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[ header: outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1 | 1 august 2011 | sao paulo, brazi | clay | maria fernanda alves | 6-4, 5-7, 3-6
row 2 : winner | 1 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0
row 3 : winner | 2 | 2 april 2012 | ribeirao preto, brazil | hard | natasha fourouclas | 6-0, 6-1
row 4 : winner | 3 | 25 march 2013 | ribeirao preto, brazil | clay | andrea benitez | 7-6(7-2), 6-2
row 5 : winner | 4 | 15 april 2013 | antalya 15, turkey | hard | tereza martincova | 6-4, 6-3
row 6 : runner-up | 2 | 20 may 2013 | caserta, italy | clay | renata voracova | 4-6, 1-6
row 7 : runner-up | 3 | 17 june 2013 | lenzerheide, switze | clay | laura siegemund | 2-6, 3-6 ] Execute this SQL based on the above table: select count ( score ) where outcome = 'runner-up' | 3 |
[ header: pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34
row 2 : 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29
row 3 : 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26
row 4 : 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23
row 5 : 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22
row 6 : 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19
row 7 : 7 | 4 | nelson philippe | cte racing - hv | 66 | +1:29.997 | 10 | 17
row 8 : 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16
row 9 : 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13
row 10 : 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11
row 11 : 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10
row 12 : 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9
row 13 : 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8
row 14 : 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7
row 15 : 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6
row 16 : 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5
row 17 : 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4
row 18 : 18 | 14 | dan clarke | cte racing - hv | 7 | differential | 6 | 3 ] Execute this SQL based on the above table: select time/retired where driver = 'buddy rice' | + 1 lap |
[ header: draw | country | language | artist | song | english translation | place | points row 1 : 1 | spain | spanish | serafin zubiri | "todo esto es la | all this is music | 14 | 37
row 2 : 2 | belgium | french | morgane | "nous, on veut des violon | we want violins | 20 | 11
row 3 : 3 | israel | hebrew | dafna dekel | "ze rak sport" (זה רק | it's just sport | 6 | 85
row 4 : 4 | turkey | turkish | aylin vatankos | "yaz bitti" | summer is over | 19 | 17
row 5 : 5 | greece | greek | cleopatra | "olou tou kosmou | the whole world's hope | 5 | 94
row 6 : 6 | france | french, antillean creole | kali | "monte la rivie" | go up the river | 8 | 73
row 7 : 7 | sweden | swedish | christer bjorkman | "i morgon ar en annan | tomorrow is another day | 22 | 9
row 8 : 8 | portugal | portuguese | dina | "amor d'agua fr | fresh water love | 17 | 26
row 9 : 9 | cyprus | greek | evridiki | "teriazoume" (ταιριαζουμε) | we hit it off | 11 | 57
row 10 : 10 | malta | english | mary spiteri | "little child" | None | 3 | 123
row 11 : 11 | iceland | icelandic | heart 2 heart | "nei eða ja" | no or yes? | 7 | 80
row 12 : 12 | finland | finnish | pave maijanen | "yamma, yamm | None | 23 | 4
row 13 : 13 | switzerland | french | daisy auvray | "mister music man" | None | 15 | 32
row 14 : 14 | luxembourg | luxembourgish | marion welter & kontin | "sou frai" | so free | 21 | 10
row 15 : 15 | austria | german | tony wegas | "zusammen geh'n" | go together | 10 | 63
row 16 : 16 | united kingdom | english | michael ball | "one step out of time" | None | 2 | 139
row 17 : 17 | ireland | english | linda martin | "why me?" | None | 1 | 155
row 18 : 18 | denmark | danish | kenny lubcke & lotte | "alt det som ingen ser" | all the things that nobody sees | 12 | 47
row 19 : 19 | italy | italian | mia martini | "rapsodia" | rhapsody | 4 | 111
row 20 : 20 | fr yugoslavia | serbian | extra nena | "ljubim te pes | i'm kissing you with songs | 13 | 44
row 21 : 21 | norway | norwegian | merethe trøan | "visjoner" | visions | 18 | 23
row 22 : 22 | germany | german | wind | "traume sind fur alle da" | dreams are there for everyone | 16 | 27
row 23 : 23 | netherlands | dutch | humphrey campbell | "wijs me de weg" | show me the way | 9 | 67 ] Execute this SQL based on the above table: select english translation where place = ( select place where english translation = 'rhapsody' ) + 1 | the whole world's hope |
[ header: state | interview | swimsuit | evening gown | average row 1 : idaho | 8.688 | 8.925 | 8.850 | 8.821
row 2 : kentucky | 8.863 | 9.175 | 9.400 | 9.146
row 3 : vermont | 8.425 | 9.013 | 9.300 | 8.913
row 4 : texas | 8.688 | 8.975 | 8.875 | 8.846
row 5 : north dakota | 8.800 | 8.975 | 9.175 | 8.983
row 6 : washington | 8.688 | 8.788 | 8.863 | 8.779
row 7 : alabama | 8.650 | 8.475 | 8.938 | 8.688
row 8 : south dakota | 8.300 | 8.838 | 8.513 | 8.550
row 9 : new york | 8.463 | 8.713 | 8.400 | 8.525
row 10 : oklahoma | 8.275 | 8.325 | 8.700 | 8.433 ] Execute this SQL based on the above table: select state where id = 5 | north dakota |
[ header: # | date | visitor | score | home | record | pts row 1 : 2 | november 4 | montreal canadiens | 5-3 | chicago black hawks | 0-2-0 | 0
row 2 : 4 | november 7 | chicago black hawks | 1-5 | montreal canadiens | 1-3-0 | 2
row 3 : 5 | november 11 | boston bruins | 4-6 | chicago black hawks | 2-3-0 | 4
row 4 : 6 | november 13 | chicago black hawks | 4-1 | toronto maple leafs | 3-3-0 | 6
row 5 : 9 | november 21 | chicago black hawks | 2-5 | detroit red wings | 5-4-0 | 10
row 6 : 10 | november 25 | detroit red wings | 3-4 | chicago black hawks | 6-4-0 | 12
row 7 : 12 | november 30 | chicago black hawks | 5-6 | boston bruins | 7-5-0 | 14
row 8 : 13 | december 2 | chicago black hawks | 2-6 | montreal canadiens | 7-6-0 | 14
row 9 : 14 | december 5 | new york rangers | 6-7 | chicago black hawks | 8-6-0 | 16
row 10 : 17 | december 18 | chicago black hawks | 4-8 | toronto maple leafs | 9-8-0 | 18
row 11 : 23 | january 4 | chicago black hawks | 4-6 | boston bruins | 10-13-0 | 20
row 12 : 24 | january 6 | chicago black hawks | 1-6 | toronto maple leafs | 10-14-0 | 20
row 13 : 25 | january 9 | chicago black hawks | 2-4 | detroit red wings | 10-15-0 | 20
row 14 : 27 | january 16 | montreal canadiens | 1-1 | chicago black hawks | 11-15-1 | 23
row 15 : 29 | january 23 | toronto maple leafs | 3-5 | chicago black hawks | 12-16-1 | 25
row 16 : 32 | january 30 | detroit red wings | 2-3 | chicago black hawks | 15-16-1 | 31
row 17 : 34 | february 5 | chicago black hawks | 1-5 | montreal canadiens | 16-17-1 | 33
row 18 : 35 | february 6 | chicago black hawks | 4-4 | new york rangers | 16-17-2 | 34
row 19 : 43 | march 4 | chicago black hawks | 2-6 | detroit red wings | 20-19-4 | 44
row 20 : 44 | march 5 | detroit red wings | 1-6 | chicago black hawks | 21-19-4 | 46
row 21 : 47 | march 14 | chicago black hawks | 4-6 | boston bruins | 21-21-5 | 47
row 22 : 48 | march 16 | chicago black hawks | 2-3 | montreal canadiens | 21-22-5 | 47
row 23 : 49 | march 18 | chicago black hawks | 3-6 | detroit red wings | 21-23-5 | 47 ] Execute this SQL based on the above table: select abs ( ( select pts where date = 'january 30' ) - ( select pts where date = 'november 21' ) ) | 21.0 |
[ header: # | date | opponent | score | win | loss | save | attendance | record row 1 : 79 | july 1 | @ braves | 8-4 | gonzalez (11-3) | hudson (6-4) | None | 18796 | 45-32
row 2 : 82 | july 5 | giants | 6-5 | clippard (2-2) | casilla (2-4) | None | 29819 | 48-32
row 3 : 83 | july 6 | rockies | 1-5 | pomeranz (1-3) | strasburg (9-4) | betancourt (14) | 28951 | 48-33
row 4 : 84 | july 7 | rockies | 4-1 | gonzalez (12-3) | francis (2-2) | clippard (14) | 28032 | 49-33
row 5 : 85 | july 8 | rockies | 3-4 | brothers (4-2) | clippard (2-3) | betancourt (15) | 25125 | 49-34
row 6 : None | july 10 | 2012 major league baseball all-star game in | None | None | None | None | None | None
row 7 : 86 | july 13 | @ marlins | 5-1 | zimmermann (6-6) | johnson (5-6) | None | 30911 | 50-34
row 8 : 88 | july 15 | @ marlins | 4-0 | strasburg (10-4) | nolasco (8-7) | None | 29889 | 51-35
row 9 : 89 | july 16 | @ marlins | 3-5 | zambrano (5-7) | jackson (5-5) | dunn (1) | 29248 | 51-36
row 10 : 91 | july 18 | mets | 4-3 | zimmermann (7-6) | young (2-4) | clippard (15) | 31660 | 53-36
row 11 : 92 | july 19 | mets | 5-9 | dickey (13-1) | gonzalez (12-5) | None | 36389 | 53-37
row 12 : 93 | july 20 | braves | 10-11 (11) | o'flaherty (2-0 | gorzelanny (2-2) | durbin (1) | 34228 | 53-38
row 13 : 94 | july 21 | braves | 0-4 | sheets (2-0) | jackson (5-6) | None | 28745 | 53-39
row 14 : 52 | july 21 | braves | 5-2 | lannan (1-0) | martinez (4-2) | clippard (16) | 40047 | 54-39
row 15 : 95 | july 22 | braves | 9-2 | detwiler (5-3) | jurrjens (3-4) | None | 34917 | 55-39
row 16 : 96 | july 23 | @ mets | 8-2 (10) | gorzelanny (3-2) | byrdak (2-2) | None | 26735 | 56-39
row 17 : 97 | july 24 | @ mets | 5-2 | gonzalez (13-5) | dickey (13-2) | clippard (17) | 36236 | 57-39
row 18 : 98 | july 25 | @ mets | 5-2 | strasburg (11-4) | hefner (1-4) | clippard (18) | 35517 | 58-39
row 19 : 99 | july 26 | @ brewers | 8-2 | jackson (6-6) | gallardo (8-8) | None | 33176 | 59-39
row 20 : 100 | july 27 | @ brewers | 0-6 | fiers (4-4) | detwiler (5-4) | None | 35858 | 59-40
row 21 : 101 | july 28 | @ brewers | 4-1 | zimmermann (8-6) | wolf (3-7) | clippard (19) | 41890 | 60-40 ] Execute this SQL based on the above table: select opponent order by # desc limit 1 | @ brewers |
[ header: rd. | grand prix | date | location | pole position | fastest lap | winning driver | constructor | report row 1 : 1 | brazilian grand prix | 26 march | jacarepagua | ayrton senna | riccardo patrese | nigel mansell | ferrari | report
row 2 : 2 | san marino grand prix | 23 april | imola | ayrton senna | alain prost | ayrton senna | mclaren-honda | report
row 3 : 3 | monaco grand prix | 7 may | monaco | ayrton senna | alain prost | ayrton senna | mclaren-honda | report
row 4 : 4 | mexican grand prix | 28 may | hermanos rodriguez | ayrton senna | nigel mansell | ayrton senna | mclaren-honda | report
row 5 : 5 | united states grand prix | 4 june | phoenix | ayrton senna | ayrton senna | alain prost | mclaren-honda | report
row 6 : 6 | canadian grand prix | 18 june | circuit gilles villeneuve | alain prost | jonathan palmer | thierry boutsen | williams-renault | report
row 7 : 7 | french grand prix | 9 july | paul ricard | alain prost | mauricio gugelmin | alain prost | mclaren-honda | report
row 8 : 8 | british grand prix | 16 july | silverstone | ayrton senna | nigel mansell | alain prost | mclaren-honda | report
row 9 : 9 | german grand prix | 30 july | hockenheimring | ayrton senna | ayrton senna | ayrton senna | mclaren-honda | report
row 10 : 10 | hungarian grand prix | 13 august | hungaroring | riccardo patrese | nigel mansell | nigel mansell | ferrari | report
row 11 : 11 | belgian grand prix | 27 august | spa-francorchamps | ayrton senna | alain prost | ayrton senna | mclaren-honda | report
row 12 : 12 | italian grand prix | 10 september | monza | ayrton senna | alain prost | alain prost | mclaren-honda | report
row 13 : 13 | portuguese grand prix | 24 september | estoril | ayrton senna | gerhard berger | gerhard berger | ferrari | report
row 14 : 14 | spanish grand prix | 1 october | jerez | ayrton senna | ayrton senna | ayrton senna | mclaren-honda | report
row 15 : 15 | japanese grand prix | 22 october | suzuka | ayrton senna | alain prost | alessandro nannini | benetton-ford | report
row 16 : 16 | australian grand prix | 5 november | adelaide | ayrton senna | satoru nakajima | thierry boutsen | williams-renault | report ] Execute this SQL based on the above table: select count ( * ) where winning driver > 667 and report = 'report' | 16 |
[ header: rank | heat | name | nationality | time | notes row 1 : 1 | 1 | lacena golding-clarke | jamaica | 12.74 | q, pb
row 2 : 2 | 1 | vonette dixon | jamaica | 12.83 | q, pb
row 3 : 3 | 2 | diane allahgreen | england | 12.92 | q, pb
row 4 : 4 | 2 | brigitte foster | jamaica | 12.98 | q
row 5 : 5 | 2 | angela atede | nigeria | 13.01 | q, sb
row 6 : 6 | 1 | angela whyte | canada | 13.03 | q, pb
row 7 : 7 | 1 | julie pratt | england | 13.08 | q, pb
row 8 : 8 | 2 | jacquie munro | australia | 13.22 | q
row 9 : 9 | 1 | melanie wilkins | england | 13.29 | None
row 10 : 9 | 2 | sriyani kulawans | sri lanka | 13.29 | None
row 11 : 11 | 1 | fiona cullen | australia | 13.45 | None
row 12 : 12 | 2 | rachel king | wales | 13.58 | None
row 13 : 13 | 2 | tamsin stephens | northern ireland | 13.59 | None
row 14 : 14 | 1 | christy akinremi | nigeria | 13.73 | None
row 15 : None | 2 | shabana khattak | pakistan | dnf | None
row 16 : None | 1 | carole kaboud mebam | cameroon | dns | None
row 17 : None | 1 | olutoyin augustus | nigeria | dns | None ] Execute this SQL based on the above table: select nationality where time > ( select time where nationality = 'australia' ) order by time asc limit 1 | england |
[ header: # | stadium | capacity | city | home team row 1 : 1 | windsor park | 24734 | belfast | linfield, northern ireland
row 2 : 2 | the oval | 15000 | belfast | glentoran
row 3 : 3= | ballymena showgrounds | 8000 | ballymena | ballymena united
row 4 : 3= | new grosvenor stadium | 8000 | ballyskeagh | lisburn distillery
row 5 : 3= | shamrock park | 8000 | portadown | portadown
row 6 : 6 | brandywell stadium | 7700 | derry | derry city
row 7 : 7= | seaview | 6500 | belfast | crusaders
row 8 : 7= | the showgrounds | 6500 | coleraine | coleraine
row 9 : 7= | the showgrounds | 6500 | newry | newry city
row 10 : 10= | inver park | 6000 | larne | larne
row 11 : 10= | solitude | 6000 | belfast | cliftonville
row 12 : 10= | taylors avenue | 6000 | carrickfergus | carrick rangers
row 13 : 13 | dixon park | 5333 | ballyclare | ballyclare comrades
row 14 : 14 | mourneview park | 5000 | lurgan | glenavon
row 15 : 15 | donegal celtic park | 4200 | belfast | donegal celtic
row 16 : 16= | holm park | 3000 | armagh | armagh city
row 17 : 16= | lakeview park | 3000 | loughgall | loughgall
row 18 : 16= | ymca grounds | 3000 | drumahoe | institute
row 19 : 16= | stangmore park | 3000 | dungannon | dungannon swifts
row 20 : 16= | tillysburn park | 3000 | belfast | harland & wolff welder
row 21 : 21 | clandeboye park | 2850 | bangor | bangor, ards
row 22 : 22 | wilgar park | 2500 | belfast | dundela
row 23 : 23= | allen park | 2000 | antrim | chimney corner
row 24 : 23= | ferney park | 2000 | ballinamallard | ballinamallard united
row 25 : 23= | hagan park | 2000 | coagh | coagh united
row 26 : 23= | mill meadow | 2000 | castledawson | wakehurst, moyola park
row 27 : 23= | riada stadium | 2000 | ballymoney | glebe rangers, ballymoney
row 28 : 28= | crystal park | 1500 | banbridge | banbridge town
row 29 : 28= | fortwilliam park | 1500 | tobermore | tobermore united
row 30 : 28= | newforge lane | 1500 | belfast | psni
row 31 : 28= | the showgrounds (limavady) | 1500 | limavady | limavady united
row 32 : 32 | tandragee road | 1250 | portadown | annagh united
row 33 : 33 | darragh park | 1200 | castlederg | dergview
row 34 : 34= | knockrammer park | 1000 | lurgan | lurgan celtic
row 35 : 34= | mid ulster sports arena | 1000 | cookstown | killymoon rangers
row 36 : 36 | seahaven | 500 | portstewart | portstewart
row 37 : 37 | glen road heights | 400 | belfast | sport & leisure swifts
row 38 : 38 | upper braniel | 300 | belfast | knockbreda
row 39 : 39 | milltown playing fields | 280 | warrenpoint | warrenpoint town
row 40 : None | upper malone | None | belfast | queen's university ] Execute this SQL based on the above table: select capacity order by capacity desc limit 1 | 24734 |
[ header: year | japanese title | english title | role | network row 1 : 1997 | あくり | agri | None | nhk
row 2 : 1998 | ラフアントヒース | love & peace | yohei horiguchi | ntv
row 3 : 2001 | ネハーラント | neverland | osamu seto | tbs
row 4 : 2002 | hito ni yasashi | be nice to people | yusuke | fuji tv
row 5 : 2002 | engimono (演技者) | acting by | hachida | fuji tv
row 6 : 2004 | kino wa tomo kyo | None | None | None
row 7 : 2005 | dekabeya (六本木おかしな捜査班) | funny roppongi squad | yukio ochi | tv asahi
row 8 : 2005 | asuka e, soshite | to asuka and to the unseen | sawamura kazuya | fuji tv
row 9 : 2005 | nemureru mori no s | sleeping corpse | eiji/yamazaki | fuji tv
