Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ 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 constructor = 'mclaren-honda'	10
[ 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 iso 3166-2:af = 'af-day'	10
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select gold order by event desc limit 1	inna lasovskaya (rus)
[ header: airline \| airline (in russian) \| licence # \| icao \| iata \| domestic code \| callsign \| photo row 1 : aeroservice \| ооо «авиаком \| 408 \| None \| None \| юг \| None \| None row 2 : altay airlines \| алтаиское крае \| 333 \| None \| None \| бш \| None \| None row 3 : bural \| оао «авиаком \| 218 \| bun \| u4 \| бю \| bural \| None row 4 : flight inspections and systems \| зао «летные \| 467 \| lts \| None \| лт \| specair \| None row 5 : globus \| ооо «глобус \| 515 \| glp \| gh \| гл \| globus \| None row 6 : grozny avia \| оао «авиаком \| 519 \| goz \| zg \| гг \| groznyy avia \| None row 7 : i-fly \| ооо «аи фла \| 533 \| rsy \| h5 \| фл \| russian sky \| None row 8 : iraero \| зао «авиаком \| 480 \| iae \| io \| рд \| iraero \| None row 9 : kogalymavia \| ооо «авиаком \| 165 \| kgl \| 7k \| 7к \| kogalym \| None row 10 : mbks \| оао «мбк-с \| None \| plg \| None \| None \| pilgrim \| None row 11 : orenburg tsentralny airport \| федеральное \| 539 \| org \| o7 \| уэ \| orenavia \| None row 12 : panh aircompany \| ооо «авиаци \| 542 \| None \| None \| шс \| None \| None row 13 : polar airlines \| оао «авиаком \| 538 \| rka \| None \| яп \| air sakha \| None row 14 : rossiya \| оао «авиаком \| 2 \| sdm \| fv \| пл \| russia \| None row 15 : sokol \| зао «авиаком \| 284 \| piv \| None \| юп \| aerosokol \| None row 16 : utair express \| ооо «ютэир \| 504 \| utx \| ur \| юр \| kominter \| None ] Execute this SQL based on the above table: select abs ( ( select licence # where airline (in russian) = 'зао «авиакомпания «ираэро»' ) - ( select licence # where airline (in russian) = 'оао «авиакомпания «россия»' ) )	478.0
[ header: polling firm \| month \| link \| favor \| oppose row 1 : rutgers-eagleton \| march 2014 \| None \| 64 \| 28 row 2 : quinnipiac \| july 2013 \| None \| 60 \| 31 row 3 : rutgers-eagleton \| june 2013 \| None \| 59 \| 30 row 4 : quinnipiac \| march 2013 \| None \| 64 \| 30 row 5 : public policy polling \| november 2012 \| None \| 53 \| 36 row 6 : quinnipiac \| february 2012 \| None \| 57 \| 37 row 7 : rutgers-eagleton \| february 2012 \| None \| 54 \| 35 row 8 : quinnipiac \| january 2012 \| None \| 52 \| 42 row 9 : rutgers-eagleton \| october 2011 \| None \| 52 \| 39 row 10 : rutgers-eagleton \| august 2011 \| None \| 52 \| 32 row 11 : public policy polling \| july 2011 \| None \| 47 \| 42 row 12 : quinnipiac \| november 2009 \| None \| 46 \| 49 row 13 : rutgers-eagleton \| november 2009 \| None \| 50 \| 42 row 14 : quinnipiac \| april 2009 \| None \| 49 \| 43 row 15 : zogby international \| august 2008 \| None \| 50 \| 42 row 16 : zogby international \| august 2007 \| None \| 48.1 \| 44.6 row 17 : rasmussen reports \| july 2006 \| None \| 42 \| 54 row 18 : rutgers-eagleton \| june 2006 \| pdf \| 49 \| 44 row 19 : zogby international \| february 2006 \| None \| 56 \| 39 row 20 : zogby international \| april 2005 \| html \| 54.5 \| 40.1 row 21 : rutgers-eagleton \| september 2003 \| pdf \| 43 \| 50 row 22 : zogby international \| july 2003 \| None \| 55 \| 41 ] Execute this SQL based on the above table: select ( select favor where polling firm = 'zogby international' ) - ( select favor where polling firm = 'rasmussen reports' )	8.0
[ header: round \| # \| player \| position \| nationality \| college/junior/club team (league) row 1 : 1 \| 7 \| kyle okposo \| right wing \| united states \| des moines buccaneers (ushl row 2 : 2 \| 60 \| jesse joensuu \| wing \| finland \| assat (sm-liiga row 3 : 3 \| 70 \| robin figren \| wing \| sweden \| frolunda hc (e row 4 : 4 \| 100 \| rhett rakhshan \| right wing \| united states \| university of denver(ncaa) row 5 : 4 \| 108 \| jase weslosky \| goalie \| canada \| sherwood park crusaders ( row 6 : 4 \| 115 \| tomas marcinko \| center \| slovakia \| hc kosice (slovak row 7 : 4 \| 119 \| doug rogers \| center \| united states \| saint sebastian's school (independent row 8 : 5 \| 141 \| kim johansson \| wing \| sweden \| malmo jr row 9 : 6 \| 160 \| andrew macdonald \| defenceman \| canada \| moncton wildcats (qm row 10 : 6 \| 171 \| brian day \| right wing \| united states \| governor dummer (independent school league) row 11 : 6 \| 173 \| stefan ridderwall \| goalie \| sweden \| djurgarden jr. ( row 12 : 7 \| 190 \| troy mattila \| left wing \| united states \| springfield jr. blues (nah ] Execute this SQL based on the above table: select # order by # desc limit 1	70
[ header: district \| name \| party \| district office \| first elected row 1 : 1 \| a.g. crowe \| rep \| slidell \| 2007 row 2 : 2 \| troy brown \| dem \| napoleonville \| 2011 row 3 : 3 \| j.p. morrell \| dem \| new orleans \| 2008 row 4 : 4 \| ed murray \| dem \| new orleans \| 2005 row 5 : 5 \| karen carter peterson \| dem \| new orleans \| 2010 row 6 : 6 \| bodi white \| rep \| baton rouge \| 2011 row 7 : 7 \| david heitmeier \| dem \| new orleans \| 2007 row 8 : 8 \| john alario \| rep \| westwego \| 2007 row 9 : 9 \| conrad appel \| rep \| metairie \| 2008 row 10 : 10 \| daniel martiny \| rep \| metairie \| 2007 row 11 : 11 \| jack donahue \| rep \| mandeville \| 2007 row 12 : 12 \| ben nevers \| dem \| bogalusa \| 2003 row 13 : 13 \| dale m. erdey \| rep \| livingston \| 2007 row 14 : 14 \| yvonne dorsey- \| dem \| baton rouge \| 2007 row 15 : 15 \| sharon weston broome \| dem \| baton rouge \| 2004 row 16 : 16 \| dan claitor \| rep \| baton rouge \| 2009 row 17 : 17 \| rick ward, iii \| rep \| port allen \| 2011 row 18 : 18 \| jody amedee \| rep \| gonzales \| 2003 row 19 : 19 \| gary smith, jr \| dem \| norco \| 2011 row 20 : 20 \| norby chabert \| rep \| houma \| 2009 row 21 : 21 \| bret allain \| rep \| franklin \| 2011 row 22 : 22 \| fred h. mills, \| rep \| new iberia \| 2011 row 23 : 23 \| page cortez \| rep \| lafayette \| 2011 row 24 : 24 \| elbert guillory \| rep \| opelousas \| 2009 row 25 : 25 \| dan "blade" morrish \| rep \| jennings \| 2007 row 26 : 26 \| jonathan perry \| rep \| kaplan \| 2011 row 27 : 27 \| ronnie johns \| rep \| lake charles \| 2011 row 28 : 28 \| eric lafleur \| dem \| ville platte \| 2007 row 29 : 29 \| rick gallot \| dem \| ruston \| 2011 row 30 : 30 \| john r. smith \| rep \| leesville \| 2007 row 31 : 31 \| gerald long \| rep \| winnfield \| 2007 row 32 : 32 \| neil riser \| rep \| columbia \| 2007 row 33 : 33 \| mike walsworth \| rep \| west monroe \| 2007 row 34 : 34 \| francis c. thomp \| dem \| delhi \| 2007 row 35 : 35 \| robert kostelka \| rep \| monroe \| 2003 row 36 : 36 \| robert adley \| rep \| benton \| 2003 row 37 : 37 \| barrow peacock \| rep \| bossier \| 2011 row 38 : 38 \| sherri smith buffington \| rep \| keithville \| 2003 row 39 : 39 \| gregory tarver \| dem \| shreveport \| 2011 ] Execute this SQL based on the above table: select count ( * ) where first elected = 2011	12
[ header: no. \| score \| player \| team \| balls \| inns. \| opposing team \| date \| result row 1 : 1 \| 325 \| andy sandham \| england \| 640 \| 1 \| west indies \| 3 april 1930 \| drawn row 2 : 4 \| 270 \| george headley (2/2) \| west indies \| nr \| 1 \| england \| 14 march 1935 \| won row 3 : 6 \| 141 \| everton weekes (1/2) \| west indies \| nr \| 2 \| england \| 27 march 1948 \| won row 4 : 9 \| 237 \| frank worrell \| west indies \| nr \| 2 \| india \| 28 march 1953 \| drawn row 5 : 12 \| 150 \| pankaj roy \| india \| nr \| 3 \| west indies \| 28 march 1953 \| drawn row 6 : 14 \| 116 \| willie watson \| england \| nr \| 4 \| west indies \| 15 january 1954 \| lost row 7 : 16 \| 116 \| clyde walcott (2/5) \| west indies \| nr \| 3 \| england \| 30 march 1954 \| lost row 8 : 19 \| 108 \| clyde walcott (3/5) \| west indies \| nr \| 2 \| australia \| 26 march 1955 \| lost row 9 : 21 \| 155 \| clyde walcott (4/5) \| west indies \| nr \| 1 \| australia \| 11 june 1955 \| lost row 10 : 24 \| 109 \| keith miller (2/2) \| australia \| nr \| 2 \| west indies \| 11 june 1955 \| won row 11 : 25 \| 128 \| ron archer \| australia \| nr \| 2 \| west indies \| 11 june 1955 \| won row 12 : 27 \| 110 \| clyde walcott (5/5) \| west indies \| nr \| 3 \| australia \| 11 june 1955 \| lost row 13 : 31 \| 106 \| wazir mohammad \| pakistan \| nr \| 3 \| west indies \| 26 february 1958 \| lost row 14 : 32 \| 114 \| colin cowdrey (1/2) \| england \| nr \| 1 \| west indies \| 17 february 1960 \| drawn row 15 : 33 \| 147 \| garfield sobers (2/5) \| west indies \| nr \| 2 \| england \| 17 february 1960 \| drawn row 16 : 41 \| 158 \| rohan kanhai (2/ \| west indies \| nr \| 3 \| india \| 18 february 1971 \| drawn row 17 : 42 \| 163 \| roy fredericks \| west indies \| nr \| 1 \| new zealand \| 16 february 1972 \| drawn row 18 : 45 \| 100 \| lawrence rowe (2/3) \| west indies \| nr \| 3 \| new zealand \| 16 february 1972 \| drawn row 19 : 46 \| 101 \| mark burgess \| new zealand \| nr \| 4 \| west indies \| 16 february 1972 \| drawn row 20 : 48 \| 142 \| keith stackpole \| australia \| nr \| 3 \| west indies \| 16 february 1973 \| drawn row 21 : 56 \| 153 \| graham gooch \| england \| 213 \| 1 \| west indies \| 10 april 1981 \| drawn row 22 : 58 \| 127 \| gordon greenidge (2/2) \| west indies \| 193 \| 2 \| australia \| 28 april 1984 \| won row 23 : 61 \| 156 \| richie richardson (1/3) \| west indies \| 314 \| 2 \| india \| 28 april 1989 \| won row 24 : 62 \| 110 \| viv richards \| west indies \| 178 \| 2 \| india \| 28 april 1989 \| won row 25 : 65 \| 104 \| richie richardson (2/3) \| west indies \| 233 \| 3 \| australia \| 1 may 1991 \| drawn ] Execute this SQL based on the above table: select team where score = ( select min ( score ) )	west indies
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select silver where id = ( select id where silver = 'silke knoll (ger)' ) + 1	tatyana alekseyeva (rus)
[ header: school \| conference \| record (conference) \| head coach \| cws appearances \| cws best finish \| cws record row 1 : arizona \| None \| 36-8 (n/a) \| frank sancet \| 4 (last: 1958) \| 2nd (1956) \| 7-8 row 2 : clemson \| acc \| 23 -6 (11-5, 0 \| bill wilhelm \| 1 (last: 1958) \| 5th (1958) \| 1-2 row 3 : colorado state \| None \| 24-5 (n/a) \| pete butler \| 5 (last: 1958) \| 5th (1955) \| 2-10 row 4 : connecticut \| None \| 20-1 (n/a) \| j. orlean christian \| 1 (last: 1957) \| 5th (1957) \| 1-2 row 5 : fresno state \| None \| 38-11 (n/a) \| pete beiden \| 0 (last: none) \| none \| 0-0 row 6 : oklahoma state \| big 8 \| 22-4 (17-3, 0 gb \| toby greene \| 2 (last: 1955) \| 3rd (1955) \| 5-4 row 7 : penn state \| None \| 15-4 (n/a) \| joe bedenk \| 2 (last: 1957) \| 2nd (1957) \| 5-4 row 8 : western michigan \| mac \| 24-7 (8-2, 0 gb \| charlie maher \| 3 (last: 1958) \| 2nd (1955) \| 7-6 ] Execute this SQL based on the above table: select cws best finish where head coach = 'frank sancet'	2nd (1956)
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1969 \| los angeles, u.s \| hard \| jim mcmanus \| pancho gonzales ron \| 3-6, 4-6 row 2 : runner-up \| 2 \| 1970 \| merion, u.s \| hard \| jim mcmanus \| william bowrey ray ruf \| 6-3, 2-6, 5-7 row 3 : winner \| 1 \| 1971 \| columbus, u.s \| hard \| jim mcmanus \| jimmy connors ros \| 4-6, 7-5, 6-2 row 4 : winner \| 2 \| 1971 \| merion, u.s \| hard \| clark graebner \| robert mckinley \| 7-6, 6-3 row 5 : winner \| 3 \| 1971 \| sacramento, u. \| hard \| jim mcmanus \| bob maud frew m \| 7-6, 6-3 row 6 : winner \| 4 \| 1972 \| los angeles, u.s \| outdoor \| jim mcmanus \| ilie nastase i \| 6-2, 5-7, 6-4 row 7 : winner \| 5 \| 1972 \| london/queen's club \| grass \| jim mcmanus \| jurgen fassbender karl me \| 4-6, 6-3, 7-5 row 8 : runner-up \| 3 \| 1972 \| tanglewood, u.s \| other \| jim mcmanus \| bob hewitt andrew \| 4-6, 4-6 ] Execute this SQL based on the above table: select distinct surface where surface in ( 'other' , 'hard' )	hard, other
[ header: date \| result \| opponent \| event \| location \| method \| round \| time row 1 : 2013-12-14 \| loss \| mohamed diaby \| victory, semi finals \| paris, france \| decision \| 3 \| 3:00 row 2 : 2013-03-09 \| None \| juanma chacon \| enfusion live: barcelona \| barcelona, spain \| None \| None \| None row 3 : 2012-05-27 \| loss \| murthel groenhart \| k-1 world max 2012 world championship tournament final \| madrid, spain \| ko (punches) \| 3 \| 3:00 row 4 : 2012-02-11 \| win \| francesco tadiello \| sporthal de zandbergen \| sint-job-in-'t- \| ko \| 1 \| None row 5 : 2012-01-28 \| win \| chris ngimbi \| it's showtime 2012 in leeu \| leeuwarden, netherlands \| tko (cut) \| 2 \| 1:22 row 6 : 2011-09-24 \| loss \| andy souwer \| bfn group & music hall presents \| brussels, belgium \| extra round decision (split) \| 4 \| 3:00 row 7 : 2011-04-09 \| win \| lahcen ait ouss \| le grande ko xi \| liege, belgium \| ko \| 1 \| None row 8 : 2011-02-12 \| win \| henri van opstal \| war of the ring \| amsterdam, netherlands \| decision (unanimous) \| 3 \| 3:00 row 9 : 2010-09-10 \| win \| edson fortes \| ring sensation gala \| utrecht, netherlands \| decision \| 3 \| 3:00 row 10 : 2010-03-21 \| loss \| mohamed khamal \| k-1 world max 2010 west europe tournament \| utrecht, netherlands \| ko (punch) \| 2 \| None row 11 : 2009-11-21 \| win \| seo doo won \| it's showtime 2009 barneveld \| barneveld, netherlands \| tko (referee stop \| 1 \| None row 12 : 2009-09-24 \| win \| chris ngimbi \| it's showtime 2009 lommel \| lommel, belgium \| extra round decision \| 4 \| 4:00 row 13 : 2009-04-11 \| win \| farid riffi \| almelo fight for delight \| almelo, netherlands \| tko \| None \| None row 14 : 2009-03-14 \| win \| viktor sarezki \| war of the ring \| belgium \| ko (punch to the body) \| 1 \| None row 15 : 2009-02-21 \| win \| pedro sedarous \| turnhout gala \| turnhout, belgium \| decision \| 5 \| 3:00 row 16 : 2009-01-31 \| win \| dahou naim \| tielrode gala \| tielrode, belgium \| 2nd extra round decision \| 5 \| 3:00 row 17 : 2008-09-20 \| win \| abdallah mabel \| s-cup europe 2008, reserve bout \| gorinchem, netherlands \| decision \| 3 \| 3:00 row 18 : 2008-09-14 \| win \| jordy sloof \| the outland rumble \| rotterdam, netherlands \| ko (right cross) \| 1 \| None row 19 : 2008-03-08 \| win \| naraim ruben \| lommel gala \| lommel, belgium \| tko (retirement) \| 3 \| None row 20 : 2008-02-23 \| win \| pierre petit \| st. job gala \| st. job, belgium \| ko (right punch) \| 2 \| None ] Execute this SQL based on the above table: select method order by time desc limit 1	extra round decision
[ header: year \| album \| song \| duration \| artist row 1 : 2010 \| trax mini album volume up \| "healing" \| None \| with trax row 2 : 2010 \| oh! \| "boys & girls" \| None \| with girls' generation row 3 : 2010 \| 1st asia tour "into the \| "barbie girl" \| None \| duet with jessica row 4 : 2012 \| history of salary man ost \| "bravo" \| 03:12 \| duet with leeteuk row 5 : 2012 \| one dream (single) \| "one dream" \| 02:29 \| with boa & henry row 6 : 2012 \| mama \| "two moons" \| 02:59 \| with exo row 7 : 2012 \| only one \| "one dream" \| 02:29 \| with boa & henry row 8 : 2014 \| toheart \| "delicious" \| None \| duet with woohyun from infinite ] Execute this SQL based on the above table: select artist order by song desc limit 1	with exo
[ header: wicket \| score \| batting partners \| opposition \| venue \| year \| link row 1 : 1st \| 375 \| ra white & mj po \| gloucestershire \| northampton \| 2002 \| row 2 : 2nd \| 344 \| g cook & rj boyd \| lancashire \| northampton \| 1986 \| row 3 : 3rd \| 393 \| a fordham & aj \| yorkshire \| leeds \| 1990 \| row 4 : 4th \| 370 \| rt virgin & p wille \| somerset \| northampton \| 1976 \| row 5 : 5th \| 401 \| mb loye & d \| glamorgan \| northampton \| 1998 \| row 6 : 6th \| 376 \| r subba row & a \| surrey \| the oval \| 1958 \| row 7 : 7th \| 293 \| djg sales & d \| essex \| northampton \| 1999 \| row 8 : 8th \| 179 \| aj hall & jd middle \| surrey \| the oval \| 2011 \| row 9 : 9th \| 156 \| r subba row & s \| lancashire \| northampton \| 1955 \| row 10 : 10th \| 148 \| bw bellamy & j \| glamorgan \| northampton \| 1925 \| ] Execute this SQL based on the above table: select count ( link ) where link = 552	0
[ header: party \| votes \| % \| seats \| +/- row 1 : liberal democratic league \| 164376 \| 28.2 \| 34 \| 8 row 2 : anti revolutionary party \| 143843 \| 24.7 \| 15 \| -7 row 3 : general league of roman catholic caucuses \| 76605 \| 13.1 \| 25 \| 0 row 4 : social democratic workers' party \| 65561 \| 11.2 \| 7 \| 0 row 5 : christian historicals \| 62770 \| 10.8 \| 8 \| -2 row 6 : free-thinking democratic league \| 51595 \| 8.8 \| 11 \| 2 row 7 : other parties \| 18638 \| 3.2 \| 0 \| -1 row 8 : invalid/blank votes \| None \| None \| None \| None row 9 : total \| 583388 \| 100 \| 100 \| 0 row 10 : registered voters/turnout \| 752692 \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where party = 'liberal democratic league'	1
