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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: # \| matters \| sections of the constitution allowing their institution \| eligible petitioners \| type row 1 : 2 \| a petition for a decision as to whether \| section 68 \| any person \| constitutional defence row 2 : 3 \| a petition for a decision as to whether \| section 91 \| at least one tenth of the existing representatives \| membership row 3 : 4 \| a petition for a decision as to whether \| section 106 (7) \| the representative in question \| political party row 4 : 5 \| a petition for a decision concerning the constitutional \| section 141 \| the national assembly \| constitutionality of draft law row 5 : 6 \| a petition for a decision as to whether \| sections 140 and 149 \| the president of the house of representatives or s \| constitutionality of draft law row 6 : 9 \| a petition for a decision as to whether \| section 168, paragraph 7 \| at least one tenth of the existing representatives \| others row 7 : 11 \| a petition for a decision as to whether \| section 185 \| at least one fifth of the existing representatives or senator \| constitutionality of law row 8 : 12 \| a petition for a decision as to whether \| section 190 \| at least one tenth of the existing representatives \| authority row 9 : 13 \| a petition for a decision as to whether \| section 211 \| a party to such case \| constitutionality of law row 10 : 14 \| a petition for a decision as to the \| section 212 \| any person whose constitutionally recognised right or freedom \| constitutionality of law row 11 : 15 \| a petition for a decision as to \| section 214 \| the president of the national assembly the prime minister the \| authority row 12 : 16 \| a petition for a decision as to whether \| section 233 \| at least one tenth of the existing representatives \| membership row 13 : 18 \| a petition for a decision as to the \| section 245 (1) \| ombudsmen \| constitutionality of law row 14 : 19 \| a petition for a decision as to the \| section 257, paragraph 1 (2) \| the national human rights commission \| constitutionality of law ] Execute this SQL based on the above table: select count ( * )	14
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 8th \| 200 m \| 23.89 row 2 : 1996 \| olympic games \| atlanta, united states \| 11th (sf) \| 4x100 m relay \| 44.21 row 3 : 1997 \| european junior championships \| ljubljana, s \| 1st \| 100 m \| 11.39 row 4 : 1997 \| european junior championships \| ljubljana, s \| 3rd \| 200 m \| 23.43 row 5 : 1997 \| world championships \| athens, greece \| 36th (h) \| 100 m \| 11.59 row 6 : 1998 \| world junior championships \| annecy, france \| 8th (sf) \| 100 m \| 11.75 row 7 : 1998 \| european championships \| budapest, hungary \| 27th (h) \| 200 m \| 24.1 row 8 : 1998 \| european championships \| budapest, hungary \| 6th \| 4x100 m relay \| 44.1 row 9 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 100 m \| 11.47 row 10 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 200 m \| 23.26 row 11 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 4x100 m relay \| 44.4 row 12 : 1999 \| world championships \| seville, spain \| 24th (qf) \| 100 m \| 11.45 row 13 : 1999 \| world championships \| seville, spain \| 10th (h) \| 4x100 m relay \| 43.86 row 14 : 2000 \| european indoor championships \| ghent, belgium \| 21st (h) \| 60 m \| 7.4 row 15 : 2000 \| european indoor championships \| ghent, belgium \| 12th (sf) \| 200 m \| 23.83 row 16 : 2000 \| olympic games \| sydney, australia \| 12th (sf) \| 4x100 m relay \| 43.5 row 17 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 100 m \| 11.61 row 18 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 4x100 m relay \| 44.76 row 19 : 2001 \| world championships \| edmonton, canada \| 12th (sf) \| 100 m \| 11.46 row 20 : 2002 \| european championships \| munich, germany \| 20th (h) \| 100 m \| 11.58 row 21 : 2003 \| world championships \| paris, france \| 23rd (qf) \| 200 m \| 23.42 row 22 : 2004 \| world indoor championships \| budapest, hungary \| 13th (sf) \| 60 m \| 7.3 row 23 : 2004 \| world indoor championships \| budapest, hungary \| 10th (h) \| 200 m \| 23.79 row 24 : 2006 \| european championships \| gothenburg, sweden \| 11th (h) \| 4x100 m relay \| 44.32 row 25 : 2007 \| european indoor championships \| birmingham, united kingdom \| 5th (sf) \| 60 m \| 7.24 row 26 : 2007 \| universiade \| bangkok, thailand \| 1st \| 100 m \| 11.46 row 27 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x100 m relay \| 43.48 row 28 : 2007 \| world championships \| osaka, japan \| 32nd (h) \| 100 m \| 11.52 row 29 : 2007 \| world championships \| osaka, japan \| 10th (h) \| 4x100 m relay \| 43.41 ] Execute this SQL based on the above table: select position order by id desc limit 1	10th (h)
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 6, 1981 \| new orleans saints \| w 27-0 \| 57,406 row 2 : 2 \| september 13, 1981 \| at green bay packers \| w 31-17 \| 55,382 row 3 : 3 \| september 20, 1981 \| san francisco 49ers \| w 34-17 \| 56,653 row 4 : 4 \| september 27, 1981 \| at cleveland browns \| l 28-17 \| 78,283 row 5 : 5 \| october 5, 1981 \| at philadelphia eagle \| l 16-13 \| 71,488 row 6 : 6 \| october 11, 1981 \| los angeles rams \| l 37-35 \| 57,841 row 7 : 7 \| october 18, 1981 \| st. louis cardinals \| w 41-20 \| 51,428 row 8 : 8 \| october 25, 1981 \| new york giants \| l 27-24 \| 48,410 row 9 : 9 \| november 1, 1981 \| at new orleans saints \| w 41-10 \| 63,637 row 10 : 10 \| november 8, 1981 \| at san francisco 49ers \| l 17-14 \| 59,127 row 11 : 11 \| november 15, 1981 \| pittsburgh steelers \| l 34-20 \| 57,485 row 12 : 12 \| november 23, 1981 \| minnesota vikings \| w 31-30 \| 54,086 row 13 : 13 \| november 29, 1981 \| at houston oilers \| w 31-27 \| 40,201 row 14 : 14 \| december 6, 1981 \| at tampa bay buccaneers \| l 24-23 \| 69,221 row 15 : 15 \| december 14, 1981 \| at los angeles rams \| l 21-16 \| 57,054 row 16 : 16 \| december 20, 1981 \| cincinnati bengals \| l 30-28 \| 35,972 ] Execute this SQL based on the above table: select count ( date ) where result != 'w 31-27' and attendance = ( select attendance where result = 'w 31-27' )	0
[ header: episode number \| original airdate \| title \| disc \| description row 1 : 48 \| 30 january 1983 \| "the frozen turkey man" \| 1 \| for a joke, compo and cle row 2 : 49 \| 6 february 1983 \| "the white man's grave" \| 1 \| the trio have clegg stand in for wall row 3 : 50 \| 13 february 1983 \| "the waist land" \| 1 \| foggy attempts to earn some ready cash by row 4 : 51 \| 20 february 1983 \| "cheering up ludovic \| 1 \| clegg is roped in to drive row 5 : 52 \| 27 february 1983 \| "the three astaires" \| 1 \| the trio help out at a church concert, row 6 : 53 \| 6 march 1983 \| "the arts of concealment" \| 1 \| foggy lands himself in trouble with a ] Execute this SQL based on the above table: select count ( * ) where original airdate = '13 february 1983'	1
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select count ( co-driver ) where co-driver = 'lorenzo granai'	1
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select ( select 30 mar where camp = 'sirukandal' ) > ( select 30 mar where camp = 'mannar district general hospital' )	1
[ header: province \| map # \| iso 3166-2:af \| centers \| population \| area (km2) \| language \| notes \| u.n. region row 1 : badakhshan \| 30 \| af-bds \| fayzabad \| 823000 \| 44059 \| dari persian \| composed of 29 districts \| north east afghanistan row 2 : badghis \| 4 \| af-bdg \| qala i naw \| 429500 \| 20591 \| dari persian, pashto \| 7 districts \| west afghanistan row 3 : baghlan \| 19 \| af-bgl \| puli khumri \| 779000 \| 21118 \| dari persian uzbek, \| 16 districts \| north east afghanistan row 4 : daykundi \| 10 \| af-day \| nili \| 399600 \| 8088 \| dari persian \| 8 districts formed from oruzgan province in \| south west afghanistan row 5 : farah \| 2 \| af-fra \| farah \| 438000 \| 48471 \| pashto, dari persian, bal \| 11 districts \| west afghanistan row 6 : faryab \| 5 \| af-fyb \| maymana \| 858600 \| 20293 \| dari persian, turkmen and \| 14 districts \| west afghanistan row 7 : ghor \| 6 \| af-gho \| chaghcharan \| 485000 \| 36479 \| dari persian \| 10 districts \| east central afghanistan row 8 : helmand \| 7 \| af-hel \| lashkar gah \| 745000 \| 58584 \| pashto,baloch \| 13 districts \| south west afghanistan row 9 : kandahar \| 12 \| af-kan \| kandahar \| 886000 \| 54022 \| pashto, dari persian,bal \| 16 districts \| south west afghanistan row 10 : khost \| 26 \| af-kho \| khost \| 300000 \| 4152 \| pashto \| 13 districts \| south afghanistan row 11 : kunar \| 34 \| af-knr \| asadabad \| 321000 \| 4942 \| pashto \| 15 districts \| east afghanistan row 12 : nimruz \| 3 \| af-nim \| zaranj \| 149000 \| 41005 \| balochi, dari persian and bal \| 5 districts \| south west afghanistan row 13 : paktia \| 24 \| af-pia \| gardez \| 415000 \| 6432 \| pashto, dari persian \| 11 districts \| south afghanistan row 14 : parwan \| 20 \| af-par \| charikar \| 726000 \| 5974 \| dari persian \| composed of 9 districts \| central afghanistan row 15 : sar-e pol \| 9 \| af-sar \| sar-e pol \| 468000 \| 15999 \| dari persian and uzbek \| 6 districts \| north afghanistan ] Execute this SQL based on the above table: select count ( iso 3166-2:af ) where population >= 891	15
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select count ( * ) where test no < 1713 and test no = 'lost'	0
[ header: \| wine \| rank \| beer \| rank \| spirits \| rank \| total \| rank↓ row 1 : yukon \| 18.3 \| 1 \| 90.6 \| 1 \| 13.8 \| 1 \| 12.7 \| 1 row 2 : northwest territories \| 8.1 \| 7 \| 55.2 \| 5 \| 10.8 \| 2 \| 9.2 \| 2 row 3 : alberta \| 13.9 \| 4 \| 89.8 \| 4 \| 7.6 \| 9 \| 8.6 \| 3 row 4 : newfoundland & labrador \| 6.5 \| 11 \| 93.3 \| 3 \| 7.3 \| 10 \| 8 \| 4 row 5 : british columbia \| 14.5 \| 3 \| 76.6 \| 12 \| 9 \| 7 \| 7.8 \| 5 row 6 : ontario \| 11.8 \| 5 \| 84.3 \| 6 \| 8.8 \| 8 \| 7.8 \| 6 row 7 : quebec \| 17.4 \| 2 \| 93.9 \| 2 \| 4.1 \| 12 \| 7.8 \| 7 row 8 : prince edward island \| 7.4 \| 10 \| 78.9 \| 9 \| 9.7 \| 3 \| 7.5 \| 8 row 9 : nova scotia \| 8 \| 8 \| 79.5 \| 8 \| 9.1 \| 5 \| 7.5 \| 9 row 10 : manitoba \| 8 \| 9 \| 76.8 \| 10 \| 9.4 \| 4 \| 7.4 \| 10 row 11 : saskatchewan \| 5 \| 12 \| 76.8 \| 11 \| 9.1 \| 6 \| 7 \| 11 row 12 : new brunswick \| 8.4 \| 6 \| 79.8 \| 7 \| 6.8 \| 11 \| 6.7 \| 12 row 13 : nunavut \| None \| None \| None \| None \| None \| None \| None \| None row 14 : canada \| 13.1 \| None \| 85.6 \| None \| 7.5 \| None \| 7.8 \| None ] Execute this SQL based on the above table: select order by rank↓ desc limit 1	new brunswick
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : 22 \| s 5.0 \| 8 \| david brown \| reg parnell roy salvadori \| aston martin db3 \| aston martin 2.9l super \| 222 row 2 : 26 \| s 750 \| 58 \| automobiles panhard et levass \| pierre chancel robert chancel \| monopole x88 \| panhard 0.6l flat-2 \| 157 row 3 : 27 \| s 1.5 \| 41 \| porsche kg \| hans herrmann helmut \| porsche 550/4 rs 1500 spy \| porsche 1.5l flat-4 \| 148 row 4 : 31 \| s 5.0 \| 6 \| briggs cunningham \| phil walters john fitch \| ferrari 375mm \| ferrari 4.5l v12 \| 120 row 5 : 36 \| s 5.0 \| 12 \| jaguar cars ltd \| stirling moss peter walker \| jaguar d-type \| jaguar 3.4l i6 \| 92 row 6 : 37 \| s 5.0 \| 3 \| scuderia ferrari \| umberto maglioli paolo \| ferrari 375 plus \| ferrari 5.0l v12 \| 88 row 7 : 41 \| s 3.0 \| 22 \| david brown \| carroll shelby paul frere \| aston martin db3 \| aston martin 2.9l \| 74 row 8 : 42 \| s 750 \| 50 \| guy michel et andre \| guy michel andre guillard \| renault 4cv \| renault 0.7l i4 \| 73 row 9 : 43 \| s 3.0 \| 21 \| david brown \| ian stewart graham whitehead \| aston martin db3 \| aston martin 2.9l \| 64 row 10 : 46 \| s 2.0 \| 37 \| automobiles frazer nash lt \| rodney f. peacock ger \| frazer nash le mans \| bristol 2.0l i6 \| 49 row 11 : 47 \| s 5.0 \| 10 \| pierre levegh \| pierre levegh lino \| talbot-lago t26 \| talbot-lago 4.4l \| 33 row 12 : 50 \| s 750 \| 66 \| jacques faucher \| jacques faucher jean \| renault 4cv \| renault 0.7l i4 \| 20 row 13 : 51 \| s 750 \| 51 \| automobiles deutsch et bonnet \| pierre-louis dreyf \| db hbr \| renault 0.7l i4 \| 8 row 14 : 52 \| s 750 \| 53 \| nardi et co \| alexandre gacon dr. \| nardi 750lm \| crosley 0.7l i4 \| 7 row 15 : 53 \| s 5.0 \| 18 \| luigi chinetti \| porfirio rubirosa innocente \| ferrari 375mm berlinetta \| ferrari 4.5l v12 \| 5 row 16 : 54 \| s 750 \| 60 \| automobiles panhard et levass \| lucien pailler jacques dew \| panhard x88 \| panhard 0.6l flat-2 \| 5 row 17 : 55 \| s 1.5 \| 40 \| porsche kg \| richard von frankenberg helm \| porsche 550/4 rs 1500 spy \| porsche 1.5l flat-4 \| 4 ] Execute this SQL based on the above table: select count ( class ) where pos > 544	0
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select role where role = 'simona'	simona
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| palestra italia-sp \| 18 \| 9 \| 9 \| 0 \| 0 \| 33 \| 8 \| 25 row 2 : 2 \| auto \| 14 \| 9 \| 7 \| 0 \| 2 \| 25 \| 14 \| 11 row 3 : 3 \| corinthians \| 13 \| 9 \| 6 \| 1 \| 2 \| 26 \| 9 \| 17 row 4 : 4 \| santos \| 11 \| 9 \| 5 \| 1 \| 3 \| 24 \| 17 \| 7 row 5 : 5 \| silex \| 8 \| 9 \| 3 \| 2 \| 4 \| 17 \| 26 \| -9 row 6 : 6 \| sirio \| 7 \| 9 \| 3 \| 1 \| 5 \| 21 \| 20 \| 1 row 7 : 7 \| ypiranga-sp \| 7 \| 9 \| 3 \| 1 \| 5 \| 16 \| 22 \| -6 row 8 : 8 \| portuguesa \| 7 \| 9 \| 2 \| 3 \| 4 \| 17 \| 26 \| -9 row 9 : 9 \| aa sao bento \| 4 \| 9 \| 2 \| 0 \| 7 \| 9 \| 31 \| -22 row 10 : 10 \| sc internacional de sa \| 1 \| 9 \| 0 \| 1 \| 8 \| 9 \| 24 \| -15 ] Execute this SQL based on the above table: select team where team = 'aa sao bento'	aa sao bento
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 1 \| 2:30 pm \| nevada \| #19 \| memorial stadium • lincoln, \| abc \| w 52-10 \| 84078 row 2 : september 8 \| 11:00 am \| at wake forest \| #17 \| bb&t field • winston- \| espn \| w 20-17 \| 32483 row 3 : september 15 \| 7:00 pm \| #1 usc \| #14 \| memorial stadium • lincoln, \| abc \| l 31-49 \| 84959 row 4 : september 22 \| 11:30 am \| ball state \| #22 \| memorial stadium • lincoln, \| fsn ppv \| w 41-40 \| 84294 row 5 : september 29 \| 1:05 pm \| iowa state \| #22 \| memorial stadium • lincoln, \| None \| w 35-17 \| 84703 row 6 : october 6 \| 8:15 pm \| at #17 missouri \| #23 \| faurot field • columbia \| espn \| l 6-41 \| 70049 row 7 : october 13 \| 11:30 am \| oklahoma state \| None \| memorial stadium • lincoln, \| ppv \| l 14-45 \| 84334 row 8 : october 20 \| 1:05 pm \| texas a&m \| None \| memorial stadium • lincoln, \| None \| l 14-36 \| 84473 row 9 : october 27 \| 2:30 pm \| at #16 texas \| None \| darrell k royal-texas memorial \| abc \| l 25-28 \| 85968 row 10 : november 3 \| 11:30 am \| at #8 kansas \| None \| memorial stadium • lawrence, ks \| fsn \| l 39-76 \| 51910 row 11 : november 10 \| 11:30 am \| kansas state \| None \| memorial stadium • lincoln, \| versus \| w 73-31 \| 84665 row 12 : november 23 \| 11:00 am \| at colorado \| None \| folsom field • boulder, co (rival \| abc \| l 51-65 \| 51403 ] Execute this SQL based on the above table: select result where time = 1	w 35-17, l 14-36
[ header: name \| town \| deanery \| vicariate \| founded \| original ethnic community row 1 : st. ann \| hamden \| hamden-north haven \| new haven \| 1919 \| italian row 2 : st. anthony \| prospect \| naugatuck-cheshire \| waterbury \| 1943 \| none row 3 : ascension \| hamden \| hamden-north haven \| new haven \| 1964 \| none row 4 : st. bridget \| manchester \| manchester \| hartford \| 1870 \| none row 5 : st. catherine of sien \| west simsbury (simsbury \| farmington valley \| hartford \| 1971 \| none row 6 : st. christopher \| east hartford \| manchester \| hartford \| 1965 \| none row 7 : church of the epiphany \| cheshire \| naugatuck-cheshire \| waterbury \| 1967 \| none row 8 : st. francis xa \| new milford \| suburban waterbury \| waterbury \| 1871 \| none row 9 : st. gabriel \| windsor \| farmington valley \| hartford \| 1894 \| none row 10 : st. gertrude \| windsor \| farmington valley \| hartford \| 1947 \| none row 11 : st. hedwig \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1906 \| polish row 12 : holy infant \| orange \| west shore line \| new haven \| 1952 \| none row 13 : immaculate conception \| new hartford \| litchfield \| waterbury \| 1869 \| none row 14 : immaculate conception \| norfolk \| litchfield \| waterbury \| 1889 \| none row 15 : st. john the evangelis \| new britain \| new britain \| hartford \| 1916 \| none row 16 : st. joseph \| canaan \| litchfield \| waterbury \| 1920 \| none row 17 : st. joseph \| winsted (winchester) \| litchfield \| waterbury \| 1853 \| none row 18 : st. lawrence \| west haven \| west shore line \| new haven \| 1886 \| none row 19 : st. margaret mary \| south windsor \| manchester \| hartford \| 1961 \| none row 20 : st. mary \| newington \| suburban hartford \| hartford \| 1924 \| none row 21 : st. mary \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1907 \| none row 22 : st. mary \| unionville (farmington) \| farmington valley \| hartford \| 1874 \| none row 23 : st. mary \| windsor locks \| enfield \| hartford \| 1852 \| none row 24 : st. michael \| waterbury \| waterbury \| waterbury \| 1897 \| none row 25 : our lady of loreto \| waterbury \| waterbury \| waterbury \| 1971 \| portuguese row 26 : our lady of mt. carmel \| waterbury \| waterbury \| waterbury \| 1923 \| italian row 27 : our lady of the lakes \| new milford \| suburban waterbury \| waterbury \| 1990 \| none row 28 : st. patrick \| collinsville (canton) \| farmington valley \| hartford \| 1856 \| none row 29 : st. peter \| torrington \| litchfield \| waterbury \| 1910 \| italian row 30 : st. peter claver \| west hartford \| suburban hartford \| hartford \| 1966 \| none row 31 : sacred heart \| new haven \| new haven \| new haven \| 1876 \| none row 32 : st. stanislaus \| bristol \| bristol \| waterbury \| 1919 \| polish ] Execute this SQL based on the above table: select count ( original ethnic community ) where name > 1773	32
[ header: year \| award \| result \| category \| series row 1 : 2004 \| bet comedy awards \| won \| outstanding supporting actor in a comedy series \| scrubs row 2 : 2002 \| bet comedy awards \| won \| outstanding supporting actor in a comedy series \| scrubs row 3 : 2004 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 4 : 2005 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 5 : 2006 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 6 : 2007 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 7 : 2005 \| naacp image awards \| nominated \| outstanding supporting actor in a comedy series \| scrubs row 8 : 2006 \| naacp image awards \| nominated \| outstanding actor in a comedy series \| scrubs row 9 : 2007 \| naacp image awards \| nominated \| outstanding actor in a comedy series \| scrubs row 10 : 2008 \| naacp image awards \| nominated \| outstanding actor in a comedy series \| scrubs ] Execute this SQL based on the above table: select result where award < ( select award where result = 'nominated' ) order by award desc limit 1	nominated
[ header: value \| diameter \| composition \| 1979-1989 obverse \| 1979-1989 reverse row 1 : 1 cent \| 18 mm \| bronze \| state arms \| frigate birds row 2 : 2 cents \| 21 mm \| bronze \| state arms \| b'abal plant row 3 : 5 cents \| 19 mm \| cupronickel \| state arms \| tokay gecko row 4 : 10 cents \| 24 mm \| cupronickel \| state arms \| breadfruit row 5 : 20 cents \| 29 mm \| cupronickel \| state arms \| dolphins row 6 : 50 cents \| 32 mm \| cupronickel \| state arms \| panda nut plant row 7 : 1 dollar \| 30 mm \| cupronickel \| state arms \| outrigger canoe row 8 : 2 dollars \| 29 mm \| nickel-brass \| state arms \| meeting lodge/"tenth anniversary of independence" ] Execute this SQL based on the above table: select 1979-1989 obverse where composition = 'cupronickel'	state arms, state arms, state arms, state arms, state arms
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| palestra italia-sp \| 18 \| 9 \| 9 \| 0 \| 0 \| 33 \| 8 \| 25 row 2 : 2 \| auto \| 14 \| 9 \| 7 \| 0 \| 2 \| 25 \| 14 \| 11 row 3 : 3 \| corinthians \| 13 \| 9 \| 6 \| 1 \| 2 \| 26 \| 9 \| 17 row 4 : 4 \| santos \| 11 \| 9 \| 5 \| 1 \| 3 \| 24 \| 17 \| 7 row 5 : 5 \| silex \| 8 \| 9 \| 3 \| 2 \| 4 \| 17 \| 26 \| -9 row 6 : 6 \| sirio \| 7 \| 9 \| 3 \| 1 \| 5 \| 21 \| 20 \| 1 row 7 : 7 \| ypiranga-sp \| 7 \| 9 \| 3 \| 1 \| 5 \| 16 \| 22 \| -6 row 8 : 8 \| portuguesa \| 7 \| 9 \| 2 \| 3 \| 4 \| 17 \| 26 \| -9 row 9 : 9 \| aa sao bento \| 4 \| 9 \| 2 \| 0 \| 7 \| 9 \| 31 \| -22 row 10 : 10 \| sc internacional de sa \| 1 \| 9 \| 0 \| 1 \| 8 \| 9 \| 24 \| -15 ] Execute this SQL based on the above table: select count ( * ) where team - team >= 303	0
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select left office where left office in ( 'may 18, 1950' , 'november 23, 1931' ) order by # desc limit 1	may 18, 1950
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| raffaele pinto \| arnaldo bernacchini \| fiat abarth 124 rallye \| 6:26:15 \| 0 \| 20 row 2 : 2 \| alcide paganelli \| ninni russo \| fiat abarth 124 rallye \| 6:30:12 \| 3.57 \| None row 3 : 3 \| markku alen \| ilkka kivimaki \| fiat abarth 124 rallye \| 6:37:17 \| 11.02 \| None row 4 : 4 \| ove andersson \| arne hertz \| toyota corolla \| 6:40:54 \| 14.39 \| 10 row 5 : 5 \| harry kallstrom \| claes billstam \| datsun 260z \| 6:54:27 \| 28.12 \| 8 row 6 : 6 \| bob neyret \| yveline vanoni \| alpine-renault a110 1800 \| 7:04:18 \| 38.03 \| 6 row 7 : 7 \| georg fischer \| harald gottlieb \| bmw 2002 \| 7:05:02 \| 38.47 \| 4 row 8 : 8 \| francisco romaozinho \| jose bernardo \| citroen gs \| 7:17:04 \| 50.49 \| 3 row 9 : 9 \| chris sclater \| neil wilson \| ford escort rs1 \| 7:26:59 \| 1:00.44 \| 2 row 10 : 10 \| antonio borges \| miguel sottomayor \| fiat 124 sport spyder \| 7:27:55 \| 1:01.40 \| None ] Execute this SQL based on the above table: select co-driver order by time limit 369	arnaldo bernacchini, ninni russo, ilkka kivimaki, arne hertz, claes billstam, yveline vanoni, harald gottlieb, jose bernardo, neil wilson, miguel sottomayor
[ header: year \| goalkeeper \| defenders \| midfielders \| forwards row 1 : 1988 \| tony meola, virginia \| jeff agoos, virginia \| henry gutierrez, nc \| scott benedetti, portl row 2 : 1993 \| tim deck, wisconsin \| shane batelle, st \| brian kamler, creighton ja \| keith defini, creighton row 3 : 1996 \| jon busch, charlotte \| tahj jakins, u \| mike fisher, virginia \| tony kuhn, vander row 4 : 1998 \| adin brown, william & \| matt chulis, virginia \| lazo alavanja, indian \| chris albright, virginia row 5 : 2000 \| chris hamblin, boston \| chris gbandi, \| carl bussey, sm \| chris carrieri, unc row 6 : 2001 \| byron foss, sm \| chris gbandi, \| luchi gonzalez, \| nicholas mccrea row 7 : 2009 \| jeff attinella, south flori \| bobby warshaw, stanford \| kyle nakazawa, \| teal bunbury, akron col ] Execute this SQL based on the above table: select count ( * ) where forwards = 'chris albright, virginia seth george, ucla dema kovalenko, indiana richard mulrooney, creighton'	0
[ header: province \| capital \| population \| density \| municipalities \| legal districts row 1 : almeria \| almeria \| 702819 \| 72.5 /km2 (188 / \| 102 municipalities \| 8 row 2 : cadiz \| cadiz \| 1243519 \| 158.8 /km2 (411 \| 44 municipalities \| 14 row 3 : cordoba \| cordoba \| 805857 \| 72.4 /km2 (188 / \| 75 municipalities \| 12 row 4 : granada \| granada \| 924550 \| 68.7 /km2 (178 \| 169 municipalities \| 9 row 5 : huelva \| huelva \| 521968 \| 47.7 /km2 (124 \| 79 municipalities \| 6 row 6 : jaen \| jaen \| 670600 \| 49.1 /km2 (127 \| 97 municipalities \| 10 row 7 : malaga \| malaga \| 1625827 \| 204.1 /km2 (529 / \| 101 municipalities \| 11 row 8 : seville \| seville \| 1928962 \| 129.2 /km2 (335 \| 105 municipalities \| 15 ] Execute this SQL based on the above table: select capital where legal districts = ( select legal districts where capital = 'jaen' ) + 1	malaga
[ header: number \| builder \| type \| date \| works number \| notes row 1 : 51 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74408 \| acquired new 1949, retired 1970/wrecke row 2 : 52 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74409 \| acquired new 1949, retired in 1970 and scrapped row 3 : 53 \| baldwin locomotive works \| ds4-4-1000 \| 1949 \| 74193 \| ex-pan american engineering w8380; row 4 : 54 \| baldwin locomotive works \| s-12 \| 1952/1953 \| 75823 \| ex-nw (3307); n row 5 : 55 \| baldwin locomotive works \| rs-12 \| 1955 \| 76024 \| decorated for the united states bicentennial row 6 : 56 \| baldwin locomotive works \| rs-12 \| 1955 \| 76105 \| nee mr 33, acquired row 7 : 57 \| baldwin locomotive works \| s-12 \| 1953 \| 75914 \| nee sp 1539, row 8 : 61 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 9 : 62 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 10 : 63 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. sold to nv row 11 : 64 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3411. operational and in row 12 : 65 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3412. operational row 13 : 66 \| electro-motive diesel \| gp9m \| 1956 \| None \| former c&o # 6145. acquired row 14 : 67 \| electro-motive diesel \| gp9m \| 6/1954 \| 19554 \| built as bangor and aroosto row 15 : m-80 \| mack \| railbus \| 1923 \| None \| purchased 1925. wrecked twice: in 1957 row 16 : m-100 \| edwards rail car company \| motor car \| 1925 \| None \| acquired from moorhead & north fork row 17 : m-200 \| ss&iw \| motor car \| 1927 \| None \| ex-trc #22; n row 18 : m-300 \| american car and foundry company \| motor car \| 1935 \| None \| m-300 at fort bragg ex ] Execute this SQL based on the above table: select notes order by works number desc limit 1	nee mr 33, acquired 1970, retired 1985 to john bradley, 1985; to travel town museum (los angeles, ca)56
[ header: name \| date of birth \| club \| division \| appointed \| time as manager row 1 : francis bosschaerts \| 15 october 1956 \| heist \| belgian second division \| 1 june 1999 \| 15 years, 25 days row 2 : hein vanhaezebrouck \| 16 february 1964 \| kortrijk \| belgian pro league \| 6 june 2010 \| 4 years, 20 days row 3 : arnauld mercier \| 4 june 1972 \| boussu dour \| belgian second division \| 21 april 2011 \| 3 years, 66 days row 4 : frank defays \| 23 january 1974 \| virton \| belgian second division \| 6 june 2011 \| 3 years, 20 days row 5 : serhiy serebrenni \| 1 september 1976 \| roeselare \| belgian second division \| 30 june 2011 \| 2 years, 361 days row 6 : regi van acker \| 25 april 1955 \| hoogstraten \| belgian second division \| 23 november 2011 \| 2 years, 215 days row 7 : eric franken \| None \| asv geel \| belgian second division \| 20 march 2012 \| 2 years, 98 days row 8 : john van den brom \| 4 october 1966 \| anderlecht \| belgian pro league \| 30 may 2012 \| 2 years, 27 days row 9 : tintin marquez \| 7 january 1962 \| eupen \| belgian second division \| 6 july 2012 \| 1 year, 355 days row 10 : lorenzo staelens \| 30 april 1964 \| cercle brugge \| belgian pro league \| 2 april 2013 \| 1 year, 85 days row 11 : dennis van wijk \| 16 december 1962 \| westerlo \| belgian second division \| 29 april 2013 \| 1 year, 58 days row 12 : yannick ferrera \| 24 september 1980 \| sint-truiden \| belgian second division \| 24 may 2013 \| 1 year, 33 days row 13 : jimmy floyd hasse \| 27 march 1972 \| antwerp \| belgian second division \| 29 may 2013 \| 1 year, 28 days row 14 : philippe medery \| None \| vise \| belgian second division \| 31 may 2013 \| 1 year, 26 days row 15 : felice mazzu \| 12 march 1966 \| charleroi \| belgian pro league \| 1 june 2013 \| 1 year, 25 days row 16 : stijn vreven \| 18 july 1973 \| lommel united \| belgian second division \| 1 june 2013 \| 1 year, 25 days row 17 : guido brepoels \| 7 june 1961 \| dessel sport \| belgian second division \| 24 september 2013 \| 0 years, 275 days row 18 : mircea rednic \| 9 april 1962 \| gent \| belgian pro league \| 1 october 2013 \| 0 years, 268 days row 19 : bob peeters \| 10 january 1974 \| waasland-beveren \| belgian pro league \| 5 november 2013 \| 0 years, 233 days row 20 : rachid chihab \| None \| mouscron-peruwelz \| belgian second division \| 19 december 2013 \| 0 years, 189 days row 21 : franky vercauteren \| 28 october 1956 \| mechelen \| belgian pro league \| 5 january 2014 \| 0 years, 172 days row 22 : jean-guy wallemme \| 10 august 1967 \| rwdm brussels \| belgian second division \| 30 january 2014 \| 0 years, 147 days row 23 : rene desaeyere \| 14 september 1947 \| aalst \| belgian second division \| 5 february 2014 \| 0 years, 141 days ] Execute this SQL based on the above table: select name group by name order by count ( * ) asc limit 1	arnauld mercier
[ header: season \| premiere date \| the winner \| runner-up \| finalists \| contestants in order of elimination \| number of contestants \| number of concerts row 1 : af1 \| june 21, 2004 \| vit (v2) \| jeen (v1) \| aof (v6), z- \| joomjim (v5), por \| 12 \| 9 row 2 : af2 \| july 18, 2005 \| aof (v4) \| pat (v6) \| boy (v8), pas (v9), \| joe (v12), loog \| 12 \| 12 row 3 : af4 \| june 18, 2007 \| nat (v1) \| tol (v9) \| papang (v3), music (v8) \| cat (v11), tee ( \| 12 (20) \| 13 row 4 : af5 \| may 12, 2008 \| natthew (v13) \| ron (v12) \| pump (v8), good (v10), \| green (v16), micky (v6) \| 12 (16) \| 12 row 5 : af6 \| june 28, 2009 \| zani (v6) \| ann (v10) \| tee (v5), & \| koonjae-sal ( \| 12 \| 12 row 6 : af7 \| june 27, 2010 \| por (v12) \| ton (v13) \| boss (v10), new (v4), \| pum (v7), ben (v \| 12 (100) \| 12 row 7 : af9 \| june 3, 2012 \| ice (v8) \| zo (v1) \| bright(v5), nest(v7) \| k (v6), sunny (v11 \| 12 (24) \| 15 row 8 : af10 \| june 23, 2013 \| tungbeer (v20) \| tayme (v6) \| tuey (v21), beam \| tung (v13), taeng \| 24 \| 12 ] Execute this SQL based on the above table: select count ( number of concerts ) where season > 0	8
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code \| u.s. viewers (millions) row 1 : 1 \| 1 \| "pilot" \| jace alexander \| matt nix \| june 28, 2007 \| bn100 \| 4 row 2 : 2 \| 2 \| "identity" \| rod hardy \| matt nix \| july 5, 2007 \| bn101 \| 4 row 3 : 3 \| 3 \| "fight or flight" \| colin bucksey \| craig o'neill \| july 12, 2007 \| bn103 \| None row 4 : 4 \| 4 \| "old friends" \| david solomon \| alfredo barrios, jr \| july 19, 2007 \| bn102 \| None row 5 : 5 \| 5 \| "family business" \| sandy bookstaver \| matt nix \| july 26, 2007 \| bn104 \| None row 6 : 6 \| 6 \| "unpaid debts" \| paul holahan \| nick thiel \| august 2, 2007 \| bn105 \| 4.41 row 7 : 7 \| 7 \| "broken rules" \| tim matheson \| mere smith \| august 9, 2007 \| bn106 \| None row 8 : 8 \| 8 \| "wanted man" \| ken girotti \| craig o'neill \| august 16, 2007 \| bn107 \| None row 9 : 9 \| 9 \| "hard bargain" \| john kretchmer \| alfredo barrios, jr \| august 23, 2007 \| bn108 \| 4.08 row 10 : 10 \| 10 \| "false flag" \| paul shapiro \| matt nix & ben wa \| september 13, 2007 \| bn109 \| 4 row 11 : 11 \| 11 \| "dead drop" \| jeremiah chechik \| craig o'neill \| september 20, 2007 \| bn110 \| 4.8 row 12 : 12 \| 12 \| "loose ends" \| stephen surjik \| matt nix & alfred \| september 20, 2007 \| bn111 \| 4.8 ] Execute this SQL based on the above table: select count ( no. in series ) where original air date < 5	1
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select abs ( ( select year where album = 'non-album singles' ) - ( select year where album = 'after dark' ) )	4
[ header: airline \| icao \| iata \| callsign \| commenced operations row 1 : air uganda \| uga \| u7 \| uganda \| 2007 row 2 : eagle air (uganda) \| egu \| h7 \| african eagle \| 1994 row 3 : fly540 uganda \| ful \| None \| orange crane \| 2008 row 4 : pearl air services \| pby \| None \| pearl services \| None row 5 : royal daisy airlines \| kdr \| 6d \| darlines \| 2005 row 6 : skyjet airlines \| sju \| uq \| skyjet \| 2003 row 7 : africa safari air \| asa \| as \| asa \| 2013 row 8 : uganda air cargo \| ucc \| None \| uganda cargo \| 1994 row 9 : united airlines limited \| None \| None \| None \| None ] Execute this SQL based on the above table: select airline order by id desc limit 1	united airlines limited
[ header: year \| derby winner \| galaxy \| draw \| chivas row 1 : 2005 \| galaxy \| 5 \| 0 \| 0 row 2 : 2006 \| galaxy \| 2 \| 1 \| 1 row 3 : 2007 \| chivas \| 1 \| 1 \| 2 row 4 : 2008 \| galaxy \| 1 \| 2 \| 0 row 5 : 2009 \| galaxy \| 3 \| 2 \| 0 row 6 : 2010 \| galaxy \| 2 \| 0 \| 0 row 7 : 2011 \| galaxy \| 2 \| 0 \| 0 row 8 : 2012 \| galaxy \| 2 \| 0 \| 1 row 9 : 2013 \| galaxy \| 2 \| 1 \| 0 row 10 : total \| None \| 20 \| 7 \| 4 ] Execute this SQL based on the above table: select count ( derby winner ) where draw = 0	4
[ header: year \| local radio station \| local radio announcers \| foreign language radio station \| foreign language radio announcers \| local television station \| local television announcers \| cable television station \| cable television announcers row 1 : 1941 \| whn \| red barber al helfer \| None \| None \| None \| None \| None \| None row 2 : 1946 \| whn \| red barber connie desmond \| None \| None \| None \| None \| None \| None row 3 : 1956 \| wmgm \| connie desmond vin scully al \| whom \| buck canel herb marine \| wor-tv \| connie desmond vin scully al \| None \| None row 4 : 1970 \| kfi \| vin scully jerry dogget \| kwkw \| jaime jarrin jose garcia \| kttv \| vin scully jerry dogget \| None \| None row 5 : 1976 \| kabc \| vin scully jerry dogget \| kwkw \| jaime jarrin rudy ho \| kttv \| vin scully jerry dogget \| None \| None row 6 : 1980 \| kabc \| vin scully jerry dogget \| ktnq \| jaime jarrin rudy ho \| kttv \| vin scully jerry dogget \| ontv \| geoff witcher al downing row 7 : 1984 \| kabc \| vin scully jerry dogget \| ktnq \| jaime jarrin rene card \| kttv \| vin scully jerry dogget \| ontv \| eddie doucette al downing row 8 : 1990 \| kabc \| vin scully ross porter don \| kwkw kazn \| jaime jarrin rene card \| kttv \| vin scully ross porter don \| sportschannel \| joel meyers ron row 9 : 1995 \| kabc \| vin scully ross porter \| kwkw kypa \| jaime jarrin rene card \| ktla \| vin scully ross porter \| none \| none row 10 : 2006 \| kfwb \| vin scully rick monday \| kwkw \| jaime jarrin pepe y \| kcal \| vin scully charley stein \| fsn west 2 \| vin scully charley stein ] Execute this SQL based on the above table: select sum ( year ) where local television station in ( 'wor-tv' , 'kttv' , 'ktla' , 'kcal' )	15857