row 10 : 2006 | アキハハラ@deep | akihabara@deep | box | tbs
row 11 : 2007 | hana yori dango returns | boys over flowers 2 | junpei oribe | tbs
row 12 : 2007 | hanazakari no kimitachi | ikemen paradise | shuichi nakatsu | fuji tv
row 13 : 2008 | hachimitsu to clover (ハチミツとクローハー) | honey & clover | yuta takemoto | fuji tv
row 14 : 2008 | hanazakari no kimitachi | ikemen paradise | shuichi nakatsu | fuji tv
row 15 : 2008 | mao | devil | naoto serizawa | tbs
row 16 : 2009 | inochi naki mono no k | voice | ryosuke ishimatsu | fuji tv
row 17 : 2009 | majo saiban (魔女裁判) | the witch trial | toru yoshioka | fuji tv
row 18 : 2009 | yonimo \"kim\ | the law of recycling suicides | r 8427 | None
row 19 : 2010 | unobore deka (うぬほれ刑事) | conceited detective | sadame honjo | tbs
row 20 : 2010 | kyuukei no kou | spherical wilderness | shoichi soeda | fuji tv
row 21 : 2012 | osozaki no himawari | late blooming sunflower -my life renewed- | jotaro kodaira | fuji tv
row 22 : 2014 | gunshi kanbei | None | dom justo takayama | nhk ] Execute this SQL based on the above table: select role order by year desc limit 1 | dom justo takayama |
[ 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 count ( co-driver ) where points >= 'None' | 0 |
[ header: name | # | position | height | weight | year | home town | high school row 1 : harrison barnes | 40 | forward | 8-jun | 210 | freshman | ames, ia | ames
row 2 : daniel bolick | 3 | guard | 10-may | 175 | senior | carrboro, nc | chapel hill
row 3 : reggie bullock | 35 | guard | 7-jun | 190 | freshman | kinston, nc | kinston
row 4 : stewart cooper | 15 | forward | 5-jun | 205 | junior | winston-salem, n | forsyth county day
row 5 : patrick crouch | 30 | guard | 11-may | 175 | junior | asheville, nc | t.c. roberson
row 6 : larry drew ii | 11 | guard | 2-jun | 180 | junior | encino, ca | woodland hills taft
row 7 : david dupont | 22 | forward | 5-jun | 195 | junior | greensboro, nc | grimsley
row 8 : van hatchell | 13 | forward | 4-jun | 185 | senior | chapel hill, nc | cresset christian
row 9 : john henson | 31 | forward | 10-jun | 210 | sophomore | tampa, fl | sickles
row 10 : d.j. johnston | 32 | forward | 4-jun | 195 | junior | lower gwynedd, pa | germantown
row 11 : justin knox | 25 | forward | 9-jun | 240 | graduate | tuscaloosa, al | central
row 12 : kendall marshall | 5 | guard | 3-jun | 186 | freshman | dumfries, va | bishop o'connell
row 13 : leslie mcdonald | 15 | guard | 4-jun | 215 | sophomore | memphis, tn | briarcrest christian
row 14 : dexter strickland | 1 | guard | 3-jun | 180 | sophomore | rahway, nj | st. patrick
row 15 : justin watts | 24 | guard | 4-jun | 210 | junior | durham, nc | jordan
row 16 : tyler zeller | 44 | forward | jul-00 | 250 | junior | washington, in | washington ] Execute this SQL based on the above table: select year where year in ( 'sophomore' , 'freshman' ) order by weight desc limit 1 | sophomore |
[ header: rank | heat | name | nationality | time | notes row 1 : 1 | 1 | lacena golding-clarke | jamaica | 12.74 | q, pb
row 2 : 2 | 1 | vonette dixon | jamaica | 12.83 | q, pb
row 3 : 3 | 2 | diane allahgreen | england | 12.92 | q, pb
row 4 : 4 | 2 | brigitte foster | jamaica | 12.98 | q
row 5 : 5 | 2 | angela atede | nigeria | 13.01 | q, sb
row 6 : 6 | 1 | angela whyte | canada | 13.03 | q, pb
row 7 : 7 | 1 | julie pratt | england | 13.08 | q, pb
row 8 : 8 | 2 | jacquie munro | australia | 13.22 | q
row 9 : 9 | 1 | melanie wilkins | england | 13.29 | None
row 10 : 9 | 2 | sriyani kulawans | sri lanka | 13.29 | None
row 11 : 11 | 1 | fiona cullen | australia | 13.45 | None
row 12 : 12 | 2 | rachel king | wales | 13.58 | None
row 13 : 13 | 2 | tamsin stephens | northern ireland | 13.59 | None
row 14 : 14 | 1 | christy akinremi | nigeria | 13.73 | None
row 15 : None | 2 | shabana khattak | pakistan | dnf | None
row 16 : None | 1 | carole kaboud mebam | cameroon | dns | None
row 17 : None | 1 | olutoyin augustus | nigeria | dns | None ] Execute this SQL based on the above table: select time group by time having count ( nationality ) = ( select count ( nationality ) group by time order by count ( nationality ) desc limit 1 ) | 13.29, dns |
[ header: week | date | opponent | result | attendance row 1 : 1 | september 12, 1982 | at new york jets | w 45-28 | 53,360
row 2 : 2 | september 19, 1982 | baltimore colts | w 24-20 | 51,999
row 3 : 3 | november 21, 1982 | at buffalo bills | w 9-7 | 52,945
row 4 : 4 | november 29, 1982 | at tampa bay buccaneers | l 17-23 | 65,854
row 5 : 5 | december 5, 1982 | minnesota vikings | w 22-14 | 45,721
row 6 : 6 | december 12, 1982 | at new england patriots | l 0-3 | 25,716
row 7 : 7 | december 18, 1982 | new york jets | w 20-19 | 67,702
row 8 : 8 | december 27, 1982 | buffalo bills | w 27-10 | 73,924
row 9 : 9 | january 2, 1983 | at baltimore colts | w 34-7 | 19,073 ] Execute this SQL based on the above table: select count ( * ) where opponent = 'new york jets' | 1 |
[ header: year | laureate | relation | category | rationale row 1 : 1922 | otto fritz meyerhof | research professor in physiological chemistry, 1940-1951 | physiology or medicine | "for his discovery of the fixed relationship between the
row 2 : 1955 | vincent du vigneaud | assistant in biochemistry, graduate school of medicine, | chemistry | "for his work on sulphur compounds
row 3 : 1964 | martin luther king | graduate student, 1950-51 | nobel peace prize | for being "the first person in the western world
row 4 : 1967 | ragnar granit | research fellow, 1929-1931; sc | physiology or medicine | "for their discoveries concerning the primary physiological and chemical
row 5 : 1971 | simon kuznets | assistant professor of economic statistics, 1930-1934; | economics | "for his empirically founded interpretation of economic growth
row 6 : 1985 | michael stuart brown | a.b., 1962; m | physiology or medicine | "for their discoveries concerning the regulation of cholesterol metabolism
row 7 : 2000 | alan macdiarmid | department of chemistry, 1955- ; blanc | chemistry | "for their discovery and development of conductive poly
row 8 : 2000 | hideki shirakawa | department of chemistry, post-doctoral | chemistry | "for their discovery and development of conductive poly
row 9 : 2004 | edward c. prescott | assistant professor, 1967-1971 | economics | "for their contributions to dynamic macroeconomics:
row 10 : 2006 | edmund phelps | professor, 1966-1971 | economics | "for his analysis of intertemporal tradeoff
row 11 : 2009 | george e. smith | b.s., 1955 | physics | "for the invention of an imaging semiconductor circuit
row 12 : 2009 | oliver e. williamson | professor, 1965-1983 | economics | "for his analysis of economic governance, especially the
row 13 : 2010 | ei'ichi negishi | ph.d., 1963 | chemistry | "for palladium-catalyze
row 14 : 2011 | thomas j. sargent | professor, 1970-1971 | economics | "for their empirical research on cause and effect in ] Execute this SQL based on the above table: select count ( year ) | 14 |
[ header: year | title | chart positions nor | chart positions aus | chart positions aut | chart positions bel | chart positions ger | chart positions nl | chart positions nz | chart positions swe | chart positions swi | chart positions uk | album row 1 : 2003 | "she's so high" | 1 | 60 | 42 | 9 | 25 | 16 | 38 | None | 91 | 25 | i
row 2 : 2004 | "here she comes" | 12 | None | None | 53 | None | None | None | None | None | None | i
row 3 : 2004 | "all you have to offer" | None | None | None | None | None | None | None | None | None | None | i
row 4 : 2004 | "my street" | None | None | None | None | None | None | None | None | None | None | a part of me
row 5 : 2004 | "before you leave" | None | None | None | 52 | None | None | None | None | None | None | a part of me
row 6 : 2005 | "never easy" | None | None | None | None | None | None | None | None | None | None | a part of me
row 7 : 2006 | "when the stars go blue" (feat | 14 | None | None | None | None | None | None | None | None | None | venke knutson's places
row 8 : 2006 | "hallelujah" (with espen | 1 | None | None | None | None | None | None | None | None | None | hallelujah - live
row 9 : 2006 | "boys of summer" (with espen | 12 | None | None | None | None | None | None | None | None | None | hallelujah - live
row 10 : 2007 | "push, push" | 1 | None | None | None | None | None | None | None | None | None | push push
row 11 : 2007 | "silence" | 9 | None | None | None | None | None | None | None | None | None | push push
row 12 : 2008 | "reality kicks" | 20 | None | None | None | None | None | None | None | None | None | push push
row 13 : 2008 | "lost highway" (featuring will | 1 | None | None | None | None | None | None | None | None | None | rise to the occasion
row 14 : 2008 | "don't have what it takes" | 19 | None | None | None | None | None | None | None | None | None | rise to the occasion
row 15 : 2008 | "rise to the occasion" | None | None | None | None | None | None | None | 38 | None | None | rise to the occasion
row 16 : 2009 | "with or without you" (with espen | 1 | None | None | None | None | None | None | None | None | None | hallelujah - live volume 2
row 17 : 2010 | "himmel pa jord" | 5 | None | None | None | None | None | None | None | None | None | have yourself a merry little christmas
row 18 : 2013 | "adieu" | 9 | None | None | None | None | None | None | None | None | None | None
row 19 : 2013 | "engler i sneen | 7 | None | None | None | None | None | None | None | None | None | None ] Execute this SQL based on the above table: select count ( album ) where title = '"with or without you" (with espen lind, askil holm and alejandro fuentes)' | 1 |
[ header: year | title | role | notes row 1 : 1980 | hawaii five-o | neal forrester | episode: "the flight of the jewels"
row 2 : 1982 | american playhouse | jed jenkins | episode: "the fifth of july"
row 3 : 1991 | saturday night live | host | episode: jeff daniels/
row 4 : 1993 | frasier | doug | episode: "here's looking at you
row 5 : 1995 | saturday night live | host | episode: jeff daniels/
row 6 : 2010 | planet sheen | glonb | episode: "what's up chock?"
row 7 : 2012-present | the newsroom | will mcavoy | 19 episodes primetime emmy award for ] Execute this SQL based on the above table: select title group by title order by count ( * ) desc limit 1 | saturday night live |
[ header: rank | swimmer | country | time | note row 1 : 1 | claudia poll | costa rica | 57.43 | q
row 2 : 2 | vanessa garcia | puerto rico | 57.95 | q
row 3 : 3 | arlene semeco | venezuela | 58.11 | q
row 4 : 4 | heysi villarreal | cuba | 58.67 | q
row 5 : 5 | mariana alvarado | mexico | 58.69 | q
row 6 : 6 | carolina moreno | mexico | 59.11 | q
row 7 : 7 | isabella tafur | colombia | 59.7 | q
row 8 : 8 | ximena maria vilar | venezuela | 59.79 | q
row 9 : 9 | nikia hillarie | bahamas | 59.92 | None
row 10 : 10 | sharon fajardo | honduras | 1:00.45 | None
row 11 : 11 | maria alvarez | colombia | 1:00.76 | None
row 12 : 12 | alia atkinson | jamaica | 1:01.17 | None
row 13 : 13 | alexis jordan | barbados | 1:01.79 | None
row 14 : 14 | sharntelle mclean | trinidad and tobago | 1:03.26 | None
row 15 : 15 | jennifer powell | cayman islands | 1:03.41 | None
row 16 : 16 | nishani cicilson | suriname | 1:03.88 | None
row 17 : 17 | sade daal | suriname | 1:04.70 | None
row 18 : 18 | dalia torrez | nicaragua | 1:05.69 | None
row 19 : None | gisela morales | guatemala | dns | None
row 20 : None | alana dillette | bahamas | dns | None
row 21 : None | pamela benitez | el salvador | dns | None
row 22 : None | nilshaira isenia | netherlands antilles | dns | None ] Execute this SQL based on the above table: select count ( country ) where ( note = 'None' and time >= '1:01.17' ) or ( note = 'None' and rank >= '1:01.17' ) | 0 |
[ header: date | opponent# | rank# | site | result | attendance row 1 : september 10 | miami (fl) | #5 | ohio stadium • columbus | w 10-0 | 86287
row 2 : september 17 | minnesota | #6 | ohio stadium • columbus | w 38-7 | 87799
row 3 : september 24 | #3 oklahoma | #4 | ohio stadium • columbus | l 28-29 | 88119
row 4 : october 1 | at smu | #6 | cotton bowl • dallas, t | w 35-7 | 51970
row 5 : october 8 | purdue | #4 | ohio stadium • columbus | w 46-0 | 87707
row 6 : october 15 | at iowa | #5 | kinnick stadium • iowa city | w 27-6 | 60070
row 7 : october 22 | at northwestern | #4 | dyche stadium • evanston | w 35-15 | 29563
row 8 : october 29 | wisconsin | #3 | ohio stadium • columbus | w 42-0 | 87837
row 9 : november 5 | at illinois | #4 | memorial stadium • champaign, il | w 35-0 | 66973
row 10 : november 12 | indiana | #4 | ohio stadium • columbus | w 35-7 | 87786
row 11 : november 19 | at #5 michigan | #4 | michigan stadium • ann arbor, mi | l 6-14 | 106024
row 12 : january 2 | vs. #3 alabama | #9 | louisiana superdome • new orle | l 6-35 | 76811 ] Execute this SQL based on the above table: select site where id = ( select id where site = 'ohio stadium • columbus, oh' ) + 1 | ohio stadium • columbus, oh |
[ header: year | date | title | format(s) | award description(s) | result(s) row 1 : 1987 | july 28 | whitney | album | gold | won
row 2 : 1987 | july 28 | whitney | album | platinum | won
row 3 : 1987 | july 28 | whitney | album | 2× multi-platinum | won
row 4 : 1987 | july 28 | "i wanna dance with somebody (who loves | single | gold | won
row 5 : 1987 | august 4 | whitney | album | 3× multi-platinum | won
row 6 : 1987 | september 30 | whitney | album | 4× multi-platinum | won
row 7 : 1987 | november 20 | whitney | album | 5× multi-platinum | won
row 8 : 1988 | april 18 | whitney | album | 6× multi-platinum | won
row 9 : 1989 | february 13 | "i wanna dance with somebody (who loves | single | platinum | won
row 10 : 1993 | june 23 | whitney | album | 7× multi-platinum | won
row 11 : 1994 | november 29 | whitney | album | 8× multi-platinum | won
row 12 : 1995 | november 29 | whitney | album | 9× multi-platinum | won
row 13 : 1995 | december 6 | "so emotional" | single | gold | won ] Execute this SQL based on the above table: select format(s) order by year desc limit 1 | album |
[ header: year | film | function | notes row 1 : 2002 | the bacchae | producer | screen adaptation of euripides' classic
row 2 : 2004 | shakespeare's merchant | producer | adaptation of shakespeare's the merchant
row 3 : 2004 | the trojan women | producer/actress | documentary film of brad mays' 2003 los
row 4 : 2007 | schooled | co-producer | None
row 5 : 2008 | sing*ularity | producer | documentary about the world-famous operaworks
row 6 : 2008 | the watermelon | producer | oddball romantic comedy, written by michae
row 7 : 2008 | the audacity of democracy | producer | documentary film of the 2008 democratic presidential primary, shot
row 8 : 2011 | customer diss-service | co-producer | web series directed by brad mays and
row 9 : 2012 | beginning blue | producer, writer | feature film about an all-girl rock band determined
row 10 : 2012 | the donut shop | co-producer | comedy short directed by brad mays, and
row 11 : 2013 | i grew up in princeton | producer | feature documentary directed by brad mays ] Execute this SQL based on the above table: select count ( notes ) where year >= 2012 | 3 |
[ header: year | winners | score | score | runners-up | venue | winning captain row 1 : 2000 | meath | 5-14 (29) | 2-10 (16) | carlow | cusack park | None
row 2 : 2001 | kerry | 4-14 (22) | 3-10 (19) | westmeath | croke park | michael 'boxer'
row 3 : 2002 | laois | 1-20 (23) | 2-14 (20) | antrim | semple stadium | john lyons
row 4 : 2003 | antrim | 3-18 (27) | 3-12 (21) | kerry | croke park | None
row 5 : 2004 | down | 5-15 (30) | 3-7 (16) | westmeath | gaelic grounds | simon wilson
row 6 : 2005 | offaly | 6-21 (39) | 4-7 (19) | carlow | semple stadium | barry teehan
row 7 : 2006 | dublin | 0-16 (16) | 1-6 (9) | kerry | semple stadium | philip brennan
row 8 : 2007 | laois | 2-19 (25) | 0-8 (8) | wicklow | semple stadium | joe fitzpatrick
row 9 : 2008 | westmeath | 2-12 (18) | 0-12 (12) | carlow | gaelic grounds | brendan murtagh
row 10 : 2009 | offaly | 1-13 (16) | 0-13 (13) | wexford | semple stadium | ger oakley
row 11 : 2010 | wexford | 1-16 (19) | 2-9 (15) | clare | semple stadium | diarmuid lyng
row 12 : 2011 | limerick | 4-12 (24) | 2-13 (19) | clare | cusack park | gavin o'mahony
row 13 : 2012 | clare | 0-21 (21) | 1-16 (19) | limerick | gaelic grounds | patrick donnellan