[ header: institution \| location \| founded \| type \| enrollment \| joined \| nickname row 1 : bryan college \| dayton, tennessee \| 1930 \| private (non-denominational) \| 1044 \| 2001 \| lions row 2 : columbia college \| columbia, south carolina \| 1854 \| private (methodist) \| 1200 \| 2011 \| fighting koalas row 3 : milligan college \| elizabethton, \| 1866 \| private (disciples of christ) \| 1006 \| 2001 \| buffaloes row 4 : montreat college \| montreat, north carolina \| 1916 \| private (presbyterian) \| 1145 \| 2001 \| cavaliers row 5 : point university \| west point, georgia \| 1937 \| private (christian churches and churches of \| 1000 \| 2011 \| skyhawks row 6 : reinhardt university \| waleska, georgia \| 1883 \| private (methodist) \| 1057 \| 2009 \| eagles row 7 : st. andrews university \| laurinburg, north carolina \| 1958 \| private \| 800 \| 2012 \| knights row 8 : savannah college of art and design \| atlanta, georgia \| 2005 \| private \| 2000 \| 2012 \| bees row 9 : tennessee wesleyan college \| athens, tennessee \| 1857 \| private (methodist) \| 1103 \| 2001 \| bulldogs row 10 : truett-mcconnell college \| cleveland, georgia \| 1946 \| private/christian (baptist) \| 550 \| 2013 \| bears row 11 : union college \| barbourville, kentucky \| 1879 \| private/christian (methodist) \| 1368 \| 2001 \| bulldogs row 12 : virginia intermont college \| bristol, virginia \| 1884 \| private/christian (baptist) \| 916 \| 2001 \| cobras ] Execute this SQL based on the above table: select count ( * ) where institution = '2012'	0
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 1 \| may 27, 1956 \| dallas centennial open \| -12 (64-67-70-67 \| 1 stroke \| dow finsterwald, doug for row 2 : 2 \| feb 21, 1960 \| tucson open invitational \| -9 (67-67-68-69 \| 3 strokes \| bob harris row 3 : 3 \| jul 9, 1961 \| st. paul open invitational \| -19 (66-71-68-64=26 \| 1 stroke \| buster cupit row 4 : 4 \| feb 17, 1963 \| tucson open invitational \| -22 (65-67-69-65 \| 11 strokes \| gene littler, phil rodgers row 5 : 5 \| aug 28, 1966 \| philadelphia golf classic \| -10 (69-69-68-71 \| 1 stroke \| jack nicklaus row 6 : 6 \| jul 24, 1967 \| pga championship \| -7 (71-72-70-68 \| playoff \| don massengale row 7 : 7 \| apr 21, 1968 \| tournament of champions \| -8 (70-68-69-69 \| 1 stroke \| julius boros row 8 : 8 \| mar 23, 1970 \| greater jacksonville open \| -9 (68-75-70-66=27 \| playoff \| dale douglass row 9 : 9 \| oct 19, 1975 \| san antonio tex \| -13 (71-67-71-66 \| playoff \| larry hinson row 10 : 10 \| apr 18, 1976 \| mony tournament of champions \| -11 (71-68-69-69 \| 5 strokes \| hubert green ] Execute this SQL based on the above table: select tournament where id = ( select id where tournament = 'philadelphia golf classic' ) + 1	pga championship
[ header: tenure \| coach \| years \| record \| pct. \| ncaa tournament row 1 : 1933 \| sam mcallister \| 1 \| 5-4-0 \| 0.556 \| None row 2 : 1934 \| herschel bobo \| 1 \| None \| None \| None row 3 : 1934-1939 \| del morgan \| 6 \| None \| None \| None row 4 : 1940 \| porter grant \| 1 \| 4-5-0 \| 0.444 \| None row 5 : 1941-1942 \| jimmy hitchcock \| 2 \| None \| None \| None row 6 : 1943-1946 \| bob evans \| 2 \| None \| None \| None row 7 : 1947-1948 \| danny doyle \| 2 \| None \| None \| None row 8 : 1949-1950 \| johnny williamson \| 2 \| 21-23-0 \| 0.477 \| None row 9 : 1951-1957 \| dick mcgowen \| 7 \| 90-76-2 \| 0.548 \| None row 10 : 1958 \| joe connally \| 1 \| 17-8-0 \| 0.68 \| None row 11 : 1959-1962 \| erk russell \| 4 \| 59-37-1 \| 0.62 \| None row 12 : 1963-1984 \| paul nix \| 22 \| 515-376-0 \| 0.578 \| 4 row 13 : 1985-2000 \| hal baird \| 16 \| 634-328-0 \| 0.659 \| 9 row 14 : 2001-2004 \| steve renfroe \| 4 \| 145-92-0 \| 0.612 \| 3 row 15 : 2005-2008 \| tom slater \| 4 \| 115-113-0 \| 0.504 \| 1 row 16 : 2009-2013 \| john pawlowski \| 5 \| 167-126 \| 0.57 \| 1 row 17 : 2014-present \| sunny golloway \| 1 \| 17-8-0 \| 0.68 \| 0 row 18 : totals \| 16 coaches \| 81 \| None \| None \| 18 ] Execute this SQL based on the above table: select pct. where ncaa tournament = 9	0.659
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select count ( * ) where tv network(s) = 1	0
[ header: issue \| volume \| title \| main feature story \| first/early appearance story/stories \| release date row 1 : 1 \| 24 \| the avengers \| ultron unlimited (avengers vol \| the coming of the avengers ( \| 27 dec 2013 row 2 : 2 \| 12 \| spider-man \| happy birthday (amazing spider-man vol \| spider-man (amazing fantasy #15) \| 15 jan 2014 row 3 : 3 \| 55 \| wolverine \| get mystique (wolverine \| and now... the wolverine (in \| 29 jan 2014 row 4 : 4 \| 29 \| hawkeye \| hawkeye (hawkeye vol.1 #1 \| hawkeye, the marskman (tale \| 12 feb 2014 row 5 : 5 \| 10 \| the hulk \| dogs of war (the incredible hulk \| none \| 26 feb 2014 row 6 : 6 \| 22 \| jean grey \| here comes yesterday (all-new x- \| x-men origins: jean grey \| 12 mar 2014 row 7 : 7 \| 49 \| power man \| power man and iron fist #50- \| luke cage #1-3 \| 26 mar 2014 row 8 : 8 \| tbc \| captain america \| captain america #247-255 \| None \| 9 apr 2014 row 9 : 9 \| tbc \| iron man \| the five nightmares (iron man (vol. \| tales of suspense #39 \| 23 apr 2014 row 10 : 10 \| tbc \| the x-men \| x-men: children of the atom \| x-men (vol. 1) #1 \| 7 may 2014 row 11 : 11 \| tbc \| black widow \| tbc \| tbc \| 21 may 2014 row 12 : 12 \| tbc \| the human torch (jim hammond) \| tbc \| tbc \| 4 june 2014 row 13 : 13 \| tbc \| warriors three \| tbc \| tbc \| 18 june 2014 row 14 : 14 \| tbc \| cyclops \| tbc \| tbc \| 2 july 2014 row 15 : 15 \| tbc \| captain marvel \| tbc \| tbc \| 16 july 2014 ] Execute this SQL based on the above table: select count ( * ) where first/early appearance story/stories = 'x-men origins: jean grey'	1
[ header: year \| game of the year \| abstract strategy \| advanced strategy \| family \| family card \| family strategy \| party \| puzzle \| word \| historical simulation \| other row 1 : 1992 \| pipeline \| terrace \| None \| showdown yahtzee \| arcade: super tetris \| real-life strategy: d-day \| humm...ble \| heaven & earth \| wordsters \| adventure: the lost files of sherlock \| trivia: times to remember row 2 : 1993 \| inklings \| char \| None \| perpetual notion \| arcade: ecco the dolphin \| real-life: civilization \| oodles \| the incredible machine \| pick two! \| adventure: return to zork \| trivia: celebrity challenge row 3 : 1994 \| myst \| the game of y \| wargames: v for victory \| peg poker \| arcade: lode runner: the legend returns \| real-life strategy: x-com: \| the doonesbury game \| breakthru! \| boggle master \| adventure: the elder scrolls: arena \| trivia: quote unquote row 4 : 1995 \| sharp shooters \| strategy: quixo \| conflict: colonial diplomacy \| touche \| phantoms of the ice \| sports: dynasty league baseball \| catch phrase \| lights out \| pre.fix \| adventure & role playing: dragon dice: battle \| trivia: chronicles ccg: on row 5 : 1997 \| 25 words or less \| transpose \| strategy & conflict: field command \| mole in the hole \| take 6 \| priceless \| last chance \| deluxe lights out \| bethump'd with words \| adventure & role-playing: dragonl \| trivia: origins row 6 : 1998 \| quoridor \| balanx \| strategy & conflict: princess ryan' \| take it easy \| get the goods \| quandary \| wise and otherwise \| lost in a jigsaw \| a to z \| None \| trivia: director's cut ccg row 7 : 1999 \| fossil \| gipf \| conflict: atlantic storm \| montgolfiere \| bohnanza \| el grande \| say when!! \| stormy seas \| alpha blitz \| None \| trivia: where in time is carmen s row 8 : 2000 \| torres \| octi \| memory: mamma mia \| moonshot \| buried treasure \| tikal \| apples to apples \| ricochet robot \| double quick! \| None \| trivia: bioviva ccg: row 9 : 2001 \| aladdin's dragons \| zertz \| the princes of florence \| cafe international \| hellrail \| web of power \| democrazy \| lunar lockout \| None \| paths of glory \| two-player card: caesar row 10 : 2002 \| evo \| morisi \| java \| africa \| babel \| lord of the rings \| hilarium \| flip-it! \| my word! \| drive on paris \| manual dexterity: space game row 11 : 2004 \| new england \| clans \| wildlife \| i'm the boss! \| queen's necklace \| zoosim \| party/trivia: dibs \| river crossing \| crossword pyramids \| hammer of the scots \| two-player card: balloon cup row 12 : 2005 \| buyword \| yinsh \| tahuantinsuy \| vanished planet \| victory & honor \| alexandros \| party/trivia: cranium ho \| None \| None \| memoir '44 \| None ] Execute this SQL based on the above table: select count ( party ) where game of the year = 'ricochet robot'	0
[ header: election \| number of popular votes \| % of popular votes \| total elected seats \| +/- row 1 : 1988 \| 139982 \| 22.16 \| 61 / 264 \| None row 2 : 1991 \| 170757 \| 32.11 \| 83 / 272 \| 22 row 3 : 1994 \| 242557 \| 35.34 \| 121 / 346 \| 38 row 4 : 1999 \| 271251 \| 33.45 \| 122 / 390 \| 1 row 5 : 2003 \| 459640 \| 44.67 \| 194 / 400 \| 72 row 6 : 2007 \| 445781 \| 39.15 \| 127 / 405 \| 30 row 7 : 2011 \| 464512 \| 39.34 \| 103 / 412 \| 18 ] Execute this SQL based on the above table: select abs ( ( select % of popular votes where total elected seats = '194 / 400' ) - ( select % of popular votes where total elected seats = '127 / 405' ) )	5.520000000000003
[ header: round \| pick \| player \| position \| nationality \| team \| college row 1 : t \| None \| wilt chamberlain \| c \| united states \| philadelphia warriors \| kansas row 2 : t \| None \| bob ferry \| f/c \| united states \| st. louis hawks \| saint louis row 3 : 1 \| 1 \| bob boozer \| f \| united states \| cincinnati royals \| kansas state row 4 : 1 \| 2 \| bailey howell \| f \| united states \| detroit pistons \| mississippi state row 5 : 1 \| 3 \| tom hawkins \| f \| united states \| minneapolis lakers \| notre dame row 6 : 1 \| 5 \| johnny green \| f/c \| united states \| new york knicks \| michigan state row 7 : 1 \| 6 \| john richter \| f \| united states \| boston celtics \| nc state row 8 : 2 \| 7 \| tom robitaille \| f/c \| united states \| detroit pistons (from cincin \| rice row 9 : 2 \| 8 \| don goldstein \| f \| united states \| detroit pistons \| louisville row 10 : 2 \| 9 \| joe ruklick \| f/c \| united states \| philadelphia warriors \| northwestern row 11 : 2 \| 10 \| rudy larusso \| f/c \| united states \| minneapolis lakers \| dartmouth row 12 : 2 \| 11 \| bumper tormohlen \| f/c \| united states \| syracuse nationals \| tennessee row 13 : 2 \| 12 \| al seiden \| g \| united states \| st. louis hawks ( \| st. john's row 14 : 2 \| 13 \| cal ramsey \| f \| united states \| st. louis hawks \| nyu row 15 : 2 \| 14 \| gene guarilia \| f \| united states \| boston celtics \| george washington row 16 : 3 \| 16 \| gary alcorn \| c \| united states \| detroit pistons \| fresno state row 17 : 3 \| 17 \| jim hockaday \| f \| united states \| philadelphia warriors \| memphis row 18 : 3 \| 18 \| bobby smith \| g \| united states \| minneapolis lakers \| west virginia row 19 : 3 \| 19 \| jon cincebox \| f \| united states \| syracuse nationals \| syracuse row 20 : 3 \| 20 \| bob anderegg \| g/f \| united states \| new york knicks \| michigan state row 21 : 3 \| 21 \| hank stein \| g \| united states \| st. louis hawks \| xavier row 22 : 3 \| 22 \| ralph crosthwaite \| c \| united states \| boston celtics \| western kentucky row 23 : 4 \| 23 \| leo byrd \| g \| united states \| cincinnati royals \| marshall row 24 : 4 \| 24 \| george lee \| g/f \| united states \| detroit pistons \| michigan row 25 : 4 \| 25 \| ron stevenson \| f \| united states \| philadelphia warriors \| tcu row 26 : 4 \| 26 \| wilson eison \| f \| united states \| minneapolis lakers \| purdue row 27 : 4 \| 27 \| paul neumann \| g \| united states \| syracuse nationals \| stanford row 28 : 4 \| 28 \| johnny cox \| g \| united states \| new york knicks \| kentucky row 29 : 5 \| 31 \| harry kirchner \| g/f \| united states \| detroit pistons \| tcu ] Execute this SQL based on the above table: select player where college = 'marshall'	leo byrd
[ header: title \| album details \| peak chart positions us \| peak chart positions us r&b \| certifications row 1 : can-i-bus \| released: september 8, 1998 label: universal format \| 2 \| 2 \| riaa: gold row 2 : 2000 b.c. (before can- \| released: july 18, 2000 label: universal \| 23 \| 6 \| None row 3 : c! true hollywood stories \| released: november 13, 2001 label: archives \| None \| 71 \| None row 4 : mic club: the curriculum \| released: november 19, 2002 label: mic \| None \| None \| None row 5 : rip the jacker \| released: july 22, 2003 label: baby \| 194 \| 34 \| None row 6 : mind control \| released: june 21, 2005 label: to \| None \| 79 \| None row 7 : hip-hop for sale \| released: november 22, 2005 label: baby \| None \| None \| None row 8 : for whom the beat tolls \| released: june 5, 2007 label: mic \| None \| None \| None row 9 : melatonin magik \| released: february 2, 2010 label: war \| None \| 91 \| None row 10 : c of tranquility \| released: october 5, 2010 label \| None \| 70 \| None row 11 : lyrical law \| released: june 24, 2011 label: can \| None \| None \| None ] Execute this SQL based on the above table: select title order by peak chart positions us asc limit 1	c! true hollywood stories
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "a dream" \| l. lynn, w \| will.i.am \| common, will.i.am row 2 : 2 \| "listen!!!" \| t.k. greene, k \| kwame \| talib kweli row 3 : 3 \| "it's r time [lenky \| j. ortega, v. \| None \| jeannie ortega row 4 : 4 \| "when the ship goes down (dia \| l. freese, l. \| dj muggs \| cypress hill row 5 : 5 \| "hip hop hooray" \| v. brown, a. cri \| naughty by nature \| naughty by nature row 6 : 6 \| "keep ya head up" \| t. shakur, d \| dj daryl \| 2pac row 7 : 7 \| "code of the streets" \| k. elam, c \| dj premier \| gang starr row 8 : 8 \| "rebirth of slick (cool like \| i. butler, c. \| butterfly \| digable planets row 9 : 9 \| "officer" \| t. hardson, j. mar \| j-swift \| the pharcyde row 10 : 10 \| "this is how we do it" \| m. jordan, o. \| montell jordan, oji pier \| montell jordan row 11 : 11 \| "colors" \| w. adams \| will.i.am \| will.i.am row 12 : 12 \| "bus ride" \| w. adams \| will.i.am \| will.i.am row 13 : 13 \| "riots" \| m. isham, w. \| None \| mark isham, miri ben-ari row 14 : 14 \| "eva's theme" \| m. isham \| None \| mark isham row 15 : 15 \| "anne frank" \| m. isham \| None \| mark isham, miri ben-ari ] Execute this SQL based on the above table: select title where producer(s) = 'will.i.am'	"a dream", "colors", "bus ride"
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select count ( director )	33
[ header: year \| competition \| venue \| position \| notes row 1 : 1997 \| european u23 championships \| turku, finland \| 1st \| 200 m row 2 : 1997 \| world championships \| athens, greece \| 3rd \| 4x100m relay row 3 : 1998 \| european championships \| budapest, hungary \| 3rd \| 200 metres row 4 : 1998 \| european championships \| budapest, hungary \| 1st \| 4x100m relay row 5 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 1st \| 200 metres row 6 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 1st \| 4x100m relay row 7 : 2000 \| european indoor championships \| ghent, belgium \| 3rd \| 200 metres ] Execute this SQL based on the above table: select count ( venue ) where competition = 'turku, finland'	0
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select title where peak chart positions us country < 9 order by peak chart positions us country desc limit 1	"hey joe"
[ header: released \| video title \| company \| director \| notes row 1 : 2004-09-18 (vhs) 2004 \| tawawana 18-sai \| crystal-eizou venus vf \| yukihiko shimam \| av debut row 2 : 2004-11-26 \| big bust evolution shoko goto 爆乳進化論 \| crystal-eizou venus vf \| None \| None row 3 : 2004-12-17 \| menyu shoko goto 女乳 \| crystal-eizou venus vf \| None \| None row 4 : 2005-01-28 \| busty private teacher shoko goto \| crystal-eizou grace grdv- \| None \| None row 5 : 2005-02-25 \| a-grade tits shoko got \| crystal-eizou grace grdv- \| None \| None row 6 : 2005-02-26 (vhs) \| the costume play maid, shoko goto \| crystal-eizou venus vf \| yukihiko shimam \| None row 7 : 2005-04-29 \| perverted desire shoko goto 変態志願 \| crystal-eizou venus vf \| None \| None row 8 : 2005-05-27 \| fetish world 変態志願 \| crystal-eizou grace grdv- \| None \| with marina matsushima row 9 : 2005-06-24 \| gogo shameless young lady gogoハレンチ娘 \| crystal-eizou grace grdv-01 \| None \| None row 10 : 2005-12-23 \| super re-mix collection the best shoko \| crystal-eizou mmc m \| None \| compilation ] Execute this SQL based on the above table: select released where released in ( '2005-05-27' , '2005-06-24' ) order by director desc limit 1	2005-05-27
