db_id
stringclasses 69
values | question
stringlengths 24
325
| evidence
stringlengths 0
673
| SQL
stringlengths 23
804
| db_schema_T
stringlengths 79
5k
| db_schema
stringclasses 69
values | difficulty
stringclasses 1
value | question_id
int64 0
9.43k
| __index_level_0__
int64 0
9.43k
| db_schema_TC
stringlengths 41
1.68k
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listlengths 2
17
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int64 2
46
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stringclasses 3
values | few_shots
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
genes
|
What percentage of genes located in the cytoskeleton are of unknown class? And of these, how many are not conditional phenotypes?
|
Percentage = count(genes located in the cytoskeleton unknown class) / count(genes located in the cytoskeleton) * 100%
|
SELECT SUM(Localization = 'cytoskeleton' AND Phenotype = 'Conditional phenotypes') , CAST(SUM(Localization = 'cytoskeleton') AS REAL) * 100 / COUNT(GeneID) FROM Genes;
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,505 | 2,505 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Phenotype TEXT not null,
Localization TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"SUM",
"CAST",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
10,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
32,
33,
35,
36,
37,
39,
40,
42,
44,
45,
47,
51,
52,
53,
55,
57,
61,
62,
63,
64,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
81,
82,
83,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
98,
99,
104,
106,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
131,
138,
140,
141,
142,
143,
144,
146,
148,
152,
153,
154,
155,
158,
159,
160,
163,
164,
167,
169,
170,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
230,
233,
234,
236,
239,
240,
243,
244,
247,
248,
254,
256,
258,
259,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
282,
286,
294,
296,
299,
300,
301,
303,
304,
305,
311,
313,
314,
315,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
350,
354,
356,
358,
360,
361,
363,
364,
365,
367,
368,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
447,
448,
450,
451,
452,
453,
454,
455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
482,
483,
484,
485,
486,
487,
488,
490,
493,
494,
496,
497,
498,
500,
504,
505,
506,
507,
509,
510,
512,
514,
515,
516,
517,
518,
519,
520,
522,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
557,
558,
559,
560,
561,
562,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
584,
586,
588,
589,
591,
594,
595,
596,
597,
601,
605,
606,
608,
609,
610,
611,
612,
613,
615,
618,
620,
623,
624,
625,
626,
627,
628,
630,
632,
633,
634,
637,
638,
640,
641,
643,
645,
646,
648,
649,
650,
651,
654,
656,
658,
659,
661,
662,
663,
665,
666,
667,
668,
669,
671,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
692,
693,
694,
695,
696,
697,
699,
701,
702,
705,
707,
710,
712,
714,
715,
717,
718,
719,
721,
723,
726,
727,
730,
733,
734,
735,
736,
739,
740,
741,
743,
744,
745,
746,
747,
749,
750,
752,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
795,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
812,
813,
814,
817,
818,
819,
820,
823,
824,
825,
827,
829,
830,
831,
832,
835,
838,
839,
841,
843,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
868,
870,
871,
873,
874,
876,
877,
878,
879,
886,
888,
892,
893,
894,
895,
896,
897,
898,
901,
902,
903,
905,
907,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
928,
929,
930,
931,
932,
934,
935,
941,
943,
944,
945,
949,
950,
951,
953,
954,
956,
958,
959,
961,
962,
963,
965,
969,
973,
974,
975,
977,
981,
985,
986,
991,
993,
996,
998,
1000,
1001,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1037,
1038,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1075,
1078,
1079,
1080,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1113,
1115,
1119,
1121,
1123,
1124,
1126,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
genes
|
What type of interactions occurs in genes whose function is cellular transport and transport medicine and are classified as non-essential?
|
SELECT T2.Type FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Function = 'TRANSCRIPTION' AND T1.Essential = 'Non-Essential'
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,506 | 2,506 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Essential TEXT not null,
Function TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
CREATE TABLE `Interactions`
(
GeneID1 TEXT not null,
Type TEXT not null,
primary key GeneID1,
foreign key GeneID1 references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
785,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
genes
|
List all genes whose interaction is with genes located in the nucleus in which it is positively correlated.
|
If the Expression_Corr value is positive then it's positively correlated
|
SELECT T1.GeneID FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr > 0 AND T1.Localization = 'nucleus'
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,507 | 2,507 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Localization TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
CREATE TABLE `Interactions`
(
GeneID1 TEXT not null,
Expression_Corr REAL not null,
primary key GeneID1,
foreign key GeneID1 references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
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20,
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30,
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44,
45,
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80,
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82,
83,
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85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
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438,
440,
441,
444,
445,
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447,
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449,
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451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
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489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
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609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
genes
|
Taking all the essential genes of the transcription factors class located in the nucleus as a reference, how many of them carry out a genetic-type interaction with another gene? List them.
|
SELECT T2.GeneID1 FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Localization = 'nucleus' AND T1.Class = 'Transcription factors' AND T1.Essential = 'Essential' AND T2.Expression_Corr != 0
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,508 | 2,508 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Localization TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
CREATE TABLE `Interactions`
(
GeneID1 TEXT not null,
Expression_Corr REAL not null,
primary key GeneID1,
foreign key GeneID1 references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
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71,
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73,
74,
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76,
77,
80,
81,
82,
83,
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85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
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112,
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119,
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134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
genes
|
Of all the nonessential genes that are not of the motorprotein class and whose phenotype is cell cycle defects, how many do not have a physical type of interaction?
|
SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Type != 'Physical' AND T1.Phenotype = 'Cell cycle defects' AND T1.Class != 'Motorproteins' AND T1.Essential = 'Non-Essential'
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,509 | 2,509 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Phenotype TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
CREATE TABLE `Interactions`
(
GeneID1 TEXT not null,
Type TEXT not null,
primary key GeneID1,
foreign key GeneID1 references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
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440,
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447,
448,
449,
450,
451,
452,
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455,
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457,
459,
460,
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464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
genes
|
Of the genes whose phenotype and motif are nucleic acid metabolism defects, PS00107, what percentage perform positive interaction with another gene?
|
Percentage of no interaction = [count(nucleic acid metabolism, PS00107, no interaction) / count(nucleic acid metabolism, PS00107) * 100%
|
SELECT CAST(SUM(IIF(T2.Expression_Corr > 0, 1, 0)) AS REAL) * 100 / COUNT(T2.GeneID1) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Phenotype = 'Nucleic acid metabolism defects' AND T1.Motif = 'PS00107'
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,510 | 2,510 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Phenotype TEXT not null,
Motif TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
CREATE TABLE `Interactions`
(
GeneID1 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key GeneID1,
foreign key GeneID1 references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
genes
|
Which negatively correlated, genetically interacting genes are non-essential? What percentage do they represent with respect to those that are essential?
|
If the Expression_Corr value is negative then it's negatively correlated; Percentage of Essensity = [count(negatively correlated, genetical interaction, non-essential) / count(negatively correlated, genetical interaction, non-essential+negatively correlated, genetical interaction, essential)] * 100%
|
SELECT CAST(COUNT(T1.GeneID) AS REAL) * 100 / ( SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr < 0 ) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr < 0 AND T1.Essential = 'Non-Essential'
|
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
CREATE TABLE Classification
(
GeneID TEXT not null
primary key,
Localization TEXT not null
)
CREATE TABLE Genes
(
GeneID TEXT not null,
Essential TEXT not null,
Class TEXT not null,
Complex TEXT null,
Phenotype TEXT not null,
Motif TEXT not null,
Chromosome INTEGER not null,
Function TEXT not null,
Localization TEXT not null,
foreign key (GeneID) references Classification (GeneID)
on update cascade on delete cascade
)
CREATE TABLE Interactions
(
GeneID1 TEXT not null,
GeneID2 TEXT not null,
Type TEXT not null,
Expression_Corr REAL not null,
primary key (GeneID1, GeneID2),
foreign key (GeneID1) references Classification (GeneID)
on update cascade on delete cascade,
foreign key (GeneID2) references Classification (GeneID)
on update cascade on delete cascade
)
|
na
| 2,511 | 2,511 |
CREATE TABLE `Genes`
(
GeneID TEXT not null,
Essential TEXT not null,
foreign key GeneID references Classification GeneID
on update cascade on delete cascade
)
CREATE TABLE `Interactions`
(
GeneID1 TEXT not null,
Expression_Corr REAL not null,
primary key GeneID1,
foreign key GeneID1 references Classification GeneID
on update cascade on delete cascade
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
-1
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
How many users holds neutral attitude towards the HTC Weather app? Indicate the app's rating on the Google Play Store.
|
user holds neutral attitude refers to Sentiment = 'Neutral';
|
SELECT COUNT(T1.Rating), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'HTC Weather' AND T2.Sentiment = 'Neutral'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,514 | 2,514 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the name and category of the app with the highest amount of -1 sentiment polarity score?
|
highest amount of -1 sentiment polarity score refers to MAX(Count(Sentiment_Polarity = 1.0))
|
SELECT DISTINCT T1.App, T1.Category FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = '-1.0'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,515 | 2,515 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Category TEXT,
Reviews INTEGER
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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26,
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29,
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34,
35,
36,
37,
39,
41,
42,
44,
45,
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48,
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51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
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65,
66,
68,
69,
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71,
72,
73,
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75,
76,
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80,
81,
82,
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84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
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98,
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102,
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113,
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117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
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148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
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565,
566,
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570,
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600,
601,
602,
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606,
607,
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610,
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620,
621,
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632,
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634,
636,
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638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
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650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
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750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
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780,
781,
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802,
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804,
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806,
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810,
812,
813,
814,
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819,
822,
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825,
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830,
832,
833,
834,
835,
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838,
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841,
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846,
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850,
851,
852,
853,
854,
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858,
859,
860,
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862,
863,
866,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
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897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the average sentiment polarity score of the Cooking Fever app? Indicate the age group that the app is targeted at.
|
average sentiment polarity score = AVG(Sentiment_Polarity); age group the app is target at refers to Content Rating;
|
SELECT AVG(T2.Sentiment_Polarity), T1."Content Rating" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Cooking Fever'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,516 | 2,516 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
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]
}
|
app_store
|
What is the lowest sentiment polarity score of the Basketball Stars app for people who dislikes the app pretty much and how many downloads does it have?
|
lowest sentiment polarity score refers to MIN(Sentiment_Polarity); user dislike the app pretty much refers to Sentiment_Polarity<-0.5; number of downloads it has refers to installs;
|
SELECT MIN(T2.Sentiment_Polarity), T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Basketball Stars'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,517 | 2,517 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"MIN",
"FROM"
] | 7 |
simple
|
{
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14
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620
],
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1101,
1103,
1104,
1105,
1106,
1109,
1111,
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1115,
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1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
How many apps have rating of 5?
|
FALSE;
|
SELECT COUNT(App) FROM playstore WHERE Rating = 5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,519 | 2,519 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
"Content Rating" TEXT
)
|
[
"COUNT",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
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5,
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264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
What are the top 5 installed free apps?
|
free app refers to price = 0; most installed app refers to MAX(Installs);
|
SELECT App FROM playstore WHERE Price = 0 ORDER BY CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,520 | 2,520 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Installs TEXT,
Price TEXT
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"DESC",
"CAST",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
1,
6,
10,
11,
13,
15,
16,
17,
20,
24,
28,
29,
35,
36,
38,
43,
49,
55,
59,
61,
62,
64,
69,
73,
75,
77,
78,
86,
87,
89,
93,
106,
108,
113,
119,
120,
121,
125,
133,
138,
148,
150,
152,
159,
162,
163,
167,
173,
174,
179,
181,
184,
185,
187,
188,
192,
195,
199,
200,
201,
202,
206,
208,
212,
213,
215,
223,
225,
226,
229,
233,
234,
236,
239,
247,
248,
252,
254,
261,
262,
263,
264,
267,
271,
275,
278,
281,
285,
286,
291,
300,
304,
309,
311,
313,
314,
316,
317,
319,
320,
322,
323,
324,
329,
334,
335,
336,
337,
341,
342,
345,
347,
348,
349,
352,
353,
356,
359,
360,
364,
365,
367,
371,
373,
375,
378,
379,
380,
381,
383,
385,
394,
395,
400,
403,
404,
406,
409,
411,
412,
423,
428,
429,
434,
435,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
469,
476,
478,
482,
483,
485,
487,
495,
497,
500,
504,
505,
510,
517,
527,
530,
532,
534,
535,
536,
537,
538,
540,
542,
547,
548,
552,
555,
560,
563,
564,
566,
567,
575,
576,
578,
579,
580,
581,
583,
584,
586,
590,
592,
595,
597,
611,
619,
620,
621,
623,
625,
626,
634,
637,
638,
645,
654,
657,
658,
659,
661,
662,
664,
665,
669,
676,
681,
686,
688,
690,
691,
698,
701,
703,
708,
710,
713,
719,
732,
733,
735,
740,
744,
748,
750,
752,
753,
759,
760,
762,
768,
772,
778,
787,
790,
795,
796,
798,
800,
802,
803,
808,
810,
813,
815,
818,
823,
827,
830,
832,
836,
841,
850,
851,
861,
866,
869,
870,
874,
876,
886,
889,
891,
893,
894,
896,
898,
901,
909,
911,
912,
913,
918,
922,
924,
926,
927,
929,
934,
943,
946,
950,
951,
953,
954,
956,
958,
959,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
985,
987,
989,
994,
998,
1004,
1005,
1006,
1008,
1010,
1013,
1017,
1023,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1062,
1064,
1065,
1067,
1068,
1069,
1070,
1072,
1075,
1076,
1077,
1078,
1082,
1083,
1087,
1094,
1121,
1124,
1128,
1137,
1139,
1141
]
}
|
app_store
|
Name the top 10 most reviewed apps.