[ header: season \| head coach \| overall record \| conference record row 1 : 1931 \| tom conley \| 4-4 \| None row 2 : 1932 \| tom conley \| 4-2-2 \| None row 3 : 1933 \| marty brill \| 3-3-2 \| None row 4 : 1934 \| marty brill \| 7-0-1 \| None row 5 : 1935 \| marty brill \| 4-4-1 \| None row 6 : 1936 \| marty brill \| 6-4-1 \| None row 7 : 1937 \| marty brill \| 2-7 \| None row 8 : 1938 \| marty brill \| 4-4 \| None row 9 : 1939 \| marty brill \| 6-1-1 \| None row 10 : 1940 \| jim henry \| 6-2 \| None row 11 : 1941 \| jim henry \| 5-3 \| None row 12 : 1997 \| bill manlove \| 1-8 \| None row 13 : 1998 \| bill manlove \| 3-6 \| None row 14 : 1999 \| bill manlove \| 4-6 \| 3-5 (t-6th/9) row 15 : 2000 \| bill manlove \| 7-4 \| 4-3 (4th/8) row 16 : 2001 \| bill manlove \| 5-4 \| 2-4 (t-5th/8) row 17 : 2002 \| archie stalcup \| 2-9 \| 2-6 (t-7th/9) row 18 : 2003 \| archie stalcup \| 3-8 \| 2-3 (t-3rd/6) row 19 : 2004 \| phil longo \| 3-7 \| 1-3 (t-3rd/5) row 20 : 2005 \| phil longo \| 4-7 \| 2-2 (t-3rd/5) row 21 : 2006 \| tim miller \| 3-7 \| 1-3 (t-4th/5) row 22 : 2007 \| tim miller \| 0-10 \| 0-3 (4th/4) ] Execute this SQL based on the above table: select conference record where season > ( select season where overall record = '5-3' )	3-5 (t-6th/9), 4-3 (4th/8), 2-4 (t-5th/8), 2-6 (t-7th/9), 2-3 (t-3rd/6), 1-3 (t-3rd/5), 2-2 (t-3rd/5), 1-3 (t-4th/5), 0-3 (4th/4)
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select title where notes is null order by id limit 1410	the x factor, never mind the buzzcocks, 90210
[ header: type \| power [w] \| relative cost \| input range [v] \| energy storage \| features row 1 : flyback \| 0-250 \| 1 \| 5-600 \| mutual inductors \| isolated form of the buck-boost row 2 : ringing choke converter (rcc) \| 0-150 \| 1 \| 5-600 \| transformer \| low-cost self-oscillating row 3 : half-forward \| 0-250 \| 1.2 \| 5-500 \| inductor \| None row 4 : forward \| 100-200 \| None \| 60-200 \| inductor \| isolated form of buck converter row 5 : resonant forward \| 0-60 \| 1 \| 60-400 \| inductor and capacitor \| single rail input, unregulated output, high efficiency row 6 : push-pull \| 100-1,000 \| 1.75 \| 50-1,000 \| inductor \| None row 7 : half-bridge \| 0-2,000 \| 1.9 \| 50-1,000 \| inductor \| None row 8 : full-bridge \| 400-5,000 \| >2.0 \| 50-1,000 \| inductor \| very efficient use of transformer, used for highest powers row 9 : resonant, zero voltage switched \| >1,000 \| >2.0 \| None \| inductor and capacitor \| None row 10 : isolated cuk \| None \| None \| None \| two capacitors and two inductors \| None ] Execute this SQL based on the above table: select count ( * ) where features < 160	0
[ header: season \| tier \| division \| place row 1 : 2005/06 \| 5 \| 1a aut. pref \| None row 2 : 2006/07 \| 4 \| 3a \| 19th row 3 : 2007/08 \| 5 \| 1a aut. pref \| 2nd row 4 : 2008/09 \| 4 \| 3a \| 18th row 5 : 2009/10 \| 5 \| 1a aut. pref \| 3rd row 6 : 2010/11 \| 5 \| 1a aut. pref \| 9th row 7 : 2011/12 \| 5 \| 1a aut. pref \| 8th row 8 : 2012/13 \| 5 \| 1a aut. pref \| 11th row 9 : 2013/14 \| 5 \| 1a aut. pref \| None ] Execute this SQL based on the above table: select place where id = ( select id where place = '9th' ) - 1	3rd
[ header: place (posicion) \| team (equipo) \| played (pj) \| won (pg) \| draw (pe) \| lost (pp) \| goals scored (gf) \| goals conceded (gc) \| +/- (dif.) \| points (pts.) row 1 : 1 \| tauro f.c \| 13 \| 7 \| 2 \| 4 \| 21 \| 18 \| +3 \| 23 row 2 : 2 \| san francisco f.c \| 13 \| 5 \| 6 \| 2 \| 19 \| 15 \| +4 \| 21 row 3 : 3 \| chepo f.c \| 13 \| 5 \| 5 \| 3 \| 19 \| 12 \| +7 \| 20 row 4 : 4 \| sporting san miguelito \| 13 \| 6 \| 2 \| 5 \| 18 \| 16 \| +2 \| 20 row 5 : 5 \| arabe unido \| 13 \| 6 \| 2 \| 5 \| 15 \| 14 \| +1 \| 20 row 6 : 6 \| plaza amador \| 13 \| 4 \| 7 \| 2 \| 13 \| 9 \| +4 \| 19 row 7 : 7 \| chorrillo f.c \| 13 \| 3 \| 7 \| 3 \| 14 \| 13 \| +1 \| 16 row 8 : 8 \| atletico chiriqui \| 13 \| 4 \| 3 \| 6 \| 14 \| 22 \| -8 \| 15 row 9 : 9 \| atletico veraguense \| 13 \| 2 \| 5 \| 6 \| 15 \| 28 \| -13 \| 11 row 10 : 10 \| alianza \| 13 \| 3 \| 1 \| 9 \| 25 \| 27 \| -2 \| 10 ] Execute this SQL based on the above table: select team (equipo) order by team (equipo) desc limit 1	tauro f.c
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1982 \| african championships \| cairo, egyp \| 1st \| marathon \| 2:21:05 row 2 : 1982 \| commonwealth games \| brisbane, australia \| 2nd \| marathon \| 2:09:30 row 3 : 1983 \| world championships \| helsinki, finland \| 15th \| marathon \| 2:13:11 row 4 : 1983 \| melbourne marathon \| melbourne, australia \| 1st \| marathon \| 2:13:50 row 5 : 1984 \| tokyo marathon \| tokyo, japan \| 1st \| marathon \| 2:10:49 row 6 : 1984 \| olympic games \| los angeles, united states \| 6th \| marathon \| 2:11:10 row 7 : 1984 \| melbourne marathon \| melbourne, australia \| 1st \| marathon \| 2:15:31 row 8 : 1986 \| tokyo marathon \| tokyo, japan \| 1st \| marathon \| 2:08:10 row 9 : 1986 \| fukuoka marathon \| fukuoka, japan \| 1st \| marathon \| 2:10:06 row 10 : 1987 \| world championships \| rome, italy \| 6th \| marathon \| 2:13:43 row 11 : 1987 \| beijing marathon \| beijing, pr china \| 1st \| marathon \| 2:12:19 row 12 : 1988 \| olympic games \| seoul, south korea \| 7th \| marathon \| 2:13:06 row 13 : 1988 \| boston marathon \| boston, united states \| 2nd \| marathon \| None row 14 : 1989 \| new york city marathon \| new york, united states \| 1st \| marathon \| 2:08:01 row 15 : 1989 \| boston marathon \| boston, united states \| 2nd \| marathon \| None row 16 : 1990 \| boston marathon \| boston, united states \| 2nd \| marathon \| None row 17 : 1992 \| olympic games \| barcelona, spain \| 34th \| marathon \| 2:19:34 row 18 : 1993 \| world championships \| stuttgart, germany \| 21st \| marathon \| 2:24:23 row 19 : 1995 \| world championships \| gothenburg, sweden \| 43rd \| marathon \| 2:30:53 ] Execute this SQL based on the above table: select count ( * ) where venue = 'cairo, egypt'	1
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 14 \| robert doornbos \| minardi team usa \| 107 \| 1:45:07.617 \| 15 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 107 \| +6.1 secs \| 5 \| 27 row 3 : 3 \| 3 \| oriol servia \| forsythe racing \| 107 \| +6.9 secs \| 4 \| 26 row 4 : 4 \| 5 \| will power \| team australia \| 107 \| +7.5 secs \| 12 \| 23 row 5 : 5 \| 1 \| sebastien bourdais \| n/h/l racing \| 107 \| +8.0 secs \| 2 \| 21 row 6 : 6 \| 2 \| graham rahal \| n/h/l racing \| 107 \| +9.6 secs \| 6 \| 19 row 7 : 7 \| 19 \| bruno junqueira \| dale coyne racing \| 107 \| +14.0 secs \| 10 \| 17 row 8 : 8 \| 22 \| tristan gommendy \| pkv racing \| 107 \| +19.2 secs \| 8 \| 15 row 9 : 9 \| 42 \| jan heylen \| conquest racing \| 107 \| +28.5 secs \| 13 \| 13 row 10 : 10 \| 15 \| simon pagenaud \| team australia \| 107 \| +48.4 secs \| 9 \| 11 row 11 : 11 \| 3 \| paul tracy \| forsythe championship racing \| 105 \| + 2 laps \| 11 \| 10 row 12 : 12 \| 28 \| mario dominguez \| pacific coast motorsports \| 104 \| + 3 laps \| 14 \| 12 row 13 : 13 \| 22 \| justin wilson \| rsports \| 87 \| + 20 laps \| 1 \| 8 row 14 : 14 \| 29 \| alex figge \| pacific coast motorsports \| 34 \| contact \| 0 \| 7 row 15 : 15 \| 11 \| alex tagliani \| rsports \| 83 \| mechanical \| 8 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 13 \| contact \| 16 \| 5 row 17 : 17 \| 4 \| dan clarke \| minardi team usa \| 3 \| contact \| 3 \| 4 ] Execute this SQL based on the above table: select count ( driver ) where grid = 0	1
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select year where director = 'joe nussbaum'	2007
[ header: rank \| diver \| preliminary points \| preliminary rank \| final points \| final rank \| final total row 1 : 1 \| ingrid kramer (eua \| 56.3 \| 1 \| 34.98 \| 2 \| 91.28 row 2 : 2 \| paula jean myers-pope \| 54.7 \| 2 \| 35.24 \| 1 \| 89.94 row 3 : 3 \| ninel krutova (urs) \| 53.38 \| 3 \| 33.61 \| 3 \| 86.99 row 4 : 4 \| juno stover-irwin ( \| 51.9 \| 6 \| 31.69 \| 4 \| 83.59 row 5 : 5 \| raisa gorokhovskaya \| 51.53 \| 8 \| 31.5 \| 5 \| 83.03 row 6 : 6 \| norma thomas (gbr \| 51.77 \| 7 \| 30.44 \| 7 \| 82.21 row 7 : 7 \| nicolle darrigrand- \| 49.68 \| 12 \| 31.5 \| 5 \| 81.18 row 8 : 8 \| phyllis long (gbr) \| 52.12 \| 5 \| 28.86 \| 9 \| 80.98 row 9 : 9 \| irene macdonald (can \| 51.31 \| 9 \| 29.18 \| 8 \| 80.49 row 10 : 10 \| kumiko watanabe ( \| 51.04 \| 10 \| 28.56 \| 10 \| 79.6 row 11 : 11 \| kanoko tsutani- \| 49.76 \| 11 \| 28.14 \| 11 \| 77.9 row 12 : 12 \| birte christoffersen- \| 53.03 \| 4 \| 24.4 \| 12 \| 77.43 row 13 : 13 \| maria teresa adam \| 49.54 \| 13 \| None \| None \| None row 14 : 14 \| hanna laursen (den) \| 48.89 \| 14 \| None \| None \| None row 15 : 15 \| gabriele schope (eu \| 48.81 \| 15 \| None \| None \| None row 16 : 16 \| bende velin (den) \| 48.35 \| 16 \| None \| None \| None row 17 : 17 \| laura conter (ita) \| 45.55 \| 17 \| None \| None \| None row 18 : 18 \| susan knight (aus) \| 43.03 \| 18 \| None \| None \| None ] Execute this SQL based on the above table: select count ( rank )	18
[ header: school \| location \| control \| type \| enrollment \| founded row 1 : air force institute of technology \| wright-patterson af \| public \| dru \| 719 \| 1919 row 2 : california institute of technology \| pasadena, californi \| private \| ru/vh \| 2231 \| 1891 row 3 : california polytechnic state \| san luis obispo, \| public \| master's l \| 18762 \| 1901 row 4 : california state polytechnic \| pomona, california \| public \| master's l \| 22273 \| 1938 row 5 : clarkson university \| potsdam, ny \| private \| ru/h \| 3187 \| 1896 row 6 : colorado school of mines \| golden, colorado \| public \| ru/h \| 4296 \| 1874 row 7 : colorado technical university \| colorado springs, colorad \| private \| dru \| 30020 \| 1965 row 8 : florida institute of technology \| melbourne, florida \| private \| dru \| 8985 \| 1958 row 9 : georgia institute of technology \| atlanta, georgia \| public \| ru/vh \| 20487 \| 1885 row 10 : illinois institute of technology \| chicago, illinois \| private \| ru/h \| 7787 \| 1890 row 11 : massachusetts institute of technology \| cambridge, massachusetts \| private \| ru/vh \| 10894 \| 1861 row 12 : michigan technological university \| houghton, michigan \| public \| ru/h \| 6957 \| 1885 row 13 : missouri university of science and technology \| rolla, missouri \| public \| ru/h \| 7521 \| 1870 row 14 : montana tech of the university of montan \| butte, montana \| public \| bac/diverse \| 2694 \| 1900 row 15 : new jersey institute of technology \| newark, new jersey \| private \| ru/h \| 9558 \| 1881 row 16 : new mexico institute of mining and technology \| socorro, new mexico \| public \| master's m \| 1921 \| 1889 row 17 : oregon institute of technology \| klamath falls, oregon \| public \| bac/diverse \| 3927 \| 1947 row 18 : polytechnic institute of new york university \| brooklyn, new york \| private \| ru/h \| 4514 \| 1854 row 19 : rensselaer polytechnic institute \| troy, new york \| private \| ru/vh \| 7521 \| 1824 row 20 : rochester institute of technology \| henrietta, new york \| private \| master's l \| 17652 \| 1829 row 21 : rose-hulman institute of technology \| terre haute, indiana \| private \| spec/engg \| 1970 \| 1874 row 22 : south dakota school of mines and technology \| rapid city, south dakota \| public \| spec/engg \| 2354 \| 1885 row 23 : southern polytechnic state university \| marietta, georgia \| public \| master's m \| 6202 \| 1948 row 24 : stevens institute of technology \| hoboken, new jersey \| private \| ru/h \| 5260 \| 1870 row 25 : texas tech university \| lubbock, texas \| public \| ru/h \| 32327 \| 1923 row 26 : university of wisconsin-stout \| menomonie, wisconsin \| public \| master's l \| 9339 \| 1891 row 27 : virginia polytechnic institute and state university \| blacksburg, virginia \| public \| ru/vh \| 30739 \| 1872 ] Execute this SQL based on the above table: select location group by location order by count ( * ) desc limit 1	wright-patterson afb, ohio
[ header: region \| seed \| team \| coach \| finished \| final opponent \| score row 1 : west \| 4 \| unlv \| jerry tarkanian \| sweet sixteen \| 8 auburn \| l 70-63 row 2 : west \| 8 \| auburn \| sonny smith \| regional runner-up \| 2 louisville \| l 84-76 row 3 : west \| 11 \| missouri \| norm stewart \| round of 64 \| 6 uab \| l 66-64 row 4 : west \| 13 \| northeast louisiana \| mike vining \| round of 64 \| 4 unlv \| l 74-51 row 5 : west \| 14 \| utah \| lynn archibald \| round of 64 \| 3 north carolina \| l 84-72 row 6 : midwest \| 1 \| kansas \| larry brown \| national semifinals \| 1 duke \| l 71-67 row 7 : midwest \| 3 \| notre dame \| digger phelps \| round of 64 \| 14 arkansas-little rock \| l 90-83 row 8 : midwest \| 4 \| georgetown \| john thompson \| round of 32 \| 5 michigan state \| l 80-68 row 9 : midwest \| 5 \| michigan state \| jud heathcote \| sweet sixteen \| 1 kansas \| l 96-86 row 10 : midwest \| 6 \| north carolina state \| jim valvano \| regional runner-up \| 1 kansas \| l 75-67 row 11 : midwest \| 7 \| iowa state \| johnny orr \| sweet sixteen \| 6 north carolina state \| l 70-66 row 12 : midwest \| 8 \| jacksonville \| bob wenzel \| round of 64 \| 9 temple \| l 61-50 row 13 : midwest \| 10 \| miami, ohio \| jerry peirson \| round of 64 \| 7 iowa state \| l 81-79 row 14 : midwest \| 12 \| washington \| andy russo \| round of 64 \| 5 michigan state \| l 72-70 row 15 : midwest \| 13 \| texas tech \| gerald myers \| round of 64 \| 4 georgetown \| l 70-64 row 16 : midwest \| 14 \| arkansas-little rock \| mike newell \| round of 32 \| 6 north carolina state \| l 80-66 row 17 : southeast \| 3 \| memphis state (vacated) \| dana kirk \| round of 32 \| 11 lsu \| l 83-81 row 18 : southeast \| 6 \| purdue \| gene keady \| round of 64 \| 11 lsu \| l 94-87 row 19 : southeast \| 8 \| western kentucky \| clem haskins \| round of 32 \| 1 kentucky \| l 71-64 row 20 : southeast \| 9 \| nebraska \| moe iba \| round of 64 \| 8 western kentucky \| l 67-59 row 21 : southeast \| 13 \| fairfield \| mitch buonaguro \| round of 64 \| 4 illinois \| l 75-51 row 22 : southeast \| 15 \| marist \| matt furjanic \| round of 64 \| 2 georgia tech \| l 68-53 row 23 : east \| 1 \| duke \| mike krzyzewski \| runner up \| 2 louisville \| l 72-69 row 24 : east \| 2 \| syracuse \| jim boeheim \| round of 32 \| 7 navy \| l 97-85 row 25 : east \| 3 \| indiana \| bob knight \| round of 64 \| 14 cleveland state \| l 83-79 row 26 : east \| 8 \| old dominion \| tom young \| round of 32 \| 1 duke \| l 89-61 ] Execute this SQL based on the above table: select coach where id = ( select id where coach = 'john thompson' ) + 1	jud heathcote
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select count ( * ) where time > 374	0
[ header: date \| time \| opponent \| site \| tv \| result \| attendance \| record row 1 : 11/09/2013 \| 1:00 pm \| trinity baptist \| moore gymnasium • daytona \| None \| w 91-74 \| 409 \| 1-0 row 2 : 11/12/2013 \| 7:00 pm \| at south florida \| usf sun dome • tampa, \| espn3 \| l 65-91 \| 3549 \| 1-1 row 3 : 11/19/2013 \| 7:00 pm \| trinity (fl) \| moore gymnasium • daytona \| None \| w 98-55 \| 1180 \| 2-2 row 4 : 11/21/2013 \| 7:00 pm \| fiu \| moore gymnasium • daytona \| None \| l 67-82 \| None \| 2-3 row 5 : 11/27/2013 \| 4:00 pm \| at new mexico state \| moby arena • fort collins, \| None \| l 52-66 \| 2945 \| 2-5 row 6 : 11/29/2013 \| 9:00 pm \| vs. prairie view a&m \| butler-hancock sports pavilion • gre \| None \| l 80-89 \| 102 \| 2-6 row 7 : 11/30/2013 \| 9:00 pm \| at northern colorado \| butler-hancock sports pavilion • gre \| None \| l 60-65 \| None \| 2-7 row 8 : 12/03/2013 \| 7:00 pm \| at stetson \| edmunds center • del \| None \| l 52-56 \| 1056 \| 2-8 row 9 : 12/09/2013 \| 7:00 pm \| at hampton \| hampton convocation center • hampton \| None \| l 52-85 \| 1428 \| 2-10 (0-2) row 10 : 12/17/2013 \| 7:00 pm \| at youngstown state \| beeghly center • youngstown \| None \| l 59-71 \| 1399 \| 2-12 row 11 : 12/21/2013 \| 7:00 pm \| at north florida \| unf arena • jacksonville, \| None \| l 64-68 \| 617 \| 2-13 row 12 : 12/30/2013 \| 8:00 pm \| at detroit \| calihan hall • detroit, \| None \| l 53-73 \| 3107 \| 2-14 row 13 : 01/11/2014 \| 4:00 pm \| north carolina a&t \| moore gymnasium • daytona \| None \| l 67-70 \| 1091 \| 2-16 (0-3) row 14 : 01/13/2014 \| 7:30 pm \| north carolina central \| moore gymnasium • daytona \| None \| l 49-64 \| 1210 \| 2-17 (0-4) row 15 : 01/18/2014 \| 6:00 pm \| at savannah state \| tiger arena • savannah \| None \| l 60-70 ot \| 3220 \| 2-18 (0-5) row 16 : 01/20/2014 \| 7:30 pm \| at south carolina state \| shm memorial center • orangeburg, s \| None \| l 67-69 \| 751 \| 2-19 (0-6) row 17 : 01/27/2014 \| 7:30 pm \| howard \| moore gymnasium • daytona \| None \| w 58-47 \| 1216 \| 4-19 (2-6) row 18 : 02/01/2014 \| 4:00 pm \| savannah state \| moore gymnasium • daytona \| None \| l 40-50 \| 1075 \| 4-20 (2-7) row 19 : 02/03/2014 \| 7:30 pm \| south carolina state \| moore gymnasium • daytona \| None \| w 91-59 \| 1063 \| 5-20 (3-7) ] Execute this SQL based on the above table: select count ( * ) where record = '2-10 (0-2)'	1
[ header: yacht \| nation \| owner \| skipper \| launch year row 1 : afr midnight rambler \| (nsw) \| ed psaltis \| ed psaltis \| 2002 row 2 : another challenge \| (vic) \| chris lewin \| chris lewin \| 2000 row 3 : another fiasco \| (qld) \| damian suckling \| damian suckling \| 1994 row 4 : balance \| (nsw) \| paul clitheroe \| paul clitheroe \| 2006 row 5 : bear necessity \| (nsw) \| andrew & pauline d \| andrew dally \| 2007 row 6 : berrimilla \| (nsw) \| alex whitworth \| alex whitworth \| 1977 row 7 : george gregan foundation \| (nsw) \| peter goldsworthy \| david witt \| 2001 row 8 : georgia \| (vic) \| john williams/graeme \| john williams \| 2000 row 9 : getaway sailing 2 \| (vic) \| peter tarimo \| jay pettifer \| 2000 row 10 : global yacht racing - kioni \| (nsw) \| kioni sailing services p/l \| richard falk \| 2001 row 11 : helsal iv \| (tas) \| tony fisher \| rob fisher \| 1986 row 12 : huckleberry \| (wa) \| steve humphries \| steve humphries \| 1982 row 13 : hugo boss ii \| None \| alex thomson racing \| ross daniel \| 2001 row 14 : ichi ban \| (nsw) \| matt allen \| matt allen \| 2005 row 15 : imarex \| (nsw) \| marc & louis ryckmans \| ola strand andersen \| 2000 row 16 : jazz \| None \| chris bull \| chris bull \| 2003 row 17 : living doll \| (vic) \| michael hiatt \| michael hiatt \| 2005 row 18 : mr kite \| (nsw) \| andrew buckland/andre \| andrew buckland/andre \| 2005 row 19 : noonmark vi \| None \| sir geoffrey mulcahy \| mike gilburt \| 1998 row 20 : quantum racing \| (nsw) \| ray roberts \| ray roberts \| 2007 row 21 : quetzalcoatl \| (nsw) \| bruce/hampshire/lee \| antony sweetapple \| 2001 row 22 : ragamuffin \| (nsw) \| syd fischer \| syd fischer \| 2004 row 23 : rosebud \| None \| roger sturgeon \| roger sturgeon \| 2007 row 24 : scarlet runner \| (vic) \| robert date \| robert date \| 2001 row 25 : secret men's business #1 \| (nsw) \| smb syndicate \| ross trembath/r cur \| 1996 row 26 : sextant \| (nsw) \| denis doyle \| denis doyle \| 1999 row 27 : shogun \| (vic) \| rob hanna \| rob hanna \| 2007 row 28 : toyota aurion \| (nsw) \| andrew short \| andrew short \| 1993 row 29 : wild oats xi \| (nsw) \| bob oatley \| mark richards \| 2005 row 30 : wot's next \| (nsw) \| graeme wood \| bill sykes \| 2005 ] Execute this SQL based on the above table: select launch year where owner = 'peter tarimo'	2000
[ header: club \| nickname \| no. of premierships \| premiership years \| moved to row 1 : calleen (previously hiawath \| blues \| 0 \| none \| disbanded in 1932 row 2 : condobolin-milby \| kangaroos \| 3 \| 1966-67, 1990 \| disbanded in 2003 row 3 : four corners \| redlegs \| 13 \| 1928-29-30-31-32, 1937, 1949 \| disbanded in 1994 row 4 : kikoira \| None \| 2 \| 1940-41 \| disbanded row 5 : lake cargelligo \| swans \| 0 \| none \| amalgamated with lake cargelligo tig row 6 : parkes \| panthers \| 0 \| none \| central west afl in 2008 row 7 : tallimba \| hawks \| 0 \| none \| disbanded in 1987 row 8 : west milby \| None \| 1 \| 1936 \| disbanded row 9 : young \| saints \| 0 \| none \| central west afl ] Execute this SQL based on the above table: select abs ( ( select no. of premierships where nickname = 'panthers' ) - ( select no. of premierships where nickname = 'panthers' ) )	0.0
[ header: rank \| bib \| country \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| total \| behind row 1 : None \| 1 \| canada (can-1) \| kaillie humphries heat \| 57.39 \| 57.73 \| 57.57 \| 57.92 \| 3:50.61 \| None row 2 : None \| 2 \| united states (usa-1) \| elana meyers laury \| 57.26 \| 57.63 \| 57.69 \| 58.13 \| 3:50.71 \| 0.1 row 3 : None \| 3 \| united states (usa-2) \| jamie greubel aja evan \| 57.45 \| 58 \| 58 \| 58.16 \| 3:51.61 \| 1 row 4 : 4 \| 9 \| netherlands (ned-1) \| esme kamphuis jud \| 57.94 \| 58.1 \| 58.2 \| 58.03 \| 3:52.27 \| 1.66 row 5 : 5 \| 4 \| germany (ger-1) \| sandra kiriasis \| 57.95 \| 58.08 \| 58.06 \| 58.2 \| 3:52.29 \| 1.68 row 6 : 7 \| 5 \| germany (ger-2) \| cathleen martini christ \| 57.99 \| 58.42 \| 58.17 \| 58.13 \| 3:52.71 \| 2.1 row 7 : 8 \| 8 \| switzerland (sui- \| fabienne meyer tanja may \| 58.18 \| 58.34 \| 58.29 \| 58.39 \| 3:53.20 \| 2.59 row 8 : 9 \| 11 \| russia (rus-1) \| olga stulneva \| 58.03 \| 58.24 \| 58.45 \| 58.74 \| 3:53.46 \| 2.85 row 9 : 10 \| 6 \| germany (ger-3) \| anja schneiderheinze stephan \| 58.17 \| 58.3 \| 58.53 \| 58.74 \| 3:53.74 \| 3.13 row 10 : 11 \| 7 \| united states (usa-3) \| jazmine fenlator lolo \| 58.27 \| 58.46 \| 58.5 \| 58.74 \| 3:53.97 \| 3.36 row 11 : 12 \| 12 \| great britain (gbr- \| paula walker rebekah \| 58.36 \| 58.4 \| 58.88 \| 58.6 \| 3:54.24 \| 3.63 row 12 : 13 \| 13 \| canada (can-2) \| jennifer ciochetti \| 58.43 \| 58.63 \| 58.72 \| 58.71 \| 3:54.49 \| 3.88 row 13 : 14 \| 14 \| australia (aus-1) \| astrid radjenovic jan \| 58.62 \| 58.5 \| 59.06 \| 58.37 \| 3:54.55 \| 3.94 row 14 : 15 \| 15 \| austria (aut-1) \| christina hengster viol \| 58.59 \| 58.56 \| 58.73 \| 58.91 \| 3:54.79 \| 4.18 row 15 : 16 \| 17 \| russia (rus-2) \| nadezhda serge \| 58.8 \| 58.69 \| 59.27 \| 59.1 \| 3:55.86 \| 5.25 row 16 : 17 \| 16 \| romania (rou-1) \| maria constantin andreea grecu \| 59.04 \| 59.08 \| 59.38 \| 59.09 \| 3:56.59 \| 5.98 ] Execute this SQL based on the above table: select count ( * ) where country = 'romania (rou-1)'	1
[ header: outcome \| no. \| date \| championship \| surface \| opponent \| score row 1 : runner-up \| 1 \| 1973 \| baltimore, u.s \| hard (i) \| jimmy connors \| 4-6, 5-7 row 2 : winner \| 1 \| 1974 \| baltimore, u.s \| carpet \| clark graebner \| 6-2, 6-1 row 3 : runner-up \| 2 \| 1974 \| birmingham, u.s \| carpet \| jimmy connors \| 5-7, 3-6 row 4 : winner \| 2 \| 1974 \| paramus, u.s \| indoor \| jurgen fassbender \| 6-1, 6-3 row 5 : winner \| 3 \| 1974 \| jackson, u.s \| carpet \| karl meiler \| 7-6, 7-5 row 6 : runner-up \| 3 \| 1975 \| maui, u.s \| hard \| jimmy connors \| 1-6, 0-6 row 7 : runner-up \| 4 \| 1975 \| hong kong \| hard \| tom gorman \| 3-6, 1-6, 1-6 row 8 : winner \| 4 \| 1977 \| little rock, u.s \| carpet \| haroon rahim \| 6-2, 6-4 row 9 : runner-up \| 5 \| 1977 \| san jose, u.s \| hard \| jiri hrebec \| 6-3, 4-6, 5-7 row 10 : winner \| 5 \| 1977 \| hampton, u.s \| carpet \| stan smith \| 4-6, 6-3, 6-2, row 11 : winner \| 6 \| 1977 \| stockholm, sweden \| hard (i) \| raymond moore \| 6-2, 6-4 row 12 : winner \| 7 \| 1978 \| st. louis wct \| carpet \| eddie dibbs \| 7-6, 6-4 row 13 : runner-up \| 6 \| 1980 \| surbiton, england \| grass \| brian gottfried \| 3-6, 3-6 row 14 : runner-up \| 7 \| 1981 \| los angeles, u.s \| hard \| john mcenroe \| 7-6, 3-6, 3-6 row 15 : runner-up \| 8 \| 1981 \| cologne, germany \| hard (i) \| ivan lendl \| 3-6, 3-6 row 16 : runner-up \| 9 \| 1981 \| stockholm, sweden \| hard (i) \| gene mayer \| 4-6, 2-6 row 17 : winner \| 8 \| 1981 \| bologna, italy \| carpet \| ilie nastase \| 7-5, 6-3 row 18 : runner-up \| 10 \| 1982 \| stuttgart outdoor, germany \| clay \| ramesh krishn \| 7-5, 3-6, 3-6, row 19 : winner \| 9 \| 1982 \| cleveland, u.s \| hard \| robert van't hof \| 7-5, 6-3 row 20 : winner \| 10 \| 1983 \| gstaad, switze \| clay \| tomas smid \| 6-0, 6-3, 6-2 ] Execute this SQL based on the above table: select surface where score <= 2	hard
[ header: team \| winners \| runners-up \| years won \| years runner-up row 1 : liverpool \| 8 \| 3 \| 1981, 1982, 1983, 1984, 1995, \| 1978, 1987, 2005 row 2 : aston villa \| 5 \| 3 \| 1961, 1975, 1977, 1994, 1996 \| 1963, 1971, 2010 row 3 : manchester united \| 4 \| 4 \| 1992, 2006, 2009, 2010 \| 1983, 1991, 1994, 2003 row 4 : tottenham hotspur \| 4 \| 3 \| 1971, 1973, 1999, 2008 \| 1982, 2002, 2009 row 5 : chelsea \| 4 \| 2 \| 1965, 1998, 2005, 2007 \| 1972, 2008 row 6 : nottingham forest \| 4 \| 2 \| 1978, 1979, 1989, 1990 \| 1980, 1992 row 7 : leicester city \| 3 \| 2 \| 1964, 1997, 2000 \| 1965, 1999 row 8 : manchester city \| 3 \| 1 \| 1970, 1976, 2014 \| 1974 row 9 : arsenal \| 2 \| 5 \| 1987, 1993 \| 1968, 1969, 1988, 2007, 2011 row 10 : norwich city \| 2 \| 2 \| 1962, 1985 \| 1973, 1975 row 11 : birmingham city \| 2 \| 1 \| 1963, 2011 \| 2001 row 12 : wolverhampton wanderers \| 2 \| 0 \| 1974, 1980 \| None row 13 : west bromwich albion \| 1 \| 2 \| 1966 \| 1967, 1970 row 14 : middlesbrough \| 1 \| 2 \| 2004 \| 1997, 1998 row 15 : queens park rangers \| 1 \| 1 \| 1967 \| 1986 row 16 : leeds united \| 1 \| 1 \| 1968 \| 1996 row 17 : stoke city \| 1 \| 1 \| 1972 \| 1964 row 18 : luton town \| 1 \| 1 \| 1988 \| 1989 row 19 : sheffield wednesday \| 1 \| 1 \| 1991 \| 1993 row 20 : swindon town \| 1 \| 0 \| 1969 \| None row 21 : oxford united \| 1 \| 0 \| 1986 \| None row 22 : blackburn rovers \| 1 \| 0 \| 2002 \| None row 23 : swansea city \| 1 \| 0 \| 2013 \| None row 24 : west ham united \| 0 \| 2 \| None \| 1966, 1981 row 25 : everton \| 0 \| 2 \| None \| 1977, 1984 row 26 : bolton wanderers \| 0 \| 2 \| None \| 1995, 2004 row 27 : sunderland \| 0 \| 2 \| None \| 1985, 2014 row 28 : rotherham united \| 0 \| 1 \| None \| 1961 row 29 : rochdale \| 0 \| 1 \| None \| 1962 row 30 : newcastle united \| 0 \| 1 \| None \| 1976 row 31 : southampton \| 0 \| 1 \| None \| 1979 row 32 : oldham athletic \| 0 \| 1 \| None \| 1990 row 33 : tranmere rovers \| 0 \| 1 \| None \| 2000 row 34 : wigan athletic \| 0 \| 1 \| None \| 2006 row 35 : cardiff city \| 0 \| 1 \| None \| 2012 row 36 : bradford city \| 0 \| 1 \| None \| 2013 ] Execute this SQL based on the above table: select team order by runners-up desc limit 1	arsenal
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 12 august 1998 \| asim ferhatovic hase stadium, \| faroe islands \| 1–0 \| 1–0 \| uefa euro 2000 qualifying row 2 : 2 \| 14 october 1998 \| zalgiris stadium, vilnius \| lithuania \| 2–2 \| 2–4 \| uefa euro 2000 qualifying row 3 : 3 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 1–1 \| 4–1 \| uefa euro 2000 qualifying row 4 : 4 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 2–1 \| 4–1 \| uefa euro 2000 qualifying row 5 : 5 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 3–1 \| 4–1 \| uefa euro 2000 qualifying row 6 : 6 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 4–1 \| 4–1 \| uefa euro 2000 qualifying row 7 : 7 \| 2 september 2000 \| asim ferhatovic hase stadium, \| spain \| 1-1 \| 1–2 \| 2002 fifa world cup qualification row 8 : 8 \| 15 august 2001 \| asim ferhatovic hase stadium, \| malta \| 1–0 \| 2–0 \| friendly match row 9 : 9 \| 15 august 2001 \| asim ferhatovic hase stadium, \| malta \| 2–0 \| 2–0 \| friendly match row 10 : 10 \| 7 october 2001 \| asim ferhatovic hase stadium, \| liechtenstein \| 2–0 \| 5–0 \| 2002 fifa world cup qualification row 11 : 11 \| 7 october 2001 \| asim ferhatovic hase stadium, \| liechtenstein \| 4–0 \| 5–0 \| 2002 fifa world cup qualification row 12 : 12 \| 11 october 2002 \| asim ferhatovic hase stadium, \| germany \| 1–0 \| 1–1 \| friendly match row 13 : 13 \| 13 february 2003 \| millennium stadium, cardiff \| wales \| 1–0 \| 2–2 \| friendly match row 14 : 14 \| 2 april 2003 \| parken stadium, copenhagen \| denmark \| 2–0 \| 2–0 \| uefa euro 2004 qualifying ] Execute this SQL based on the above table: select goal order by goal desc limit 1	14.0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select site group by site order by count ( date ) desc limit 1	memorial stadium • lincoln, nebraska
[ header: pos \| team \| total \| high \| low \| average \| change row 1 : 1 \| honda motor \| 13178 \| 3305 \| 402 \| 879 \| -11.9% row 2 : 2 \| sc tottori \| 12281 \| 2124 \| 401 \| 819 \| None row 3 : 3 \| ntt west kumamoto \| 10394 \| 1378 \| 324 \| 693 \| None row 4 : 4 \| ehime fc \| 9896 \| 1250 \| 348 \| 660 \| None row 5 : 5 \| tochigi sc \| 9723 \| 1141 \| 285 \| 648 \| -38.2% row 6 : 6 \| otsuka pharmaceuticals \| 8975 \| 2391 \| 284 \| 598 \| +18.4% row 7 : 7 \| ykk fc \| 8093 \| 2477 \| 198 \| 540 \| None row 8 : 8 \| sony sendai \| 7817 \| 886 \| 342 \| 521 \| -52.3% row 9 : 9 \| yokogawa fc \| 7334 \| 1198 \| 240 \| 489 \| -30.4% row 10 : 10 \| alo's hokuriku \| 6380 \| 1801 \| 180 \| 425 \| -12.1% row 11 : 11 \| jatco fc \| 6329 \| 1075 \| 167 \| 422 \| -36.7% row 12 : 12 \| sagawa express \| 5365 \| 1054 \| 48 \| 358 \| None row 13 : 13 \| denso sc \| 5344 \| 831 \| 119 \| 356 \| -17.7% row 14 : 14 \| kyoken kyoto \| 5262 \| 468 \| 203 \| 351 \| -9.0% row 15 : 15 \| shizuoka sangyo university \| 4013 \| 803 \| 101 \| 268 \| -48.8% row 16 : 16 \| kokushikan university \| 3298 \| 414 \| 54 \| 220 \| -28.3% row 17 : None \| league total \| 123682 \| 3305 \| 48 \| 515 \| -42.8% ] Execute this SQL based on the above table: select team where low > ( select low where team = 'shizuoka sangyo university' ) order by low limit 1	denso sc
[ header: rank \| hospital \| city \| county \| # beds \| type of hospital row 1 : 4 \| sonoma developmental center \| eldridge \| sonoma \| 1300 \| mental health row 2 : 6 \| fairview developmental center \| costa mesa \| orange \| 1218 \| mental health row 3 : 7 \| porterville developmental center \| porterville \| tulare \| 1210 \| mental health row 4 : 10 \| veterans home of california \| yountville \| napa \| 1100 \| veteran admin row 5 : 11 \| metropolitan state hospital \| norwalk \| los angeles \| 1096 \| mental health row 6 : 12 \| va palo alto health care system \| palo alto \| santa clara \| 967 \| veteran admin row 7 : 13 \| cedars-sinai medical center \| west hollywood \| los angeles \| 952 \| general acute care row 8 : 14 \| loma linda university medica center \| loma linda \| san bernardino \| 822 \| university/teaching row 9 : 15 \| ucla medical center \| los angeles \| los angeles \| 668 \| general acute care row 10 : 18 \| ucsd medical center \| san diego \| san diego \| 594 \| university/teaching row 11 : 19 \| ucsf medical center mount zion \| san francisco \| san francisco \| 579 \| general acute care row 12 : 20 \| ucd medical center \| sacramento \| sacramento \| 577 \| university/teaching row 13 : 23 \| harbor ucla medical center \| torrance \| los angeles \| 553 \| general acute care row 14 : 24 \| mission hospital regional medical center \| mission viejo \| orange \| 552 \| general acute care row 15 : 25 \| alta bates summit medical center \| berkeley \| alameda \| 551 \| general acute care row 16 : 26 \| san francisco general hospital \| san francisco \| san francisco \| 550 \| general acute care row 17 : 27 \| ucsf medical center at parn \| san francisco \| san francisco \| 536 \| general acute care row 18 : 29 \| santa clara valley medical center \| san jose \| santa clara \| 524 \| general acute care row 19 : 30 \| scripps mercy hospital \| san diego \| san diego \| 523 \| general acute care row 20 : 31 \| huntington memorial hospital \| pasadena \| los angeles \| 522 \| general acute care row 21 : 33 \| grossmont hospital \| la mesa \| san diego \| 481 \| general acute care row 22 : 34 \| doctors medical center \| modesto \| stanislaus \| 465 \| general acute care row 23 : 35 \| st. bernardine medical \| san bernardino \| san bernardino \| 463 \| general acute care row 24 : 36 \| uci medical center \| orange \| orange \| 462 \| general acute care row 25 : 37 \| stanford medical center \| stanford \| santa clara \| 460 \| general acute care row 26 : 39 \| methodist hospital \| arcadia \| los angeles \| 455 \| general acute care row 27 : 40 \| providence st. joseph \| burbank \| los angeles \| 455 \| general acute care row 28 : 42 \| agnews developmental center \| san jose \| santa clara \| 450 \| mental health row 29 : 43 \| jewish home \| san francisco \| san francisco \| 450 \| nursing homes row 30 : 44 \| st. joseph hospital orange \| orange \| orange \| 448 \| general acute care row 31 : 45 \| presbyterian intercommunity \| whittier \| los angeles \| 441 \| general acute care ] Execute this SQL based on the above table: select count ( hospital ) where city = 'torrance'	1
[ header: \| \| \| \| \| row 1 : world record \| snatch \| akakios kakias \| 188 kg \| athens, greece \| 27 november 1999 row 2 : world record \| clean & jerk \| szymon kołecki \| 232 kg \| sofia, bulgaria \| 29 april 2000 row 3 : world record \| total \| akakios kakias \| 412 kg \| athens, greece \| 27 november 1999 row 4 : asian record \| snatch \| kourosh bagheri ( \| 187 kg \| sydney, australia \| 24 september 2000 row 5 : asian record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 6 : asian record \| total \| kourosh bagheri ( \| 407 kg \| antalya, turkey \| 9 november 2001 row 7 : games record \| snatch \| bakhyt akhmetov \| 185 kg \| busan, south korea \| 8 october 2002 row 8 : games record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 9 : games record \| total \| bakhyt akhmetov \| 400 kg \| busan, south korea \| 8 october 2002 ] Execute this SQL based on the above table: select count ( ) where = '400 kg'	0