[ header: date \| opponent# \| rank# \| site \| result \| attendance \| record row 1 : 11/26/1985 \| vs. loyola (chi \| #7 \| assembly hall • champaign, il \| w 95-64 \| 13143 \| 1-0 row 2 : 11/29/1985 \| vs. #13 oklahom \| #7 \| kaneohe armory • hon \| l 57-59 \| 300 \| 2-1 row 3 : 12/4/1985 \| vs. wisconsin-green \| #12 \| assembly hall • champaign, il \| w 84-34 \| 13417 \| 3-1 row 4 : 12/7/1985 \| vs. utah state \| #12 \| assembly hall • champaign (illini classic \| w 115-64 \| 13980 \| 5-1 row 5 : 12/10/1985 \| vs. tennessee \| #10 \| mabee center • tulsa, \| l 51-54 \| 12700 \| 5-2 row 6 : 12/14/1985 \| vs. houston \| #10 \| assembly hall • champaign, il \| w 102-92 \| 15564 \| 6-2 row 7 : 12/23/1985 \| vs. howard \| #15 \| assembly hall • champaign, il \| w 67-55 \| 10043 \| 8-2 row 8 : 12/30/1985 \| vs. iowa state \| #16 \| rosemont horizon • rosemont, il \| w 64-62 \| 9876 \| 9-2 row 9 : 1/2/1986 \| vs. minnesota \| #14 \| assembly hall • champaign, il \| w 76-57 \| 13329 \| 10-2 (1-0) row 10 : 1/4/1986 \| vs. iowa \| #14 \| assembly hall • champaign, il \| l 59-60 \| 16676 \| 10-3 (1-1) row 11 : 1/8/1986 \| @ #2 michigan \| #18 \| crisler arena • ann arbor, \| l 59-61 \| 13609 \| 10-4 (1-2) row 12 : 1/16/1986 \| vs. wisconsin \| #nr \| assembly hall • champaign, il \| w 73-54 \| 12829 \| 11-5 (2-3) row 13 : 1/18/1986 \| vs. northwestern \| #nr \| assembly hall • champaign, il \| w 72-46 \| 13891 \| 12-5 (3-3) row 14 : 1/23/1986 \| @ ohio state \| #nr \| st. john arena • colum \| w 67-65 \| 13071 \| 13-5 (4-3) row 15 : 2/8/1986 \| vs. michigan \| #nr \| assembly hall • champaign, il \| w 83-79 ot \| 16353 \| 15-7 (6-5) row 16 : 2/13/1986 \| @ northwestern \| #nr \| welsh-ryan arena • \| w 75-52 \| 8117 \| 16-7 (7-5) row 17 : 2/15/1986 \| @ wisconsin \| #nr \| wisconsin field house • madison \| w 82-74 \| 10605 \| 17-7 (8-5) row 18 : 2/20/1986 \| vs. #15 indiana \| #nr \| assembly hall • champaign, il \| l 60-61 \| 16349 \| 17-8 (8-6) row 19 : 2/22/1986 \| vs. ohio state \| #nr \| assembly hall • champaign, il \| w 66-62 \| 16376 \| 18-8 (8-7) row 20 : 3/1/1986 \| @ #4 georgia tech \| #12 \| alexander memorial coliseum • \| w 59-57 \| 15148 \| 20-8 ] Execute this SQL based on the above table: select count ( result ) where attendance = 12700	1
[ header: ranking \| company \| industry \| revenue (usd billions) \| fy \| capitalization (usd billions) \| employees \| listing \| headquarters \| ceo row 1 : 1 \| wal-mart stores, inc \| retail \| $469 \| january 31, 2013 \| $248 \| 2200000 \| nyse: wmt \| bentonville, arkansas \| doug mcmillon row 2 : 3 \| exxon mobil corporation \| oil and gas \| $453 \| december 31, 2012 \| $406 \| 76900 \| nyse: xom \| irving, texas \| rex w. tillerson row 3 : 4 \| china national petroleum corporation \| oil and gas \| $425 \| december 31, 2012 \| None \| 1668072 \| None \| beijing \| zhou jiping row 4 : 10 \| samsung \| conglomerate \| $268 \| december 31, 2014 \| None \| 427000 \| krx: 005930; \| samsung town \| lee kun-hee row 5 : 12 \| chevron \| oil and gas \| $242 \| december 31, 2012 \| $211 \| 61000 \| nyse: cvx \| san ramon, califor \| john watson row 6 : 13 \| total \| oil and gas \| $240 \| december 31, 2013 \| $120 \| 111000 \| euronext: fp \| courbevoie \| christophe de margerie row 7 : 20 \| eni \| oil and gas \| $167 \| december 31, 2012 \| $94 \| 78000 \| bit: eni \| rome \| paolo scaroni row 8 : 21 \| gazprom \| oil and gas \| $164 \| december 31, 2012 \| $145 \| 432000 \| mcx: gazp \| moscow \| alexei miller row 9 : 22 \| berkshire hathaway \| conglomerate \| $162 \| december 31, 2012 \| $201 \| 217000 \| nyse: brka; \| omaha, nebra \| warren buffett row 10 : 23 \| general motors \| automotive \| $152 \| december 31, 2012 \| $40 \| 284000 \| nyse: gm \| detroit, michigan \| daniel akerson row 11 : 27 \| petrobras \| oil and gas \| $144 \| december 31, 2012 \| $171 \| 81000 \| bovespa: petr3; bove \| rio de janeiro \| maria das gracas foster row 12 : 29 \| valero energy \| oil and gas \| $139 \| december 31, 2012 \| $16 \| 22000 \| nyse: vlo \| san antonio, \| william r. klesse row 13 : 30 \| lukoil \| oil and gas \| $139 \| december 31, 2012 \| $51 \| 120000 \| mcx: lkoh \| moscow \| vagit alekperov row 14 : 35 \| statoil \| oil and gas \| $130 \| december 31, 2012 \| $86 \| 23000 \| ose: stl \| stavanger \| helge lund row 15 : 36 \| gdf suez \| electricity and gas utility \| $128 \| december 31, 2012 \| $58 \| 161000 \| euronext: sze \| paris \| gerard mestrallet row 16 : 38 \| pemex \| oil and gas \| $127 \| december 31, 2012 \| None \| 138000 \| None \| mexico city \| juan jose suarez c row 17 : 40 \| cvs caremark \| retail \| $123 \| december 31, 2012 \| $59 \| 202000 \| nyse: cvs \| woonsocket, rh \| larry j. merlo ] Execute this SQL based on the above table: select revenue (usd billions) where id = 12	$242
[ 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 type where type = '1/2.3" (pentax q) (sony cyber-shot dsc-w330)(gopro hero 3) (panasonic hx-a500)'	1/2.3" (pentax q) (sony cyber-shot dsc-w330)(gopro hero 3) (panasonic hx-a500)
[ header: \| wine \| rank \| beer \| rank \| spirits \| rank \| total \| rank↓ row 1 : yukon \| 18.3 \| 1 \| 90.6 \| 1 \| 13.8 \| 1 \| 12.7 \| 1 row 2 : northwest territories \| 8.1 \| 7 \| 55.2 \| 5 \| 10.8 \| 2 \| 9.2 \| 2 row 3 : alberta \| 13.9 \| 4 \| 89.8 \| 4 \| 7.6 \| 9 \| 8.6 \| 3 row 4 : newfoundland & labrador \| 6.5 \| 11 \| 93.3 \| 3 \| 7.3 \| 10 \| 8 \| 4 row 5 : british columbia \| 14.5 \| 3 \| 76.6 \| 12 \| 9 \| 7 \| 7.8 \| 5 row 6 : ontario \| 11.8 \| 5 \| 84.3 \| 6 \| 8.8 \| 8 \| 7.8 \| 6 row 7 : quebec \| 17.4 \| 2 \| 93.9 \| 2 \| 4.1 \| 12 \| 7.8 \| 7 row 8 : prince edward island \| 7.4 \| 10 \| 78.9 \| 9 \| 9.7 \| 3 \| 7.5 \| 8 row 9 : nova scotia \| 8 \| 8 \| 79.5 \| 8 \| 9.1 \| 5 \| 7.5 \| 9 row 10 : manitoba \| 8 \| 9 \| 76.8 \| 10 \| 9.4 \| 4 \| 7.4 \| 10 row 11 : saskatchewan \| 5 \| 12 \| 76.8 \| 11 \| 9.1 \| 6 \| 7 \| 11 row 12 : new brunswick \| 8.4 \| 6 \| 79.8 \| 7 \| 6.8 \| 11 \| 6.7 \| 12 row 13 : nunavut \| None \| None \| None \| None \| None \| None \| None \| None row 14 : canada \| 13.1 \| None \| 85.6 \| None \| 7.5 \| None \| 7.8 \| None ] Execute this SQL based on the above table: select count ( ) where = 'manitoba'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| france \| 1 \| 3 \| 0 \| 4 row 2 : 2 \| england \| 1 \| 2 \| 1 \| 4 row 3 : 3 \| ireland \| 1 \| 1 \| 0 \| 2 row 4 : 3 \| sweden \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| belgium \| 1 \| 0 \| 2 \| 3 row 6 : 6 \| hungary \| 1 \| 0 \| 0 \| 1 row 7 : 6 \| netherlands \| 1 \| 0 \| 0 \| 1 row 8 : 6 \| spain \| 1 \| 0 \| 0 \| 1 row 9 : 9 \| scotland \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| czechoslovakia \| 0 \| 0 \| 2 \| 2 row 11 : 10 \| italy \| 0 \| 0 \| 2 \| 2 row 12 : 12 \| denmark \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'scotland' ) + 1	czechoslovakia
[ header: year \| title \| uk \| us: billboard hot 100 \| us: billboard r&b \| us: billboard a/c \| australia \| various row 1 : 1976 \| "right back where we started from" \| ('75) #8 \| #2 \| #46 \| #5 \| #4 \| #3 (netherlands), #2 (belg row 2 : 1976 \| "gotta be the one" \| None \| #53 \| None \| #22 \| #12 \| #19 (new zealand) row 3 : 1977 \| "love hit me" \| #11 \| None \| None \| None \| #22 \| None row 4 : 1977 \| "will you be my lover" \| None \| None \| None \| None \| None \| #44 (france) row 5 : 1979 \| "lead me on" \| None \| #5 \| #37 \| #1 \| #58 \| #2 (canada), #8 (new row 6 : 1979 \| "(bringin' out) the girl \| None \| #73 \| None \| None \| None \| None row 7 : 1982 \| "turn to me" (with jim \| None \| None \| #17 \| None \| None \| None ] Execute this SQL based on the above table: select count ( various ) where various = 'None'	0
[ header: song \| artists \| release \| year \| notes row 1 : "all of you" \| riz mc, aruba red, \| microscope \| 2012 \| original 2011 recording does not feature plan b row 2 : "atomic" \| labrinth, plan b \| atomic \| 2013 \| None row 3 : "before i die" (remix) \| professor green, narstie, \| "before i die" \| 2006 \| None row 4 : "bring it back" \| juse, j.b., \| global casino \| 2006 \| None row 5 : "broken wings" \| mc purple, doctor, plan b \| eye of the tiger, vol. 1 \| 2005 \| None row 6 : "end credits" \| chase & status, plan b \| no more idols \| 2011 \| None row 7 : "everyday" (rusher remix) \| shameless, example, plan b \| "everyday (in a broken dream \| 2007 \| None row 8 : "fool yourself" \| chase & status, plan b, \| no more idols \| 2011 \| None row 9 : "harry" (plan b remix) \| medison, skrein, \| "harry" \| 2010 \| None row 10 : "how's it feel" \| skrein, wyt \| the eat up \| 2007 \| also appears on it's time 4 plan row 11 : "i wanna get next to you" ( \| danielle senior, plan b, \| "take you home" \| 2006 \| None row 12 : "last dayz" \| skreintax, plan b \| "scene stealers" \| 2009 \| None row 13 : "makin' love 2 hip hop" \| plan b, skrein, \| sharpest tool in the box \| 2007 \| None row 14 : "maybe" \| skrein, shameless, plan \| bless: the mixtape \| 2007 \| None row 15 : "more is enough" \| epic man, plan b \| "more is enough" \| 2006 \| also appears as bonus track on australian release of row 16 : "my eyes" \| shameless, tb, plan b \| bless: the mixtape \| 2007 \| None row 17 : "no hats no trainers" \| shameless, plan b \| smokers die younger \| 2007 \| None row 18 : "on it 08" \| adam deacon, plan b \| adulthood \| 2008 \| None row 19 : "past that" \| shameless, plan b \| above board \| 2006 \| None row 20 : "pieces" \| chase & status, plan b \| more than alot \| 2008 \| None row 21 : "play ur position" \| juse, conspicuous, ane \| global casino \| 2006 \| None row 22 : "polarised nation" \| carly bond, ripper, hitman \| eye of the tiger, vol. 1 \| 2005 \| None row 23 : "reveal your inner self" (plan \| killa kela, plan b \| "reveal your inner self" \| 2007 \| None row 24 : "shifty" \| riz mc, sway, \| shifty \| 2009 \| None row 25 : "shots echo" \| the mitchell brothers, plan b, \| dressed for the occasion \| 2007 \| None ] Execute this SQL based on the above table: select artists where id = ( select id where artists = 'skrein, wyt-fang, plan b' ) - 1	medison, skrein, plan b
[ header: year \| national champion \| score \| runner-up \| host or site row 1 : 2001 \| ucla \| 5-4 \| stanford \| stanford university, avery aquatic center row 2 : 2002 \| stanford \| 8-4 \| ucla \| usc, mcdonald' row 3 : 2003 \| ucla (2) \| 4-3 \| stanford \| uc san diego, canyon row 4 : 2004 \| usc \| 10-8 \| loyola marymount \| stanford university, avery aquatic center row 5 : 2005 \| ucla (3) \| 3-2 \| stanford \| university of michigan, canham nat row 6 : 2006 \| ucla (4) \| 9-8 \| usc \| uc davis, schaal row 7 : 2007 \| ucla (5) \| 5-4 \| stanford \| long beach state, joint forces training base, los row 8 : 2008 \| ucla (6) \| 6-3 \| usc \| stanford university, avery aquatic center row 9 : 2009 \| ucla (7) \| 5-4 \| usc \| university of maryland, eppley recreation row 10 : 2010 \| usc (2) \| 10-9 \| stanford \| san diego state, az row 11 : 2011 \| stanford (2) \| 9-5 \| california \| university of michigan, canham nat row 12 : 2012 \| stanford (3) \| 6-4 \| usc \| san diego state, az row 13 : 2013 \| usc (3) \| 10-9 5ot \| stanford \| harvard university, blodget row 14 : 2014 \| None \| None \| None \| usc, uytengsu ] Execute this SQL based on the above table: select count ( * ) where host or site = 'uc davis, schaal aquatics center, davis, california' and score = 795	0
[ header: seed \| school \| conf (overall) \| tiebreaker row 1 : #1 \| georgetown \| 14-4 (24-5) \| 2-1 vs. louisville/ row 2 : #2 \| louisville \| 14-4 (26-5) \| 1-1 vs. georgetown row 3 : #3 \| marquette \| 14-4 (23-7) \| 1-2 vs. georgetown row 4 : #4 \| pittsburgh \| 12-6 (24-7) \| None row 5 : #5 \| syracuse \| 11-7 (23-8) \| 1-0 vs. notre dame row 6 : #6 \| notre dame \| 11-7 (23-8) \| 0-1 vs. sy row 7 : #7 \| villanova \| 10-8 (19-12) \| None row 8 : #8 \| providence \| 9-9 (17-13) \| 1-0 vs. cincinnati row 9 : #9 \| cincinnati \| 9-9 (21-10) \| 0-1 vs. providence row 10 : #10 \| st. john's \| 8-10 (16-14) \| None row 11 : #11 \| rutgers \| 5-13 (14-15) \| None row 12 : #12 \| seton hall \| 3-15 (14-17) \| 1-0 vs. south florida row 13 : #13 \| south florida \| 3-15 (12-18) \| 0-1 vs. seton hall row 14 : #14 \| depaul \| 2-16 (11-20) \| None ] Execute this SQL based on the above table: select count ( * ) where conf (overall) = '11-7 (23-8)'	2
[ header: result \| record \| opponent \| method \| date \| round \| location row 1 : loss \| 31-3-0 \| j.h. isbell \| ko \| 1934 mar 31 \| 2 \| cambridge, massachusetts row 2 : loss \| 31-2-0 \| "modest" bill smith \| ko \| 1934 feb 27 \| 2 \| cambridge, massachusetts row 3 : win \| 31-1-0 \| frankie hagen \| ko \| 1934 feb 24 \| 1 \| cambridge, massachusetts row 4 : win \| 30-1-0 \| harry gardner \| ko \| 1934 feb 21 \| 1 \| cambridge, massachusetts row 5 : win \| 29-1-0 \| sid stoneman \| ko \| 1934 feb 14 \| 1 \| cambridge, massachusetts row 6 : win \| 28-1-0 \| frankie hagan \| pts \| 1934 jan 30 \| 3 \| cambridge, massachusetts row 7 : win \| 27-1-0 \| basil barnett \| ko \| 1934 jan 24 \| 2 \| cambridge, massachusetts row 8 : win \| 25-1-0 \| bob delmont \| ko \| 1934 jan 07 \| 1 \| cambridge, massachusetts row 9 : loss \| 24-1-0 \| brad simmons \| ko \| 1934 jan 01 \| 1 \| cambridge, massachusetts row 10 : win \| 24-0-0 \| herman zeinman \| ko \| 1933 \| 1 \| cambridge, massachusetts row 11 : win \| 23-0-0 \| william beltran \| ko \| 1933 \| 1 \| cambridge, massachusetts row 12 : win \| 21-0-0 \| lawrence "larry" o \| ko \| 1933 \| 1 \| cambridge, massachusetts row 13 : win \| 20-0-0 \| igg rosenberg \| ko \| 1933 \| 1 \| cambridge, massachusetts row 14 : win \| 19-0-0 \| melvin kenyon \| ko \| 1933 \| 1 \| cambridge, massachusetts row 15 : win \| 17-0-0 \| samuel rodgway \| ko \| 1933 may 28 \| 1 \| cambridge, massachusetts row 16 : exch \| 16-0-0 \| "irish" tommy mitchell \| ko \| 1933 may 21 \| 1 \| cambridge, massachusetts row 17 : win \| 15-0-0 \| jim crawford \| ko \| 1933 may 14 \| 1 \| cambridge, massachusetts row 18 : win \| 14-0-0 \| max levine \| ko \| 1933 may 7 \| 1 \| cambridge, massachusetts row 19 : win \| 13-0-0 \| leo hart \| ko \| 1933 may 1 \| 1 \| cambridge, massachusetts row 20 : win \| 12-0-0 \| paul benjamin \| pts \| 1932 \| 3 \| evanston, illinois row 21 : win \| 11-0-0 \| fred chapman \| ko \| 1932 \| 3 \| evanston, illinois row 22 : win \| 10-0-0 \| paul benjamin \| ko \| 1932 \| 3 \| evanston, illinois row 23 : win \| 9-0-0 \| rod conley \| ko \| 1932 \| 2 \| evanston, illinois row 24 : win \| 8-0-0 \| paul gilmore \| ko \| 1932 \| 1 \| chicago, illinois row 25 : win \| 7-0-0 \| jack lewis \| ko \| 1932 \| 3 \| chicago, illinois row 26 : exch \| 6-0-0 \| eddie mitchell \| ko \| 1932 \| 1 \| chicago, illinois ] Execute this SQL based on the above table: select count ( date ) where date = '1934 feb 24'	1
[ header: year \| democratic party \| republican party \| independent / other \| majority row 1 : 1865 \| 0 \| 0 \| 124 \| 124 row 2 : 1868 \| 14 \| 110 \| 0 \| 96 row 3 : 1870 \| 0 \| 100 \| 24(a) \| 76 row 4 : 1872 \| 22 \| 102 \| 0 \| 80 row 5 : 1874 \| 0 \| 91 \| 33(b) \| 58 row 6 : 1876 \| 64 \| 60 \| 0 \| 4 row 7 : 1878 \| 121 \| 3 \| 0 \| 118 row 8 : 1880 \| 120 \| 4 \| 0 \| 116 row 9 : 1902- 1962 \| 124 \| 0 \| 0 \| 124 row 10 : 1964 \| 123 \| 1 \| 0 \| 122 row 11 : 1966 \| 107 \| 17 \| 0 \| 90 row 12 : 1968 \| 119 \| 5 \| 0 \| 114 row 13 : 1970 \| 115 \| 9 \| 0 \| 109 row 14 : 1972 \| 107 \| 17 \| 0 \| 90 row 15 : 1974 \| 110 \| 14 \| 0 \| 96 row 16 : 1976 \| 114 \| 10 \| 0 \| 104 row 17 : 1978 \| 111 \| 13 \| 0 \| 98 row 18 : 1980 \| 110 \| 14 \| 0 \| 96 row 19 : 1982 \| 108 \| 16 \| 0 \| 92 row 20 : 1984 \| 102 \| 22 \| 0 \| 80 row 21 : 1986 \| 98 \| 26 \| 0 \| 72 row 22 : 1988 \| 94 \| 30 \| 0 \| 64 row 23 : 1990 \| 89 \| 35 \| 0 \| 54 row 24 : 1992 \| 84 \| 40 \| 0 \| 44 row 25 : 1994 \| 72 \| 52 \| 0 \| 20 row 26 : 1996 \| 54 \| 70 \| 0 \| 16 row 27 : 1998 \| 58 \| 66 \| 0 \| 12 row 28 : 2000 \| 55 \| 69 \| 0 \| 14 row 29 : 2002 \| 51 \| 73 \| 0 \| 22 row 30 : 2004 \| 50 \| 74 \| 0 \| 24 row 31 : 2006 \| 51 \| 73 \| 0 \| 22 row 32 : 2008 \| 52 \| 72 \| 0 \| 20 row 33 : 2010 \| 47 \| 76 \| 0 \| 29 row 34 : 2012 \| 45 \| 78 \| 0 \| 30 ] Execute this SQL based on the above table: select democratic party order by majority desc limit 1	0