|
most reviewed app refers to MAX(Reviews);
|
SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,521 | 2,521 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
110,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
229,
233,
239,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
328,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
app_store
|
How many of the users hold neutral attitude on "10 Best Foods for You" app and what category is this app?
|
neutral attitude refers to Sentiment = 'Neutral';
|
SELECT COUNT(T2.App), T1.Category FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '10 Best Foods for You' AND T2.Sentiment = 'Neutral'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,522 | 2,522 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Category TEXT,
Reviews INTEGER
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
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95,
96,
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126,
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134,
135,
136,
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140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
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370,
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374,
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379,
380,
381,
382,
383,
384,
385,
386,
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388,
389,
390,
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392,
393,
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399,
401,
402,
403,
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409,
411,
412,
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415,
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511,
512,
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515,
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520,
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522,
523,
524,
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528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
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547,
548,
550,
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560,
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562,
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565,
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567,
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570,
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610,
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612,
613,
614,
615,
616,
618,
620,
621,
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624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
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749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
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796,
797,
798,
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800,
802,
803,
804,
805,
806,
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809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
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824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
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1034,
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1038,
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1042,
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1080,
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1092,
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1100,
1101,
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1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What are the apps that users pretty like this app and how many installs amount of these apps?
|
users pretty much likes the app refers to Sentiment_Polarity = 'Positive';
|
SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,523 | 2,523 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
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996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
List apps whose rating is 3.9 and state the translated review of each app.
|
lowest rating refers to Rating = 1;
|
SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,524 | 2,524 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
14
],
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14,
195,
620
],
"case_3": [
14,
195,
620,
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],
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14,
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}
|
app_store
|
Which apps have multiple genres and what is the total sentiment subjectivity of these apps?
|
multiple genres refers to COUNT(Genres>1; total sentiment subjectivity = Sum(Sentiment_Subjectivity);
|
SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,526 | 2,526 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
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14,
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620,
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1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Which apps have not been updated since year 2015 and what kind of sentiment users hold on it?
|
since year 2015 refers to "Last Updated"<'January 1, 2015';
|
SELECT DISTINCT App, Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE CAST(SUBSTR('Last Updated', -4, 4) AS INTEGER) < 2015 )
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,527 | 2,527 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"IN",
"SUBSTR",
"CAST",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
195,
620
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
6,
7,
10,
16,
22,
24,
35,
61,
64,
77,
87,
89,
93,
106,
113,
119,
120,
140,
148,
152,
166,
184,
189,
192,
195,
200,
201,
207,
212,
215,
219,
223,
225,
226,
234,
236,
248,
254,
261,
264,
267,
271,
278,
300,
304,
316,
317,
322,
323,
335,
341,
347,
360,
367,
375,
380,
382,
383,
393,
406,
409,
412,
423,
448,
451,
452,
453,
458,
476,
478,
483,
485,
487,
500,
504,
510,
514,
517,
527,
535,
537,
540,
547,
555,
560,
563,
564,
575,
580,
581,
597,
620,
623,
630,
658,
661,
662,
663,
676,
686,
690,
710,
740,
744,
750,
753,
762,
772,
787,
795,
796,
798,
800,
802,
808,
810,
813,
832,
841,
851,
870,
874,
894,
896,
898,
909,
912,
913,
922,
924,
926,
943,
958,
959,
985,
998,
1004,
1008,
1023,
1062,
1064,
1069,
1070,
1072,
1075,
1078,
1082,
1087,
1121,
1128
]
}
|
app_store
|
What is the total installs of apps with content rating of adults only 18+ and what are the translated reviews of it?
|
total installs = SUM(Installs);
|
SELECT SUM(T1.Installs), T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Adults only 18+'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,528 | 2,528 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
Installs TEXT,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Which of the app is the best selling app and what is the sentiments polarity of it?
|
best selling app = MAX(MULTIPLY(Price, Installs));
|
SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,529 | 2,529 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT,
Price TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"CAST",
"FROM"
] | 11 |
medium
|
{
"case_1": [
620
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
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760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
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777,
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780,
782,
783,
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788,
790,
792,
793,
796,
797,
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800,
802,
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804,
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806,
807,
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810,
812,
813,
814,
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818,
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822,
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825,
827,
828,
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830,
832,
833,
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835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
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930,
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937,
938,
940,
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944,
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949,
950,
951,
952,
953,
954,
956,
958,
959,
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963,
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967,
969,
970,
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972,
973,
974,
975,
977,
980,
981,
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985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
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1046,
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1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
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1080,
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1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
app_store
|
What is the average rating of comic category apps? How many users hold positive attitude towards this app?
|
average rating = AVG(Rating where Category = 'COMICS'); number of users who hold a positive attitude towards the app refers to SUM(Sentiment = 'Positive');
|
SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,530 | 2,530 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"AVG",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
620
],
"case_2": [
195,
620
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
4,
6,
11,
16,
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36,
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382,
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393,
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411,
412,
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423,
424,
426,
427,
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445,
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452,
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458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
586,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
694,
696,
704,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
784,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
812,
813,
814,
818,
819,
824,
827,
830,
833,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
862,
863,
866,
867,
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870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
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981,
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993,
996,
1001,
1005,
1006,
1008,
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1013,
1015,
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1022,
1023,
1025,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1060,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
app_store
|
What is the rating for "Draw A Stickman"?
|
Draw A Stickman refers to App = 'Draw A Stickman';
|
SELECT Rating FROM playstore WHERE APP = 'Draw A Stickman'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,531 | 2,531 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
"Content Rating" TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
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157,
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160,
161,
162,
163,
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165,
166,
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170,
171,
172,
173,
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176,
177,
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179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
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194,
195,
196,
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198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
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322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
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351,
352,
353,
354,
355,
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359,
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379,
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381,
382,
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385,
386,
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395,
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398,
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415,
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445,
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448,
449,
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457,
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459,
460,
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467,
468,
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471,
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474,
475,
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511,
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518,
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520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
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567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
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585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
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610,
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612,
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616,
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618,
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687,
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690,
691,
692,
693,
694,
695,
696,
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698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
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720,
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722,
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730,
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733,
734,
735,
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737,
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740,
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743,
744,
745,
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750,
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752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
How many of the reviews for the app "Brit + Co" have a comment?
|
Brit + Co refers to App = 'Brit + Co'; comment refers to Translated Review NOT null;
|
SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL
|
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,532 | 2,532 |
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AND",
"SELECT",
"NULL",
"NOT",
"COUNT",
"IS",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1014
],
"case_2": [
1014
],
"case_3": [
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
2,
4,
16,
22,
30,
32,
37,
40,
42,
47,
51,
53,
63,
67,
68,
69,
73,
74,
75,
88,
92,
93,
96,
98,
106,
109,
113,
115,
117,
118,
119,
125,
126,
131,
138,
142,
143,
146,
148,
150,
152,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
195,
197,
200,
214,
227,
230,
244,
256,
258,
259,
263,
267,
268,
276,
277,
294,
298,
299,
301,
303,
305,
314,
317,
319,
325,
330,
339,
341,
370,
374,
375,
382,
383,
391,
393,
395,
398,
399,
402,
403,
406,
416,
417,
421,
423,
424,
426,
436,
443,
444,
448,
458,
464,
469,
476,
477,
478,
479,
485,
490,
493,
500,
508,
510,
512,
514,
515,
516,
519,
520,
522,
526,
528,
533,
537,
544,
554,
558,
559,
563,
573,
581,
582,
589,
591,
594,
595,
601,
608,
613,
618,
620,
627,
629,
632,
633,
637,
641,
646,
656,
663,
667,
668,
671,
672,
680,
687,
692,
706,
707,
712,
714,
718,
719,
724,
727,
730,
734,
735,
739,
740,
743,
749,
753,
756,
760,
768,
772,
797,
798,
799,
800,
804,
805,
814,
817,
819,
820,
824,
830,
831,
837,
838,
843,
844,
849,
851,
853,
867,
870,
877,
880,
886,
888,
894,
896,
902,
903,
917,
923,
924,
926,
927,
930,
935,
941,
945,
954,
956,
958,
961,
965,
969,
978,
982,
985,
986,
996,
1008,
1014,
1020,
1022,
1023,
1036,
1042,
1048,
1058,
1059,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1079,
1084,
1086,
1100,
1101,
1103,
1104,
1119,
1121,
1123,
1126,
1128,
1129,
1131,
1133,
1134
]
}
|
app_store
|
List the top 5 shopping apps with the most reviews.
|
shopping apps refers to Genre = 'Shopping'; most reviews refers to MAX(Reviews);
|
SELECT DISTINCT App FROM playstore WHERE Genres = 'Shopping' GROUP BY App ORDER BY COUNT(App) DESC LIMIT 5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,533 | 2,533 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Genres TEXT
)
|
[
"GROUP BY",
"SELECT",
"ORDER BY",
"LIMIT",
"COUNT",
"FROM",
"DESC"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
22,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
115,
121,
125,
126,
133,
138,
140,
142,
143,
150,
159,
162,
163,
167,
169,
173,
174,
179,
181,
182,
185,
187,
188,
191,
199,
202,
206,
208,
213,
214,
229,
233,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
329,
334,
336,
337,
341,
342,
344,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
424,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
466,
469,
473,
481,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
630,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
696,
698,
701,
703,
708,
713,
718,
719,
721,
732,
733,
735,
743,
748,
752,
759,
760,
768,
778,
779,
790,
803,
810,
815,
817,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
993,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1070,
1076,
1077,
1083,
1094,
1106,
1124,
1135,
1137,
1139,
1141
]
}
|
app_store
|
How many neutral reviews does the app "Dino War: Rise of Beasts" have?
|
neutral reviews refers to Sentiment = 'Neutral';
|
SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'
|
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,534 | 2,534 |
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"COUNT",
"AND",
"SELECT",
"FROM"
] | 4 |
simple
|
{
"case_1": [
1014
],
"case_2": [
1014
],
"case_3": [
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
35,
36,
37,
38,
39,
40,
43,
44,
45,
47,
50,
51,
52,
53,
55,
56,
57,
61,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
78,
79,
82,
85,
86,
87,
88,
89,
90,
91,
93,
95,
96,
98,
99,
100,
106,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
138,
140,
141,
142,
143,
144,
146,
147,
148,
152,
154,
157,
158,
159,
160,
163,
164,
167,
168,
169,
170,
172,
173,
175,
176,
177,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
200,
202,
203,
206,
210,
212,
214,
216,
219,
223,
224,
225,
226,
227,
229,
230,
233,
234,
239,
240,
243,
244,
247,
252,
254,
255,
256,
258,
259,
261,
262,
265,
266,
267,
268,
269,
270,
271,
272,
273,
275,
276,
277,
278,
282,
286,
291,
293,
294,
296,
299,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
350,
352,
354,
356,
358,
359,
360,
361,
362,
364,
367,
368,
370,
371,
373,
374,
375,
376,
380,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
408,
409,
410,
411,
412,
413,
414,
416,
417,
418,
419,
420,
421,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
439,
440,
443,
444,
445,
446,
447,
448,
451,
452,
453,
454,
455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
481,
482,
484,
485,
487,
488,
490,
492,
493,
494,
496,
497,
498,
500,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
524,
526,
528,
529,
530,
531,
532,
533,
535,
536,
537,
538,
539,
541,
542,
543,
544,
545,
547,
548,
551,
552,
554,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
585,
586,
588,
589,
591,
594,
595,
596,
597,
598,
599,
601,
603,
605,
606,
608,
610,
611,
612,
613,
615,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
656,
658,
659,
661,
662,
663,
664,
665,
666,
667,
668,
669,
671,
673,
675,
677,
678,
679,
680,
681,
683,
684,
685,
686,
687,
688,
689,
690,
692,
693,
694,
696,
697,
698,
699,
702,
703,
705,
707,
712,
714,
715,
716,
718,
719,
721,
726,
727,
730,
733,
734,
735,
736,
737,
739,
740,
741,
743,
746,
747,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
763,
765,
767,
768,
769,
770,
772,
773,
775,
776,
777,
778,
779,
780,
783,
785,
787,
788,
790,
793,
794,
795,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
827,
829,
830,
831,
832,
835,
838,
839,
840,
841,
843,
844,
848,
849,
851,
853,
855,
857,
858,
859,
860,
861,
864,
865,
866,
867,
869,
870,
873,
874,
876,
877,
878,
879,
886,
888,
890,
892,
893,
894,
895,
896,
897,
898,
899,
901,
902,
903,
905,
907,
909,
911,
912,
913,
915,
917,
918,
920,
922,
923,
924,
926,
927,
928,
930,
931,
932,
934,
935,
941,
942,
943,
944,
945,
949,
950,
951,
953,
954,
956,
958,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
981,
983,
985,
986,
991,
993,
996,
998,
1000,
1001,
1005,
1006,
1008,
1009,
1010,
1011,
1013,
1014,
1015,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1030,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1053,
1055,
1057,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1090,
1092,
1094,
1096,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1113,
1115,
1117,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What are the apps with only 5,000+ installs?