[ header: religious group \| population % \| growth (1991-2001) \| sex ratio (total) \| literacy (%) \| work participation (%) \| sex ratio (rural) \| sex ratio (urban) \| sex ratio (child) row 1 : hindu \| 80.46% \| 20.3% \| 931 \| 65.1% \| 40.4% \| 944 \| 894 \| 925 row 2 : muslim \| 13.43% \| 29.3% \| 936 \| 59.1% \| 31.3% \| 953 \| 907 \| 950 row 3 : christian \| 2.34% \| 22.6% \| 1009 \| 80.3% \| 39.7% \| 1001 \| 1026 \| 964 row 4 : sikh \| 1.87% \| 18.2% \| 893 \| 69.4% \| 37.7% \| 895 \| 886 \| 786 row 5 : buddhist \| 0.77% \| 18.2% \| 953 \| 72.7% \| 40.6% \| 958 \| 944 \| 942 row 6 : animist, others \| 0.72% \| 103.1% \| 992 \| 47.0% \| 48.4% \| 995 \| 966 \| 976 row 7 : jain \| 0.41% \| 26.0% \| 940 \| 94.1% \| 32.9% \| 937 \| 941 \| 870 ] Execute this SQL based on the above table: select sex ratio (total) where growth (1991-2001) = '22.6%'	1009
[ header: material \| formula \| refractive index(es) 589.3 nm \| dispersion 431 - 687 nm \| hardness (mohs' scale) \| density (g/cm3) \| thermal cond. \| state of the art row 1 : diamond \| c \| 2.417 \| 0.044 \| 10 \| 3.52 \| excellent \| (natural) row 2 : glasses \| silica with pb, al, \| ~ 1.6 \| > 0.020 \| < 6 \| 2.4 - 4.2 \| poor \| 1700 - row 3 : white sapphire \| al2o3 \| 1.762 - 1.770 \| 0.018 \| 9 \| 3.97 \| poor \| 1900-1947 row 4 : spinel \| mgo·al2o3 \| 1.727 \| 0.02 \| 8 \| ~ 3.6 \| poor \| 1920-1947 row 5 : rutile \| tio2 \| 2.62 - 2.9 \| 0.33 \| ~ 6 \| 4.25 \| poor \| 1947-1955 row 6 : strontium titanate \| srtio3 \| 2.41 \| 0.19 \| 5.5 \| 5.13 \| poor \| 1955-1970 row 7 : yag \| y3al5o12 \| 1.83 \| 0.028 \| 8.25 \| 4.55 - 4.65 \| poor \| 1970-1975 row 8 : ggg \| gd3ga5o12 \| 1.97 \| 0.045 \| 7 \| 7.02 \| poor \| 1973-1975 row 9 : cubic zirconia \| zro2(+ rare earths \| ~ 2.2 \| ~ 0.06 \| ~ 8.3 \| ~ 5.7 \| poor \| 1976 - row 10 : moissanite \| sic \| 2.648 - 2.691 \| 0.104 \| 8.5-9.25 \| 3.2 \| high \| 1998 - row 11 : quartz \| silica \| 1.543 - 1.554 \| None \| 7- \| 2.50 - 2.65 \| None \| ancient ] Execute this SQL based on the above table: select count ( thermal cond. ) where density (g/cm3) in ( select density (g/cm3) order by density (g/cm3) desc limit 10 ) and formula = 'y3al5o12'	1
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1 may 2000 \| rasmee dhandu \| maldives \| 1-1 \| 1-1 \| 2000 mff golden jubile row 2 : 2 \| 25 august 2000 \| ho chi minh city, vietnam \| vietnam \| 2-1 \| 2-2 \| 2000 hcm cup row 3 : 3 \| 28 march 2001 \| colombo, sri lan \| cambodia \| 1-0 \| 1-0 \| friendly row 4 : 5 \| 30 may 2001 \| suphachalasai stadium, ban \| pakistan \| 1-0 \| 3-1 \| 2002 fifa world cup qualification (af row 5 : 6 \| 30 may 2001 \| supachalasai stadium \| pakistan \| 3-0 \| 3-1 \| 2002 fifa world cup qualification (af row 6 : 7 \| 4 april 2002 \| sugathadasa stadium, colo \| maldives \| 1-0 \| 1-0 \| friendly row 7 : 10 \| 3 december 2003 \| sugathadasa stadium, colo \| laos \| 2-0 \| 3-0 \| 2006 fifa world cup qualification (af row 8 : 12 \| 12 april 2006 \| ma aziz stadium, chittagong \| nepal \| 1-0 \| 1-1 \| 2006 afc challenge cup row 9 : 13 \| 24 march 2007 \| sugathadasa stadium, colo \| malaysia \| 1-4 \| 1-4 \| friendly row 10 : 14 \| 2 april 2008 \| chungshan stadium, tai \| guam \| 5-1 \| 5-1 \| 2008 afc challenge cup qualification row 11 : 15 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 1-0 \| 7-1 \| 2008 afc challenge cup qualification row 12 : 16 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 4-1 \| 7-1 \| 2008 afc challenge cup qualification row 13 : 17 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 7-1 \| 7-1 \| 2008 afc challenge cup qualification row 14 : 19 \| 2 august 2008 \| gachibowli athletic stadium, \| myanmar \| 1-1 \| 1-3 \| 2008 afc challenge cup row 15 : 20 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 1-0 \| 5-1 \| 2010 afc challenge cup qualification row 16 : 21 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 3-0 \| 5-1 \| 2010 afc challenge cup qualification row 17 : 22 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 4-0 \| 5-1 \| 2010 afc challenge cup qualification row 18 : 23 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 5-0 \| 5-1 \| 2010 afc challenge cup qualification row 19 : 24 \| 6 april 2009 \| sugathadasa stadium, colo \| chinese taipei \| 1-0 \| 2-1 \| 2010 afc challenge cup qualification ] Execute this SQL based on the above table: select date order by # asc limit 1	1 may 2000
[ header: year \| league \| record \| finish \| manager \| playoffs \| notes row 1 : 1947 \| sunset league \| 69-69 \| 4th \| thomas lloyd \| None \| None row 2 : 1955 \| california league \| 40-106 \| 8th \| leonard noren \| None \| channel cities moved to reno july row 3 : 1956 \| california league \| 73-67 \| 4th \| ray perry \| lost in 1st round \| None row 4 : 1957 \| california league \| 79-59 \| 2nd \| ray perry \| lost league finals \| None row 5 : 1958 \| california league \| 68-69 \| 6th \| ray perry \| None \| None row 6 : 1959 \| california league \| 81-58 \| 2nd \| ray perry \| None \| None row 7 : 1960 \| california league \| 89-51 \| 1st \| tom saffell \| league champs \| None row 8 : 1961 \| california league \| 97-43 \| 1st \| roy smalley \| league champs \| None row 9 : 1962 \| california league \| 70-68 \| 4th \| roy smalley \| lost league finals \| None row 10 : 1963 \| california league \| 71-69 \| 5th \| tom saffell \| None \| None row 11 : 1964 \| california league \| 66-71 \| 6th \| tom saffell / har \| none \| None row 12 : 1966 \| california league \| 69-71 \| 4th (t) \| phil cavarretta \| None \| None row 13 : 1967 \| california league \| 56-82 \| 8th \| phil cavarretta \| None \| None row 14 : 1968 \| california league \| 67-72 \| 5th \| clay bryant \| None \| None row 15 : 1969 \| california league \| 72-68 \| 3rd (t) \| ken aspromonte \| None \| None row 16 : 1970 \| california league \| 79-61 \| 2nd \| pinky may \| none \| None row 17 : 1971 \| california league \| 64-75 \| 7th \| pinky may \| None \| None row 18 : 1972 \| california league \| 50-88 \| 8th \| lou klimchock \| None \| None row 19 : 1973 \| california league \| 70-70 \| 4th (t) \| lou klimchock \| None \| None row 20 : 1976 \| california league \| 75-62 \| 3rd \| johnny goryl \| league champs \| None row 21 : 1977 \| california league \| 59-81 \| 5th \| glenn ezell \| None \| None row 22 : 1978 \| california league \| 62-78 \| 5th \| eddie watt \| None \| None row 23 : 1979 \| california league \| 74-67 \| 3rd \| eddie watt \| None \| None row 24 : 1980 \| california league \| 75-66 \| 2nd (t) \| jack maloof \| None \| None row 25 : 1981 \| california league \| 81-58 \| 2nd \| jack maloof \| lost in 1st round \| None row 26 : 1988 \| california league \| 39-103 \| 10th \| nate oliver \| None \| None row 27 : 1989 \| california league \| 68-74 \| 6th \| eli grba \| None \| None row 28 : 1992 \| california league \| 65-71 \| 8th \| gary jones \| None \| None ] Execute this SQL based on the above table: select playoffs where year = ( select year where finish = '6th' ) - 1	lost league finals
[ header: region \| country \| location \| size (m) \| payload (metric tonnes) \| degrees of freedom \| x horiz disp (mm) \| y horiz disp (mm) \| z vert disp (mm) \| x horiz vel (mm/s) \| y horiz vel (mm/s) \| z vert vel (mm/s) \| x horiz accel (m/s2) \| y horiz accel (m/s2) \| z vert accel (m/s2) \| max freq (hz) \| details checked row 1 : asia \| china \| xi'a university of architecture & \| 2 x 2 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : asia \| japan \| hitachi engineering corp \| 4 x 4 \| 20 \| 1 \| ±150 \| None \| None \| ±750 \| None \| None \| ±20 \| None \| None \| 30 \| None row 3 : asia \| japan \| ishikawajima harima \| 4.5 x 4.5 \| 35 \| 6 \| ±100 \| ±100 \| ±67 \| ±750 \| ±750 \| ±500 \| ±15 \| ±15 \| ±10 \| 50 \| None row 4 : asia \| japan \| kumagai-gumi corp \| 5 x 5 \| 64 \| 6 \| ±80 \| ±260 \| ±50 \| ±600 \| ±1500 \| ±500 \| ±30 \| ±10 \| ±10 \| 70 \| None row 5 : asia \| japan \| ministry of construction \| 6 x 8 \| 100 \| 2 \| ±75 \| None \| None \| ±600 \| None \| None \| ±7 \| None \| None \| 30 \| None row 6 : asia \| japan \| shimizu corporation \| 4 x 4 \| 20 \| 3 \| ±200 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| None row 7 : asia \| japan \| tobishima corp ltd \| 4 x 4 \| 20 \| 2 \| ±75 \| None \| None \| None \| None \| None \| ±15 \| None \| None \| 30 \| None row 8 : canada \| canada \| university of british columbia \| 4 x 4 \| 30 \| 6 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 9 : europe \| france \| commissariat a l'energie \| 4 x 3 \| 20 \| 1 \| ±125 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| 27/01/2011 row 10 : europe \| italy \| european centre for training & research in earthquake engineering \| 5.6 x 7 \| 140 \| 1 \| ±500 \| None \| None \| ±2200 \| None \| None \| 59 \| None \| None \| 50 \| None row 11 : europe \| italy \| european centre for training & research in earthquake engineering \| 1.6 x 4.4 \| 5000 (vertical load) \| 5 \| ±500 \| ±265 \| 140 \| ±2200 \| ±600 \| ±250 \| 18 \| None \| None \| 20 \| None row 12 : europe \| spain \| cedex \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 13 : usa \| colorado \| anco engineers, inc boulder, colora \| 3 x 3 \| 10 \| 3 \| ±200 \| ±200 \| ±200 \| ±2000 \| ±2000 \| ±2000 \| ±30 \| ±30 \| ±30 \| 40 \| 16/10/2012 ] Execute this SQL based on the above table: select max freq (hz) where location = 'kumagai-gumi corp ltd'	70
[ header: position \| song title \| artist \| sales \| highest position row 1 : 1 \| unchained melody/white cliffs \| robson green & jerome flyn \| 1,844,000 \| 1 row 2 : 2 \| gangsta's paradise \| coolio featuring l.v \| 1,110,000 \| 1 row 3 : 3 \| i believe/up on the roof \| robson green & jerome flyn \| 1,049,000 \| 1 row 4 : 4 \| back for good \| take that \| 960,000 \| 1 row 5 : 5 \| think twice \| celine dion \| 928,000 \| 1 row 6 : 6 \| fairground \| simply red \| 782,000 \| 1 row 7 : 7 \| you are not alone \| michael jackson \| 714,000 \| 1 row 8 : 8 \| earth song \| michael jackson \| 802,000 \| 1 row 9 : 9 \| missing \| everything but the girl \| 696,000 \| 3 row 10 : 10 \| wonderwall \| oasis \| 665,000 \| 2 row 11 : 11 \| boom boom boom \| outhere brothers \| 652,000 \| 1 row 12 : 12 \| country house \| blur \| 642,000 \| 1 row 13 : 13 \| father and son \| boyzone \| 620,000 \| 2 row 14 : 14 \| don't stop (wiggle wiggle \| outhere brothers \| 617,000 \| 1 row 15 : 15 \| boombastic \| shaggy \| 557,000 \| 1 row 16 : 16 \| cotton eye joe \| rednex \| 512,000 \| 1 row 17 : 17 \| set you free \| n-trance \| 503,000 \| 2 row 18 : 18 \| living next door to alice \| smokie featuring roy ch \| 495,000 \| 3 row 19 : 19 \| hold me, thrill me, kiss me, kill \| u2 \| 471,000 \| 2 row 20 : 20 \| roll with it \| oasis \| 456,000 \| 2 row 21 : 21 \| guaglione \| perez 'prez' prado \| 445,000 \| 2 row 22 : 22 \| i'll be there for you \| the rembrandts \| 421,000 \| 3 row 23 : 23 \| two can play that game \| bobby brown \| 413,000 \| 3 row 24 : 24 \| here comes the hotstepper \| ini kamoze \| 407,000 \| 4 row 25 : 25 \| shy guy \| diana king \| 405,000 \| 2 row 26 : 26 \| it's oh so quiet \| bjork \| 404,000 \| 4 row 27 : 27 \| never forget \| take that \| 403,000 \| 1 row 28 : 28 \| don't give me your life \| alex party \| 395,000 \| 2 row 29 : 29 \| waterfalls \| tlc \| 355,000 \| 4 row 30 : 30 \| scatman (ski ba bop ba \| scatman john \| 352,000 \| 2 row 31 : 31 \| some might say \| oasis \| 346,000 \| 1 row 32 : 32 \| you'll see \| madonna \| 342,000 \| 5 row 33 : 33 \| thunder \| east 17 \| 339,000 \| 4 row 34 : 34 \| stayin' alive \| n-trance featuring ricardo \| 335,000 \| 2 row 35 : 35 \| i'd lie for you (and that \| meat loaf \| 334,000 \| 2 row 36 : 36 \| common people \| pulp \| 326,000 \| 2 row 37 : 37 \| fantasy \| mariah carey \| 323,000 \| 4 row 38 : 38 \| i've got a little something for \| mn8 \| 317,000 \| 2 row 39 : 39 \| kiss from a rose/i'm alive \| seal \| 310,000 \| 4 row 40 : 40 \| dreamer \| livin' joy \| 303,000 \| 1 ] Execute this SQL based on the above table: select count ( artist ) where sales > 111	40
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : winner \| 1 \| 20 july 1981 \| bastad, sweden \| clay \| anders jarryd \| 6-2, 6-3 row 2 : runner-up \| 1 \| 21 september 1981 \| bordeaux, france \| clay \| andres gomez \| 6-7, 6-7, 1-6 row 3 : winner \| 2 \| 10 june 1985 \| bologna, italy \| clay \| claudio panatta \| 6-2, 6-0 row 4 : winner \| 3 \| 9 september 1985 \| palermo, italy \| clay \| joakim nystrom \| 6-2, 6-0 row 5 : winner \| 4 \| 23 september 1985 \| barcelona, spain \| clay \| mats wilander \| 0-6, 6-2, 3-6, row 6 : winner \| 5 \| 10 february 1986 \| metz, france \| indoor \| broderick dyke \| 6-4, 6-3 row 7 : runner-up \| 2 \| 28 april 1986 \| indianapolis, u.s \| clay \| andres gomez \| 4-6, 6-7(1-7) row 8 : runner-up \| 3 \| 28 july 1986 \| washington, d.c., \| clay \| karel novacek \| 1-6, 6-7(4-7) row 9 : runner-up \| 4 \| 8 september 1986 \| geneva, switzerland \| clay \| henri leconte \| 5-7, 3-6 ] Execute this SQL based on the above table: select max ( no. )	5.0
[ header: date \| opponent \| score \| leading scorer \| attendance \| record row 1 : may 17 \| @ indiana \| 53-64 \| nakia sanford (14) \| 10533 \| 0-1 row 2 : may 31 \| vs. los angeles \| 59-70 \| monique currie (15) \| 11517 \| 2-3 row 3 : june 3 \| @ phoenix \| 93-98 \| alana beard (33) \| 7561 \| 2-4 row 4 : june 8 \| @ connecticut \| 79-87 \| monique currie (28) \| 7174 \| 2-6 row 5 : june 11 \| vs. sacramento \| 76-79 \| taj mcwilliam \| 6146 \| 2-7 row 6 : june 13 \| @ chicago \| 64-57 \| alana beard (22) \| 2600 \| 3-7 row 7 : june 18 \| @ houston \| 67-63 \| alana beard (23) \| 7054 \| 4-7 row 8 : june 20 \| vs. atlanta \| 72-61 \| alana beard (18) \| 7448 \| 5-7 row 9 : june 29 \| @ seattle \| 49-64 \| alana beard (16) \| 7965 \| 6-9 row 10 : july 1 \| @ sacramento \| 81-87 \| alana beard (31) \| 5705 \| 6-10 row 11 : july 8 \| vs. indiana \| 50-48 \| taj mcwilliam \| 7587 \| 7-11 row 12 : july 11 \| @ detroit \| 66-79 \| coco miller (15) \| 8596 \| 7-12 row 13 : july 13 \| vs. connecticut \| 69-64 \| nikki blue (13) \| 9610 \| 8-12 row 14 : july 17 \| @ new york \| 56-77 \| alana beard (15) \| 8344 \| 8-13 row 15 : july 20 \| vs. seattle \| 89-57 \| taj mcwilliam \| 8543 \| 9-14 row 16 : july 27 \| vs. connecticut \| 60-82 \| taj mcwilliam \| 9357 \| 10-16 row 17 : august 29 \| vs. chicago \| 75-79 \| alana beard (18) \| 10043 \| 10-17 row 18 : august 30 \| @ minnesota \| 78-92 \| alana beard (27) \| 6980 \| 10-18 row 19 : september 2 \| vs. indiana \| 68-79 \| alana beard (17) \| 7244 \| 10-19 row 20 : september 6 \| vs. detroit \| 69-84 \| monique currie (15) \| 9976 \| 10-20 row 21 : september 11 \| @ detroit \| 66-78 \| alana beard (16) monique \| 8145 \| 10-22 row 22 : september 13 \| @ connecticut \| 81-87 \| monique currie (23) \| 8652 \| 10-23 row 23 : september 14 \| vs. minnesota \| 70-96 \| alana beard (17) \| 10438 \| 10-24 ] Execute this SQL based on the above table: select opponent where attendance = 9976	vs. detroit
[ header: sport \| gold \| silver \| bronze \| total row 1 : athletics \| 14 \| 8 \| 10 \| 32 row 2 : weightlifting \| 9 \| 2 \| 1 \| 12 row 3 : swimming \| 8 \| 7 \| 5 \| 20 row 4 : taekwondo \| 7 \| 3 \| 2 \| 12 row 5 : boxing \| 7 \| 1 \| 3 \| 11 row 6 : judo \| 5 \| 3 \| 6 \| 14 row 7 : canoeing \| 5 \| 2 \| 3 \| 10 row 8 : sailing \| 4 \| 3 \| 1 \| 8 row 9 : sepak takraw \| 4 \| 0 \| 0 \| 4 row 10 : wrestling \| 3 \| 5 \| 4 \| 12 row 11 : rowing \| 3 \| 3 \| 3 \| 9 row 12 : gymnastic - artistic \| 3 \| 2 \| 3 \| 8 row 13 : fencing \| 3 \| 1 \| 9 \| 13 row 14 : petanque \| 3 \| 1 \| 2 \| 6 row 15 : cycling \| 2 \| 8 \| 4 \| 14 row 16 : paragliding \| 3 \| 1 \| 2 \| 6 row 17 : fin swimming \| 2 \| 3 \| 7 \| 12 row 18 : tennis \| 2 \| 3 \| 4 \| 9 row 19 : golf \| 2 \| 3 \| 0 \| 5 row 20 : water ski \| 2 \| 2 \| 1 \| 5 row 21 : ekuestrian \| 2 \| 2 \| 1 \| 5 row 22 : bridge \| 2 \| 1 \| 2 \| 5 row 23 : billiard & snooker \| 2 \| 1 \| 1 \| 4 row 24 : futsal \| 2 \| 0 \| 0 \| 2 row 25 : volleyball \| 2 \| 0 \| 0 \| 2 row 26 : shooting \| 1 \| 6 \| 5 \| 12 row 27 : badminton \| 1 \| 2 \| 6 \| 9 row 28 : gymnastic - aerobic \| 1 \| 1 \| 1 \| 3 row 29 : gymnastic - rhythmic \| 1 \| 1 \| 0 \| 2 row 30 : basketball \| 1 \| 1 \| 0 \| 2 row 31 : wushu \| 1 \| 0 \| 3 \| 4 row 32 : beach volleyball \| 1 \| 0 \| 2 \| 3 row 33 : chess \| 1 \| 0 \| 0 \| 1 row 34 : bowling \| 1 \| 0 \| 0 \| 1 row 35 : soft tennis \| 0 \| 4 \| 5 \| 9 row 36 : pencak silat \| 0 \| 4 \| 3 \| 7 row 37 : traditional boat race \| 0 \| 2 \| 5 \| 7 row 38 : karate-do \| 0 \| 2 \| 4 \| 6 row 39 : roller sport \| 0 \| 2 \| 2 \| 4 row 40 : wall climbing \| 0 \| 2 \| 1 \| 3 row 41 : archery \| 0 \| 1 \| 4 \| 5 row 42 : table tennis \| 0 \| 1 \| 2 \| 3 row 43 : synchronized swimming \| 0 \| 1 \| 1 \| 2 row 44 : softball \| 0 \| 1 \| 0 \| 1 row 45 : baseball \| 0 \| 0 \| 1 \| 1 row 46 : diving \| 0 \| 0 \| 1 \| 1 row 47 : total \| 109 \| 100 \| 120 \| 329 ] Execute this SQL based on the above table: select silver > 245 where sport = 'total'	0
[ header: name \| position \| birth date/age at start of campaign \| games in campaign \| club row 1 : erich burgener \| gk \| february 15, 1951 (age 31) \| 3 \| servette row 2 : roger berbig \| gk \| november 6, 1954 (age 27) \| 3 \| grasshoppers row 3 : charly in-albon \| df \| june 23, 1957 (age 25) \| 4 \| grasshoppers row 4 : heinz ludi \| df \| october 8, 1958 (age 23 \| 4 \| fc zurich row 5 : beat rietmann \| df \| october 24, 1961 (age 20 \| 2 \| fc st. gallen row 6 : andy egli \| df \| may 8, 1958 (age 24) \| 6 \| grasshoppers row 7 : alain geiger \| df \| november 5, 1960 (age 21) \| 4 \| servette row 8 : marco schallibaum \| df \| april 6, 1962 (age 20) \| 1 \| grasshoppers row 9 : marcel koller \| df \| november 11, 1960 (age 21) \| 2 (both as sub) \| grasshoppers row 10 : rene botteron \| mf \| october 17, 1954 (age 27 \| 1 \| 1. fc nuremberg fc row 11 : heinz hermann \| mf \| march 28, 1958 (age 24) \| 6 \| grasshoppers row 12 : roger wehrli \| mf \| march 18, 1956 (age 26) \| 6 \| grasshoppers row 13 : lucien favre \| mf \| november 2, 1957 (age 24) \| 5 (1 as sub) \| toulouse servette row 14 : alfred scheiwiler \| mf \| february 4, 1956 (age 26) \| 1 \| lausanne row 15 : erni maissen \| mf \| january 1, 1958 (age 24) \| 1 (as sub) \| fc zurich fc basel row 16 : michel decastel \| mf \| october 22, 1955 (age 26 \| 3 \| servette row 17 : ruedi elsener \| mf \| february 18, 1953 (age 29) \| 4 \| None row 18 : umberto barberis \| mf \| june 5, 1952 (age 30) \| 3 (1 as sub) \| as monaco servette row 19 : andre ladner \| mf \| may 20, 1962 (age 20) \| 1 \| grasshoppers row 20 : jean-paul brigger \| st \| december 14, 1957 (age 24) \| 2 (1 as sub) \| servette row 21 : hans-peter zwicker \| st \| april 7, 1960 (age 22) \| 2 (both as sub) \| fc zurich lausanne row 22 : claudio sulser \| st \| october 8, 1955 (age 26 \| 5 \| grasshoppers row 23 : beat sutter \| st \| december 12, 1962 (age 19) \| 2 (1 as sub) \| fc basel row 24 : raimondo ponte \| st \| april 4, 1955 (age 27) \| 4 \| grasshoppers row 25 : manfred braschler \| st \| october 8, 1958 (age 23 \| 2 \| fc st. gallen ] Execute this SQL based on the above table: select count ( * ) where name = 'raimondo ponte'	1
[ header: \| ship \| shipyard \| laid down \| launched \| completed \| fate row 1 : 白露 \| shiratsuyu \| sasebo naval arsenal \| 14 november 1933 \| 5 april 1935 \| 20 august 1936 \| collision 15 june 1944 row 2 : 時雨 \| shigure \| uraga dock company \| 9 december 1933 \| 18 may 1935 \| 7 september 1936 \| sunk in action 24 january row 3 : 村雨 \| murasame \| fujinagata shipyards \| 1 february 1934 \| 20 june 1935 \| 7 january 1937 \| sunk in action, 6 march 1943 row 4 : 夕立 \| yudachi \| sasebo naval arsenal \| 16 october 1934 \| 21 june 1936 \| 7 january 1937 \| sunk in action 13 november 1942 row 5 : 五月雨 \| samidare \| uraga dock company \| 19 december 1934 \| 6 july 1935 \| 29 january 1937 \| sunk in action 26 august 1944 row 6 : 春雨 \| harusame \| uraga dock company \| 3 february 1935 \| 21 september 1935 \| 26 august 1937 \| sunk in action 8 june 1944 row 7 : 山風 \| yamakaze \| uraga dock company \| 25 may 1935 \| 21 february 1936 \| 30 june 1937 \| sunk in action 23 june 1942 row 8 : 江風 \| kawakaze \| fujinagata shipyards \| 25 april 1935 \| 1 november 1936 \| 30 april 1937 \| sunk in action 6 august 1943 row 9 : 海風 \| umikaze \| maizuru naval arsenal \| 4 may 1935 \| 27 november 1936 \| 31 may 1937 \| sunk in action 1 february 1944 row 10 : 涼風 \| suzukaze \| uraga dock company \| 9 july 1935 \| 11 march 1937 \| 31 august 1937 \| sunk in action 25 january ] Execute this SQL based on the above table: select count ( fate ) where launched = '21 february 1936'	1
[ header: # \| name \| position \| birthday \| size \| weight \| last team row 1 : 4 \| tom lipke \| guard/ forward \| 12.04.1986 \| 1,96 m \| 98 kg \| bremen roosters row 2 : 5 \| muamer taletovic \| guard \| 02.04.1976 \| 1,87 m \| 90 kg \| hertener lowen row 3 : 6 \| david watson \| guard \| 16.09.1988 \| 1,84 m \| 78 kg \| ssc karlsru row 4 : 7 \| brandon gary \| forward \| 26.01.1983 \| 2,03 m \| 100 kg \| iserlohn kangaroos row 5 : 8 \| theodis tarver \| center \| 09.07.1984 \| 2,06 m \| 110 kg \| bremen roosters row 6 : 9 \| stefan svitek \| forward \| 25.05.1977 \| 2,03 m \| 108 kg \| chemosvit svit row 7 : 10 \| michael baumer \| guard \| 08.08.1990 \| 1,80 m \| 68 kg \| bg karlsruhe row 8 : 11 \| clifford crawford \| guard \| 07.01.1981 \| 1,92 m \| 98 kg \| bremen roosters row 9 : 12 \| max roser \| guard/ forward \| 31.07.1988 \| 1,94 m \| 87 kg \| sg bad durkheim/spe row 10 : 13 \| edward seward \| center \| 20.10.1978 \| 2,06 m \| 110 kg \| aschersleben tiger row 11 : 14 \| julius parrisius \| guard \| 01.08.1985 \| 1,85 m \| 85 kg \| union shops rastatt row 12 : 15 \| leo niebuhr \| forward \| 04.08.1986 \| 2,06 m \| 88 kg \| sg braunschweig row 13 : 16 \| alexander rueck \| guard \| 24.03.1984 \| 1,89 m \| 85 kg \| union shops rastatt row 14 : 17 \| matthias hurst \| forward/ center \| 06.10.1989 \| 2,04 m \| 86 kg \| bg karlsruhe ] Execute this SQL based on the above table: select position group by position order by count ( * ) desc limit 1	guard
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined mac row 1 : delaware valley college \| doylestown, pennsyl \| aggies \| 1917 \| private/non-sectarian \| 2241 \| 1965 row 2 : desales university \| center valley, pennsylvania \| bulldogs \| 1965 \| private/catholic \| 3199 \| 1997 row 3 : eastern university \| st. davids, penn \| eagles \| 1952 \| private/baptist \| 4235 \| 2008 row 4 : fairleigh dickinson university-flor \| madison, new jersey \| devils \| 1942 \| private/non-sectarian \| 3288 \| 1977 row 5 : king's college \| wilkes-barre, penn \| monarchs \| 1946 \| private/catholic \| 2725 \| 1977 row 6 : manhattanville college \| purchase, new york \| valiants \| 1841 \| private/non-sectarian \| 2695 \| 2007 row 7 : misericordia university \| dallas, pennsyl \| cougars \| 1924 \| private/catholic \| 2830 \| 2008 row 8 : wilkes university \| wilkes-barre, penn \| colonels \| 1933 \| private/non-sectarian \| 5136 \| 1946 ] Execute this SQL based on the above table: select count ( institution ) where institution > 1239	8
[ header: party/electoral alliance \| seats \| change \| votes \| % row 1 : radical civic union (ucr) \| 98 \| 6 \| 618411 \| 42.70% row 2 : independent socialist \| 15 \| 9 \| 110792 \| 7.70% row 3 : conservative \| 12 \| -2 \| 153826 \| 10.60% row 4 : democratic (cordoba province) \| 7 \| 1 \| None \| None row 5 : unified ucr (santa \| 4 \| -7 \| 53221 \| 3.70% row 6 : liberal (tucuman province) \| 4 \| -2 \| 39543 \| 2.70% row 7 : democratic progressive \| 3 \| 3 \| 136121 \| 9.40% row 8 : antipersonalist ucr \| 3 \| -2 \| 47891 \| 3.30% row 9 : autonomist party of corrientes \| 2 \| -3 \| 17152 \| 1.20% row 10 : lencinist ucr ( \| 1 \| None \| 19375 \| 1.30% row 11 : socialist \| 1 \| -3 \| 123734 \| 8.50% row 12 : others \| 4 \| None \| 127601 \| 8.60% row 13 : invalid votes \| 4 \| None \| 39868 \| 2.70% row 14 : total \| 158 \| None \| 1487535 \| 100.00% ] Execute this SQL based on the above table: select party/electoral alliance order by seats desc limit 1	total
[ header: week \| date \| opponent \| home/away \| result \| bye row 1 : 1 \| february 8 \| new orleans voodoo \| home \| l 42-34 \| 0 row 2 : 2 \| february 15 \| dallas desperados \| away \| l 51-47 \| 0 row 3 : 3 \| february 21 \| columbus destroyers \| home \| w 56-34 \| 0 row 4 : 4 \| february 29 \| tampa bay storm \| away \| l 40-37 \| 0 row 5 : 5 \| march 7 \| chicago rush \| home \| w 53-47 \| 0 row 6 : 6 \| march 13 \| columbus destroyers \| away \| l 43-41 \| 0 row 7 : 7 \| march 21 \| colorado crush \| home \| l 40-33 \| 0 row 8 : 8 \| march 28 \| austin wranglers \| away \| w 65-60 \| 0 row 9 : 9 \| april 4 \| dallas desperados \| home \| w 47-31 \| 0 row 10 : 10 \| None \| None \| week \| None \| 1 row 11 : 11 \| april 17 \| carolina cobras \| away \| l 63-59 \| 0 row 12 : 12 \| april 24 \| new york dragons \| home \| w 60-58 \| 0 row 13 : 13 \| may 1 \| colorado crush \| away \| l 58-40 \| 0 row 14 : 14 \| may 8 \| las vegas gladiators \| home \| l 63-35 \| 0 row 15 : 15 \| may 15 \| carolina cobras \| home \| l 46-43 \| 0 row 16 : 16 \| may 22 \| san jose sabercat \| away \| l 48-36 \| 0 row 17 : 17 \| may 30 \| new york dragons \| away \| l 69-54 \| 0 ] Execute this SQL based on the above table: select home/away order by home/away asc limit 1	away
[ header: round \| pick \| player \| position \| school/club team row 1 : 1 \| 8 \| eric fraser \| s \| central michigan row 2 : 2 \| 16 \| tristan black \| lb \| wayne state row 3 : 3 \| 24 \| john hashem \| ot \| regina row 4 : 4 \| 28 \| spencer armstrong \| wr \| air force row 5 : 4 \| 30 \| steve myddelton \| de \| st. francis xa row 6 : 4 \| 32 \| scott mchenry \| sb \| saskatchewan row 7 : 5 \| 40 \| osie ukwuoma \| dl \| queen's row 8 : 6 \| 48 \| john kanaroski \| wr \| regina ] Execute this SQL based on the above table: select pick where pick > 18	24.0, 28.0, 30.0, 32.0, 40.0, 48.0
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select hometown where hometown in ( 'panama city' , 'panama city' ) order by height desc limit 1	panama city
[ header: institution \| location \| established \| gained university status \| vice-chancellor \| total number of students \| research funding (£,000) row 1 : birkbeck, university of lon \| london \| 1823 \| 1920 \| professor david latchman \| 19020 \| 9985 row 2 : university of east anglia \| norwich \| 1963 \| 1963 \| professor edward acton \| 19585 \| 16482 row 3 : university of essex \| colchester \| 1964 \| 1964 \| professor anthony forster \| 11690 \| 9967 row 4 : goldsmiths, university of london \| london \| 1891 \| 1904 \| dr pat loughrey \| 7615 \| 8539 row 5 : institute of education, university of london \| london \| 1902 \| 1932 \| professor chris husbands \| 7215 \| 7734 row 6 : university of lancaster \| lancaster \| 1964 \| 1964 \| professor mark smith \| 12695 \| 18640 row 7 : university of leicester \| leicester \| 1921 \| 1957 \| professor robert burgess \| 16160 \| 22225 row 8 : loughborough university \| loughborough \| 1909 \| 1966 \| professor robert allison \| 17825 \| 22398 row 9 : royal holloway, university of lon \| egham \| 1849 \| 1900 \| professor paul layzell (principal \| 7620 \| 13699 row 10 : soas, university of london \| london \| 1916 \| 1916 \| professor paul webley \| 4525 \| 7238 row 11 : university of sussex \| brighton \| 1961 \| 1961 \| professor michael farthing \| 12415 \| 16196 ] Execute this SQL based on the above table: select count ( * ) where location = 'brighton'	1
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select ( select id where score = 'w 9-8' ) < ( select id where score = 'l 11-13' )	0
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 30 \| 8:00 pm \| vs. alabama \| #9 \| georgia dome • atlanta, \| abc \| l 10-34 \| 70097 row 2 : september 6 \| 3:30 pm \| the citadel \| #22 \| memorial stadium • clemson, s \| None \| w 45-17 \| 76794 row 3 : september 13 \| 12:00 pm \| nc state \| #23 \| memorial stadium • clemson, s \| raycom \| w 27-9 \| 77071 row 4 : september 20 \| 1:00 pm \| sc state \| #21 \| memorial stadium • clemson, s \| None \| w 54-0 \| 78607 row 5 : september 27 \| 12:00 pm \| maryland \| #19 \| memorial stadium • clemson, s \| raycom \| l 17-20 \| 81500 row 6 : october 9 \| 7:45 pm \| at wake forest \| None \| bb&t field • winston- \| espn \| l 7-12 \| 33988 row 7 : october 18 \| 12:00 pm \| georgia tech \| None \| memorial stadium • clemson, s \| espn \| l 17-21 \| 81500 row 8 : november 1 \| 3:30 pm \| at boston college \| None \| alumni stadium • chestnut hill, ma (o \| espnu \| w 27-21 \| 41863 row 9 : november 8 \| 3:30 pm \| at #24 florida state \| None \| doak campbell stadium • tallahasse \| abc \| l 27-41 \| 77013 row 10 : november 15 \| 12:00 pm \| duke \| None \| memorial stadium • clemson, s \| raycom \| w 31-7 \| 76217 row 11 : november 22 \| 12:00 pm \| at virginia \| None \| scott stadium • charlottesville, \| raycom \| w 13-3 \| 51979 row 12 : november 29 \| 12:00 pm \| south carolina \| None \| memorial stadium • clemson, s \| espn2 \| w 31-14 \| 82456 row 13 : january 1, 2009 \| 1:00 pm \| vs. nebraska \| None \| jacksonville municipal stadium • jackson \| cbs \| l 21-26 \| 67282 ] Execute this SQL based on the above table: select result where id = ( select id where date = 'october 18' ) - 1	l 7-12
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select count ( team ) where laps down = -1	16
[ header: date \| race \| competition \| rider \| country \| location row 1 : february 9 \| tour of qatar, stage 3 \| uci asia tour \| tom boonen (bel) \| qatar \| mesaieed row 2 : february 11 \| tour of qatar, stage 5 \| uci asia tour \| tom boonen (bel) \| qatar \| madinat al shamal row 3 : february 18 \| tour of oman, stage 5 \| uci asia tour \| tom boonen (bel) \| oman \| sultan qaboos row 4 : march 11 \| tirreno-adriatico \| uci world ranking \| tom boonen (bel) \| italy \| montecatini terme row 5 : march 26 \| volta a catalunya \| uci protour \| davide malacarne (it \| spain \| cabaces row 6 : may 10 \| giro d'italia, stage \| uci world ranking \| wouter weylandt (bel) \| netherlands \| middelburg row 7 : may 13 \| giro d'italia, stage \| uci world ranking \| jerome pineau (fra) \| italy \| novi ligure row 8 : may 30 \| giro d'italia, premi \| uci world ranking \| jerome pineau (fra) \| italy \| None row 9 : may 30 \| tour of belgium, overall \| uci europe tour \| stijn devolder (bel) \| belgium \| None row 10 : june 23 \| halle-ingooigem \| uci europe tour \| jurgen van de walle (bel) \| belgium \| ingooigem row 11 : july 5 \| tour de france, stage 2 \| uci world ranking \| sylvain chavane \| belgium \| spa row 12 : july 10 \| tour de france, stage 7 \| uci world ranking \| sylvain chavane \| france \| les rousses row 13 : september 12 \| vuelta a espana, \| uci world ranking \| carlos barredo (esp) \| spain \| lagos de covadonga row 14 : october 3 \| circuit franco-belge, stage 4 \| uci europe tour \| wouter weylandt (bel) \| belgium \| tournai row 15 : october 10 \| g.p. beghelli \| uci europe tour \| dario cataldo (ita \| italy \| monteveglio ] Execute this SQL based on the above table: select count ( race ) where rider = 'tom boonen (bel)'	4
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select party where id = ( select id where party = 'jackson republican' ) - 1	crawford republican
[ header: # \| title \| type \| opening date \| closing date \| performances \| comment row 1 : 5 \| les miserables \| m \| march 12, 1987 \| may 18, 2003 \| 6680 \| 8 tony awards in 1987, including best row 2 : 10 \| rent \| m \| april 29, 1996 \| september 7, 2008 \| 5123 \| 4 tony awards in 1996, including best row 3 : 11 \| wicked \| m \| october 30, 2003 \| None \| 4333 \| currently running at the gershwin theatre row 4 : 12 \| miss saigon \| m \| april 11, 1991 \| january 28, 2001 \| 4092 \| 3 tony awards in 1991 4 drama desk row 5 : 23 \| avenue q \| m \| july 31, 2003 \| september 13, 2009 \| 2534 \| 3 tony awards in 2004, including best musical row 6 : 24 \| the producers \| m \| april 19, 2001 \| april 22, 2007 \| 2502 \| 12 tony awards in 2001, including best row 7 : 32 \| pippin \| m \| october 23, 1972 \| june 12, 1977 \| 1944 \| 5 tony awards in 1973 5 drama desk row 8 : 33 \| south pacific \| m \| april 7, 1949 \| january 16, 1954 \| 1925 \| 10 tony awards in 1950, including best row 9 : 45 \| ain't misbehavin' \| r \| may 9, 1978 \| february 21, 1982 \| 1604 \| 3 tony awards in 1978, including best row 10 : 56 \| grease \| m \| may 11, 1994 \| january 25, 1998 \| 1505 \| revival original production in 1972 (3,388 performances row 11 : 58 \| arsenic and old lace \| p \| january 10, 1941 \| june 17, 1944 \| 1444 \| revival in 1986 (221 performances) row 12 : 61 \| how to succeed in business without really trying \| m \| october 14, 1961 \| march 6, 1965 \| 1417 \| 7 tony awards in 1962, including best row 13 : 64 \| funny girl \| m \| march 26, 1964 \| july 1, 1967 \| 1348 \| grammy award for best score from an original row 14 : 67 \| billy elliot the musical \| m \| november 13, 2008 \| january 8, 2012 \| 1312 \| 10 tony awards in 2009, including best row 15 : 74 \| the king and i \| m \| march 29, 1951 \| march 20, 1954 \| 1246 \| 5 tony awards in 1952, including best row 16 : 92 \| butterflies are free \| p \| october 21, 1969 \| july 2, 1972 \| 1128 \| a tony award in 1970 ] Execute this SQL based on the above table: select sum ( performances ) where title in ( 'None' , 'the producers' )	2502.0