[ header: pos \| rider \| manufacturer \| time/retired \| points row 1 : 1 \| max biaggi \| aprilia \| 40:36.299 \| 25 row 2 : 2 \| marcellino lucchi \| aprilia \| 6.914 \| 20 row 3 : 3 \| ralf waldmann \| honda \| 18.294 \| 16 row 4 : 4 \| olivier jacque \| honda \| 18.607 \| 13 row 5 : 5 \| jurgen fuchs \| honda \| 31.617 \| 11 row 6 : 6 \| tetsuya harada \| yamaha \| 31.649 \| 10 row 7 : 7 \| jean-philippe ruggia \| honda \| 31.683 \| 9 row 8 : 8 \| nobuatsu aoki \| honda \| 47.701 \| 8 row 9 : 9 \| luis d'antin \| honda \| 51.186 \| 7 row 10 : 10 \| cristiano migliorati \| honda \| 51.556 \| 6 row 11 : 11 \| massimo ottobre \| aprilia \| 51.563 \| 5 row 12 : 12 \| eskil suter \| aprilia \| 51.613 \| 4 row 13 : 13 \| luca boscoscuro \| aprilia \| 51.617 \| 3 row 14 : 14 \| regis laconi \| honda \| 52.394 \| 2 row 15 : 15 \| jurgen vd goorbergh \| honda \| 52.569 \| 1 row 16 : 16 \| sebastian porto \| aprilia \| +1:03.619 \| None row 17 : 17 \| jamie robinson \| aprilia \| +1:06.917 \| None row 18 : 18 \| olivier petrucciani \| aprilia \| +1:06.945 \| None row 19 : 19 \| alessandro antonello \| aprilia \| +1:07.099 \| None row 20 : 20 \| osamu miyazaki \| aprilia \| +1:32.873 \| None row 21 : 21 \| davide bulega \| aprilia \| +1:32.902 \| None row 22 : 22 \| yasumasa hatakeyama \| honda \| +1:34.039 \| None row 23 : 23 \| franco battaini \| aprilia \| +1:34.363 \| None row 24 : 24 \| sete gibernau \| honda \| +1:34.931 \| None row 25 : 25 \| christian boudinot \| aprilia \| +1:41.263 \| None row 26 : 26 \| jose barresi \| yamaha \| +1 lap \| None row 27 : 27 \| roberto rolfo \| aprilia \| +1 lap \| None row 28 : 28 \| cristophe cogan \| honda \| +1 lap \| None row 29 : ret \| gianluigi scalvini \| honda \| retirement \| None row 30 : ret \| roberto locatelli \| aprilia \| retirement \| None row 31 : ret \| takeshi tsujimura \| honda \| retirement \| None ] Execute this SQL based on the above table: select count ( rider ) where points < ( select points where rider = 'osamu miyazaki' )	0
[ 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 city order by area (km2) desc limit 1	alessandria
[ header: date and time \| opponent \| location \| notes row 1 : 26 june 1918, 2035 hrs \| pfalz d.ii \| east of albert, somme \| None row 2 : 13 july 1918, 0857 hrs \| albatros d.v \| poperinghe \| None row 3 : 3 august 1918, 0930 hrs \| fokker d.vii \| southeast of ostend \| None row 4 : 13 august 1918, 1352 hrs \| fokker d.vii \| north of roye, somme \| flown by lothar von richthofen row 5 : 2 september 1918, 1150 hrs \| fokker d.vii \| south of rumaucourt \| None row 6 : 5 september 1918, 1720 hrs \| fokker d.vii \| saint-quentin, aisne \| None row 7 : 15 september 1918, 1050 hrs \| fokker d.vii \| epinoy \| None row 8 : 17 september 1918, 1300 hrs \| fokker d.vii \| epinoy \| None row 9 : 24 september 1918, 0728 hrs \| fokker d.vii \| west of cambrai \| None row 10 : 26 september 1918, 1325 hrs \| fokker d.vii \| east of bourlon wood \| None row 11 : 27 september 1918, 0920 hrs \| halberstadt (unspecified c \| noyelles-sous-lens \| None row 12 : 28 october 1918, 1205 \| fokker d.vii \| villers-pol \| shared with lt. jesse ] Execute this SQL based on the above table: select count ( * )	12
[ header: edition \| year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) row 1 : 34th \| 2013 \| sean hehir (irl) \| 2:18:19 \| maria mccambridge (ir \| 2:38:51 row 2 : 33rd \| 2012 \| geoffrey ndungu (ken) \| 2:11:09 \| magdalene mukunza ( \| 2:30:46 row 3 : 29th \| 2008 \| andriy naumov (uk \| 2:11:06 \| larisa zyuzko \| 2:29:55 row 4 : 26th \| 2005 \| dmytro osa \| 2:13:14 \| zinaida semenova (rus) \| 2:32:53 row 5 : 25th \| 2004 \| lezan kipkosgei ki \| 2:13:07 \| yelena burykina ( \| 2:32:53 row 6 : 24th \| 2003 \| onesmus musyoka kil \| 2:17:03 \| ruth kutol (ken) \| 2:27:22 row 7 : 23rd \| 2002 \| frederick cherono (ken \| 2:14:25 \| lidiya vasilevskay \| 2:32:58 row 8 : 17th \| 1996 \| joseph kahugu ( \| 2:17:42 \| cathy shum (irl \| 2:38:56 row 9 : 16th \| 1995 \| william musyoki (ken \| 2:16:57 \| trudi thomson (g \| 2:38:23 row 10 : 15th \| 1994 \| steve brace (gbr) \| 2:17:13 \| linda rushmere (gbr \| 2:40:17 row 11 : 14th \| 1993 \| john treacy (irl) \| 2:14:40 \| cathy shum (irl \| 2:38:14 row 12 : 13th \| 1992 \| jerry kiernan (i \| 2:17:19 \| karen cornwall (gbr) \| 2:41:58 row 13 : 12th \| 1991 \| tommy hughes (gbr \| 2:14:46 \| christine kennedy (i \| 2:35:56 row 14 : 11th \| 1990 \| john bolger (irl) \| 2:17:17 \| christine kennedy (i \| 2:41:27 row 15 : 10th \| 1989 \| john griffin (irl) \| 2:16:44 \| pauline nolan (irl) \| 2:44:32 row 16 : 9th \| 1988 \| john griffin (irl) \| 2:16:02 \| moira o'neill ( \| 2:37:06 row 17 : 8th \| 1987 \| pavel klimes (tch) \| 2:14:21 \| carolyn naisby ( \| 2:42:08 row 18 : 6th \| 1985 \| dick hooper (irl \| 2:13:48 \| julia gates (gbr \| 2:41:26 row 19 : 5th \| 1984 \| svend-erik kristen \| 2:18:25 \| ailish smyth (i \| 2:47:30 row 20 : 4th \| 1983 \| ronny agten (bel) \| 2:14:19 \| mary purcell (irl) \| 2:46:09 row 21 : 2nd \| 1981 \| neil cusack (irl \| 2:13:58 \| emily dowling (ir \| 2:48:22 ] Execute this SQL based on the above table: select edition where year = 1994	15th
[ header: rank \| name \| height ft (m) \| floors \| year \| coordinates \| notes row 1 : 1 \| ordway building \| 404 (123) \| 28 \| 1970 \| 37°48′36′′n 122° \| tallest building in both oakland and in row 2 : 2 \| kaiser center \| 390 (119) \| 28 \| 1960 \| 37°48′32′′n 122° \| tallest building constructed in the 1960s row 3 : 4 \| 1111 broadway \| 360 (110) \| 24 \| 1990 \| 37°48′10′′n 122° \| tallest building constructed in the 1990s row 4 : 5 \| kaiser engineering building \| 336 (102) \| 25 \| 1984 \| 37°48′21′′n 122° \| None row 5 : 7= \| em harris state office building \| 328 (100) \| 22 \| 1998 \| 37°48′23′′n 122° \| None row 6 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′16′′n 122° \| None row 7 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′18′′n 122° \| None row 8 : 10 \| oakland city hall \| 320 (98) \| 14 \| 1914 \| 37°48′19′′n 122° \| tallest building constructed in the 1910s; national row 9 : 12 \| 1330 broadway \| 297 (91) \| 21 \| 1956-1959 \| 37°48′14′′n 122° \| None row 10 : 13 \| pacific bell building \| 296 (90) \| 20 \| 1985 \| 37°48′37′′n 122° \| None row 11 : 14 \| 555 city center \| 279 (85) \| 20 \| 2002 \| 37°48′13′′n 122° \| None row 12 : 15 \| park bellevue tower \| 270 (82) \| 25 \| 1969 \| 37°48′28′′n 122° \| None row 13 : 16 \| st. paul's towers \| 267 (81) \| 22 \| 1966 \| 37°48′42′′n 122° \| None row 14 : 17 \| the grand apartments \| 263 (80) \| 22 \| 2008 \| 37°48′41′′n 122° \| None row 15 : 18 \| central building \| 235 (72) \| 15 \| 1926 \| 37°48′15′′n 122° \| None row 16 : 19 \| bank of america building \| 225 (69) \| 18 \| 1907 \| 37°48′10′′n 122° \| tallest building constructed in the decade of 1900 ] Execute this SQL based on the above table: select year where height ft (m) > '336 (102)' order by height ft (m) asc limit 1	1990
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : loss \| 21-7 \| kenji osawa \| decision (unanimous) \| vale tudo japan 2012 \| december 24, 2012 \| 3 \| 5:00 \| tokyo, japan \| None row 2 : win \| 20-5 \| koichiro matsumoto \| tko (punches) \| dream: fight for japan! \| may 29, 2011 \| 1 \| 6:51 \| saitama, japan \| None row 3 : loss \| 18-4 \| hatsu hioki \| decision (split) \| shooto: the way of shooto 3: \| may 30, 2010 \| 3 \| 5:00 \| tokyo, japan \| lost shooto lightweight (143 lbs.) row 4 : win \| 18-3 \| gerald lovato \| submission (armbar) \| shooto: the way of shooto 1: \| january 23, 2010 \| 3 \| 4:11 \| tokyo, japan \| None row 5 : loss \| 14-3 \| savant young \| decision (unanimous) \| shooto tradition 1 \| may 3, 2008 \| 2 \| 5:00 \| tokyo, japan \| None row 6 : win \| 13-2 \| marc duncan \| submission (rear-naked choke) \| shooto: back to our roots 4 \| july 15, 2007 \| 1 \| 3:16 \| tokyo, japan \| None row 7 : loss \| 12-2 \| akitoshi tamura \| decision (unanimous) \| shooto: back to our roots 3 \| may 18, 2007 \| 3 \| 5:00 \| tokyo, japan \| lost shooto lightweight (143 lbs.) row 8 : win \| 10-1 \| cole miller \| decision (unanimous) \| shooto 2006: 7/21 in kor \| july 21, 2006 \| 3 \| 5:00 \| tokyo, japan \| None row 9 : win \| 8-1 \| makoto ishikawa \| decision (unanimous) \| shooto: the victory of the truth \| february 17, 2006 \| 3 \| 5:00 \| tokyo, japan \| None row 10 : win \| 7-1 \| akitoshi tamura \| decision (majority) \| shooto 2005: 11/6 in koraku \| november 6, 2005 \| 2 \| 5:00 \| tokyo, japan \| None row 11 : loss \| 6-1 \| antonio carvalho \| decision (majority) \| shooto: alive road \| august 20, 2005 \| 3 \| 5:00 \| yokohama, japan \| None row 12 : win \| 6-0 \| jin kazeta \| submission (rear-naked choke) \| shooto: 3/11 in korakuen \| march 11, 2005 \| 2 \| 4:17 \| tokyo, japan \| None row 13 : win \| 1-0 \| hayate usui \| decision (unanimous) \| shooto: shooter's dream 2 \| may 30, 2003 \| 2 \| 5:00 \| tokyo, japan \| None ] Execute this SQL based on the above table: select count ( * ) where location = 'tokyo, japan'	11
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select year where year = 1975	1975, 1975, 1975
[ header: device \| type \| iops \| interface \| notes row 1 : simple slc ssd \| ssd \| ~400 iops[citation needed] \| sata 3 gbit/s \| None row 2 : intel x25-m g2 \| ssd \| ~8,600 iops \| sata 3 gbit/s \| intel's data sheet claims 6,600/8 row 3 : intel x25-e (sl \| ssd \| ~5,000 iops \| sata 3 gbit/s \| intel's data sheet claims 3,300 row 4 : g.skill phoenix pro \| ssd \| ~20,000 iops \| sata 3 gbit/s \| sandforce-1200 based s row 5 : ocz vertex 3 \| ssd \| up to 60,000 iops \| sata 6 gbit/s \| random write 4 kb (aligned row 6 : corsair force series gt \| ssd \| up to 85,000 iops \| sata 6 gbit/s \| 240 gb drive, 555 row 7 : ocz vertex 4 \| ssd \| up to 120,000 iops \| sata 6 gbit/s \| 256 gb drive, 560 row 8 : texas memory systems ramsan \| ssd \| 120,000+ random read/write iops \| pcie \| includes ram cache row 9 : virident systems tachion \| ssd \| 320,000 sustained read iops using 4k \| pcie \| None row 10 : fusion-io iodrive du \| ssd \| 250,000+ iops \| pcie \| None row 11 : violin memory violin 3200 \| ssd \| 250,000+ random read/write iops \| pcie /fc/infini \| flash memory array row 12 : whiptail, accela \| ssd \| 250,000/200,000+ write/read i \| fibre channel, iscsi, infini \| flash based storage array row 13 : ddrdrive x1 \| ssd \| 300,000+ (512b random read \| pcie \| None row 14 : whiptail, invicta \| ssd \| 650,000/550,000+ read/write i \| fibre channel, iscsi, infini \| flash based storage array row 15 : violin memory violin 6000 \| 3ru flash memory array \| 1,000,000+ random read/write iops \| /fc/infiniband/10g \| None ] Execute this SQL based on the above table: select device where notes = 'flash memory array'	violin memory violin 3200
[ header: date \| city \| venue \| member \| performance \| notes row 1 : 15 january \| dublin \| rte studios \| brian & roger \| (1) "we will rock you" (2) "we \| the late late show row 2 : 31 january \| dublin \| the o2 \| brian \| (1) "bohemian rhap \| matinee and evening performances. roger row 3 : 10 may \| london \| dominion theatre \| brian & roger \| (1) "bohemian rhap \| 8th anniversary row 4 : 3 september \| utrecht \| beatrix theatre \| brian \| (1) "bohemian rhap \| None row 5 : 4 september \| london \| dominion theatre \| brian \| (1) "bohemian rhap \| matinee and evening performances row 6 : 12 september \| stockholm \| cirkus arena restaurang \| brian \| (1) "bohemian rhap \| None row 7 : 21 october \| berlin \| theater des westens \| brian \| (1) "bohemian rhap \| None ] Execute this SQL based on the above table: select count ( * )	7
[ header: released \| title \| artist \| format \| language row 1 : 20 january 2011 \| v.v.i.p \| seungri \| mini album, digital download \| korean row 2 : 24 february 2011 \| tonight \| big bang \| mini album, digital download \| korean row 3 : 8 april 2011 \| bigbang special edition \| big bang \| studio album, digital download \| korean row 4 : 11 may 2011 \| big bang 2 \| big bang \| studio album, digital download \| japanese row 5 : 25 may 2011 \| the ultimate: international best \| big bang \| compilation \| japanese row 6 : 30 june 2011 \| 2011 big show live concert \| big bang \| live album \| korean row 7 : 28 july 2011 \| 2ne1 \| 2ne1 \| extended play, digital download \| korean row 8 : 21 september 2011 \| nolza \| 2ne1 \| extended play, digital download \| japanese row 9 : 21 october 2011 \| fever's end: part 1 \| tablo \| studio album, digital download \| korean row 10 : 1 november 2011 \| fever's end: part 2 \| tablo \| studio album, digital download \| korean row 11 : 21 december 2011 \| 1st live concert nolza! \| 2ne1 \| live album \| korean row 12 : 29 april 2011 \| loveless \| gummy \| mini album, digital download \| japanese row 13 : 14 december 2011 \| the best of bigbang \| big bang \| compilation \| japanese ] Execute this SQL based on the above table: select ( select language where title = 'the best of bigbang' ) - ( select language where title = 'loveless' )	0
[ header: name \| abbr. \| leader \| ideology \| political position \| mps row 1 : serbian progressive party српска \| sns \| aleksandar vucic \| conservatism \| centre-right \| 134 / 250 row 2 : socialist party of serbia социјал \| sps \| ivica dacic \| socialism \| centre-left to left-wing \| 25 / 250 row 3 : party of united pensioners of serbia п \| pups \| jovan krkobabic \| pensioners' interests \| left-wing \| 12 / 250 row 4 : new democratic party нова демок \| nds \| boris tadic \| social democracy, green politics \| centre-left \| 10 / 250 row 5 : social democratic party of serbia социј \| sdps \| rasim ljajic \| social democracy \| centre-left \| 10 / 250 row 6 : united serbia јединстве \| js \| dragan markovic \| populism \| right-wing \| 7 / 250 row 7 : league of social democrats of voj \| lsv \| nenad canak \| social democracy, regionalism \| centre-left \| 6 / 250 row 8 : alliance of vojvodina hung \| svm \| istvan pasztor \| hungarian minority politics \| minority politics \| 6 / 250 row 9 : serbian renewal movement српски п \| spo \| vuk draskovic \| monarchism, pro-europeanism \| centre-right \| 5 / 250 row 10 : movement of socialists покрет \| ps \| aleksandar vulin \| socialism, marxism \| left-wing to far-left \| 3 / 250 row 11 : party of democratic action of sandzak \| sda \| sulejman ugl \| bosniak minority politics \| minority politics \| 3 / 250 row 12 : together for serbia зајед \| zzs \| dusan petrovic \| social democracy \| centre-left \| 2 / 250 row 13 : new party нова странка \| nova \| zoran zivkovic \| liberalism, pro-europeanism \| centre \| 2 / 250 ] Execute this SQL based on the above table: select count ( abbr. ) where ideology in ( 'socialism' , 'socialism' )	1
[ header: year \| competition \| venue \| position \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 15th (q) \| 7.43 m row 2 : 1996 \| asian junior championships \| new delhi, india \| 1st \| 7.68 m row 3 : 1999 \| world championships \| seville, spain \| 6th \| 8.01 m row 4 : 2001 \| east asian games \| osaka, japan \| 3rd \| 7.77 m row 5 : 2002 \| asian championships \| colombo, sri lan \| 3rd \| 7.91 m (w) row 6 : 2002 \| asian games \| busan, south korea \| 4th \| 7.75 m row 7 : 2003 \| universiade \| daegu, south korea \| 7th \| 7.78 m ] Execute this SQL based on the above table: select count ( competition ) where id < ( select id where competition = 'asian junior championships' )	1
[ header: year \| song \| chart positions us country \| chart positions can country \| album row 1 : 1968 \| "god help you woman" \| 32 \| 24 \| singles only row 2 : 1969 \| "please take me back" \| 40 \| None \| singles only row 3 : 1969 \| "i'm not through loving you" \| 52 \| None \| singles only row 4 : 1969 \| "molly" \| 53 \| None \| singles only row 5 : 1973 \| "i see his love all over you" \| 67 \| None \| singles only row 6 : 1974 \| "fool passin' through" \| 68 \| None \| singles only row 7 : 1974 \| "forgettin' 'bout \| 51 \| None \| singles only row 8 : 1975 \| "one, two, three (never \| 88 \| None \| singles only row 9 : 1975 \| "woman, woman" \| 43 \| 46 \| singles only row 10 : 1976 \| "she's free but she's \| 66 \| None \| singles only row 11 : 1977 \| "chasin' my tail" \| 88 \| None \| singles only row 12 : 1977 \| "don't let my love stand in your \| 86 \| None \| singles only row 13 : 1983 \| "when you're not a lady" \| 16 \| None \| the man in the mirror row 14 : 1983 \| "you got me running" \| 28 \| None \| the man in the mirror row 15 : 1983 \| "the man in the mirror" \| 17 \| None \| the man in the mirror row 16 : 1984 \| "if i could only dance with you" \| 10 \| 10 \| the man in the mirror row 17 : 1984 \| "you're gettin' to me \| 1 \| 3 \| the man in the mirror row 18 : 1984 \| "let me down easy" \| 16 \| 33 \| the man in the mirror row 19 : 1985 \| "i'll be your fool tonight" \| 54 \| None \| past the point of no return row 20 : 1985 \| "in another minute" \| 27 \| None \| past the point of no return row 21 : 1986 \| "if i don't love you" \| 53 \| None \| past the point of no return row 22 : 1986 \| "the lights of albuquerque" \| 40 \| None \| everybody knows i'm yours ] Execute this SQL based on the above table: select album order by chart positions us country desc limit 1	singles only