|
Installs = '5,000+';
|
SELECT DISTINCT App FROM playstore WHERE Installs = '5,000+'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,535 | 2,535 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Installs TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
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370,
371,
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377,
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379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
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401,
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501,
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751,
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755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
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1040,
1041,
1042,
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1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
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1061,
1062,
1063,
1064,
1065,
1066,
1067,
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1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
List all the negative comments on the "Dog Run - Pet Dog Simulator" app.
|
negative comment refers to Sentiment = 'Negative';
|
SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'
|
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,536 | 2,536 |
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AND",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
1014
],
"case_2": [
1014
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
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16,
17,
18,
19,
20,
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30,
31,
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39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
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67,
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69,
70,
71,
72,
73,
74,
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76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
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542,
543,
544,
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547,
548,
549,
550,
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558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
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739,
740,
741,
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743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
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1077,
1078,
1079,
1080,
1081,
1082,
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1085,
1086,
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1088,
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1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
Which free app has the most Negative comments?
|
paid app refers to Type = 'Paid'; negative comment refers to Sentiment = 'Negative'; paid app with most negative comments refers to MAX(COUNT(Sentiment = 'Negative')) where Type = 'Paid';
|
SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Type = 'Free' AND T2.Sentiment = 'Negative' GROUP BY T1.App ORDER BY COUNT(T2.Sentiment) DESC LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,537 | 2,537 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Type TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
620
],
"case_2": [
620
],
"case_3": [
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
4,
5,
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8,
10,
11,
12,
13,
15,
16,
19,
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21,
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29,
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33,
36,
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71,
73,
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85,
86,
88,
89,
90,
91,
93,
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96,
98,
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106,
108,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
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138,
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141,
142,
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144,
146,
148,
150,
152,
154,
158,
159,
160,
162,
163,
164,
167,
169,
170,
172,
173,
175,
176,
177,
179,
180,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
219,
225,
226,
227,
229,
233,
234,
239,
240,
243,
244,
247,
252,
254,
256,
258,
261,
262,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
281,
282,
285,
286,
291,
296,
299,
301,
309,
311,
313,
314,
315,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
361,
364,
365,
368,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
429,
433,
434,
435,
436,
437,
438,
440,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
482,
484,
487,
488,
490,
493,
494,
495,
496,
497,
498,
500,
505,
507,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
541,
542,
544,
547,
548,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
588,
589,
590,
592,
595,
596,
597,
605,
606,
608,
610,
611,
612,
613,
615,
620,
621,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
648,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
666,
668,
669,
671,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
696,
697,
698,
699,
701,
702,
703,
705,
712,
714,
715,
719,
720,
721,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
746,
747,
748,
749,
750,
751,
752,
753,
754,
756,
758,
759,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
796,
797,
799,
800,
802,
803,
804,
806,
807,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
829,
830,
832,
835,
838,
839,
841,
844,
848,
849,
850,
851,
853,
857,
858,
859,
860,
861,
866,
867,
869,
870,
873,
874,
876,
877,
878,
879,
882,
886,
888,
889,
891,
892,
893,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
928,
929,
930,
931,
932,
934,
935,
943,
944,
949,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
974,
975,
977,
981,
983,
985,
986,
987,
991,
993,
994,
996,
1000,
1001,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1019,
1022,
1023,
1025,
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1080,
1082,
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1091,
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1101,
1103,
1104,
1105,
1106,
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1112,
1115,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
How many negative comments are there in all the apps with 100,000,000+ installs?
|
negative comment refers to Sentiment = 'Negative'; Installs = '100,000,000+';
|
SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,538 | 2,538 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
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48,
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102,
105,
106,
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135,
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138,
139,
140,
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142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
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165,
166,
167,
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170,
171,
172,
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176,
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179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
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200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
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220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
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243,
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248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
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490,
491,
493,
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495,
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497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What are the content ratings for the apps that have "gr8" in their comments?
|
app with gr8 in their comments refers to Translated_Review LIKE '%gr8%';
|
SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,539 | 2,539 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
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559,
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563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the total Sentiment polarity score of the most expensive app?
|
total sentiment polarity score = sum(Sentiment_Polarity); most expensive app refers to MAX(Price);
|
SELECT SUM(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Price = ( SELECT MAX(Price) FROM playstore )
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,540 | 2,540 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Price TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 10 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
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436,
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440,
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444,
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446,
447,
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449,
450,
451,
452,
453,
454,
455,
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459,
460,
462,
463,
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465,
466,
467,
469,
470,
471,
472,
473,
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475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
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580,
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586,
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589,
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592,
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597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
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750,
751,
752,
753,
754,
755,
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758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
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779,
780,
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783,
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788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
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1042,
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1103,
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1109,
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1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the rating for "Garden Coloring Book"? List all of its reviews.
|
Golfshot Plus: Golf GPS refers to App = 'Golfshot Plus: Golf GPS'; review refers to Translated_Review;
|
SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,541 | 2,541 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
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688,
690,
691,
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699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
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722,
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728,
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740,
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924,
925,
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927,
928,
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950,
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958,
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970,
971,
973,
974,
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977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Which Photography app has the highest total Sentiment subjectivity score?
|
Photography app refers to Genre = 'Photography'; highest total sentiment subjectivity score = MAX(sum(Sentiment_Subjectivity));
|
SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,542 | 2,542 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"SUM",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
195
],
"case_3": [
195
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
1,
6,
10,
11,
13,
15,
20,
22,
24,
28,
29,
36,
39,
42,
49,
55,
59,
62,
64,
69,
71,
73,
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77,
78,
81,
83,
86,
89,
93,
94,
108,
112,
113,
115,
120,
121,
125,
126,
127,
129,
138,
140,
141,
142,
143,
148,
150,
153,
155,
159,
162,
163,
167,
169,
173,
179,
184,
186,
187,
188,
189,
191,
195,
199,
200,
201,
202,
206,
207,
212,
213,
214,
219,
225,
226,
228,
229,
233,
234,
236,
239,
247,
248,
252,
254,
261,
262,
264,
275,
278,
279,
281,
285,
286,
300,
304,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
329,
334,
335,
336,
341,
342,
344,
345,
347,
348,
349,
352,
353,
356,
359,
360,
363,
364,
365,
371,
373,
378,
379,
381,
383,
385,
394,
395,
402,
403,
409,
411,
412,
415,
424,
427,
428,
429,
434,
435,
438,
444,
445,
448,
450,
451,
452,
454,
460,
462,
469,
470,
473,
476,
482,
483,
486,
487,
488,
495,
497,
500,
505,
518,
530,
532,
535,
536,
537,
538,
540,
542,
547,
548,
550,
552,
560,
563,
564,
566,
567,
571,
575,
578,
579,
580,
581,
584,
586,
590,
592,
595,
597,
609,
611,
612,
621,
623,
625,
626,
628,
630,
634,
637,
638,
640,
645,
650,
651,
654,
657,
658,
659,
662,
664,
665,
666,
669,
676,
681,
682,
686,
688,
690,
691,
695,
696,
698,
701,
703,
710,
717,
719,
720,
721,
723,
733,
735,
740,
743,
744,
745,
747,
748,
750,
751,
752,
753,
759,
760,
762,
768,
776,
777,
778,
779,
787,
788,
790,
796,
800,
802,
803,
808,
810,
813,
818,
823,
825,
827,
830,
832,
841,
848,
850,
851,
861,
866,
868,
869,
870,
871,
874,
876,
882,
886,
889,
891,
893,
896,
901,
909,
911,
912,
918,
922,
924,
927,
929,
932,
934,
943,
944,
950,
951,
953,
954,
956,
958,
959,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
987,
993,
994,
1004,
1005,
1006,
1010,
1012,
1013,
1017,
1023,
1025,
1027,
1030,
1031,
1034,
1037,
1038,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1064,
1065,
1067,
1068,
1076,
1077,
1078,
1082,
1087,
1091,
1092,
1094,
1098,
1100,
1106,
1124,
1135,
1137
]
}
|
app_store
|
List all the comments on the lowest rated Mature 17+ app.
|
comments refers to Translated_Review; lowest rated refers to Rating = 1; Mature 17+ refers to Content Rating = 'Mature 17+ ';
|
SELECT T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Mature 17+' ORDER BY T1.Rating LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,543 | 2,543 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
713,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
989,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1024,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1075,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
app_store
|
What is the number of installments of the app with the highest total Sentiment polarity score?
|
installments refers to Installs; highest total sentiment polarity score = MAX(SUM(Sentiment_Polarity));
|
SELECT T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Polarity) DESC LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,544 | 2,544 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"SUM",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
195
],
"case_3": [
195
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
1,
6,
10,
11,
13,
15,
20,
22,
24,
28,
29,
36,
39,
42,
49,
55,
59,
62,
64,
69,
71,
73,
75,
77,
78,
81,
83,
86,
89,
93,
94,
108,
112,
113,
115,
120,
121,
125,
126,
127,
129,
138,
140,
141,
142,
143,
148,
150,
153,
155,
159,
162,
163,
167,
169,
173,
179,
184,
186,
187,
188,
189,
191,
195,
199,
200,
201,
202,
206,
207,
212,
213,
214,
219,
225,
226,
228,
229,
233,
234,
236,
239,
247,
248,
252,
254,
261,
262,
264,
275,
278,
279,
281,
285,
286,
300,
304,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
329,
334,
335,
336,
341,
342,
344,
345,
347,
348,
349,
352,
353,
356,
359,
360,
363,
364,
365,
371,
373,
378,
379,
381,
383,
385,
394,
395,
402,
403,
409,
411,
412,
415,
424,
427,
428,
429,
434,
435,
438,
444,
445,
448,
450,
451,
452,
454,
460,
462,
469,
470,
473,
476,
482,
483,
486,
487,
488,
495,
497,
500,
505,
518,
530,
532,
535,
536,
537,
538,
540,
542,
547,
548,
550,
552,
560,
563,
564,
566,
567,
571,
575,
578,
579,
580,
581,
584,
586,
590,
592,
595,
597,
609,
611,
612,
621,
623,
625,
626,
628,
630,
634,
637,
638,
640,
645,
650,
651,
654,
657,
658,
659,
662,
664,
665,
666,
669,
676,
681,
682,
686,
688,
690,
691,
695,
696,
698,
701,
703,
710,
717,
719,
720,
721,
723,
733,
735,
740,
743,
744,
745,
747,
748,
750,
751,
752,
753,
759,
760,
762,
768,
776,
777,
778,
779,
787,
788,
790,
796,
800,
802,
803,
808,
810,
813,
818,
823,
825,
827,
830,
832,
841,
848,
850,
851,
861,
866,
868,
869,
870,
871,
874,
876,
882,
886,
889,
891,
893,
896,
901,
909,
911,
912,
918,
922,
924,
927,
929,
932,
934,
943,
944,
950,
951,
953,
954,
956,
958,
959,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
987,
993,
994,
1004,
1005,
1006,
1010,
1012,
1013,
1017,
1023,
1025,
1027,
1030,
1031,
1034,
1037,
1038,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1064,
1065,
1067,
1068,
1076,
1077,
1078,
1082,
1087,
1091,
1092,
1094,
1098,
1100,
1106,
1124,
1135,
1137
]
}
|
app_store
|
What is the number of neutral comments from all the weather apps?
|
neutral comments refers to Sentiment = 'Neutral'; weather app refers to Genre = 'Weather';
|
SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Weather' AND T2.Sentiment = 'Neutral'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,545 | 2,545 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
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141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
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268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
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438,
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445,
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447,
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490,
491,
493,
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495,
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497,
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501,
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505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
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522,
523,
524,
526,
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529,
530,
532,
533,
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539,
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571,
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621,
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651,
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654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
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753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
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790,
792,
793,
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797,
798,
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802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
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824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
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935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
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1050,
1051,
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1098,
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1100,
1101,
1103,
1104,
1105,
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1111,
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1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Which 1,000,000,000+ intalls apps has the most no comment reviews?
|
no comment refers to Translated_Review = 'nan'; most no comment reviews = (MAX(COUNT(Translated_Review = 'nan')));
|
SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,546 | 2,546 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
620
],
"case_2": [
620
],
"case_3": [
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
4,
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487,
488,
490,
493,
494,
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496,
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1128,
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1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the rating and the total Sentiment subjectivity score of "Onefootball - Soccer Scores"?
|
Onefootball - Soccer Scores refers to App = 'Onefootball - Soccer Scores';
|
SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,547 | 2,547 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
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61,
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70,
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73,
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76,
77,
80,
81,
82,
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86,
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93,
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104,
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155,
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162,
163,
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170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What percentage of no comment reviews are from "Teen" content rating apps?