[ header: \| date \| opponents \| h / a \| result \| score \| attendance row 1 : 1 \| 29 august \| doncaster knights \| h \| w \| 30 - 14 \| 2232 row 2 : 2 \| 5 september \| london welsh \| h \| w \| 22 - 3 \| 2047 row 3 : 3 \| 11 september \| moseley \| a \| d \| 26 - 26 \| 751 row 4 : 4 \| 19 september \| birmingham & solihull \| h \| w \| 32 - 15 \| 1672 row 5 : 5 \| 26 september \| bristol \| a \| l \| 7 - 21 \| 4379 row 6 : 6 \| 3 october \| plymouth albion \| h \| w \| 46 - 13 \| 2439 row 7 : 7 \| 9 october \| bedford \| a \| l \| 25 - 32 \| 3243 row 8 : 8 \| 17 october \| rotherham titans \| h \| w \| 40 - 15 \| 1982 row 9 : 9 \| 22 october \| worcester warriors \| a \| w \| 23 - 21 \| 6928 row 10 : 10 \| 31 october \| esher \| h \| w \| 54 - 6 \| 1767 row 11 : 11 \| 7 november \| nottingham \| a \| w \| 36 - 10 \| 1637 row 12 : 12 \| 14 november \| london welsh \| a \| l \| 16 - 23 \| 1250 row 13 : 13 \| 21 november \| moseley \| h \| w \| 50 - 7 \| 1854 row 14 : None \| 28 november \| birmingham & solihull \| a \| None \| p - p \| None row 15 : 14 \| 5 december \| bristol \| h \| w \| 16 - 6 \| 2253 row 16 : 15 \| 15 december \| birmingham & solihull \| a \| w \| 61 - 28 \| 407 row 17 : None \| 26 december \| plymouth albion \| a \| None \| p - p \| None row 18 : 16 \| 2 january \| bedford blues \| h \| w \| 23 - 13 \| 3051 row 19 : 17 \| 8 january \| rotherham titans \| a \| l \| 18 - 19 \| 1067 row 20 : 18 \| 12 january \| plymouth albion \| a \| w \| 10 - 6 \| 2512 row 21 : 19 \| 30 january \| worcester warriors \| h \| l \| 30 - 33 \| 1976 row 22 : 20 \| 5 february \| esher \| a \| l \| 12 - 13 \| 1338 row 23 : 21 \| 13 february \| nottingham \| h \| w \| 40 - 0 \| 2486 row 24 : 22 \| 19 february \| doncaster knights \| a \| w \| 16 - 13 \| 1091 ] Execute this SQL based on the above table: select result where id = 5	l
[ header: # \| player \| σ points \| qual. \| final row 1 : 1 \| karel hromadka \| 9.5 \| 3 \| 6.5 row 2 : 2 \| jan schulz (czechos \| 9 \| 4 \| 5 row 3 : 3 \| erwin voellmy (switz \| 8.5 \| 3.5 \| 5 row 4 : 4 \| karl behting (latvia \| 8 \| 2 \| 6 row 5 : 4 \| georges renaud (france \| 8 \| 3 \| 5 row 6 : 4 \| roberto grau (argentina \| 8 \| 3.5 \| 4.5 row 7 : 4 \| george koltanowski (bel \| 8 \| 3.5 \| 4.5 row 8 : 8 \| giovanni cenni (ital \| 7.5 \| 1.5 \| 6 row 9 : 8 \| endre steiner (hungary) \| 7.5 \| 2 \| 5.5 row 10 : 8 \| otto zimmermann (switz \| 7.5 \| 2.5 \| 5 row 11 : 8 \| dawid daniuszewski (poland \| 7.5 \| 2.5 \| 5 row 12 : 8 \| karoly sterk (hungary \| 7.5 \| 3 \| 4.5 row 13 : 8 \| damian reca (argentina) \| 7.5 \| 3.5 \| 4 row 14 : 14-45 \| etc \| None \| None \| None ] Execute this SQL based on the above table: select ( select # where player = 'karoly sterk (hungary)' ) - ( select # where player = 'roberto grau (argentina)' )	4
[ header: # \| name \| office \| political party \| occupation row 1 : 1 \| ole olsen strø \| 1886-1901 \| None \| church bell ringer row 2 : 2 \| peder olai kleppe \| 1902-1919 \| None \| fisherman row 3 : 3 \| olai naustheller \| 1920-1925 \| None \| farmer row 4 : 4 \| mikkel nilsen birkel \| 1926-1935 \| None \| farmer row 5 : 5 \| magnus larssen \| 1935-1937 \| None \| school teacher row 6 : 6 \| salomon o. fagerbak \| 1938-1945 \| None \| fisherman row 7 : 7 \| salomon v. kalvenes \| 1946-1959 \| None \| fisherman row 8 : 8 \| rikard s. storebø \| 1960-1969 \| liberal party \| social security manager row 9 : 9 \| peder kalve \| 1970-1975 \| conservative party \| maritime pilot row 10 : 10 \| magnus stangeland \| 1976-1981 \| centre party \| school principal row 11 : 11 \| knut k. kalvenes \| 1982-1985 \| conservative party \| retailer row 12 : 12 \| hallvard møgster \| 1986-1989 \| christian democratic party \| captain row 13 : 13 \| inge bjarne storeb \| 1990-2001 \| conservative party \| bank manager row 14 : 14 \| olav p. arland \| 2001-2003 \| christian democratic party \| shipmaster row 15 : 15 \| helge andre njasta \| 2003- \| progress party \| student ] Execute this SQL based on the above table: select count ( occupation ) where name = 'mikkel nilsen birkeland'	1
[ header: position \| driver \| no. \| car \| entrant \| rd 1 \| rd 2 \| rd 3 \| rd 4 \| rd 5 \| rd 6 \| rd 7 \| rd 8 \| total row 1 : 1 \| greg crick \| 3 \| dodge viper gts ac \| crickcars.com \| 98 \| 108 \| 91 \| 72 \| 98 \| 96 \| 60 \| 90 \| 713 row 2 : 5 \| sven burchartz \| 90 \| porsche 996 gt3 \| cargraphic ag \| 32 \| 18 \| None \| 63 \| 57 \| 69 \| 114 \| 85.5 \| 438.5 row 3 : 6 \| david wall \| 38 \| porsche 996 gt3 r \| rds \| 32 \| 37.5 \| 63 \| None \| 80 \| 33 \| None \| 117 \| 362.5 row 4 : 7 \| john teulan \| 88 \| ferrari 360 challenge ferrari f430 challenge \| industry central - stahlwille \| 47 \| 48 \| 61 \| 77 \| None \| 48 \| 48 \| 19.5 \| 348.5 row 5 : 8 \| max twigg \| 18 & 17 \| porsche 996 gt3 \| twigg waste management luxton \| 45 \| 33 \| 51 \| 14 \| 37 \| 57 \| None \| 66 \| 303 row 6 : 9 \| d'arcy russell \| 7 \| dodge viper gts ac \| dupont \| 34 \| 31.5 \| None \| 23 \| None \| 117 \| None \| 60 \| 265.5 row 7 : 14 \| paul tressider \| 23 \| porsche 996 gt3 cup car \| wynn tressider management \| 29 \| 22.5 \| 49 \| None \| None \| 45 \| None \| 43.5 \| 189 row 8 : 16 \| damien flack \| 55 \| porsche 996 gt3 cup car \| roock \| None \| None \| 69 \| 12 \| None \| 54 \| None \| 25.5 \| 160.5 row 9 : 18 \| bill pye \| 44 \| porsche 996 gt3 cup car \| autohaus hamilton property solutions group \| None \| 58.5 \| None \| None \| None \| 39 \| None \| 43.5 \| 141 row 10 : 19 \| anthony skinner \| 46 \| porsche 996 gt3 \| travelplan ski holiday \| 52 \| 18 \| None \| None \| None \| None \| 69 \| None \| 139 row 11 : 20 \| andrew luxton \| 17 & 18 \| porsche 996 gt3 cup car \| luxton plant twigg waste \| None \| None \| None \| None \| None \| 57 \| None \| 66 \| 123 row 12 : 22 \| ian palmer \| 20 \| honda nsx \| instant fountains paluky ho \| 25 \| None \| 33 \| 53 \| None \| None \| None \| None \| 111 row 13 : 24 \| kevin miller \| 2 \| ferrari f430 \| property solutions group \| None \| None \| None \| None \| None \| None \| 63 \| 36 \| 99 row 14 : 26 \| peter hackett \| 5 \| lamborghini diablo gt \| team lamborghini australia \| None \| 91.5 \| None \| None \| None \| None \| None \| None \| 91.5 row 15 : 28 \| graeme cook \| 91 \| porsche 996 gt3 cup car \| container solutions \| 27 \| None \| None \| None \| 58 \| None \| None \| None \| 85 row 16 : 32 \| stuart kostera \| 70 \| porsche 996 gt3 cup car \| phr scuderia \| None \| None \| None \| 73 \| None \| None \| None \| None \| 73 row 17 : 34 \| justin levis \| 78 \| lotus elise motorsport 200 \| cue autohaus hamilton \| None \| 24 \| None \| None \| None \| 39 \| None \| None \| 63 ] Execute this SQL based on the above table: select ( select total where entrant = 'container solutions' ) - ( select total where entrant = 'container solutions' )	0.0
[ header: year \| date \| winner \| make \| pole \| make \| results row 1 : 1970 \| october 4 \| dave sorg \| mercury \| ron north \| oldsmobile \| report row 2 : 1971 \| october 3 \| denny miles \| chevrolet \| les snow \| plymouth \| report row 3 : 1972 \| october 1 \| dave sorg \| chevrolet \| larry moore \| chevrolet \| report row 4 : 1975 \| september 28 \| bob senneker \| chevrolet \| larry moore \| chevrolet \| report row 5 : 1976 \| october 4 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 6 : 1977 \| october 2 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 7 : 1980 \| october 5 \| terry senneker \| chevrolet \| mark martin \| chevrolet \| report row 8 : 1983 \| october 2 \| mike eddy \| pontiac \| dick trickle \| pontiac \| report row 9 : 1985 \| september 29 \| mark martin \| ford \| mark martin \| ford \| report row 10 : 1986 \| october 5 \| mark martin \| ford \| mark martin \| pontiac \| report row 11 : 1989 \| october 1 \| butch miller \| chevrolet \| kenny wallace \| pontiac \| report row 12 : 1990 \| september 30 \| bob senneker \| chevrolet \| dave jackson \| chevrolet \| report row 13 : 1992 \| october 4 \| tim steele \| chevrolet \| mike garvey \| ford \| report row 14 : 1993 \| october 3 \| mike cope \| oldsmobile \| hal goodson \| ford \| report row 15 : 1995 \| october 1 \| mike cope \| chevrolet \| ron barfield, jr \| ford \| report row 16 : 1999 \| september 26 \| brian ross \| chevrolet \| matt hagans \| ford \| report row 17 : 2000 \| october 1 \| gary st. amant \| chevrolet \| larry foyt \| pontiac \| report row 18 : 2001 \| september 23 \| joey clanton \| chevrolet \| david stremme \| ford \| report row 19 : 2002 \| october 6 \| gary st. amant \| chevrolet \| david stremme \| chevrolet \| report row 20 : 2003 \| october 5 \| bobby parsley \| chevrolet \| dave jackson \| chevrolet \| report row 21 : 2004 \| None \| None \| None \| None \| None \| None row 22 : 2005 \| None \| None \| None \| None \| None \| None row 23 : 2006 \| october 15 \| scott hantz \| chevrolet \| danny jackson \| None \| report row 24 : 2008 \| october 12 \| david stremme \| dodge \| chris gabehart \| None \| report row 25 : 2009 \| october 18 \| kyle busch \| toyota \| chris gabehart \| None \| report row 26 : 2010 \| october 17 \| chase elliott \| ford \| johnny vandoorn \| None \| report row 27 : 2012 \| october 14 \| ross kenseth \| ford \| rick turner \| ford \| report row 28 : 2013 \| october 13 \| erik jones \| toyota \| chase elliott \| chevrolet \| report ] Execute this SQL based on the above table: select count ( * ) where make = 'pontiac'	4
[ header: season \| north \| south \| east \| west row 1 : 2000-01 \| ehc regensburg \| sb rosenheim \| deggendorfer sc ii \| ev landsberg row 2 : 2001-02 \| bts bayreuth \| tus geretsried i \| deggendorfer sc ii \| tsv kottern row 3 : 2002-03 \| ec bayreuth \| sc riessersee i \| tsv erding jets \| tsv peißenberg row 4 : 2003-04 \| ehc ingolstadt ii \| esc holzkirchen \| ehf passau \| tsv kottern row 5 : 2004-05 \| ver selb \| eac bad reichenhall \| se freising \| erc lechbruck row 6 : 2005-06 \| ec bad kissingen \| ehc munchen ii \| esv waldkirchen \| ev bad worishofen row 7 : 2006-07 \| ehc bayreuth \| esc geretsried \| esv gebensbach \| vfl denklingen row 8 : 2007-08 \| ec amberg \| sc gaißach \| ev bruckberg \| esc kempten row 9 : 2008-09 \| erc ingolstadt \| tsv schliersee \| esv waldkirchen \| 1. ec senden ] Execute this SQL based on the above table: select east where east in ( 'deggendorfer sc ii' , 'esv gebensbach' ) order by west - east desc limit 1	deggendorfer sc ii
[ header: office \| name \| dates \| notes row 1 : economic secretary to the treasury \| john edwards \| 19 october 1950 \| None row 2 : lords of the treasur \| joseph henderson \| 4 august 1945 - 1 january \| None row 3 : parliamentary secretary to the ministry of agriculture and fish \| the earl of huntingdon \| 4 august 1945 - 22 november 1950 \| None row 4 : parliamentary secretary to the ministry of agriculture and fish \| george brown \| 7 october 1947 - 26 \| None row 5 : under-secretary of state for air \| john strachey \| 4 august 1945 \| None row 6 : minister of aircraft production \| john wilmot \| 4 august 1945 \| office abolished 1 april 1946 row 7 : minister of civil aviation \| the lord ogmore \| 1 june 1951 \| None row 8 : parliamentary secretary to the minister of food \| edith summerskill \| 4 august 1945 \| None row 9 : parliamentary secretary to the minister of food \| stanley evans \| 2 march 1950 \| None row 10 : parliamentary secretary to the minister of fuel and power \| harold neal \| 26 april 1951 \| None row 11 : parliamentary secretary to the ministry of health \| charles key \| 4 august 1945 \| None row 12 : secretary of state for india and burma \| the lord pethick-lawr \| 3 august 1945 \| None row 13 : minister of information \| the earl of listowel \| 26 february 1946 \| office abolished 31 march 1946 row 14 : minister of labour and national service \| alfred robens \| 24 april 1951 \| None row 15 : chancellor of the duchy of lan \| the viscount alexander of hillsborough \| 28 february 1950 \| None row 16 : minister of national insurance \| edith summerskill \| 28 february 1950 \| None row 17 : minister for pensions \| wilfred paling \| 3 august 1945 \| None row 18 : minister for pensions \| george isaacs \| 17 january 1951 \| None row 19 : postmaster general \| the earl of listowel \| 4 august 1945 \| None row 20 : assistant postmaster general \| wilfrid burke \| 10 august 1945 \| None row 21 : under-secretary of state for scot \| george buchanan \| 4 august 1945 - 7 octo \| None row 22 : under-secretary of state for scot \| margaret herbison \| 2 march 1950 - 26 octo \| None row 23 : president of the board of trade \| harold wilson \| 29 september 1947 \| None row 24 : parliamentary secretary to the board of trade \| john edwards \| 1 february 1949 \| None row 25 : secretary for overseas trade \| hilary marquand \| 4 august 1945 \| None row 26 : secretary of state for war \| jack lawson \| 3 august 1945 \| None row 27 : under-secretary of state for war \| the lord pakenham \| 4 october 1946 - 17 \| office combined with financial secretary row 28 : minister of works \| george brown \| 26 april 1951 \| None row 29 : vice-chamberlain of the household \| ernest popplewell \| 16 october 1947 \| None row 30 : captain of the yeomen of the \| the lord shepherd \| 6 july 1949 \| None row 31 : lords in waiting \| the lord pakenham \| 14 october 1945 - 4 \| None ] Execute this SQL based on the above table: select count ( office ) where id < ( select id where office = 'captain of the yeomen of the guard' )	29
[ header: # \| date \| opponent \| score \| win \| loss \| save \| crowd \| record row 1 : 1 \| apr 3 \| @min \| w 8-1 \| morris \| williams \| None \| 34381 \| 1-0 row 2 : 2 \| apr 5 \| @min \| w 7-3 \| petry \| viola \| None \| 8373 \| 2-0 row 3 : 3 \| apr 6 \| @chw \| w 3-2 \| wilcox \| dotson \| hernandez \| 42692 \| 3-0 row 4 : 4 \| apr 7 \| @chw \| w 4-0 \| morris \| bannister \| None \| 24616 \| 4-0 row 5 : 5 \| apr 8 \| @chw \| w 7-3 \| lopez \| seaver \| None \| 20478 \| 5-0 row 6 : 6 \| apr 10 \| tex \| w 5-1 \| petry \| stewart \| None \| 51238 \| 6-0 row 7 : 7 \| apr 12 \| tex \| w 9-4 \| morris \| tanana \| None \| 19154 \| 7-0 row 8 : 8 \| apr 13 \| @bos \| w 13-9 \| bair \| hurst \| None \| 35179 \| 8-0 row 9 : 9 \| apr 18 \| kcr \| w 4-3 (10) \| hernandez \| beckwith \| None \| 12310 \| 9-0 row 10 : 10 \| apr 19 \| kcr \| l 2-5 \| saberhagen \| petry \| quisenberry \| 12100 \| 9-1 row 11 : 11 \| apr 20 \| chw \| w 3-2 \| lopez \| reed \| None \| 33554 \| 10-1 row 12 : 12 \| apr 21 \| chw \| w 4-1 \| rozema \| hoyt \| bair \| 34395 \| 11-1 row 13 : 13 \| apr 22 \| chw \| w 9-1 \| berenguer \| brennan \| None \| 10603 \| 12-1 row 14 : 14 \| apr 24 \| min \| w 6-5 \| morris \| davis \| None \| None \| 13-1 row 15 : 15 \| apr 24 \| min \| w 4-3 \| abbott \| viola \| lopez \| 20315 \| 14-1 row 16 : 16 \| apr 25 \| @tex \| w 9-4 \| wilcox \| stewart \| hernandez \| 25883 \| 15-1 row 17 : 17 \| apr 26 \| @tex \| w 7-5 \| bair \| tanana \| lopez \| 13559 \| 16-1 row 18 : 18 \| apr 27 \| cle \| l 4-8 (19) \| aponte \| abbott \| None \| 34112 \| 16-2 row 19 : 19 \| apr 28 \| cle \| w 6-2 \| morris \| behenna \| None \| 28253 \| 17-2 row 20 : 20 \| apr 29 \| cle \| w 6-1 \| petry \| spillner \| None \| 24853 \| 18-2 ] Execute this SQL based on the above table: select save where crowd > 13559	hernandez, bair, lopez, hernandez
[ header: year \| date \| venue \| city \| country \| notes row 1 : 2012 \| oct 27 - 31 \| nara prefectural new public hall \| nara \| japan \| None row 2 : 2011 \| noc 28 - dec 1st \| hyatt regency scott \| scottsdale, arizona \| usa \| None row 3 : 2010 \| oct 25 - 29 \| palazzo degli affari \| firenze \| italy \| None row 4 : 2009 \| oct 19 - 24 \| beijing hotel \| beijing \| china \| None row 5 : 2008 \| oct 27 - nov 1 \| pan pacific hotel \| vancouver, bc \| canada \| None row 6 : 2007 \| sep 24-29 \| university of augsburg \| augsburg \| germany \| None row 7 : 2006 \| oct 23-27 \| fess parker's double \| santa barbara \| usa \| isbn 1-59593-447-2 row 8 : 2005 \| nov 6-11 \| hilton \| singapore \| singapore \| isbn 1-59593-044-2 row 9 : 2004 \| oct 10-16 \| None \| new york \| usa \| isbn 1-58113-893-8 row 10 : 2003 \| nov 2-8 \| None \| berkeley, californi \| usa \| isbn 1-58113-722-2 row 11 : 2002 \| dec 1-6 \| None \| juan-les-pins on the \| france \| isbn 1-58113-620-x row 12 : 2001 \| sep 30 - oct 5 \| None \| ottawa \| canada \| isbn 1-58113-394-4 row 13 : 2000 \| oct 30 - nov 3 \| marina del rey \| los angeles, ca \| usa \| proceedings: isbn 1-58113-198 row 14 : 1999 \| oct 30 - nov 5 \| None \| orlando, florida \| usa \| proc. part 1: isbn 1- row 15 : 1998 \| sep 12-16 \| university of bristol \| bristol \| united kingdom \| isbn 0-201-30990-4 row 16 : 1997 \| nov 9-13 \| None \| seattle, wa \| usa \| isbn 0-89791-99 row 17 : 1996 \| nov 18 - 22 \| hynes convention center \| boston, ma \| usa \| isbn 0-89791-871 row 18 : 1995 \| nov 5-9 \| None \| san francisco, ca \| usa \| isbn 0-89791-75 row 19 : 1994 \| oct 15-20 \| None \| san francisco, ca \| usa \| isbn 0-89791-686-7 row 20 : 1993 \| aug 1-6 \| None \| anaheim, ca \| usa \| isbn 0-89791-596 ] Execute this SQL based on the above table: select venue where id = 1	nara prefectural new public hall
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select count ( * ) > 0 where nation not null	1
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : pennsylvania 2 \| james m. beck \| republican \| 1927 \| resigned republican hold \| william h. wilson row 2 : pennsylvania 5 \| james j. connolly \| republican \| 1920 \| lost re-election democratic gain \| frank joseph gerard row 3 : pennsylvania 6 \| edward l. sto \| republican \| 1931 \| retired to run for governor democratic gain \| michael j. stack (d row 4 : pennsylvania 7 \| george p. darrow \| republican \| 1914 \| re-elected \| george p. darrow ( row 5 : pennsylvania 10 \| j. roland kinzer \| republican \| 1930 \| re-elected \| j. roland kinzer ( row 6 : pennsylvania 14 \| william emanuel rich \| democratic \| 1932 \| re-elected \| william emanuel rich row 7 : pennsylvania 17 \| j. william ditter \| republican \| 1932 \| re-elected \| j. william ditter ( row 8 : pennsylvania 20 \| thomas cunningham cochran \| republican \| 1926 \| retired democratic gain \| denis j. drisco row 9 : pennsylvania 22 \| harry l. haines \| democratic \| 1930 \| re-elected \| harry l. haines (d row 10 : pennsylvania 23 \| j. banks kurtz \| republican \| 1922 \| lost re-election democratic gain \| don gingery (d) 52.4% ] Execute this SQL based on the above table: select count ( result )	10
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| nicky english \| tipperary \| 2-12 \| 18 \| antrim row 2 : 2 \| mark corrigan \| offaly \| 3-7 \| 16 \| kilkenny row 3 : 3 \| joe hennessy \| kerry \| 3-5 \| 14 \| limerick row 4 : 3 \| finbarr delaney \| cork \| 1-11 \| 14 \| waterford row 5 : 5 \| nicky english \| tipperary \| 0-13 \| 13 \| waterford row 6 : 5 \| adrian ronan \| kilkenny \| 1-10 \| 13 \| westmeath row 7 : 7 \| nicky english \| tipperary \| 2-5 \| 11 \| limerick row 8 : 7 \| danny mcnaughton \| antrim \| 2-5 \| 11 \| down row 9 : 9 \| m. j. ryan \| dublin \| 1-7 \| 10 \| laois row 10 : 10 \| gary kirby \| limerick \| 1-6 \| 9 \| kerry row 11 : 10 \| pat murphy \| waterford \| 3-0 \| 9 \| cork ] Execute this SQL based on the above table: select count ( player ) where tally = 11	0
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 3, 2005 \| 8:00 pm \| at #25 pittsburgh \| None \| heinz field • pittsburgh \| abc \| w 42-21 \| 66451 row 2 : september 10, 2005 \| 12:00 pm \| at #3 michigan \| #23 \| michigan stadium • ann arbor, mi \| abc \| w 17-10 \| 111386 row 3 : september 17, 2005 \| 3:30 pm \| michigan state \| #12 \| notre dame stadium • notre dame, in \| nbc \| l 44-41 ot \| 80795 row 4 : september 24, 2005 \| 3:30 pm \| at washington \| #18 \| husky stadium • seattle wa \| abc \| w 36-17 \| 71473 row 5 : october 1, 2005 \| 7:45 pm \| at #20 purdue \| #14 \| ross-ade stadium • west la \| espn \| w 49-28 \| 65491 row 6 : october 15, 2005 \| 3:30 pm \| #1 usc \| #9 \| notre dame stadium • notre dame, in \| nbc \| l 34-31 \| 80795 row 7 : october 22, 2005 \| 2:30 pm \| byu \| #12 \| notre dame stadium • notre dame, in \| nbc \| w 49-23 \| 80795 row 8 : november 5, 2005 \| 2:30 pm \| tennessee \| #9 \| notre dame stadium • notre dame, in \| nbc \| w 41-21 \| 80795 row 9 : november 12, 2005 \| 1:00 pm \| navy \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 42-21 \| 80795 row 10 : november 19, 2005 \| 2:30 pm \| syracuse \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 34-10 \| 80795 row 11 : november 26, 2005 \| 8:00 pm \| at stanford \| #6 \| stanford stadium • palo alto, \| abc \| w 38-31 \| 56057 row 12 : january 2, 2006 \| 4:30 pm \| vs. #4 ohio \| #6 \| sun devil stadium • tempe, a \| abc \| l 34-20 \| 76196 ] Execute this SQL based on the above table: select opponent# order by time - attendance desc limit 1	at stanford
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select stadium where stadium in ( 'wuhan sports center, wuhan' , 'shenzhen stadium, shenzhen' ) order by season desc limit 1	wuhan sports center, wuhan
[ header: plant name \| location \| country \| startup date \| capacity (mmtpa) \| corporation row 1 : qatargas ii \| ras laffan \| qatar \| 2009 \| 7.8 \| None row 2 : arzew gl4z \| None \| algeria \| 1964 \| 0.9 \| None row 3 : arzew gl1z \| None \| algeria \| 1978 \| None \| None row 4 : arzew gl1z \| None \| algeria \| 1997 \| 7.9 \| None row 5 : skikda gl1k \| None \| algeria \| 1981 \| None \| None row 6 : skikda gl1k \| None \| algeria \| 1999 \| 6 \| None row 7 : angola lng \| soyo \| angola \| 2013 \| 5.2 \| chevron row 8 : lumut 1 \| None \| brunei \| 1972 \| 7.2 \| None row 9 : badak a-b \| bontang \| indonesia \| 1977 \| None \| None row 10 : badak a-d \| bontang \| indonesia \| 1986 \| None \| None row 11 : badak a-e \| bontang \| indonesia \| 1989 \| None \| None row 12 : badak a-f \| bontang \| indonesia \| 1993 \| None \| None row 13 : badak a-g \| bontang \| indonesia \| 1998 \| None \| None row 14 : badak ngl a-h \| bontang \| indonesia \| 1999 \| 22.6 \| None row 15 : atlantic lng \| point fortin \| trinidad and tobago \| 1999 \| None \| atlantic lng row 16 : [atlantic lng] \| [point fortin] \| trinidad and tobago \| 2003 \| 9.9 \| atlantic lng row 17 : None \| damietta \| egypt \| 2004 \| 5.5 \| segas lng row 18 : None \| idku \| egypt \| 2005 \| 7.2 \| None row 19 : bintulu mlng 1 \| None \| malaysia \| 1983 \| 7.6 \| None row 20 : bintulu mlng 2 \| None \| malaysia \| 1994 \| 7.8 \| None row 21 : bintulu mlng 3 \| None \| malaysia \| 2003 \| 3.4 \| None row 22 : nigeria lng \| None \| nigeria \| 1999 \| 23.5 \| None row 23 : northwest shelf venture \| karratha \| australia \| 2009 \| 16.3 \| None row 24 : withnell bay \| karratha \| australia \| 1989 \| None \| None row 25 : withnell bay \| karratha \| australia \| 1995 \| (7.7) \| None row 26 : sakhalin ii \| None \| russia \| 2009 \| 9.6 \| None row 27 : yemen lng \| balhaf \| yemen \| 2008 \| 6.7 \| None row 28 : tangguh lng project \| papua barat \| indonesia \| 2009 \| 7.6 \| None row 29 : qatargas i \| ras laffan \| qatar \| 1996 \| (4.0) \| None row 30 : qatargas i \| ras laffan \| qatar \| 2005 \| 10 \| None row 31 : qatargas iii \| None \| qatar \| 2010 \| 7.8 \| None row 32 : rasgas i, i \| ras laffan \| qatar \| 1999 \| 36.3 \| None row 33 : qalhat \| None \| oman \| 2000 \| 7.3 \| None row 34 : das island i \| None \| united arab emirates \| 1977 \| None \| None row 35 : das island i and ii \| None \| united arab emirates \| 1994 \| 5.7 \| None ] Execute this SQL based on the above table: select abs ( ( select startup date where plant name = 'das island i and ii' ) - ( select startup date where plant name = 'badak a-g' ) )	4
[ header: responsible minister(s) \| crown entities \| monitoring department(s) \| category / type \| empowering legislation row 1 : acc \| accident compensation corporation \| labour \| crown agent \| injury prevention, rehabilitation, and compensation act 2001 ( row 2 : arts, culture and heritage \| new zealand historic places trust (p \| culture and heritage \| ace \| historic places act 1993 (part 3) row 3 : arts, culture and heritage \| new zealand symphon \| culture and heritage \| ace \| new zealand symphon row 4 : broadcasting \| broadcasting commission (new zealand on \| culture and heritage \| ace \| broadcasting act 1989 (part 4 and schedule 1) row 5 : commerce \| securities commission \| economic development \| ice \| securities act 1978 (part 1) row 6 : commerce \| takeovers panel \| economic development \| ice \| takeovers act 1993 (part 1 and schedule row 7 : commerce \| testing laboratory registration council \| economic development \| ace \| testing laboratory registration act 1972 row 8 : community and voluntary sector \| charities commission \| internal affairs \| ace \| charities act 2005 (part 1) row 9 : cris and finance (2) \| crown research institutes (9) \| ccmau and treasur \| cec \| crown research institutes act 1992 row 10 : economic development and finance (2) \| new zealand venture investment fund limited \| ccmau and treasur \| cec \| none (company constitution) row 11 : finance \| government superannuation fund authority \| treasury \| ace \| government superannuation fund act 1956 ( row 12 : health \| alcohol advisory council of new zealand \| health \| ace \| alcohol advisory council act 1976 row 13 : health \| crown health financing agency \| health \| crown agent \| new zealand public health and disability act row 14 : health \| district health boards (21) \| health \| crown agent \| new zealand public health and disability act row 15 : health \| health and disability commissioner \| health \| ice \| health and disability commissioner act 1994 (part 1 and row 16 : health \| health research council of new zealand \| health \| crown agent \| health research council act 1990 (part 1 and schedule row 17 : health \| health sponsorship council \| health \| crown agent \| smoke-free environments act 1990 (part 3) row 18 : health \| pharmaceutical management agency \| health \| crown agent \| new zealand public health and disability act row 19 : law commission \| law commission \| justice \| ice \| law commission act 1985 (and schedule 1) row 20 : social development and employment \| new zealand artificial limb board \| social development \| ace \| social welfare (transitional provisions) act 1990 row 21 : social development and employment \| social workers registration board \| social development \| crown agent \| social workers registration act 2003 (part 6 and schedule row 22 : sport and recreation \| new zealand sports drug agency \| culture and heritage \| ice \| new zealand sports drug agency act 1994 row 23 : sport and recreation \| sport and recreation new zealand \| culture and heritage \| crown agent \| sport and recreation new zealand act 2002 row 24 : tertiary education \| tertiary education commission \| education \| crown agent \| education act 1989 (part 13a) row 25 : transport \| civil aviation authority of new zealand \| transport \| crown agent \| civil aviation act 1990 (part 6a and schedule row 26 : transport \| transit new zealand \| transport \| crown agent \| land transport management act 2003 (part 3 and schedule ] Execute this SQL based on the above table: select monitoring department(s) where category / type < monitoring department(s) order by empowering legislation desc limit 1	economic development
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select team order by id desc limit 1	pepsi max crew
[ header: year \| player \| position \| high school \| college row 1 : 1987 \| buster howe \| rb-db-k-p \| zanesville \| ohio state row 2 : 1988 \| robert smith \| rb \| euclid \| ohio state row 3 : 1989 \| robert smith \| rb \| euclid \| ohio state row 4 : 1990 \| bobby hoying \| qb \| st. henry \| ohio state row 5 : 1991 \| derek kidwell \| qb-de \| fostoria \| bowling green row 6 : 1992 \| marc edwards \| rb-lb \| norwood \| notre dame row 7 : 1993 \| curtis enis \| rb-lb \| mississinawa valley \| penn state row 8 : 1994 \| charles woodson \| db-rb \| fremont ross \| michigan row 9 : 1995 \| andy katzenmoyer \| lb \| westerville south \| ohio state row 10 : 1996 \| derek combs \| rb-db-kr \| grove city \| ohio state row 11 : 1997 \| tony fisher \| rb \| euclid \| notre dame row 12 : 1998 \| ryan brewer \| rb \| troy \| south carolina row 13 : 1999 \| bam childress \| db-wr-kr \| st. peter chanel \| ohio state row 14 : 2000 \| jeff backes \| rb-db \| upper arlington \| northwestern row 15 : 2001 \| maurice clarett \| rb \| warren g. harding \| ohio state row 16 : 2002 \| ben mauk \| qb \| kenton \| wake forest cincinnati row 17 : 2003 \| ray williams \| rb \| cleveland benedictine \| west virginia row 18 : 2004 \| tyrell sutton \| rb \| archbishop hoban \| northwestern row 19 : 2005 \| delone carter \| rb \| copley \| syracuse row 20 : 2006 \| brandon saine \| rb \| piqua \| ohio state row 21 : 2007 \| bart tanski \| qb \| mentor \| bowling green row 22 : 2008 \| erick howard \| rb \| north canton hoover \| akron row 23 : 2009 \| erick howard \| rb \| north canton hoover \| akron row 24 : 2010 \| akise teague \| rb-db-kr \| youngstown ursuline \| cincinnati row 25 : 2011 \| maty mauk \| qb \| kenton \| missouri row 26 : 2012 \| mitch trubisky \| qb \| mentor \| north carolina row 27 : 2013 \| dante booker jr \| lb \| st. vincent - s \| ohio state ] Execute this SQL based on the above table: select position group by position order by count ( * ) desc limit 1	rb
[ header: map (coordinates) \| municipality \| area (square kilometers) (square miles) \| population \| mesoregion \| microregion row 1 : 6°26′8′′s 36°38 \| acari \| 608.565 (234.967) \| 11035 \| central potiguar \| serido oriental row 2 : 6°11′40′′s 35°9 \| ares \| 112.584 (43.469) \| 12931 \| leste potiguar \| litoral sul row 3 : 5°41′50′′s 36°31 \| fernando pedroza \| 322.540 (124.533) \| 2850 \| central potiguar \| angicos row 4 : 6°8′57′′s 35°26 \| lagoa de pedras \| 117.660 (45.429) \| 6992 \| agreste potiguar \| agreste potiguar row 5 : 6°16′44′′s 35°22 \| passagem \| 41.235 (15.921) \| 2899 \| agreste potiguar \| agreste potiguar row 6 : 6°6′36′′s 37°18 \| patu \| 319.932 (123.526) \| 11964 \| oeste potiguar \| umarizal row 7 : 5°4′4′′s 36°46 \| porto do mangue \| 418.636 (161.635) \| 5217 \| oeste potiguar \| vale do acu row 8 : 5°58′30′′s 38°9 \| sao francisco do o \| 75.550 (29.170) \| 3874 \| oeste potiguar \| pau dos ferros row 9 : 6°6′36′′s 37°57 \| serrinha dos pintos \| 122.644 (47.353) \| 4538 \| oeste potiguar \| umarizal row 10 : 6°20′53′′s 35°22 \| varzea \| 67.245 (25.963) \| 5227 \| agreste potiguar \| agreste potiguar ] Execute this SQL based on the above table: select count ( * ) where microregion = 'vale do acu'	1
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 38 (100) \| 40 (104) \| 43 (109) \| 48 (118) \| 46 (115) \| 45 (113) \| 42.5 (108.5) \| 42.5 (108.5) \| 41 (106) \| 39 (102) \| 39 (102) \| 39 (102) \| 48 (118) row 2 : average high °c (°f) \| 20.7 (69.3) \| 23.2 (73.8) \| 26.9 (80.4) \| 30 (86) \| 32.2 (90) \| 33.8 (92.8) \| 34.8 (94.6) \| 34.5 (94.1) \| 31.5 (88.7) \| 27.6 (81.7) \| 24.1 (75.4) \| 21.2 (70.2) \| 28.4 (83.1) row 3 : daily mean °c (°f) \| 14.4 (57.9) \| 16.6 (61.9) \| 20 (68) \| 23.4 (74.1) \| 26.2 (79.2) \| 27.9 (82.2) \| 28.6 (83.5) \| 28.5 (83.3) \| 26.2 (79.2) \| 22.4 (72.3) \| 18.4 (65.1) \| 15.1 (59.2) \| 22.3 (72.1) row 4 : average low °c (°f) \| 8.2 (46.8) \| 10 (50) \| 13.2 (55.8) \| 16.7 (62.1) \| 20.2 (68.4) \| 22 (72) \| 22.3 (72.1) \| 22.5 (72.5) \| 20.9 (69.6) \| 17.2 (63) \| 12.7 (54.9) \| 9.1 (48.4) \| 16.3 (61.3) row 5 : record low °c (°f) \| -7 (19) \| -7 (19) \| -1 (30) \| 5 (41) \| 8 (46) \| 11.5 (52.7) \| 11 (52) \| 12.2 (54) \| 2 (36) \| 2 (36) \| -5 (23) \| -7.5 (18.5) \| -7.5 (18.5) row 6 : precipitation mm (inches) \| 16.6 (0.654) \| 16.5 (0.65) \| 19.9 (0.783) \| 29.7 (1.169) \| 52.3 (2.059) \| 68.4 (2.693) \| 43 (1.69) \| 79.6 (3.134) \| 150.6 (5.929) \| 77.2 (3.039) \| 23 (0.91) \| 14.1 (0.555) \| 590.9 (23.264) row 7 : avg. precipitation days (≥ \| 4.2 \| 3.8 \| 3.4 \| 4.5 \| 5.7 \| 5.6 \| 3.9 \| 6.4 \| 8.2 \| 6.5 \| 4.1 \| 3.4 \| 59.7 row 8 : avg. snowy days \| 0.03 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0.03 row 9 : % humidity \| 67 \| 64 \| 58 \| 61 \| 66 \| 66 \| 63 \| 63 \| 69 \| 71 \| 68 \| 69 \| 65 row 10 : mean monthly sunshine hours \| 193 \| 137 \| 155 \| 167 \| 163 \| 178 \| 194 \| 226 \| 167 \| 142 \| 196 \| 185 \| 2,104 ] Execute this SQL based on the above table: select count ( * ) group by month	1, 1, 1, 1, 1, 1, 1, 1, 1, 1
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select count ( language ) where language = 288	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select place order by to par desc limit 1	t8
[ header: month \| day \| visitor \| score \| home \| score row 1 : jan \| 2 \| wanderers \| 6 \| victorias \| 5 (10' overtime) row 2 : jan \| 5 \| montreal \| 5 \| shamrocks \| 3 row 3 : jan \| 5 \| quebec \| 1 \| ottawa \| 6 row 4 : jan \| 9 \| wanderers \| 6 \| montreal \| 3 row 5 : jan \| 12 \| ottawa \| 2 \| wanderers \| 4 row 6 : jan \| 12 \| victorias \| 10 \| quebec \| 1 row 7 : jan \| 16 \| victorias \| 16 \| shamrocks \| 3 row 8 : jan \| 19 \| shamrocks \| 2 \| ottawa \| 6 row 9 : jan \| 19 \| quebec \| 8 \| montreal \| 15 row 10 : jan \| 23 \| victorias \| 12 \| montreal \| 6 row 11 : jan \| 26 \| ottawa \| 12 \| victorias \| 10 row 12 : jan \| 26 \| wanderers \| 11 \| quebec \| 3 row 13 : jan \| 30 \| shamrocks \| 5 \| montreal \| 3 row 14 : feb \| 2 \| montreal \| 2 \| ottawa \| 5 row 15 : feb \| 2 \| quebec \| 8 \| shamrocks \| 11 row 16 : feb \| 6 \| wanderers \| 5 \| victorias \| 2 row 17 : feb \| 9 \| ottawa \| 5 \| quebec \| 4 (2' overtime) row 18 : feb \| 9 \| montreal \| 3 \| wanderers \| 16 row 19 : feb \| 13 \| shamrocks \| 7 \| victorias \| 19 row 20 : feb \| 16 \| victorias \| 7 \| ottawa \| 16 row 21 : feb \| 16 \| quebec \| 5 \| wanderers \| 13 row 22 : feb \| 19 \| shamrocks \| 5 \| wanderers \| 18 row 23 : feb \| 23 \| ottawa \| 12 \| shamrocks \| 6 row 24 : feb \| 23 \| montreal \| 5 \| quebec \| 9 row 25 : feb \| 27 \| montreal \| 8 \| victorias \| 13 row 26 : mar \| 2 \| wanderers \| 10 \| ottawa \| 6 row 27 : mar \| 2 \| quebec \| 6 \| victorias \| 7 row 28 : mar \| 6 \| shamrocks \| 5 \| wanderers \| 16 row 29 : mar \| 9 \| ottawa \| 6 \| montreal \| 8 row 30 : mar \| 9 \| shamrocks \| 5 \| quebec \| 17 ] Execute this SQL based on the above table: select count ( home ) where visitor = 'ottawa'	5
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select count ( distinct opponents in the final )	7