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °f (°c) \| 97 (36) \| 100 (38) \| 104 (40) \| 110 (43) \| 121 (49) \| 123 (51) \| 125 (52) \| 121 (49) \| 122 (50) \| 115 (46) \| 101 (38) \| 96 (36) \| 125 (52) row 2 : average high °f (°c) \| 71.9 (22.2) \| 75.3 (24.1) \| 81.3 (27.4) \| 87.5 (30.8) \| 95.7 (35.4) \| 103.1 (39.5) \| 107.3 (41.8) \| 106.6 (41.4) \| 102.0 (38.9) \| 91.9 (33.3) \| 79.6 (26.4) \| 71.0 (21.7) \| 89.5 (31.9) row 3 : average low °f (°c) \| 44.6 (7) \| 48.0 (8.9) \| 54.8 (12.7) \| 60.7 (15.9) \| 67.7 (19.8) \| 74.2 (23.4) \| 80.3 (26.8) \| 80.3 (26.8) \| 74.0 (23.3) \| 63.7 (17.6) \| 51.8 (11) \| 44.2 (6.8) \| 62.1 (16.7) row 4 : record low °f (°c) \| 13 (-11) \| 20 (-7) \| 25 (-4) \| 33 (1) \| 38 (3) \| 45 (7) \| 59 (15) \| 56 (13) \| 46 (8) \| 31 (-1) \| 23 (-5) \| 17 (-8) \| 13 (-11) row 5 : precipitation inches (mm) \| 0.56 (14.2) \| 0.64 (16.3) \| 0.43 (10.9) \| 0.05 (1.3) \| 0.07 (1.8) \| 0.01 (0.3) \| 0.04 (1) \| 0.54 (13.7) \| 0.04 (1) \| 0.26 (6.6) \| 0.18 (4.6) \| 0.62 (15.7) \| 3.44 (87.4) ] Execute this SQL based on the above table: select count ( feb ) where month = 'precipitation inches (mm)' and month = 'record high °f (°c)'	0
[ header: year \| title \| album \| us r&b \| us pop \| us dance row 1 : 1989 \| "talk to myself"/sweet memories \| adventures in paradise a \| 4 \| 49 \| 18 row 2 : 1989 \| "promises, promises"/lover \| adventures in paradise a \| 7 \| None \| None row 3 : 1990 \| "one girl"/lover come back \| adventures in paradise a \| 31 \| None \| None row 4 : 1991 \| "i'm dreamin'" \| new jack city soundtrack \| 1 \| 89 \| 16 row 5 : 1991 \| "i wanna b ure lover" \| f.s. effect featuring christoph \| 52 \| None \| None row 6 : 1992 \| "all i see" \| changes \| 19 \| None \| 46 row 7 : 1993 \| "every little thing u do" \| changes \| 7 \| 75 \| None row 8 : 1993 \| "come go with me" \| changes \| 74 \| None \| None row 9 : 1995 \| "dance 4 me" \| not a perfect man \| 25 \| None \| None row 10 : 1995 \| "if you say" \| not a perfect man \| 91 \| None \| None ] Execute this SQL based on the above table: select us r&b group by us r&b order by count ( * ) desc limit 1	7
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select original album order by id desc limit 1	taman langit
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 8th \| 200 m \| 23.89 row 2 : 1996 \| olympic games \| atlanta, united states \| 11th (sf) \| 4x100 m relay \| 44.21 row 3 : 1997 \| european junior championships \| ljubljana, s \| 1st \| 100 m \| 11.39 row 4 : 1997 \| european junior championships \| ljubljana, s \| 3rd \| 200 m \| 23.43 row 5 : 1997 \| world championships \| athens, greece \| 36th (h) \| 100 m \| 11.59 row 6 : 1998 \| world junior championships \| annecy, france \| 8th (sf) \| 100 m \| 11.75 row 7 : 1998 \| european championships \| budapest, hungary \| 27th (h) \| 200 m \| 24.1 row 8 : 1998 \| european championships \| budapest, hungary \| 6th \| 4x100 m relay \| 44.1 row 9 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 100 m \| 11.47 row 10 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 200 m \| 23.26 row 11 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 4x100 m relay \| 44.4 row 12 : 1999 \| world championships \| seville, spain \| 24th (qf) \| 100 m \| 11.45 row 13 : 1999 \| world championships \| seville, spain \| 10th (h) \| 4x100 m relay \| 43.86 row 14 : 2000 \| european indoor championships \| ghent, belgium \| 21st (h) \| 60 m \| 7.4 row 15 : 2000 \| european indoor championships \| ghent, belgium \| 12th (sf) \| 200 m \| 23.83 row 16 : 2000 \| olympic games \| sydney, australia \| 12th (sf) \| 4x100 m relay \| 43.5 row 17 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 100 m \| 11.61 row 18 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 4x100 m relay \| 44.76 row 19 : 2001 \| world championships \| edmonton, canada \| 12th (sf) \| 100 m \| 11.46 row 20 : 2002 \| european championships \| munich, germany \| 20th (h) \| 100 m \| 11.58 row 21 : 2003 \| world championships \| paris, france \| 23rd (qf) \| 200 m \| 23.42 row 22 : 2004 \| world indoor championships \| budapest, hungary \| 13th (sf) \| 60 m \| 7.3 row 23 : 2004 \| world indoor championships \| budapest, hungary \| 10th (h) \| 200 m \| 23.79 row 24 : 2006 \| european championships \| gothenburg, sweden \| 11th (h) \| 4x100 m relay \| 44.32 row 25 : 2007 \| european indoor championships \| birmingham, united kingdom \| 5th (sf) \| 60 m \| 7.24 row 26 : 2007 \| universiade \| bangkok, thailand \| 1st \| 100 m \| 11.46 row 27 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x100 m relay \| 43.48 row 28 : 2007 \| world championships \| osaka, japan \| 32nd (h) \| 100 m \| 11.52 row 29 : 2007 \| world championships \| osaka, japan \| 10th (h) \| 4x100 m relay \| 43.41 ] Execute this SQL based on the above table: select competition order by year desc limit 1	european indoor championships
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 106 \| august 2 \| pirates \| 2-3 \| rick white (4-5) \| bobby munoz (7-4) \| dan miceli (2) \| 40164 \| 51-55 row 2 : 107 \| august 3 \| pirates \| 7-0 \| danny jackson (14-5) \| steve cooke (4-10) \| none \| 36542 \| 52-55 row 3 : 108 \| august 4 \| pirates \| 1-5 \| jon lieber (6-6) \| curt schilling (1-8) \| none \| 37481 \| 52-56 row 4 : 109 \| august 5 \| expos \| 0-5 \| pedro martinez (10-5) \| david west (4-9) \| none \| 33642 \| 52-57 row 5 : 110 \| august 6 \| expos \| 3-4 (11) \| john wetteland (4-6) \| doug jones (2-4) \| jeff shaw (1) \| 41699 \| 52-58 row 6 : 111 \| august 7 \| expos \| 4-6 \| ken hill (16-5) \| bobby munoz (7-5) \| mel rojas (16) \| 45346 \| 52-59 row 7 : 112 \| august 8 \| mets \| 2-3 \| bobby j. jones (12 \| danny jackson (14-6) \| john franco (29) \| 35977 \| 52-60 row 8 : 113 \| august 9 \| mets \| 5-1 \| curt schilling (2-8) \| mike remlinger (1-5) \| none \| 31740 \| 53-60 row 9 : 114 \| august 10 \| mets \| 2-6 \| bret saberhagen ( \| david west (4-10) \| john franco (30) \| 36716 \| 53-61 row 10 : 115 \| august 11 \| mets \| 2-1 (15) \| tom edens (5-1) \| mauro gozzo (3-5) \| none \| 37605 \| 54-61 ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	august 9
[ 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 count ( * ) where stadium > 758	40
[ header: network name \| flagship \| programming type \| owner \| affiliates row 1 : canal de las estrellas \| xew 2 \| soap operas, retro movies and sports \| televisa \| 1 row 2 : canal 5 \| xhgc 5 \| cartoons, movies, and series \| televisa \| 1 row 3 : azteca 7 \| xhimt 7 \| sports, series, and movies \| tv azteca \| 1 row 4 : galavision \| xeq 9 \| retro programming and sports \| televisa \| 1 row 5 : once tv \| xeipn 11 \| educational and cultural \| national polytechnic institute \| 1 row 6 : azteca 13 \| xhdf 13 \| news, soap operas, and sports \| tv azteca \| 1 row 7 : independent \| None \| varies \| independent \| 2 ] Execute this SQL based on the above table: select flagship where affiliates = 1	xew 2, xhgc 5, xhimt 7, xeq 9, xeipn 11, xhdf 13
[ header: trial number \| date \| name of trial \| celebrity/ies taking part \| winner/number of stars \| notes row 1 : 1 \| 13 november 2006 \| mineshaft misery \| jan \| None \| none row 2 : 2 \| 14 november 2006 \| flash flood \| david \| None \| none row 3 : 3 \| 15 november 2006 \| jungle boogie \| scott \| None \| None row 4 : 4 \| 16 november 2006 \| treetop terror \| jan scott \| None \| none row 5 : 5 (live) \| 17 november 2006 \| jungle spa \| dean \| None \| None row 6 : 6 \| 18 november 2006 \| operation \| phina jason \| None \| None row 7 : 7 \| 19 november 2006 \| snake bite \| jan \| None \| None row 8 : 8 \| 20 november 2006 \| bull in a china shop \| jan \| None \| none row 9 : 9 \| 21 november 2006 \| catch a falling star \| jan scott \| jan \| None row 10 : 10 \| 22 november 2006 \| bushtucker duel \| jan scott \| scott \| none row 11 : 11 \| 23 november 2006 \| what lurks beneath \| phina scott \| phina \| None row 12 : 12 \| 24 november 2006 \| thunderball \| jason malandra matt \| None \| none row 13 : 13 \| 25 november 2006 \| jungle falls \| dean lauren phina \| None \| none row 14 : 14 \| 26 november 2006 \| tomb of torment \| myleene \| None \| none row 15 : 15 \| 27 november 2006 \| shooting gallery \| david jason matt \| None \| none row 16 : 16 \| 28 november 2006 \| skyscrape \| malandra myleene \| None \| none row 17 : 17 \| 29 november 2006 \| temple of doom \| dean \| None \| none row 18 : 18 \| 30 november 2006 \| celebrity cyclone \| jason myleene matt \| None \| none row 19 : 19 \| 1 december 2006 \| bushtucker bonanza \| matt \| None \| none row 20 : 20 \| 1 december 2006 \| fill your face \| jason \| None \| none row 21 : 21 \| 1 december 2006 \| scareoke \| myleene \| None \| none ] Execute this SQL based on the above table: select winner/number of stars order by name of trial - winner/number of stars desc limit 1	jan
[ header: state \| city/county \| population served \| charter type \| station name \| web site row 1 : mo \| cape girardeau; jackson \| None \| pg \| public access cable tv (cg99 \| http://www.cityofcapegirard row 2 : mo \| columbia \| 108500 \| e \| university of missouri tv (mut \| http://mutv.missouri.e row 3 : mo \| florissant \| None \| g \| florissant city tv \| http://tv.florissantmo row 4 : mo \| independence \| 116830 \| g \| independence city 7 \| http://www.ci.independence row 5 : mo \| jefferson city \| 40000 \| p \| jefferson city access tv 81 \| http://www.facebook.com/page row 6 : mo \| kansas city \| None \| g \| kansas city (kcc \| http://www.kcmo.org row 7 : mo \| lebanon \| None \| peg \| lebanon community access channel (jtv \| http://www.lebanon.k12. row 8 : mo \| liberty \| None \| pe \| liberty school district cable tv - channel \| http://www.liberty.k12. row 9 : mo \| rolla \| 19559 \| pg \| rolla - channel 16 \| http://www.rollachannel6.com row 10 : mo \| springfield \| None \| p \| springfield cable 25 \| http://mappingaccess.org/n row 11 : mo \| springfield \| None \| g \| springfield cityview \| http://www.springfieldmo.gov row 12 : mo \| st. joseph \| None \| e \| missouri western state university educational access - \| http://www.missouriwestern.e row 13 : mo \| st. louis \| 319294 \| e \| st. louis higher education channel ( \| http://www.hectv.org row 14 : mo \| st. louis \| 319294 \| e \| st. louis tv ( \| http://stltv.net row 15 : mo \| warrensburg \| None \| e \| university of central missouri - central \| http://www.ucmo.e ] Execute this SQL based on the above table: select station name where station name in ( 'university of central missouri - central tv' , 'independence city 7' ) order by city/county + state desc limit 1	independence city 7
[ 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 count ( * ) where iata = 11	0
[ header: ep# \| title \| broadcast date \| written by \| directed by row 1 : 1 \| "birth of a legend" \| april 18, 1995 \| michael piller & bill dial \| charles correll row 2 : 2 \| "mr. pratt goes to \| april 25, 1995 \| michael piller & bill dial \| william gereghty row 3 : 3 \| "legend on his president's secret service \| may 2, 1995 \| bob wilcox \| michael vejar row 4 : 4 \| "custer's next to last stand" \| may 9, 1995 \| bill dial \| william gereghty row 5 : 5 \| "the life, death, and life of wild \| may 16, 1995 \| peter allan fields \| michael caffey row 6 : 6 \| "knee-high noon" \| may 23, 1995 \| steve stolier & fr \| james l. conway row 7 : 7 \| "the gospel according to legend" \| june 12, 1995 \| john considine \| michael vejar row 8 : 8 \| "bone of contention" \| june 20, 1995 \| george geiger \| charles correll row 9 : 9 \| "revenge of the herd" \| july 4, 1995 \| tim burns \| bob balaban row 10 : 10 \| "fall of a legend" \| july 18, 1995 \| bob shane & r \| michael vejar row 11 : 11 \| "clueless in san franci \| july 25, 1995 \| carol caldwell & marianne clark \| charles correll row 12 : 12 \| "skeletons in the closet" \| august 8, 1995 \| david rich \| steve shaw ] Execute this SQL based on the above table: select written by order by ep# desc limit 1	david rich
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select interferometer and observing mode where minimum baseline (m) (un-projected) = ( select max ( minimum baseline (m) (un-projected) ) )	keck interferometer
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select year(s) won where total > 151 order by total limit 1	1960
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : 1a \| 30 june \| leiden - st willebro \| plain stage \| 135 km (84 mi) \| jan raas (ne row 2 : 1b \| 30 june \| st willebrord - \| plain stage \| 100 km (62 mi) \| walter planckaert (bel row 3 : 2 \| 1 july \| brussel - st amand \| plain stage \| 199 km (124 mi) \| jacques esclassan (f row 4 : 3 \| 2 july \| st amand les eaux - \| plain stage \| 244 km (152 mi) \| klaus-peter thaler ( row 5 : 4 \| 3 july \| evreux - caen \| team time trial \| 153 km (95 mi) \| ti-raleigh row 6 : 5 \| 4 july \| caen - maze montgeoffroy \| plain stage \| 244 km (152 mi) \| freddy maertens (bel) row 7 : 6 \| 5 july \| maze montgeoffroy - poit \| plain stage \| 162 km (101 mi) \| sean kelly (ire) row 8 : 7 \| 6 july \| poitiers - bordeaux \| plain stage \| 242 km (150 mi) \| freddy maertens (bel) row 9 : 8 \| 7 july \| st emilion - \| individual time trial \| 59 km (37 mi) \| bernard hinault (fra row 10 : 9 \| 8 july \| bordeaux - biarritz \| plain stage \| 233 km (145 mi) \| miguel maria lasa (es row 11 : 14 \| 14 july \| besse en chandesse \| individual time trial \| 52 km (32 mi) \| joop zoetemel row 12 : 15 \| 15 july \| st dier d'auver \| hilly stage \| 196 km (122 mi) \| bernard hinault (fra row 13 : 17 \| 18 july \| grenoble - morzine \| stage with mountain(s) \| 225 km (140 mi) \| christian seznec row 14 : 19 \| 20 july \| lausanne - belfort \| plain stage \| 182 km (113 mi) \| marc demeyer (bel) row 15 : 20 \| 21 july \| metz - nancy \| individual time trial \| 72 km (45 mi) \| bernard hinault (fra row 16 : 22 \| 23 july \| st germain en laye \| plain stage \| 162 km (101 mi) \| gerrie knetemann (n ] Execute this SQL based on the above table: select route order by route desc limit 1	st willebrord - brussel
[ header: week \| date \| opponent \| result \| attendance \| bye row 1 : 1 \| september 8, 2002 \| st. louis rams \| w 23-16 \| 75710 \| 0 row 2 : 2 \| september 15, 2002 \| at san francisco 49ers \| w 24-14 \| 67685 \| 0 row 3 : 3 \| september 22, 2002 \| buffalo bills \| w 28-23 \| 75359 \| 0 row 4 : 4 \| september 30, 2002 \| at baltimore ravens \| l 34-23 \| 69538 \| 0 row 5 : 5 \| october 6, 2002 \| san diego chargers \| w 26-9 \| 75065 \| 0 row 6 : 6 \| october 13, 2002 \| miami dolphins \| l 24-22 \| 75941 \| 0 row 7 : 7 \| october 20, 2002 \| at kansas city chiefs \| w 37-34 \| 78446 \| 0 row 8 : 8 \| october 27, 2002 \| at new england patriots \| w 24-16 \| 68436 \| 0 row 9 : 9 \| None \| None \| None \| None \| 1 row 10 : 10 \| november 11, 2002 \| oakland raiders \| l 34-10 \| 76643 \| 0 row 11 : 11 \| november 17, 2002 \| at seattle seahawks \| w 31-9 \| 65495 \| 0 row 12 : 12 \| november 24, 2002 \| indianapolis colts \| l 23-20 \| 75075 \| 0 row 13 : 13 \| december 1, 2002 \| at san diego chargers \| l 30-27 \| 66357 \| 0 row 14 : 14 \| december 8, 2002 \| at new york jets \| l 19-13 \| 78521 \| 0 row 15 : 15 \| december 15, 2002 \| kansas city chiefs \| w 31-24 \| 75947 \| 0 row 16 : 16 \| december 22, 2002 \| at oakland raiders \| l 28-16 \| 62592 \| 0 row 17 : 17 \| december 29, 2002 \| arizona cardinals \| w 37-7 \| 75164 \| 0 ] Execute this SQL based on the above table: select week where date = 'september 15, 2002'	2
[ 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 total assets (million tl) as of 30 september 2012 = 729	bank mellat
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select english title where year > 1924 order by year limit 1	pat and patachon are millionaires
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select year where title = '"molly (16 candles down the drain)"'	1995
[ header: choke \| constriction (inch) \| percentage of lead shot in 30-inch circle at 40 yards \| identification (notches) \| identification (stars) (spanish shotguns) row 1 : cylinder \| 0 \| 40 at 40 yd 70 at 25 \| 5 \| 5 row 2 : skeet 1 \| 0.005 \| 45 at 40 yd 75 at 25 \| None \| None row 3 : 2 \| 0.01 \| 50 \| 4 \| 4 row 4 : skeet 2 (light mod.) \| 0.015 \| 55 \| None \| None row 5 : modified \| 0.02 \| 60 \| 3 \| 3 row 6 : 3 \| 0.025 \| 65 \| 2 \| 2 row 7 : full \| 0.03 \| 70 \| 1 \| 1 row 8 : extra full \| 0.04 \| 73 \| 1 \| None row 9 : turkey \| 0.045 plus \| 75 plus \| 1 \| None ] Execute this SQL based on the above table: select count ( choke )	9
[ header: year \| song \| us r&b \| us rap \| album row 1 : 1991 \| "mistadobalina" \| 55 \| 6 \| i wish my brother george was here row 2 : 1991 \| "sleepin' on my couch" \| None \| None \| i wish my brother george was here row 3 : 1992 \| "dr. bombay.." \| None \| None \| i wish my brother george was here row 4 : 1993 \| "catch a bad one" \| None \| None \| no need for alarm row 5 : 1994 \| "wrong place" \| None \| 48 \| no need for alarm row 6 : 1999 \| "phoney phranchise" \| None \| 47 \| both sides of the brain row 7 : 2000 \| "if you must" \| None \| 27 \| both sides of the brain row 8 : 2008 \| "workin' it" \| None \| None \| eleventh hour row 9 : 2011 \| "one out of a million" \| None \| None \| golden era ] Execute this SQL based on the above table: select song group by song order by sum ( year ) desc limit 1	"one out of a million"