|
no comment refers to Translated_Review = 'nan'; percentage = DIVIDE((SUM(Content Rating = 'Teen')), COUNT(*));
|
SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,548 | 2,548 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 13 |
medium
|
{
"case_1": [
620
],
"case_2": [
195,
620
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
app_store
|
Which apps have 5 rating? List out then application name.
|
application name refers to App;
|
SELECT DISTINCT App FROM playstore WHERE Rating = 5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,549 | 2,549 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
"Content Rating" TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
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1048,
1049,
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1051,
1052,
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1054,
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1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
Which apps have been reviewed more than 75 000 000 times and the content is suitable for teenagers?
|
Reviews>75000000; suitable for teenagers refers to Content Rating = 'Teen';
|
SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,550 | 2,550 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
|
[
"AND",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
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620,
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],
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198,
199,
200,
201,
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207,
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221,
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255,
256,
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258,
259,
260,
261,
262,
263,
264,
265,
266,
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268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
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322,
323,
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333,
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352,
353,
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372,
373,
374,
375,
376,
377,
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379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
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395,
396,
397,
398,
399,
400,
401,
402,
403,
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413,
414,
415,
416,
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508,
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523,
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526,
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528,
529,
530,
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532,
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751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
List out genre that have downloads more than 1000000000.
|
downloads and installs are synonyms; Installs = '1,000,000,000+';
|
SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,551 | 2,551 |
CREATE TABLE `playstore`
(
Installs TEXT,
Genres TEXT
)
|
[
"GROUP BY",
"SELECT",
"FROM"
] | 3 |
simple
|
{
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}
|
app_store
|
What is the average price for a dating application?
|
average price = AVG(Price where Genre = 'Dating'); dating application refers to Genre = 'Dating';
|
SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,552 | 2,552 |
CREATE TABLE `playstore`
(
Price TEXT,
Genres TEXT
)
|
[
"SELECT",
"FROM",
"AVG"
] | 3 |
simple
|
{
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"case_2": [
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648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
What is the average download for entertainment apps with size no more than 1.0 M?
|
downloads and installs are synonyms; entertainment apps refers to Category = 'ENTERTAINMENT';
|
SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,553 | 2,553 |
CREATE TABLE `playstore`
(
Category TEXT,
Installs TEXT
)
|
[
"AS",
"AND",
"SELECT",
"AVG",
"CAST",
"FROM"
] | 6 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
2,
4,
5,
6,
8,
10,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
35,
37,
39,
44,
45,
47,
51,
52,
53,
57,
61,
63,
64,
66,
68,
69,
71,
73,
74,
75,
76,
77,
79,
80,
85,
87,
88,
90,
93,
95,
96,
98,
99,
106,
111,
112,
113,
115,
116,
117,
118,
119,
120,
125,
127,
128,
129,
131,
137,
138,
141,
142,
143,
144,
146,
148,
152,
154,
158,
160,
163,
164,
169,
170,
172,
175,
176,
177,
178,
180,
183,
184,
187,
192,
195,
197,
200,
201,
211,
212,
214,
215,
219,
220,
223,
225,
226,
227,
232,
234,
235,
236,
239,
240,
244,
246,
248,
254,
256,
258,
261,
262,
264,
265,
266,
267,
268,
271,
272,
275,
276,
277,
278,
282,
295,
296,
300,
301,
304,
305,
314,
315,
316,
317,
319,
322,
323,
325,
330,
333,
335,
339,
341,
347,
356,
360,
361,
367,
368,
370,
374,
375,
376,
380,
382,
383,
385,
391,
393,
395,
398,
402,
403,
405,
406,
407,
408,
409,
412,
413,
414,
416,
417,
419,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
444,
446,
448,
451,
452,
453,
455,
458,
463,
464,
469,
470,
475,
476,
477,
478,
480,
482,
483,
485,
487,
490,
493,
494,
496,
497,
498,
500,
504,
507,
510,
514,
515,
516,
517,
519,
520,
522,
524,
526,
527,
528,
529,
530,
533,
535,
537,
539,
540,
541,
544,
547,
557,
558,
559,
560,
561,
562,
563,
564,
575,
580,
581,
582,
584,
586,
588,
589,
595,
597,
601,
605,
608,
610,
612,
613,
615,
620,
623,
624,
625,
626,
627,
632,
633,
637,
641,
643,
648,
651,
658,
661,
662,
663,
666,
668,
671,
675,
676,
677,
678,
683,
684,
685,
686,
687,
690,
693,
696,
697,
699,
702,
704,
710,
712,
714,
715,
726,
727,
734,
735,
736,
739,
740,
741,
743,
744,
746,
747,
749,
750,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
772,
773,
775,
776,
777,
780,
781,
783,
784,
787,
788,
793,
795,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
813,
814,
819,
824,
825,
829,
830,
832,
833,
835,
838,
841,
844,
848,
849,
851,
853,
858,
859,
860,
861,
862,
863,
864,
867,
870,
873,
874,
877,
878,
879,
886,
888,
892,
894,
895,
896,
898,
902,
905,
907,
909,
912,
913,
917,
922,
923,
924,
926,
928,
930,
931,
932,
935,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
985,
986,
991,
996,
998,
1000,
1001,
1004,
1008,
1017,
1019,
1022,
1023,
1025,
1027,
1031,
1039,
1042,
1044,
1046,
1058,
1060,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1075,
1078,
1080,
1081,
1082,
1084,
1086,
1087,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1121,
1123,
1128,
1131,
1136
]
}
|
app_store
|
What is the average review number for application with 5 rating?
|
average review = AVG(Review); application refers to app; Rating = 5;
|
SELECT AVG(Reviews) FROM playstore WHERE Rating = 5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,554 | 2,554 |
CREATE TABLE `playstore`
(
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
|
[
"SELECT",
"FROM",
"AVG"
] | 3 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
app_store
|
List out the top 3 genre for application with a sentiment review greater than 0.5.
|
sentiment review refers to Sentiment_Polarity; Sentiment_Polarity>0.5;
|
SELECT Genres FROM playstore WHERE App IN ( SELECT App FROM user_reviews WHERE Sentiment = 'Positive' AND Sentiment_Polarity > 0.5 ORDER BY Sentiment_Polarity DESC LIMIT 3 )
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,555 | 2,555 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"IN",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
22,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
109,
119,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
219,
229,
233,
239,
247,
252,
262,
263,
270,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
393,
394,
395,
399,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
514,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
663,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
817,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
903,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
app_store
|
What is the percentage of application with 4.7 rating having more positives sentiment than negative sentiment?
|
percentage = DIVIDE(SUBTRACT(SUM(Sentiment = 'Positive')), (SUM(Sentiment = 'Negative')), SUM(Sentiment = 'Negative')) as percentage; having more positive sentiment than negative sentiment refers to Sentiment = 'Positive'>Sentiment = 'Negative';
|
SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,556 | 2,556 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 24 |
challenging
|
{
"case_1": [
195
],
"case_2": [
195,
620
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
4,
6,
11,
16,
20,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
173,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
303,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
364,
365,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
586,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
638,
640,
641,
645,
646,
649,
651,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
701,
705,
706,
710,
712,
714,
720,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
751,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
823,
824,
827,
830,
832,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
882,
886,
888,
889,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
932,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1025,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1070,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1091,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
app_store
|
List down app that does not have negative sentiment and give their average rating?
|
doest not have negative sentiment refers to Sentiment! = 'Negative'; average = AVG(Sentiment_Polarity);
|
SELECT T1.App, AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment != 'Negative' GROUP BY T1.App
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,557 | 2,557 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
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898,
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901,
902,
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907,
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909,
910,
911,
912,
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915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
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1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the percentage for free application with a rating 4.5 and above have not been updated since 2018?
|
paid refers to Type = 'Paid'; application refers to App; Rating>4.5; Last Updated>'2018; percentage = DIVIDE(SUM(Genres = 'Mature 17+' and Rating>4.5 and substr("Last Updated",-4,4)>'2018' )), (COUNT(App)) as percent;
|
SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,559 | 2,559 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
"Content Rating" TEXT
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"SUM",
"CASE",
"SUBSTR",
"CAST",
"COUNT",
"FROM"
] | 10 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
6,
16,
24,
35,
42,
54,
61,
64,
71,
77,
81,
87,
93,
104,
106,
113,
119,
120,
122,
127,
129,
148,
152,
153,
155,
169,
173,
184,
189,
191,
192,
195,
201,
207,
212,
215,
219,
223,
225,
226,
234,
236,
248,
254,
261,
264,
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279,
299,
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304,
316,
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415,
423,
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438,
448,
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458,
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485,
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487,
500,
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510,
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518,
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958,
959,
985,
998,
1008,
1012,
1023,
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1064,
1069,
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1078,
1082,
1087,
1092,
1098,
1100,
1121,
1128,
1131,
1133,
1134,
1135
]
}
|
app_store
|
What genre does Honkai Impact 3rd belong to?
|
Honkai Impact 3rd is the App;
|
SELECT DISTINCT Genres FROM playstore WHERE App = 'Honkai Impact 3rd'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,560 | 2,560 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Genres TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
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172,
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176,
177,
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179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
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212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
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240,
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243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
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325,
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377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
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406,
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468,
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470,
471,
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475,
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477,
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480,
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482,
483,
484,
485,
486,
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488,
489,
490,
491,
492,
493,
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496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
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725,
726,
727,
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730,
731,
732,
733,
734,
735,
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737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
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]
}
|
app_store
|
List down the rating for the App Learn C++.
|
FALSE;
|
SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,561 | 2,561 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
"Content Rating" TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
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1141
]
}
|
app_store
|
What is the average price of games belonging in the arcade genre which has a content rating of Everyone 10+?
|
average price = AVG(Price);
|
SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,562 | 2,562 |
CREATE TABLE `playstore`
(
Price TEXT,
Genres TEXT
)
|
[
"AND",
"SELECT",
"FROM",
"AVG"
] | 4 |
simple
|
{
"case_1": [
1008
],
"case_2": [
1008
],
"case_3": [
1008,
1014
],
"case_4": [
14,
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620,
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],
"case_5": [
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1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1136
]
}
|
app_store
|
How much is the size of Browser 4G and how many users have a pretty positive favorability on it?
|
Browser 4G is the App; pretty positive favorability refers to Sentiment_Polarity score = 0.5
|
SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,563 | 2,563 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Size TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008,
1014
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
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951,
952,
953,
954,
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958,
959,
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962,
963,
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965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
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1069,
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1071,
1072,
1074,
1078,
1079,
1080,
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1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Name the Apps with a sentiment objectivity of 0.3 and include their number of installs.
|
FALSE;
|
SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,564 | 2,564 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
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369,
370,
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375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
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389,
390,
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392,
393,
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395,
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905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
How much is the average sentiment polarity score of Golf GPS Rangefinder: Golf Pad and what is it's rating in the Google Play Store?
|
average sentiment polarity score = AVG(Sentiment_Polarity); Golf GPS Rangefinder: Golf Pad is the App;
|
SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,565 | 2,565 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
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993,
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996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
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1050,
1051,
1052,
1056,
1058,
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1061,
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1064,
1065,
1066,
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1068,
1071,
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1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
List the top 5 lowest rated puzzle games and count the number of negative sentiments the games received.
|
lowest rating refers to MIN(Rating); puzzle is the genre;
|
SELECT T1.App, COUNT(T1.App) COUNTNUMBER FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment = 'Negative' GROUP BY T1.App ORDER BY T1.Rating LIMIT 5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,566 | 2,566 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 10 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
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796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
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873,
874,
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877,
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879,
880,
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882,
885,
886,
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889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
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908,
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912,
914,
915,
916,
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924,
925,
926,
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928,
929,
930,
931,
932,
934,
935,
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937,
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940,
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953,
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956,
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959,
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963,
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967,
969,
970,
971,
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980,
981,
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987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
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1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
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1034,
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1038,
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1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Indicate the number of installs and include the percentage of positive sentiments of FREEDOME VPN Unlimited anonymous Wifi Security.
|
FREEDOME VPN Unlimited anonymous Wifi Security is the App; percentage = MULTIPLY(DIVIDE((SUM(Sentiment = 'Positive')), (COUNT(*))), 100)
|
SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,568 | 2,568 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Installs TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
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"AS",
"SELECT",
"SUM",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"CAST",
"IS",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
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],
"case_2": [
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"case_3": [
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"case_4": [
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1129,
1131,
1133,
1134,
1135
]
}
|
app_store
|
For the Honkai Impact 3rd App, what is the highest sentiment polarity score and what genre does it belong to?
|
highest sentiment polarity score refers to MAX(Sentiment_Polarity);
|
SELECT MAX(T2.Sentiment_Polarity), T1.Genres FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Honkai Impact 3rd' AND T2.Sentiment_Polarity > 0.5 GROUP BY T1.Genres
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,569 | 2,569 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Reviews INTEGER,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 9 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
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980,
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991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
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1043,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the rating of Dragon Ball Legends and how many users dislike this App?