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[ header: # \| matters \| sections of the constitution allowing their institution \| eligible petitioners \| type row 1 : 2 \| a petition for a decision as to whether \| section 68 \| any person \| constitutional defence row 2 : 3 \| a petition for a decision as to whether \| section 91 \| at least one tenth of the existing representatives \| membership row 3 : 4 \| a petition for a decision as to whether \| section 106 (7) \| the representative in question \| political party row 4 : 5 \| a petition for a decision concerning the constitutional \| section 141 \| the national assembly \| constitutionality of draft law row 5 : 6 \| a petition for a decision as to whether \| sections 140 and 149 \| the president of the house of representatives or s \| constitutionality of draft law row 6 : 9 \| a petition for a decision as to whether \| section 168, paragraph 7 \| at least one tenth of the existing representatives \| others row 7 : 11 \| a petition for a decision as to whether \| section 185 \| at least one fifth of the existing representatives or senator \| constitutionality of law row 8 : 12 \| a petition for a decision as to whether \| section 190 \| at least one tenth of the existing representatives \| authority row 9 : 13 \| a petition for a decision as to whether \| section 211 \| a party to such case \| constitutionality of law row 10 : 14 \| a petition for a decision as to the \| section 212 \| any person whose constitutionally recognised right or freedom \| constitutionality of law row 11 : 15 \| a petition for a decision as to \| section 214 \| the president of the national assembly the prime minister the \| authority row 12 : 16 \| a petition for a decision as to whether \| section 233 \| at least one tenth of the existing representatives \| membership row 13 : 18 \| a petition for a decision as to the \| section 245 (1) \| ombudsmen \| constitutionality of law row 14 : 19 \| a petition for a decision as to the \| section 257, paragraph 1 (2) \| the national human rights commission \| constitutionality of law ] Execute this SQL based on the above table: select count ( * )	14
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 8th \| 200 m \| 23.89 row 2 : 1996 \| olympic games \| atlanta, united states \| 11th (sf) \| 4x100 m relay \| 44.21 row 3 : 1997 \| european junior championships \| ljubljana, s \| 1st \| 100 m \| 11.39 row 4 : 1997 \| european junior championships \| ljubljana, s \| 3rd \| 200 m \| 23.43 row 5 : 1997 \| world championships \| athens, greece \| 36th (h) \| 100 m \| 11.59 row 6 : 1998 \| world junior championships \| annecy, france \| 8th (sf) \| 100 m \| 11.75 row 7 : 1998 \| european championships \| budapest, hungary \| 27th (h) \| 200 m \| 24.1 row 8 : 1998 \| european championships \| budapest, hungary \| 6th \| 4x100 m relay \| 44.1 row 9 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 100 m \| 11.47 row 10 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 200 m \| 23.26 row 11 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 4x100 m relay \| 44.4 row 12 : 1999 \| world championships \| seville, spain \| 24th (qf) \| 100 m \| 11.45 row 13 : 1999 \| world championships \| seville, spain \| 10th (h) \| 4x100 m relay \| 43.86 row 14 : 2000 \| european indoor championships \| ghent, belgium \| 21st (h) \| 60 m \| 7.4 row 15 : 2000 \| european indoor championships \| ghent, belgium \| 12th (sf) \| 200 m \| 23.83 row 16 : 2000 \| olympic games \| sydney, australia \| 12th (sf) \| 4x100 m relay \| 43.5 row 17 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 100 m \| 11.61 row 18 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 4x100 m relay \| 44.76 row 19 : 2001 \| world championships \| edmonton, canada \| 12th (sf) \| 100 m \| 11.46 row 20 : 2002 \| european championships \| munich, germany \| 20th (h) \| 100 m \| 11.58 row 21 : 2003 \| world championships \| paris, france \| 23rd (qf) \| 200 m \| 23.42 row 22 : 2004 \| world indoor championships \| budapest, hungary \| 13th (sf) \| 60 m \| 7.3 row 23 : 2004 \| world indoor championships \| budapest, hungary \| 10th (h) \| 200 m \| 23.79 row 24 : 2006 \| european championships \| gothenburg, sweden \| 11th (h) \| 4x100 m relay \| 44.32 row 25 : 2007 \| european indoor championships \| birmingham, united kingdom \| 5th (sf) \| 60 m \| 7.24 row 26 : 2007 \| universiade \| bangkok, thailand \| 1st \| 100 m \| 11.46 row 27 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x100 m relay \| 43.48 row 28 : 2007 \| world championships \| osaka, japan \| 32nd (h) \| 100 m \| 11.52 row 29 : 2007 \| world championships \| osaka, japan \| 10th (h) \| 4x100 m relay \| 43.41 ] Execute this SQL based on the above table: select position order by id desc limit 1	10th (h)
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 6, 1981 \| new orleans saints \| w 27-0 \| 57,406 row 2 : 2 \| september 13, 1981 \| at green bay packers \| w 31-17 \| 55,382 row 3 : 3 \| september 20, 1981 \| san francisco 49ers \| w 34-17 \| 56,653 row 4 : 4 \| september 27, 1981 \| at cleveland browns \| l 28-17 \| 78,283 row 5 : 5 \| october 5, 1981 \| at philadelphia eagle \| l 16-13 \| 71,488 row 6 : 6 \| october 11, 1981 \| los angeles rams \| l 37-35 \| 57,841 row 7 : 7 \| october 18, 1981 \| st. louis cardinals \| w 41-20 \| 51,428 row 8 : 8 \| october 25, 1981 \| new york giants \| l 27-24 \| 48,410 row 9 : 9 \| november 1, 1981 \| at new orleans saints \| w 41-10 \| 63,637 row 10 : 10 \| november 8, 1981 \| at san francisco 49ers \| l 17-14 \| 59,127 row 11 : 11 \| november 15, 1981 \| pittsburgh steelers \| l 34-20 \| 57,485 row 12 : 12 \| november 23, 1981 \| minnesota vikings \| w 31-30 \| 54,086 row 13 : 13 \| november 29, 1981 \| at houston oilers \| w 31-27 \| 40,201 row 14 : 14 \| december 6, 1981 \| at tampa bay buccaneers \| l 24-23 \| 69,221 row 15 : 15 \| december 14, 1981 \| at los angeles rams \| l 21-16 \| 57,054 row 16 : 16 \| december 20, 1981 \| cincinnati bengals \| l 30-28 \| 35,972 ] Execute this SQL based on the above table: select count ( date ) where result != 'w 31-27' and attendance = ( select attendance where result = 'w 31-27' )	0
[ header: episode number \| original airdate \| title \| disc \| description row 1 : 48 \| 30 january 1983 \| "the frozen turkey man" \| 1 \| for a joke, compo and cle row 2 : 49 \| 6 february 1983 \| "the white man's grave" \| 1 \| the trio have clegg stand in for wall row 3 : 50 \| 13 february 1983 \| "the waist land" \| 1 \| foggy attempts to earn some ready cash by row 4 : 51 \| 20 february 1983 \| "cheering up ludovic \| 1 \| clegg is roped in to drive row 5 : 52 \| 27 february 1983 \| "the three astaires" \| 1 \| the trio help out at a church concert, row 6 : 53 \| 6 march 1983 \| "the arts of concealment" \| 1 \| foggy lands himself in trouble with a ] Execute this SQL based on the above table: select count ( * ) where original airdate = '13 february 1983'	1
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select count ( co-driver ) where co-driver = 'lorenzo granai'	1
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select ( select 30 mar where camp = 'sirukandal' ) > ( select 30 mar where camp = 'mannar district general hospital' )	1
[ header: province \| map # \| iso 3166-2:af \| centers \| population \| area (km2) \| language \| notes \| u.n. region row 1 : badakhshan \| 30 \| af-bds \| fayzabad \| 823000 \| 44059 \| dari persian \| composed of 29 districts \| north east afghanistan row 2 : badghis \| 4 \| af-bdg \| qala i naw \| 429500 \| 20591 \| dari persian, pashto \| 7 districts \| west afghanistan row 3 : baghlan \| 19 \| af-bgl \| puli khumri \| 779000 \| 21118 \| dari persian uzbek, \| 16 districts \| north east afghanistan row 4 : daykundi \| 10 \| af-day \| nili \| 399600 \| 8088 \| dari persian \| 8 districts formed from oruzgan province in \| south west afghanistan row 5 : farah \| 2 \| af-fra \| farah \| 438000 \| 48471 \| pashto, dari persian, bal \| 11 districts \| west afghanistan row 6 : faryab \| 5 \| af-fyb \| maymana \| 858600 \| 20293 \| dari persian, turkmen and \| 14 districts \| west afghanistan row 7 : ghor \| 6 \| af-gho \| chaghcharan \| 485000 \| 36479 \| dari persian \| 10 districts \| east central afghanistan row 8 : helmand \| 7 \| af-hel \| lashkar gah \| 745000 \| 58584 \| pashto,baloch \| 13 districts \| south west afghanistan row 9 : kandahar \| 12 \| af-kan \| kandahar \| 886000 \| 54022 \| pashto, dari persian,bal \| 16 districts \| south west afghanistan row 10 : khost \| 26 \| af-kho \| khost \| 300000 \| 4152 \| pashto \| 13 districts \| south afghanistan row 11 : kunar \| 34 \| af-knr \| asadabad \| 321000 \| 4942 \| pashto \| 15 districts \| east afghanistan row 12 : nimruz \| 3 \| af-nim \| zaranj \| 149000 \| 41005 \| balochi, dari persian and bal \| 5 districts \| south west afghanistan row 13 : paktia \| 24 \| af-pia \| gardez \| 415000 \| 6432 \| pashto, dari persian \| 11 districts \| south afghanistan row 14 : parwan \| 20 \| af-par \| charikar \| 726000 \| 5974 \| dari persian \| composed of 9 districts \| central afghanistan row 15 : sar-e pol \| 9 \| af-sar \| sar-e pol \| 468000 \| 15999 \| dari persian and uzbek \| 6 districts \| north afghanistan ] Execute this SQL based on the above table: select count ( iso 3166-2:af ) where population >= 891	15
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select count ( * ) where test no < 1713 and test no = 'lost'	0
[ header: \| wine \| rank \| beer \| rank \| spirits \| rank \| total \| rank↓ row 1 : yukon \| 18.3 \| 1 \| 90.6 \| 1 \| 13.8 \| 1 \| 12.7 \| 1 row 2 : northwest territories \| 8.1 \| 7 \| 55.2 \| 5 \| 10.8 \| 2 \| 9.2 \| 2 row 3 : alberta \| 13.9 \| 4 \| 89.8 \| 4 \| 7.6 \| 9 \| 8.6 \| 3 row 4 : newfoundland & labrador \| 6.5 \| 11 \| 93.3 \| 3 \| 7.3 \| 10 \| 8 \| 4 row 5 : british columbia \| 14.5 \| 3 \| 76.6 \| 12 \| 9 \| 7 \| 7.8 \| 5 row 6 : ontario \| 11.8 \| 5 \| 84.3 \| 6 \| 8.8 \| 8 \| 7.8 \| 6 row 7 : quebec \| 17.4 \| 2 \| 93.9 \| 2 \| 4.1 \| 12 \| 7.8 \| 7 row 8 : prince edward island \| 7.4 \| 10 \| 78.9 \| 9 \| 9.7 \| 3 \| 7.5 \| 8 row 9 : nova scotia \| 8 \| 8 \| 79.5 \| 8 \| 9.1 \| 5 \| 7.5 \| 9 row 10 : manitoba \| 8 \| 9 \| 76.8 \| 10 \| 9.4 \| 4 \| 7.4 \| 10 row 11 : saskatchewan \| 5 \| 12 \| 76.8 \| 11 \| 9.1 \| 6 \| 7 \| 11 row 12 : new brunswick \| 8.4 \| 6 \| 79.8 \| 7 \| 6.8 \| 11 \| 6.7 \| 12 row 13 : nunavut \| None \| None \| None \| None \| None \| None \| None \| None row 14 : canada \| 13.1 \| None \| 85.6 \| None \| 7.5 \| None \| 7.8 \| None ] Execute this SQL based on the above table: select order by rank↓ desc limit 1	new brunswick
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : 22 \| s 5.0 \| 8 \| david brown \| reg parnell roy salvadori \| aston martin db3 \| aston martin 2.9l super \| 222 row 2 : 26 \| s 750 \| 58 \| automobiles panhard et levass \| pierre chancel robert chancel \| monopole x88 \| panhard 0.6l flat-2 \| 157 row 3 : 27 \| s 1.5 \| 41 \| porsche kg \| hans herrmann helmut \| porsche 550/4 rs 1500 spy \| porsche 1.5l flat-4 \| 148 row 4 : 31 \| s 5.0 \| 6 \| briggs cunningham \| phil walters john fitch \| ferrari 375mm \| ferrari 4.5l v12 \| 120 row 5 : 36 \| s 5.0 \| 12 \| jaguar cars ltd \| stirling moss peter walker \| jaguar d-type \| jaguar 3.4l i6 \| 92 row 6 : 37 \| s 5.0 \| 3 \| scuderia ferrari \| umberto maglioli paolo \| ferrari 375 plus \| ferrari 5.0l v12 \| 88 row 7 : 41 \| s 3.0 \| 22 \| david brown \| carroll shelby paul frere \| aston martin db3 \| aston martin 2.9l \| 74 row 8 : 42 \| s 750 \| 50 \| guy michel et andre \| guy michel andre guillard \| renault 4cv \| renault 0.7l i4 \| 73 row 9 : 43 \| s 3.0 \| 21 \| david brown \| ian stewart graham whitehead \| aston martin db3 \| aston martin 2.9l \| 64 row 10 : 46 \| s 2.0 \| 37 \| automobiles frazer nash lt \| rodney f. peacock ger \| frazer nash le mans \| bristol 2.0l i6 \| 49 row 11 : 47 \| s 5.0 \| 10 \| pierre levegh \| pierre levegh lino \| talbot-lago t26 \| talbot-lago 4.4l \| 33 row 12 : 50 \| s 750 \| 66 \| jacques faucher \| jacques faucher jean \| renault 4cv \| renault 0.7l i4 \| 20 row 13 : 51 \| s 750 \| 51 \| automobiles deutsch et bonnet \| pierre-louis dreyf \| db hbr \| renault 0.7l i4 \| 8 row 14 : 52 \| s 750 \| 53 \| nardi et co \| alexandre gacon dr. \| nardi 750lm \| crosley 0.7l i4 \| 7 row 15 : 53 \| s 5.0 \| 18 \| luigi chinetti \| porfirio rubirosa innocente \| ferrari 375mm berlinetta \| ferrari 4.5l v12 \| 5 row 16 : 54 \| s 750 \| 60 \| automobiles panhard et levass \| lucien pailler jacques dew \| panhard x88 \| panhard 0.6l flat-2 \| 5 row 17 : 55 \| s 1.5 \| 40 \| porsche kg \| richard von frankenberg helm \| porsche 550/4 rs 1500 spy \| porsche 1.5l flat-4 \| 4 ] Execute this SQL based on the above table: select count ( class ) where pos > 544	0
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select role where role = 'simona'	simona
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| palestra italia-sp \| 18 \| 9 \| 9 \| 0 \| 0 \| 33 \| 8 \| 25 row 2 : 2 \| auto \| 14 \| 9 \| 7 \| 0 \| 2 \| 25 \| 14 \| 11 row 3 : 3 \| corinthians \| 13 \| 9 \| 6 \| 1 \| 2 \| 26 \| 9 \| 17 row 4 : 4 \| santos \| 11 \| 9 \| 5 \| 1 \| 3 \| 24 \| 17 \| 7 row 5 : 5 \| silex \| 8 \| 9 \| 3 \| 2 \| 4 \| 17 \| 26 \| -9 row 6 : 6 \| sirio \| 7 \| 9 \| 3 \| 1 \| 5 \| 21 \| 20 \| 1 row 7 : 7 \| ypiranga-sp \| 7 \| 9 \| 3 \| 1 \| 5 \| 16 \| 22 \| -6 row 8 : 8 \| portuguesa \| 7 \| 9 \| 2 \| 3 \| 4 \| 17 \| 26 \| -9 row 9 : 9 \| aa sao bento \| 4 \| 9 \| 2 \| 0 \| 7 \| 9 \| 31 \| -22 row 10 : 10 \| sc internacional de sa \| 1 \| 9 \| 0 \| 1 \| 8 \| 9 \| 24 \| -15 ] Execute this SQL based on the above table: select team where team = 'aa sao bento'	aa sao bento
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 1 \| 2:30 pm \| nevada \| #19 \| memorial stadium • lincoln, \| abc \| w 52-10 \| 84078 row 2 : september 8 \| 11:00 am \| at wake forest \| #17 \| bb&t field • winston- \| espn \| w 20-17 \| 32483 row 3 : september 15 \| 7:00 pm \| #1 usc \| #14 \| memorial stadium • lincoln, \| abc \| l 31-49 \| 84959 row 4 : september 22 \| 11:30 am \| ball state \| #22 \| memorial stadium • lincoln, \| fsn ppv \| w 41-40 \| 84294 row 5 : september 29 \| 1:05 pm \| iowa state \| #22 \| memorial stadium • lincoln, \| None \| w 35-17 \| 84703 row 6 : october 6 \| 8:15 pm \| at #17 missouri \| #23 \| faurot field • columbia \| espn \| l 6-41 \| 70049 row 7 : october 13 \| 11:30 am \| oklahoma state \| None \| memorial stadium • lincoln, \| ppv \| l 14-45 \| 84334 row 8 : october 20 \| 1:05 pm \| texas a&m \| None \| memorial stadium • lincoln, \| None \| l 14-36 \| 84473 row 9 : october 27 \| 2:30 pm \| at #16 texas \| None \| darrell k royal-texas memorial \| abc \| l 25-28 \| 85968 row 10 : november 3 \| 11:30 am \| at #8 kansas \| None \| memorial stadium • lawrence, ks \| fsn \| l 39-76 \| 51910 row 11 : november 10 \| 11:30 am \| kansas state \| None \| memorial stadium • lincoln, \| versus \| w 73-31 \| 84665 row 12 : november 23 \| 11:00 am \| at colorado \| None \| folsom field • boulder, co (rival \| abc \| l 51-65 \| 51403 ] Execute this SQL based on the above table: select result where time = 1	w 35-17, l 14-36
[ header: name \| town \| deanery \| vicariate \| founded \| original ethnic community row 1 : st. ann \| hamden \| hamden-north haven \| new haven \| 1919 \| italian row 2 : st. anthony \| prospect \| naugatuck-cheshire \| waterbury \| 1943 \| none row 3 : ascension \| hamden \| hamden-north haven \| new haven \| 1964 \| none row 4 : st. bridget \| manchester \| manchester \| hartford \| 1870 \| none row 5 : st. catherine of sien \| west simsbury (simsbury \| farmington valley \| hartford \| 1971 \| none row 6 : st. christopher \| east hartford \| manchester \| hartford \| 1965 \| none row 7 : church of the epiphany \| cheshire \| naugatuck-cheshire \| waterbury \| 1967 \| none row 8 : st. francis xa \| new milford \| suburban waterbury \| waterbury \| 1871 \| none row 9 : st. gabriel \| windsor \| farmington valley \| hartford \| 1894 \| none row 10 : st. gertrude \| windsor \| farmington valley \| hartford \| 1947 \| none row 11 : st. hedwig \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1906 \| polish row 12 : holy infant \| orange \| west shore line \| new haven \| 1952 \| none row 13 : immaculate conception \| new hartford \| litchfield \| waterbury \| 1869 \| none row 14 : immaculate conception \| norfolk \| litchfield \| waterbury \| 1889 \| none row 15 : st. john the evangelis \| new britain \| new britain \| hartford \| 1916 \| none row 16 : st. joseph \| canaan \| litchfield \| waterbury \| 1920 \| none row 17 : st. joseph \| winsted (winchester) \| litchfield \| waterbury \| 1853 \| none row 18 : st. lawrence \| west haven \| west shore line \| new haven \| 1886 \| none row 19 : st. margaret mary \| south windsor \| manchester \| hartford \| 1961 \| none row 20 : st. mary \| newington \| suburban hartford \| hartford \| 1924 \| none row 21 : st. mary \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1907 \| none row 22 : st. mary \| unionville (farmington) \| farmington valley \| hartford \| 1874 \| none row 23 : st. mary \| windsor locks \| enfield \| hartford \| 1852 \| none row 24 : st. michael \| waterbury \| waterbury \| waterbury \| 1897 \| none row 25 : our lady of loreto \| waterbury \| waterbury \| waterbury \| 1971 \| portuguese row 26 : our lady of mt. carmel \| waterbury \| waterbury \| waterbury \| 1923 \| italian row 27 : our lady of the lakes \| new milford \| suburban waterbury \| waterbury \| 1990 \| none row 28 : st. patrick \| collinsville (canton) \| farmington valley \| hartford \| 1856 \| none row 29 : st. peter \| torrington \| litchfield \| waterbury \| 1910 \| italian row 30 : st. peter claver \| west hartford \| suburban hartford \| hartford \| 1966 \| none row 31 : sacred heart \| new haven \| new haven \| new haven \| 1876 \| none row 32 : st. stanislaus \| bristol \| bristol \| waterbury \| 1919 \| polish ] Execute this SQL based on the above table: select count ( original ethnic community ) where name > 1773	32
[ header: year \| award \| result \| category \| series row 1 : 2004 \| bet comedy awards \| won \| outstanding supporting actor in a comedy series \| scrubs row 2 : 2002 \| bet comedy awards \| won \| outstanding supporting actor in a comedy series \| scrubs row 3 : 2004 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 4 : 2005 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 5 : 2006 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 6 : 2007 \| teen choice awards \| nominated \| choice tv sidekick \| scrubs row 7 : 2005 \| naacp image awards \| nominated \| outstanding supporting actor in a comedy series \| scrubs row 8 : 2006 \| naacp image awards \| nominated \| outstanding actor in a comedy series \| scrubs row 9 : 2007 \| naacp image awards \| nominated \| outstanding actor in a comedy series \| scrubs row 10 : 2008 \| naacp image awards \| nominated \| outstanding actor in a comedy series \| scrubs ] Execute this SQL based on the above table: select result where award < ( select award where result = 'nominated' ) order by award desc limit 1	nominated
[ header: value \| diameter \| composition \| 1979-1989 obverse \| 1979-1989 reverse row 1 : 1 cent \| 18 mm \| bronze \| state arms \| frigate birds row 2 : 2 cents \| 21 mm \| bronze \| state arms \| b'abal plant row 3 : 5 cents \| 19 mm \| cupronickel \| state arms \| tokay gecko row 4 : 10 cents \| 24 mm \| cupronickel \| state arms \| breadfruit row 5 : 20 cents \| 29 mm \| cupronickel \| state arms \| dolphins row 6 : 50 cents \| 32 mm \| cupronickel \| state arms \| panda nut plant row 7 : 1 dollar \| 30 mm \| cupronickel \| state arms \| outrigger canoe row 8 : 2 dollars \| 29 mm \| nickel-brass \| state arms \| meeting lodge/"tenth anniversary of independence" ] Execute this SQL based on the above table: select 1979-1989 obverse where composition = 'cupronickel'	state arms, state arms, state arms, state arms, state arms
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| palestra italia-sp \| 18 \| 9 \| 9 \| 0 \| 0 \| 33 \| 8 \| 25 row 2 : 2 \| auto \| 14 \| 9 \| 7 \| 0 \| 2 \| 25 \| 14 \| 11 row 3 : 3 \| corinthians \| 13 \| 9 \| 6 \| 1 \| 2 \| 26 \| 9 \| 17 row 4 : 4 \| santos \| 11 \| 9 \| 5 \| 1 \| 3 \| 24 \| 17 \| 7 row 5 : 5 \| silex \| 8 \| 9 \| 3 \| 2 \| 4 \| 17 \| 26 \| -9 row 6 : 6 \| sirio \| 7 \| 9 \| 3 \| 1 \| 5 \| 21 \| 20 \| 1 row 7 : 7 \| ypiranga-sp \| 7 \| 9 \| 3 \| 1 \| 5 \| 16 \| 22 \| -6 row 8 : 8 \| portuguesa \| 7 \| 9 \| 2 \| 3 \| 4 \| 17 \| 26 \| -9 row 9 : 9 \| aa sao bento \| 4 \| 9 \| 2 \| 0 \| 7 \| 9 \| 31 \| -22 row 10 : 10 \| sc internacional de sa \| 1 \| 9 \| 0 \| 1 \| 8 \| 9 \| 24 \| -15 ] Execute this SQL based on the above table: select count ( * ) where team - team >= 303	0
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select left office where left office in ( 'may 18, 1950' , 'november 23, 1931' ) order by # desc limit 1	may 18, 1950
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| raffaele pinto \| arnaldo bernacchini \| fiat abarth 124 rallye \| 6:26:15 \| 0 \| 20 row 2 : 2 \| alcide paganelli \| ninni russo \| fiat abarth 124 rallye \| 6:30:12 \| 3.57 \| None row 3 : 3 \| markku alen \| ilkka kivimaki \| fiat abarth 124 rallye \| 6:37:17 \| 11.02 \| None row 4 : 4 \| ove andersson \| arne hertz \| toyota corolla \| 6:40:54 \| 14.39 \| 10 row 5 : 5 \| harry kallstrom \| claes billstam \| datsun 260z \| 6:54:27 \| 28.12 \| 8 row 6 : 6 \| bob neyret \| yveline vanoni \| alpine-renault a110 1800 \| 7:04:18 \| 38.03 \| 6 row 7 : 7 \| georg fischer \| harald gottlieb \| bmw 2002 \| 7:05:02 \| 38.47 \| 4 row 8 : 8 \| francisco romaozinho \| jose bernardo \| citroen gs \| 7:17:04 \| 50.49 \| 3 row 9 : 9 \| chris sclater \| neil wilson \| ford escort rs1 \| 7:26:59 \| 1:00.44 \| 2 row 10 : 10 \| antonio borges \| miguel sottomayor \| fiat 124 sport spyder \| 7:27:55 \| 1:01.40 \| None ] Execute this SQL based on the above table: select co-driver order by time limit 369	arnaldo bernacchini, ninni russo, ilkka kivimaki, arne hertz, claes billstam, yveline vanoni, harald gottlieb, jose bernardo, neil wilson, miguel sottomayor
[ header: year \| goalkeeper \| defenders \| midfielders \| forwards row 1 : 1988 \| tony meola, virginia \| jeff agoos, virginia \| henry gutierrez, nc \| scott benedetti, portl row 2 : 1993 \| tim deck, wisconsin \| shane batelle, st \| brian kamler, creighton ja \| keith defini, creighton row 3 : 1996 \| jon busch, charlotte \| tahj jakins, u \| mike fisher, virginia \| tony kuhn, vander row 4 : 1998 \| adin brown, william & \| matt chulis, virginia \| lazo alavanja, indian \| chris albright, virginia row 5 : 2000 \| chris hamblin, boston \| chris gbandi, \| carl bussey, sm \| chris carrieri, unc row 6 : 2001 \| byron foss, sm \| chris gbandi, \| luchi gonzalez, \| nicholas mccrea row 7 : 2009 \| jeff attinella, south flori \| bobby warshaw, stanford \| kyle nakazawa, \| teal bunbury, akron col ] Execute this SQL based on the above table: select count ( * ) where forwards = 'chris albright, virginia seth george, ucla dema kovalenko, indiana richard mulrooney, creighton'	0
[ header: province \| capital \| population \| density \| municipalities \| legal districts row 1 : almeria \| almeria \| 702819 \| 72.5 /km2 (188 / \| 102 municipalities \| 8 row 2 : cadiz \| cadiz \| 1243519 \| 158.8 /km2 (411 \| 44 municipalities \| 14 row 3 : cordoba \| cordoba \| 805857 \| 72.4 /km2 (188 / \| 75 municipalities \| 12 row 4 : granada \| granada \| 924550 \| 68.7 /km2 (178 \| 169 municipalities \| 9 row 5 : huelva \| huelva \| 521968 \| 47.7 /km2 (124 \| 79 municipalities \| 6 row 6 : jaen \| jaen \| 670600 \| 49.1 /km2 (127 \| 97 municipalities \| 10 row 7 : malaga \| malaga \| 1625827 \| 204.1 /km2 (529 / \| 101 municipalities \| 11 row 8 : seville \| seville \| 1928962 \| 129.2 /km2 (335 \| 105 municipalities \| 15 ] Execute this SQL based on the above table: select capital where legal districts = ( select legal districts where capital = 'jaen' ) + 1	malaga
[ header: number \| builder \| type \| date \| works number \| notes row 1 : 51 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74408 \| acquired new 1949, retired 1970/wrecke row 2 : 52 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74409 \| acquired new 1949, retired in 1970 and scrapped row 3 : 53 \| baldwin locomotive works \| ds4-4-1000 \| 1949 \| 74193 \| ex-pan american engineering w8380; row 4 : 54 \| baldwin locomotive works \| s-12 \| 1952/1953 \| 75823 \| ex-nw (3307); n row 5 : 55 \| baldwin locomotive works \| rs-12 \| 1955 \| 76024 \| decorated for the united states bicentennial row 6 : 56 \| baldwin locomotive works \| rs-12 \| 1955 \| 76105 \| nee mr 33, acquired row 7 : 57 \| baldwin locomotive works \| s-12 \| 1953 \| 75914 \| nee sp 1539, row 8 : 61 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 9 : 62 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 10 : 63 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. sold to nv row 11 : 64 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3411. operational and in row 12 : 65 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3412. operational row 13 : 66 \| electro-motive diesel \| gp9m \| 1956 \| None \| former c&o # 6145. acquired row 14 : 67 \| electro-motive diesel \| gp9m \| 6/1954 \| 19554 \| built as bangor and aroosto row 15 : m-80 \| mack \| railbus \| 1923 \| None \| purchased 1925. wrecked twice: in 1957 row 16 : m-100 \| edwards rail car company \| motor car \| 1925 \| None \| acquired from moorhead & north fork row 17 : m-200 \| ss&iw \| motor car \| 1927 \| None \| ex-trc #22; n row 18 : m-300 \| american car and foundry company \| motor car \| 1935 \| None \| m-300 at fort bragg ex ] Execute this SQL based on the above table: select notes order by works number desc limit 1	nee mr 33, acquired 1970, retired 1985 to john bradley, 1985; to travel town museum (los angeles, ca)56
[ header: name \| date of birth \| club \| division \| appointed \| time as manager row 1 : francis bosschaerts \| 15 october 1956 \| heist \| belgian second division \| 1 june 1999 \| 15 years, 25 days row 2 : hein vanhaezebrouck \| 16 february 1964 \| kortrijk \| belgian pro league \| 6 june 2010 \| 4 years, 20 days row 3 : arnauld mercier \| 4 june 1972 \| boussu dour \| belgian second division \| 21 april 2011 \| 3 years, 66 days row 4 : frank defays \| 23 january 1974 \| virton \| belgian second division \| 6 june 2011 \| 3 years, 20 days row 5 : serhiy serebrenni \| 1 september 1976 \| roeselare \| belgian second division \| 30 june 2011 \| 2 years, 361 days row 6 : regi van acker \| 25 april 1955 \| hoogstraten \| belgian second division \| 23 november 2011 \| 2 years, 215 days row 7 : eric franken \| None \| asv geel \| belgian second division \| 20 march 2012 \| 2 years, 98 days row 8 : john van den brom \| 4 october 1966 \| anderlecht \| belgian pro league \| 30 may 2012 \| 2 years, 27 days row 9 : tintin marquez \| 7 january 1962 \| eupen \| belgian second division \| 6 july 2012 \| 1 year, 355 days row 10 : lorenzo staelens \| 30 april 1964 \| cercle brugge \| belgian pro league \| 2 april 2013 \| 1 year, 85 days row 11 : dennis van wijk \| 16 december 1962 \| westerlo \| belgian second division \| 29 april 2013 \| 1 year, 58 days row 12 : yannick ferrera \| 24 september 1980 \| sint-truiden \| belgian second division \| 24 may 2013 \| 1 year, 33 days row 13 : jimmy floyd hasse \| 27 march 1972 \| antwerp \| belgian second division \| 29 may 2013 \| 1 year, 28 days row 14 : philippe medery \| None \| vise \| belgian second division \| 31 may 2013 \| 1 year, 26 days row 15 : felice mazzu \| 12 march 1966 \| charleroi \| belgian pro league \| 1 june 2013 \| 1 year, 25 days row 16 : stijn vreven \| 18 july 1973 \| lommel united \| belgian second division \| 1 june 2013 \| 1 year, 25 days row 17 : guido brepoels \| 7 june 1961 \| dessel sport \| belgian second division \| 24 september 2013 \| 0 years, 275 days row 18 : mircea rednic \| 9 april 1962 \| gent \| belgian pro league \| 1 october 2013 \| 0 years, 268 days row 19 : bob peeters \| 10 january 1974 \| waasland-beveren \| belgian pro league \| 5 november 2013 \| 0 years, 233 days row 20 : rachid chihab \| None \| mouscron-peruwelz \| belgian second division \| 19 december 2013 \| 0 years, 189 days row 21 : franky vercauteren \| 28 october 1956 \| mechelen \| belgian pro league \| 5 january 2014 \| 0 years, 172 days row 22 : jean-guy wallemme \| 10 august 1967 \| rwdm brussels \| belgian second division \| 30 january 2014 \| 0 years, 147 days row 23 : rene desaeyere \| 14 september 1947 \| aalst \| belgian second division \| 5 february 2014 \| 0 years, 141 days ] Execute this SQL based on the above table: select name group by name order by count ( * ) asc limit 1	arnauld mercier
[ header: season \| premiere date \| the winner \| runner-up \| finalists \| contestants in order of elimination \| number of contestants \| number of concerts row 1 : af1 \| june 21, 2004 \| vit (v2) \| jeen (v1) \| aof (v6), z- \| joomjim (v5), por \| 12 \| 9 row 2 : af2 \| july 18, 2005 \| aof (v4) \| pat (v6) \| boy (v8), pas (v9), \| joe (v12), loog \| 12 \| 12 row 3 : af4 \| june 18, 2007 \| nat (v1) \| tol (v9) \| papang (v3), music (v8) \| cat (v11), tee ( \| 12 (20) \| 13 row 4 : af5 \| may 12, 2008 \| natthew (v13) \| ron (v12) \| pump (v8), good (v10), \| green (v16), micky (v6) \| 12 (16) \| 12 row 5 : af6 \| june 28, 2009 \| zani (v6) \| ann (v10) \| tee (v5), & \| koonjae-sal ( \| 12 \| 12 row 6 : af7 \| june 27, 2010 \| por (v12) \| ton (v13) \| boss (v10), new (v4), \| pum (v7), ben (v \| 12 (100) \| 12 row 7 : af9 \| june 3, 2012 \| ice (v8) \| zo (v1) \| bright(v5), nest(v7) \| k (v6), sunny (v11 \| 12 (24) \| 15 row 8 : af10 \| june 23, 2013 \| tungbeer (v20) \| tayme (v6) \| tuey (v21), beam \| tung (v13), taeng \| 24 \| 12 ] Execute this SQL based on the above table: select count ( number of concerts ) where season > 0	8
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code \| u.s. viewers (millions) row 1 : 1 \| 1 \| "pilot" \| jace alexander \| matt nix \| june 28, 2007 \| bn100 \| 4 row 2 : 2 \| 2 \| "identity" \| rod hardy \| matt nix \| july 5, 2007 \| bn101 \| 4 row 3 : 3 \| 3 \| "fight or flight" \| colin bucksey \| craig o'neill \| july 12, 2007 \| bn103 \| None row 4 : 4 \| 4 \| "old friends" \| david solomon \| alfredo barrios, jr \| july 19, 2007 \| bn102 \| None row 5 : 5 \| 5 \| "family business" \| sandy bookstaver \| matt nix \| july 26, 2007 \| bn104 \| None row 6 : 6 \| 6 \| "unpaid debts" \| paul holahan \| nick thiel \| august 2, 2007 \| bn105 \| 4.41 row 7 : 7 \| 7 \| "broken rules" \| tim matheson \| mere smith \| august 9, 2007 \| bn106 \| None row 8 : 8 \| 8 \| "wanted man" \| ken girotti \| craig o'neill \| august 16, 2007 \| bn107 \| None row 9 : 9 \| 9 \| "hard bargain" \| john kretchmer \| alfredo barrios, jr \| august 23, 2007 \| bn108 \| 4.08 row 10 : 10 \| 10 \| "false flag" \| paul shapiro \| matt nix & ben wa \| september 13, 2007 \| bn109 \| 4 row 11 : 11 \| 11 \| "dead drop" \| jeremiah chechik \| craig o'neill \| september 20, 2007 \| bn110 \| 4.8 row 12 : 12 \| 12 \| "loose ends" \| stephen surjik \| matt nix & alfred \| september 20, 2007 \| bn111 \| 4.8 ] Execute this SQL based on the above table: select count ( no. in series ) where original air date < 5	1
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select abs ( ( select year where album = 'non-album singles' ) - ( select year where album = 'after dark' ) )	4
[ header: airline \| icao \| iata \| callsign \| commenced operations row 1 : air uganda \| uga \| u7 \| uganda \| 2007 row 2 : eagle air (uganda) \| egu \| h7 \| african eagle \| 1994 row 3 : fly540 uganda \| ful \| None \| orange crane \| 2008 row 4 : pearl air services \| pby \| None \| pearl services \| None row 5 : royal daisy airlines \| kdr \| 6d \| darlines \| 2005 row 6 : skyjet airlines \| sju \| uq \| skyjet \| 2003 row 7 : africa safari air \| asa \| as \| asa \| 2013 row 8 : uganda air cargo \| ucc \| None \| uganda cargo \| 1994 row 9 : united airlines limited \| None \| None \| None \| None ] Execute this SQL based on the above table: select airline order by id desc limit 1	united airlines limited
[ header: year \| derby winner \| galaxy \| draw \| chivas row 1 : 2005 \| galaxy \| 5 \| 0 \| 0 row 2 : 2006 \| galaxy \| 2 \| 1 \| 1 row 3 : 2007 \| chivas \| 1 \| 1 \| 2 row 4 : 2008 \| galaxy \| 1 \| 2 \| 0 row 5 : 2009 \| galaxy \| 3 \| 2 \| 0 row 6 : 2010 \| galaxy \| 2 \| 0 \| 0 row 7 : 2011 \| galaxy \| 2 \| 0 \| 0 row 8 : 2012 \| galaxy \| 2 \| 0 \| 1 row 9 : 2013 \| galaxy \| 2 \| 1 \| 0 row 10 : total \| None \| 20 \| 7 \| 4 ] Execute this SQL based on the above table: select count ( derby winner ) where draw = 0	4
[ header: year \| local radio station \| local radio announcers \| foreign language radio station \| foreign language radio announcers \| local television station \| local television announcers \| cable television station \| cable television announcers row 1 : 1941 \| whn \| red barber al helfer \| None \| None \| None \| None \| None \| None row 2 : 1946 \| whn \| red barber connie desmond \| None \| None \| None \| None \| None \| None row 3 : 1956 \| wmgm \| connie desmond vin scully al \| whom \| buck canel herb marine \| wor-tv \| connie desmond vin scully al \| None \| None row 4 : 1970 \| kfi \| vin scully jerry dogget \| kwkw \| jaime jarrin jose garcia \| kttv \| vin scully jerry dogget \| None \| None row 5 : 1976 \| kabc \| vin scully jerry dogget \| kwkw \| jaime jarrin rudy ho \| kttv \| vin scully jerry dogget \| None \| None row 6 : 1980 \| kabc \| vin scully jerry dogget \| ktnq \| jaime jarrin rudy ho \| kttv \| vin scully jerry dogget \| ontv \| geoff witcher al downing row 7 : 1984 \| kabc \| vin scully jerry dogget \| ktnq \| jaime jarrin rene card \| kttv \| vin scully jerry dogget \| ontv \| eddie doucette al downing row 8 : 1990 \| kabc \| vin scully ross porter don \| kwkw kazn \| jaime jarrin rene card \| kttv \| vin scully ross porter don \| sportschannel \| joel meyers ron row 9 : 1995 \| kabc \| vin scully ross porter \| kwkw kypa \| jaime jarrin rene card \| ktla \| vin scully ross porter \| none \| none row 10 : 2006 \| kfwb \| vin scully rick monday \| kwkw \| jaime jarrin pepe y \| kcal \| vin scully charley stein \| fsn west 2 \| vin scully charley stein ] Execute this SQL based on the above table: select sum ( year ) where local television station in ( 'wor-tv' , 'kttv' , 'ktla' , 'kcal' )	15857