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select abs ( league - division ) where mlb season = 1983	0
[ header: year \| competition \| venue \| position \| notes row 1 : 2006 \| iaaf world athletics final \| stuttgart, germany \| 5th \| 110 m hurdles row 2 : 2007 \| world championships \| osaka, japan \| 4th (semis) \| 110 m hurdles row 3 : 2008 \| world indoor championships \| valencia, spain \| 4th (semis) \| 60 m hurdles row 4 : 2008 \| olympic games \| beijing, china \| 3rd \| 110 m hurdles row 5 : 2008 \| iaaf world athletics final \| stuttgart, germany \| 1st \| 110 m hurdles row 6 : 2010 \| world indoor championships \| doha, qatar \| 3rd \| 60 m hurdles row 7 : 2010 \| 2010 diamond league \| multiple locations \| 1st \| 110 m hurdles row 8 : 2013 \| 2013 diamond league \| multiple locations \| 1st \| 110 m hurdles row 9 : 2013 \| world championships \| moscow, russia \| 1st \| 110 m hurdles ] Execute this SQL based on the above table: select competition order by venue asc limit 1139	olympic games, world indoor championships, world championships, 2010 diamond league, 2013 diamond league, world championships, iaaf world athletics final, iaaf world athletics final, world indoor championships
[ header: team \| winners \| runners-up \| years won \| years runner-up row 1 : liverpool \| 8 \| 3 \| 1981, 1982, 1983, 1984, 1995, \| 1978, 1987, 2005 row 2 : aston villa \| 5 \| 3 \| 1961, 1975, 1977, 1994, 1996 \| 1963, 1971, 2010 row 3 : manchester united \| 4 \| 4 \| 1992, 2006, 2009, 2010 \| 1983, 1991, 1994, 2003 row 4 : tottenham hotspur \| 4 \| 3 \| 1971, 1973, 1999, 2008 \| 1982, 2002, 2009 row 5 : chelsea \| 4 \| 2 \| 1965, 1998, 2005, 2007 \| 1972, 2008 row 6 : nottingham forest \| 4 \| 2 \| 1978, 1979, 1989, 1990 \| 1980, 1992 row 7 : leicester city \| 3 \| 2 \| 1964, 1997, 2000 \| 1965, 1999 row 8 : manchester city \| 3 \| 1 \| 1970, 1976, 2014 \| 1974 row 9 : arsenal \| 2 \| 5 \| 1987, 1993 \| 1968, 1969, 1988, 2007, 2011 row 10 : norwich city \| 2 \| 2 \| 1962, 1985 \| 1973, 1975 row 11 : birmingham city \| 2 \| 1 \| 1963, 2011 \| 2001 row 12 : wolverhampton wanderers \| 2 \| 0 \| 1974, 1980 \| None row 13 : west bromwich albion \| 1 \| 2 \| 1966 \| 1967, 1970 row 14 : middlesbrough \| 1 \| 2 \| 2004 \| 1997, 1998 row 15 : queens park rangers \| 1 \| 1 \| 1967 \| 1986 row 16 : leeds united \| 1 \| 1 \| 1968 \| 1996 row 17 : stoke city \| 1 \| 1 \| 1972 \| 1964 row 18 : luton town \| 1 \| 1 \| 1988 \| 1989 row 19 : sheffield wednesday \| 1 \| 1 \| 1991 \| 1993 row 20 : swindon town \| 1 \| 0 \| 1969 \| None row 21 : oxford united \| 1 \| 0 \| 1986 \| None row 22 : blackburn rovers \| 1 \| 0 \| 2002 \| None row 23 : swansea city \| 1 \| 0 \| 2013 \| None row 24 : west ham united \| 0 \| 2 \| None \| 1966, 1981 row 25 : everton \| 0 \| 2 \| None \| 1977, 1984 row 26 : bolton wanderers \| 0 \| 2 \| None \| 1995, 2004 row 27 : sunderland \| 0 \| 2 \| None \| 1985, 2014 row 28 : rotherham united \| 0 \| 1 \| None \| 1961 row 29 : rochdale \| 0 \| 1 \| None \| 1962 row 30 : newcastle united \| 0 \| 1 \| None \| 1976 row 31 : southampton \| 0 \| 1 \| None \| 1979 row 32 : oldham athletic \| 0 \| 1 \| None \| 1990 row 33 : tranmere rovers \| 0 \| 1 \| None \| 2000 row 34 : wigan athletic \| 0 \| 1 \| None \| 2006 row 35 : cardiff city \| 0 \| 1 \| None \| 2012 row 36 : bradford city \| 0 \| 1 \| None \| 2013 ] Execute this SQL based on the above table: select max ( runners-up )	5.0
[ header: festival \| year \| award \| nominee \| result row 1 : blue mountains film festival \| 2011 \| animation prize \| None \| won row 2 : firstglance film festival philadelphia \| 2011 \| best director (animation) \| andrew martin \| won row 3 : lucerne international film festival \| 2011 \| best animated movie \| None \| nominated row 4 : village roadshow queensland new filmmakers \| 2011 \| best animation \| None \| won row 5 : village roadshow queensland new filmmakers \| 2011 \| best film \| None \| nominated row 6 : village roadshow queensland new filmmakers \| 2011 \| best direction \| andrew martin \| nominated row 7 : monaco international film festival \| 2011 \| best short film script \| None \| won row 8 : monaco international film festival \| 2011 \| best short animation \| None \| won row 9 : milan international film festival \| 2012 \| short film award \| None \| nominated row 10 : shorts in paradise film festival \| 2012 \| runner up award \| None \| won row 11 : worldfest houston international film festival and video \| 2012 \| special jury remi \| None \| won row 12 : janison short sharp film festival \| 2012 \| animation grand prize \| None \| won row 13 : create design awards \| 2012 \| motion category \| None \| nominated row 14 : st kilda film festival \| 2013 \| best comedy \| None \| won ] Execute this SQL based on the above table: select year where award = 'best animation'	2011
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select hdi where country = 'egypt'	0.708
[ header: rank \| county \| per capita income \| median household income \| median family income \| population \| number of households row 1 : 1 \| mccone \| $32,205 \| $42,998 \| $52,636 \| 1,734 \| 774 row 2 : 3 \| stillwater \| $27,168 \| $57,227 \| $65,438 \| 9,117 \| 3,796 row 3 : 4 \| richland \| $26,888 \| $52,516 \| $60,236 \| 9,746 \| 4,167 row 4 : 5 \| fallon \| $26,819 \| $52,529 \| $64,500 \| 2,890 \| 1,233 row 5 : 6 \| sheridan \| $26,537 \| $39,578 \| $55,313 \| 3,384 \| 1,587 row 6 : 10 \| carbon \| $24,983 \| $49,010 \| $59,823 \| 10,078 \| 4,571 row 7 : 13 \| park \| $24,717 \| $38,830 \| $50,252 \| 15,636 \| 7,310 row 8 : 15 \| missoula \| $24,343 \| $42,887 \| $58,302 \| 109,299 \| 45,926 row 9 : 17 \| phillips \| $24,227 \| $36,453 \| $55,362 \| 4,253 \| 1,819 row 10 : None \| montana \| $23,836 \| $43,872 \| $55,725 \| 989,415 \| 409,607 row 11 : 21 \| granite \| $23,222 \| $36,052 \| $47,685 \| 3,079 \| 1,417 row 12 : 22 \| cascade \| $22,963 \| $42,389 \| $53,540 \| 81,327 \| 33,809 row 13 : 23 \| sweet grass \| $22,785 \| $43,723 \| $56,552 \| 3,651 \| 1,590 row 14 : 24 \| wibaux \| $22,579 \| $40,417 \| $51,354 \| 1,017 \| 457 row 15 : 29 \| powder river \| $21,543 \| $37,685 \| $50,156 \| 1,743 \| 755 row 16 : 30 \| hill \| $21,420 \| $43,606 \| $55,963 \| 16,096 \| 6,275 row 17 : 33 \| beaverhead \| $21,110 \| $38,264 \| $53,036 \| 9,246 \| 4,014 row 18 : 34 \| petroleum \| $21,008 \| $36,875 \| $39,107 \| 494 \| 225 row 19 : 36 \| musselshell \| $20,875 \| $37,033 \| $47,860 \| 4,538 \| 2,046 row 20 : 38 \| teton \| $20,509 \| $39,516 \| $49,102 \| 6,073 \| 2,450 row 21 : 39 \| toole \| $20,464 \| $42,949 \| $54,722 \| 5,324 \| 2,015 row 22 : 40 \| chouteau \| $20,202 \| $41,064 \| $50,201 \| 5,813 \| 2,294 row 23 : 42 \| rosebud \| $19,844 \| $44,776 \| $56,282 \| 9,233 \| 3,395 row 24 : 43 \| lincoln \| $19,626 \| $30,823 \| $39,600 \| 19,687 \| 8,843 row 25 : 47 \| liberty \| $19,097 \| $40,212 \| $44,957 \| 2,339 \| 822 row 26 : 48 \| pondera \| $18,989 \| $36,419 \| $47,656 \| 6,153 \| 2,285 row 27 : 50 \| sanders \| $18,472 \| $30,622 \| $37,514 \| 11,413 \| 5,121 row 28 : 51 \| powell \| $17,849 \| $39,851 \| $45,339 \| 7,027 \| 2,466 row 29 : 52 \| roosevelt \| $17,821 \| $37,451 \| $50,146 \| 10,425 \| 3,553 row 30 : 55 \| blaine \| $16,813 \| $37,034 \| $40,890 \| 6,491 \| 2,357 ] Execute this SQL based on the above table: select min ( county ) where county = 'lincoln'	lincoln
[ 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 ( location )	16
[ header: lower mississippi periods \| lower yazoo phases \| lower yazoo dates \| tensas/natchez phases \| cahokia phases \| cahokia dates \| ohio/miss. river confluence phases \| ohio/miss. dates row 1 : historic \| russell \| 1650-1750 ce \| tensas / nat \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 2 : plaquemine mississippian culture late \| wasp lake \| 1400-1650 ce \| transylvania / emer \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 3 : plaquemine mississippian culture late \| lake george \| 1300-1400 ce \| fitzhugh / foster \| sand prairie \| 1275-1350 ce \| medley phase \| 1300-1500 ce row 4 : plaquemine mississippian culture late \| winterville \| 1200-1300 ce \| routh / anna \| moorehead \| 1200-1275 ce \| dorena \| 1100-1300 ce row 5 : transitional coles creek \| crippen point \| 1050-1200 ce \| preston / gordon \| lohmann sterling \| 1050-1200 ce \| dorena \| 1100-1300 ce row 6 : coles creek culture late coles creek middle co \| kings crossing \| 950-1050 ce \| balmoral \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 7 : coles creek culture late coles creek middle co \| aden \| 800-950 ce \| ballina \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 8 : coles creek culture late coles creek middle co \| bayland \| 600-800 ce \| sundown \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 9 : baytown/troyville baytown 2 bay \| deasonville \| 500-600 ce \| marsden \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 10 : baytown/troyville baytown 2 bay \| little sunflower \| 400-500 ce \| indian bayou \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 11 : marksville culture late marksville early marksville \| issaquena \| 200-400 ce \| issaquena \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 12 : marksville culture late marksville early marksville \| anderson landing \| 0-200 ce \| point lake/ grand gulf \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 13 : tchefuncte culture \| tuscola \| 400 bce-0 ce \| panther lake \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 14 : jaketown \| poverty point \| 700- 400 bce \| frasier \| early woodland \| 700-200 bce \| o'bryan ridge \| 700-550 bce row 15 : None \| poverty point \| 1000-700 bce \| None \| late archaic \| 1000 - 200 bce \| o'bryan ridge \| 700-550 bce ] Execute this SQL based on the above table: select count ( * ) where lower yazoo phases = 'lake george'	1
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 26 \| paul tracy \| team kool green \| 225 \| 1:48:49.169 \| 6 \| 20 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 225 \| 5.88 \| 3 \| 16 row 3 : 3 \| 5 \| gil de ferran \| walker racing \| 225 \| 6.456 \| 16 \| 14 row 4 : 4 \| 12 \| jimmy vasser \| chip ganassi racing \| 225 \| 7.937 \| 2 \| 12 row 5 : 5 \| 40 \| adrian fernandez \| patrick racing \| 225 \| 9.929 \| 18 \| 10 row 6 : 6 \| 11 \| christian fittipaldi \| newman-haas racing \| 225 \| 11.251 \| 13 \| 8 row 7 : 7 \| 27 \| dario franchitti \| team kool green \| 225 \| 12.578 \| 4 \| 6 row 8 : 8 \| 17 \| mauricio gugelmin \| pacwest racing \| 225 \| 15.223 \| 12 \| 5 row 9 : 9 \| 33 \| patrick carpentier \| forsythe racing \| 224 \| +1 lap \| 8 \| 4 row 10 : 10 \| 4 \| juan pablo montoya \| chip ganassi racing \| 224 \| +1 lap \| 5 \| 3+1 row 11 : 11 \| 25 \| cristiano da matta \| arciero-wells racing \| 224 \| +1 lap \| 7 \| 2 row 12 : 12 \| 18 \| roberto moreno \| pacwest racing \| 223 \| +2 laps \| 9 \| 1 row 13 : 13 \| 7 \| max papis \| team rahal \| 222 \| +3 laps \| 17 \| None row 14 : 14 \| 36 \| alex barron \| all american racing \| 222 \| +3 laps \| 10 \| None row 15 : 15 \| 6 \| michael andretti \| newman-haas racing \| 222 \| +3 laps \| 11 \| None row 16 : 16 \| 19 \| michel jourdain, j \| payton/coyne racing \| 222 \| +3 laps \| 21 \| None row 17 : 17 \| 24 \| scott pruett \| arciero-wells racing \| 222 \| +3 laps \| 15 \| None row 18 : 18 \| 44 \| tony kanaan \| forsythe racing \| 221 \| +4 laps \| 20 \| None row 19 : 19 \| 2 \| al unser, jr \| marlboro team penske \| 221 \| +4 laps \| 22 \| None row 20 : 20 \| 20 \| p. j. jones \| patrick racing \| 219 \| +6 laps \| 14 \| None row 21 : 21 \| 10 \| richie hearn \| della penna motorsports \| 219 \| +6 laps \| 19 \| None row 22 : 22 \| 34 \| dennis vitolo \| payton/coyne racing \| 212 \| +13 laps \| 26 \| None row 23 : 23 \| 16 \| shigeaki hattori \| bettenhausen racing \| 118 \| contact \| 24 \| None row 24 : 24 \| 22 \| robby gordon \| team gordon \| 83 \| electrical \| 23 \| None row 25 : 25 \| 8 \| bryan herta \| team rahal \| 81 \| handling \| 25 \| None row 26 : 26 \| 9 \| helio castro-neves \| hogan racing \| 30 \| turbo boost \| 1 \| 1 ] Execute this SQL based on the above table: select team order by team desc limit 1	walker racing
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : aberdeen \| 1 \| monroe county \| 72134 row 2 : advance \| 1 \| baxter county \| None row 3 : aggie \| 1 \| craighead county \| None row 4 : air base \| 1 \| pulaski county \| 72076 row 5 : alabam \| 1 \| madison county \| 72740 row 6 : alamo \| 1 \| montgomery county \| None row 7 : albion \| 1 \| white county \| 72143 row 8 : alexander \| 1 \| greene county \| 72450 row 9 : alexander \| 2 \| pulaski county \| 72002 row 10 : alfrey \| 1 \| monroe county \| 72021 row 11 : algoa \| 1 \| jackson county \| 72112 row 12 : alix \| 1 \| franklin county \| 72820 row 13 : alleene \| 1 \| little river county \| 71820 row 14 : allis \| 1 \| drew county \| None row 15 : alpha \| 1 \| yell county \| None row 16 : amy \| 1 \| ouachita county \| 71701 row 17 : andrews \| 1 \| white county \| None row 18 : anthony \| 1 \| hempstead county \| 71801 row 19 : anthony subdivision \| 1 \| crittenden county \| None row 20 : anthonyville \| 1 \| crittenden county \| 72301 row 21 : antioch \| 1 \| white county \| 72012 row 22 : apalco \| 1 \| lafayette county \| None row 23 : appleby \| 1 \| washington county \| None row 24 : applegate ford \| 1 \| carroll county \| None row 25 : arbaugh \| 1 \| newton county \| 72852 row 26 : arden \| 1 \| little river county \| 71822 row 27 : arkansas a and m \| 1 \| drew county \| None row 28 : arkansas polytechnic college \| 1 \| pope county \| None row 29 : arkansas state teachers college \| 1 \| faulkner county \| None row 30 : arkawana \| 1 \| baxter county \| None row 31 : arkinda \| 1 \| little river county \| 71836 row 32 : armstrong \| 1 \| sharp county \| 72482 row 33 : artesian \| 1 \| calhoun county \| None row 34 : artex \| 1 \| miller county \| None row 35 : artist point \| 1 \| crawford county \| None row 36 : asher \| 1 \| madison county \| 72727 row 37 : asher \| 1 \| pulaski county \| 72204 row 38 : ash flat \| 2 \| sharp county \| 72513 row 39 : ash flat \| 2 \| fulton county \| 72513 row 40 : ashton \| 1 \| chicot county \| 71653 row 41 : athelstan \| 1 \| mississippi county \| 72370 row 42 : athens \| 1 \| howard county \| 71971 row 43 : attica \| 1 \| randolph county \| 72455 row 44 : atwood \| 1 \| howard county \| None row 45 : aubrey \| 1 \| lee county \| 72311 row 46 : augsburg \| 1 \| pope county \| 72874 row 47 : augusta \| 1 \| woodruff county \| 72006 row 48 : austin \| 1 \| conway county \| 72027 row 49 : avery \| 1 \| lincoln county \| 71639 ] Execute this SQL based on the above table: select max ( lower zip code )	72874.0
[ header: rank \| wrestler \| no. of reigns \| combined days row 1 : 1 \| lou thesz \| 3 \| 3749 row 2 : 2 \| ric flair \| 8 \| 3103 row 3 : 3 \| harley race \| 7 \| 1799 row 4 : 4 \| dory funk, jr \| 1 \| 1563 row 5 : 5 \| dan severn \| 2 \| 1559 row 6 : 6 \| gene kiniski \| 1 \| 1131 row 7 : 7 \| adam pearce \| 5 \| 1078 row 8 : 8 \| jeff jarrett \| 6 \| 1006 row 9 : 9 \| pat o'connor \| 1 \| 903 row 10 : 10 \| jack brisco \| 2 \| 866 row 11 : 11 \| orville brown \| 1 \| 692 row 12 : 12 \| buddy rogers \| 1 \| 573 row 13 : 13 \| blue demon, jr \| 1 \| 505 row 14 : 14 \| naoya ogawa \| 2 \| 469 row 15 : 15 \| terry funk \| 1 \| 424 row 16 : 16 \| dick hutton \| 1 \| 421 row 17 : 17 \| rob conway \| 1 \| 294 row 18 : 18 \| christian cage \| 2 \| 245 row 19 : 19 \| whipper billy watson \| 1 \| 239 row 20 : 20 \| sting \| 2 \| 216 row 21 : 21 \| a.j. styles \| 3 \| 196 row 22 : 22 \| mike rapada \| 2 \| 176 row 23 : 23 \| steve corino \| 1 \| 175 row 24 : 24 \| colt cabana \| 2 \| 152 row 25 : 25 \| barry windham \| 1 \| 147 row 26 : 26 \| masahiro chono \| 1 \| 145 row 27 : 27 \| kahagas \| 1 \| 134 row 28 : 28 \| ron killings \| 2 \| 119 row 29 : 29 \| dusty rhodes \| 3 \| 107 row 30 : 30 \| chris candido \| 1 \| 97 row 31 : 31 \| raven \| 1 \| 88 row 32 : 32 \| satoshi kojima \| 1 \| 159 row 33 : 33 \| shinya hashimoto \| 1 \| 84 row 34 : 34 \| the sheik \| 1 \| 79 row 35 : 35 \| ricky steamboat \| 1 \| 76 row 36 : 36 \| ron garvin \| 1 \| 62 row 37 : 37 \| abyss \| 1 \| 56 row 38 : 39 \| ken shamrock \| 1 \| 49 row 39 : 39 \| brent albright \| 1 \| 49 row 40 : 40 \| the great muta \| 1 \| 48 row 41 : 41 \| sabu \| 1 \| 38 row 42 : 42 \| giant baba \| 3 \| 19 row 43 : 43 \| kerry von erich \| 1 \| 18 row 44 : 44 \| gary steele \| 1 \| 7 row 45 : 45 \| tommy rich \| 1 \| 4 row 46 : 46 \| rhino \| 1 \| 2 row 47 : 47 \| shane douglas \| 1 \| <1 ] Execute this SQL based on the above table: select count ( wrestler ) where no. of reigns > 818	0