|
Dragon Ball Legends is the app; users who dislikes the app refers to Sentiment_Polarity<-0.5;
|
SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,570 | 2,570 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 10 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
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20,
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169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
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392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
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422,
423,
424,
425,
426,
427,
428,
429,
430,
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432,
433,
434,
435,
436,
437,
438,
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455,
456,
457,
458,
459,
460,
462,
463,
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465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
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561,
562,
563,
564,
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571,
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573,
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580,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
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749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
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796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Which education App has the worst rating and state the translated review if available.
|
education App refers to Category = 'EDUCATION'; worst rated app refers to Rating = 1;
|
SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'EDUCATION' GROUP BY T1.App, T2.Translated_Review ORDER BY T1.Rating ASC LIMIT 1
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,571 | 2,571 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"ASC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
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91,
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101,
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105,
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111,
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113,
115,
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117,
118,
119,
120,
121,
125,
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127,
128,
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130,
131,
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134,
135,
136,
137,
138,
139,
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141,
142,
143,
144,
145,
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148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
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681,
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691,
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940,
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963,
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967,
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970,
971,
972,
973,
974,
975,
977,
980,
981,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1024,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
List all free sports Apps and their translated review.
|
paid sports Apps refers to type = 'Paid' and Category = 'SPORTS';
|
SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Type = 'Free' AND T1.Category = 'SPORTS'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,572 | 2,572 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Category TEXT,
Reviews INTEGER,
Type TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Translated_Review TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
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91,
93,
94,
95,
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97,
98,
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101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
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188,
189,
190,
191,
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202,
206,
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211,
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214,
217,
218,
219,
220,
221,
223,
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226,
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229,
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233,
234,
235,
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289,
290,
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295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
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315,
316,
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477,
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480,
482,
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495,
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498,
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500,
501,
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507,
509,
510,
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515,
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518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
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592,
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600,
601,
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610,
611,
612,
613,
614,
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616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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725,
726,
727,
728,
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745,
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751,
752,
753,
754,
755,
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783,
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790,
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793,
796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
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809,
810,
812,
813,
814,
818,
819,
822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
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924,
925,
926,
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928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
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944,
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950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
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1091,
1092,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
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1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
Among the role playing game genre, how many are targeted to teens and what is their average sentiment polarity score?
|
targeted to teen refers to Content Rating = 'Teen'; average = AVG(Sentiment_Polarity);
|
SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Teen' AND T1.Genres = 'Role Playing'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,573 | 2,573 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
14
],
"case_2": [
14,
195,
620
],
"case_3": [
14,
195,
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],
"case_4": [
14,
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],
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1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
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1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
app_store
|
What is the average rating of Apps falling under the racing genre and what is the percentage ratio of positive sentiment reviews?
|
average rating = AVG(Rating); percentage = MULTIPLY(DIVIDE((SUM(Sentiment = 'Positive')), (COUNT(*)), 100));
|
SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
CREATE TABLE "playstore"
(
App TEXT,
Category TEXT,
Rating REAL,
Reviews INTEGER,
Size TEXT,
Installs TEXT,
Type TEXT,
Price TEXT,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE "user_reviews"
(
App TEXT
references "playstore" (App),
Translated_Review TEXT,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
na
| 2,574 | 2,574 |
CREATE TABLE `playstore`
(
CREATE TABLE "playstore"
App TEXT,
Rating REAL,
Reviews INTEGER,
"Content Rating" TEXT,
Genres TEXT
)
CREATE TABLE `user_reviews`
(
CREATE TABLE "user_reviews"
App TEXT
references "playstore" App,
Sentiment TEXT,
Sentiment_Polarity TEXT,
Sentiment_Subjectivity TEXT
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"AVG",
"CAST",
"COUNT",
"FROM"
] | 14 |
medium
|
{
"case_1": [
620
],
"case_2": [
195,
620
],
"case_3": [
195,
620,
1008
],
"case_4": [
14,
195,
620,
1008,
1014
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
76,
77,
80,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
137,
138,
140,
142,
143,
144,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
214,
215,
219,
220,
223,
225,
226,
227,
229,
232,
233,
234,
235,
236,
243,
244,
246,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
295,
298,
299,
300,
301,
303,
304,
311,
314,
315,
316,
317,
319,
320,
322,
323,
325,
330,
333,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
407,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
586,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
704,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
784,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
833,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
862,
863,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1001,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1019,
1022,
1023,
1025,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1060,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
regional_sales
|
Which region has the most number of sales team?
|
the most number of sales team refers to MAX(COUNT(Sales Team));
|
SELECT Region FROM `Sales Team` GROUP BY Region ORDER BY COUNT(DISTINCT `Sales Team`) DESC LIMIT 1
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,575 | 2,575 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
|
[
"GROUP BY",
"SELECT",
"ORDER BY",
"LIMIT",
"COUNT",
"FROM",
"DESC"
] | 7 |
simple
|
{
"case_1": [
1077
],
"case_2": [
1077
],
"case_3": [
17,
49,
126,
202,
247,
263,
348,
394,
411,
708,
918,
975,
1077
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
22,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
115,
121,
125,
126,
133,
138,
140,
142,
143,
150,
159,
162,
163,
167,
169,
173,
174,
179,
181,
182,
185,
187,
188,
191,
199,
202,
206,
208,
213,
214,
229,
233,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
329,
334,
336,
337,
341,
342,
344,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
424,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
466,
469,
473,
481,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
630,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
696,
698,
701,
703,
708,
713,
718,
719,
721,
732,
733,
735,
743,
748,
752,
759,
760,
768,
778,
779,
790,
803,
810,
815,
817,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
993,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1070,
1076,
1077,
1083,
1094,
1106,
1124,
1135,
1137,
1139,
1141
]
}
|
regional_sales
|
List all the customers with name containing the word 'Group'.
|
name containing the word 'Group' refers to Customer Names LIKE '%Group%';
|
SELECT T FROM ( SELECT IIF(`Customer Names` LIKE '%Group%', `Customer Names`, NULL) AS T FROM Customers ) WHERE T IS NOT NULL
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,576 | 2,576 |
CREATE TABLE `Customers`
(
"Customer Names" TEXT
)
|
[
"AS",
"SELECT",
"LIKE",
"NULL",
"NOT",
"IS",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
92,
126,
127,
158,
171,
202,
247,
258,
263,
264,
298,
303,
305,
398,
438,
443,
479,
528,
601,
666,
672,
706,
724,
747,
805,
832,
837,
844,
880,
909,
918,
944,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
3,
7,
16,
20,
26,
42,
53,
57,
59,
67,
81,
82,
90,
92,
106,
126,
127,
131,
136,
138,
146,
148,
150,
152,
158,
171,
179,
184,
195,
200,
202,
212,
240,
247,
258,
263,
264,
267,
277,
294,
298,
299,
303,
305,
315,
341,
356,
373,
375,
393,
395,
398,
402,
403,
406,
407,
415,
423,
430,
433,
436,
438,
443,
444,
452,
458,
476,
478,
479,
485,
493,
508,
514,
516,
522,
528,
532,
533,
557,
573,
589,
601,
620,
624,
629,
637,
646,
666,
672,
675,
706,
712,
724,
740,
743,
747,
749,
754,
756,
772,
774,
787,
796,
800,
804,
805,
828,
832,
837,
841,
844,
850,
858,
870,
875,
879,
880,
894,
907,
909,
917,
918,
922,
924,
926,
927,
930,
935,
941,
944,
965,
978,
980,
982,
985,
1000,
1014,
1019,
1020,
1022,
1036,
1042,
1048,
1059,
1062,
1064,
1066,
1069,
1070,
1098,
1101,
1111,
1128,
1129,
1131,
1133,
1134
]
}
|
regional_sales
|
What is the average median income for all City type of stores?
|
AVG(Median Income) where Type = 'City';
|
SELECT AVG(`Median Income`) FROM `Store Locations` WHERE Type = 'City'
|
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,577 | 2,577 |
CREATE TABLE `Store Locations`
(
"Median Income" INTEGER
)
|
[
"SELECT",
"FROM",
"AVG"
] | 3 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
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222,
223,
224,
225,
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255,
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257,
258,
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271,
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280,
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282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
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293,
294,
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299,
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314,
315,
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]
}
|
regional_sales
|
Name the sales team and the region of order number 'SO - 000137'.
|
SELECT T2.`Sales Team`, T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderNumber = 'SO - 000137'
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,578 | 2,578 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
247,
298,
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1066,
1128
],
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832,
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880,
909,
912,
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],
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880,
909,
912,
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944,
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],
"case_5": [
0,
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711,
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720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
regional_sales
|
List all the order numbers along with its product name for each order under the sales team of 'Douglas Tucker'.
|
SELECT DISTINCT T1.ProductID, T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T3.`Sales Team` = 'Douglas Tucker'
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,579 | 2,579 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT
)
CREATE TABLE `Sales Orders`
(
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
regional_sales
|
Among orders in 2020, name the customers who had the greatest discount applied for 'Cocktail Glasses'
|
MAX(Discount Applied) where Product Name = 'Cocktail Glasses'; orders in 2020 refer to the OrderDate between 01-01-2020 and 31-12-2020;
|
SELECT DISTINCT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T3.`Product Name` = 'Cocktail Glasses' AND SUBSTR(T2.OrderDate, -2) = '20' AND T2.`Discount Applied` = ( SELECT T2.`Discount Applied` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T3.`Product Name` = 'Cocktail Glasses' AND T2.OrderDate LIKE '%/%/20' ORDER BY T2.`Discount Applied` DESC LIMIT 1 )
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,580 | 2,580 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
OrderDate TEXT,
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID,
"Discount Applied" REAL
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"LIMIT",
"ORDER BY",
"INNER JOIN",
"ON",
"DESC",
"SUBSTR",
"FROM"
] | 26 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
806
],
"case_3": [
49,
126,
127,
129,
158,
202,
219,
247,
258,
263,
264,
348,
394,
398,
411,
438,
528,
666,
747,
806,
832,
844,
909,
918,
944,
975,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
1,
3,
4,
5,
8,
10,
11,
12,
19,
20,
21,
22,
24,
26,
29,
30,
33,
36,
37,
38,
39,
44,
45,
47,
49,
51,
52,
53,
55,
57,
59,
62,
63,
66,
68,
69,
71,
73,
74,
75,
76,
81,
82,
85,
86,
88,
89,
90,
93,
95,
96,
98,
99,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
136,
138,
141,
142,
143,
144,
146,
150,
152,
154,
158,
159,
160,
162,
163,
164,
167,
169,
170,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
197,
199,
200,
202,
206,
212,
213,
214,
219,
227,
229,
233,
239,
240,
244,
247,
256,
258,
262,
263,
264,
265,
266,
267,
268,
272,
275,
276,
277,
278,
281,
282,
286,
296,
301,
309,
311,
313,
314,
315,
317,
319,
320,
324,
325,
329,
330,
334,
336,
339,
341,
342,
345,
348,
349,
353,
356,
361,
364,
365,
368,
370,
373,
374,
376,
378,
379,
381,
382,
383,
385,
391,
393,
394,
395,
398,
402,
403,
405,
406,
407,
408,
409,
411,
413,
414,
415,
416,
417,
419,
424,
425,
426,
427,
428,
429,
430,
433,
434,
435,
436,
437,
438,
440,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
469,
470,
475,
476,
477,
480,
482,
490,
493,
494,
495,
496,
497,
498,
500,
505,
507,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
536,
537,
538,
539,
541,
542,
544,
548,
552,
557,
558,
559,
560,
561,
562,
563,
566,
567,
578,
579,
581,
582,
584,
586,
588,
589,
590,
592,
595,
605,
608,
610,
611,
612,
613,
615,
621,
624,
625,
626,
627,
632,
633,
634,
637,
638,
641,
643,
645,
648,
651,
654,
657,
659,
663,
665,
666,
668,
669,
671,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
691,
693,
697,
699,
701,
702,
712,
714,
715,
719,
726,
727,
733,
734,
735,
739,
740,
741,
743,
746,
747,
749,
752,
753,
754,
756,
758,
759,
760,
763,
765,
767,
768,
773,
774,
775,
776,
777,
778,
780,
783,
787,
788,
790,
793,
796,
797,
799,
800,
803,
804,
806,
807,
808,
810,
814,
818,
819,
823,
824,
825,
827,
828,
829,
830,
832,
835,
838,
841,
844,
848,
849,
850,
851,
853,
858,
859,
860,
861,
866,
867,
870,
873,
875,
876,
877,
878,
879,
886,
888,
889,
891,
892,
893,
895,
896,
901,
902,
905,
907,
909,
911,
917,
918,
922,
923,
924,
927,
928,
929,
930,
931,
932,
934,
935,
944,
949,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
973,
974,
975,
977,
980,
981,
985,
986,
991,
994,
996,
1000,
1001,
1004,
1005,
1006,
1010,
1013,
1017,
1019,
1022,
1023,
1025,
1027,
1031,
1034,
1037,
1038,
1039,
1042,
1044,
1046,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1061,
1063,
1064,
1065,
1067,
1068,
1071,
1072,
1080,
1084,
1086,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1124,
1128,
1131,
1136,
1137
]
}
|
regional_sales
|
List all the order numbers for In-Store sales and find the city where the store is located.