row 14 : 2013 | dublin | 1-16 (19) | 1-15 (18) | limerick | semple stadium | tbc ] Execute this SQL based on the above table: select count ( winning captain ) where winning captain != 'ger oakley' and year = ( select year where winning captain = 'ger oakley' ) | 0 |
[ header: position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26
row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16
row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14
row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8
row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1
row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7
row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9
row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5
row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16
row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9
row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11
row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1
row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5
row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10
row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15
row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53 ] Execute this SQL based on the above table: select club where id = ( select id where club = 'albacete balompie' ) + 1 | cd san fernando |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 18 | 8 | 8 | 34
row 2 : 2 | india | 4 | 5 | 6 | 15
row 3 : 3 | philippines | 4 | 3 | 3 | 10
row 4 : 4 | taiwan | 2 | 6 | 7 | 15
row 5 : 5 | south korea | 2 | 3 | 1 | 6
row 6 : 6 | thailand | 2 | 2 | 0 | 4
row 7 : 7 | pakistan | 2 | 1 | 0 | 3
row 8 : 8 | iran | 2 | 0 | 2 | 4
row 9 : 9 | israel | 1 | 0 | 1 | 2
row 10 : 10 | singapore | 0 | 4 | 4 | 8
row 11 : 11 | malaysia | 0 | 3 | 1 | 4
row 12 : 12 | iraq | 0 | 2 | 0 | 2
row 13 : 13 | kampuchea | 0 | 0 | 2 | 2
row 14 : 14 | nepal | 0 | 0 | 1 | 1 ] Execute this SQL based on the above table: select total where nation = 'israel' | 2 |
[ header: year | vidhan sabha | members of legislative assembly | winning party | nearest contesting party row 1 : 1951 | 01st vidhan sab | shri hari prasad | sop | inc
row 2 : 1957 | 02nd vidhan sabha | shri bhihari lal | psp | inc
row 3 : 1962 | 03rd vidhan sab | shri durga prasad | inc | psp
row 4 : 1967 | 04th vidhan sabha | shri munendra pal singh | psp | bjs
row 5 : 1969 | 05th vidhan sab | shri tej bhah | bkd | bjs
row 6 : 1974 | 06th vidhan sabha | shri tej bhah | inc | bjs
row 7 : 1977 | 07th vidhan sabha | shri munendra pal singh | jnp | inc
row 8 : 1980 | 08th vidhan sabha | shri tej bhah | inc | jnp
row 9 : 1985 | 09th vidhan sabha | shri tej bhah | inc | jnp
row 10 : 1989 | 10th vidhan sabha | shri harish kumar | jnp | bjp
row 11 : 1991 | 11th vidhan sabha | shri ram saran verm | bjp | inc
row 12 : 1993 | 12th vidhan sabha | shri ram saran verm | bjp | inc
row 13 : 1996 | 13th vidhan sabha | shri anish ahemd k | bsp | bjp
row 14 : 2002 | 14th vidhan sabha | shri anish ahemd k | bsp | bjp
row 15 : 2007 | 15th vidhan sabha | shri anish ahemd k | bsp | bjp
row 16 : 2012 | 16th vidhan sabha | shri ram saran verm | bjp | inc ] Execute this SQL based on the above table: select members of legislative assembly where year = 1996 | shri anish ahemd khan |
[ header: rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231
row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102
row 3 : 3 | great britain (gbr) | 34 | 43 | 43 | 120
row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84
row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85
row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98
row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43
row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66
row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36
row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39
row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522 ] Execute this SQL based on the above table: select count ( npc ) | 11 |
[ header: district | senator | party | caucus | first elected | counties represented row 1 : 1 | kenneth p. lavalle | republican | republican | 1976 | suffolk
row 2 : 3 | lee zeldin | republican | republican | 2010 | suffolk
row 3 : 8 | vacant | None | None | None | nassau, suffo
row 4 : 10 | james sanders, j | democratic | democratic | 2012 | queens
row 5 : 11 | tony avella | democratic | democratic | 2010 | queens
row 6 : 13 | jose peralta | democratic | democratic | 2010 | queens
row 7 : 14 | malcolm smith | democratic | no caucus | 2000 | queens
row 8 : 15 | joseph addabbo, j | democratic | democratic | 2008 | queens
row 9 : 16 | toby ann stavisky | democratic | democratic | 1999 | queens
row 10 : 17 | simcha felder | democratic | republican | 2012 | brooklyn
row 11 : 20 | vacant | None | None | None | brooklyn
row 12 : 24 | andrew j. lanza | republican | republican | 2006 | staten island
row 13 : 25 | velmanette montgomery | democratic | democratic | 1984 | brooklyn
row 14 : 26 | daniel squadron | democratic | democratic | 2008 | brooklyn, manhattan
row 15 : 27 | brad hoylman | democratic | democratic | 2012 | manhattan
row 16 : 28 | liz krueger | democratic | democratic | 2002 | manhattan
row 17 : 29 | jose m. serrano | democratic | democratic | 2004 | manhattan, the bronx
row 18 : 31 | adriano espaillat | democratic | democratic | 2010 | manhattan
row 19 : 32 | ruben diaz, sr | democratic | democratic | 2002 | the bronx
row 20 : 33 | gustavo rivera | democratic | democratic | 2010 | the bronx
row 21 : 35 | andrea stewart-cousins | democratic | democratic | 2006 | westchester
row 22 : 37 | george s. latimer | democratic | democratic | 2012 | westchester
row 23 : 40 | gregory r. ball | republican | republican | 2010 | dutchess, putnam, westchester
row 24 : 41 | terry w. gipson | democratic | democratic | 2012 | dutchess, putnam
row 25 : 42 | john bonacic | republican | republican | 1998 | delaware, orange, sulliv
row 26 : 45 | betty little | republican | republican | 2002 | clinton, essex, fran
row 27 : 46 | cecilia tkaczyk | democratic | democratic | 2012 | albany, greene, montgomery
row 28 : 47 | joseph griffo | republican | republican | 2006 | lewis, oneida, saint
row 29 : 48 | patty ritchie | republican | republican | 2010 | jefferson, oswego,
row 30 : 50 | john defrancisco | republican | republican | 1992 | cayuga, onondaga
row 31 : 51 | james seward | republican | republican | 1986 | cayuga, chenango, cort
row 32 : 52 | thomas w. libous | republican | republican | 1988 | broome, chenango, delaware ] Execute this SQL based on the above table: select count ( party ) where district > 24 | 20 |
[ header: year | film | language | character | co-star | music | banner row 1 : 1941 | bhaktimala | telugu | radha | None | None | bhaskar films
row 2 : 1941 | dharmapatni | tamil | None | None | None | famous films
row 3 : 1944 | tahsildar | telugu | kamala | None | None | None
row 4 : 1946 | gruhapravesam | telugu | janaki | None | None | sarati films
row 5 : 1947 | ratnamala | telugu | ratnamala | c. s. r. an | c. r. subburaman | bharani pictures
row 6 : 1949 | laila majnu | telugu | laila | a. nageswara r | c. r. subburaman | bharani pictures
row 7 : 1949 | apoorva sagodhar | tamil | kanchana | m. k. radha | s. rajeswara | gemini studios
row 8 : 1951 | malleeswari | telugu | malleeswari | n. t. rama r | adepalli rama r | vijaya studios
row 9 : 1951 | mangala | hindi | mangala | None | None | gemini studios
row 10 : 1952 | rani | tamil | None | s. balachander | c. r. subburaman | jupiter pictures
row 11 : 1952 | rani | hindi | None | anoop kumar | c. r. subburaman | jupiter pictures
row 12 : 1953 | chandirani | hindi | champa & chandi | dilip kumar | c. r. subburaman | bharani pictures
row 13 : 1957 | makkalai petra magarasi | tamil | rangamma | sivaji ganesan | k. v. mahadevan | sri lakshmi
row 14 : 1961 | batasari | telugu | madhavi | a. nageswara r | master venu | bharani pictures
row 15 : 1965 | antastulu | telugu | None | a. nageswara r | k. v. mahadevan | None
row 16 : 1967 | grihalakshmi | telugu | laxmi | None | None | None
row 17 : 1967 | pattatthu rani | tamil | None | gemini ganesan | t. k. ramamoorth | None
row 18 : 1984 | mangamma gari manavadu | telugu | mangamma | None | None | None
row 19 : 1988 | attagaru swagatham | telugu | None | None | None | None ] Execute this SQL based on the above table: select language order by year desc limit 1 | telugu |
[ header: year | location(s) | number of contestants | ladies winner | men's winner row 1 : 1965 | skane, blekinge, | 156 | sweden inga-britt | sweden nils bohman
row 2 : 1966 | smaland (4), vastergot | 672 | sweden kerstin gran | finland juhani salmenky
row 3 : 1967 | motala | 1 910 | sweden ulla lindk | sweden kalle johan
row 4 : 1968 | boras | 3 250 | sweden ulla lindk | norway age hadler
row 5 : 1970 | kristianstad | 6 378 | sweden ulla lindk | sweden bernt fril
row 6 : 1972 | eksjo | 8 253 | sweden ulla lindk | sweden hans aurell
row 7 : 1975 | haninge | 9 322 | sweden anne lundmark | finland matti makinen
row 8 : 1976 | ransater | 14 843 | hungary sarolta mon | sweden gert pettersson
row 9 : 1977 | visby | 7 186 | finland liisa veija | norway sigurd dæhli
row 10 : 1979 | orebro | 15 842 | sweden britt-marie | sweden lars-henrik
row 11 : 1981 | mohed | 18 983 | sweden annichen kring | sweden jorgen martens
row 12 : 1982 | lulea | 13 631 | sweden annichen kring | sweden lars lon
row 13 : 1985 | falun | 25 021 | sweden annichen kring | sweden joakim ingel
row 14 : 1986 | boras | 17 353 | sweden annichen kring | sweden anders erik
row 15 : 1989 | ostersund | 17 818 | sweden barbro lonn | sweden niklas lowe
row 16 : 1991 | arboga | 16 581 | sweden arja hannus | sweden hakan eriks
row 17 : 1992 | sodertalje | 17 806 | sweden gunilla svar | denmark allan mogensen
row 18 : 1994 | ornskoldsvik | 14 414 | sweden katarina | norway petter thoresen
row 19 : 1996 | karlstad | 17 007 | sweden annika zell | sweden jorgen martens
row 20 : 1997 | umea | 11 179 | sweden katarina | sweden jorgen martens
row 21 : 1998 | gavle | 13 249 | norway hanne staff | sweden johan ivar
row 22 : 1999 | borlange | 15 238 | sweden jenny jo | sweden fredrik lowe
row 23 : 2003 | uddevalla | 14 998 | united kingdom heather monro | finland mats haldin
row 24 : 2005 | skillingaryd | 12 657 | sweden emma eng | sweden emil wingsted ] Execute this SQL based on the above table: select number of contestants where ladies winner = 'sweden katarina borg' | 14 414, 11 179 |
[ header: name | audition taken in | gang | notes row 1 : nauman sait | bangalore | om blues | winner of season 6 : hell down under.
row 2 : longkiri timung (kiri) | kolkata | om blues | runner-up. won a hero
row 3 : gurmeet kaur johal | bangalore | om blues | won a hero honda kariz
row 4 : natasha sinha | chandigarh | brats | voted out in the 11th episode. brought
row 5 : puneet malhotra (su | mumbai | None | won a hero honda kariz
row 6 : paulami de | kolkata | om blues | voted out in the 12th episode
row 7 : samrat kaushal | ahmedabad | om blues | won a hero honda kariz
row 8 : tamanna sharma ( | chandigarh | om blues | got a hero honda kariz
row 9 : sandeep singh (sandy | new delhi | brats | voted out in the 7th episode
row 10 : bobby chopra | new delhi | brats | evicted in the 7th episode by
row 11 : pradeep singh | new delhi | brats | evicted in the 7th episode by
row 12 : suzanna mukherjee ( | mumbai | brats | voted out in the 6th episode
row 13 : roop bhinder | new delhi | brats | voted out in the 5th episode
row 14 : devarshi patel (dev) | ahmedabad | om blues | eliminated himself in the 5th episode by voluntarily
row 15 : varisha hawelia | kolkata | om blues | voted out in the 2nd episode
row 16 : sonia chauhan | chandigarh | None | evicted in the 1st episode
row 17 : bhanu pratap singh ran | ahmedabad | None | evicted in the 1st episode
row 18 : neha kapoor | new delhi | None | evicted in the 1st episode
row 19 : ankur khanduja | chandigarh | None | evicted in the 1st episode ] Execute this SQL based on the above table: select audition taken in where audition taken in = 'new delhi' | new delhi, new delhi, new delhi, new delhi, new delhi |
[ header: parish | locality | parish priest | founded | closed row 1 : st mary | bacup | fr frank thorpe | 1852 | None
row 2 : our immaculate mother & st | whitworth | fr frank thorpe | 1860 | None
row 3 : st joseph | stacksteads | None | 1947 | 2005
row 4 : st joseph & | newchurch-in-rossendale | fr philip boast | 1915 | None
row 5 : the immaculate conception | haslingden | fr canon john mackie | 1854 | None
row 6 : st veronica (chapel of | helmshore | served from the immaculate conception | 1959 | None
row 7 : st james the less | rawtenstall | fr david lupton, rural de | 1828 | None ] Execute this SQL based on the above table: select count ( locality ) where parish = 'our immaculate mother & st anselm' and locality = 'stacksteads' | 0 |
[ 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 map # where population = '300000' and map # != 24 | 26 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | china | 9 | 3 | 2 | 14
row 2 : 2 | malaysia | 3 | 3 | 1 | 7
row 3 : 3 | japan | 2 | 3 | 6 | 11
row 4 : 4 | south korea | 2 | 2 | 5 | 9
row 5 : 5 | kazakhstan | 1 | 3 | 0 | 4
row 6 : 6 | chinese taipei | 1 | 1 | 3 | 5
row 7 : 7 | iran | 1 | 1 | 0 | 2
row 8 : 8 | hong kong | 1 | 0 | 2 | 3
row 9 : 9 | kyrgyzstan | 1 | 0 | 0 | 1
row 10 : 10 | uzbekistan | 0 | 3 | 1 | 4
row 11 : 11 | thailand | 0 | 1 | 1 | 2
row 12 : 12 | indonesia | 0 | 1 | 0 | 1
row 13 : total | total | 21 | 21 | 21 | 63 ] Execute this SQL based on the above table: select count ( distinct nation ) where nation <= 'indonesia' | 4 |
[ header: season | division | w-l | finish | home | road | gf | ga | coach | playoffs | avg attendance row 1 : 2006 | western | 1-15 | 6th | 0-8 | 1-7 | 150 | 202 | paul day | missed playoffs | 10367
row 2 : 2007 | western | 6-10 | 5th | 4-4 | 2-6 | 160 | 189 | paul day | missed playoffs | 10815
row 3 : 2008 | western | 4-12 | 5th | 3-5 | 1-7 | 141 | 197 | paul day (0-5) bob ham | missed playoffs | 8820
row 4 : 2009 | western | 5-11 | 6th | 4-4 | 1-7 | 159 | 200 | bob hamley | missed playoffs | 8347
row 5 : 2010 | western | 10-6 | 3rd | 5-3 | 5-3 | 186 | 201 | derek keenan | lost in western final | 7558
row 6 : 2011 | western | 5-11 | 5th | 4-4 | 1-7 | 175 | 204 | derek keenan | missed playoffs | 7151
row 7 : 2012 | western | 6-10 | 4th | 4-4 | 2-6 | 167 | 175 | derek keenan | lost in final | 7050
row 8 : 2013 | western | 9-7 | 3rd | 2-6 | 7-1 | 203 | 170 | derek keenan | lost in western semi-final | 6714
row 9 : total | 8 seasons | 46-82 | None | 26-38 | 20-44 | 1341 | 1538 | None | None | 8353
row 10 : playoff totals | None | 3-3 | None | 0-0 | 3-3 | 73 | 54 | None | None | None ] Execute this SQL based on the above table: select w-l where road = '7-1' | 9-7 |
[ header: ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now
row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965
row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,650 grt | wwii troopship 1940-1945
row 4 : media | 1947 | 1947-1961 | cargo liner | 13,350 grt | sold to cogedar line 1961, scrapped
row 5 : parthia | 1947 | 1947-1961 | cargo liner | 13,350 grt | sold to p&o 1961, re
row 6 : caronia | 1949 | 1949-1968 | cruise | 34,200 grt | sold 1968, wrecked 1974
row 7 : britannic | 1929 | 1950-1960 | intermediate | 26,943 grt | built for white star line, scrapped 1960
row 8 : georgic | 1932 | 1950-1956 | intermediate | 27,759 grt | built for white star line, scrapped 1956
row 9 : saxonia carmania | 1954 | 1954-1962 1962-1973 | intermediate cruise | 21,637 grt 21,370 grt | sold to the black sea shipping company, sovie
row 10 : ivernia franconia | 1955 | 1955-1963 1963-1973 | intermediate cruise | 21,800 grt | sold to the far eastern shipping company, sovie
row 11 : carinthia | 1956 | 1956-1968 | intermediate | 21,800 grt | sold to sitmar line 1968, scrapped 2005
row 12 : sylvania | 1957 | 1957-1968 | intermediate | 21,800 grt | sold to sitmar line 1968, scrapped 2004
row 13 : alaunia | 1960 | 1960-1969 | cargo liner | 7,004 grt | sold to brocklebank line in 1969
row 14 : queen elizabeth 2 | 1969 | 1969-2008 | express | 70,300 grt | sold 2008, laid up in port rashi
row 15 : atlantic causeway | 1969 | 1970-1986 | container ship | 14,950 grt | scrapped in 1986
row 16 : atlantic conveyor | 1970 | 1970-1982 | container ship | 14,946 grt | sunk in falklands war 1982 ] Execute this SQL based on the above table: select max ( built ) | 1970 |