[ header: season \| head coach \| overall record \| conference record row 1 : 1931 \| tom conley \| 4-4 \| None row 2 : 1932 \| tom conley \| 4-2-2 \| None row 3 : 1933 \| marty brill \| 3-3-2 \| None row 4 : 1934 \| marty brill \| 7-0-1 \| None row 5 : 1935 \| marty brill \| 4-4-1 \| None row 6 : 1936 \| marty brill \| 6-4-1 \| None row 7 : 1937 \| marty brill \| 2-7 \| None row 8 : 1938 \| marty brill \| 4-4 \| None row 9 : 1939 \| marty brill \| 6-1-1 \| None row 10 : 1940 \| jim henry \| 6-2 \| None row 11 : 1941 \| jim henry \| 5-3 \| None row 12 : 1997 \| bill manlove \| 1-8 \| None row 13 : 1998 \| bill manlove \| 3-6 \| None row 14 : 1999 \| bill manlove \| 4-6 \| 3-5 (t-6th/9) row 15 : 2000 \| bill manlove \| 7-4 \| 4-3 (4th/8) row 16 : 2001 \| bill manlove \| 5-4 \| 2-4 (t-5th/8) row 17 : 2002 \| archie stalcup \| 2-9 \| 2-6 (t-7th/9) row 18 : 2003 \| archie stalcup \| 3-8 \| 2-3 (t-3rd/6) row 19 : 2004 \| phil longo \| 3-7 \| 1-3 (t-3rd/5) row 20 : 2005 \| phil longo \| 4-7 \| 2-2 (t-3rd/5) row 21 : 2006 \| tim miller \| 3-7 \| 1-3 (t-4th/5) row 22 : 2007 \| tim miller \| 0-10 \| 0-3 (4th/4) ] Execute this SQL based on the above table: select conference record where season > ( select season where overall record = '5-3' )	3-5 (t-6th/9), 4-3 (4th/8), 2-4 (t-5th/8), 2-6 (t-7th/9), 2-3 (t-3rd/6), 1-3 (t-3rd/5), 2-2 (t-3rd/5), 1-3 (t-4th/5), 0-3 (4th/4)
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select title where notes is null order by id limit 1410	the x factor, never mind the buzzcocks, 90210
[ header: type \| power [w] \| relative cost \| input range [v] \| energy storage \| features row 1 : flyback \| 0-250 \| 1 \| 5-600 \| mutual inductors \| isolated form of the buck-boost row 2 : ringing choke converter (rcc) \| 0-150 \| 1 \| 5-600 \| transformer \| low-cost self-oscillating row 3 : half-forward \| 0-250 \| 1.2 \| 5-500 \| inductor \| None row 4 : forward \| 100-200 \| None \| 60-200 \| inductor \| isolated form of buck converter row 5 : resonant forward \| 0-60 \| 1 \| 60-400 \| inductor and capacitor \| single rail input, unregulated output, high efficiency row 6 : push-pull \| 100-1,000 \| 1.75 \| 50-1,000 \| inductor \| None row 7 : half-bridge \| 0-2,000 \| 1.9 \| 50-1,000 \| inductor \| None row 8 : full-bridge \| 400-5,000 \| >2.0 \| 50-1,000 \| inductor \| very efficient use of transformer, used for highest powers row 9 : resonant, zero voltage switched \| >1,000 \| >2.0 \| None \| inductor and capacitor \| None row 10 : isolated cuk \| None \| None \| None \| two capacitors and two inductors \| None ] Execute this SQL based on the above table: select count ( * ) where features < 160	0
[ header: season \| tier \| division \| place row 1 : 2005/06 \| 5 \| 1a aut. pref \| None row 2 : 2006/07 \| 4 \| 3a \| 19th row 3 : 2007/08 \| 5 \| 1a aut. pref \| 2nd row 4 : 2008/09 \| 4 \| 3a \| 18th row 5 : 2009/10 \| 5 \| 1a aut. pref \| 3rd row 6 : 2010/11 \| 5 \| 1a aut. pref \| 9th row 7 : 2011/12 \| 5 \| 1a aut. pref \| 8th row 8 : 2012/13 \| 5 \| 1a aut. pref \| 11th row 9 : 2013/14 \| 5 \| 1a aut. pref \| None ] Execute this SQL based on the above table: select place where id = ( select id where place = '9th' ) - 1	3rd
[ header: place (posicion) \| team (equipo) \| played (pj) \| won (pg) \| draw (pe) \| lost (pp) \| goals scored (gf) \| goals conceded (gc) \| +/- (dif.) \| points (pts.) row 1 : 1 \| tauro f.c \| 13 \| 7 \| 2 \| 4 \| 21 \| 18 \| +3 \| 23 row 2 : 2 \| san francisco f.c \| 13 \| 5 \| 6 \| 2 \| 19 \| 15 \| +4 \| 21 row 3 : 3 \| chepo f.c \| 13 \| 5 \| 5 \| 3 \| 19 \| 12 \| +7 \| 20 row 4 : 4 \| sporting san miguelito \| 13 \| 6 \| 2 \| 5 \| 18 \| 16 \| +2 \| 20 row 5 : 5 \| arabe unido \| 13 \| 6 \| 2 \| 5 \| 15 \| 14 \| +1 \| 20 row 6 : 6 \| plaza amador \| 13 \| 4 \| 7 \| 2 \| 13 \| 9 \| +4 \| 19 row 7 : 7 \| chorrillo f.c \| 13 \| 3 \| 7 \| 3 \| 14 \| 13 \| +1 \| 16 row 8 : 8 \| atletico chiriqui \| 13 \| 4 \| 3 \| 6 \| 14 \| 22 \| -8 \| 15 row 9 : 9 \| atletico veraguense \| 13 \| 2 \| 5 \| 6 \| 15 \| 28 \| -13 \| 11 row 10 : 10 \| alianza \| 13 \| 3 \| 1 \| 9 \| 25 \| 27 \| -2 \| 10 ] Execute this SQL based on the above table: select team (equipo) order by team (equipo) desc limit 1	tauro f.c
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1982 \| african championships \| cairo, egyp \| 1st \| marathon \| 2:21:05 row 2 : 1982 \| commonwealth games \| brisbane, australia \| 2nd \| marathon \| 2:09:30 row 3 : 1983 \| world championships \| helsinki, finland \| 15th \| marathon \| 2:13:11 row 4 : 1983 \| melbourne marathon \| melbourne, australia \| 1st \| marathon \| 2:13:50 row 5 : 1984 \| tokyo marathon \| tokyo, japan \| 1st \| marathon \| 2:10:49 row 6 : 1984 \| olympic games \| los angeles, united states \| 6th \| marathon \| 2:11:10 row 7 : 1984 \| melbourne marathon \| melbourne, australia \| 1st \| marathon \| 2:15:31 row 8 : 1986 \| tokyo marathon \| tokyo, japan \| 1st \| marathon \| 2:08:10 row 9 : 1986 \| fukuoka marathon \| fukuoka, japan \| 1st \| marathon \| 2:10:06 row 10 : 1987 \| world championships \| rome, italy \| 6th \| marathon \| 2:13:43 row 11 : 1987 \| beijing marathon \| beijing, pr china \| 1st \| marathon \| 2:12:19 row 12 : 1988 \| olympic games \| seoul, south korea \| 7th \| marathon \| 2:13:06 row 13 : 1988 \| boston marathon \| boston, united states \| 2nd \| marathon \| None row 14 : 1989 \| new york city marathon \| new york, united states \| 1st \| marathon \| 2:08:01 row 15 : 1989 \| boston marathon \| boston, united states \| 2nd \| marathon \| None row 16 : 1990 \| boston marathon \| boston, united states \| 2nd \| marathon \| None row 17 : 1992 \| olympic games \| barcelona, spain \| 34th \| marathon \| 2:19:34 row 18 : 1993 \| world championships \| stuttgart, germany \| 21st \| marathon \| 2:24:23 row 19 : 1995 \| world championships \| gothenburg, sweden \| 43rd \| marathon \| 2:30:53 ] Execute this SQL based on the above table: select count ( * ) where venue = 'cairo, egypt'	1
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 14 \| robert doornbos \| minardi team usa \| 107 \| 1:45:07.617 \| 15 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 107 \| +6.1 secs \| 5 \| 27 row 3 : 3 \| 3 \| oriol servia \| forsythe racing \| 107 \| +6.9 secs \| 4 \| 26 row 4 : 4 \| 5 \| will power \| team australia \| 107 \| +7.5 secs \| 12 \| 23 row 5 : 5 \| 1 \| sebastien bourdais \| n/h/l racing \| 107 \| +8.0 secs \| 2 \| 21 row 6 : 6 \| 2 \| graham rahal \| n/h/l racing \| 107 \| +9.6 secs \| 6 \| 19 row 7 : 7 \| 19 \| bruno junqueira \| dale coyne racing \| 107 \| +14.0 secs \| 10 \| 17 row 8 : 8 \| 22 \| tristan gommendy \| pkv racing \| 107 \| +19.2 secs \| 8 \| 15 row 9 : 9 \| 42 \| jan heylen \| conquest racing \| 107 \| +28.5 secs \| 13 \| 13 row 10 : 10 \| 15 \| simon pagenaud \| team australia \| 107 \| +48.4 secs \| 9 \| 11 row 11 : 11 \| 3 \| paul tracy \| forsythe championship racing \| 105 \| + 2 laps \| 11 \| 10 row 12 : 12 \| 28 \| mario dominguez \| pacific coast motorsports \| 104 \| + 3 laps \| 14 \| 12 row 13 : 13 \| 22 \| justin wilson \| rsports \| 87 \| + 20 laps \| 1 \| 8 row 14 : 14 \| 29 \| alex figge \| pacific coast motorsports \| 34 \| contact \| 0 \| 7 row 15 : 15 \| 11 \| alex tagliani \| rsports \| 83 \| mechanical \| 8 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 13 \| contact \| 16 \| 5 row 17 : 17 \| 4 \| dan clarke \| minardi team usa \| 3 \| contact \| 3 \| 4 ] Execute this SQL based on the above table: select count ( driver ) where grid = 0	1
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select year where director = 'joe nussbaum'	2007
[ header: rank \| diver \| preliminary points \| preliminary rank \| final points \| final rank \| final total row 1 : 1 \| ingrid kramer (eua \| 56.3 \| 1 \| 34.98 \| 2 \| 91.28 row 2 : 2 \| paula jean myers-pope \| 54.7 \| 2 \| 35.24 \| 1 \| 89.94 row 3 : 3 \| ninel krutova (urs) \| 53.38 \| 3 \| 33.61 \| 3 \| 86.99 row 4 : 4 \| juno stover-irwin ( \| 51.9 \| 6 \| 31.69 \| 4 \| 83.59 row 5 : 5 \| raisa gorokhovskaya \| 51.53 \| 8 \| 31.5 \| 5 \| 83.03 row 6 : 6 \| norma thomas (gbr \| 51.77 \| 7 \| 30.44 \| 7 \| 82.21 row 7 : 7 \| nicolle darrigrand- \| 49.68 \| 12 \| 31.5 \| 5 \| 81.18 row 8 : 8 \| phyllis long (gbr) \| 52.12 \| 5 \| 28.86 \| 9 \| 80.98 row 9 : 9 \| irene macdonald (can \| 51.31 \| 9 \| 29.18 \| 8 \| 80.49 row 10 : 10 \| kumiko watanabe ( \| 51.04 \| 10 \| 28.56 \| 10 \| 79.6 row 11 : 11 \| kanoko tsutani- \| 49.76 \| 11 \| 28.14 \| 11 \| 77.9 row 12 : 12 \| birte christoffersen- \| 53.03 \| 4 \| 24.4 \| 12 \| 77.43 row 13 : 13 \| maria teresa adam \| 49.54 \| 13 \| None \| None \| None row 14 : 14 \| hanna laursen (den) \| 48.89 \| 14 \| None \| None \| None row 15 : 15 \| gabriele schope (eu \| 48.81 \| 15 \| None \| None \| None row 16 : 16 \| bende velin (den) \| 48.35 \| 16 \| None \| None \| None row 17 : 17 \| laura conter (ita) \| 45.55 \| 17 \| None \| None \| None row 18 : 18 \| susan knight (aus) \| 43.03 \| 18 \| None \| None \| None ] Execute this SQL based on the above table: select count ( rank )	18
[ header: school \| location \| control \| type \| enrollment \| founded row 1 : air force institute of technology \| wright-patterson af \| public \| dru \| 719 \| 1919 row 2 : california institute of technology \| pasadena, californi \| private \| ru/vh \| 2231 \| 1891 row 3 : california polytechnic state \| san luis obispo, \| public \| master's l \| 18762 \| 1901 row 4 : california state polytechnic \| pomona, california \| public \| master's l \| 22273 \| 1938 row 5 : clarkson university \| potsdam, ny \| private \| ru/h \| 3187 \| 1896 row 6 : colorado school of mines \| golden, colorado \| public \| ru/h \| 4296 \| 1874 row 7 : colorado technical university \| colorado springs, colorad \| private \| dru \| 30020 \| 1965 row 8 : florida institute of technology \| melbourne, florida \| private \| dru \| 8985 \| 1958 row 9 : georgia institute of technology \| atlanta, georgia \| public \| ru/vh \| 20487 \| 1885 row 10 : illinois institute of technology \| chicago, illinois \| private \| ru/h \| 7787 \| 1890 row 11 : massachusetts institute of technology \| cambridge, massachusetts \| private \| ru/vh \| 10894 \| 1861 row 12 : michigan technological university \| houghton, michigan \| public \| ru/h \| 6957 \| 1885 row 13 : missouri university of science and technology \| rolla, missouri \| public \| ru/h \| 7521 \| 1870 row 14 : montana tech of the university of montan \| butte, montana \| public \| bac/diverse \| 2694 \| 1900 row 15 : new jersey institute of technology \| newark, new jersey \| private \| ru/h \| 9558 \| 1881 row 16 : new mexico institute of mining and technology \| socorro, new mexico \| public \| master's m \| 1921 \| 1889 row 17 : oregon institute of technology \| klamath falls, oregon \| public \| bac/diverse \| 3927 \| 1947 row 18 : polytechnic institute of new york university \| brooklyn, new york \| private \| ru/h \| 4514 \| 1854 row 19 : rensselaer polytechnic institute \| troy, new york \| private \| ru/vh \| 7521 \| 1824 row 20 : rochester institute of technology \| henrietta, new york \| private \| master's l \| 17652 \| 1829 row 21 : rose-hulman institute of technology \| terre haute, indiana \| private \| spec/engg \| 1970 \| 1874 row 22 : south dakota school of mines and technology \| rapid city, south dakota \| public \| spec/engg \| 2354 \| 1885 row 23 : southern polytechnic state university \| marietta, georgia \| public \| master's m \| 6202 \| 1948 row 24 : stevens institute of technology \| hoboken, new jersey \| private \| ru/h \| 5260 \| 1870 row 25 : texas tech university \| lubbock, texas \| public \| ru/h \| 32327 \| 1923 row 26 : university of wisconsin-stout \| menomonie, wisconsin \| public \| master's l \| 9339 \| 1891 row 27 : virginia polytechnic institute and state university \| blacksburg, virginia \| public \| ru/vh \| 30739 \| 1872 ] Execute this SQL based on the above table: select location group by location order by count ( * ) desc limit 1	wright-patterson afb, ohio
[ header: region \| seed \| team \| coach \| finished \| final opponent \| score row 1 : west \| 4 \| unlv \| jerry tarkanian \| sweet sixteen \| 8 auburn \| l 70-63 row 2 : west \| 8 \| auburn \| sonny smith \| regional runner-up \| 2 louisville \| l 84-76 row 3 : west \| 11 \| missouri \| norm stewart \| round of 64 \| 6 uab \| l 66-64 row 4 : west \| 13 \| northeast louisiana \| mike vining \| round of 64 \| 4 unlv \| l 74-51 row 5 : west \| 14 \| utah \| lynn archibald \| round of 64 \| 3 north carolina \| l 84-72 row 6 : midwest \| 1 \| kansas \| larry brown \| national semifinals \| 1 duke \| l 71-67 row 7 : midwest \| 3 \| notre dame \| digger phelps \| round of 64 \| 14 arkansas-little rock \| l 90-83 row 8 : midwest \| 4 \| georgetown \| john thompson \| round of 32 \| 5 michigan state \| l 80-68 row 9 : midwest \| 5 \| michigan state \| jud heathcote \| sweet sixteen \| 1 kansas \| l 96-86 row 10 : midwest \| 6 \| north carolina state \| jim valvano \| regional runner-up \| 1 kansas \| l 75-67 row 11 : midwest \| 7 \| iowa state \| johnny orr \| sweet sixteen \| 6 north carolina state \| l 70-66 row 12 : midwest \| 8 \| jacksonville \| bob wenzel \| round of 64 \| 9 temple \| l 61-50 row 13 : midwest \| 10 \| miami, ohio \| jerry peirson \| round of 64 \| 7 iowa state \| l 81-79 row 14 : midwest \| 12 \| washington \| andy russo \| round of 64 \| 5 michigan state \| l 72-70 row 15 : midwest \| 13 \| texas tech \| gerald myers \| round of 64 \| 4 georgetown \| l 70-64 row 16 : midwest \| 14 \| arkansas-little rock \| mike newell \| round of 32 \| 6 north carolina state \| l 80-66 row 17 : southeast \| 3 \| memphis state (vacated) \| dana kirk \| round of 32 \| 11 lsu \| l 83-81 row 18 : southeast \| 6 \| purdue \| gene keady \| round of 64 \| 11 lsu \| l 94-87 row 19 : southeast \| 8 \| western kentucky \| clem haskins \| round of 32 \| 1 kentucky \| l 71-64 row 20 : southeast \| 9 \| nebraska \| moe iba \| round of 64 \| 8 western kentucky \| l 67-59 row 21 : southeast \| 13 \| fairfield \| mitch buonaguro \| round of 64 \| 4 illinois \| l 75-51 row 22 : southeast \| 15 \| marist \| matt furjanic \| round of 64 \| 2 georgia tech \| l 68-53 row 23 : east \| 1 \| duke \| mike krzyzewski \| runner up \| 2 louisville \| l 72-69 row 24 : east \| 2 \| syracuse \| jim boeheim \| round of 32 \| 7 navy \| l 97-85 row 25 : east \| 3 \| indiana \| bob knight \| round of 64 \| 14 cleveland state \| l 83-79 row 26 : east \| 8 \| old dominion \| tom young \| round of 32 \| 1 duke \| l 89-61 ] Execute this SQL based on the above table: select coach where id = ( select id where coach = 'john thompson' ) + 1	jud heathcote
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select count ( * ) where time > 374	0
[ header: date \| time \| opponent \| site \| tv \| result \| attendance \| record row 1 : 11/09/2013 \| 1:00 pm \| trinity baptist \| moore gymnasium • daytona \| None \| w 91-74 \| 409 \| 1-0 row 2 : 11/12/2013 \| 7:00 pm \| at south florida \| usf sun dome • tampa, \| espn3 \| l 65-91 \| 3549 \| 1-1 row 3 : 11/19/2013 \| 7:00 pm \| trinity (fl) \| moore gymnasium • daytona \| None \| w 98-55 \| 1180 \| 2-2 row 4 : 11/21/2013 \| 7:00 pm \| fiu \| moore gymnasium • daytona \| None \| l 67-82 \| None \| 2-3 row 5 : 11/27/2013 \| 4:00 pm \| at new mexico state \| moby arena • fort collins, \| None \| l 52-66 \| 2945 \| 2-5 row 6 : 11/29/2013 \| 9:00 pm \| vs. prairie view a&m \| butler-hancock sports pavilion • gre \| None \| l 80-89 \| 102 \| 2-6 row 7 : 11/30/2013 \| 9:00 pm \| at northern colorado \| butler-hancock sports pavilion • gre \| None \| l 60-65 \| None \| 2-7 row 8 : 12/03/2013 \| 7:00 pm \| at stetson \| edmunds center • del \| None \| l 52-56 \| 1056 \| 2-8 row 9 : 12/09/2013 \| 7:00 pm \| at hampton \| hampton convocation center • hampton \| None \| l 52-85 \| 1428 \| 2-10 (0-2) row 10 : 12/17/2013 \| 7:00 pm \| at youngstown state \| beeghly center • youngstown \| None \| l 59-71 \| 1399 \| 2-12 row 11 : 12/21/2013 \| 7:00 pm \| at north florida \| unf arena • jacksonville, \| None \| l 64-68 \| 617 \| 2-13 row 12 : 12/30/2013 \| 8:00 pm \| at detroit \| calihan hall • detroit, \| None \| l 53-73 \| 3107 \| 2-14 row 13 : 01/11/2014 \| 4:00 pm \| north carolina a&t \| moore gymnasium • daytona \| None \| l 67-70 \| 1091 \| 2-16 (0-3) row 14 : 01/13/2014 \| 7:30 pm \| north carolina central \| moore gymnasium • daytona \| None \| l 49-64 \| 1210 \| 2-17 (0-4) row 15 : 01/18/2014 \| 6:00 pm \| at savannah state \| tiger arena • savannah \| None \| l 60-70 ot \| 3220 \| 2-18 (0-5) row 16 : 01/20/2014 \| 7:30 pm \| at south carolina state \| shm memorial center • orangeburg, s \| None \| l 67-69 \| 751 \| 2-19 (0-6) row 17 : 01/27/2014 \| 7:30 pm \| howard \| moore gymnasium • daytona \| None \| w 58-47 \| 1216 \| 4-19 (2-6) row 18 : 02/01/2014 \| 4:00 pm \| savannah state \| moore gymnasium • daytona \| None \| l 40-50 \| 1075 \| 4-20 (2-7) row 19 : 02/03/2014 \| 7:30 pm \| south carolina state \| moore gymnasium • daytona \| None \| w 91-59 \| 1063 \| 5-20 (3-7) ] Execute this SQL based on the above table: select count ( * ) where record = '2-10 (0-2)'	1
[ header: yacht \| nation \| owner \| skipper \| launch year row 1 : afr midnight rambler \| (nsw) \| ed psaltis \| ed psaltis \| 2002 row 2 : another challenge \| (vic) \| chris lewin \| chris lewin \| 2000 row 3 : another fiasco \| (qld) \| damian suckling \| damian suckling \| 1994 row 4 : balance \| (nsw) \| paul clitheroe \| paul clitheroe \| 2006 row 5 : bear necessity \| (nsw) \| andrew & pauline d \| andrew dally \| 2007 row 6 : berrimilla \| (nsw) \| alex whitworth \| alex whitworth \| 1977 row 7 : george gregan foundation \| (nsw) \| peter goldsworthy \| david witt \| 2001 row 8 : georgia \| (vic) \| john williams/graeme \| john williams \| 2000 row 9 : getaway sailing 2 \| (vic) \| peter tarimo \| jay pettifer \| 2000 row 10 : global yacht racing - kioni \| (nsw) \| kioni sailing services p/l \| richard falk \| 2001 row 11 : helsal iv \| (tas) \| tony fisher \| rob fisher \| 1986 row 12 : huckleberry \| (wa) \| steve humphries \| steve humphries \| 1982 row 13 : hugo boss ii \| None \| alex thomson racing \| ross daniel \| 2001 row 14 : ichi ban \| (nsw) \| matt allen \| matt allen \| 2005 row 15 : imarex \| (nsw) \| marc & louis ryckmans \| ola strand andersen \| 2000 row 16 : jazz \| None \| chris bull \| chris bull \| 2003 row 17 : living doll \| (vic) \| michael hiatt \| michael hiatt \| 2005 row 18 : mr kite \| (nsw) \| andrew buckland/andre \| andrew buckland/andre \| 2005 row 19 : noonmark vi \| None \| sir geoffrey mulcahy \| mike gilburt \| 1998 row 20 : quantum racing \| (nsw) \| ray roberts \| ray roberts \| 2007 row 21 : quetzalcoatl \| (nsw) \| bruce/hampshire/lee \| antony sweetapple \| 2001 row 22 : ragamuffin \| (nsw) \| syd fischer \| syd fischer \| 2004 row 23 : rosebud \| None \| roger sturgeon \| roger sturgeon \| 2007 row 24 : scarlet runner \| (vic) \| robert date \| robert date \| 2001 row 25 : secret men's business #1 \| (nsw) \| smb syndicate \| ross trembath/r cur \| 1996 row 26 : sextant \| (nsw) \| denis doyle \| denis doyle \| 1999 row 27 : shogun \| (vic) \| rob hanna \| rob hanna \| 2007 row 28 : toyota aurion \| (nsw) \| andrew short \| andrew short \| 1993 row 29 : wild oats xi \| (nsw) \| bob oatley \| mark richards \| 2005 row 30 : wot's next \| (nsw) \| graeme wood \| bill sykes \| 2005 ] Execute this SQL based on the above table: select launch year where owner = 'peter tarimo'	2000
[ header: club \| nickname \| no. of premierships \| premiership years \| moved to row 1 : calleen (previously hiawath \| blues \| 0 \| none \| disbanded in 1932 row 2 : condobolin-milby \| kangaroos \| 3 \| 1966-67, 1990 \| disbanded in 2003 row 3 : four corners \| redlegs \| 13 \| 1928-29-30-31-32, 1937, 1949 \| disbanded in 1994 row 4 : kikoira \| None \| 2 \| 1940-41 \| disbanded row 5 : lake cargelligo \| swans \| 0 \| none \| amalgamated with lake cargelligo tig row 6 : parkes \| panthers \| 0 \| none \| central west afl in 2008 row 7 : tallimba \| hawks \| 0 \| none \| disbanded in 1987 row 8 : west milby \| None \| 1 \| 1936 \| disbanded row 9 : young \| saints \| 0 \| none \| central west afl ] Execute this SQL based on the above table: select abs ( ( select no. of premierships where nickname = 'panthers' ) - ( select no. of premierships where nickname = 'panthers' ) )	0.0
[ header: rank \| bib \| country \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| total \| behind row 1 : None \| 1 \| canada (can-1) \| kaillie humphries heat \| 57.39 \| 57.73 \| 57.57 \| 57.92 \| 3:50.61 \| None row 2 : None \| 2 \| united states (usa-1) \| elana meyers laury \| 57.26 \| 57.63 \| 57.69 \| 58.13 \| 3:50.71 \| 0.1 row 3 : None \| 3 \| united states (usa-2) \| jamie greubel aja evan \| 57.45 \| 58 \| 58 \| 58.16 \| 3:51.61 \| 1 row 4 : 4 \| 9 \| netherlands (ned-1) \| esme kamphuis jud \| 57.94 \| 58.1 \| 58.2 \| 58.03 \| 3:52.27 \| 1.66 row 5 : 5 \| 4 \| germany (ger-1) \| sandra kiriasis \| 57.95 \| 58.08 \| 58.06 \| 58.2 \| 3:52.29 \| 1.68 row 6 : 7 \| 5 \| germany (ger-2) \| cathleen martini christ \| 57.99 \| 58.42 \| 58.17 \| 58.13 \| 3:52.71 \| 2.1 row 7 : 8 \| 8 \| switzerland (sui- \| fabienne meyer tanja may \| 58.18 \| 58.34 \| 58.29 \| 58.39 \| 3:53.20 \| 2.59 row 8 : 9 \| 11 \| russia (rus-1) \| olga stulneva \| 58.03 \| 58.24 \| 58.45 \| 58.74 \| 3:53.46 \| 2.85 row 9 : 10 \| 6 \| germany (ger-3) \| anja schneiderheinze stephan \| 58.17 \| 58.3 \| 58.53 \| 58.74 \| 3:53.74 \| 3.13 row 10 : 11 \| 7 \| united states (usa-3) \| jazmine fenlator lolo \| 58.27 \| 58.46 \| 58.5 \| 58.74 \| 3:53.97 \| 3.36 row 11 : 12 \| 12 \| great britain (gbr- \| paula walker rebekah \| 58.36 \| 58.4 \| 58.88 \| 58.6 \| 3:54.24 \| 3.63 row 12 : 13 \| 13 \| canada (can-2) \| jennifer ciochetti \| 58.43 \| 58.63 \| 58.72 \| 58.71 \| 3:54.49 \| 3.88 row 13 : 14 \| 14 \| australia (aus-1) \| astrid radjenovic jan \| 58.62 \| 58.5 \| 59.06 \| 58.37 \| 3:54.55 \| 3.94 row 14 : 15 \| 15 \| austria (aut-1) \| christina hengster viol \| 58.59 \| 58.56 \| 58.73 \| 58.91 \| 3:54.79 \| 4.18 row 15 : 16 \| 17 \| russia (rus-2) \| nadezhda serge \| 58.8 \| 58.69 \| 59.27 \| 59.1 \| 3:55.86 \| 5.25 row 16 : 17 \| 16 \| romania (rou-1) \| maria constantin andreea grecu \| 59.04 \| 59.08 \| 59.38 \| 59.09 \| 3:56.59 \| 5.98 ] Execute this SQL based on the above table: select count ( * ) where country = 'romania (rou-1)'	1
[ header: outcome \| no. \| date \| championship \| surface \| opponent \| score row 1 : runner-up \| 1 \| 1973 \| baltimore, u.s \| hard (i) \| jimmy connors \| 4-6, 5-7 row 2 : winner \| 1 \| 1974 \| baltimore, u.s \| carpet \| clark graebner \| 6-2, 6-1 row 3 : runner-up \| 2 \| 1974 \| birmingham, u.s \| carpet \| jimmy connors \| 5-7, 3-6 row 4 : winner \| 2 \| 1974 \| paramus, u.s \| indoor \| jurgen fassbender \| 6-1, 6-3 row 5 : winner \| 3 \| 1974 \| jackson, u.s \| carpet \| karl meiler \| 7-6, 7-5 row 6 : runner-up \| 3 \| 1975 \| maui, u.s \| hard \| jimmy connors \| 1-6, 0-6 row 7 : runner-up \| 4 \| 1975 \| hong kong \| hard \| tom gorman \| 3-6, 1-6, 1-6 row 8 : winner \| 4 \| 1977 \| little rock, u.s \| carpet \| haroon rahim \| 6-2, 6-4 row 9 : runner-up \| 5 \| 1977 \| san jose, u.s \| hard \| jiri hrebec \| 6-3, 4-6, 5-7 row 10 : winner \| 5 \| 1977 \| hampton, u.s \| carpet \| stan smith \| 4-6, 6-3, 6-2, row 11 : winner \| 6 \| 1977 \| stockholm, sweden \| hard (i) \| raymond moore \| 6-2, 6-4 row 12 : winner \| 7 \| 1978 \| st. louis wct \| carpet \| eddie dibbs \| 7-6, 6-4 row 13 : runner-up \| 6 \| 1980 \| surbiton, england \| grass \| brian gottfried \| 3-6, 3-6 row 14 : runner-up \| 7 \| 1981 \| los angeles, u.s \| hard \| john mcenroe \| 7-6, 3-6, 3-6 row 15 : runner-up \| 8 \| 1981 \| cologne, germany \| hard (i) \| ivan lendl \| 3-6, 3-6 row 16 : runner-up \| 9 \| 1981 \| stockholm, sweden \| hard (i) \| gene mayer \| 4-6, 2-6 row 17 : winner \| 8 \| 1981 \| bologna, italy \| carpet \| ilie nastase \| 7-5, 6-3 row 18 : runner-up \| 10 \| 1982 \| stuttgart outdoor, germany \| clay \| ramesh krishn \| 7-5, 3-6, 3-6, row 19 : winner \| 9 \| 1982 \| cleveland, u.s \| hard \| robert van't hof \| 7-5, 6-3 row 20 : winner \| 10 \| 1983 \| gstaad, switze \| clay \| tomas smid \| 6-0, 6-3, 6-2 ] Execute this SQL based on the above table: select surface where score <= 2	hard
[ header: team \| winners \| runners-up \| years won \| years runner-up row 1 : liverpool \| 8 \| 3 \| 1981, 1982, 1983, 1984, 1995, \| 1978, 1987, 2005 row 2 : aston villa \| 5 \| 3 \| 1961, 1975, 1977, 1994, 1996 \| 1963, 1971, 2010 row 3 : manchester united \| 4 \| 4 \| 1992, 2006, 2009, 2010 \| 1983, 1991, 1994, 2003 row 4 : tottenham hotspur \| 4 \| 3 \| 1971, 1973, 1999, 2008 \| 1982, 2002, 2009 row 5 : chelsea \| 4 \| 2 \| 1965, 1998, 2005, 2007 \| 1972, 2008 row 6 : nottingham forest \| 4 \| 2 \| 1978, 1979, 1989, 1990 \| 1980, 1992 row 7 : leicester city \| 3 \| 2 \| 1964, 1997, 2000 \| 1965, 1999 row 8 : manchester city \| 3 \| 1 \| 1970, 1976, 2014 \| 1974 row 9 : arsenal \| 2 \| 5 \| 1987, 1993 \| 1968, 1969, 1988, 2007, 2011 row 10 : norwich city \| 2 \| 2 \| 1962, 1985 \| 1973, 1975 row 11 : birmingham city \| 2 \| 1 \| 1963, 2011 \| 2001 row 12 : wolverhampton wanderers \| 2 \| 0 \| 1974, 1980 \| None row 13 : west bromwich albion \| 1 \| 2 \| 1966 \| 1967, 1970 row 14 : middlesbrough \| 1 \| 2 \| 2004 \| 1997, 1998 row 15 : queens park rangers \| 1 \| 1 \| 1967 \| 1986 row 16 : leeds united \| 1 \| 1 \| 1968 \| 1996 row 17 : stoke city \| 1 \| 1 \| 1972 \| 1964 row 18 : luton town \| 1 \| 1 \| 1988 \| 1989 row 19 : sheffield wednesday \| 1 \| 1 \| 1991 \| 1993 row 20 : swindon town \| 1 \| 0 \| 1969 \| None row 21 : oxford united \| 1 \| 0 \| 1986 \| None row 22 : blackburn rovers \| 1 \| 0 \| 2002 \| None row 23 : swansea city \| 1 \| 0 \| 2013 \| None row 24 : west ham united \| 0 \| 2 \| None \| 1966, 1981 row 25 : everton \| 0 \| 2 \| None \| 1977, 1984 row 26 : bolton wanderers \| 0 \| 2 \| None \| 1995, 2004 row 27 : sunderland \| 0 \| 2 \| None \| 1985, 2014 row 28 : rotherham united \| 0 \| 1 \| None \| 1961 row 29 : rochdale \| 0 \| 1 \| None \| 1962 row 30 : newcastle united \| 0 \| 1 \| None \| 1976 row 31 : southampton \| 0 \| 1 \| None \| 1979 row 32 : oldham athletic \| 0 \| 1 \| None \| 1990 row 33 : tranmere rovers \| 0 \| 1 \| None \| 2000 row 34 : wigan athletic \| 0 \| 1 \| None \| 2006 row 35 : cardiff city \| 0 \| 1 \| None \| 2012 row 36 : bradford city \| 0 \| 1 \| None \| 2013 ] Execute this SQL based on the above table: select team order by runners-up desc limit 1	arsenal
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 12 august 1998 \| asim ferhatovic hase stadium, \| faroe islands \| 1–0 \| 1–0 \| uefa euro 2000 qualifying row 2 : 2 \| 14 october 1998 \| zalgiris stadium, vilnius \| lithuania \| 2–2 \| 2–4 \| uefa euro 2000 qualifying row 3 : 3 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 1–1 \| 4–1 \| uefa euro 2000 qualifying row 4 : 4 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 2–1 \| 4–1 \| uefa euro 2000 qualifying row 5 : 5 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 3–1 \| 4–1 \| uefa euro 2000 qualifying row 6 : 6 \| 9 october 1999 \| kadriorg stadium, tallin \| estonia \| 4–1 \| 4–1 \| uefa euro 2000 qualifying row 7 : 7 \| 2 september 2000 \| asim ferhatovic hase stadium, \| spain \| 1-1 \| 1–2 \| 2002 fifa world cup qualification row 8 : 8 \| 15 august 2001 \| asim ferhatovic hase stadium, \| malta \| 1–0 \| 2–0 \| friendly match row 9 : 9 \| 15 august 2001 \| asim ferhatovic hase stadium, \| malta \| 2–0 \| 2–0 \| friendly match row 10 : 10 \| 7 october 2001 \| asim ferhatovic hase stadium, \| liechtenstein \| 2–0 \| 5–0 \| 2002 fifa world cup qualification row 11 : 11 \| 7 october 2001 \| asim ferhatovic hase stadium, \| liechtenstein \| 4–0 \| 5–0 \| 2002 fifa world cup qualification row 12 : 12 \| 11 october 2002 \| asim ferhatovic hase stadium, \| germany \| 1–0 \| 1–1 \| friendly match row 13 : 13 \| 13 february 2003 \| millennium stadium, cardiff \| wales \| 1–0 \| 2–2 \| friendly match row 14 : 14 \| 2 april 2003 \| parken stadium, copenhagen \| denmark \| 2–0 \| 2–0 \| uefa euro 2004 qualifying ] Execute this SQL based on the above table: select goal order by goal desc limit 1	14.0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select site group by site order by count ( date ) desc limit 1	memorial stadium • lincoln, nebraska
[ header: pos \| team \| total \| high \| low \| average \| change row 1 : 1 \| honda motor \| 13178 \| 3305 \| 402 \| 879 \| -11.9% row 2 : 2 \| sc tottori \| 12281 \| 2124 \| 401 \| 819 \| None row 3 : 3 \| ntt west kumamoto \| 10394 \| 1378 \| 324 \| 693 \| None row 4 : 4 \| ehime fc \| 9896 \| 1250 \| 348 \| 660 \| None row 5 : 5 \| tochigi sc \| 9723 \| 1141 \| 285 \| 648 \| -38.2% row 6 : 6 \| otsuka pharmaceuticals \| 8975 \| 2391 \| 284 \| 598 \| +18.4% row 7 : 7 \| ykk fc \| 8093 \| 2477 \| 198 \| 540 \| None row 8 : 8 \| sony sendai \| 7817 \| 886 \| 342 \| 521 \| -52.3% row 9 : 9 \| yokogawa fc \| 7334 \| 1198 \| 240 \| 489 \| -30.4% row 10 : 10 \| alo's hokuriku \| 6380 \| 1801 \| 180 \| 425 \| -12.1% row 11 : 11 \| jatco fc \| 6329 \| 1075 \| 167 \| 422 \| -36.7% row 12 : 12 \| sagawa express \| 5365 \| 1054 \| 48 \| 358 \| None row 13 : 13 \| denso sc \| 5344 \| 831 \| 119 \| 356 \| -17.7% row 14 : 14 \| kyoken kyoto \| 5262 \| 468 \| 203 \| 351 \| -9.0% row 15 : 15 \| shizuoka sangyo university \| 4013 \| 803 \| 101 \| 268 \| -48.8% row 16 : 16 \| kokushikan university \| 3298 \| 414 \| 54 \| 220 \| -28.3% row 17 : None \| league total \| 123682 \| 3305 \| 48 \| 515 \| -42.8% ] Execute this SQL based on the above table: select team where low > ( select low where team = 'shizuoka sangyo university' ) order by low limit 1	denso sc
[ header: rank \| hospital \| city \| county \| # beds \| type of hospital row 1 : 4 \| sonoma developmental center \| eldridge \| sonoma \| 1300 \| mental health row 2 : 6 \| fairview developmental center \| costa mesa \| orange \| 1218 \| mental health row 3 : 7 \| porterville developmental center \| porterville \| tulare \| 1210 \| mental health row 4 : 10 \| veterans home of california \| yountville \| napa \| 1100 \| veteran admin row 5 : 11 \| metropolitan state hospital \| norwalk \| los angeles \| 1096 \| mental health row 6 : 12 \| va palo alto health care system \| palo alto \| santa clara \| 967 \| veteran admin row 7 : 13 \| cedars-sinai medical center \| west hollywood \| los angeles \| 952 \| general acute care row 8 : 14 \| loma linda university medica center \| loma linda \| san bernardino \| 822 \| university/teaching row 9 : 15 \| ucla medical center \| los angeles \| los angeles \| 668 \| general acute care row 10 : 18 \| ucsd medical center \| san diego \| san diego \| 594 \| university/teaching row 11 : 19 \| ucsf medical center mount zion \| san francisco \| san francisco \| 579 \| general acute care row 12 : 20 \| ucd medical center \| sacramento \| sacramento \| 577 \| university/teaching row 13 : 23 \| harbor ucla medical center \| torrance \| los angeles \| 553 \| general acute care row 14 : 24 \| mission hospital regional medical center \| mission viejo \| orange \| 552 \| general acute care row 15 : 25 \| alta bates summit medical center \| berkeley \| alameda \| 551 \| general acute care row 16 : 26 \| san francisco general hospital \| san francisco \| san francisco \| 550 \| general acute care row 17 : 27 \| ucsf medical center at parn \| san francisco \| san francisco \| 536 \| general acute care row 18 : 29 \| santa clara valley medical center \| san jose \| santa clara \| 524 \| general acute care row 19 : 30 \| scripps mercy hospital \| san diego \| san diego \| 523 \| general acute care row 20 : 31 \| huntington memorial hospital \| pasadena \| los angeles \| 522 \| general acute care row 21 : 33 \| grossmont hospital \| la mesa \| san diego \| 481 \| general acute care row 22 : 34 \| doctors medical center \| modesto \| stanislaus \| 465 \| general acute care row 23 : 35 \| st. bernardine medical \| san bernardino \| san bernardino \| 463 \| general acute care row 24 : 36 \| uci medical center \| orange \| orange \| 462 \| general acute care row 25 : 37 \| stanford medical center \| stanford \| santa clara \| 460 \| general acute care row 26 : 39 \| methodist hospital \| arcadia \| los angeles \| 455 \| general acute care row 27 : 40 \| providence st. joseph \| burbank \| los angeles \| 455 \| general acute care row 28 : 42 \| agnews developmental center \| san jose \| santa clara \| 450 \| mental health row 29 : 43 \| jewish home \| san francisco \| san francisco \| 450 \| nursing homes row 30 : 44 \| st. joseph hospital orange \| orange \| orange \| 448 \| general acute care row 31 : 45 \| presbyterian intercommunity \| whittier \| los angeles \| 441 \| general acute care ] Execute this SQL based on the above table: select count ( hospital ) where city = 'torrance'	1
[ header: \| \| \| \| \| row 1 : world record \| snatch \| akakios kakias \| 188 kg \| athens, greece \| 27 november 1999 row 2 : world record \| clean & jerk \| szymon kołecki \| 232 kg \| sofia, bulgaria \| 29 april 2000 row 3 : world record \| total \| akakios kakias \| 412 kg \| athens, greece \| 27 november 1999 row 4 : asian record \| snatch \| kourosh bagheri ( \| 187 kg \| sydney, australia \| 24 september 2000 row 5 : asian record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 6 : asian record \| total \| kourosh bagheri ( \| 407 kg \| antalya, turkey \| 9 november 2001 row 7 : games record \| snatch \| bakhyt akhmetov \| 185 kg \| busan, south korea \| 8 october 2002 row 8 : games record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 9 : games record \| total \| bakhyt akhmetov \| 400 kg \| busan, south korea \| 8 october 2002 ] Execute this SQL based on the above table: select count ( ) where = '400 kg'	0