|
In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;
|
SELECT DISTINCT T1.OrderNumber, T2.`City Name` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.`Sales Channel` = 'In-Store'
|
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,581 | 2,581 |
CREATE TABLE `Store Locations`
(
CREATE TABLE "Store Locations"
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"StoreID
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"In",
"FROM"
] | 8 |
simple
|
{
"case_1": [
139
],
"case_2": [
127,
129,
139,
158,
394,
411,
479,
666,
909,
944,
975
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Name the most expensive ordered? Who, when was it ordered?
|
the most expensive refers to MAX(Unit Cost); who refers to Customer Names; when refers to OrderDate;
|
SELECT T2.OrderNumber, T1.`Customer Names`, T2.OrderDate FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID ORDER BY T2.`Unit Cost` DESC LIMIT 1
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,582 | 2,582 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
OrderDate TEXT,
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID,
"Unit Cost" TEXT
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 12 |
medium
|
{
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806
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806
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666,
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805,
806,
832,
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844,
880,
909,
912,
918,
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975,
1066,
1077,
1128
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]
}
|
regional_sales
|
List all the numbers ordered by 'Rochester Ltd' in 2018.
|
Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';
|
SELECT DISTINCT T FROM ( SELECT CASE WHEN T1.OrderDate LIKE '%/%/18' AND T2.`Customer Names` = 'Rochester Ltd' THEN T1.OrderNumber ELSE NULL END AS T FROM `Sales Orders` T1 INNER JOIN Customers T2 ON T2.CustomerID = T1._CustomerID ) WHERE T IS NOT NULL
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,583 | 2,583 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
OrderDate TEXT,
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 14 |
medium
|
{
"case_1": [
126,
219,
258,
747,
844
],
"case_2": [
126,
153,
219,
258,
747,
844
],
"case_3": [
92,
126,
127,
129,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
398,
438,
443,
479,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
3,
4,
5,
6,
7,
8,
12,
16,
19,
20,
21,
22,
24,
26,
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37,
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687,
690,
693,
697,
699,
702,
706,
710,
712,
714,
715,
723,
724,
726,
727,
734,
735,
739,
740,
741,
743,
744,
746,
747,
749,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
772,
773,
774,
775,
776,
777,
780,
783,
787,
788,
793,
796,
797,
799,
800,
804,
805,
806,
807,
808,
810,
814,
819,
824,
825,
827,
828,
829,
830,
832,
835,
837,
838,
841,
844,
848,
849,
850,
851,
853,
858,
859,
860,
861,
867,
868,
870,
871,
873,
874,
875,
877,
878,
879,
880,
886,
888,
892,
894,
895,
896,
902,
905,
907,
909,
912,
917,
918,
922,
923,
924,
926,
927,
928,
930,
931,
932,
935,
941,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
978,
980,
982,
985,
986,
991,
996,
1000,
1001,
1012,
1014,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1036,
1039,
1042,
1044,
1046,
1048,
1058,
1059,
1061,
1062,
1063,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1129,
1131,
1133,
1134,
1135,
1136
]
}
|
regional_sales
|
Provide all the orders from WARE-NMK1003. Name the product and sales team for each of these order.
|
all the orders from WARE-NMK1003 refer to OrderNumber where WarehouseCode = 'WARE-NMK1003'; product refers to Product Name;
|
SELECT DISTINCT T1.`Product Name`, T3.`Sales Team` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T2.WarehouseCode = 'WARE-NMK1003'
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,584 | 2,584 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT
)
CREATE TABLE `Sales Orders`
(
WarehouseCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
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419,
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425,
426,
427,
428,
429,
430,
431,
432,
433,
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440,
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445,
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447,
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449,
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451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
List the name of all customers who had made orders online.
|
orders online refer to Sales Channel = 'Online';
|
SELECT T FROM ( SELECT CASE WHEN T2.`Sales Channel` = 'Online' THEN T1.`Customer Names` ELSE NULL END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,585 | 2,585 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Sales Orders`
(
"Sales Channel" TEXT,
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID
)
|
[
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 12 |
medium
|
{
"case_1": [
126,
219,
258,
747,
844
],
"case_2": [
49,
126,
153,
219,
258,
747,
844
],
"case_3": [
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
508,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Calculate the average net profit for bakeware product.
|
net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';
|
SELECT AVG(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Bakeware'
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,586 | 2,586 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 |
simple
|
{
"case_1": [
34
],
"case_2": [
34,
202,
438,
724,
832,
837,
880
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
499,
528,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Name the sales team name who had orders with the greatest net profit in 2020.
|
net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the greatest net profit in 2020 refers to MAX(net profit) where OrderDate LIKE '%/20';
|
SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderDate LIKE '%/%/20' GROUP BY T2.`Sales Team` ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 1
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,587 | 2,587 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT
)
CREATE TABLE `Sales Orders`
(
OrderDate TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"SUM",
"LIKE",
"LIMIT",
"ORDER BY",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
247,
912,
918
],
"case_2": [
247,
912,
918,
1128
],
"case_3": [
49,
126,
127,
129,
153,
202,
219,
247,
258,
263,
264,
348,
394,
411,
438,
666,
744,
747,
832,
844,
909,
912,
918,
944,
975,
1077,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
1,
3,
6,
10,
11,
13,
15,
20,
22,
24,
26,
28,
29,
36,
38,
39,
42,
49,
55,
57,
59,
62,
64,
69,
71,
73,
75,
77,
78,
81,
82,
83,
86,
89,
90,
93,
94,
108,
112,
113,
115,
120,
121,
125,
126,
127,
129,
131,
136,
138,
140,
141,
142,
143,
146,
148,
150,
153,
155,
159,
162,
163,
167,
169,
173,
179,
184,
186,
187,
188,
189,
191,
195,
199,
200,
201,
202,
206,
207,
212,
213,
214,
219,
225,
226,
228,
229,
233,
234,
236,
239,
240,
247,
248,
252,
254,
258,
261,
262,
263,
264,
275,
277,
278,
279,
281,
285,
286,
300,
304,
309,
311,
313,
314,
315,
316,
317,
319,
320,
323,
324,
329,
334,
335,
336,
341,
342,
344,
345,
347,
348,
349,
352,
353,
356,
359,
360,
363,
364,
365,
371,
373,
378,
379,
381,
383,
385,
394,
395,
402,
403,
407,
409,
411,
412,
415,
424,
427,
428,
429,
430,
433,
434,
435,
438,
444,
445,
448,
450,
451,
452,
454,
460,
462,
469,
470,
473,
476,
482,
483,
486,
487,
488,
495,
497,
500,
505,
518,
530,
532,
535,
536,
537,
538,
540,
542,
547,
548,
550,
552,
557,
560,
563,
564,
566,
567,
571,
575,
578,
579,
580,
581,
584,
586,
590,
592,
595,
597,
609,
611,
612,
621,
623,
624,
625,
626,
628,
630,
634,
637,
638,
640,
645,
650,
651,
654,
657,
658,
659,
662,
664,
665,
666,
669,
675,
676,
681,
682,
686,
688,
690,
691,
695,
696,
698,
701,
703,
710,
717,
719,
720,
721,
723,
733,
735,
740,
743,
744,
745,
747,
748,
749,
750,
751,
752,
753,
754,
756,
759,
760,
762,
768,
774,
776,
777,
778,
779,
787,
788,
790,
796,
800,
802,
803,
804,
808,
810,
813,
818,
823,
825,
827,
828,
830,
832,
841,
844,
848,
850,
851,
858,
861,
866,
868,
869,
870,
871,
874,
875,
876,
879,
882,
886,
889,
891,
893,
896,
901,
907,
909,
911,
912,
917,
918,
922,
924,
927,
929,
930,
932,
934,
943,
944,
950,
951,
953,
954,
956,
958,
959,
962,
963,
966,
967,
970,
972,
973,
975,
977,
980,
981,
987,
993,
994,
1000,
1004,
1005,
1006,
1010,
1012,
1013,
1017,
1019,
1022,
1023,
1025,
1027,
1030,
1031,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1064,
1065,
1067,
1068,
1076,
1077,
1078,
1082,
1087,
1091,
1092,
1094,
1098,
1100,
1101,
1106,
1111,
1124,
1128,
1135,
1137
]
}
|
regional_sales
|
Sate the order number and calculate the net profit for each order under Joshua Bennett.
|
net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;
|
SELECT T1.OrderNumber , REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'Joshua Bennett'
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,588 | 2,588 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
247,
298,
912,
918,
1066,
1128
],
"case_3": [
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
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221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
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244,
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250,
254,
256,
257,
258,
260,
261,
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263,
264,
265,
266,
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271,
272,
275,
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280,
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282,
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290,
292,
295,
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300,
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303,
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309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
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373,
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375,
376,
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385,
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482,
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487,
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489,
490,
491,
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495,
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550,
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557,
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559,
560,
561,
562,
563,
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565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Among the sales order shipped in July 2018, calculate the percentage of orders for home fragrances.
|
shipped in July 2018 refers to ShipDate between 01-07-2018 and 31-07-2018; DIVIDE(COUNT(OrderNumber where Product Name = 'Home Fragrances' and SUBSTR(OrderDate, 1, 1) = '7'), COUNT(OrderNumber where SUBSTR(ShipDate, -2) = '18')) as percentage;
|
SELECT SUM(CASE WHEN T2.`Product Name` = 'Home Fragrances' THEN 1 ELSE 0 END) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.ShipDate LIKE '7/%/18'
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,589 | 2,589 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
ShipDate TEXT,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"LIKE",
"CASE",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
202,
438,
832,
880
],
"case_2": [
202,
438,
832,
880
],
"case_3": [
126,
127,
129,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
528,
666,
672,
706,
744,
747,
805,
832,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
6,
11,
16,
20,
22,
24,
26,
27,
30,
36,
37,
39,
42,
47,
51,
53,
55,
57,
59,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
86,
88,
90,
91,
93,
94,
96,
98,
104,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
136,
140,
141,
142,
143,
146,
148,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
173,
175,
179,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
240,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
279,
298,
299,
300,
301,
304,
311,
313,
314,
315,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
363,
364,
365,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
398,
401,
402,
403,
406,
407,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
430,
433,
436,
438,
444,
445,
448,
450,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
470,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
509,
514,
515,
516,
517,
518,
519,
520,
526,
528,
532,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
557,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
606,
608,
609,
611,
612,
613,
620,
623,
624,
627,
628,
630,
632,
633,
634,
638,
640,
641,
645,
646,
649,
650,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
675,
676,
681,
682,
686,
687,
688,
690,
694,
695,
696,
701,
705,
706,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
739,
740,
743,
744,
745,
747,
749,
750,
752,
753,
754,
756,
760,
762,
768,
769,
772,
774,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
828,
830,
832,
838,
839,
841,
844,
848,
849,
850,
851,
853,
857,
858,
866,
867,
868,
870,
871,
874,
875,
876,
877,
879,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
979,
980,
981,
985,
986,
993,
996,
998,
1000,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1019,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
regional_sales
|
List down the customer IDs and names that start with alphabet "W".
|
names that start with alphabet "W" refer to Customer Names LIKE 'W%';
|
SELECT DISTINCT CustomerID, `Customer Names` FROM Customers WHERE `Customer Names` LIKE 'W%' ORDER BY `Customer Names` DESC
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,590 | 2,590 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
|
[
"SELECT",
"LIKE",
"ORDER BY",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
17,
49,
126,
127,
202,
247,
258,
263,
264,
348,
394,
411,
438,
666,
708,
747,
832,
844,
909,
918,
944,
975,
1077,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
1,
3,
10,
11,
13,
15,
17,
20,
26,
28,
29,
36,
38,
43,
49,
55,
57,
59,
62,
69,
73,
75,
78,
81,
82,
86,
89,
90,
108,
114,
121,
125,
126,
127,
131,
133,
136,
138,
146,
150,
159,
162,
163,
167,
168,
173,
174,
179,
181,
184,
185,
187,
188,
199,
202,
204,
206,
208,
212,
213,
229,
233,
240,
247,
252,
258,
262,
263,
264,
275,
277,
278,
281,
285,
286,
291,
309,
311,
313,
314,
315,
319,
320,
324,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
377,
378,
379,
381,
385,
394,
395,
397,
400,
402,
403,
404,
407,
409,
411,
415,
421,
428,
429,
430,
433,
434,
435,
438,
444,
445,
451,
452,
454,
460,
462,
469,
476,
482,
495,
497,
505,
525,
530,
532,
534,
536,
538,
542,
546,
548,
552,
555,
557,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
591,
592,
595,
598,
611,
619,
621,
624,
625,
626,
629,
634,
637,
638,
645,
654,
657,
659,
664,
665,
666,
669,
675,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
738,
740,
743,
747,
748,
749,
752,
754,
756,
759,
760,
768,
774,
778,
787,
790,
796,
800,
803,
804,
810,
815,
818,
823,
827,
828,
830,
832,
836,
841,
844,
850,
851,
858,
861,
865,
866,
869,
870,
875,
876,
879,
886,
889,
891,
893,
901,
907,
909,
911,
917,
918,
922,
924,
927,
929,
930,
934,
944,
946,
948,
950,
951,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
979,
980,
981,
983,
987,
989,
994,
1000,
1004,
1005,
1006,
1010,
1013,
1017,
1018,
1019,
1022,
1024,
1025,
1030,
1034,
1037,
1038,
1042,
1047,
1049,
1050,
1051,
1054,
1056,
1057,
1064,
1065,
1067,
1068,
1070,
1076,
1077,
1083,
1094,
1096,
1098,
1101,
1111,
1117,
1124,
1128,
1137,
1139,
1141
]
}
|
regional_sales
|
List down the product IDs and names that include the word "Outdoor".