[ header: tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7
row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6
row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6
row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6
row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1
row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5
row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8
row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5
row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2 ] Execute this SQL based on the above table: select tournament where tournament in ( '2007 eurobasket' , '2009 eurobasket' ) order by assists per game limit 1 | 2007 eurobasket |
[ header: name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950
row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947
row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975
row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961
row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954
row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976
row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997
row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001
row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964
row 10 : whoopi goldberg | 2002 (17 years) | 2002 | 1985 | 1990 | 2002
row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994
row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004 ] Execute this SQL based on the above table: select name where name = 'mel brooks' order by grammy desc limit 1 | mel brooks |
[ header: year | single | charts fr | charts bel wa | charts swi | certification | album row 1 : 1997 | "sur la route" | 14 | None | None | | la derniere annee
row 2 : 2000 | "j'en reve encore" | 7 | 4 | None | | marcher dans le sable
row 3 : 2001 | "une seule vie (marcher dans le | 30 | None | None | | marcher dans le sable
row 4 : 2001 | "tomber" | 35 | None | None | | marcher dans le sable
row 5 : 2004 | "elle s'ennuie" | 35 | None | 73 | | None
row 6 : 2004 | "elle danse seule" | 22 | None | 46 | | un homme sans racines
row 7 : 2011 | "l'etranger" | 59 | None | None | | sur ma route
row 8 : 2013 | "je me souviens de tout" | 130 | None | None | | da palmas ] Execute this SQL based on the above table: select single where year not null and charts swi is null | "sur la route", "j'en reve encore", "une seule vie (marcher dans le sable)", "tomber", "l'etranger", "je me souviens de tout" |
[ header: season | pitcher | decision | final score | opponent | location row 1 : 1963 | turk farrell | l | 2-9 | san francisco giants | colt stadium
row 2 : 1964 | ken johnson | w | 6-3 | cincinnati reds | crosley field
row 3 : 1965 | bob bruce | l | 0-2 | philadelphia phillies | astrodome
row 4 : 1966 | robin roberts | l | 2-3 | los angeles dodgers | dodger stadium
row 5 : 1968 | larry dierker | w | 5-4 | pittsburgh pirates | astrodome
row 6 : 1970 | larry dierker (2) | w | 8-5 | san francisco giants | candlestick park
row 7 : 1971 | larry dierker (3) | w | 5-2 | los angeles dodgers | astrodome
row 8 : 1973 | dave roberts | nd (w) | 2-1 | atlanta braves | atlanta-fulton county stadium
row 9 : 1976 | j.r. richard | l | 5-11 | cincinnati reds | riverfront stadium
row 10 : 1980 | j.r. richard (5) | w | 3-2 | los angeles dodgers | astrodome
row 11 : 1981 | joe niekro | l | 0-2 | los angeles dodgers | dodger stadium
row 12 : 1982 | nolan ryan | l | 3-14 | st. louis cardinals | astrodome
row 13 : 1983 | joe niekro (2) | nd (l) | 7-16 | los angeles dodgers | astrodome
row 14 : 1984 | joe niekro (3) | l | 2-4 | montreal expos | astrodome
row 15 : 1985 | nolan ryan (2) | w | 2-1 | los angeles dodgers | astrodome
row 16 : 1987 | mike scott | w | 4-3 | los angeles dodgers | astrodome
row 17 : 1988 | mike scott (2) | w | 6-3 | san diego padres | astrodome
row 18 : 1989 | mike scott (3) | w | 10-3 | atlanta braves | astrodome
row 19 : 1992 | pete harnisch | l | 0-2 | atlanta braves | astrodome
row 20 : 1994 | pete harnisch (2) | nd (w) | 6-5 | montreal expos | astrodome
row 21 : 1998 | shane reynolds | nd (l) | 4-9 | san francisco giants | astrodome
row 22 : 1999 | shane reynolds | w | 4-2 | chicago cubs | astrodome
row 23 : 2000 | shane reynolds | w | 5-2 | pittsburgh pirates | three rivers stadium
row 24 : 2001 | scott elarton | w | 11-3 | milwaukee brewers | enron field
row 25 : 2002 | wade miller | l | 3-9 | milwaukee brewers | astros field
row 26 : 2003 | roy oswalt | w | 10-4 | colorado rockies | minute maid park
row 27 : 2004 | roy oswalt (2) | nd (l) | 4-5 | san francisco giants | minute maid park
row 28 : 2005 | roy oswalt (3) | l | 3-7 | st. louis cardinals | minute maid park
row 29 : 2006 | roy oswalt (4) | w | 1-0 | florida marlins | minute maid park ] Execute this SQL based on the above table: select location where location != 'astrodome' and decision = ( select decision where location = 'astrodome' ) | colt stadium, dodger stadium, riverfront stadium, dodger stadium, astros field, minute maid park |
[ header: year | single | charts fr | charts bel wa | charts swi | certification | album row 1 : 1997 | "sur la route" | 14 | None | None | | la derniere annee
row 2 : 2000 | "j'en reve encore" | 7 | 4 | None | | marcher dans le sable
row 3 : 2001 | "une seule vie (marcher dans le | 30 | None | None | | marcher dans le sable
row 4 : 2001 | "tomber" | 35 | None | None | | marcher dans le sable
row 5 : 2004 | "elle s'ennuie" | 35 | None | 73 | | None
row 6 : 2004 | "elle danse seule" | 22 | None | 46 | | un homme sans racines
row 7 : 2011 | "l'etranger" | 59 | None | None | | sur ma route
row 8 : 2013 | "je me souviens de tout" | 130 | None | None | | da palmas ] Execute this SQL based on the above table: select count ( single ) | 8 |
[ header: no. | date | tournament | winning score | margin of victory | runner(s)-up row 1 : 1 | jul 18, 1982 | miller high life qco | -12 (68-66-65-69 | 2 strokes | brad bryant, pat mc
row 2 : 2 | oct 23, 1983 | walt disney world golf classic | -19 (69-64-69-67 | 2 strokes | nick faldo, mark mc
row 3 : 3 | mar 15, 1987 | hertz bay hill classic | -20 (69-67-63-65 | 3 strokes | david frost
row 4 : 4 | apr 16, 1989 | mci heritage golf classic | -16 (65-67-67-69 | 5 strokes | kenny perry
row 5 : 5 | aug 13, 1989 | pga championship | -12 (74-66-69-67 | 1 stroke | andy bean, mike rei
row 6 : 6 | apr 15, 1990 | mci heritage golf classic | -8 (70-69-66-71 | playoff | steve jones, larry
row 7 : 7 | may 6, 1990 | gte byron nels | -8 (67-68-67=202 | 2 strokes | lanny wadkins
row 8 : 8 | jun 17, 1991 | u.s. open | -6 (67-70-73-72 | playoff | scott simpson
row 9 : 9 | apr 30, 1995 | shell houston open | -12 (73-65-70-68=276) | playoff | scott hoch
row 10 : 10 | feb 7, 1999 | at&t pebble beach national pro-am | -10 (69-64-73=206 | 1 stroke | frank lickliter ii
row 11 : 11 | jun 20, 1999 | u.s. open | -1 (68-69-72-70 | 1 stroke | phil mickelson ] Execute this SQL based on the above table: select runner(s)-up where runner(s)-up != 'scott simpson' and no. = 10 | frank lickliter ii |
[ header: bank | foundation | # of branches as of 30 september 2012 | total assets (million tl) as of 30 september 2012 row 1 : turkiye is bankası | 1924 | 1294 | 210535
row 2 : ziraat bankası | 1863 | 1510 | 207871
row 3 : garanti bank | 1946 | 947 | 154550
row 4 : akbank | 1948 | 963 | 150241
row 5 : yapı ve kred | 1944 | 949 | 160309
row 6 : halk bankası | 1938 | 807 | 116372
row 7 : vakıfbank | 1954 | 741 | 135578
row 8 : finansbank | 1987 | 530 | 49902
row 9 : turk ekonomi bankas | 1927 | 510 | 42505
row 10 : denizbank | 1997 | 624 | 40457
row 11 : hsbc bank | 1990 | 331 | 25797
row 12 : ing bank | 1984 | 320 | 23184
row 13 : turk eximbank | 1987 | 2 | 14724
row 14 : sekerbank | 1953 | 272 | 14656
row 15 : iller bankası | 1933 | 19 | 12309
row 16 : turkiye sına | 1950 | 4 | 9929
row 17 : alternatif bank | 1992 | 63 | 7904
row 18 : citibank | 1980 | 37 | 7884
row 19 : anadolubank | 1996 | 88 | 7218
row 20 : burgan bank | 1992 | 60 | 4275
row 21 : imkb takas ve | 1995 | 1 | 3587
row 22 : tekstilbank | 1986 | 44 | 3502
row 23 : deutsche bank | 1988 | 1 | 3426
row 24 : fibabanka | 1984 | 27 | 3120
row 25 : aktif yatırım | 1999 | 7 | 2997
row 26 : the royal bank of scotland | 1921 | 3 | 2750
row 27 : turkiye kalkın | 1975 | 1 | 2651
row 28 : turkland bank | 1991 | 27 | 2649
row 29 : arap turk bankası | 1977 | 7 | 2147
row 30 : merrill lynch | 1992 | 1 | 1898
row 31 : bankpozitif | 1999 | 1 | 1788
row 32 : societe generale | 1989 | 16 | 1457
row 33 : turkish bank | 1982 | 20 | 837
row 34 : jpmorgan chase | 1984 | 1 | 830
row 35 : birlesik fon banka | 1958 | 1 | 801
row 36 : bank mellat | 1982 | 3 | 729
row 37 : portigon | 1985 | 1 | 279
row 38 : nurol yatırım bank | 1999 | 2 | 227
row 39 : diler yatırım bank | 1998 | 1 | 108
row 40 : gsd yatırı | 1998 | 1 | 108
row 41 : habib bank limited | 1983 | 1 | 80
row 42 : credit agricole | 1990 | 1 | 72
row 43 : adabank | 1985 | 1 | 51
row 44 : taib yatır | 1987 | 1 | 18 ] Execute this SQL based on the above table: select bank where id = 9 | turk ekonomi bankası |
[ header: year | single | us cashbox | us hot 100 | uk singles row 1 : 1969 | "rock & roll holiday" | None | None | None
row 2 : 1970 | "be-bop confidential" | None | None | None
row 3 : 1971 | "roadrunner" | None | None | None
row 4 : 1971 | "that's fine" | None | None | None
row 5 : 1972 | "the red back spider" | 85 | 96 | None
row 6 : 1973 | "let your yeah be yeah" | 60 | 57 | 52
row 7 : 1973 | "smokin' in the boys room | 2 | 3 | 27
row 8 : 1974 | "i'm the leader of the gang | 26 | 48 | None
row 9 : 1974 | "kings of the party" | 31 | 31 | None
row 10 : 1974 | "i got it bad for you" | None | None | None
row 11 : 1977 | "lady (put the light on me | 44 | 46 | None
row 12 : 1977 | "the martian boogie" | 45 | 59 | None
row 13 : 1979 | "love stealer" | None | None | None ] Execute this SQL based on the above table: select single order by us hot 100 desc limit 1 | "the red back spider" |
[ header: party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28
row 2 : labour | 19 | 13 | 6 | 10 | 23
row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2
row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1
row 5 : british national party | 0 | 0 | 0 | 0 | 0
row 6 : green | 0 | 0 | 0 | 0 | 0
row 7 : independent | 0 | 0 | 0 | 0 | 0
row 8 : respect | 0 | 0 | 0 | 0 | 0
row 9 : total | 54 | 36 | 18 | 18 | 54 ] Execute this SQL based on the above table: select party where party = 'socialist alternative' order by id desc limit 1 | socialist alternative |
[ header: station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : calama, chile | solar | 22o28's | 68o56'w | 2250 | 1918 | 1920 | 22°28′s 68°56′
row 2 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711 | 1920 | None | 22°40′s 68°56′
row 3 : mount harquahala, arizon | solar | 33o48'n | 113o20'w | 1721 | 1920 | 1925 | 33°48′n 113°20′
row 4 : table mountain, california | solar | 34o22'n | 117o41'w | 2286 | 1925 | 1962 | 34°22′n 117°41′
row 5 : mount brukkaros, namibi | solar | 25o52's | 17o48'e | 1586 | 1926 | 1931 | 25°52′s 17°48′e
row 6 : mount saint catherine, egy | solar | 28o31'n | 33o56'e | 2591 | 1934 | 1937 | 28°31′n 33°56′e
row 7 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440 | 1938 | 1946 | 32°40′n 108°33′
row 8 : organ pass, new mexico | space track | 32o25'n | 253o27'e | None | None | None | 32°25′n 106°33′
row 9 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | None | None | None | 25°58′s 28°15′e
row 10 : woomera, australia | space track | 31o06's | 136o46'e | None | None | None | 31°06′s 136°46′
row 11 : curacao, netherlands west in | space track | 12o05'n | 291o10'e | None | None | None | 12°05′n 68°50′
row 12 : jupiter, florida | space track | 27o01'n | 279o53'e | None | None | None | 27°01′n 80°07′w
row 13 : villa dolores, argentina | space track | 31o57'n | 294o54'e | None | None | None | 31°57′n 65°06′e
row 14 : mitaka, japan | space track | None | None | None | None | None | None
row 15 : nani tal, india | space track | None | None | None | None | None | None ] Execute this SQL based on the above table: select coordinates order by el. (m) desc limit 1 | 22°40′s 68°56′w / 22.667°s 68.933°w |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11
row 2 : 2 | tunisia | 4 | 3 | 5 | 12
row 3 : 3 | egypt | 3 | 3 | 3 | 9
row 4 : 4 | cameroon | 1 | 1 | 5 | 7
row 5 : 5 | morocco | 0 | 1 | 5 | 5
row 6 : 6 | south africa | 0 | 1 | 1 | 2
row 7 : 7 | angola | 0 | 1 | 0 | 1
row 8 : 7 | burkina faso | 0 | 1 | 0 | 1
row 9 : 7 | gabon | 0 | 1 | 0 | 1
row 10 : 7 | madagascar | 0 | 1 | 0 | 1
row 11 : 11 | nigeria | 0 | 0 | 3 | 3
row 12 : 12 | senegal | 0 | 0 | 2 | 2
row 13 : 13 | congo republic | 0 | 0 | 1 | 1
row 14 : 13 | ivory coast | 0 | 0 | 1 | 1
row 15 : 13 | guinea | 0 | 0 | 1 | 1
row 16 : 13 | niger | 0 | 0 | 1 | 1 ] Execute this SQL based on the above table: select nation where nation = 'burkina faso' and rank = 7 | burkina faso |
[ header: place | position | number | name | league one | fa cup | league cup | football league trophy | total row 1 : 1 | mf | 4 | luke summerfield | 5 | 0 | 0 | 0 | 5
row 2 : 2 | mf | 17 | paul parry | 3 | 0 | 1 | 0 | 4
row 3 : 3 | fw | 24 | tom eaves | 3 | 0 | 0 | 0 | 3
row 4 : 4 | mf | 11 | jon taylor | 1 | 0 | 0 | 1 | 2
row 5 : 4 | df | 5 | darren jones | 2 | 0 | 0 | 0 | 2
row 6 : 4 | mf | 23 | adam reach | 2 | 0 | 0 | 0 | 2
row 7 : 4 | mf | 22 | ryan woods | 2 | 0 | 0 | 0 | 2
row 8 : 4 | fw | 26 | curtis main | 2 | 0 | 0 | 0 | 2
row 9 : 5 | mf | 2 | jermaine grandison | 1 | 0 | 0 | 0 | 1
row 10 : 5 | mf | 8 | dave mcallister | 1 | 0 | 0 | 0 | 1
row 11 : 5 | fw | 15 | aaron wildig | 1 | 0 | 0 | 0 | 1
row 12 : 5 | fw | 29 | asa hall | 1 | 0 | 0 | 0 | 1
row 13 : 5 | fw | 7 | gozie ugwu | 1 | 0 | 0 | 0 | 1
row 14 : 5 | df | 18 | connor goldson | 1 | 0 | 0 | 0 | 1
row 15 : 5 | mf | 10 | nicky wroe | 1 | 0 | 0 | 0 | 1
row 16 : 5 | fw | 9 | tom bradshaw | 1 | 0 | 0 | 0 | 1 ] Execute this SQL based on the above table: select number where position = 'mf' | 4, 17, 11, 23, 22, 2, 8, 10 |
[ header: university | winner | runner-up | years won | years runner-up row 1 : waseda university | 15 | 15 | 1965,1966,1968,1970 | 1964,1967,1969,1972,
row 2 : meiji university | 12 | 9 | 1972,1975,1977,1979 | 1973,1974,1976,1978,
row 3 : kanto gakuin university | 6 | 4 | 1997,1998,2000,2001,2003, | 1999,2002,2004,2005
row 4 : doshisha university | 4 | 2 | 1980,1982,1983,1984 | 1979,1987
row 5 : hosei university | 3 | 5 | 1964,1967,1992 | 1965,1966,1971,1993,2000
row 6 : keio university | 3 | 3 | 1968,1985,1999 | 1977,1984,2007
row 7 : daito bunka university | 3 | 1 | 1986,1988,1994 | 1991
row 8 : nippon sport science university | 2 | 3 | 1969,1978 | 1970,1983,1989
row 9 : teikyo university | 3 | 1 | 2009,2010,2011,2012 | 2008
row 10 : tokai university | 0 | 1 | None | 2009
row 11 : tenri university | 0 | 1 | None | 2011
row 12 : tsukuba university | 0 | 1 | None | 2012 ] Execute this SQL based on the above table: select count ( university ) where university = 'daito bunka university' | 1 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288
row 2 : 2 | tahiti | 60 | 42 | 42 | 144
row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121
row 4 : 4 | fiji | 33 | 44 | 53 | 130
row 5 : 5 | samoa | 22 | 17 | 34 | 73
row 6 : 6 | nauru | 8 | 10 | 10 | 28
row 7 : 7 | tonga | 4 | 6 | 10 | 20
row 8 : 8 | micronesia | 3 | 0 | 0 | 3
row 9 : 9 | cook islands | 2 | 6 | 4 | 12
row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12
row 11 : 11 | vanuatu | 1 | 8 | 8 | 17
row 12 : 12 | kiribati | 1 | 6 | 6 | 13
row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1
row 14 : 14 | guam | 0 | 6 | 5 | 11
row 15 : 15 | solomon islands | 0 | 5 | 17 | 22
row 16 : 16 | niue | 0 | 3 | 3 | 6
row 17 : 17 | tuvalu | 0 | 2 | 1 | 3
row 18 : 18 | palau | 0 | 1 | 3 | 4
row 19 : 19 | american samoa | 0 | 0 | 0 | 0
row 20 : 19 | marshall islands | 0 | 0 | 0 | 0
row 21 : 19 | norfolk island | 0 | 0 | 0 | 0
row 22 : 19 | tokelau | 0 | 0 | 0 | 0
row 23 : total | total | 305 | 291 | 312 | 908 ] Execute this SQL based on the above table: select count ( nation ) where total < 3 | 17 |
[ header: year | japanese title | english title | role | network row 1 : 1997 | あくり | agri | None | nhk
row 2 : 1998 | ラフアントヒース | love & peace | yohei horiguchi | ntv
row 3 : 2001 | ネハーラント | neverland | osamu seto | tbs
row 4 : 2002 | hito ni yasashi | be nice to people | yusuke | fuji tv