[ header: religious group \| population % \| growth (1991-2001) \| sex ratio (total) \| literacy (%) \| work participation (%) \| sex ratio (rural) \| sex ratio (urban) \| sex ratio (child) row 1 : hindu \| 80.46% \| 20.3% \| 931 \| 65.1% \| 40.4% \| 944 \| 894 \| 925 row 2 : muslim \| 13.43% \| 29.3% \| 936 \| 59.1% \| 31.3% \| 953 \| 907 \| 950 row 3 : christian \| 2.34% \| 22.6% \| 1009 \| 80.3% \| 39.7% \| 1001 \| 1026 \| 964 row 4 : sikh \| 1.87% \| 18.2% \| 893 \| 69.4% \| 37.7% \| 895 \| 886 \| 786 row 5 : buddhist \| 0.77% \| 18.2% \| 953 \| 72.7% \| 40.6% \| 958 \| 944 \| 942 row 6 : animist, others \| 0.72% \| 103.1% \| 992 \| 47.0% \| 48.4% \| 995 \| 966 \| 976 row 7 : jain \| 0.41% \| 26.0% \| 940 \| 94.1% \| 32.9% \| 937 \| 941 \| 870 ] Execute this SQL based on the above table: select sex ratio (total) where growth (1991-2001) = '22.6%'	1009
[ header: material \| formula \| refractive index(es) 589.3 nm \| dispersion 431 - 687 nm \| hardness (mohs' scale) \| density (g/cm3) \| thermal cond. \| state of the art row 1 : diamond \| c \| 2.417 \| 0.044 \| 10 \| 3.52 \| excellent \| (natural) row 2 : glasses \| silica with pb, al, \| ~ 1.6 \| > 0.020 \| < 6 \| 2.4 - 4.2 \| poor \| 1700 - row 3 : white sapphire \| al2o3 \| 1.762 - 1.770 \| 0.018 \| 9 \| 3.97 \| poor \| 1900-1947 row 4 : spinel \| mgo·al2o3 \| 1.727 \| 0.02 \| 8 \| ~ 3.6 \| poor \| 1920-1947 row 5 : rutile \| tio2 \| 2.62 - 2.9 \| 0.33 \| ~ 6 \| 4.25 \| poor \| 1947-1955 row 6 : strontium titanate \| srtio3 \| 2.41 \| 0.19 \| 5.5 \| 5.13 \| poor \| 1955-1970 row 7 : yag \| y3al5o12 \| 1.83 \| 0.028 \| 8.25 \| 4.55 - 4.65 \| poor \| 1970-1975 row 8 : ggg \| gd3ga5o12 \| 1.97 \| 0.045 \| 7 \| 7.02 \| poor \| 1973-1975 row 9 : cubic zirconia \| zro2(+ rare earths \| ~ 2.2 \| ~ 0.06 \| ~ 8.3 \| ~ 5.7 \| poor \| 1976 - row 10 : moissanite \| sic \| 2.648 - 2.691 \| 0.104 \| 8.5-9.25 \| 3.2 \| high \| 1998 - row 11 : quartz \| silica \| 1.543 - 1.554 \| None \| 7- \| 2.50 - 2.65 \| None \| ancient ] Execute this SQL based on the above table: select count ( thermal cond. ) where density (g/cm3) in ( select density (g/cm3) order by density (g/cm3) desc limit 10 ) and formula = 'y3al5o12'	1
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1 may 2000 \| rasmee dhandu \| maldives \| 1-1 \| 1-1 \| 2000 mff golden jubile row 2 : 2 \| 25 august 2000 \| ho chi minh city, vietnam \| vietnam \| 2-1 \| 2-2 \| 2000 hcm cup row 3 : 3 \| 28 march 2001 \| colombo, sri lan \| cambodia \| 1-0 \| 1-0 \| friendly row 4 : 5 \| 30 may 2001 \| suphachalasai stadium, ban \| pakistan \| 1-0 \| 3-1 \| 2002 fifa world cup qualification (af row 5 : 6 \| 30 may 2001 \| supachalasai stadium \| pakistan \| 3-0 \| 3-1 \| 2002 fifa world cup qualification (af row 6 : 7 \| 4 april 2002 \| sugathadasa stadium, colo \| maldives \| 1-0 \| 1-0 \| friendly row 7 : 10 \| 3 december 2003 \| sugathadasa stadium, colo \| laos \| 2-0 \| 3-0 \| 2006 fifa world cup qualification (af row 8 : 12 \| 12 april 2006 \| ma aziz stadium, chittagong \| nepal \| 1-0 \| 1-1 \| 2006 afc challenge cup row 9 : 13 \| 24 march 2007 \| sugathadasa stadium, colo \| malaysia \| 1-4 \| 1-4 \| friendly row 10 : 14 \| 2 april 2008 \| chungshan stadium, tai \| guam \| 5-1 \| 5-1 \| 2008 afc challenge cup qualification row 11 : 15 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 1-0 \| 7-1 \| 2008 afc challenge cup qualification row 12 : 16 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 4-1 \| 7-1 \| 2008 afc challenge cup qualification row 13 : 17 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 7-1 \| 7-1 \| 2008 afc challenge cup qualification row 14 : 19 \| 2 august 2008 \| gachibowli athletic stadium, \| myanmar \| 1-1 \| 1-3 \| 2008 afc challenge cup row 15 : 20 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 1-0 \| 5-1 \| 2010 afc challenge cup qualification row 16 : 21 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 3-0 \| 5-1 \| 2010 afc challenge cup qualification row 17 : 22 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 4-0 \| 5-1 \| 2010 afc challenge cup qualification row 18 : 23 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 5-0 \| 5-1 \| 2010 afc challenge cup qualification row 19 : 24 \| 6 april 2009 \| sugathadasa stadium, colo \| chinese taipei \| 1-0 \| 2-1 \| 2010 afc challenge cup qualification ] Execute this SQL based on the above table: select date order by # asc limit 1	1 may 2000
[ header: year \| league \| record \| finish \| manager \| playoffs \| notes row 1 : 1947 \| sunset league \| 69-69 \| 4th \| thomas lloyd \| None \| None row 2 : 1955 \| california league \| 40-106 \| 8th \| leonard noren \| None \| channel cities moved to reno july row 3 : 1956 \| california league \| 73-67 \| 4th \| ray perry \| lost in 1st round \| None row 4 : 1957 \| california league \| 79-59 \| 2nd \| ray perry \| lost league finals \| None row 5 : 1958 \| california league \| 68-69 \| 6th \| ray perry \| None \| None row 6 : 1959 \| california league \| 81-58 \| 2nd \| ray perry \| None \| None row 7 : 1960 \| california league \| 89-51 \| 1st \| tom saffell \| league champs \| None row 8 : 1961 \| california league \| 97-43 \| 1st \| roy smalley \| league champs \| None row 9 : 1962 \| california league \| 70-68 \| 4th \| roy smalley \| lost league finals \| None row 10 : 1963 \| california league \| 71-69 \| 5th \| tom saffell \| None \| None row 11 : 1964 \| california league \| 66-71 \| 6th \| tom saffell / har \| none \| None row 12 : 1966 \| california league \| 69-71 \| 4th (t) \| phil cavarretta \| None \| None row 13 : 1967 \| california league \| 56-82 \| 8th \| phil cavarretta \| None \| None row 14 : 1968 \| california league \| 67-72 \| 5th \| clay bryant \| None \| None row 15 : 1969 \| california league \| 72-68 \| 3rd (t) \| ken aspromonte \| None \| None row 16 : 1970 \| california league \| 79-61 \| 2nd \| pinky may \| none \| None row 17 : 1971 \| california league \| 64-75 \| 7th \| pinky may \| None \| None row 18 : 1972 \| california league \| 50-88 \| 8th \| lou klimchock \| None \| None row 19 : 1973 \| california league \| 70-70 \| 4th (t) \| lou klimchock \| None \| None row 20 : 1976 \| california league \| 75-62 \| 3rd \| johnny goryl \| league champs \| None row 21 : 1977 \| california league \| 59-81 \| 5th \| glenn ezell \| None \| None row 22 : 1978 \| california league \| 62-78 \| 5th \| eddie watt \| None \| None row 23 : 1979 \| california league \| 74-67 \| 3rd \| eddie watt \| None \| None row 24 : 1980 \| california league \| 75-66 \| 2nd (t) \| jack maloof \| None \| None row 25 : 1981 \| california league \| 81-58 \| 2nd \| jack maloof \| lost in 1st round \| None row 26 : 1988 \| california league \| 39-103 \| 10th \| nate oliver \| None \| None row 27 : 1989 \| california league \| 68-74 \| 6th \| eli grba \| None \| None row 28 : 1992 \| california league \| 65-71 \| 8th \| gary jones \| None \| None ] Execute this SQL based on the above table: select playoffs where year = ( select year where finish = '6th' ) - 1	lost league finals
[ header: region \| country \| location \| size (m) \| payload (metric tonnes) \| degrees of freedom \| x horiz disp (mm) \| y horiz disp (mm) \| z vert disp (mm) \| x horiz vel (mm/s) \| y horiz vel (mm/s) \| z vert vel (mm/s) \| x horiz accel (m/s2) \| y horiz accel (m/s2) \| z vert accel (m/s2) \| max freq (hz) \| details checked row 1 : asia \| china \| xi'a university of architecture & \| 2 x 2 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : asia \| japan \| hitachi engineering corp \| 4 x 4 \| 20 \| 1 \| ±150 \| None \| None \| ±750 \| None \| None \| ±20 \| None \| None \| 30 \| None row 3 : asia \| japan \| ishikawajima harima \| 4.5 x 4.5 \| 35 \| 6 \| ±100 \| ±100 \| ±67 \| ±750 \| ±750 \| ±500 \| ±15 \| ±15 \| ±10 \| 50 \| None row 4 : asia \| japan \| kumagai-gumi corp \| 5 x 5 \| 64 \| 6 \| ±80 \| ±260 \| ±50 \| ±600 \| ±1500 \| ±500 \| ±30 \| ±10 \| ±10 \| 70 \| None row 5 : asia \| japan \| ministry of construction \| 6 x 8 \| 100 \| 2 \| ±75 \| None \| None \| ±600 \| None \| None \| ±7 \| None \| None \| 30 \| None row 6 : asia \| japan \| shimizu corporation \| 4 x 4 \| 20 \| 3 \| ±200 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| None row 7 : asia \| japan \| tobishima corp ltd \| 4 x 4 \| 20 \| 2 \| ±75 \| None \| None \| None \| None \| None \| ±15 \| None \| None \| 30 \| None row 8 : canada \| canada \| university of british columbia \| 4 x 4 \| 30 \| 6 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 9 : europe \| france \| commissariat a l'energie \| 4 x 3 \| 20 \| 1 \| ±125 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| 27/01/2011 row 10 : europe \| italy \| european centre for training & research in earthquake engineering \| 5.6 x 7 \| 140 \| 1 \| ±500 \| None \| None \| ±2200 \| None \| None \| 59 \| None \| None \| 50 \| None row 11 : europe \| italy \| european centre for training & research in earthquake engineering \| 1.6 x 4.4 \| 5000 (vertical load) \| 5 \| ±500 \| ±265 \| 140 \| ±2200 \| ±600 \| ±250 \| 18 \| None \| None \| 20 \| None row 12 : europe \| spain \| cedex \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 13 : usa \| colorado \| anco engineers, inc boulder, colora \| 3 x 3 \| 10 \| 3 \| ±200 \| ±200 \| ±200 \| ±2000 \| ±2000 \| ±2000 \| ±30 \| ±30 \| ±30 \| 40 \| 16/10/2012 ] Execute this SQL based on the above table: select max freq (hz) where location = 'kumagai-gumi corp ltd'	70
[ header: position \| song title \| artist \| sales \| highest position row 1 : 1 \| unchained melody/white cliffs \| robson green & jerome flyn \| 1,844,000 \| 1 row 2 : 2 \| gangsta's paradise \| coolio featuring l.v \| 1,110,000 \| 1 row 3 : 3 \| i believe/up on the roof \| robson green & jerome flyn \| 1,049,000 \| 1 row 4 : 4 \| back for good \| take that \| 960,000 \| 1 row 5 : 5 \| think twice \| celine dion \| 928,000 \| 1 row 6 : 6 \| fairground \| simply red \| 782,000 \| 1 row 7 : 7 \| you are not alone \| michael jackson \| 714,000 \| 1 row 8 : 8 \| earth song \| michael jackson \| 802,000 \| 1 row 9 : 9 \| missing \| everything but the girl \| 696,000 \| 3 row 10 : 10 \| wonderwall \| oasis \| 665,000 \| 2 row 11 : 11 \| boom boom boom \| outhere brothers \| 652,000 \| 1 row 12 : 12 \| country house \| blur \| 642,000 \| 1 row 13 : 13 \| father and son \| boyzone \| 620,000 \| 2 row 14 : 14 \| don't stop (wiggle wiggle \| outhere brothers \| 617,000 \| 1 row 15 : 15 \| boombastic \| shaggy \| 557,000 \| 1 row 16 : 16 \| cotton eye joe \| rednex \| 512,000 \| 1 row 17 : 17 \| set you free \| n-trance \| 503,000 \| 2 row 18 : 18 \| living next door to alice \| smokie featuring roy ch \| 495,000 \| 3 row 19 : 19 \| hold me, thrill me, kiss me, kill \| u2 \| 471,000 \| 2 row 20 : 20 \| roll with it \| oasis \| 456,000 \| 2 row 21 : 21 \| guaglione \| perez 'prez' prado \| 445,000 \| 2 row 22 : 22 \| i'll be there for you \| the rembrandts \| 421,000 \| 3 row 23 : 23 \| two can play that game \| bobby brown \| 413,000 \| 3 row 24 : 24 \| here comes the hotstepper \| ini kamoze \| 407,000 \| 4 row 25 : 25 \| shy guy \| diana king \| 405,000 \| 2 row 26 : 26 \| it's oh so quiet \| bjork \| 404,000 \| 4 row 27 : 27 \| never forget \| take that \| 403,000 \| 1 row 28 : 28 \| don't give me your life \| alex party \| 395,000 \| 2 row 29 : 29 \| waterfalls \| tlc \| 355,000 \| 4 row 30 : 30 \| scatman (ski ba bop ba \| scatman john \| 352,000 \| 2 row 31 : 31 \| some might say \| oasis \| 346,000 \| 1 row 32 : 32 \| you'll see \| madonna \| 342,000 \| 5 row 33 : 33 \| thunder \| east 17 \| 339,000 \| 4 row 34 : 34 \| stayin' alive \| n-trance featuring ricardo \| 335,000 \| 2 row 35 : 35 \| i'd lie for you (and that \| meat loaf \| 334,000 \| 2 row 36 : 36 \| common people \| pulp \| 326,000 \| 2 row 37 : 37 \| fantasy \| mariah carey \| 323,000 \| 4 row 38 : 38 \| i've got a little something for \| mn8 \| 317,000 \| 2 row 39 : 39 \| kiss from a rose/i'm alive \| seal \| 310,000 \| 4 row 40 : 40 \| dreamer \| livin' joy \| 303,000 \| 1 ] Execute this SQL based on the above table: select count ( artist ) where sales > 111	40
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : winner \| 1 \| 20 july 1981 \| bastad, sweden \| clay \| anders jarryd \| 6-2, 6-3 row 2 : runner-up \| 1 \| 21 september 1981 \| bordeaux, france \| clay \| andres gomez \| 6-7, 6-7, 1-6 row 3 : winner \| 2 \| 10 june 1985 \| bologna, italy \| clay \| claudio panatta \| 6-2, 6-0 row 4 : winner \| 3 \| 9 september 1985 \| palermo, italy \| clay \| joakim nystrom \| 6-2, 6-0 row 5 : winner \| 4 \| 23 september 1985 \| barcelona, spain \| clay \| mats wilander \| 0-6, 6-2, 3-6, row 6 : winner \| 5 \| 10 february 1986 \| metz, france \| indoor \| broderick dyke \| 6-4, 6-3 row 7 : runner-up \| 2 \| 28 april 1986 \| indianapolis, u.s \| clay \| andres gomez \| 4-6, 6-7(1-7) row 8 : runner-up \| 3 \| 28 july 1986 \| washington, d.c., \| clay \| karel novacek \| 1-6, 6-7(4-7) row 9 : runner-up \| 4 \| 8 september 1986 \| geneva, switzerland \| clay \| henri leconte \| 5-7, 3-6 ] Execute this SQL based on the above table: select max ( no. )	5.0
[ header: date \| opponent \| score \| leading scorer \| attendance \| record row 1 : may 17 \| @ indiana \| 53-64 \| nakia sanford (14) \| 10533 \| 0-1 row 2 : may 31 \| vs. los angeles \| 59-70 \| monique currie (15) \| 11517 \| 2-3 row 3 : june 3 \| @ phoenix \| 93-98 \| alana beard (33) \| 7561 \| 2-4 row 4 : june 8 \| @ connecticut \| 79-87 \| monique currie (28) \| 7174 \| 2-6 row 5 : june 11 \| vs. sacramento \| 76-79 \| taj mcwilliam \| 6146 \| 2-7 row 6 : june 13 \| @ chicago \| 64-57 \| alana beard (22) \| 2600 \| 3-7 row 7 : june 18 \| @ houston \| 67-63 \| alana beard (23) \| 7054 \| 4-7 row 8 : june 20 \| vs. atlanta \| 72-61 \| alana beard (18) \| 7448 \| 5-7 row 9 : june 29 \| @ seattle \| 49-64 \| alana beard (16) \| 7965 \| 6-9 row 10 : july 1 \| @ sacramento \| 81-87 \| alana beard (31) \| 5705 \| 6-10 row 11 : july 8 \| vs. indiana \| 50-48 \| taj mcwilliam \| 7587 \| 7-11 row 12 : july 11 \| @ detroit \| 66-79 \| coco miller (15) \| 8596 \| 7-12 row 13 : july 13 \| vs. connecticut \| 69-64 \| nikki blue (13) \| 9610 \| 8-12 row 14 : july 17 \| @ new york \| 56-77 \| alana beard (15) \| 8344 \| 8-13 row 15 : july 20 \| vs. seattle \| 89-57 \| taj mcwilliam \| 8543 \| 9-14 row 16 : july 27 \| vs. connecticut \| 60-82 \| taj mcwilliam \| 9357 \| 10-16 row 17 : august 29 \| vs. chicago \| 75-79 \| alana beard (18) \| 10043 \| 10-17 row 18 : august 30 \| @ minnesota \| 78-92 \| alana beard (27) \| 6980 \| 10-18 row 19 : september 2 \| vs. indiana \| 68-79 \| alana beard (17) \| 7244 \| 10-19 row 20 : september 6 \| vs. detroit \| 69-84 \| monique currie (15) \| 9976 \| 10-20 row 21 : september 11 \| @ detroit \| 66-78 \| alana beard (16) monique \| 8145 \| 10-22 row 22 : september 13 \| @ connecticut \| 81-87 \| monique currie (23) \| 8652 \| 10-23 row 23 : september 14 \| vs. minnesota \| 70-96 \| alana beard (17) \| 10438 \| 10-24 ] Execute this SQL based on the above table: select opponent where attendance = 9976	vs. detroit
[ header: sport \| gold \| silver \| bronze \| total row 1 : athletics \| 14 \| 8 \| 10 \| 32 row 2 : weightlifting \| 9 \| 2 \| 1 \| 12 row 3 : swimming \| 8 \| 7 \| 5 \| 20 row 4 : taekwondo \| 7 \| 3 \| 2 \| 12 row 5 : boxing \| 7 \| 1 \| 3 \| 11 row 6 : judo \| 5 \| 3 \| 6 \| 14 row 7 : canoeing \| 5 \| 2 \| 3 \| 10 row 8 : sailing \| 4 \| 3 \| 1 \| 8 row 9 : sepak takraw \| 4 \| 0 \| 0 \| 4 row 10 : wrestling \| 3 \| 5 \| 4 \| 12 row 11 : rowing \| 3 \| 3 \| 3 \| 9 row 12 : gymnastic - artistic \| 3 \| 2 \| 3 \| 8 row 13 : fencing \| 3 \| 1 \| 9 \| 13 row 14 : petanque \| 3 \| 1 \| 2 \| 6 row 15 : cycling \| 2 \| 8 \| 4 \| 14 row 16 : paragliding \| 3 \| 1 \| 2 \| 6 row 17 : fin swimming \| 2 \| 3 \| 7 \| 12 row 18 : tennis \| 2 \| 3 \| 4 \| 9 row 19 : golf \| 2 \| 3 \| 0 \| 5 row 20 : water ski \| 2 \| 2 \| 1 \| 5 row 21 : ekuestrian \| 2 \| 2 \| 1 \| 5 row 22 : bridge \| 2 \| 1 \| 2 \| 5 row 23 : billiard & snooker \| 2 \| 1 \| 1 \| 4 row 24 : futsal \| 2 \| 0 \| 0 \| 2 row 25 : volleyball \| 2 \| 0 \| 0 \| 2 row 26 : shooting \| 1 \| 6 \| 5 \| 12 row 27 : badminton \| 1 \| 2 \| 6 \| 9 row 28 : gymnastic - aerobic \| 1 \| 1 \| 1 \| 3 row 29 : gymnastic - rhythmic \| 1 \| 1 \| 0 \| 2 row 30 : basketball \| 1 \| 1 \| 0 \| 2 row 31 : wushu \| 1 \| 0 \| 3 \| 4 row 32 : beach volleyball \| 1 \| 0 \| 2 \| 3 row 33 : chess \| 1 \| 0 \| 0 \| 1 row 34 : bowling \| 1 \| 0 \| 0 \| 1 row 35 : soft tennis \| 0 \| 4 \| 5 \| 9 row 36 : pencak silat \| 0 \| 4 \| 3 \| 7 row 37 : traditional boat race \| 0 \| 2 \| 5 \| 7 row 38 : karate-do \| 0 \| 2 \| 4 \| 6 row 39 : roller sport \| 0 \| 2 \| 2 \| 4 row 40 : wall climbing \| 0 \| 2 \| 1 \| 3 row 41 : archery \| 0 \| 1 \| 4 \| 5 row 42 : table tennis \| 0 \| 1 \| 2 \| 3 row 43 : synchronized swimming \| 0 \| 1 \| 1 \| 2 row 44 : softball \| 0 \| 1 \| 0 \| 1 row 45 : baseball \| 0 \| 0 \| 1 \| 1 row 46 : diving \| 0 \| 0 \| 1 \| 1 row 47 : total \| 109 \| 100 \| 120 \| 329 ] Execute this SQL based on the above table: select silver > 245 where sport = 'total'	0
[ header: name \| position \| birth date/age at start of campaign \| games in campaign \| club row 1 : erich burgener \| gk \| february 15, 1951 (age 31) \| 3 \| servette row 2 : roger berbig \| gk \| november 6, 1954 (age 27) \| 3 \| grasshoppers row 3 : charly in-albon \| df \| june 23, 1957 (age 25) \| 4 \| grasshoppers row 4 : heinz ludi \| df \| october 8, 1958 (age 23 \| 4 \| fc zurich row 5 : beat rietmann \| df \| october 24, 1961 (age 20 \| 2 \| fc st. gallen row 6 : andy egli \| df \| may 8, 1958 (age 24) \| 6 \| grasshoppers row 7 : alain geiger \| df \| november 5, 1960 (age 21) \| 4 \| servette row 8 : marco schallibaum \| df \| april 6, 1962 (age 20) \| 1 \| grasshoppers row 9 : marcel koller \| df \| november 11, 1960 (age 21) \| 2 (both as sub) \| grasshoppers row 10 : rene botteron \| mf \| october 17, 1954 (age 27 \| 1 \| 1. fc nuremberg fc row 11 : heinz hermann \| mf \| march 28, 1958 (age 24) \| 6 \| grasshoppers row 12 : roger wehrli \| mf \| march 18, 1956 (age 26) \| 6 \| grasshoppers row 13 : lucien favre \| mf \| november 2, 1957 (age 24) \| 5 (1 as sub) \| toulouse servette row 14 : alfred scheiwiler \| mf \| february 4, 1956 (age 26) \| 1 \| lausanne row 15 : erni maissen \| mf \| january 1, 1958 (age 24) \| 1 (as sub) \| fc zurich fc basel row 16 : michel decastel \| mf \| october 22, 1955 (age 26 \| 3 \| servette row 17 : ruedi elsener \| mf \| february 18, 1953 (age 29) \| 4 \| None row 18 : umberto barberis \| mf \| june 5, 1952 (age 30) \| 3 (1 as sub) \| as monaco servette row 19 : andre ladner \| mf \| may 20, 1962 (age 20) \| 1 \| grasshoppers row 20 : jean-paul brigger \| st \| december 14, 1957 (age 24) \| 2 (1 as sub) \| servette row 21 : hans-peter zwicker \| st \| april 7, 1960 (age 22) \| 2 (both as sub) \| fc zurich lausanne row 22 : claudio sulser \| st \| october 8, 1955 (age 26 \| 5 \| grasshoppers row 23 : beat sutter \| st \| december 12, 1962 (age 19) \| 2 (1 as sub) \| fc basel row 24 : raimondo ponte \| st \| april 4, 1955 (age 27) \| 4 \| grasshoppers row 25 : manfred braschler \| st \| october 8, 1958 (age 23 \| 2 \| fc st. gallen ] Execute this SQL based on the above table: select count ( * ) where name = 'raimondo ponte'	1
[ header: \| ship \| shipyard \| laid down \| launched \| completed \| fate row 1 : 白露 \| shiratsuyu \| sasebo naval arsenal \| 14 november 1933 \| 5 april 1935 \| 20 august 1936 \| collision 15 june 1944 row 2 : 時雨 \| shigure \| uraga dock company \| 9 december 1933 \| 18 may 1935 \| 7 september 1936 \| sunk in action 24 january row 3 : 村雨 \| murasame \| fujinagata shipyards \| 1 february 1934 \| 20 june 1935 \| 7 january 1937 \| sunk in action, 6 march 1943 row 4 : 夕立 \| yudachi \| sasebo naval arsenal \| 16 october 1934 \| 21 june 1936 \| 7 january 1937 \| sunk in action 13 november 1942 row 5 : 五月雨 \| samidare \| uraga dock company \| 19 december 1934 \| 6 july 1935 \| 29 january 1937 \| sunk in action 26 august 1944 row 6 : 春雨 \| harusame \| uraga dock company \| 3 february 1935 \| 21 september 1935 \| 26 august 1937 \| sunk in action 8 june 1944 row 7 : 山風 \| yamakaze \| uraga dock company \| 25 may 1935 \| 21 february 1936 \| 30 june 1937 \| sunk in action 23 june 1942 row 8 : 江風 \| kawakaze \| fujinagata shipyards \| 25 april 1935 \| 1 november 1936 \| 30 april 1937 \| sunk in action 6 august 1943 row 9 : 海風 \| umikaze \| maizuru naval arsenal \| 4 may 1935 \| 27 november 1936 \| 31 may 1937 \| sunk in action 1 february 1944 row 10 : 涼風 \| suzukaze \| uraga dock company \| 9 july 1935 \| 11 march 1937 \| 31 august 1937 \| sunk in action 25 january ] Execute this SQL based on the above table: select count ( fate ) where launched = '21 february 1936'	1
[ header: # \| name \| position \| birthday \| size \| weight \| last team row 1 : 4 \| tom lipke \| guard/ forward \| 12.04.1986 \| 1,96 m \| 98 kg \| bremen roosters row 2 : 5 \| muamer taletovic \| guard \| 02.04.1976 \| 1,87 m \| 90 kg \| hertener lowen row 3 : 6 \| david watson \| guard \| 16.09.1988 \| 1,84 m \| 78 kg \| ssc karlsru row 4 : 7 \| brandon gary \| forward \| 26.01.1983 \| 2,03 m \| 100 kg \| iserlohn kangaroos row 5 : 8 \| theodis tarver \| center \| 09.07.1984 \| 2,06 m \| 110 kg \| bremen roosters row 6 : 9 \| stefan svitek \| forward \| 25.05.1977 \| 2,03 m \| 108 kg \| chemosvit svit row 7 : 10 \| michael baumer \| guard \| 08.08.1990 \| 1,80 m \| 68 kg \| bg karlsruhe row 8 : 11 \| clifford crawford \| guard \| 07.01.1981 \| 1,92 m \| 98 kg \| bremen roosters row 9 : 12 \| max roser \| guard/ forward \| 31.07.1988 \| 1,94 m \| 87 kg \| sg bad durkheim/spe row 10 : 13 \| edward seward \| center \| 20.10.1978 \| 2,06 m \| 110 kg \| aschersleben tiger row 11 : 14 \| julius parrisius \| guard \| 01.08.1985 \| 1,85 m \| 85 kg \| union shops rastatt row 12 : 15 \| leo niebuhr \| forward \| 04.08.1986 \| 2,06 m \| 88 kg \| sg braunschweig row 13 : 16 \| alexander rueck \| guard \| 24.03.1984 \| 1,89 m \| 85 kg \| union shops rastatt row 14 : 17 \| matthias hurst \| forward/ center \| 06.10.1989 \| 2,04 m \| 86 kg \| bg karlsruhe ] Execute this SQL based on the above table: select position group by position order by count ( * ) desc limit 1	guard
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined mac row 1 : delaware valley college \| doylestown, pennsyl \| aggies \| 1917 \| private/non-sectarian \| 2241 \| 1965 row 2 : desales university \| center valley, pennsylvania \| bulldogs \| 1965 \| private/catholic \| 3199 \| 1997 row 3 : eastern university \| st. davids, penn \| eagles \| 1952 \| private/baptist \| 4235 \| 2008 row 4 : fairleigh dickinson university-flor \| madison, new jersey \| devils \| 1942 \| private/non-sectarian \| 3288 \| 1977 row 5 : king's college \| wilkes-barre, penn \| monarchs \| 1946 \| private/catholic \| 2725 \| 1977 row 6 : manhattanville college \| purchase, new york \| valiants \| 1841 \| private/non-sectarian \| 2695 \| 2007 row 7 : misericordia university \| dallas, pennsyl \| cougars \| 1924 \| private/catholic \| 2830 \| 2008 row 8 : wilkes university \| wilkes-barre, penn \| colonels \| 1933 \| private/non-sectarian \| 5136 \| 1946 ] Execute this SQL based on the above table: select count ( institution ) where institution > 1239	8
[ header: party/electoral alliance \| seats \| change \| votes \| % row 1 : radical civic union (ucr) \| 98 \| 6 \| 618411 \| 42.70% row 2 : independent socialist \| 15 \| 9 \| 110792 \| 7.70% row 3 : conservative \| 12 \| -2 \| 153826 \| 10.60% row 4 : democratic (cordoba province) \| 7 \| 1 \| None \| None row 5 : unified ucr (santa \| 4 \| -7 \| 53221 \| 3.70% row 6 : liberal (tucuman province) \| 4 \| -2 \| 39543 \| 2.70% row 7 : democratic progressive \| 3 \| 3 \| 136121 \| 9.40% row 8 : antipersonalist ucr \| 3 \| -2 \| 47891 \| 3.30% row 9 : autonomist party of corrientes \| 2 \| -3 \| 17152 \| 1.20% row 10 : lencinist ucr ( \| 1 \| None \| 19375 \| 1.30% row 11 : socialist \| 1 \| -3 \| 123734 \| 8.50% row 12 : others \| 4 \| None \| 127601 \| 8.60% row 13 : invalid votes \| 4 \| None \| 39868 \| 2.70% row 14 : total \| 158 \| None \| 1487535 \| 100.00% ] Execute this SQL based on the above table: select party/electoral alliance order by seats desc limit 1	total
[ header: week \| date \| opponent \| home/away \| result \| bye row 1 : 1 \| february 8 \| new orleans voodoo \| home \| l 42-34 \| 0 row 2 : 2 \| february 15 \| dallas desperados \| away \| l 51-47 \| 0 row 3 : 3 \| february 21 \| columbus destroyers \| home \| w 56-34 \| 0 row 4 : 4 \| february 29 \| tampa bay storm \| away \| l 40-37 \| 0 row 5 : 5 \| march 7 \| chicago rush \| home \| w 53-47 \| 0 row 6 : 6 \| march 13 \| columbus destroyers \| away \| l 43-41 \| 0 row 7 : 7 \| march 21 \| colorado crush \| home \| l 40-33 \| 0 row 8 : 8 \| march 28 \| austin wranglers \| away \| w 65-60 \| 0 row 9 : 9 \| april 4 \| dallas desperados \| home \| w 47-31 \| 0 row 10 : 10 \| None \| None \| week \| None \| 1 row 11 : 11 \| april 17 \| carolina cobras \| away \| l 63-59 \| 0 row 12 : 12 \| april 24 \| new york dragons \| home \| w 60-58 \| 0 row 13 : 13 \| may 1 \| colorado crush \| away \| l 58-40 \| 0 row 14 : 14 \| may 8 \| las vegas gladiators \| home \| l 63-35 \| 0 row 15 : 15 \| may 15 \| carolina cobras \| home \| l 46-43 \| 0 row 16 : 16 \| may 22 \| san jose sabercat \| away \| l 48-36 \| 0 row 17 : 17 \| may 30 \| new york dragons \| away \| l 69-54 \| 0 ] Execute this SQL based on the above table: select home/away order by home/away asc limit 1	away
[ header: round \| pick \| player \| position \| school/club team row 1 : 1 \| 8 \| eric fraser \| s \| central michigan row 2 : 2 \| 16 \| tristan black \| lb \| wayne state row 3 : 3 \| 24 \| john hashem \| ot \| regina row 4 : 4 \| 28 \| spencer armstrong \| wr \| air force row 5 : 4 \| 30 \| steve myddelton \| de \| st. francis xa row 6 : 4 \| 32 \| scott mchenry \| sb \| saskatchewan row 7 : 5 \| 40 \| osie ukwuoma \| dl \| queen's row 8 : 6 \| 48 \| john kanaroski \| wr \| regina ] Execute this SQL based on the above table: select pick where pick > 18	24.0, 28.0, 30.0, 32.0, 40.0, 48.0
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select hometown where hometown in ( 'panama city' , 'panama city' ) order by height desc limit 1	panama city
[ header: institution \| location \| established \| gained university status \| vice-chancellor \| total number of students \| research funding (£,000) row 1 : birkbeck, university of lon \| london \| 1823 \| 1920 \| professor david latchman \| 19020 \| 9985 row 2 : university of east anglia \| norwich \| 1963 \| 1963 \| professor edward acton \| 19585 \| 16482 row 3 : university of essex \| colchester \| 1964 \| 1964 \| professor anthony forster \| 11690 \| 9967 row 4 : goldsmiths, university of london \| london \| 1891 \| 1904 \| dr pat loughrey \| 7615 \| 8539 row 5 : institute of education, university of london \| london \| 1902 \| 1932 \| professor chris husbands \| 7215 \| 7734 row 6 : university of lancaster \| lancaster \| 1964 \| 1964 \| professor mark smith \| 12695 \| 18640 row 7 : university of leicester \| leicester \| 1921 \| 1957 \| professor robert burgess \| 16160 \| 22225 row 8 : loughborough university \| loughborough \| 1909 \| 1966 \| professor robert allison \| 17825 \| 22398 row 9 : royal holloway, university of lon \| egham \| 1849 \| 1900 \| professor paul layzell (principal \| 7620 \| 13699 row 10 : soas, university of london \| london \| 1916 \| 1916 \| professor paul webley \| 4525 \| 7238 row 11 : university of sussex \| brighton \| 1961 \| 1961 \| professor michael farthing \| 12415 \| 16196 ] Execute this SQL based on the above table: select count ( * ) where location = 'brighton'	1
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select ( select id where score = 'w 9-8' ) < ( select id where score = 'l 11-13' )	0
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 30 \| 8:00 pm \| vs. alabama \| #9 \| georgia dome • atlanta, \| abc \| l 10-34 \| 70097 row 2 : september 6 \| 3:30 pm \| the citadel \| #22 \| memorial stadium • clemson, s \| None \| w 45-17 \| 76794 row 3 : september 13 \| 12:00 pm \| nc state \| #23 \| memorial stadium • clemson, s \| raycom \| w 27-9 \| 77071 row 4 : september 20 \| 1:00 pm \| sc state \| #21 \| memorial stadium • clemson, s \| None \| w 54-0 \| 78607 row 5 : september 27 \| 12:00 pm \| maryland \| #19 \| memorial stadium • clemson, s \| raycom \| l 17-20 \| 81500 row 6 : october 9 \| 7:45 pm \| at wake forest \| None \| bb&t field • winston- \| espn \| l 7-12 \| 33988 row 7 : october 18 \| 12:00 pm \| georgia tech \| None \| memorial stadium • clemson, s \| espn \| l 17-21 \| 81500 row 8 : november 1 \| 3:30 pm \| at boston college \| None \| alumni stadium • chestnut hill, ma (o \| espnu \| w 27-21 \| 41863 row 9 : november 8 \| 3:30 pm \| at #24 florida state \| None \| doak campbell stadium • tallahasse \| abc \| l 27-41 \| 77013 row 10 : november 15 \| 12:00 pm \| duke \| None \| memorial stadium • clemson, s \| raycom \| w 31-7 \| 76217 row 11 : november 22 \| 12:00 pm \| at virginia \| None \| scott stadium • charlottesville, \| raycom \| w 13-3 \| 51979 row 12 : november 29 \| 12:00 pm \| south carolina \| None \| memorial stadium • clemson, s \| espn2 \| w 31-14 \| 82456 row 13 : january 1, 2009 \| 1:00 pm \| vs. nebraska \| None \| jacksonville municipal stadium • jackson \| cbs \| l 21-26 \| 67282 ] Execute this SQL based on the above table: select result where id = ( select id where date = 'october 18' ) - 1	l 7-12
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select count ( team ) where laps down = -1	16
[ header: date \| race \| competition \| rider \| country \| location row 1 : february 9 \| tour of qatar, stage 3 \| uci asia tour \| tom boonen (bel) \| qatar \| mesaieed row 2 : february 11 \| tour of qatar, stage 5 \| uci asia tour \| tom boonen (bel) \| qatar \| madinat al shamal row 3 : february 18 \| tour of oman, stage 5 \| uci asia tour \| tom boonen (bel) \| oman \| sultan qaboos row 4 : march 11 \| tirreno-adriatico \| uci world ranking \| tom boonen (bel) \| italy \| montecatini terme row 5 : march 26 \| volta a catalunya \| uci protour \| davide malacarne (it \| spain \| cabaces row 6 : may 10 \| giro d'italia, stage \| uci world ranking \| wouter weylandt (bel) \| netherlands \| middelburg row 7 : may 13 \| giro d'italia, stage \| uci world ranking \| jerome pineau (fra) \| italy \| novi ligure row 8 : may 30 \| giro d'italia, premi \| uci world ranking \| jerome pineau (fra) \| italy \| None row 9 : may 30 \| tour of belgium, overall \| uci europe tour \| stijn devolder (bel) \| belgium \| None row 10 : june 23 \| halle-ingooigem \| uci europe tour \| jurgen van de walle (bel) \| belgium \| ingooigem row 11 : july 5 \| tour de france, stage 2 \| uci world ranking \| sylvain chavane \| belgium \| spa row 12 : july 10 \| tour de france, stage 7 \| uci world ranking \| sylvain chavane \| france \| les rousses row 13 : september 12 \| vuelta a espana, \| uci world ranking \| carlos barredo (esp) \| spain \| lagos de covadonga row 14 : october 3 \| circuit franco-belge, stage 4 \| uci europe tour \| wouter weylandt (bel) \| belgium \| tournai row 15 : october 10 \| g.p. beghelli \| uci europe tour \| dario cataldo (ita \| italy \| monteveglio ] Execute this SQL based on the above table: select count ( race ) where rider = 'tom boonen (bel)'	4
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select party where id = ( select id where party = 'jackson republican' ) - 1	crawford republican
[ header: # \| title \| type \| opening date \| closing date \| performances \| comment row 1 : 5 \| les miserables \| m \| march 12, 1987 \| may 18, 2003 \| 6680 \| 8 tony awards in 1987, including best row 2 : 10 \| rent \| m \| april 29, 1996 \| september 7, 2008 \| 5123 \| 4 tony awards in 1996, including best row 3 : 11 \| wicked \| m \| october 30, 2003 \| None \| 4333 \| currently running at the gershwin theatre row 4 : 12 \| miss saigon \| m \| april 11, 1991 \| january 28, 2001 \| 4092 \| 3 tony awards in 1991 4 drama desk row 5 : 23 \| avenue q \| m \| july 31, 2003 \| september 13, 2009 \| 2534 \| 3 tony awards in 2004, including best musical row 6 : 24 \| the producers \| m \| april 19, 2001 \| april 22, 2007 \| 2502 \| 12 tony awards in 2001, including best row 7 : 32 \| pippin \| m \| october 23, 1972 \| june 12, 1977 \| 1944 \| 5 tony awards in 1973 5 drama desk row 8 : 33 \| south pacific \| m \| april 7, 1949 \| january 16, 1954 \| 1925 \| 10 tony awards in 1950, including best row 9 : 45 \| ain't misbehavin' \| r \| may 9, 1978 \| february 21, 1982 \| 1604 \| 3 tony awards in 1978, including best row 10 : 56 \| grease \| m \| may 11, 1994 \| january 25, 1998 \| 1505 \| revival original production in 1972 (3,388 performances row 11 : 58 \| arsenic and old lace \| p \| january 10, 1941 \| june 17, 1944 \| 1444 \| revival in 1986 (221 performances) row 12 : 61 \| how to succeed in business without really trying \| m \| october 14, 1961 \| march 6, 1965 \| 1417 \| 7 tony awards in 1962, including best row 13 : 64 \| funny girl \| m \| march 26, 1964 \| july 1, 1967 \| 1348 \| grammy award for best score from an original row 14 : 67 \| billy elliot the musical \| m \| november 13, 2008 \| january 8, 2012 \| 1312 \| 10 tony awards in 2009, including best row 15 : 74 \| the king and i \| m \| march 29, 1951 \| march 20, 1954 \| 1246 \| 5 tony awards in 1952, including best row 16 : 92 \| butterflies are free \| p \| october 21, 1969 \| july 2, 1972 \| 1128 \| a tony award in 1970 ] Execute this SQL based on the above table: select sum ( performances ) where title in ( 'None' , 'the producers' )	2502.0