|
names that include the word "Outdoor" refer to Product Name LIKE '%Outdoor%';
|
SELECT ProductID, T FROM ( SELECT ProductID , CASE WHEN `Product Name` LIKE '%Outdoor%' THEN `Product Name` ELSE NULL END AS T FROM Products ) WHERE T IS NOT NULL ORDER BY T DESC
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,591 | 2,591 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
|
[
"AS",
"SELECT",
"LIKE",
"CASE",
"ORDER BY",
"NULL",
"DESC",
"NOT",
"IS",
"FROM"
] | 13 |
medium
|
{
"case_1": [
263,
305
],
"case_2": [
263,
305
],
"case_3": [
92,
158,
171,
202,
247,
258,
263,
298,
303,
305,
398,
443,
479,
528,
601,
672,
706,
724,
805,
837,
844,
880,
978,
982,
1066
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
20,
42,
53,
59,
92,
138,
148,
150,
158,
171,
179,
195,
202,
247,
258,
263,
298,
303,
305,
341,
356,
373,
395,
398,
402,
403,
436,
443,
444,
476,
479,
508,
516,
522,
528,
532,
601,
637,
672,
706,
712,
724,
805,
827,
837,
844,
880,
894,
927,
941,
978,
982,
1036,
1048,
1066,
1069,
1129
]
}
|
regional_sales
|
Among the sales with 40% discount via in-store channel, how many products were shipped from warehouse code of WARE-NMK1003?
|
40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;
|
SELECT COUNT(DISTINCT T) FROM ( SELECT CASE WHEN `Sales Channel` = 'In-Store' AND WarehouseCode = 'WARE-NMK1003' AND `Discount Applied` = '0.4' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL
|
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,592 | 2,592 |
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
"Discount Applied" REAL
)
|
[
"AS",
"AND",
"SELECT",
"CASE",
"-",
"NULL",
"NOT",
"COUNT",
"In",
"IS",
"FROM"
] | 16 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
92,
601
],
"case_3": [
92,
158,
171,
258,
263,
298,
303,
305,
398,
443,
479,
528,
601,
672,
706,
724,
805,
837,
844,
880,
978,
982,
1066
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
2,
16,
42,
53,
67,
74,
92,
98,
106,
113,
115,
138,
148,
150,
152,
158,
171,
183,
184,
187,
195,
197,
244,
258,
263,
267,
294,
298,
299,
303,
305,
325,
339,
375,
382,
383,
391,
393,
395,
398,
402,
406,
416,
423,
436,
443,
448,
458,
476,
478,
479,
485,
493,
500,
508,
510,
514,
516,
520,
522,
528,
533,
544,
559,
563,
573,
580,
581,
589,
601,
620,
637,
646,
672,
706,
712,
724,
740,
753,
756,
772,
788,
795,
798,
800,
805,
837,
838,
844,
870,
880,
894,
896,
922,
924,
926,
927,
930,
935,
941,
943,
954,
965,
978,
982,
985,
1008,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1078,
1092,
1101,
1123,
1129,
1131,
1133,
1134
]
}
|
regional_sales
|
Mention the most populated city and median income of the store in Florida state.
|
most populated refers to Max(Population);
|
SELECT `City Name`, `Median Income` FROM `Store Locations` WHERE State = 'Florida' ORDER BY Population DESC LIMIT 1
|
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,593 | 2,593 |
CREATE TABLE `Store Locations`
(
"City Name" TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references RegionsStateCode,
State TEXT,
Population INTEGER,
"Median Income" INTEGER
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
17,
49,
202,
247,
263,
348,
394,
411,
708,
918,
975,
1077
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
110,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
229,
233,
239,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
328,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
regional_sales
|
Describe the ID, city and region of the stores which are in Allen country.
|
ID refers to StoreID;
|
SELECT DISTINCT T2.StoreID, T2.`City Name`, T1.Region FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.County = 'Allen County'
|
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,594 | 2,594 |
CREATE TABLE `Regions`
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE `Store Locations`
(
CREATE TABLE "Store Locations"
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references RegionsStateCode,
State TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
171,
672,
706
],
"case_3": [
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
List the ID, city, state and region for the store type which is fewer between borough and CDP.
|
COUNT(StoreID) < COUNT(StoreID where Type = 'Borough') < COUNT(StoreID where Type = 'CDP');
|
SELECT DISTINCT T2.StoreID, T2.`City Name`, T1.State, T2.Type FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.Type = 'Borough' OR T2.Type = 'CDP'
|
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,595 | 2,595 |
CREATE TABLE `Regions`
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE `Store Locations`
(
CREATE TABLE "Store Locations"
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references RegionsStateCode,
State TEXT,
Type TEXT
)
|
[
"OR",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
171,
672,
706
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
499,
528,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Write down the region and name of the sale team ID of 18 and compare their orders between in-store and online.
|
sale team ID of 18 refers to _SalesTeamID = 18; COUNT(OrderNumber where Sales Channel = 'In-Store') > COUNT(OrderNumber where Sales Channel = 'Online');
|
SELECT T2.Region, T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.SalesTeamID = 18 AND T1.`Sales Channel` = 'In-Store' OR T1.`Sales Channel` = 'Online'
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,596 | 2,596 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE `Sales Orders`
(
"Sales Channel" TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"-",
"INNER JOIN",
"ON",
"In",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
247,
298,
912,
918,
1066,
1128
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Calculate the percentage of order via in-store channel of customer "Medline".
|
Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;
|
SELECT CAST(SUM(CASE WHEN T1.`Sales Channel` = 'In-Store' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1._CustomerID) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Medline '
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,597 | 2,597 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Sales Orders`
(
"Sales Channel" TEXT,
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"-",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"In",
"FROM"
] | 14 |
medium
|
{
"case_1": [
219,
747
],
"case_2": [
153,
219,
747
],
"case_3": [
34,
127,
129,
153,
158,
219,
264,
394,
438,
666,
744,
747,
805,
832,
909,
912,
944,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
6,
16,
24,
34,
39,
42,
61,
64,
71,
74,
77,
81,
93,
98,
106,
112,
113,
115,
119,
120,
127,
129,
141,
148,
152,
153,
155,
158,
169,
173,
183,
184,
187,
189,
191,
192,
195,
197,
199,
201,
207,
212,
215,
219,
223,
225,
226,
228,
234,
236,
244,
248,
254,
261,
264,
267,
271,
279,
299,
300,
304,
316,
317,
322,
323,
325,
335,
339,
347,
356,
360,
375,
382,
383,
391,
392,
393,
394,
402,
406,
409,
412,
415,
416,
423,
427,
436,
438,
445,
448,
452,
453,
458,
476,
478,
483,
485,
486,
487,
488,
500,
504,
509,
510,
514,
517,
518,
520,
535,
537,
540,
544,
547,
550,
559,
560,
563,
564,
571,
573,
575,
580,
581,
597,
620,
623,
628,
630,
640,
646,
649,
658,
662,
666,
676,
681,
682,
686,
690,
695,
710,
723,
740,
744,
747,
750,
753,
756,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
802,
805,
808,
810,
813,
827,
832,
838,
841,
848,
868,
870,
871,
874,
894,
896,
898,
909,
912,
922,
924,
926,
930,
943,
944,
954,
958,
959,
985,
993,
998,
1008,
1012,
1023,
1031,
1062,
1064,
1068,
1069,
1072,
1078,
1082,
1087,
1092,
1098,
1100,
1101,
1123,
1128,
1131,
1133,
1134,
1135
]
}
|
regional_sales
|
Describe the customer names and lasting delivery periods for the product of "Bedroom Furniture" by wholesale channel in 2019.
|
delivery period in 2019 means time between placing of an order and the receipt of product and refers to SUBTRACT(DeliveryDate, OrderDate) where SUBSTR(OrderDate, -2 ) = '19'; Sales Channel = 'Wholesale'; Product Name = 'Bedroom Furniture';
|
SELECT T1.`Customer Names`, T2.DeliveryDate FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T2.`Sales Channel` = 'Wholesale' AND T3.`Product Name` = 'Bedroom Furniture' AND T2.OrderDate LIKE '%/%/19'
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,598 | 2,598 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
"Sales Channel" TEXT,
OrderDate TEXT,
DeliveryDate TEXT,
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 12 |
medium
|
{
"case_1": [
806
],
"case_2": [
806
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
305,
394,
398,
411,
438,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1018,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1117,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Describe the customer names and product names which had over 3800 USD in net profit.
|
over 3800 USD in net profit refers to SUBTRACT(Unit Price, Unit Cost) where Net Profit > 3800;
|
SELECT DISTINCT `Customer Names`, `Product Name` FROM ( SELECT T1.`Customer Names`, T3.`Product Name` , REPLACE(T2.`Unit Price`, ',', '') - REPLACE(T2.`Unit Cost`, ',', '') AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T > 3800
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,599 | 2,599 |
CREATE TABLE `Customers`
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references CustomersCustomerID,
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
806
],
"case_3": [
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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24,
26,
27,
29,
30,
33,
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36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
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80,
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93,
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96,
97,
98,
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101,
102,
104,
105,
106,
107,
111,
112,
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115,
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117,
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126,
127,
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129,
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135,
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150,
151,
152,
153,
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191,
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202,
206,
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211,
212,
213,
214,
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268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
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453,
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455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
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480,
482,
483,
484,
485,
486,
487,
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490,
491,
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539,
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542,
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559,
560,
561,
562,
563,
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567,
569,
570,
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578,
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580,
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593,
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597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
List the store located cities with regions in no water area of California state.
|
cities refer to City Name; no water area refers to Water Area = 0;
|
SELECT DISTINCT T2.`City Name` FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'California' AND T2.`Water Area` = '0'
|
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,600 | 2,600 |
CREATE TABLE `Regions`
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE `Store Locations`
(
"City Name" TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references RegionsStateCode,
State TEXT,
"Water Area" INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
171,
672,
706
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
305,
394,
398,
411,
438,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Calculate the order percentage by "Carlos Miller" sales team.
|
DIVIDE(COUNT(OrderNumber where Sales Team = 'Carlos Miller'), COUNT(OrderNumber)) as percentage;
|
SELECT CAST(SUM(CASE WHEN T2.`Sales Team` = 'Carlos Miller' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,601 | 2,601 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
247,
298,
912,
918,
1066
],
"case_2": [
247,
298,
912,
918,
1066,
1128
],
"case_3": [
126,
127,
129,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
528,
666,
672,
706,
744,
747,
805,
832,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
35,
36,
37,
39,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
86,
87,
88,
91,
93,
94,
96,
98,
104,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
140,
141,
142,
143,
146,
148,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
173,
175,
179,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
363,
364,
365,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
444,
445,
448,
450,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
470,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
509,
510,
514,
515,
516,
517,
518,
519,
520,
526,
528,
532,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
606,
608,
609,
611,
612,
613,
620,
623,
627,
628,
630,
632,
633,
634,
638,
640,
641,
645,
646,
649,
650,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
695,
696,
701,
705,
706,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
739,
740,
743,
744,
745,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
830,
832,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
regional_sales
|
Compare the number of orders between "Platters" and "Serveware" products.
|
COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');
|
SELECT SUM(CASE WHEN T2.`Product Name` = 'Platters' THEN 1 ELSE 0 END) AS num1 , SUM(CASE WHEN T2.`Product Name` = 'Serveware' THEN 1 ELSE 0 END) AS num2 FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,602 | 2,602 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"FROM"
] | 14 |
medium
|
{
"case_1": [
202,
438,
724,
832,
837,
880
],
"case_2": [
34,
202,
438,
724,
832,
837,
880
],
"case_3": [
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
264,
298,
394,
398,
411,
438,
479,
499,
528,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
54,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
122,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
205,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
508,
509,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
709,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
939,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
979,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1093,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1110,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
Calculate the total net profit of the store located in highest median income city.
|
net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);
|
SELECT SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY T2.`Median Income` DESC LIMIT 1
|
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,603 | 2,603 |
CREATE TABLE `Store Locations`
(
CREATE TABLE "Store Locations"
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"Median Income" INTEGER
)
CREATE TABLE `Sales Orders`
(
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"StoreID,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
[
"AS",
"SELECT",
"SUM",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
139
],
"case_2": [
127,
129,
139,
158,
394,
411,
479,
666,
909,
944,
975
],
"case_3": [
17,
34,
49,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
348,
394,
398,
411,
438,
479,
499,
528,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
1066,
1077,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
regional_sales
|
Among the sales team in South region, write down the numbers of orders made by the sales team ID of one digit.