row 5 : 2002 | engimono (演技者) | acting by | hachida | fuji tv
row 6 : 2004 | kino wa tomo kyo | None | None | None
row 7 : 2005 | dekabeya (六本木おかしな捜査班) | funny roppongi squad | yukio ochi | tv asahi
row 8 : 2005 | asuka e, soshite | to asuka and to the unseen | sawamura kazuya | fuji tv
row 9 : 2005 | nemureru mori no s | sleeping corpse | eiji/yamazaki | fuji tv
row 10 : 2006 | アキハハラ@deep | akihabara@deep | box | tbs
row 11 : 2007 | hana yori dango returns | boys over flowers 2 | junpei oribe | tbs
row 12 : 2007 | hanazakari no kimitachi | ikemen paradise | shuichi nakatsu | fuji tv
row 13 : 2008 | hachimitsu to clover (ハチミツとクローハー) | honey & clover | yuta takemoto | fuji tv
row 14 : 2008 | hanazakari no kimitachi | ikemen paradise | shuichi nakatsu | fuji tv
row 15 : 2008 | mao | devil | naoto serizawa | tbs
row 16 : 2009 | inochi naki mono no k | voice | ryosuke ishimatsu | fuji tv
row 17 : 2009 | majo saiban (魔女裁判) | the witch trial | toru yoshioka | fuji tv
row 18 : 2009 | yonimo \"kim\ | the law of recycling suicides | r 8427 | None
row 19 : 2010 | unobore deka (うぬほれ刑事) | conceited detective | sadame honjo | tbs
row 20 : 2010 | kyuukei no kou | spherical wilderness | shoichi soeda | fuji tv
row 21 : 2012 | osozaki no himawari | late blooming sunflower -my life renewed- | jotaro kodaira | fuji tv
row 22 : 2014 | gunshi kanbei | None | dom justo takayama | nhk ] Execute this SQL based on the above table: select japanese title where year = 2008 | hachimitsu to clover (ハチミツとクローハー), hanazakari no kimitachi e, mao |
[ header: years | building | city | height (ctbuh) | floors row 1 : 1975-present | first canadian place | toronto | 298.1 m (978 ft) | 72
row 2 : 1972-1975 | commerce court west | toronto | 239.0 m (784 ft | 57
row 3 : 1967-1972 | toronto-dominion centre | toronto | 222.8 m (731 ft) | 56
row 4 : 1964-1967 | tour de la bourse | montreal | 190.0 m (623 ft) | 47
row 5 : 1962-1964 | place ville-marie | montreal | 188.0 m (617 ft) | 44
row 6 : 1962 | tour cibc | montreal | 184.0 m (604 ft) | 45
row 7 : 1931-1962 | commerce court north | toronto | 145.0 m (476 ft) | 34 ] Execute this SQL based on the above table: select floors where building = 'tour de la bourse' | 47.0 |
[ header: # | date | venue | opponent | score | result | competition row 1 : 1 | 10 october 2004 | estadio cuscatlan, | el salvador | 2-0 | 2-0 | 2006 fifa world cup qualification
row 2 : 2 | 13 october 2004 | rfk stadium, washington, | panama | 3-0 | 6-0 | 2006 fifa world cup qualification
row 3 : 3 | 13 october 2004 | rfk stadium, washington, | panama | 4-0 | 6-0 | 2006 fifa world cup qualification
row 4 : 4 | 13 october 2004 | rfk stadium, washington, | panama | 5-0 | 6-0 | 2006 fifa world cup qualification
row 5 : 5 | 17 november 2004 | columbus crew stadium, columbus, | jamaica | 1-0 | 1-1 | 2006 fifa world cup qualification
row 6 : 6 | 9 february 2005 | queen's park oval, port of spain | trinidad and tobago | 1-0 | 2-1 | 2006 fifa world cup qualification
row 7 : 7 | 19 march 2005 | university stadium, albuquerque, united | honduras | 1-0 | 1-0 | friendly
row 8 : 8 | 30 march 2005 | legion field, birmingham, united | guatemala | 1-0 | 2-0 | 2006 fifa world cup qualification
row 9 : 9 | 19 february 2006 | pizza hut park, frisco, united states | guatemala | 3-0 | 4-0 | friendly
row 10 : 10 | 9 june 2007 | the home depot center, carson, united states | trinidad and tobago | 2-0 | 2-0 | 2007 concacaf gold cup
row 11 : 11 | 28 june 2007 | estadio jose pachencho | argentina | 1-0 | 1-4 | 2007 copa america
row 12 : 12 | 15 june 2008 | the home depot center, carson, united states | barbados | 6-0 | 8-0 | 2010 fifa world cup qualification
row 13 : 13 | 12 october 2012 | sir vivian richards stadium | antigua and barbuda | 1-0 | 2-1 | 2014 fifa world cup qualification
row 14 : 14 | 12 october 2012 | sir vivian richards stadium | antigua and barbuda | 2-1 | 2-1 | 2014 fifa world cup qualification
row 15 : 15 | 12 june 2013 | centurylink field, seattle, united states | panama | 2-0 | 2-0 | 2014 fifa world cup qualification
row 16 : 16 | 21 july 2013 | m&t bank stadium, balti | el salvador | 3-1 | 5-1 | 2013 concacaf gold cup
row 17 : 17 | 24 july 2013 | cowboys stadium, arlington, united | honduras | 1-0 | 3-1 | 2013 concacaf gold cup
row 18 : 18 | 14 august 2013 | asim ferhatovic hase stadium, | bosnia and herzegovin | 1-2 | 4-3 | friendly
row 19 : 19 | 10 september 2013 | columbus crew stadium, columbus, | mexico | 1-0 | 2-0 | 2014 fifa world cup qualification ] Execute this SQL based on the above table: select count ( # ) where score < 1387 | 19 |
[ header: round | opponent | result | bro. | opp. | date | venue | crowd | position row 1 : 1 | auckland warriors | win | 14 | 2 | 1 mar | anz stadium | 42361 | 2/10
row 2 : 2 | adelaide rams | win | 28 | 12 | 9 mar | anz stadium | 16279 | 1/10
row 3 : 3 | perth reds | win | 26 | 16 | 16 mar | waca ground | 11109 | 2/10
row 4 : 4 | canberra raiders | win | 24 | 8 | 24 mar | anz stadium | 26103 | 2/10
row 5 : 5 | cronulla sharks | win | 14 | 12 | 31 mar | anz stadium | 17294 | 1/10
row 6 : 6 | north queensland cowboys | win | 42 | 16 | 5 apr | stockland stadium | 30122 | 1/10
row 7 : 7 | adelaide rams | win | 20 | 10 | 13 apr | adelaide oval | 17633 | 1/10
row 8 : 8 | penrith panthers | loss | 26 | 27 | 21 apr | penrith football stadium | 12648 | 1/10
row 9 : 9 | canterbury bulldogs | win | 34 | 16 | 28 apr | anz stadium | 17921 | 1/10
row 10 : 10 | auckland warriors | win | 34 | 18 | 4 may | mt smart stadium | 16471 | 1/10
row 11 : 11 | north queensland cowboys | draw | 20 | 20 | 25 may | anz stadium | 14167 | 1/10
row 12 : 12 | hunter mariners | loss | 6 | 24 | 30 may | topper stadium | 7124 | 1/10
row 13 : 13 | cronulla sharks | loss | 4 | 32 | 30 jun | endeavour field | 12240 | 1/10
row 14 : 14 | perth reds | win | 50 | 14 | 6 jul | anz stadium | 11806 | 1/10
row 15 : 15 | canberra raiders | win | 19 | 4 | 14 jul | bruce stadium | 13067 | 1/10
row 16 : 16 | penrith panthers | win | 54 | 12 | 10 aug | anz stadium | 13921 | 1/10
row 17 : 17 | hunter mariners | win | 34 | 16 | 18 aug | anz stadium | 13830 | 1/10
row 18 : 18 | canterbury bulldogs | win | 32 | 24 | 25 aug | belmore oval | 9781 | 1/10
row 19 : semi final | cronulla sharks | win | 34 | 2 | 6 sep | stockland stadium | 26256 | None
row 20 : grand final | cronulla sharks | win | 26 | 8 | 20 sep | anz stadium | 58912 | None ] Execute this SQL based on the above table: select bro. where position = '1/10' and venue = 'anz stadium' | 28.0, 14.0, 34.0, 20.0, 50.0, 54.0, 34.0 |
[ header: tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7
row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6
row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6
row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6
row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1
row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5
row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8
row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5
row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2 ] Execute this SQL based on the above table: select min ( games played ) | 4.0 |
[ header: year | publisher | country | accolade | rank row 1 : 1981 | dave marsh & james | united states | "singles of the year 1978" | 1
row 2 : 1989 | dave marsh | united states | "the 1001 greatest singles ever made" | 716
row 3 : 1989 | rolling stone | united states | "the 100 best singles of the last 25 | 50
row 4 : 1995 | rock and roll hall of fame | united states | "500 songs that shaped rock and roll" | None
row 5 : 2000 | rolling stone | united states | "100 greatest pop songs" | 93
row 6 : 2000 | vh1 | united states | "100 greatest dance songs" | 10
row 7 : 2001 | riaa | united states | "songs of the century" (365 | 94
row 8 : 2003 | popmatters | united states | "the 100 best songs since johnny | 65
row 9 : 2003 | q | united kingdom | "100 songs that changed the world" | 17
row 10 : 2003 | q | united kingdom | "the 1001 best songs ever" | 280
row 11 : 2004 | rolling stone | united states | "the 500 greatest songs of all time" | 189
row 12 : 2009 | vh1 | united states | "100 greatest rock songs" | 54
row 13 : 2010 | rolling stone | united states | "the 500 greatest songs of all time" | 191
row 14 : 2011 | robert dimery | united kingdom | "1001 songs you must hear before you die | None
row 15 : 2011 | time | united states | "all-time 100 songs" | None ] Execute this SQL based on the above table: select country order by rank limit 1 | united states |
[ header: round | selection | player | position | college row 1 : 1 | 22 | desmond trufant | cb | washington
row 2 : 2 | 60 | robert alford | cb | southeastern louisiana
row 3 : 4 | 127 | malliciah goodman | de | clemson
row 4 : 4 | 133 | levine toilolo | te | stanford
row 5 : 5 | 153 | stansly maponga | de | tcu
row 6 : 7 | 243 | kemal ishmael | s | central florida
row 7 : 7 | 244 | zeke motta | s | notre dame
row 8 : 7 | 249 | sean renfree | qb | duke ] Execute this SQL based on the above table: select college where id = ( select id where college = 'central florida' ) + 1 | notre dame |
[ header: rank | team | athletes | run 1 | run 2 | run 3 | run 4 | final row 1 : silver | italy (ita) italy | eugenio monti, | 1:17.69 | 1:17.97 | 1:18.13 | 1:18.31 | 5:12.10
row 2 : bronze | united states (usa) usa i | arthur tyler, william | 1:17.75 | 1:17.87 | 1:18.25 | 1:18.52 | 5:12.39
row 3 : 4 | switzerland (sui) | max angst, aby gar | 1:17.41 | 1:17.85 | 1:18.68 | 1:20.33 | 5:14.27
row 4 : 7 | austria (aut) austria i | kurt loserth, wil | 1:19.37 | 1:19.12 | 1:20.08 | 1:19.72 | 5:18.29
row 5 : 8 | germany (ger) germany ii | franz schelle, jako | 1:19.03 | 1:18.84 | 1:19.31 | 1:21.35 | 5:18.50
row 6 : 9 | spain (esp) spain | alfonso de portago, | 1:18.87 | 1:19.27 | 1:21.37 | 1:19.08 | 5:19.49
row 7 : 11 | norway (nor) norway i | arne røgden, ar | 1:20.96 | 1:20.08 | 1:20.45 | 1:20.01 | 5:21.50
row 8 : 13 | sweden (swe) s | kjell holmstrom, | 1:20.58 | 1:20.32 | 1:21.15 | 1:21.13 | 5:23.18
row 9 : 16 | sweden (swe) s | olle axelsson, | 1:18.95 | 1:19.98 | 1:22.75 | 1:21.86 | 5:23.54
row 10 : 18 | france (fra) france | andre robin, pierre bouvier | 1:20.00 | 1:21.25 | 1:20.95 | 1:21.63 | 5:23.83
row 11 : 21 | poland (pol) poland | aleksy konieczny | None | None | None | None | 5:28.40 ] Execute this SQL based on the above table: select athletes where athletes = 'kurt loserth, wilfried thurner, karl schwarzbock, & franz dominik' | kurt loserth, wilfried thurner, karl schwarzbock, & franz dominik |
[ 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 # beds where # beds in ( 448 , 524 ) and type of hospital = 'general acute care' | 524, 448 |
[ header: date | venue | opponent | score | result | competition | # row 1 : 15 nov 2006 | lansdowne road, dublin | san marino | 2-0 | 5-0 | euro 2008 qualifying | 1
row 2 : 28 mar 2007 | croke park, dublin | slovakia | 1-0 | 1-0 | euro 2008 qualifying | 2
row 3 : 23 may 2007 | giants stadium, new york | ecuador | 1-1 | 1-1 | friendly | 3
row 4 : 9 sep 2007 | tehelne pole, bra | slovakia | 1-2 | 2-2 | euro 2008 qualifying | 4
row 5 : 17 nov 2007 | millennium stadium, cardiff | wales | 1-2 | 2-2 | euro 2008 qualifying | 5
row 6 : 6 sep 2008 | stadion am bruchweg, main | georgia | 0-1 | 1-2 | 2010 fifa world cup qualifying | 6
row 7 : 5 sep 2009 | neo gsp stadium, | cyprus | 0-1 | 1-2 | 2010 fifa world cup qualifying | 7
row 8 : 25 may 2010 | rds arena, dublin | paraguay | 1-0 | 2-1 | friendly | 8
row 9 : 7 sep 2010 | aviva stadium, dublin | andorra | 2-0 | 3-1 | euro 2012 qualifying | 9
row 10 : 7 oct 2011 | estadi comunal, andorr | andorra | 1-0 | 2-0 | euro 2012 qualifying | 10
row 11 : 7 sep 2012 | astana arena, astana | kazakhstan | 2-1 | 2-1 | 2014 fifa world cup qualifying | 11
row 12 : 11 sep 2012 | craven cottage, london | oman | 3-0 | 4-1 | friendly | 12 ] Execute this SQL based on the above table: select score order by # desc limit 1 | 3-0 |
[ header: year | award | work/artist | result row 1 : 1999 | grammy award for best contemporary folk album | mermaid avenue | nominated
row 2 : 2005 | grammy award for best alternative music album | a ghost is born | won
row 3 : 2005 | grammy award for best recording package (a | a ghost is born | won
row 4 : 2008 | grammy award for best rock album | sky blue sky | nominated
row 5 : 2010 | grammy award for best americana album | wilco (the album) | nominated
row 6 : 2012 | grammy award for best rock album | the whole love | nominated ] Execute this SQL based on the above table: select abs ( ( select year where result = 'nominated' ) - ( select year where result = 'nominated' ) ) | 0 |
[ header: episode | name | synopsis | sent home | highest seller row 1 : 1 | vegas meltdown | nine aspiring restaurateurs arrive in las | ammerah, kimmy | patrick
row 2 : 2 | tantrum in temecula | the restaurant express bus arrives in temecula, | johnathan | eric
row 3 : 3 | express: impossible | the restaurant express bus arrives in los angeles | bianca | none
row 4 : 4 | battle by the beach | the restaurant express bus arrives at the iconic balb | patrick | eric
row 5 : 5 | going, going, gone! | the remaining four contestants are given their biggest budget | eric | adam
row 6 : 6 | the truck stops here! | the three remaining chefs are each given a food | none | adam
row 7 : 7 | vegas or bust | jan and seonkyoung battle to | jan, adam | seonkyoung ] Execute this SQL based on the above table: select name , name order by episode desc limit 1 | vegas or bust, vegas or bust |
[ header: name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucha | none | None | eliminated week 1 | 142 kg | 0
row 2 : tatiana musat 25, buch | none | None | eliminated week 1 | 150 kg | 0
row 3 : gige state 47, bucharest | none | None | eliminated week 1 | 200 kg | 0
row 4 : alex ionescu returned week 5 | none | None | eliminated week 1 | 196 kg | 0
row 5 : catalin chiriac 23, | blue team | None | 1st voted out week 1 | 146, 4 kg | 6
row 6 : dana mocanu 34, plo | red team | None | 2nd voted out week 2 | 111, 5 kg | 6
row 7 : daniela gheorghe | red team | None | 3rd voted out week 3 | 112, 8 kg | 5
row 8 : alexandra patrascu 37, | red team | None | eliminated week 4 | 118, 4 kg | 0
row 9 : mihai florescu 35, bucha | red team | None | 4th voted out week 4 | 175, 8 kg | 0
row 10 : alexandru briscu 26, | blue team | gray team | 5th voted out week 5 | 158, 1 kg | 0
row 11 : daniel sulugiu | blue team | yellow team | 5th voted out week 6 | 158, 1 kg | 0
row 12 : irina gur 39, | blue team | lightgreen team | 6th voted out week7 | 129,4 kg | 1
row 13 : dragos holeac 30, bucha | blue team | lightgreen team | 6th voted out week7 | 129,4 kg | 1 ] Execute this SQL based on the above table: select ( select count ( name ) where total votes = 0 ) - ( select count ( name ) where total votes = 0 ) | 0 |
[ header: city 2010 census | chinese | built-up area | urban area | level | administrative area | province-level division | remarks row 1 : suzhou | 苏州 | shanghai | 5349090 | prefecture-level city | 10465994 | jiangsu | None
row 2 : yangzhou | 扬州 | 2399079 | 2399079 | prefecture-level city | 4459760 | jiangsu | None
row 3 : huizhou | 惠州 | guangzhou | 2344507 | prefecture-level city | 4597002 | guangdong | 2 urban districts part of guangzhou-
row 4 : baotou | 包头 | 2034996 | 2070801 | prefecture-level city | 2650364 | inner mongolia | shiguai urban district not yet urban
row 5 : jilin city | 吉林市 | 1975803 | 1975803 | prefecture-level city | 4414681 | jilin | None
row 6 : cixi | 慈溪 | 1462383 | 1462383 | county-level city | ningbo | zhejiang | None
row 7 : datong | 大同 | 1447550 | 1570035 | prefecture-level city | 3318057 | shanxi | None
row 8 : panjin | 盘锦 | 1392493 | 666205 | prefecture-level city | 1392493 | liaoning | incl. 2 urban districts plus d
row 9 : fushun | 抚顺 | shenyang | 1356987 | prefecture-level city | 2138090 | liaoning | None
row 10 : yingkou | 营口 | 1351519 | 738128 | prefecture-level city | 2428534 | liaoning | incl. dashiqia
row 11 : xining | 西宁 | 1198304 | 1198304 | prefecture-level city provincial capital | 2208708 | qinghai | None
row 12 : tianshui | 天水 | 1197174 | 1197174 | prefecture-level city | 3262548 | gansu | None
row 13 : taixing | 泰兴市 | 1192213 | 1192213 | county-level city | taizhou | jiangsu | None
row 14 : qujing | 曲靖 | 1171805 | 740925 | prefecture-level city | 5855055 | yunnan | incl. zhanyi county