[ header: constituency number \| name \| reserved for (sc/st/none) \| district \| number of electorates (2009) row 1 : 43 \| tikamgarh \| none \| tikamgarh \| 153339 row 2 : 44 \| jatara \| sc \| tikamgarh \| 145555 row 3 : 45 \| prithvipur \| none \| tikamgarh \| 139110 row 4 : 46 \| niwari \| none \| tikamgarh \| 141265 row 5 : 47 \| khargapur \| none \| tikamgarh \| 161546 row 6 : 48 \| maharajpur \| none \| chhatarpur \| 162460 row 7 : 51 \| chhatarpur \| none \| chhatarpur \| 152605 row 8 : 52 \| bijawar \| none \| chhatarpur \| 151159 row 9 : total \| total \| total \| total \| 1207.039 ] Execute this SQL based on the above table: select reserved for (sc/st/none) where number of electorates (2009) = '1207.039'	total
[ header: state \| type \| name \| title \| royal house \| from \| to row 1 : chu \| sovereign \| huai \| king \| mi \| 328 bc \| 299 bc row 2 : han \| sovereign \| xiang \| marquis \| None \| 311 bc \| 296 bc row 3 : lu \| sovereign \| wen ii \| duke \| ji \| 302 bc \| 280 bc row 4 : qi \| sovereign \| min \| king \| tian \| 300 bc \| 284 bc row 5 : qin \| sovereign \| zhaoxiang \| king \| ying \| 306 bc \| 251 bc row 6 : song \| sovereign \| kang \| king \| None \| 328 bc \| 286 bc row 7 : wei \| sovereign \| xiang \| king \| None \| 318 bc \| 296 bc row 8 : wey \| sovereign \| si jun \| marquis \| None \| 334 bc \| 293 bc row 9 : yan \| sovereign \| zhao \| king \| None \| 311 bc \| 279 bc row 10 : zhao \| sovereign \| wuling \| king \| None \| 325 bc \| 299 bc ] Execute this SQL based on the above table: select count ( * ) where from in ( 1258 , 1104 )	0
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select location where location in ( 'morocco' , 'burkina faso' ) order by uci rating desc limit 1	burkina faso
[ header: date \| opponent \| time \| score \| record row 1 : 10/9/2009 \| university of new hampshire \| 7 p.m \| loss, 4-0 \| 0-1-0 row 2 : 10/10/2009 \| boston college \| 5 p.m \| None \| None row 3 : 10/16/2009 \| providence college \| 7 p.m \| 1-4 \| None row 4 : 10/17/2009 \| university of connecticut \| 4 p.m \| None \| None row 5 : 10/23/2009 \| wayne state university \| 7 p.m \| None \| None row 6 : 10/24/2009 \| wayne state university \| 2 p.m \| None \| None row 7 : 10/30/2009 \| harvard university \| 7 p.m \| None \| None row 8 : 10/31/2009 \| dartmouth college \| 3:30 p.m \| None \| None row 9 : 11/6/2009 \| rensselaer \| 2:30 p.m \| None \| None row 10 : 11/7/2009 \| union college \| 2:30 p.m \| 4-0 \| None row 11 : 11/13/2009 \| st. lawrence university \| 7 p.m \| None \| None row 12 : 11/14/2009 \| clarkson university \| 4 p.m \| None \| None row 13 : 11/20/2009 \| quinnipiac university \| 7 p.m \| None \| None row 14 : 11/21/2009 \| princeton university \| 4 p.m \| None \| None row 15 : 11/24/2009 \| syracuse university \| 7 p.m \| None \| None row 16 : 11/27/2009 \| mercyhurst college \| 7 p.m \| None \| None row 17 : 11/28/2009 \| mercyhurst college \| 2 p.m \| None \| None row 18 : 12/4/2009 \| brown university \| 7 p.m \| None \| None row 19 : 12/5/2009 \| yale university \| 4 p.m \| None \| None row 20 : 1/2/2010 \| syracuse university \| 7 p.m \| None \| None row 21 : 1/8/2010 \| niagara university \| 7 p.m \| None \| None row 22 : 1/9/2010 \| niagara university \| 4 p.m \| None \| None row 23 : 1/15/2010 \| dartmouth college \| 7 p.m \| None \| None row 24 : 1/16/2010 \| harvard university \| 4 p.m \| None \| None row 25 : 1/22/2010 \| cornell university \| 3 p.m \| None \| None row 26 : 1/23/2010 \| cornell university \| 3 p.m \| None \| None row 27 : 1/29/2010 \| clarkson university \| 7 p.m \| None \| None row 28 : 1/30/2010 \| st. lawrence university \| 4 p.m \| None \| None row 29 : 2/5/2010 \| princeton university \| 7 p.m \| None \| None row 30 : 2/6/2010 \| quinnipiac university \| 4 p.m \| None \| None row 31 : 2/12/2010 \| yale university \| 7 p.m \| None \| None row 32 : 2/13/2010 \| brown university \| 4 p.m \| None \| None row 33 : 2/19/2010 \| union college \| 7 p.m \| 2-1 \| None row 34 : 2/20/2010 \| rensselaer \| 4 p.m \| None \| None ] Execute this SQL based on the above table: select date group by date order by count ( score ) desc limit 1	2/19/2010
[ header: year \| winner \| runner-up \| final score \| third row 1 : 1992 \| budivelnyk \| nki mykolaiv \| round-robin \| spartak lugansk row 2 : 1993 \| budivelnyk \| ska kyiv \| round-robin \| nki mykolaiv row 3 : 1994 \| budivelnyk \| kyiv-basket \| 3-0 \| bipa-moda odesa row 4 : 1995 \| budivelnyk \| kyiv-basket \| 3-0 \| shakhtar-asko donetsk row 5 : 1996 \| budivelnyk \| shakhtar donetsk \| round-robin \| kyiv-basket row 6 : 1997 \| budivelnyk \| bipa-moda odesa \| 3-2 \| kyiv-basket row 7 : 1998 \| bipa-moda odesa \| budivelnyk \| 3-0 \| sc mykolaiv row 8 : 1999 \| bipa-moda odesa \| cska-riko kyiv \| 3-2 \| budivelnyk row 9 : 2000 \| kyiv \| mbc odesa \| 3-2 \| cska-ukrtatna row 10 : 2001 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 11 : 2002 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 12 : 2003 \| azovmash \| mbc odesa \| 4-0 \| kyiv row 13 : 2004 \| azovmash \| kyiv \| 4-2 \| mbc odesa row 14 : 2005 \| kyiv \| azovmash \| 3-0 \| khimik row 15 : 2006 \| azovmash \| kyiv \| 3-1 \| khimik row 16 : 2007 \| azovmash \| kyiv \| 3-2 \| khimik row 17 : 2008 \| azovmash \| kyiv \| 3-1 \| khimik row 18 : 2009 \| azovmash \| donetsk \| 3-0 \| khimik row 19 : 2010 \| azovmash \| budivelnyk \| 3-2 \| ferro-zntu row 20 : 2011 \| budivelnyk \| donetsk \| 4-3 \| hoverla row 21 : 2012 \| donetsk \| azovmash \| 4-0 \| ferro-zntu row 22 : 2013 \| budivelnyk \| azovmash \| 4-3 \| ferro-zntu ] Execute this SQL based on the above table: select final score where year = 1993	round-robin
[ header: weapon name \| caliber (mm) \| range (max) \| warhead row 1 : m-8 \| 82 mm \| 5,900 m (6,500 yd \| 0.64 kg (1.4 lb) row 2 : m-13 \| 132 mm \| 8,740 m (9,560 \| 4.9 kg (11 lb) row 3 : m-13dd \| 132 mm \| 11,800 m (12,900 yd \| 4.9 kg (11 lb) row 4 : m-13uk \| 132 mm \| 7,900 m (8,600 yd \| 4.9 kg (11 lb) row 5 : m-20 \| 132 mm \| 5,050 m (5,520 y \| 18.4 kg (41 lb) row 6 : m-30 \| 300 mm \| 2,800 m (3,100 yd \| 28.9 kg (64 lb) row 7 : m-31 \| 300 mm \| 4,325 m (4,730 \| 28.9 kg (64 lb) row 8 : m-31uk \| 300 mm \| 4,000 m (4,400 yd \| 28.9 kg (64 lb) ] Execute this SQL based on the above table: select weapon name where id = 1	m-8
[ header: name \| pos. \| caps \| goals \| club row 1 : olle ahlund \| mf \| 6 \| 0 \| degerfors if row 2 : henry andersson \| gk \| 2 \| 0 \| ifk goteborg row 3 : bertil backvall \| fw \| 1 \| 0 \| hammarby if stockholm row 4 : henry "garvis" carls \| fw \| 5 \| 4 \| aik solna row 5 : arvid "emma" eman \| mf \| 5 \| 0 \| if elfsborg boras row 6 : rune "killing" emanu \| mf/df \| 3 \| 0 \| ifk goteborg row 7 : karl-erik grahn \| mf \| 4 \| 1 \| if elfsborg boras row 8 : gunnar "il professore" gren \| fw \| 6 \| 9 \| ifk goteborg row 9 : erik "mulle" holm \| fw \| 2 \| 1 \| ifk norrkoping row 10 : oskar "masse" hol \| df \| 2 \| 0 \| ifk norrkoping row 11 : ove karlsson-wid \| df \| 1 \| 0 \| aik solna row 12 : borje leander \| df/mf \| 4 \| 0 \| aik solna row 13 : gosta malm \| df \| 2 \| 0 \| ifk norrkoping row 14 : malte "svarta bli \| fw \| 1 \| 0 \| halsingborgs if row 15 : harry nilsson \| df \| 6 \| 0 \| aik solna row 16 : stellan nilsson \| fw \| 2 \| 1 \| malmo ff row 17 : bertil nordahl \| df/mf \| 2 \| 0 \| degerfors if row 18 : gunnar nordahl \| fw \| 5 \| 6 \| ifk norrkoping row 19 : knut nordahl \| fw \| 2 \| 0 \| ifk norrkoping row 20 : arne nyberg \| fw \| 6 \| 4 \| ifk goteborg row 21 : stig nystrom \| fw \| 1 \| 1 \| djurgardens if stockhol row 22 : vincent persson \| fw \| 1 \| 1 \| degerfors if row 23 : birger "bian" rosengren \| mf \| 1 \| 0 \| ifk norrkoping row 24 : carl-erik "pigge" \| fw \| 1 \| 0 \| malmo ff row 25 : carl "timpa" simons \| fw \| 1 \| 0 \| jonkopings sodra if row 26 : gustav "gurra" s \| gk \| 6 \| 0 \| aik solna row 27 : borje tapper \| fw \| 1 \| 5 \| malmo ff row 28 : lennart "skinnet" \| mf \| 1 \| 0 \| ifk norrkoping ] Execute this SQL based on the above table: select caps where caps = 1	1, 1, 1, 1, 1, 1, 1, 1, 1, 1
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select count ( year ) where track = 'pukekohe park raceway'	8
[ 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 order by tms. desc limit 1	round of 32
[ header: club \| nickname \| no. of premierships \| premiership years \| moved to row 1 : calleen (previously hiawath \| blues \| 0 \| none \| disbanded in 1932 row 2 : condobolin-milby \| kangaroos \| 3 \| 1966-67, 1990 \| disbanded in 2003 row 3 : four corners \| redlegs \| 13 \| 1928-29-30-31-32, 1937, 1949 \| disbanded in 1994 row 4 : kikoira \| None \| 2 \| 1940-41 \| disbanded row 5 : lake cargelligo \| swans \| 0 \| none \| amalgamated with lake cargelligo tig row 6 : parkes \| panthers \| 0 \| none \| central west afl in 2008 row 7 : tallimba \| hawks \| 0 \| none \| disbanded in 1987 row 8 : west milby \| None \| 1 \| 1936 \| disbanded row 9 : young \| saints \| 0 \| none \| central west afl ] Execute this SQL based on the above table: select nickname order by no. of premierships limit 80	blues, swans, panthers, hawks, saints, kangaroos, redlegs
[ header: lower mississippi periods \| lower yazoo phases \| lower yazoo dates \| tensas/natchez phases \| cahokia phases \| cahokia dates \| ohio/miss. river confluence phases \| ohio/miss. dates row 1 : historic \| russell \| 1650-1750 ce \| tensas / nat \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 2 : plaquemine mississippian culture late \| wasp lake \| 1400-1650 ce \| transylvania / emer \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 3 : plaquemine mississippian culture late \| lake george \| 1300-1400 ce \| fitzhugh / foster \| sand prairie \| 1275-1350 ce \| medley phase \| 1300-1500 ce row 4 : plaquemine mississippian culture late \| winterville \| 1200-1300 ce \| routh / anna \| moorehead \| 1200-1275 ce \| dorena \| 1100-1300 ce row 5 : transitional coles creek \| crippen point \| 1050-1200 ce \| preston / gordon \| lohmann sterling \| 1050-1200 ce \| dorena \| 1100-1300 ce row 6 : coles creek culture late coles creek middle co \| kings crossing \| 950-1050 ce \| balmoral \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 7 : coles creek culture late coles creek middle co \| aden \| 800-950 ce \| ballina \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 8 : coles creek culture late coles creek middle co \| bayland \| 600-800 ce \| sundown \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 9 : baytown/troyville baytown 2 bay \| deasonville \| 500-600 ce \| marsden \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 10 : baytown/troyville baytown 2 bay \| little sunflower \| 400-500 ce \| indian bayou \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 11 : marksville culture late marksville early marksville \| issaquena \| 200-400 ce \| issaquena \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 12 : marksville culture late marksville early marksville \| anderson landing \| 0-200 ce \| point lake/ grand gulf \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 13 : tchefuncte culture \| tuscola \| 400 bce-0 ce \| panther lake \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 14 : jaketown \| poverty point \| 700- 400 bce \| frasier \| early woodland \| 700-200 bce \| o'bryan ridge \| 700-550 bce row 15 : None \| poverty point \| 1000-700 bce \| None \| late archaic \| 1000 - 200 bce \| o'bryan ridge \| 700-550 bce ] Execute this SQL based on the above table: select count ( lower mississippi periods )	14
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| emerson fittipaldi \| mclaren-ford \| 53 \| 1:39:26.29 \| 5 \| 9 row 2 : 2 \| 24 \| james hunt \| hesketh-ford \| 53 \| + 5.91 \| 6 \| 6 row 3 : 3 \| 7 \| carlos reutemann \| brabham-ford \| 53 \| + 17.06 \| 3 \| 4 row 4 : 4 \| 11 \| clay regazzoni \| ferrari \| 53 \| + 35.79 \| 7 \| 3 row 5 : 5 \| 4 \| patrick depailler \| tyrrell-ford \| 53 \| + 54.25 \| 8 \| 2 row 6 : 6 \| 12 \| niki lauda \| ferrari \| 53 \| + 1:19.65 \| 4 \| 1 row 7 : 7 \| 28 \| mark donohue \| penske-ford \| 52 \| + 1 lap \| 16 \| None row 8 : 8 \| 6 \| jacky ickx \| lotus-ford \| 52 \| + 1 lap \| 18 \| None row 9 : 9 \| 9 \| vittorio brambilla \| march-ford \| 52 \| + 1 lap \| 12 \| None row 10 : 10 \| 22 \| graham hill \| lola-ford \| 52 \| + 1 lap \| 21 \| None row 11 : 11 \| 3 \| jody scheckter \| tyrrell-ford \| 52 \| + 1 lap \| 9 \| None row 12 : 12 \| 16 \| tom pryce \| shadow-ford \| 51 \| transmission \| 14 \| None row 13 : 13 \| 23 \| rolf stommelen \| lola-ford \| 51 \| + 2 laps \| 19 \| None row 14 : 14 \| 2 \| jochen mass \| mclaren-ford \| 50 \| + 3 laps \| 13 \| None row 15 : ret \| 8 \| carlos pace \| brabham-ford \| 46 \| engine \| 2 \| None row 16 : nc \| 20 \| arturo merzario \| williams-ford \| 44 \| not classified \| 20 \| None row 17 : ret \| 27 \| mario andretti \| parnelli-ford \| 27 \| transmission \| 10 \| None row 18 : ret \| 14 \| mike wilds \| brm \| 24 \| engine \| 22 \| None row 19 : ret \| 5 \| ronnie peterson \| lotus-ford \| 15 \| engine \| 11 \| None row 20 : ret \| 21 \| jacques laffite \| williams-ford \| 15 \| gearbox \| 17 \| None row 21 : ret \| 30 \| wilson fittipaldi \| fittipaldi-ford \| 12 \| accident \| 23 \| None row 22 : dsq \| 18 \| john watson \| surtees-ford \| 6 \| disqualified \| 15 \| None row 23 : dns \| 17 \| jean-pierre jarier \| shadow-ford \| 0 \| transmission \| 1 \| None ] Execute this SQL based on the above table: select grid where pos = 11	9.0
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select team where team in ( 'sd' , 'den' ) order by longest kickoff return desc limit 1	den
[ 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 # where pts = 47	47, 48, 49
[ header: player \| played \| legs won \| legs lost \| lwat \| 100+ \| 140+ \| 180s \| high checkout \| 3-dart average row 1 : phil taylor \| 5 \| 74 \| 20 \| 34 \| 130 \| 77 \| 44 \| 144 \| 105.73 row 2 : raymond van barneveld \| 3 \| 35 \| 30 \| 9 \| 85 \| 43 \| 17 \| 126 \| 98.10 row 3 : gary anderson \| 2 \| 17 \| 19 \| 4 \| 42 \| 28 \| 10 \| 151 \| 97.98 row 4 : kevin painter \| 2 \| 13 \| 16 \| 5 \| 32 \| 18 \| 8 \| 130 \| 96.71 row 5 : mervyn king \| 4 \| 45 \| 38 \| 16 \| 112 \| 66 \| 18 \| 147 \| 96.30 row 6 : co stompe \| 1 \| 7 \| 10 \| 2 \| 26 \| 9 \| 4 \| 127 \| 95.84 row 7 : james wade \| 3 \| 33 \| 26 \| 10 \| 75 \| 47 \| 12 \| 153 \| 95.73 row 8 : andy smith \| 1 \| 5 \| 10 \| 1 \| 19 \| 15 \| 1 \| 112 \| 95.29 row 9 : terry jenkins \| 5 \| 61 \| 58 \| 20 \| 157 \| 80 \| 26 \| 131 \| 94.08 row 10 : adrian lewis \| 3 \| 26 \| 28 \| 13 \| 63 \| 40 \| 13 \| 156 \| 93.69 row 11 : ronnie baxter \| 4 \| 54 \| 49 \| 18 \| 142 \| 49 \| 19 \| 132 \| 93.35 row 12 : alan tabern \| 2 \| 24 \| 21 \| 8 \| 66 \| 32 \| 7 \| 157 \| 92.68 row 13 : steve beaton \| 2 \| 18 \| 20 \| 8 \| 52 \| 23 \| 5 \| 110 \| 92.58 row 14 : vincent van der voort \| 3 \| 29 \| 28 \| 9 \| 71 \| 42 \| 13 \| 131 \| 92.57 row 15 : jelle klaasen \| 1 \| 8 \| 10 \| 2 \| 24 \| 4 \| 4 \| 71 \| 92.19 row 16 : mark walsh \| 2 \| 21 \| 18 \| 9 \| 49 \| 26 \| 9 \| 121 \| 92.02 row 17 : wes newton \| 1 \| 3 \| 10 \| 1 \| 16 \| 3 \| 5 \| 96 \| 91.92 row 18 : michael van gerwen \| 1 \| 3 \| 10 \| 0 \| 14 \| 6 \| 1 \| 126 \| 91.26 row 19 : andy hamilton \| 1 \| 6 \| 10 \| 2 \| 21 \| 7 \| 4 \| 120 \| 91.18 row 20 : denis ovens \| 2 \| 22 \| 19 \| 12 \| 64 \| 32 \| 5 \| 125 \| 90.63 row 21 : wayne jones \| 1 \| 7 \| 10 \| 4 \| 26 \| 12 \| 4 \| 121 \| 90.06 row 22 : peter wright \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 2 \| 96 \| 89.39 row 23 : colin osborne \| 1 \| 7 \| 10 \| 4 \| 18 \| 13 \| 2 \| 116 \| 89.18 row 24 : dennis priestley \| 1 \| 5 \| 10 \| 3 \| 22 \| 13 \| 2 \| 84 \| 89.06 row 25 : robert thornton \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 3 \| 56 \| 88.88 row 26 : mark dudbridge \| 1 \| 7 \| 10 \| 5 \| 17 \| 10 \| 3 \| 109 \| 88.28 row 27 : wayne mardle \| 2 \| 16 \| 14 \| 6 \| 36 \| 22 \| 4 \| 115 \| 87.27 row 28 : jamie caven \| 1 \| 3 \| 10 \| 0 \| 13 \| 6 \| 2 \| 120 \| 86.95 row 29 : john part \| 1 \| 6 \| 10 \| 2 \| 19 \| 5 \| 4 \| 76 \| 86.62 ] Execute this SQL based on the above table: select count ( player )	29
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select position order by id desc limit 1	rhp

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[ 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 constructor = 'mclaren-honda'	10
[ 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 iso 3166-2:af = 'af-day'	10
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select gold order by event desc limit 1	inna lasovskaya (rus)