|
sales team ID of one digit refers to _SalesTeamID BETWEEN 1 AND 9; numbers of orders refer to COUNT(OrderNumber);
|
SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'South' AND T2.SalesTeamID BETWEEN 1 AND 9 GROUP BY T2.SalesTeamID HAVING COUNT(T1.OrderNumber)
|
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,604 | 2,604 |
CREATE TABLE `Sales Team`
(
CREATE TABLE "Sales Team"
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"SalesTeamID
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"HAVING",
"INNER JOIN",
"ON",
"COUNT",
"BETWEEN",
"FROM"
] | 13 |
medium
|
{
"case_1": [
247,
912,
918
],
"case_2": [
247,
912,
918,
1128
],
"case_3": [
126,
127,
129,
158,
202,
219,
247,
258,
394,
398,
411,
438,
528,
666,
747,
806,
832,
844,
909,
912,
918,
944,
975,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
33,
36,
37,
39,
44,
45,
47,
51,
52,
53,
55,
57,
62,
63,
66,
68,
69,
71,
73,
74,
75,
76,
77,
82,
85,
86,
88,
90,
91,
93,
95,
96,
98,
99,
106,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
138,
140,
141,
142,
143,
144,
146,
148,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
219,
225,
226,
227,
229,
233,
234,
239,
240,
243,
244,
247,
254,
256,
258,
261,
262,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
282,
296,
299,
301,
311,
313,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
349,
354,
356,
358,
360,
361,
364,
365,
368,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
482,
484,
487,
488,
490,
493,
494,
496,
497,
498,
500,
505,
507,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
541,
544,
547,
548,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
579,
580,
581,
582,
584,
586,
588,
589,
595,
596,
597,
605,
606,
608,
610,
611,
612,
613,
615,
620,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
648,
649,
651,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
693,
694,
696,
697,
699,
701,
702,
705,
712,
714,
715,
718,
720,
721,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
746,
747,
749,
750,
751,
752,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
812,
813,
814,
817,
818,
819,
823,
824,
825,
827,
829,
830,
832,
835,
838,
839,
841,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
870,
873,
874,
876,
877,
878,
879,
882,
886,
888,
889,
892,
893,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
928,
930,
931,
932,
934,
935,
943,
944,
949,
950,
951,
953,
954,
956,
958,
961,
962,
963,
969,
973,
974,
975,
977,
981,
985,
986,
991,
993,
996,
1000,
1001,
1005,
1006,
1010,
1013,
1015,
1017,
1019,
1022,
1023,
1025,
1027,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1058,
1061,
1062,
1063,
1064,
1067,
1068,
1071,
1072,
1078,
1080,
1082,
1084,
1086,
1087,
1091,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1115,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
regional_sales
|
How many orders have order date in 5/31/2018?
|
orders refer to OrderNumber;
|
SELECT SUM(IIF(OrderDate = '5/31/18', 1, 0)) FROM `Sales Orders`
|
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,605 | 2,605 |
CREATE TABLE `Sales Orders`
(
OrderDate TEXT
)
|
[
"/",
"SUM",
"SELECT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
127,
129,
153,
219,
264,
438,
528,
666,
744,
747,
806,
832,
909,
912,
944,
1066
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
6,
24,
35,
39,
42,
54,
61,
64,
71,
77,
81,
83,
87,
93,
94,
97,
104,
112,
113,
120,
122,
127,
129,
141,
148,
153,
155,
169,
173,
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186,
189,
191,
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195,
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201,
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212,
213,
215,
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228,
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393,
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448,
450,
452,
453,
470,
476,
483,
486,
487,
488,
500,
504,
506,
510,
514,
517,
518,
527,
528,
535,
537,
540,
547,
550,
551,
563,
564,
571,
575,
579,
580,
581,
597,
609,
612,
623,
628,
630,
636,
637,
638,
640,
649,
650,
658,
662,
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682,
686,
690,
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701,
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710,
717,
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744,
745,
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762,
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823,
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894,
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1069,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1135
]
}
|
regional_sales
|
List out the name of orders which have delivery date of 6/13/2018.
|
SELECT DISTINCT T FROM ( SELECT IIF(DeliveryDate = '6/13/18', OrderNumber, NULL) AS T FROM `Sales Orders` ) WHERE T IS NOT NULL
|
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,606 | 2,606 |
CREATE TABLE `Sales Orders`
(
CREATE TABLE "Sales Orders"
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
DeliveryDate TEXT
)
|
[
"AS",
"SELECT",
"/",
"NULL",
"NOT",
"IS",
"FROM"
] | 11 |
medium
|
{
"case_1": [
601
],
"case_2": [
92,
601
],
"case_3": [
92,
126,
129,
158,
171,
258,
263,
298,
303,
305,
398,
443,
479,
528,
601,
672,
706,
724,
805,
806,
837,
844,
880,
978,
982,
1066
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
7,
16,
42,
53,
67,
92,
97,
106,
126,
129,
138,
148,
150,
152,
158,
171,
195,
200,
227,
258,
263,
267,
294,
298,
299,
303,
305,
341,
375,
393,
395,
398,
402,
406,
423,
436,
443,
458,
476,
478,
479,
485,
487,
493,
508,
514,
516,
522,
528,
533,
573,
589,
601,
620,
636,
637,
646,
649,
672,
706,
712,
724,
754,
772,
805,
806,
813,
837,
844,
880,
894,
926,
927,
935,
941,
965,
978,
982,
985,
1014,
1020,
1036,
1042,
1048,
1059,
1062,
1066,
1069,
1129,
1131,
1133,
1134
]
}
|
|
regional_sales
|
How many orders placed were with more than 5 product quantities?
|
orders refer to OrderNumber; more than 5 product quantities refer to Order Quantity > 5;
|
SELECT SUM(IIF(`Order Quantity` > 5, 1, 0)) FROM `Sales Orders`
|
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,607 | 2,607 |
CREATE TABLE `Sales Orders`
(
"Order Quantity" INTEGER
)
|
[
"SUM",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
17,
92,
348,
708
],
"case_2": [
17,
92,
348,
601,
708
],
"case_3": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
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398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
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49,
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52,
53,
54,
55,
56,
57,
58,
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60,
61,
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64,
65,
66,
67,
68,
69,
70,
71,
72,
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96,
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100,
101,
102,
103,
104,
105,
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174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
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218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
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234,
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236,
237,
238,
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240,
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242,
243,
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256,
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259,
260,
261,
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263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
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322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
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339,
340,
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342,
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348,
349,
350,
351,
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353,
354,
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359,
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361,
362,
363,
364,
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366,
367,
368,
369,
370,
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373,
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375,
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377,
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379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
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405,
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407,
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410,
411,
412,
413,
414,
415,
416,
417,
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475,
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480,
481,
482,
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485,
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489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
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532,
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535,
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540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
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558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
regional_sales
|
State the full name of state code "GA".
|
SELECT T FROM ( SELECT IIF(StateCode = 'GA', State, NULL) AS T FROM Regions ) WHERE T IS NOT NULL
|
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,608 | 2,608 |
CREATE TABLE `Regions`
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
|
[
"AS",
"SELECT",
"NULL",
"NOT",
"IS",
"FROM"
] | 9 |
simple
|
{
"case_1": [
982
],
"case_2": [
303,
443,
982
],
"case_3": [
92,
126,
158,
171,
258,
263,
298,
303,
305,
398,
443,
479,
528,
601,
672,
706,
724,
805,
837,
844,
880,
978,
982,
1066
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
7,
16,
42,
53,
67,
92,
106,
126,
138,
148,
150,
152,
158,
171,
195,
200,
258,
263,
267,
294,
298,
299,
303,
305,
375,
393,
395,
398,
402,
406,
423,
436,
443,
458,
476,
478,
479,
485,
493,
508,
514,
516,
522,
528,
533,
573,
589,
601,
620,
637,
646,
672,
706,
712,
724,
772,
805,
837,
844,
880,
894,
926,
927,
935,
941,
965,
978,
982,
985,
1014,
1020,
1036,
1048,
1059,
1062,
1066,
1069,
1129,
1131,
1133,
1134
]
}
|
|
regional_sales
|
How many states located in the Midwest region?
|
SELECT COUNT(DISTINCT T) FROM ( SELECT CASE WHEN Region = 'Midwest' THEN StateCode ELSE NULL END AS T FROM Regions ) WHERE T IS NOT NULL
|
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,609 | 2,609 |
CREATE TABLE `Regions`
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
|
[
"AS",
"SELECT",
"CASE",
"NULL",
"NOT",
"COUNT",
"IS",
"FROM"
] | 11 |
medium
|
{
"case_1": [
303,
443
],
"case_2": [
303,
443,
982
],
"case_3": [
92,
126,
158,
171,
258,
263,
298,
303,
305,
398,
443,
479,
528,
601,
672,
706,
724,
805,
837,
844,
880,
909,
912,
978,
982,
1066
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
6,
16,
42,
53,
61,
67,
77,
92,
106,
113,
126,
138,
148,
150,
152,
158,
171,
191,
192,
195,
212,
225,
226,
234,
258,
261,
263,
267,
271,
294,
298,
299,
303,
305,
335,
360,
375,
383,
393,
395,
398,
402,
406,
412,
423,
436,
443,
453,
458,
476,
478,
479,
485,
493,
500,
504,
508,
514,
516,
517,
522,
528,
533,
535,
547,
563,
564,
573,
580,
581,
589,
601,
620,
637,
646,
662,
672,
706,
712,
724,
740,
753,
762,
772,
787,
795,
796,
798,
800,
805,
827,
837,
841,
844,
874,
880,
894,
896,
909,
912,
922,
924,
926,
927,
935,
941,
943,
965,
978,
982,
985,
1008,
1014,
1020,
1036,
1048,
1059,
1062,
1064,
1066,
1069,
1078,
1082,
1087,
1129,
1131,
1133,
1134,
1135
]
}
|
|
regional_sales
|
List out the product name of order which has unit cost of 781.22.
|
SELECT T FROM ( SELECT DISTINCT IIF(T1.`Unit Cost` = 781.22, T2.`Product Name`, NULL) AS T FROM `Sales Orders` T1 INNER JOIN Products T2 ON T2.ProductID = T1._ProductID ) WHERE T IS NOT NULL
|
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
CREATE TABLE Customers
(
CustomerID INTEGER
constraint Customers_pk
primary key,
"Customer Names" TEXT
)
CREATE TABLE Products
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE Regions
(
StateCode TEXT
constraint Regions_pk
primary key,
State TEXT,
Region TEXT
)
CREATE TABLE "Sales Team"
(
SalesTeamID INTEGER
constraint "Sales Team_pk"
primary key,
"Sales Team" TEXT,
Region TEXT
)
CREATE TABLE "Store Locations"
(
StoreID INTEGER
constraint "Store Locations_pk"
primary key,
"City Name" TEXT,
County TEXT,
StateCode TEXT
constraint "Store Locations_Regions_StateCode_fk"
references Regions(StateCode),
State TEXT,
Type TEXT,
Latitude REAL,
Longitude REAL,
AreaCode INTEGER,
Population INTEGER,
"Household Income" INTEGER,
"Median Income" INTEGER,
"Land Area" INTEGER,
"Water Area" INTEGER,
"Time Zone" TEXT
)
CREATE TABLE "Sales Orders"
(
OrderNumber TEXT
constraint "Sales Orders_pk"
primary key,
"Sales Channel" TEXT,
WarehouseCode TEXT,
ProcuredDate TEXT,
OrderDate TEXT,
ShipDate TEXT,
DeliveryDate TEXT,
CurrencyCode TEXT,
_SalesTeamID INTEGER
constraint "Sales Orders_Sales Team_SalesTeamID_fk"
references "Sales Team"(SalesTeamID),
_CustomerID INTEGER
constraint "Sales Orders_Customers_CustomerID_fk"
references Customers(CustomerID),
_StoreID INTEGER
constraint "Sales Orders_Store Locations_StoreID_fk"
references "Store Locations"(StoreID),
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references Products(ProductID),
"Order Quantity" INTEGER,
"Discount Applied" REAL,
"Unit Price" TEXT,
"Unit Cost" TEXT
)
|
na
| 2,610 | 2,610 |
CREATE TABLE `Products`
(
ProductID INTEGER
constraint Products_pk
primary key,
"Product Name" TEXT
)
CREATE TABLE `Sales Orders`
(
_ProductID INTEGER
constraint "Sales Orders_Products_ProductID_fk"
references ProductsProductID,
"Unit Cost" TEXT
)
|
[
"AS",
"SELECT",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 11 |
medium
|
{
"case_1": [
202,
438,
724,
832,
837,
880
],
"case_2": [
34,
202,
438,
724,
832,
837,
880
],
"case_3": [
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1128
],
"case_4": [
17,
34,
49,
92,
126,
127,
129,
139,
153,
158,
171,
202,
219,
247,
258,
263,
264,
298,
303,
305,
348,
394,
398,
411,
438,
443,
479,
499,
528,
601,
666,
672,
706,
708,
724,
744,
747,
805,
806,
832,
837,
844,
880,
909,
912,
918,
944,
975,
978,
982,
1066,
1077,
1128
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
508,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
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