row 15 : jining | 济宁 | 1115300 | 1115300 | prefecture-level city | 8081900 | shandong | None
row 16 : jinhua | 金华 | 1077300 | 1077300 | prefecture-level city | 5361600 | zhejiang | None
row 17 : pingdingshan | 平顶山 | 1033975 | 1033975 | prefecture-level city | 4904367 | henan | None
row 18 : qiqihar | 齐齐哈尔 | 979517 | 1481637 | prefecture-level city | 5611000 | heilongjiang | incl. longsha, j
row 19 : bengbu | 蚌埠 | 972784 | 972784 | prefecture-level city | 3164467 | anhui | None
row 20 : danyang | 丹阳市 | 960418 | 960418 | county-level city | zhenjiang | jiangsu | None
row 21 : wuchuan | 吴川 | 947499 | 947499 | county-level city | zhanjiang | guangdong | None ] Execute this SQL based on the above table: select city 2010 census where city 2010 census in ( 'baotou' , 'jining' ) order by administrative area desc limit 1 | jining |
[ header: year | title | role | notes row 1 : 1978 | the big fix | pool man | None
row 2 : 1979 | french postcards | sayyid | None
row 3 : 1979 | last embrace | first commuter | None
row 4 : 1980 | night of the juggler | allesandro the cabbie | None
row 5 : 1981 | ragtime | tateh | None
row 6 : 1983 | yentl | avigdor | nominated-golden globe award for best
row 7 : 1983 | daniel | paul isaacson | None
row 8 : 1985 | maxie | nick | None
row 9 : 1986 | tenku no shiro rap | louis | None
row 10 : 1987 | the princess bride | inigo montoya | None
row 11 : 1988 | alien nation | detective samuel 'ge | nominated-saturn award for best
row 12 : 1988 | the house on carroll street | ray salwen | None
row 13 : 1990 | dick tracy | 88 keys | None
row 14 : 1991 | true colors | john palmeri | None
row 15 : 1991 | impromptu | alfred de musset | None
row 16 : 1991 | the doctor | dr. murray kaplan | None
row 17 : 1993 | the music of chance | jim nashe | None
row 18 : 1993 | life with mikey | irate man | None
row 19 : 1994 | squanto: a warrior's | brother daniel | None
row 20 : 1998 | lulu on the bridge | philip kleinman | None
row 21 : 1998 | men with guns | andrew | None
row 22 : 1999 | the adventures of elmo in | huxley | None
row 23 : 2001 | pinero | joseph papp | None
row 24 : 2002 | run ronnie run | himself | None
row 25 : 2003 | celebrity train layouts: mandy patin | himself | None
row 26 : 2005 | the choking man | rick | None
row 27 : 2006 | everyone's hero | stanley irving | None
row 28 : 2010 | 4.3.2.1 ... the countdown begins | jago l | None
row 29 : 2014 | wish i was here | saul bloom | None ] Execute this SQL based on the above table: select year where title = 'alien nation' | 1988 |
[ header: pos | no | driver | constructor | laps | time/retired | grid row 1 : 1 | 12 | clay regazzoni | ferrari | 60 | 1:01:25.34 | 3
row 2 : 2 | 4 | patrick depailler | tyrrell-ford | 60 | + 0:08.35 | 5
row 3 : 3 | 2 | jochen mass | mclaren-ford | 60 | + 0:15.44 | 4
row 4 : 4 | 5 | ronnie peterson | lotus-ford | 60 | + 0:40.14 | 10
row 5 : 5 | 18 | john watson | surtees-ford | 60 | + 0:45.55 | 6
row 6 : 6 | 8 | carlos pace | brabham-ford | 60 | + 0:45.90 | 7
row 7 : 7 | 16 | tom pryce | shadow-ford | 60 | + 0:46.66 | 8
row 8 : 8 | 24 | james hunt | hesketh-ford | 59 | + 1 lap | 11
row 9 : 9 | 31 | chris amon | ensign-ford | 59 | + 1 lap | 9
row 10 : 10 | 21 | jacques laffite | williams-ford | 59 | + 1 lap | 13
row 11 : 11 | 9 | vittorio brambilla | march-ford | 58 | + 2 laps | 12
row 12 : 12 | 22 | rolf stommelen | hill-ford | 58 | + 2 laps | 14
row 13 : 13 | 35 | tony trimmer | maki-ford | 54 | + 6 laps | 16
row 14 : nc | 20 | jo vonlanthen | williams-ford | 51 | + 9 laps | 15
row 15 : ret | 17 | jean-pierre jarier | shadow-ford | 33 | transmission | 1
row 16 : ret | 1 | emerson fittipaldi | mclaren-ford | 6 | clutch | 2 ] Execute this SQL based on the above table: select pos where pos != 2 and laps = ( select laps where pos = 2 ) | 1, 3, 4, 5, 6, 7 |
[ header: song | chinese | hito radio top 10 | 9+2 music top 15 | global asia top 15 | ufo radio top 15 | channel [v] top 20 | mtv taiwan top 20 | yes 93.3 top 20 row 1 : super star | None | 3 | None | >4 | 3 | 4 | None | 14
row 2 : far away | 遠方 | None | None | 3 | 2 | 5 | None | 7
row 3 : half-sugarism | 半糖主義 | 3 | None | None | 7 | None | 3 | None
row 4 : river shore park | 河濱公園 | 1 | 2 | None | None | None | None | None
row 5 : i.o.i.o | None | 2 | None | None | 5 | 3 | None | None
row 6 : heavy rain | 落大雨 | 1 | None | None | None | None | >1 | None
row 7 : smile of summer | 夏天的微笑 | 3 | None | None | None | None | 7 | None ] Execute this SQL based on the above table: select chinese order by ufo radio top 15 asc limit 1 | 河濱公園 |
[ header: season | tier | division | place row 1 : 1981/82 | 4 | 3a | 17th
row 2 : 1982/83 | 5 | regional | None
row 3 : 1983/84 | 4 | 3a | 1st
row 4 : 1984/85 | 4 | 3a | 2nd
row 5 : 1985/86 | 4 | 3a | 1st
row 6 : 1986/87 | 3 | 2ab | 10th
row 7 : 1987/88 | 3 | 2ab | 1st
row 8 : 1988/89 | 2 | 2a | 18th
row 9 : 1989/90 | 3 | 2ab | 7th
row 10 : 1990/91 | 3 | 2ab | 8th
row 11 : 1991/92 | 3 | 2ab | 20th
row 12 : 1992/93 | 4 | 3a | 14th
row 13 : 1993/94 | 4 | 3a | 19th
row 14 : 1994/95 | 5 | reg. pref | 9th
row 15 : 1995/96 | 5 | reg. pref | 4th
row 16 : 1996/97 | 5 | reg. pref | 1st
row 17 : 1997/98 | 5 | reg. pref | 2nd ] Execute this SQL based on the above table: select place where place in ( '9th' , '17th' ) order by division asc limit 1 | 17th |
[ header: position | team | points | played | won | drawn | lost | for | against | difference row 1 : 1 | paulistano | 30 | 18 | 14 | 2 | 2 | 62 | 19 | 43
row 2 : 2 | palestra italia-sp | 29 | 18 | 14 | 1 | 3 | 59 | 21 | 38
row 3 : 3 | corinthians | 26 | 18 | 12 | 2 | 4 | 51 | 16 | 35
row 4 : 4 | ypiranga-sp | 25 | 18 | 11 | 3 | 4 | 56 | 34 | 22
row 5 : 5 | aa sao bento | 16 | 18 | 7 | 2 | 9 | 38 | 44 | -6
row 6 : 6 | santos | 13 | 18 | 6 | 1 | 11 | 36 | 43 | -7
row 7 : 7 | sc internacional de sa | 11 | 15 | 3 | 5 | 7 | 26 | 44 | -18
row 8 : 8 | minas gerais | 10 | 15 | 4 | 2 | 9 | 18 | 49 | -31
row 9 : 9 | aa das palmeiras | 6 | 15 | 3 | 0 | 12 | 27 | 57 | -30
row 10 : 10 | mackenzie | 2 | 15 | 1 | 0 | 14 | 11 | 57 | -46 ] Execute this SQL based on the above table: select team where team = 'corinthians' | corinthians |
[ header: club | season | league apps | league goals | cup1 apps | cup1 goals | continental2 apps | continental2 goals | other3 apps | other3 goals | total apps | total goals row 1 : anzhi makhachkala | 1999 | 40 | 2 | None | None | None | None | None | None | 40 | 2
row 2 : anzhi makhachkala | 2000 | 30 | 3 | None | None | None | None | None | None | 30 | 3
row 3 : anzhi makhachkala | 2001 | 14 | 0 | None | None | None | None | None | None | 14 | 0
row 4 : anzhi makhachkala | total | 84 | 5 | None | None | None | None | None | None | 84 | 5
row 5 : cska moscow | 2001 | 12 | 1 | None | None | None | None | None | None | 12 | 1
row 6 : cska moscow | 2002 | 29 | 2 | None | None | 2 | 0 | None | None | 31 | 2
row 7 : cska moscow | 2003 | 28 | 1 | None | None | 2 | 0 | 1 | 0 | 31 | 1
row 8 : cska moscow | 2004 | 26 | 1 | None | None | 10 | 0 | 1 | 0 | 27 | 1
row 9 : cska moscow | 2005 | 30 | 1 | 0 | 0 | 15 | 0 | None | None | 45 | 1
row 10 : cska moscow | 2006 | 30 | 1 | 6 | 0 | 7 | 0 | 1 | 0 | 44 | 1
row 11 : cska moscow | 2007 | 27 | 0 | 5 | 0 | 7 | 0 | 1 | 0 | 40 | 0
row 12 : cska moscow | 2008 | 23 | 0 | 3 | 0 | None | None | None | None | 18 | 0
row 13 : cska moscow | 2009 | 10 | 0 | 1 | 0 | 6 | 0 | 1 | 0 | 18 | 0
row 14 : cska moscow | 2010 | 11 | 0 | 1 | 0 | 6 | 0 | 0 | 0 | 18 | 0
row 15 : cska moscow | 2011-12 | 13 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 0
row 16 : cska moscow | 2012-13 | 0 | 0 | 1 | 0 | 0 | 0 | None | None | 1 | 0
row 17 : cska moscow | 2013-14 | 1 | 0 | 0 | 0 | 0 | 0 | None | None | 1 | 0
row 18 : cska moscow | total | 240 | 7 | 1 | 0 | 56 | 0 | 5 | 0 | 302 | 7
row 19 : career total | career total | 324 | 12 | 1 | 0 | 56 | 0 | 5 | 0 | 386 | 12 ] Execute this SQL based on the above table: select club where total goals != 5 and club = ( select club where total goals = 5 ) | anzhi makhachkala, anzhi makhachkala, anzhi makhachkala |
[ header: city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 row 1 : athens | greece | 32 | None | 38 | 52 | 66
row 2 : rome | italy | 23 | None | 28 | 35 | 41
row 3 : cape town | south africa | 16 | 62 | 22 | 20 | None
row 4 : stockholm | sweden | 20 | None | 19 | None | None
row 5 : buenos aires | argentina | 16 | 44 | None | None | None ] Execute this SQL based on the above table: select country (noc) order by round 4 desc limit 1 | greece |
[ header: type | diagonal (mm) | width (mm) | height (mm) | area (mm2) | stops (area) | crop factor row 1 : 1/10" | 1.6 | 1.28 | 0.96 | 1.23 | -9.51 | 27.04
row 2 : 1/8" | 2 | 1.6 | 1.2 | 1.92 | -8.81 | 21.65
row 3 : 1/3.2" (iphone 5) | 5.68 | 4.54 | 3.42 | 15.5 | -5.8 | 7.61
row 4 : 1/3" (iphone 5s) | 6 | 4.8 | 3.6 | 17.3 | -5.64 | 7.21
row 5 : 1/2.7" | 6.72 | 5.37 | 4.04 | 21.7 | -5.31 | 6.44
row 6 : super 8mm film frame | 7.04 | 5.79 | 4.01 | 23.22 | -5.24 | 6.15
row 7 : 1/2.3" (pentax q) | 7.66 | 6.17 | 4.55 | 28.5 | -4.92 | 5.64
row 8 : 1/2" (fujifilm hs | 8 | 6.4 | 4.8 | 30.7 | -4.81 | 5.41
row 9 : 1/1.8" (nokia | 8.93 | 7.18 | 5.32 | 38.2 | -4.5 | 4.84
row 10 : 1/1.7" (pentax q7) | 9.5 | 7.6 | 5.7 | 43.3 | -4.32 | 4.55
row 11 : 1/1.6" | 10.07 | 8.08 | 6.01 | 48.56 | -4.15 | 4.3
row 12 : 2/3" (nokia lumia | 11 | 8.8 | 6.6 | 58.1 | -3.89 | 3.93
row 13 : standard 16mm film frame | 12.7 | 10.26 | 7.49 | 76.85 | -3.49 | 3.41
row 14 : blackmagic pocket cinema camera | 14.32 | 12.48 | 7.02 | 87.6 | -3.3 | 3.02
row 15 : super 16mm film frame | 14.54 | 12.52 | 7.41 | 92.8 | -3.22 | 2.97
row 16 : 1" nikon cx, son | 15.86 | 13.2 | 8.8 | 116 | -2.9 | 2.72
row 17 : 1.5" canon g1x | 23.36 | 18.7 | 14 | 262 | -1.72 | 1.85
row 18 : blackmagic production camera 4k | 24.23 | 21.12 | 11.88 | 251 | -1.78 | 1.79
row 19 : canon ef-s, a | 26.7 | 22.2 | 14.8 | 329 | -1.39 | 1.62
row 20 : canon aps-h | 33.5 | 27.9 | 18.6 | 519 | -0.73 | 1.29
row 21 : 35mm full-frame, (nikon | 43.2-43.3 | 36 | 23.9-24.3 | 860-864 | 0 | 1
row 22 : standard 65mm film frame | 57.3 | 52.48 | 23.01 | 1208 | 0.81 | 0.76
row 23 : medium-format (hasselblad h | 67.08 | 53.7 | 40.2 | 2159 | 1.26 | 0.65
row 24 : phase one p 65+, iq | 67.4 | 53.9 | 40.4 | 2178 | 1.33 | 0.64 ] Execute this SQL based on the above table: select ( select height (mm) where type = '1/3" (iphone 5s)' ) > ( select height (mm) where type = 'phase one p 65+, iq160, iq180' ) | 0 |
[ header: year | host | gold | silver | bronze row 1 : 1976 | paraguay (asuncion) | brazil | paraguay | argentina
row 2 : 1981 | peru (lima) | brazil | colombia | argentina
row 3 : 1986 | colombia (cucuta) | brazil | colombia | peru
row 4 : 1987 | argentina (mar del plata) | argentina | brazil | chile
row 5 : 1990 | ecuador (ibarra) | brazil | argentina | ecuador
row 6 : 1992 | chile (santiago) | brazil | argentina | colombia
row 7 : 1995 | brazil (sao ro | colombia | brazil | argentina
row 8 : 1996 | ecuador (quito) | argentina | brazil | colombia
row 9 : 1998 | chile (ancud) | brazil | argentina | bolivia
row 10 : 2000 | venezuela (san feli | brazil | argentina | venezuela
row 11 : 2002 | chile (santiago) | ecuador | chile | paraguay
row 12 : 2004 | bolivia (quillacollo) | brazil | argentina | bolivia
row 13 : 2005 | paraguay (asuncion) | argentina | brazil | paraguay
row 14 : 2007 | venezuela (guanare) | venezuela | argentina | brazil
row 15 : 2009 | chile (santiago) | brazil | chile | argentina
row 16 : 2011 | colombia (pasto) | colombia | argentina | brazil
row 17 : 2013 | ecuador (portoviejo) | brazil | argentina | chile ] Execute this SQL based on the above table: select count ( gold ) where year >= 1675 and year <= 1154 | 0 |
[ header: season | division | tms. | pos. | fa cup | afc cl row 1 : 2003 | 1 | 12 | 11 | quarter final |
row 2 : 2004 | 1 | 13 | 10 | round of 32 |
row 3 : 2005 | 1 | 13 | 8 | quarter final |
row 4 : 2006 | 1 | 14 | 7 | quarter final |
row 5 : 2007 | 1 | 14 | 12 | round of 16 |
row 6 : 2008 | 1 | 14 | 11 | semi final |
row 7 : 2009 | 1 | 15 | 15 | quarter-final |
row 8 : 2010 | 1 | 15 | 15 | round of 32 |
row 9 : 2011 | 1 | 16 | 12 | round of 32 |
row 10 : 2012 | 1 | 16 | 10 | round of 16 | ] Execute this SQL based on the above table: select fa cup group by fa cup order by count ( * ) desc limit 1 | round of 32 |
[ header: governorate | percentage | seats won | total seats row 1 : al-anbar | None | 0 | 29
row 2 : babil | 8.2% | 5 | 30
row 3 : baghdad | 5.4% | 3 | 57
row 4 : basra | 11.6% | 5 | 35
row 5 : dhi qar | 11.1% | 5 | 31
row 6 : diyala | None | 0 | 29
row 7 : karbala | 6.4% | 4 | 27
row 8 : maysan | 15.2% | 7 | 27
row 9 : al-muthanna | 9.3% | 5 | 26
row 10 : najaf | 14.8% | 7 | 28
row 11 : ninawa | 1.9% | 0 | 37
row 12 : al-qadisiyyah | 11.7% | 4 | 28
row 13 : salah ad-din | 2.9% | 1 | 28
row 14 : wassit | 10.0% | 6 | 28
row 15 : total | 6.6% | 52 | 440 ] Execute this SQL based on the above table: select count ( governorate ) where total seats is null | 0 |
[ header: whitworth size (in) | core diameter (in) | threads per inch | pitch (in) | tapping drill size row 1 : 1/16 | 0.0411 | 60 | 0.0167 | number drill 56 (1.2 mm)
row 2 : 3/32 | 0.0672 | 48 | 0.0208 | number drill 49 (1.85 mm)
row 3 : 1/8 | 0.093 | 40 | 0.025 | number drill 39 (2.55 mm)
row 4 : 5/32 | 0.1162 | 32 | 0.0313 | number drill 30 (3.2 mm)
row 5 : 3/16 | 0.1341 | 24 | 0.0417 | number drill 26 (3.7 mm)
row 6 : 7/32 | 0.1654 | 24 | 0.0417 | number drill 16 (4.5 mm)
row 7 : 1/4 | 0.186 | 20 | 0.05 | number drill 9 (5.1 mm)
row 8 : 5/16 | 0.2414 | 18 | 0.0556 | letter drill f (6.5 mm)
row 9 : 3/8 | 0.295 | 16 | 0.0625 | 5/16 in (7.94 mm)
row 10 : 7/16 | 0.346 | 14 | 0.0714 | letter drill u (9.3 mm)
row 11 : 1/2 | 0.3933 | 12 | 0.0833 | letter drill z (10.5 mm)
row 12 : 9/16 | 0.4558 | 12 | 0.0833 | 12.1 mm (0.4764 in)
row 13 : 5/8 | 0.5086 | 11 | 0.0909 | 13.5 mm (0.5315 in)
row 14 : 11/16 | 0.5711 | 11 | 0.0909 | 15 mm (0.5906 in)
row 15 : 3/4 | 0.6219 | 10 | 0.1 | 16.27 mm (0.6406 in)
row 16 : 13/16 | 0.6845 | 10 | 0.1 | 18 mm (0.7087 in)
row 17 : 7/8 | 0.7327 | 9 | 0.1111 | 19.25 mm (0.7579 in)
row 18 : 15/16 | 0.7953 | 9 | 0.1111 | 20.75 mm (0.8169 in)
row 19 : 1 | 0.8399 | 8 | 0.125 | 22 mm (0.8661 in)
row 20 : 1 1/8 | 0.942 | 7 | 0.1429 | None
row 21 : 1 1/4 | 1.067 | 7 | 0.1429 | None
row 22 : 1 1/2 | 1.2866 | 6 | 0.1667 | None
row 23 : 1 3/4 | 1.4939 | 5 | 0.2 | None
row 24 : 2 | 1.7154 | 4.5 | 0.2222 | None
row 25 : 2 1/2 | 2.18 | 4 | 0.25 | None ] Execute this SQL based on the above table: select count ( * ) where pitch (in) = '0.0417' | 2 |
[ header: rank | name | caps | goals | years row 1 : 1 | bedford jezzard | 3 | 6 | 1954-1955
row 2 : 2 | tommy taylor | 2 | 4 | 1956
row 3 : 2 | gordon hill | 6 | 4 | 1978
row 4 : 2 | alan smith | 4 | 4 | 1990-1992
row 5 : 5 | jack rowley | 1 | 3 | 1949
row 6 : 5 | brian talbot | 6 | 3 | 1978-1980
row 7 : 5 | paul merson | 4 | 3 | 1991-1998
row 8 : 5 | matthew le tissier | 6 | 3 | 1990-1998 ] Execute this SQL based on the above table: select name where caps < ( select caps where name = 'matthew le tissier' and caps = 6 ) order by caps desc limit 1 | alan smith |
[ header: year | host | gold | silver | bronze row 1 : 1976 | paraguay (asuncion) | brazil | paraguay | argentina
row 2 : 1981 | peru (lima) | brazil | colombia | argentina
row 3 : 1986 | colombia (cucuta) | brazil | colombia | peru
row 4 : 1987 | argentina (mar del plata) | argentina | brazil | chile
row 5 : 1990 | ecuador (ibarra) | brazil | argentina | ecuador
row 6 : 1992 | chile (santiago) | brazil | argentina | colombia
row 7 : 1995 | brazil (sao ro | colombia | brazil | argentina
row 8 : 1996 | ecuador (quito) | argentina | brazil | colombia
row 9 : 1998 | chile (ancud) | brazil | argentina | bolivia
row 10 : 2000 | venezuela (san feli | brazil | argentina | venezuela
row 11 : 2002 | chile (santiago) | ecuador | chile | paraguay
row 12 : 2004 | bolivia (quillacollo) | brazil | argentina | bolivia
row 13 : 2005 | paraguay (asuncion) | argentina | brazil | paraguay
row 14 : 2007 | venezuela (guanare) | venezuela | argentina | brazil
row 15 : 2009 | chile (santiago) | brazil | chile | argentina
row 16 : 2011 | colombia (pasto) | colombia | argentina | brazil
row 17 : 2013 | ecuador (portoviejo) | brazil | argentina | chile ] Execute this SQL based on the above table: select count ( year ) | 17 |
[ header: | 1965 | 1960 | 1960 | 1970 | 1970 row 1 : world | 3334874000 | 3021475000 | 313399000 | 3692492000 | 357618000