[ header: \| date \| opponents \| h / a \| result \| score \| attendance row 1 : 1 \| 29 august \| doncaster knights \| h \| w \| 30 - 14 \| 2232 row 2 : 2 \| 5 september \| london welsh \| h \| w \| 22 - 3 \| 2047 row 3 : 3 \| 11 september \| moseley \| a \| d \| 26 - 26 \| 751 row 4 : 4 \| 19 september \| birmingham & solihull \| h \| w \| 32 - 15 \| 1672 row 5 : 5 \| 26 september \| bristol \| a \| l \| 7 - 21 \| 4379 row 6 : 6 \| 3 october \| plymouth albion \| h \| w \| 46 - 13 \| 2439 row 7 : 7 \| 9 october \| bedford \| a \| l \| 25 - 32 \| 3243 row 8 : 8 \| 17 october \| rotherham titans \| h \| w \| 40 - 15 \| 1982 row 9 : 9 \| 22 october \| worcester warriors \| a \| w \| 23 - 21 \| 6928 row 10 : 10 \| 31 october \| esher \| h \| w \| 54 - 6 \| 1767 row 11 : 11 \| 7 november \| nottingham \| a \| w \| 36 - 10 \| 1637 row 12 : 12 \| 14 november \| london welsh \| a \| l \| 16 - 23 \| 1250 row 13 : 13 \| 21 november \| moseley \| h \| w \| 50 - 7 \| 1854 row 14 : None \| 28 november \| birmingham & solihull \| a \| None \| p - p \| None row 15 : 14 \| 5 december \| bristol \| h \| w \| 16 - 6 \| 2253 row 16 : 15 \| 15 december \| birmingham & solihull \| a \| w \| 61 - 28 \| 407 row 17 : None \| 26 december \| plymouth albion \| a \| None \| p - p \| None row 18 : 16 \| 2 january \| bedford blues \| h \| w \| 23 - 13 \| 3051 row 19 : 17 \| 8 january \| rotherham titans \| a \| l \| 18 - 19 \| 1067 row 20 : 18 \| 12 january \| plymouth albion \| a \| w \| 10 - 6 \| 2512 row 21 : 19 \| 30 january \| worcester warriors \| h \| l \| 30 - 33 \| 1976 row 22 : 20 \| 5 february \| esher \| a \| l \| 12 - 13 \| 1338 row 23 : 21 \| 13 february \| nottingham \| h \| w \| 40 - 0 \| 2486 row 24 : 22 \| 19 february \| doncaster knights \| a \| w \| 16 - 13 \| 1091 ] Execute this SQL based on the above table: select result where id = 5	l
[ header: # \| player \| σ points \| qual. \| final row 1 : 1 \| karel hromadka \| 9.5 \| 3 \| 6.5 row 2 : 2 \| jan schulz (czechos \| 9 \| 4 \| 5 row 3 : 3 \| erwin voellmy (switz \| 8.5 \| 3.5 \| 5 row 4 : 4 \| karl behting (latvia \| 8 \| 2 \| 6 row 5 : 4 \| georges renaud (france \| 8 \| 3 \| 5 row 6 : 4 \| roberto grau (argentina \| 8 \| 3.5 \| 4.5 row 7 : 4 \| george koltanowski (bel \| 8 \| 3.5 \| 4.5 row 8 : 8 \| giovanni cenni (ital \| 7.5 \| 1.5 \| 6 row 9 : 8 \| endre steiner (hungary) \| 7.5 \| 2 \| 5.5 row 10 : 8 \| otto zimmermann (switz \| 7.5 \| 2.5 \| 5 row 11 : 8 \| dawid daniuszewski (poland \| 7.5 \| 2.5 \| 5 row 12 : 8 \| karoly sterk (hungary \| 7.5 \| 3 \| 4.5 row 13 : 8 \| damian reca (argentina) \| 7.5 \| 3.5 \| 4 row 14 : 14-45 \| etc \| None \| None \| None ] Execute this SQL based on the above table: select ( select # where player = 'karoly sterk (hungary)' ) - ( select # where player = 'roberto grau (argentina)' )	4
[ header: # \| name \| office \| political party \| occupation row 1 : 1 \| ole olsen strø \| 1886-1901 \| None \| church bell ringer row 2 : 2 \| peder olai kleppe \| 1902-1919 \| None \| fisherman row 3 : 3 \| olai naustheller \| 1920-1925 \| None \| farmer row 4 : 4 \| mikkel nilsen birkel \| 1926-1935 \| None \| farmer row 5 : 5 \| magnus larssen \| 1935-1937 \| None \| school teacher row 6 : 6 \| salomon o. fagerbak \| 1938-1945 \| None \| fisherman row 7 : 7 \| salomon v. kalvenes \| 1946-1959 \| None \| fisherman row 8 : 8 \| rikard s. storebø \| 1960-1969 \| liberal party \| social security manager row 9 : 9 \| peder kalve \| 1970-1975 \| conservative party \| maritime pilot row 10 : 10 \| magnus stangeland \| 1976-1981 \| centre party \| school principal row 11 : 11 \| knut k. kalvenes \| 1982-1985 \| conservative party \| retailer row 12 : 12 \| hallvard møgster \| 1986-1989 \| christian democratic party \| captain row 13 : 13 \| inge bjarne storeb \| 1990-2001 \| conservative party \| bank manager row 14 : 14 \| olav p. arland \| 2001-2003 \| christian democratic party \| shipmaster row 15 : 15 \| helge andre njasta \| 2003- \| progress party \| student ] Execute this SQL based on the above table: select count ( occupation ) where name = 'mikkel nilsen birkeland'	1
[ header: position \| driver \| no. \| car \| entrant \| rd 1 \| rd 2 \| rd 3 \| rd 4 \| rd 5 \| rd 6 \| rd 7 \| rd 8 \| total row 1 : 1 \| greg crick \| 3 \| dodge viper gts ac \| crickcars.com \| 98 \| 108 \| 91 \| 72 \| 98 \| 96 \| 60 \| 90 \| 713 row 2 : 5 \| sven burchartz \| 90 \| porsche 996 gt3 \| cargraphic ag \| 32 \| 18 \| None \| 63 \| 57 \| 69 \| 114 \| 85.5 \| 438.5 row 3 : 6 \| david wall \| 38 \| porsche 996 gt3 r \| rds \| 32 \| 37.5 \| 63 \| None \| 80 \| 33 \| None \| 117 \| 362.5 row 4 : 7 \| john teulan \| 88 \| ferrari 360 challenge ferrari f430 challenge \| industry central - stahlwille \| 47 \| 48 \| 61 \| 77 \| None \| 48 \| 48 \| 19.5 \| 348.5 row 5 : 8 \| max twigg \| 18 & 17 \| porsche 996 gt3 \| twigg waste management luxton \| 45 \| 33 \| 51 \| 14 \| 37 \| 57 \| None \| 66 \| 303 row 6 : 9 \| d'arcy russell \| 7 \| dodge viper gts ac \| dupont \| 34 \| 31.5 \| None \| 23 \| None \| 117 \| None \| 60 \| 265.5 row 7 : 14 \| paul tressider \| 23 \| porsche 996 gt3 cup car \| wynn tressider management \| 29 \| 22.5 \| 49 \| None \| None \| 45 \| None \| 43.5 \| 189 row 8 : 16 \| damien flack \| 55 \| porsche 996 gt3 cup car \| roock \| None \| None \| 69 \| 12 \| None \| 54 \| None \| 25.5 \| 160.5 row 9 : 18 \| bill pye \| 44 \| porsche 996 gt3 cup car \| autohaus hamilton property solutions group \| None \| 58.5 \| None \| None \| None \| 39 \| None \| 43.5 \| 141 row 10 : 19 \| anthony skinner \| 46 \| porsche 996 gt3 \| travelplan ski holiday \| 52 \| 18 \| None \| None \| None \| None \| 69 \| None \| 139 row 11 : 20 \| andrew luxton \| 17 & 18 \| porsche 996 gt3 cup car \| luxton plant twigg waste \| None \| None \| None \| None \| None \| 57 \| None \| 66 \| 123 row 12 : 22 \| ian palmer \| 20 \| honda nsx \| instant fountains paluky ho \| 25 \| None \| 33 \| 53 \| None \| None \| None \| None \| 111 row 13 : 24 \| kevin miller \| 2 \| ferrari f430 \| property solutions group \| None \| None \| None \| None \| None \| None \| 63 \| 36 \| 99 row 14 : 26 \| peter hackett \| 5 \| lamborghini diablo gt \| team lamborghini australia \| None \| 91.5 \| None \| None \| None \| None \| None \| None \| 91.5 row 15 : 28 \| graeme cook \| 91 \| porsche 996 gt3 cup car \| container solutions \| 27 \| None \| None \| None \| 58 \| None \| None \| None \| 85 row 16 : 32 \| stuart kostera \| 70 \| porsche 996 gt3 cup car \| phr scuderia \| None \| None \| None \| 73 \| None \| None \| None \| None \| 73 row 17 : 34 \| justin levis \| 78 \| lotus elise motorsport 200 \| cue autohaus hamilton \| None \| 24 \| None \| None \| None \| 39 \| None \| None \| 63 ] Execute this SQL based on the above table: select ( select total where entrant = 'container solutions' ) - ( select total where entrant = 'container solutions' )	0.0
[ header: year \| date \| winner \| make \| pole \| make \| results row 1 : 1970 \| october 4 \| dave sorg \| mercury \| ron north \| oldsmobile \| report row 2 : 1971 \| october 3 \| denny miles \| chevrolet \| les snow \| plymouth \| report row 3 : 1972 \| october 1 \| dave sorg \| chevrolet \| larry moore \| chevrolet \| report row 4 : 1975 \| september 28 \| bob senneker \| chevrolet \| larry moore \| chevrolet \| report row 5 : 1976 \| october 4 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 6 : 1977 \| october 2 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 7 : 1980 \| october 5 \| terry senneker \| chevrolet \| mark martin \| chevrolet \| report row 8 : 1983 \| october 2 \| mike eddy \| pontiac \| dick trickle \| pontiac \| report row 9 : 1985 \| september 29 \| mark martin \| ford \| mark martin \| ford \| report row 10 : 1986 \| october 5 \| mark martin \| ford \| mark martin \| pontiac \| report row 11 : 1989 \| october 1 \| butch miller \| chevrolet \| kenny wallace \| pontiac \| report row 12 : 1990 \| september 30 \| bob senneker \| chevrolet \| dave jackson \| chevrolet \| report row 13 : 1992 \| october 4 \| tim steele \| chevrolet \| mike garvey \| ford \| report row 14 : 1993 \| october 3 \| mike cope \| oldsmobile \| hal goodson \| ford \| report row 15 : 1995 \| october 1 \| mike cope \| chevrolet \| ron barfield, jr \| ford \| report row 16 : 1999 \| september 26 \| brian ross \| chevrolet \| matt hagans \| ford \| report row 17 : 2000 \| october 1 \| gary st. amant \| chevrolet \| larry foyt \| pontiac \| report row 18 : 2001 \| september 23 \| joey clanton \| chevrolet \| david stremme \| ford \| report row 19 : 2002 \| october 6 \| gary st. amant \| chevrolet \| david stremme \| chevrolet \| report row 20 : 2003 \| october 5 \| bobby parsley \| chevrolet \| dave jackson \| chevrolet \| report row 21 : 2004 \| None \| None \| None \| None \| None \| None row 22 : 2005 \| None \| None \| None \| None \| None \| None row 23 : 2006 \| october 15 \| scott hantz \| chevrolet \| danny jackson \| None \| report row 24 : 2008 \| october 12 \| david stremme \| dodge \| chris gabehart \| None \| report row 25 : 2009 \| october 18 \| kyle busch \| toyota \| chris gabehart \| None \| report row 26 : 2010 \| october 17 \| chase elliott \| ford \| johnny vandoorn \| None \| report row 27 : 2012 \| october 14 \| ross kenseth \| ford \| rick turner \| ford \| report row 28 : 2013 \| october 13 \| erik jones \| toyota \| chase elliott \| chevrolet \| report ] Execute this SQL based on the above table: select count ( * ) where make = 'pontiac'	4
[ header: season \| north \| south \| east \| west row 1 : 2000-01 \| ehc regensburg \| sb rosenheim \| deggendorfer sc ii \| ev landsberg row 2 : 2001-02 \| bts bayreuth \| tus geretsried i \| deggendorfer sc ii \| tsv kottern row 3 : 2002-03 \| ec bayreuth \| sc riessersee i \| tsv erding jets \| tsv peißenberg row 4 : 2003-04 \| ehc ingolstadt ii \| esc holzkirchen \| ehf passau \| tsv kottern row 5 : 2004-05 \| ver selb \| eac bad reichenhall \| se freising \| erc lechbruck row 6 : 2005-06 \| ec bad kissingen \| ehc munchen ii \| esv waldkirchen \| ev bad worishofen row 7 : 2006-07 \| ehc bayreuth \| esc geretsried \| esv gebensbach \| vfl denklingen row 8 : 2007-08 \| ec amberg \| sc gaißach \| ev bruckberg \| esc kempten row 9 : 2008-09 \| erc ingolstadt \| tsv schliersee \| esv waldkirchen \| 1. ec senden ] Execute this SQL based on the above table: select east where east in ( 'deggendorfer sc ii' , 'esv gebensbach' ) order by west - east desc limit 1	deggendorfer sc ii
[ header: office \| name \| dates \| notes row 1 : economic secretary to the treasury \| john edwards \| 19 october 1950 \| None row 2 : lords of the treasur \| joseph henderson \| 4 august 1945 - 1 january \| None row 3 : parliamentary secretary to the ministry of agriculture and fish \| the earl of huntingdon \| 4 august 1945 - 22 november 1950 \| None row 4 : parliamentary secretary to the ministry of agriculture and fish \| george brown \| 7 october 1947 - 26 \| None row 5 : under-secretary of state for air \| john strachey \| 4 august 1945 \| None row 6 : minister of aircraft production \| john wilmot \| 4 august 1945 \| office abolished 1 april 1946 row 7 : minister of civil aviation \| the lord ogmore \| 1 june 1951 \| None row 8 : parliamentary secretary to the minister of food \| edith summerskill \| 4 august 1945 \| None row 9 : parliamentary secretary to the minister of food \| stanley evans \| 2 march 1950 \| None row 10 : parliamentary secretary to the minister of fuel and power \| harold neal \| 26 april 1951 \| None row 11 : parliamentary secretary to the ministry of health \| charles key \| 4 august 1945 \| None row 12 : secretary of state for india and burma \| the lord pethick-lawr \| 3 august 1945 \| None row 13 : minister of information \| the earl of listowel \| 26 february 1946 \| office abolished 31 march 1946 row 14 : minister of labour and national service \| alfred robens \| 24 april 1951 \| None row 15 : chancellor of the duchy of lan \| the viscount alexander of hillsborough \| 28 february 1950 \| None row 16 : minister of national insurance \| edith summerskill \| 28 february 1950 \| None row 17 : minister for pensions \| wilfred paling \| 3 august 1945 \| None row 18 : minister for pensions \| george isaacs \| 17 january 1951 \| None row 19 : postmaster general \| the earl of listowel \| 4 august 1945 \| None row 20 : assistant postmaster general \| wilfrid burke \| 10 august 1945 \| None row 21 : under-secretary of state for scot \| george buchanan \| 4 august 1945 - 7 octo \| None row 22 : under-secretary of state for scot \| margaret herbison \| 2 march 1950 - 26 octo \| None row 23 : president of the board of trade \| harold wilson \| 29 september 1947 \| None row 24 : parliamentary secretary to the board of trade \| john edwards \| 1 february 1949 \| None row 25 : secretary for overseas trade \| hilary marquand \| 4 august 1945 \| None row 26 : secretary of state for war \| jack lawson \| 3 august 1945 \| None row 27 : under-secretary of state for war \| the lord pakenham \| 4 october 1946 - 17 \| office combined with financial secretary row 28 : minister of works \| george brown \| 26 april 1951 \| None row 29 : vice-chamberlain of the household \| ernest popplewell \| 16 october 1947 \| None row 30 : captain of the yeomen of the \| the lord shepherd \| 6 july 1949 \| None row 31 : lords in waiting \| the lord pakenham \| 14 october 1945 - 4 \| None ] Execute this SQL based on the above table: select count ( office ) where id < ( select id where office = 'captain of the yeomen of the guard' )	29
[ header: # \| date \| opponent \| score \| win \| loss \| save \| crowd \| record row 1 : 1 \| apr 3 \| @min \| w 8-1 \| morris \| williams \| None \| 34381 \| 1-0 row 2 : 2 \| apr 5 \| @min \| w 7-3 \| petry \| viola \| None \| 8373 \| 2-0 row 3 : 3 \| apr 6 \| @chw \| w 3-2 \| wilcox \| dotson \| hernandez \| 42692 \| 3-0 row 4 : 4 \| apr 7 \| @chw \| w 4-0 \| morris \| bannister \| None \| 24616 \| 4-0 row 5 : 5 \| apr 8 \| @chw \| w 7-3 \| lopez \| seaver \| None \| 20478 \| 5-0 row 6 : 6 \| apr 10 \| tex \| w 5-1 \| petry \| stewart \| None \| 51238 \| 6-0 row 7 : 7 \| apr 12 \| tex \| w 9-4 \| morris \| tanana \| None \| 19154 \| 7-0 row 8 : 8 \| apr 13 \| @bos \| w 13-9 \| bair \| hurst \| None \| 35179 \| 8-0 row 9 : 9 \| apr 18 \| kcr \| w 4-3 (10) \| hernandez \| beckwith \| None \| 12310 \| 9-0 row 10 : 10 \| apr 19 \| kcr \| l 2-5 \| saberhagen \| petry \| quisenberry \| 12100 \| 9-1 row 11 : 11 \| apr 20 \| chw \| w 3-2 \| lopez \| reed \| None \| 33554 \| 10-1 row 12 : 12 \| apr 21 \| chw \| w 4-1 \| rozema \| hoyt \| bair \| 34395 \| 11-1 row 13 : 13 \| apr 22 \| chw \| w 9-1 \| berenguer \| brennan \| None \| 10603 \| 12-1 row 14 : 14 \| apr 24 \| min \| w 6-5 \| morris \| davis \| None \| None \| 13-1 row 15 : 15 \| apr 24 \| min \| w 4-3 \| abbott \| viola \| lopez \| 20315 \| 14-1 row 16 : 16 \| apr 25 \| @tex \| w 9-4 \| wilcox \| stewart \| hernandez \| 25883 \| 15-1 row 17 : 17 \| apr 26 \| @tex \| w 7-5 \| bair \| tanana \| lopez \| 13559 \| 16-1 row 18 : 18 \| apr 27 \| cle \| l 4-8 (19) \| aponte \| abbott \| None \| 34112 \| 16-2 row 19 : 19 \| apr 28 \| cle \| w 6-2 \| morris \| behenna \| None \| 28253 \| 17-2 row 20 : 20 \| apr 29 \| cle \| w 6-1 \| petry \| spillner \| None \| 24853 \| 18-2 ] Execute this SQL based on the above table: select save where crowd > 13559	hernandez, bair, lopez, hernandez
[ header: year \| date \| venue \| city \| country \| notes row 1 : 2012 \| oct 27 - 31 \| nara prefectural new public hall \| nara \| japan \| None row 2 : 2011 \| noc 28 - dec 1st \| hyatt regency scott \| scottsdale, arizona \| usa \| None row 3 : 2010 \| oct 25 - 29 \| palazzo degli affari \| firenze \| italy \| None row 4 : 2009 \| oct 19 - 24 \| beijing hotel \| beijing \| china \| None row 5 : 2008 \| oct 27 - nov 1 \| pan pacific hotel \| vancouver, bc \| canada \| None row 6 : 2007 \| sep 24-29 \| university of augsburg \| augsburg \| germany \| None row 7 : 2006 \| oct 23-27 \| fess parker's double \| santa barbara \| usa \| isbn 1-59593-447-2 row 8 : 2005 \| nov 6-11 \| hilton \| singapore \| singapore \| isbn 1-59593-044-2 row 9 : 2004 \| oct 10-16 \| None \| new york \| usa \| isbn 1-58113-893-8 row 10 : 2003 \| nov 2-8 \| None \| berkeley, californi \| usa \| isbn 1-58113-722-2 row 11 : 2002 \| dec 1-6 \| None \| juan-les-pins on the \| france \| isbn 1-58113-620-x row 12 : 2001 \| sep 30 - oct 5 \| None \| ottawa \| canada \| isbn 1-58113-394-4 row 13 : 2000 \| oct 30 - nov 3 \| marina del rey \| los angeles, ca \| usa \| proceedings: isbn 1-58113-198 row 14 : 1999 \| oct 30 - nov 5 \| None \| orlando, florida \| usa \| proc. part 1: isbn 1- row 15 : 1998 \| sep 12-16 \| university of bristol \| bristol \| united kingdom \| isbn 0-201-30990-4 row 16 : 1997 \| nov 9-13 \| None \| seattle, wa \| usa \| isbn 0-89791-99 row 17 : 1996 \| nov 18 - 22 \| hynes convention center \| boston, ma \| usa \| isbn 0-89791-871 row 18 : 1995 \| nov 5-9 \| None \| san francisco, ca \| usa \| isbn 0-89791-75 row 19 : 1994 \| oct 15-20 \| None \| san francisco, ca \| usa \| isbn 0-89791-686-7 row 20 : 1993 \| aug 1-6 \| None \| anaheim, ca \| usa \| isbn 0-89791-596 ] Execute this SQL based on the above table: select venue where id = 1	nara prefectural new public hall
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select count ( * ) > 0 where nation not null	1
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : pennsylvania 2 \| james m. beck \| republican \| 1927 \| resigned republican hold \| william h. wilson row 2 : pennsylvania 5 \| james j. connolly \| republican \| 1920 \| lost re-election democratic gain \| frank joseph gerard row 3 : pennsylvania 6 \| edward l. sto \| republican \| 1931 \| retired to run for governor democratic gain \| michael j. stack (d row 4 : pennsylvania 7 \| george p. darrow \| republican \| 1914 \| re-elected \| george p. darrow ( row 5 : pennsylvania 10 \| j. roland kinzer \| republican \| 1930 \| re-elected \| j. roland kinzer ( row 6 : pennsylvania 14 \| william emanuel rich \| democratic \| 1932 \| re-elected \| william emanuel rich row 7 : pennsylvania 17 \| j. william ditter \| republican \| 1932 \| re-elected \| j. william ditter ( row 8 : pennsylvania 20 \| thomas cunningham cochran \| republican \| 1926 \| retired democratic gain \| denis j. drisco row 9 : pennsylvania 22 \| harry l. haines \| democratic \| 1930 \| re-elected \| harry l. haines (d row 10 : pennsylvania 23 \| j. banks kurtz \| republican \| 1922 \| lost re-election democratic gain \| don gingery (d) 52.4% ] Execute this SQL based on the above table: select count ( result )	10
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| nicky english \| tipperary \| 2-12 \| 18 \| antrim row 2 : 2 \| mark corrigan \| offaly \| 3-7 \| 16 \| kilkenny row 3 : 3 \| joe hennessy \| kerry \| 3-5 \| 14 \| limerick row 4 : 3 \| finbarr delaney \| cork \| 1-11 \| 14 \| waterford row 5 : 5 \| nicky english \| tipperary \| 0-13 \| 13 \| waterford row 6 : 5 \| adrian ronan \| kilkenny \| 1-10 \| 13 \| westmeath row 7 : 7 \| nicky english \| tipperary \| 2-5 \| 11 \| limerick row 8 : 7 \| danny mcnaughton \| antrim \| 2-5 \| 11 \| down row 9 : 9 \| m. j. ryan \| dublin \| 1-7 \| 10 \| laois row 10 : 10 \| gary kirby \| limerick \| 1-6 \| 9 \| kerry row 11 : 10 \| pat murphy \| waterford \| 3-0 \| 9 \| cork ] Execute this SQL based on the above table: select count ( player ) where tally = 11	0
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 3, 2005 \| 8:00 pm \| at #25 pittsburgh \| None \| heinz field • pittsburgh \| abc \| w 42-21 \| 66451 row 2 : september 10, 2005 \| 12:00 pm \| at #3 michigan \| #23 \| michigan stadium • ann arbor, mi \| abc \| w 17-10 \| 111386 row 3 : september 17, 2005 \| 3:30 pm \| michigan state \| #12 \| notre dame stadium • notre dame, in \| nbc \| l 44-41 ot \| 80795 row 4 : september 24, 2005 \| 3:30 pm \| at washington \| #18 \| husky stadium • seattle wa \| abc \| w 36-17 \| 71473 row 5 : october 1, 2005 \| 7:45 pm \| at #20 purdue \| #14 \| ross-ade stadium • west la \| espn \| w 49-28 \| 65491 row 6 : october 15, 2005 \| 3:30 pm \| #1 usc \| #9 \| notre dame stadium • notre dame, in \| nbc \| l 34-31 \| 80795 row 7 : october 22, 2005 \| 2:30 pm \| byu \| #12 \| notre dame stadium • notre dame, in \| nbc \| w 49-23 \| 80795 row 8 : november 5, 2005 \| 2:30 pm \| tennessee \| #9 \| notre dame stadium • notre dame, in \| nbc \| w 41-21 \| 80795 row 9 : november 12, 2005 \| 1:00 pm \| navy \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 42-21 \| 80795 row 10 : november 19, 2005 \| 2:30 pm \| syracuse \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 34-10 \| 80795 row 11 : november 26, 2005 \| 8:00 pm \| at stanford \| #6 \| stanford stadium • palo alto, \| abc \| w 38-31 \| 56057 row 12 : january 2, 2006 \| 4:30 pm \| vs. #4 ohio \| #6 \| sun devil stadium • tempe, a \| abc \| l 34-20 \| 76196 ] Execute this SQL based on the above table: select opponent# order by time - attendance desc limit 1	at stanford
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select stadium where stadium in ( 'wuhan sports center, wuhan' , 'shenzhen stadium, shenzhen' ) order by season desc limit 1	wuhan sports center, wuhan
[ header: plant name \| location \| country \| startup date \| capacity (mmtpa) \| corporation row 1 : qatargas ii \| ras laffan \| qatar \| 2009 \| 7.8 \| None row 2 : arzew gl4z \| None \| algeria \| 1964 \| 0.9 \| None row 3 : arzew gl1z \| None \| algeria \| 1978 \| None \| None row 4 : arzew gl1z \| None \| algeria \| 1997 \| 7.9 \| None row 5 : skikda gl1k \| None \| algeria \| 1981 \| None \| None row 6 : skikda gl1k \| None \| algeria \| 1999 \| 6 \| None row 7 : angola lng \| soyo \| angola \| 2013 \| 5.2 \| chevron row 8 : lumut 1 \| None \| brunei \| 1972 \| 7.2 \| None row 9 : badak a-b \| bontang \| indonesia \| 1977 \| None \| None row 10 : badak a-d \| bontang \| indonesia \| 1986 \| None \| None row 11 : badak a-e \| bontang \| indonesia \| 1989 \| None \| None row 12 : badak a-f \| bontang \| indonesia \| 1993 \| None \| None row 13 : badak a-g \| bontang \| indonesia \| 1998 \| None \| None row 14 : badak ngl a-h \| bontang \| indonesia \| 1999 \| 22.6 \| None row 15 : atlantic lng \| point fortin \| trinidad and tobago \| 1999 \| None \| atlantic lng row 16 : [atlantic lng] \| [point fortin] \| trinidad and tobago \| 2003 \| 9.9 \| atlantic lng row 17 : None \| damietta \| egypt \| 2004 \| 5.5 \| segas lng row 18 : None \| idku \| egypt \| 2005 \| 7.2 \| None row 19 : bintulu mlng 1 \| None \| malaysia \| 1983 \| 7.6 \| None row 20 : bintulu mlng 2 \| None \| malaysia \| 1994 \| 7.8 \| None row 21 : bintulu mlng 3 \| None \| malaysia \| 2003 \| 3.4 \| None row 22 : nigeria lng \| None \| nigeria \| 1999 \| 23.5 \| None row 23 : northwest shelf venture \| karratha \| australia \| 2009 \| 16.3 \| None row 24 : withnell bay \| karratha \| australia \| 1989 \| None \| None row 25 : withnell bay \| karratha \| australia \| 1995 \| (7.7) \| None row 26 : sakhalin ii \| None \| russia \| 2009 \| 9.6 \| None row 27 : yemen lng \| balhaf \| yemen \| 2008 \| 6.7 \| None row 28 : tangguh lng project \| papua barat \| indonesia \| 2009 \| 7.6 \| None row 29 : qatargas i \| ras laffan \| qatar \| 1996 \| (4.0) \| None row 30 : qatargas i \| ras laffan \| qatar \| 2005 \| 10 \| None row 31 : qatargas iii \| None \| qatar \| 2010 \| 7.8 \| None row 32 : rasgas i, i \| ras laffan \| qatar \| 1999 \| 36.3 \| None row 33 : qalhat \| None \| oman \| 2000 \| 7.3 \| None row 34 : das island i \| None \| united arab emirates \| 1977 \| None \| None row 35 : das island i and ii \| None \| united arab emirates \| 1994 \| 5.7 \| None ] Execute this SQL based on the above table: select abs ( ( select startup date where plant name = 'das island i and ii' ) - ( select startup date where plant name = 'badak a-g' ) )	4
[ header: responsible minister(s) \| crown entities \| monitoring department(s) \| category / type \| empowering legislation row 1 : acc \| accident compensation corporation \| labour \| crown agent \| injury prevention, rehabilitation, and compensation act 2001 ( row 2 : arts, culture and heritage \| new zealand historic places trust (p \| culture and heritage \| ace \| historic places act 1993 (part 3) row 3 : arts, culture and heritage \| new zealand symphon \| culture and heritage \| ace \| new zealand symphon row 4 : broadcasting \| broadcasting commission (new zealand on \| culture and heritage \| ace \| broadcasting act 1989 (part 4 and schedule 1) row 5 : commerce \| securities commission \| economic development \| ice \| securities act 1978 (part 1) row 6 : commerce \| takeovers panel \| economic development \| ice \| takeovers act 1993 (part 1 and schedule row 7 : commerce \| testing laboratory registration council \| economic development \| ace \| testing laboratory registration act 1972 row 8 : community and voluntary sector \| charities commission \| internal affairs \| ace \| charities act 2005 (part 1) row 9 : cris and finance (2) \| crown research institutes (9) \| ccmau and treasur \| cec \| crown research institutes act 1992 row 10 : economic development and finance (2) \| new zealand venture investment fund limited \| ccmau and treasur \| cec \| none (company constitution) row 11 : finance \| government superannuation fund authority \| treasury \| ace \| government superannuation fund act 1956 ( row 12 : health \| alcohol advisory council of new zealand \| health \| ace \| alcohol advisory council act 1976 row 13 : health \| crown health financing agency \| health \| crown agent \| new zealand public health and disability act row 14 : health \| district health boards (21) \| health \| crown agent \| new zealand public health and disability act row 15 : health \| health and disability commissioner \| health \| ice \| health and disability commissioner act 1994 (part 1 and row 16 : health \| health research council of new zealand \| health \| crown agent \| health research council act 1990 (part 1 and schedule row 17 : health \| health sponsorship council \| health \| crown agent \| smoke-free environments act 1990 (part 3) row 18 : health \| pharmaceutical management agency \| health \| crown agent \| new zealand public health and disability act row 19 : law commission \| law commission \| justice \| ice \| law commission act 1985 (and schedule 1) row 20 : social development and employment \| new zealand artificial limb board \| social development \| ace \| social welfare (transitional provisions) act 1990 row 21 : social development and employment \| social workers registration board \| social development \| crown agent \| social workers registration act 2003 (part 6 and schedule row 22 : sport and recreation \| new zealand sports drug agency \| culture and heritage \| ice \| new zealand sports drug agency act 1994 row 23 : sport and recreation \| sport and recreation new zealand \| culture and heritage \| crown agent \| sport and recreation new zealand act 2002 row 24 : tertiary education \| tertiary education commission \| education \| crown agent \| education act 1989 (part 13a) row 25 : transport \| civil aviation authority of new zealand \| transport \| crown agent \| civil aviation act 1990 (part 6a and schedule row 26 : transport \| transit new zealand \| transport \| crown agent \| land transport management act 2003 (part 3 and schedule ] Execute this SQL based on the above table: select monitoring department(s) where category / type < monitoring department(s) order by empowering legislation desc limit 1	economic development
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select team order by id desc limit 1	pepsi max crew
[ header: year \| player \| position \| high school \| college row 1 : 1987 \| buster howe \| rb-db-k-p \| zanesville \| ohio state row 2 : 1988 \| robert smith \| rb \| euclid \| ohio state row 3 : 1989 \| robert smith \| rb \| euclid \| ohio state row 4 : 1990 \| bobby hoying \| qb \| st. henry \| ohio state row 5 : 1991 \| derek kidwell \| qb-de \| fostoria \| bowling green row 6 : 1992 \| marc edwards \| rb-lb \| norwood \| notre dame row 7 : 1993 \| curtis enis \| rb-lb \| mississinawa valley \| penn state row 8 : 1994 \| charles woodson \| db-rb \| fremont ross \| michigan row 9 : 1995 \| andy katzenmoyer \| lb \| westerville south \| ohio state row 10 : 1996 \| derek combs \| rb-db-kr \| grove city \| ohio state row 11 : 1997 \| tony fisher \| rb \| euclid \| notre dame row 12 : 1998 \| ryan brewer \| rb \| troy \| south carolina row 13 : 1999 \| bam childress \| db-wr-kr \| st. peter chanel \| ohio state row 14 : 2000 \| jeff backes \| rb-db \| upper arlington \| northwestern row 15 : 2001 \| maurice clarett \| rb \| warren g. harding \| ohio state row 16 : 2002 \| ben mauk \| qb \| kenton \| wake forest cincinnati row 17 : 2003 \| ray williams \| rb \| cleveland benedictine \| west virginia row 18 : 2004 \| tyrell sutton \| rb \| archbishop hoban \| northwestern row 19 : 2005 \| delone carter \| rb \| copley \| syracuse row 20 : 2006 \| brandon saine \| rb \| piqua \| ohio state row 21 : 2007 \| bart tanski \| qb \| mentor \| bowling green row 22 : 2008 \| erick howard \| rb \| north canton hoover \| akron row 23 : 2009 \| erick howard \| rb \| north canton hoover \| akron row 24 : 2010 \| akise teague \| rb-db-kr \| youngstown ursuline \| cincinnati row 25 : 2011 \| maty mauk \| qb \| kenton \| missouri row 26 : 2012 \| mitch trubisky \| qb \| mentor \| north carolina row 27 : 2013 \| dante booker jr \| lb \| st. vincent - s \| ohio state ] Execute this SQL based on the above table: select position group by position order by count ( * ) desc limit 1	rb
[ header: map (coordinates) \| municipality \| area (square kilometers) (square miles) \| population \| mesoregion \| microregion row 1 : 6°26′8′′s 36°38 \| acari \| 608.565 (234.967) \| 11035 \| central potiguar \| serido oriental row 2 : 6°11′40′′s 35°9 \| ares \| 112.584 (43.469) \| 12931 \| leste potiguar \| litoral sul row 3 : 5°41′50′′s 36°31 \| fernando pedroza \| 322.540 (124.533) \| 2850 \| central potiguar \| angicos row 4 : 6°8′57′′s 35°26 \| lagoa de pedras \| 117.660 (45.429) \| 6992 \| agreste potiguar \| agreste potiguar row 5 : 6°16′44′′s 35°22 \| passagem \| 41.235 (15.921) \| 2899 \| agreste potiguar \| agreste potiguar row 6 : 6°6′36′′s 37°18 \| patu \| 319.932 (123.526) \| 11964 \| oeste potiguar \| umarizal row 7 : 5°4′4′′s 36°46 \| porto do mangue \| 418.636 (161.635) \| 5217 \| oeste potiguar \| vale do acu row 8 : 5°58′30′′s 38°9 \| sao francisco do o \| 75.550 (29.170) \| 3874 \| oeste potiguar \| pau dos ferros row 9 : 6°6′36′′s 37°57 \| serrinha dos pintos \| 122.644 (47.353) \| 4538 \| oeste potiguar \| umarizal row 10 : 6°20′53′′s 35°22 \| varzea \| 67.245 (25.963) \| 5227 \| agreste potiguar \| agreste potiguar ] Execute this SQL based on the above table: select count ( * ) where microregion = 'vale do acu'	1
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 38 (100) \| 40 (104) \| 43 (109) \| 48 (118) \| 46 (115) \| 45 (113) \| 42.5 (108.5) \| 42.5 (108.5) \| 41 (106) \| 39 (102) \| 39 (102) \| 39 (102) \| 48 (118) row 2 : average high °c (°f) \| 20.7 (69.3) \| 23.2 (73.8) \| 26.9 (80.4) \| 30 (86) \| 32.2 (90) \| 33.8 (92.8) \| 34.8 (94.6) \| 34.5 (94.1) \| 31.5 (88.7) \| 27.6 (81.7) \| 24.1 (75.4) \| 21.2 (70.2) \| 28.4 (83.1) row 3 : daily mean °c (°f) \| 14.4 (57.9) \| 16.6 (61.9) \| 20 (68) \| 23.4 (74.1) \| 26.2 (79.2) \| 27.9 (82.2) \| 28.6 (83.5) \| 28.5 (83.3) \| 26.2 (79.2) \| 22.4 (72.3) \| 18.4 (65.1) \| 15.1 (59.2) \| 22.3 (72.1) row 4 : average low °c (°f) \| 8.2 (46.8) \| 10 (50) \| 13.2 (55.8) \| 16.7 (62.1) \| 20.2 (68.4) \| 22 (72) \| 22.3 (72.1) \| 22.5 (72.5) \| 20.9 (69.6) \| 17.2 (63) \| 12.7 (54.9) \| 9.1 (48.4) \| 16.3 (61.3) row 5 : record low °c (°f) \| -7 (19) \| -7 (19) \| -1 (30) \| 5 (41) \| 8 (46) \| 11.5 (52.7) \| 11 (52) \| 12.2 (54) \| 2 (36) \| 2 (36) \| -5 (23) \| -7.5 (18.5) \| -7.5 (18.5) row 6 : precipitation mm (inches) \| 16.6 (0.654) \| 16.5 (0.65) \| 19.9 (0.783) \| 29.7 (1.169) \| 52.3 (2.059) \| 68.4 (2.693) \| 43 (1.69) \| 79.6 (3.134) \| 150.6 (5.929) \| 77.2 (3.039) \| 23 (0.91) \| 14.1 (0.555) \| 590.9 (23.264) row 7 : avg. precipitation days (≥ \| 4.2 \| 3.8 \| 3.4 \| 4.5 \| 5.7 \| 5.6 \| 3.9 \| 6.4 \| 8.2 \| 6.5 \| 4.1 \| 3.4 \| 59.7 row 8 : avg. snowy days \| 0.03 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0.03 row 9 : % humidity \| 67 \| 64 \| 58 \| 61 \| 66 \| 66 \| 63 \| 63 \| 69 \| 71 \| 68 \| 69 \| 65 row 10 : mean monthly sunshine hours \| 193 \| 137 \| 155 \| 167 \| 163 \| 178 \| 194 \| 226 \| 167 \| 142 \| 196 \| 185 \| 2,104 ] Execute this SQL based on the above table: select count ( * ) group by month	1, 1, 1, 1, 1, 1, 1, 1, 1, 1
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select count ( language ) where language = 288	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select place order by to par desc limit 1	t8
[ header: month \| day \| visitor \| score \| home \| score row 1 : jan \| 2 \| wanderers \| 6 \| victorias \| 5 (10' overtime) row 2 : jan \| 5 \| montreal \| 5 \| shamrocks \| 3 row 3 : jan \| 5 \| quebec \| 1 \| ottawa \| 6 row 4 : jan \| 9 \| wanderers \| 6 \| montreal \| 3 row 5 : jan \| 12 \| ottawa \| 2 \| wanderers \| 4 row 6 : jan \| 12 \| victorias \| 10 \| quebec \| 1 row 7 : jan \| 16 \| victorias \| 16 \| shamrocks \| 3 row 8 : jan \| 19 \| shamrocks \| 2 \| ottawa \| 6 row 9 : jan \| 19 \| quebec \| 8 \| montreal \| 15 row 10 : jan \| 23 \| victorias \| 12 \| montreal \| 6 row 11 : jan \| 26 \| ottawa \| 12 \| victorias \| 10 row 12 : jan \| 26 \| wanderers \| 11 \| quebec \| 3 row 13 : jan \| 30 \| shamrocks \| 5 \| montreal \| 3 row 14 : feb \| 2 \| montreal \| 2 \| ottawa \| 5 row 15 : feb \| 2 \| quebec \| 8 \| shamrocks \| 11 row 16 : feb \| 6 \| wanderers \| 5 \| victorias \| 2 row 17 : feb \| 9 \| ottawa \| 5 \| quebec \| 4 (2' overtime) row 18 : feb \| 9 \| montreal \| 3 \| wanderers \| 16 row 19 : feb \| 13 \| shamrocks \| 7 \| victorias \| 19 row 20 : feb \| 16 \| victorias \| 7 \| ottawa \| 16 row 21 : feb \| 16 \| quebec \| 5 \| wanderers \| 13 row 22 : feb \| 19 \| shamrocks \| 5 \| wanderers \| 18 row 23 : feb \| 23 \| ottawa \| 12 \| shamrocks \| 6 row 24 : feb \| 23 \| montreal \| 5 \| quebec \| 9 row 25 : feb \| 27 \| montreal \| 8 \| victorias \| 13 row 26 : mar \| 2 \| wanderers \| 10 \| ottawa \| 6 row 27 : mar \| 2 \| quebec \| 6 \| victorias \| 7 row 28 : mar \| 6 \| shamrocks \| 5 \| wanderers \| 16 row 29 : mar \| 9 \| ottawa \| 6 \| montreal \| 8 row 30 : mar \| 9 \| shamrocks \| 5 \| quebec \| 17 ] Execute this SQL based on the above table: select count ( home ) where visitor = 'ottawa'	5
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select count ( distinct opponents in the final )	7