row 2 : africa | 313744000 | 277398000 | 36346000 | 357283000 | 43539000
row 3 : asia | 1899424000 | 1701336000 | 198088000 | 2143118000 | 243694000
row 4 : europe | 634026000 | 604401000 | 29625000 | 655855000 | 21829000
row 5 : latin america | 250452000 | 218300000 | 1270000 | 284856000 | 34404000
row 6 : northern america | 219570000 | 204152000 | 15418000 | 231937000 | 12367000
row 7 : oceania | 17657000 | 15888000 | 1769000 | 19443000 | 1786000 ] Execute this SQL based on the above table: select order by 1960 asc limit 1659 | oceania, northern america, latin america, africa, europe, asia, world |
[ header: date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | £1,000,000
row 2 : 5 july 2007 | mf | steven davis | aston villa | £4,000,000
row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | £6,000,000
row 4 : 12 july 2007 | df | chris baird | southampton | £3,035,000
row 5 : 13 july 2007 | fw | david healy | leeds united | £1,500,000
row 6 : 13 july 2007 | df | paul konchesky | west ham | £3,250,000
row 7 : 19 july 2007 | mf | lee cook | qpr | £2,500,000
row 8 : 4 august 2007 | mf | adrian leijer | melbourne victory | undisclosed
row 9 : 8 august 2007 | df | hameur bouazza | watford | £3,000,000
row 10 : 23 august 2007 | gk | kasey keller | borussia monchengladbach | free
row 11 : 30 august 2007 | df | nathan ashton | unattached | free
row 12 : 31 august 2007 | fw | shefki kuqi | crystal palace | loan
row 13 : 31 august 2007 | mf | danny murphy | tottenham hotspur | loan
row 14 : 31 august 2007 | mf | seol ki-hyeon | reading | undisclosed
row 15 : 31 august 2007 | df | dejan stefanovic | portsmouth | £1,000,000 ] Execute this SQL based on the above table: select date where date != '31 august 2007' and pos. = ( select pos. where date = '31 august 2007' ) | 9 july 2007, 13 july 2007 |
[ header: rd | home team | score | away team | result (w/d/l) | attendance row 1 : 1 | harlequins rl | 28-47 | wigan warriors | l | 8041
row 2 : 2 | hull | 6-24 | harlequins rl | w | 13313
row 3 : 3 | harlequins rl | 34-18 | wakefield trinity wildcats | w | 3176
row 4 : 4 | castleford tigers | 16-22 | harlequins rl | w | 6268
row 5 : 5 | harlequins rl | 24-0 | huddersfield giants | w | 3284
row 6 : 6 | None | None | None | None | None
row 7 : 7 | None | None | None | None | None
row 8 : ccc4 | None | None | None | None | None
row 9 : 8 | None | None | None | None | None
row 10 : 9 | None | None | None | None | None
row 11 : 10 | None | None | None | None | None
row 12 : 11 | None | None | None | None | None
row 13 : 12 | None | None | None | None | None
row 14 : 13 (a) | None | None | None | None | None
row 15 : 14 | None | None | None | None | None
row 16 : 15 | None | None | None | None | None
row 17 : 16 | None | None | None | None | None
row 18 : 17 | None | None | None | None | None
row 19 : 18 | None | None | None | None | None
row 20 : 19 | None | None | None | None | None
row 21 : 20 | None | None | None | None | None
row 22 : 21 | None | None | None | None | None
row 23 : 22 | None | None | None | None | None
row 24 : 23 | None | None | None | None | None
row 25 : 24 | None | None | None | None | None
row 26 : 25 | None | None | None | None | None
row 27 : 26 | None | None | None | None | None
row 28 : 27 | None | None | None | None | None
row 29 : esl po1 | None | None | None | None | None
row 30 : esl po2 | None | None | None | None | None
row 31 : esl po3 | None | None | None | None | None
row 32 : esl gf | None | None | None | None | None ] Execute this SQL based on the above table: select rd where attendance = 3284 | 5 |
[ header: week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412
row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589
row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281
row 4 : 4 | october 21, 1956 | at green bay packers | l 42-17 | 24,200
row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758
row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894
row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828
row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102
row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321
row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450
row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037
row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 ] Execute this SQL based on the above table: select count ( date ) | 12 |
[ header: heat | time | pos | rider | country row 1 : sf 1 | 2nd race: 12.101 s 3r | 1 | lori-ann muenzer | canada
row 2 : sf 1 | 1st race: 11.802 s | 2 | anna meares | australia
row 3 : sf 2 | 2nd race: 11.965 s 3 | 1 | tamilla abassova | russia
row 4 : sf 2 | 1st race: 11.893 s | 2 | svetlana grankovs | russia ] Execute this SQL based on the above table: select time where pos = 2 | 1st race: 11.802 s, 1st race: 11.893 s |
[ header: season | tier | division | place row 1 : 1981/82 | 4 | 3a | 17th
row 2 : 1982/83 | 5 | regional | None
row 3 : 1983/84 | 4 | 3a | 1st
row 4 : 1984/85 | 4 | 3a | 2nd
row 5 : 1985/86 | 4 | 3a | 1st
row 6 : 1986/87 | 3 | 2ab | 10th
row 7 : 1987/88 | 3 | 2ab | 1st
row 8 : 1988/89 | 2 | 2a | 18th
row 9 : 1989/90 | 3 | 2ab | 7th
row 10 : 1990/91 | 3 | 2ab | 8th
row 11 : 1991/92 | 3 | 2ab | 20th
row 12 : 1992/93 | 4 | 3a | 14th
row 13 : 1993/94 | 4 | 3a | 19th
row 14 : 1994/95 | 5 | reg. pref | 9th
row 15 : 1995/96 | 5 | reg. pref | 4th
row 16 : 1996/97 | 5 | reg. pref | 1st
row 17 : 1997/98 | 5 | reg. pref | 2nd ] Execute this SQL based on the above table: select place where place in ( '2nd' , '4' ) group by place order by count ( * ) desc limit 1 | 2nd |
[ header: census year | census year | 2001 | 2006 | 2011 row 1 : population | estimated residents on census night | 58,319 | 63,605 | 67,356
row 2 : population | lga rank in terms of size within | None | 19 | None
row 3 : population | % of new south wales population | None | None | 0.97%
row 4 : population | % of australian population | 0.31% | 0.32% | 0.31%
row 5 : cultural and language diversity | cultural and language diversity | None | None | None
row 6 : ancestry, top responses | english | None | None | 20.5%
row 7 : ancestry, top responses | australian | None | None | 18.3%
row 8 : ancestry, top responses | chinese | None | None | 14.5%
row 9 : ancestry, top responses | irish | None | None | 7.4%
row 10 : ancestry, top responses | scottish | None | None | 5.6%
row 11 : language, top responses (other than english) | cantonese | 6.7% | 7.6% | 7.5%
row 12 : language, top responses (other than english) | mandarin | 3.6% | 5.5% | 7.2%
row 13 : language, top responses (other than english) | korean | 1.7% | 2.7% | 3.6%
row 14 : language, top responses (other than english) | japanese | 2.4% | 2.4% | 2.3%
row 15 : language, top responses (other than english) | armenian | n/c | 1.4% | 1.3%
row 16 : religious affiliation | religious affiliation | None | None | None
row 17 : religious affiliation, top responses | no religion | 18.6% | 22.0% | 27.6%
row 18 : religious affiliation, top responses | catholic | 26.1% | 25.5% | 25.0%
row 19 : religious affiliation, top responses | anglican | 19.5% | 17.6% | 15.6%
row 20 : religious affiliation, top responses | buddhism | 3.7% | 4.4% | 4.6%
row 21 : religious affiliation, top responses | presbyterian and reformed | n/c | n/c | 3.1%
row 22 : median weekly incomes | median weekly incomes | None | None | None
row 23 : personal income | median weekly personal income | None | a$728 | a$858
row 24 : personal income | % of australian median income | None | 156.2% | 148.7%
row 25 : family income | median weekly family income | None | a$1,667 | a$2,479
row 26 : family income | % of australian median income | None | 162.3% | 167.4%
row 27 : household income | median weekly household income | None | a$2,066 | a$1,996
row 28 : household income | % of australian median income | None | 176.4% | 161.8% ] Execute this SQL based on the above table: select count ( distinct 2006 ) | 19 |
[ header: country | weapon designation | weapon description | year(s) delivered | quantity delivered row 1 : brazil | ee-11 urutu | apc | 1983-1984 | 350
row 2 : china | f-6 | fighter aircraft | 1982-1983 | 40
row 3 : china | type-63 107mm | multiple rocket launcher | 1984-1988 | 100
row 4 : china | wz-121/type 69 | tank | 1983-1987 | 1500
row 5 : china | hn-5a | portable sam | 1986-1987 | 1000
row 6 : czechoslovakia | bmp-2 | infantry fighting vehicle | 1987-1989 | 250
row 7 : czechoslovakia | t-55 | tank | 1982-1985 | 400
row 8 : denmark | al zahraa | landing ship | 1983 | 3
row 9 : east germany | t-55 | tank | 1981 | 50
row 10 : egypt | m-46 130mm | towed gun | 1981-1983 | 96
row 11 : france | sa-330 puma | helicopter | 1980-1981 | 20
row 12 : france | m-3 vtt | apc | 1983-1984 | 115
row 13 : france | trs-2100 tiger | air surv radar | 1988 | 1
row 14 : france | trs-2230/15 tiger | air surv radar | 1984-1985 | 6
row 15 : france | am-39 exocet | anti-ship missile | 1979-1988 | 352
row 16 : france | as-30l | asm | 1986-1990 | 240
row 17 : france | r-550 magic-1 | sraam | 1981-1985 | 534
row 18 : italy | a-109 hirundo | light helicopter | 1982 | 2
row 19 : poland | t-72m1 | tank | 1982-1990 | 500
row 20 : romania | t-55 | tank | 1982-1984 | 150
row 21 : yugoslavia | m-87 orkan 262mm | multiple rocket launcher | 1988 | 2
row 22 : united states | md-500md defender | light helicopter | 1983 | 30
row 23 : united states | md-530f | light helicopter | 1986 | 26
row 24 : soviet union | mig-21bis/fishbed-n | fighter aircraft | 1983-1984 | 61
row 25 : soviet union | mig-23bn/flogger- | fga aircraft | 1984-1985 | 50
row 26 : soviet union | su-22/fitter-h/j/ | fga aircraft | 1986-1987 | 61
row 27 : soviet union | su-25/frogfoot-a | ground attack aircraft | 1986-1987 | 84
row 28 : soviet union | 9p117/ss-1 scu | ssm launcher | 1983-1984 | 10
row 29 : soviet union | bm-21 grad 122mm | multiple rocket launcher | 1983-1988 | 560
row 30 : soviet union | d-30 122mm | towed gun | 1982-1988 | 576
row 31 : soviet union | sa-9/9p31 | aav(m) | 1982-1985 | 160
row 32 : soviet union | long track | air surv radar | 1980-1984 | 10
row 33 : soviet union | sa-8b/9k33m | mobile sam system | 1982-1985 | 50
row 34 : soviet union | thin skin | air surv radar | 1980-1984 | 5
row 35 : soviet union | 9m111/at-4 spigot | anti-tank missile | 1986-1989 | 3000
row 36 : soviet union | 9m37/sa-13 gopher | sam | 1985-1986 | 960 ] Execute this SQL based on the above table: select count ( * ) where weapon designation = 'bm-21 grad 122mm' | 1 |
[ header: place | player | country | score | to par | money ($) row 1 : t1 | larry nelson | united states | 70-72-73-72=287 | -1 | playoff
row 2 : t1 | lanny wadkins | united states | 70-70-74-73=287 | -1 | playoff
row 3 : t3 | scott hoch | united states | 74-74-71-69=2 | e | 58750
row 4 : t3 | d. a. weibring | united states | 73-72-67-76=2 | e | 58750
row 5 : t5 | mark mccumber | united states | 74-69-69-77=2 | 1 | 37500
row 6 : t5 | don pooley | united states | 73-71-73-72=2 | 1 | 37500
row 7 : t7 | ben crenshaw | united states | 72-70-74-74=290 | 2 | 27500
row 8 : t7 | bobby wadkins | united states | 68-74-71-77=290 | 2 | 27500
row 9 : 9 | curtis strange | united states | 70-76-71-74=291 | 3 | 22500
row 10 : t10 | seve ballesteros | spain | 72-70-72-78=292 | 4 | 17000
row 11 : t10 | david frost | south africa | 75-70-71-76=292 | 4 | 17000
row 12 : t10 | tom kite | united states | 72-77-71-72=292 | 4 | 17000
row 13 : t10 | nick price | zimbabwe | 76-71-70-75=29 | 4 | 17000 ] Execute this SQL based on the above table: select player where to par = 2 | ben crenshaw, bobby wadkins |
[ header: year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | None | None | None | None | None | cherry hills country club | cherry hills village, colorado | 8000000 | 1440000
row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16 | 2 strokes | conway farms golf club | lake forest, illinois | 8000000 | 1440000
row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20 | 2 strokes | crooked stick golf club | carmel, indiana | 8000000 | 1440000
row 4 : 2011 | justin rose | england | 63-68-69-71=27 | -13 | 2 strokes | cog hill golf & country club | lemont, illinois | 8000000 | 1440000
row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9 | 1 stroke | cog hill golf & country club | lemont, illinois | 7500000 | 1350000
row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=2 | -19 | 8 strokes | cog hill golf & country club | lemont, illinois | 7500000 | 1350000
row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15 | 2 strokes | bellerive country club | town and country, missouri | 7000000 | 1260000
row 8 : 2007 | tiger woods | united states | 67-67-65-63=26 | -22 | 2 strokes | cog hill golf & country club | lemont, illinois | 7000000 | 1260000 ] Execute this SQL based on the above table: select count ( * ) | 8 |
[ header: year | number | name row 1 : 1884-1885 | 7 | lukin homphrey i
row 2 : 1889-1890 | 6 | septimus julius augustus deni
row 3 : 1901 | 154 | f.m. gaudet
row 4 : 1907 | 139 | c.r.f. cout
row 5 : 1910 | 63 | george hooper
row 6 : 1913 | 268 | henry robert visart de
row 7 : 1928 | 555 | r.r. carr-harri
row 8 : 1930-1931 | 1119 | j.h. price
row 9 : 1940-1941 | 803 | j.v. young
row 10 : 1945 | 982 | d.w. mackeen
row 11 : 1948 | 1855 | ian s. johnston
row 12 : 1951 | 1860 | nicol kingsmill
row 13 : 1957 | 1954 | w.p. carr
row 14 : 1962 | 2183 | james e. pepall
row 15 : 1968-1969 | rcnc90 | john f. frank
row 16 : 1986-1987 | 5604 | ken smee
row 17 : 1996-1997 | 3550 | murray johnston
row 18 : 2002-2003 | 6777 | michel charron
row 19 : 2005-2006 | 10080 | robert booth
row 20 : 2013 | m0058 | marc drolet (first u
row 21 : 1891 | 10 | victor brereton rivers
row 22 : 1895-1896 | 15 | francis joseph dixon
row 23 : 1899 | 14 | john bray cochrane
row 24 : 1902 | 47 | ernest frederick w
row 25 : 1908 | 232 | john houlison
row 26 : 1911 | 255 | h.a. panet
row 27 : 1923 | 377 | a.c. caldwell
row 28 : 1929 | 667 | e.g. hanson
row 29 : 1932 | 472 | a.r. chipman
row 30 : 1936-1937 | 877 | g.l. magann
row 31 : 1946 | 1841 | d.g. cunningham
row 32 : 1952 | 1828 | ted g.e. beament
row 33 : 1955 | 1474 | de l.h.m panet
row 34 : 1960 | 1379 | h.a. mackenzie
row 35 : 1980-1981 | 3251 | jim tremain
row 36 : 2000-2001 | 5758 | michael morres
row 37 : 2003-2004 | 7776 | chris lythgo
row 38 : 1892 | 86 | reuben wells leonard
row 39 : 1897 | 48 | a.k. kirkpatrick
row 40 : 1900 | 41 | robert cartwright
row 41 : 1909 | 91 | j.d. gibson
row 42 : 1912 | 246 | major-general sir henry e
row 43 : 1920 | 293 | c.j. armstrong
row 44 : 1927 | 623 | s.b. coristine
row 45 : 1938-1939 | 1003 | a.m. mitchell
row 46 : 1950 | 1542 | e.w. crowe
row 47 : 1953 | 1620 | r.r. labatt
row 48 : 1961 | 2157 | j.h.r. gagnon
row 49 : 1964 | 2351 | guy savard
row 50 : 1981-1982 | 2897 | herb pitts
row 51 : 1992-1993 | h3356 | robin cumine
row 52 : 1995-1996 | 5739 | andre costin ] Execute this SQL based on the above table: select name where number < ( select number where name = 'francis joseph dixon' ) | c.r.f. coutlee, j.h. price, robert booth, victor brereton rivers, john bray cochrane, de l.h.m panet, h.a. mackenzie, a.m. mitchell |
[ header: rank | city | population | area (km2) | density (inhabitants/km2) | altitude (mslm) row 1 : 1st | alessandria | 94191 | 203.97 | 461.8 | 95
row 2 : 2nd | casale monferrato | 36039 | 86.32 | 417.5 | 116
row 3 : 3rd | novi ligure | 28581 | 54.22 | 527.1 | 197
row 4 : 4th | tortona | 27476 | 99.29 | 276.7 | 122
row 5 : 5th | acqui terme | 20426 | 33.42 | 611.2 | 156
row 6 : 6th | valenza | 20282 | 50.05 | 405.2 | 125
row 7 : 7th | ovada | 11912 | 35.33 | 337.2 | 186
row 8 : 8th | serravalle scrivia | 6445 | 16.02 | 402.3 | 225
row 9 : 9th | arquata scrivia | 6260 | 30.36 | 206.2 | 248
row 10 : 10th | castelnuovo scrivia | 5473 | 45.42 | 120.5 | 85 ] Execute this SQL based on the above table: select count ( rank ) where density (inhabitants/km2) > '527.1' | 1 |
[ 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 player where id = 1 | karel hromadka (czechoslovakia) |
[ header: institution | city | state | team name | affiliation | enrollment | home conference row 1 : augustana college (illinois) | rock island | illinois | vikings | private/lutheran | 2500 | cciw
row 2 : aurora university | aurora | illinois | spartans | private/non-sectarian | 1685 | northern
row 3 : beloit college | beloit | wisconsin | buccaneers | private/non-sectarian | 1300 | midwest
row 4 : benedictine university | lisle | illinois | eagles | private/catholic | 3282 | northern
row 5 : carthage college | kenosha | wisconsin | red men | private/lutheran | 2188 | cciw
row 6 : concordia university wisconsin | mequon | wisconsin | falcons | private/lutheran | 1608 | northern
row 7 : university of dubuque | dubuque | iowa | spartans | private/presbyterian | 1559 | iiac
row 8 : elmhurst college | elmhurst | illinois | bluejays | private/united church of christ | 3400 | cciw
row 9 : fontbonne university | st. louis | missouri | griffins | private/catholic | 2924 | sliac
row 10 : college of mount st. josep | cincinnati | ohio | lions | private/catholic | 1334 | hcac
row 11 : north central college | naperville | illinois | cardinals | private/methodist | 2900 | cciw ] Execute this SQL based on the above table: select sum ( enrollment ) | 24680.0 |
[ header: city | country | iata | icao | airport | commenced | ended row 1 : bangkok | thailand | bkk | vtbs | suvarnabhumi airport | 2004 | present
row 2 : chennai | india | maa | vomm | chennai international airport | 2007 | present
row 3 : chiang mai | thailand | cnx | vtcc | chiang mai international airport | 2005 | 2008
row 4 : da nang | vietnam | dad | vvdn | da nang international airport | 2006 | 2006
row 5 : dhaka | bangladesh | dac | vghs | shahjalal international airport | 2012 | present
row 6 : guangzhou | china | can | zggg | guangzhou baiyun international airport | 2006 | present
row 7 : haikou | china | hak | zjhk | haikou meilan international airport | 2006 | present
row 8 : hat yai | thailand | hdy | vtss | hat yai international airport | 2004 | present
row 9 : ho chi minh city | vietnam | sgn | vvts | tan son nhat international airport | 2005 | present
row 10 : hong kong | hong kong | hkg | vhhh | hong kong international airport | 2010 | present
row 11 : hyderabad | india | hyd | vohs | rajiv gandhi international | 2012 | present
row 12 : kochi | india | cok | voci | cochin international airport | 2012 | present
row 13 : krabi | thailand | kbv | vtsg | krabi airport | 2005 | present
row 14 : kuala lumpur | malaysia | kul | wmkk | kuala lumpur international airport | 2008 | present
row 15 : kuching | malaysia | kch | wbgg | kuching international airport | 2008 | 2013
row 16 : langkawi | malaysia | lgk | wmkl | langkawi international airport | 2009 | 2010
row 17 : lijang | china | ljg | zplj | lijiang sanyi airport | 2013 | present
row 18 : lombok | indonesia | lop | wadl | lombok international airport | 2013 | present
row 19 : manila | philippines | mnl | rpll | ninoy aquino international airport | 2010 | present
row 20 : penang | malaysia | pen | wmkp | penang international airport | 2009 | present
row 21 : perth | australia | per | ypph | perth airport | 2004 | present
row 22 : phnom penh | cambodia | pnh | vdpp | phnom penh international airport | 2012 | present
row 23 : singapore | singapore | sin | wsss | singapore changi airport[hub | 2004 | present
row 24 : surabaya | indonesia | sub | warr | juanda international airport | 2013 | present
row 25 : taipei | taiwan | tpe | rctp | taiwan taoy | 2011 | present
row 26 : thiruvananthapuram | india | trv | votv | trivandrum international airport | 2010 | present
row 27 : tiruchirapalli | india | trz | votr | tiruchirapalli airport | 2010 | present
row 28 : udon thani | thailand | uth | vtud | udon thani international airport | 2007 | 2007 ] Execute this SQL based on the above table: select airport order by commenced desc limit 1 | lijiang sanyi airport |
[ header: # | temple name | hangul | hanja | period of reign | personal name | relationship | note row 1 : 3 | giru | 기루왕 | 己婁王 | 77-128 | None | first son of daru | None
row 2 : 5 | chogo | 초고왕 | 肖古王 | 166-214 | None | son of gaeru | also sogo (소고왕, 素古王)
row 3 : 7 | saban | 사반왕 | 沙泮王 | 234 | None | first son of gusu | also sai (사이왕, 沙伊王
row 4 : 9 | chaekgye | 책계왕 | 責稽王 | 286-298 | None | son of goi | also cheonggye (청계왕,
row 5 : 11 | biryu | 비류왕 | 比流王 | 304-344 | None | second son of gusu | None
row 6 : 13 | geunchogo | 근초고왕 | 近肖古王 | 346-375 | yeogu | second son of biryu | also chogo (초고왕, 肖古王)
row 7 : 15 | chimnyu | 침류왕 | 枕流王 | 384-385 | None | first son of geungusu | None
row 8 : 17 | asin | 아신왕 | 阿莘王 | 392-405 | None | nephew of jinsa; first son | also aha (아화왕, 阿華王)
row 9 : 19 | gu-isin | 구이신왕 | 久爾辛王 | 420-427 | None | first son of jeonji | None
row 10 : 23 | samgeun | 삼근왕 | 三斤王 | 477-479 | samgeun (삼근, 三斤 | first son of munju | also mun-geun (문근왕, 文斤王
row 11 : 24 | dongseong | 동성왕 | 東城王 | 479-501 | modae (모대, 牟大) or | cousin of samgeum | None
row 12 : 27 | wideok | 위덕왕 | 威德王 | 554-598 | chang (창, 昌) | first son of seong | also chang (창왕, 昌王) ] Execute this SQL based on the above table: select count ( * ) where abs ( temple name - personal name ) > 40 | 0 |
[ header: community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19°26′36′′s 146°
row 2 : eagle farm, brisban | eagle farm airport | military/public | 27°25′30′′s 153°
row 3 : charters towers | breddan aerodrome | military | 19°56′34′′s 146°
row 4 : petrie, brisbane | petrie airfield | military | 27°17′s 153°00′
row 5 : tarampa | tarampa airfield | military | 27°27′19′′s 152°
row 6 : townsville | aitkenvale aerodrome | military | 19°18′45′′s 146°
row 7 : townsville | bohle river aerodrome | military | 19°16′58′′s 146°
row 8 : townsville | reid river airfield | military | 19°45′45′′s 146° ] Execute this SQL based on the above table: select airport name where id = 1 | antil plains aerodrome |
[ header: match | date | ground | opponent | score1 | pos. | pts. | gd row 1 : 2 | 22 august | h | 1. fc kaiserslau | 1 - 0 | 1 | 4 | 4
row 2 : 4 | 29 august | h | dynamo dresden | 3 - 1 | 1 | 6 | 6
row 3 : 5 | 2 september | a | 1. fc koln | 3 - 1 | 1 | 8 | 8
row 4 : 6 | 5 september | h | hamburger sv | 4 - 0 | 1 | 10 | 12
row 5 : 7 | 19 september | h | sg wattenscheid 09 | 1 - 1 | 1 | 11 | 12
row 6 : 8 | 25 september | a | borussia dortmund | 2 - 1 | 1 | 13 | 13
row 7 : 9 | 3 october | h | borussia monchengladbach | 2 - 2 | 1 | 14 | 13
row 8 : 10 | 17 october | a | 1. fc saarbrucken | 1 - 1 | 1 | 15 | 13
row 9 : 11 | 24 october | h | werder bremen | 1 - 3 | 1 | 15 | 11
row 10 : 3 | 27 october | a | eintracht frankfurt | 1 - 1 | 1 | 16 | 11
row 11 : 12 | 31 october | a | vfb stuttgart | 3 - 2 | 1 | 18 | 12
row 12 : 14 | 21 november | a | bayer leverkusen | 4 - 2 | 1 | 22 | 15
row 13 : 15 | 28 november | h | karlsruher sc | 3 - 3 | 1 | 23 | 15
row 14 : 16 | 5 december | a | vfl bochum | 2 - 2 | 1 | 24 | 15
row 15 : 19 | 27 february | a | 1. fc kaiserslau | 3 - 1 | 1 | 29 | 19
row 16 : 20 | 6 march | h | eintracht frankfurt | 1 - 0 | 1 | 31 | 20
row 17 : 22 | 20 march | h | 1. fc koln | 3 - 0 | 1 | 34 | 23
row 18 : 23 | 28 march | a | hamburger sv | 1 - 3 | 1 | 34 | 21
row 19 : 24 | 2 april | a | sg wattenscheid 09 | 0 - 2 | 1 | 34 | 19
row 20 : 25 | 10 april | h | borussia dortmund | 2 - 0 | 1 | 36 | 21
row 21 : 26 | 17 april | a | borussia monchengladbach | 2 - 2 | 1 | 37 | 21
row 22 : 27 | 23 april | h | 1. fc saarbrucken | 6 - 0 | 1 | 39 | 27
row 23 : 28 | 26 april | a | werder bremen | 1 - 4 | 1 | 39 | 24
row 24 : 30 | 8 may | a | 1. fc nurnberg | 0 - 0 | 1 | 42 | 26
row 25 : 31 | 15 may | h | bayer leverkusen | 4 - 1 | 1 | 44 | 29
row 26 : 32 | 23 may | a | karlsruher sc | 2 - 4 | 1 | 44 | 27
row 27 : 33 | 29 may | h | vfl bochum | 3 - 1 | 2 | 46 | 29
row 28 : 34 | 5 june | a | schalke 04 | 3 - 3 | 2 | 47 | 29 ] Execute this SQL based on the above table: select match where match in ( 6 , 6 ) group by match order by sum ( gd - gd ) desc limit 1 | 6 |
[ header: week # | theme | song choice | original artist | order # | result row 1 : audition | auditioner's choice | "tempos modernos" | lulu santos | None | advanced
row 2 : theater | first solo | "a sombra da maldade" | cidade negra | None | advanced
row 3 : top 30 | semi-final/group 3 | "noite do prazer" | claudio zoli | 10 | advanced
row 4 : top 10 | my idol | "paraiso" | claudio zoli | 6 | safe
row 5 : top 9 | male singers | "ultimo romantico" | lulu santos | 8 | safe
row 6 : top 8 | female singers | "lanterna dos afo | cassia eller | 1 | safe
row 7 : top 7 | birth year songs | "frisson" | tunai | 4 | safe
row 8 : top 6 | jovem pan hits | "do seu lado" | jota quest | 6 | safe
row 9 : top 5 | jovem guarda | "o bom" | eduardo araujo | 3 | safe
row 10 : top 5 | jovem guarda | "vem me ajudar" | the fevers | 8 | safe
row 11 : top 4 | brazil regional | "eva" | radio taxi | 3 | safe
row 12 : top 4 | brazil regional | "admiravel gado novo | ze ramalho | 7 | safe
row 13 : top 3 | contestant's choice | "as sete vampiras | leo jaime | 2 | safe
row 14 : top 3 | contestant's choice | "eu me rendo" | fabio junior | 5 | safe
row 15 : top 2 | winner's single | "deixo a voz me | leandro lopes | 2 | winner
row 16 : top 2 | challenging songs | "queixa" | caetano veloso | 4 | winner
row 17 : top 2 | judge's choice | "quero te encon | kid abelha | 6 | winner
row 18 : top 2 | best of the season | "paraiso" | claudio zoli | 8 | winner
row 19 : top 2 | celebrity duet | "admiravel gado novo | ze ramalho | 10 | winner ] Execute this SQL based on the above table: select count ( result ) where order # < 1717 | 17 |
[ header: year | english title | japanese | romanization | type row 1 : 1991 | (toppu! minipato ta | 突風! ミニハト隊 アイキャッチ・シャンクション | toppu! minipato tai | video
row 2 : 1991 | (redi hanta: kor | レティハンター 殺しのフレュート | redi hanta: koro | video
row 3 : 1995 | (daisan no gokudo | 第三の極道 | daisan no gokudo | video
row 4 : 1995 | osaka tough guys | なにわ遊侠伝 | naniwa yukyo | video
row 5 : 1996 | the way to fight | 喧嘩の花道 大阪最強伝説 | kenka no hanamichi: | video
row 6 : 1997 | full metal yakuza | full metal 極道 | full metal gokudo | video
row 7 : 1998 | the bird people in china | 中国の鳥人 | chugoku no chojin | film
row 8 : 1998 | blues harp | blues harp | None | film
row 9 : 1999 | man, a natural girl | 天然少女萬 | tennen shojo man | tv
row 10 : 1999 | ley lines | 日本黒社会 | nihon kuroshaka | film
row 11 : 1999 | salaryman kintaro white collar worker | サラリーマン金太郎 | sarariiman kintaro | film
row 12 : 2000 | the making of 'gemini' | (unknown) | tsukamoto shin' | tv documentary
row 13 : 2001 | ichi the killer | 殺し屋1 | koroshiya 1 | film
row 14 : 2002 | dead or alive: final | dead or alive final | None | film
row 15 : 2002 | (onna kunishu ikk | おんな 国衆一揆 | onna kunishu ikk | (unknown)
row 16 : 2003 | koshonin | 交渉人 | koshonin | tv
row 17 : 2004 | zebraman | セフラーマン | zeburaman | film
row 18 : 2006 | big bang love, juvenile a 4.6 | 46億年の恋 | 46-okunen no koi | film
row 19 : 2006 | imprint episode from masters of horror | インフリント ~ほっけえ、きょうてえ~ | inpurinto ~bokke ky | tv episode
row 20 : 2006 | waru: kanketsu-hen | None | waru: kanketsu-hen | video
row 21 : 2009 | crows zero 2 | クロースzero 2 | kurozu zero 2 | film
row 22 : 2011 | hara-kiri: death of a | 一命 | ichimei | film
row 23 : 2012 | ace attorney | 逆転裁判 | gyakuten saiban | film
row 24 : 2013 | shield of straw | 藁の楯 | wara no tate | film ] Execute this SQL based on the above table: select japanese order by year asc limit 1 | 突風! ミニハト隊 アイキャッチ・シャンクション |
[ header: category | | area (sq miles) | area (km2) | population (2011) | density (per km2) row 1 : mainland | aberdeen city | 70 | 182 | 222800 | 1224
row 2 : mainland | aberdeenshire | 2439 | 6317 | 253000 | 40
row 3 : mainland | angus | 843 | 2184 | 116000 | 53
row 4 : mainland | argyll and bute | 2712 | 7023 | 88200 | 13
row 5 : mainland | clackmannanshire | 61 | 158 | 51400 | 325
row 6 : mainland | dumfries and galloway | 2489 | 6446 | 151300 | 23
row 7 : mainland | dundee city | 21 | 55 | 147300 | 2678
row 8 : mainland | east ayrshire | 492 | 1275 | 122700 | 96
row 9 : mainland | east dunbartonshire | 68 | 176 | 105000 | 597
row 10 : mainland | east lothian | 257 | 666 | 99700 | 150
row 11 : mainland | east renfrewshire | 65 | 168 | 90600 | 539
row 12 : mainland | city of edinburgh | 100 | 260 | 476600 | 1833
row 13 : mainland | falkirk | 113 | 293 | 156000 | 532
row 14 : mainland | fife | 517 | 1340 | 365200 | 273
row 15 : mainland | glasgow city | 68 | 175 | 593200 | 3390
row 16 : mainland | highland | 10085 | 26119 | 232100 | 9
row 17 : mainland | inverclyde | 64 | 167 | 81500 | 488
row 18 : mainland | midlothian | 135 | 350 | 83200 | 238
row 19 : mainland | moray | 864 | 2237 | 93300 | 42
row 20 : mainland | north ayrshire | 343 | 888 | 138200 | 156
row 21 : mainland | north lanarkshire | 184 | 476 | 337800 | 710
row 22 : mainland | perth and kinross | 2083 | 5395 | 146700 | 27
row 23 : mainland | renfrewshire | 102 | 263 | 174900 | 665
row 24 : mainland | scottish borders | 1825 | 4727 | 113900 | 24
row 25 : mainland | south ayrshire | 475 | 1230 | 112800 | 92
row 26 : mainland | south lanarkshire | 686 | 1778 | 313800 | 176
row 27 : mainland | stirling | 866 | 2243 | 90200 | 40
row 28 : mainland | west dunbartonshire | 68 | 176 | 90700 | 515
row 29 : mainland | west lothian | 165 | 427 | 175100 | 410
row 30 : None | total mainland | 28260 | 73193 | 5223100 | 71
row 31 : island | na h-eileanan | 1185 | 3070 | 27700 | 8
row 32 : island | orkney islands | 396 | 1025 | 21400 | 21
row 33 : island | shetland islands | 568 | 1471 | 23200 | 15
row 34 : None | total islands | 2149 | 5566 | 72300 | 13
row 35 : None | total scotland | 30409 | 78759 | 5295400 | 67 ] Execute this SQL based on the above table: select where density (per km2) >= 3390 | glasgow city |
[ header: rank | country | winners | runners-up | finals total row 1 : 1 | spain | 17 | 8 | 25
row 2 : 2 | germany east germany | 11 1 12 | 10 3 13 | 21 4 25
row 3 : 3 | soviet union russia | 2 1 3 | 1 0 1 | 3 1 4
row 4 : 4 | hungary | 2 | 3 | 5
row 5 : 5 | belarus | 2 | 0 | 2
row 6 : 6 | france | 1 | 3 | 4
row 7 : 7 | sweden | 0 | 2 | 2
row 8 : 8 | bosnia & herzegov | 0 | 1 | 1
row 9 : 8 | croatia | 0 | 1 | 1
row 10 : 8 | czech republic | 0 | 1 | 1
row 11 : 8 | denmark | 0 | 1 | 1
row 12 : 8 | romania | 0 | 1 | 1
row 13 : 8 | serbia | 0 | 1 | 1
row 14 : 8 | switzerland | 0 | 1 | 1
row 15 : total | total | 37 | 37 | 74 ] Execute this SQL based on the above table: select rank order by winners asc limit 1 | 7 |
[ header: name of place | counties | principal county | lower zip code row 1 : campbell hall | 1 | orange county | 10916
row 2 : canaan | 1 | columbia county | 12029
row 3 : canajoharie | 1 | montgomery county | None
row 4 : canoe place | 1 | suffolk county | 11946
row 5 : careys corners | 1 | oneida county | None
row 6 : carman | 1 | schenectady county | 12303
row 7 : carpenters corners | 1 | fulton county | None
row 8 : cass | 1 | erie county | 14206
row 9 : castle point | 1 | dutchess county | 12511
row 10 : catfish corners | 1 | oswego county | None
row 11 : catskill (town) | 1 | greene county | 12414
row 12 : cayuta | 1 | schuyler county | 14824
row 13 : cedar hill | 1 | albany county | 12158
row 14 : cedarville station | 1 | herkimer county | None
row 15 : central nyack | 1 | rockland county | 10960
row 16 : chase lake | 1 | lewis county | 13343
row 17 : chelsea | 1 | dutchess county | 12512
row 18 : chemung | 1 | chemung county | None
row 19 : chili junction | 1 | monroe county | None
row 20 : chittenango springs | 1 | madison county | None
row 21 : churchville | 1 | monroe county | 14428
row 22 : clarkson | 1 | monroe county | 14430
row 23 : claverack | 1 | columbia county | None
row 24 : clifton heights | 1 | erie county | 14085
row 25 : clinton county airport | 1 | clinton county | None
row 26 : coldbrook | 1 | erie county | 14072
row 27 : colemans mills | 1 | oneida county | 13492
row 28 : coleman station | 1 | dutchess county | None
row 29 : colonial acres | 1 | albany county | 12077
row 30 : colonial acres | 1 | westchester county | 10583
row 31 : columbus quarter | 1 | chenango county | None
row 32 : como | 1 | cayuga county | None
row 33 : congers | 1 | rockland county | 10920
row 34 : connelly park | 1 | chautauqua county | 14710
row 35 : conquest | 1 | cayuga county | None
row 36 : cooperstown junction | 1 | otsego county | 12116
row 37 : craterclub | 1 | essex county | 12936
row 38 : crescent beach | 1 | monroe county | 14612
row 39 : crestwood | 1 | westchester county | 10707
row 40 : crestwood | 1 | westchester county | None
row 41 : crittenden | 1 | erie county | 14038
row 42 : croghan | 1 | lewis county | 13327
row 43 : croghan | 1 | lewis county | None ] Execute this SQL based on the above table: select principal county where counties = 1 order by counties asc limit 1 | orange county |
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