[ header: airline \| airline (in russian) \| licence # \| icao \| iata \| domestic code \| callsign \| photo row 1 : aeroservice \| ооо «авиаком \| 408 \| None \| None \| юг \| None \| None row 2 : altay airlines \| алтаиское крае \| 333 \| None \| None \| бш \| None \| None row 3 : bural \| оао «авиаком \| 218 \| bun \| u4 \| бю \| bural \| None row 4 : flight inspections and systems \| зао «летные \| 467 \| lts \| None \| лт \| specair \| None row 5 : globus \| ооо «глобус \| 515 \| glp \| gh \| гл \| globus \| None row 6 : grozny avia \| оао «авиаком \| 519 \| goz \| zg \| гг \| groznyy avia \| None row 7 : i-fly \| ооо «аи фла \| 533 \| rsy \| h5 \| фл \| russian sky \| None row 8 : iraero \| зао «авиаком \| 480 \| iae \| io \| рд \| iraero \| None row 9 : kogalymavia \| ооо «авиаком \| 165 \| kgl \| 7k \| 7к \| kogalym \| None row 10 : mbks \| оао «мбк-с \| None \| plg \| None \| None \| pilgrim \| None row 11 : orenburg tsentralny airport \| федеральное \| 539 \| org \| o7 \| уэ \| orenavia \| None row 12 : panh aircompany \| ооо «авиаци \| 542 \| None \| None \| шс \| None \| None row 13 : polar airlines \| оао «авиаком \| 538 \| rka \| None \| яп \| air sakha \| None row 14 : rossiya \| оао «авиаком \| 2 \| sdm \| fv \| пл \| russia \| None row 15 : sokol \| зао «авиаком \| 284 \| piv \| None \| юп \| aerosokol \| None row 16 : utair express \| ооо «ютэир \| 504 \| utx \| ur \| юр \| kominter \| None ] Execute this SQL based on the above table: select abs ( ( select licence # where airline (in russian) = 'зао «авиакомпания «ираэро»' ) - ( select licence # where airline (in russian) = 'оао «авиакомпания «россия»' ) )	478.0
[ header: polling firm \| month \| link \| favor \| oppose row 1 : rutgers-eagleton \| march 2014 \| None \| 64 \| 28 row 2 : quinnipiac \| july 2013 \| None \| 60 \| 31 row 3 : rutgers-eagleton \| june 2013 \| None \| 59 \| 30 row 4 : quinnipiac \| march 2013 \| None \| 64 \| 30 row 5 : public policy polling \| november 2012 \| None \| 53 \| 36 row 6 : quinnipiac \| february 2012 \| None \| 57 \| 37 row 7 : rutgers-eagleton \| february 2012 \| None \| 54 \| 35 row 8 : quinnipiac \| january 2012 \| None \| 52 \| 42 row 9 : rutgers-eagleton \| october 2011 \| None \| 52 \| 39 row 10 : rutgers-eagleton \| august 2011 \| None \| 52 \| 32 row 11 : public policy polling \| july 2011 \| None \| 47 \| 42 row 12 : quinnipiac \| november 2009 \| None \| 46 \| 49 row 13 : rutgers-eagleton \| november 2009 \| None \| 50 \| 42 row 14 : quinnipiac \| april 2009 \| None \| 49 \| 43 row 15 : zogby international \| august 2008 \| None \| 50 \| 42 row 16 : zogby international \| august 2007 \| None \| 48.1 \| 44.6 row 17 : rasmussen reports \| july 2006 \| None \| 42 \| 54 row 18 : rutgers-eagleton \| june 2006 \| pdf \| 49 \| 44 row 19 : zogby international \| february 2006 \| None \| 56 \| 39 row 20 : zogby international \| april 2005 \| html \| 54.5 \| 40.1 row 21 : rutgers-eagleton \| september 2003 \| pdf \| 43 \| 50 row 22 : zogby international \| july 2003 \| None \| 55 \| 41 ] Execute this SQL based on the above table: select ( select favor where polling firm = 'zogby international' ) - ( select favor where polling firm = 'rasmussen reports' )	8.0
[ header: round \| # \| player \| position \| nationality \| college/junior/club team (league) row 1 : 1 \| 7 \| kyle okposo \| right wing \| united states \| des moines buccaneers (ushl row 2 : 2 \| 60 \| jesse joensuu \| wing \| finland \| assat (sm-liiga row 3 : 3 \| 70 \| robin figren \| wing \| sweden \| frolunda hc (e row 4 : 4 \| 100 \| rhett rakhshan \| right wing \| united states \| university of denver(ncaa) row 5 : 4 \| 108 \| jase weslosky \| goalie \| canada \| sherwood park crusaders ( row 6 : 4 \| 115 \| tomas marcinko \| center \| slovakia \| hc kosice (slovak row 7 : 4 \| 119 \| doug rogers \| center \| united states \| saint sebastian's school (independent row 8 : 5 \| 141 \| kim johansson \| wing \| sweden \| malmo jr row 9 : 6 \| 160 \| andrew macdonald \| defenceman \| canada \| moncton wildcats (qm row 10 : 6 \| 171 \| brian day \| right wing \| united states \| governor dummer (independent school league) row 11 : 6 \| 173 \| stefan ridderwall \| goalie \| sweden \| djurgarden jr. ( row 12 : 7 \| 190 \| troy mattila \| left wing \| united states \| springfield jr. blues (nah ] Execute this SQL based on the above table: select # order by # desc limit 1	70
[ header: district \| name \| party \| district office \| first elected row 1 : 1 \| a.g. crowe \| rep \| slidell \| 2007 row 2 : 2 \| troy brown \| dem \| napoleonville \| 2011 row 3 : 3 \| j.p. morrell \| dem \| new orleans \| 2008 row 4 : 4 \| ed murray \| dem \| new orleans \| 2005 row 5 : 5 \| karen carter peterson \| dem \| new orleans \| 2010 row 6 : 6 \| bodi white \| rep \| baton rouge \| 2011 row 7 : 7 \| david heitmeier \| dem \| new orleans \| 2007 row 8 : 8 \| john alario \| rep \| westwego \| 2007 row 9 : 9 \| conrad appel \| rep \| metairie \| 2008 row 10 : 10 \| daniel martiny \| rep \| metairie \| 2007 row 11 : 11 \| jack donahue \| rep \| mandeville \| 2007 row 12 : 12 \| ben nevers \| dem \| bogalusa \| 2003 row 13 : 13 \| dale m. erdey \| rep \| livingston \| 2007 row 14 : 14 \| yvonne dorsey- \| dem \| baton rouge \| 2007 row 15 : 15 \| sharon weston broome \| dem \| baton rouge \| 2004 row 16 : 16 \| dan claitor \| rep \| baton rouge \| 2009 row 17 : 17 \| rick ward, iii \| rep \| port allen \| 2011 row 18 : 18 \| jody amedee \| rep \| gonzales \| 2003 row 19 : 19 \| gary smith, jr \| dem \| norco \| 2011 row 20 : 20 \| norby chabert \| rep \| houma \| 2009 row 21 : 21 \| bret allain \| rep \| franklin \| 2011 row 22 : 22 \| fred h. mills, \| rep \| new iberia \| 2011 row 23 : 23 \| page cortez \| rep \| lafayette \| 2011 row 24 : 24 \| elbert guillory \| rep \| opelousas \| 2009 row 25 : 25 \| dan "blade" morrish \| rep \| jennings \| 2007 row 26 : 26 \| jonathan perry \| rep \| kaplan \| 2011 row 27 : 27 \| ronnie johns \| rep \| lake charles \| 2011 row 28 : 28 \| eric lafleur \| dem \| ville platte \| 2007 row 29 : 29 \| rick gallot \| dem \| ruston \| 2011 row 30 : 30 \| john r. smith \| rep \| leesville \| 2007 row 31 : 31 \| gerald long \| rep \| winnfield \| 2007 row 32 : 32 \| neil riser \| rep \| columbia \| 2007 row 33 : 33 \| mike walsworth \| rep \| west monroe \| 2007 row 34 : 34 \| francis c. thomp \| dem \| delhi \| 2007 row 35 : 35 \| robert kostelka \| rep \| monroe \| 2003 row 36 : 36 \| robert adley \| rep \| benton \| 2003 row 37 : 37 \| barrow peacock \| rep \| bossier \| 2011 row 38 : 38 \| sherri smith buffington \| rep \| keithville \| 2003 row 39 : 39 \| gregory tarver \| dem \| shreveport \| 2011 ] Execute this SQL based on the above table: select count ( * ) where first elected = 2011	12
[ header: no. \| score \| player \| team \| balls \| inns. \| opposing team \| date \| result row 1 : 1 \| 325 \| andy sandham \| england \| 640 \| 1 \| west indies \| 3 april 1930 \| drawn row 2 : 4 \| 270 \| george headley (2/2) \| west indies \| nr \| 1 \| england \| 14 march 1935 \| won row 3 : 6 \| 141 \| everton weekes (1/2) \| west indies \| nr \| 2 \| england \| 27 march 1948 \| won row 4 : 9 \| 237 \| frank worrell \| west indies \| nr \| 2 \| india \| 28 march 1953 \| drawn row 5 : 12 \| 150 \| pankaj roy \| india \| nr \| 3 \| west indies \| 28 march 1953 \| drawn row 6 : 14 \| 116 \| willie watson \| england \| nr \| 4 \| west indies \| 15 january 1954 \| lost row 7 : 16 \| 116 \| clyde walcott (2/5) \| west indies \| nr \| 3 \| england \| 30 march 1954 \| lost row 8 : 19 \| 108 \| clyde walcott (3/5) \| west indies \| nr \| 2 \| australia \| 26 march 1955 \| lost row 9 : 21 \| 155 \| clyde walcott (4/5) \| west indies \| nr \| 1 \| australia \| 11 june 1955 \| lost row 10 : 24 \| 109 \| keith miller (2/2) \| australia \| nr \| 2 \| west indies \| 11 june 1955 \| won row 11 : 25 \| 128 \| ron archer \| australia \| nr \| 2 \| west indies \| 11 june 1955 \| won row 12 : 27 \| 110 \| clyde walcott (5/5) \| west indies \| nr \| 3 \| australia \| 11 june 1955 \| lost row 13 : 31 \| 106 \| wazir mohammad \| pakistan \| nr \| 3 \| west indies \| 26 february 1958 \| lost row 14 : 32 \| 114 \| colin cowdrey (1/2) \| england \| nr \| 1 \| west indies \| 17 february 1960 \| drawn row 15 : 33 \| 147 \| garfield sobers (2/5) \| west indies \| nr \| 2 \| england \| 17 february 1960 \| drawn row 16 : 41 \| 158 \| rohan kanhai (2/ \| west indies \| nr \| 3 \| india \| 18 february 1971 \| drawn row 17 : 42 \| 163 \| roy fredericks \| west indies \| nr \| 1 \| new zealand \| 16 february 1972 \| drawn row 18 : 45 \| 100 \| lawrence rowe (2/3) \| west indies \| nr \| 3 \| new zealand \| 16 february 1972 \| drawn row 19 : 46 \| 101 \| mark burgess \| new zealand \| nr \| 4 \| west indies \| 16 february 1972 \| drawn row 20 : 48 \| 142 \| keith stackpole \| australia \| nr \| 3 \| west indies \| 16 february 1973 \| drawn row 21 : 56 \| 153 \| graham gooch \| england \| 213 \| 1 \| west indies \| 10 april 1981 \| drawn row 22 : 58 \| 127 \| gordon greenidge (2/2) \| west indies \| 193 \| 2 \| australia \| 28 april 1984 \| won row 23 : 61 \| 156 \| richie richardson (1/3) \| west indies \| 314 \| 2 \| india \| 28 april 1989 \| won row 24 : 62 \| 110 \| viv richards \| west indies \| 178 \| 2 \| india \| 28 april 1989 \| won row 25 : 65 \| 104 \| richie richardson (2/3) \| west indies \| 233 \| 3 \| australia \| 1 may 1991 \| drawn ] Execute this SQL based on the above table: select team where score = ( select min ( score ) )	west indies
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select silver where id = ( select id where silver = 'silke knoll (ger)' ) + 1	tatyana alekseyeva (rus)
[ header: school \| conference \| record (conference) \| head coach \| cws appearances \| cws best finish \| cws record row 1 : arizona \| None \| 36-8 (n/a) \| frank sancet \| 4 (last: 1958) \| 2nd (1956) \| 7-8 row 2 : clemson \| acc \| 23 -6 (11-5, 0 \| bill wilhelm \| 1 (last: 1958) \| 5th (1958) \| 1-2 row 3 : colorado state \| None \| 24-5 (n/a) \| pete butler \| 5 (last: 1958) \| 5th (1955) \| 2-10 row 4 : connecticut \| None \| 20-1 (n/a) \| j. orlean christian \| 1 (last: 1957) \| 5th (1957) \| 1-2 row 5 : fresno state \| None \| 38-11 (n/a) \| pete beiden \| 0 (last: none) \| none \| 0-0 row 6 : oklahoma state \| big 8 \| 22-4 (17-3, 0 gb \| toby greene \| 2 (last: 1955) \| 3rd (1955) \| 5-4 row 7 : penn state \| None \| 15-4 (n/a) \| joe bedenk \| 2 (last: 1957) \| 2nd (1957) \| 5-4 row 8 : western michigan \| mac \| 24-7 (8-2, 0 gb \| charlie maher \| 3 (last: 1958) \| 2nd (1955) \| 7-6 ] Execute this SQL based on the above table: select cws best finish where head coach = 'frank sancet'	2nd (1956)
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1969 \| los angeles, u.s \| hard \| jim mcmanus \| pancho gonzales ron \| 3-6, 4-6 row 2 : runner-up \| 2 \| 1970 \| merion, u.s \| hard \| jim mcmanus \| william bowrey ray ruf \| 6-3, 2-6, 5-7 row 3 : winner \| 1 \| 1971 \| columbus, u.s \| hard \| jim mcmanus \| jimmy connors ros \| 4-6, 7-5, 6-2 row 4 : winner \| 2 \| 1971 \| merion, u.s \| hard \| clark graebner \| robert mckinley \| 7-6, 6-3 row 5 : winner \| 3 \| 1971 \| sacramento, u. \| hard \| jim mcmanus \| bob maud frew m \| 7-6, 6-3 row 6 : winner \| 4 \| 1972 \| los angeles, u.s \| outdoor \| jim mcmanus \| ilie nastase i \| 6-2, 5-7, 6-4 row 7 : winner \| 5 \| 1972 \| london/queen's club \| grass \| jim mcmanus \| jurgen fassbender karl me \| 4-6, 6-3, 7-5 row 8 : runner-up \| 3 \| 1972 \| tanglewood, u.s \| other \| jim mcmanus \| bob hewitt andrew \| 4-6, 4-6 ] Execute this SQL based on the above table: select distinct surface where surface in ( 'other' , 'hard' )	hard, other
[ header: date \| result \| opponent \| event \| location \| method \| round \| time row 1 : 2013-12-14 \| loss \| mohamed diaby \| victory, semi finals \| paris, france \| decision \| 3 \| 3:00 row 2 : 2013-03-09 \| None \| juanma chacon \| enfusion live: barcelona \| barcelona, spain \| None \| None \| None row 3 : 2012-05-27 \| loss \| murthel groenhart \| k-1 world max 2012 world championship tournament final \| madrid, spain \| ko (punches) \| 3 \| 3:00 row 4 : 2012-02-11 \| win \| francesco tadiello \| sporthal de zandbergen \| sint-job-in-'t- \| ko \| 1 \| None row 5 : 2012-01-28 \| win \| chris ngimbi \| it's showtime 2012 in leeu \| leeuwarden, netherlands \| tko (cut) \| 2 \| 1:22 row 6 : 2011-09-24 \| loss \| andy souwer \| bfn group & music hall presents \| brussels, belgium \| extra round decision (split) \| 4 \| 3:00 row 7 : 2011-04-09 \| win \| lahcen ait ouss \| le grande ko xi \| liege, belgium \| ko \| 1 \| None row 8 : 2011-02-12 \| win \| henri van opstal \| war of the ring \| amsterdam, netherlands \| decision (unanimous) \| 3 \| 3:00 row 9 : 2010-09-10 \| win \| edson fortes \| ring sensation gala \| utrecht, netherlands \| decision \| 3 \| 3:00 row 10 : 2010-03-21 \| loss \| mohamed khamal \| k-1 world max 2010 west europe tournament \| utrecht, netherlands \| ko (punch) \| 2 \| None row 11 : 2009-11-21 \| win \| seo doo won \| it's showtime 2009 barneveld \| barneveld, netherlands \| tko (referee stop \| 1 \| None row 12 : 2009-09-24 \| win \| chris ngimbi \| it's showtime 2009 lommel \| lommel, belgium \| extra round decision \| 4 \| 4:00 row 13 : 2009-04-11 \| win \| farid riffi \| almelo fight for delight \| almelo, netherlands \| tko \| None \| None row 14 : 2009-03-14 \| win \| viktor sarezki \| war of the ring \| belgium \| ko (punch to the body) \| 1 \| None row 15 : 2009-02-21 \| win \| pedro sedarous \| turnhout gala \| turnhout, belgium \| decision \| 5 \| 3:00 row 16 : 2009-01-31 \| win \| dahou naim \| tielrode gala \| tielrode, belgium \| 2nd extra round decision \| 5 \| 3:00 row 17 : 2008-09-20 \| win \| abdallah mabel \| s-cup europe 2008, reserve bout \| gorinchem, netherlands \| decision \| 3 \| 3:00 row 18 : 2008-09-14 \| win \| jordy sloof \| the outland rumble \| rotterdam, netherlands \| ko (right cross) \| 1 \| None row 19 : 2008-03-08 \| win \| naraim ruben \| lommel gala \| lommel, belgium \| tko (retirement) \| 3 \| None row 20 : 2008-02-23 \| win \| pierre petit \| st. job gala \| st. job, belgium \| ko (right punch) \| 2 \| None ] Execute this SQL based on the above table: select method order by time desc limit 1	extra round decision
[ header: year \| album \| song \| duration \| artist row 1 : 2010 \| trax mini album volume up \| "healing" \| None \| with trax row 2 : 2010 \| oh! \| "boys & girls" \| None \| with girls' generation row 3 : 2010 \| 1st asia tour "into the \| "barbie girl" \| None \| duet with jessica row 4 : 2012 \| history of salary man ost \| "bravo" \| 03:12 \| duet with leeteuk row 5 : 2012 \| one dream (single) \| "one dream" \| 02:29 \| with boa & henry row 6 : 2012 \| mama \| "two moons" \| 02:59 \| with exo row 7 : 2012 \| only one \| "one dream" \| 02:29 \| with boa & henry row 8 : 2014 \| toheart \| "delicious" \| None \| duet with woohyun from infinite ] Execute this SQL based on the above table: select artist order by song desc limit 1	with exo
[ header: wicket \| score \| batting partners \| opposition \| venue \| year \| link row 1 : 1st \| 375 \| ra white & mj po \| gloucestershire \| northampton \| 2002 \| row 2 : 2nd \| 344 \| g cook & rj boyd \| lancashire \| northampton \| 1986 \| row 3 : 3rd \| 393 \| a fordham & aj \| yorkshire \| leeds \| 1990 \| row 4 : 4th \| 370 \| rt virgin & p wille \| somerset \| northampton \| 1976 \| row 5 : 5th \| 401 \| mb loye & d \| glamorgan \| northampton \| 1998 \| row 6 : 6th \| 376 \| r subba row & a \| surrey \| the oval \| 1958 \| row 7 : 7th \| 293 \| djg sales & d \| essex \| northampton \| 1999 \| row 8 : 8th \| 179 \| aj hall & jd middle \| surrey \| the oval \| 2011 \| row 9 : 9th \| 156 \| r subba row & s \| lancashire \| northampton \| 1955 \| row 10 : 10th \| 148 \| bw bellamy & j \| glamorgan \| northampton \| 1925 \| ] Execute this SQL based on the above table: select count ( link ) where link = 552	0
[ header: party \| votes \| % \| seats \| +/- row 1 : liberal democratic league \| 164376 \| 28.2 \| 34 \| 8 row 2 : anti revolutionary party \| 143843 \| 24.7 \| 15 \| -7 row 3 : general league of roman catholic caucuses \| 76605 \| 13.1 \| 25 \| 0 row 4 : social democratic workers' party \| 65561 \| 11.2 \| 7 \| 0 row 5 : christian historicals \| 62770 \| 10.8 \| 8 \| -2 row 6 : free-thinking democratic league \| 51595 \| 8.8 \| 11 \| 2 row 7 : other parties \| 18638 \| 3.2 \| 0 \| -1 row 8 : invalid/blank votes \| None \| None \| None \| None row 9 : total \| 583388 \| 100 \| 100 \| 0 row 10 : registered voters/turnout \| 752692 \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where party = 'liberal democratic league'	1
[ header: institution \| location \| founded \| type \| enrollment \| joined \| nickname row 1 : bryan college \| dayton, tennessee \| 1930 \| private (non-denominational) \| 1044 \| 2001 \| lions row 2 : columbia college \| columbia, south carolina \| 1854 \| private (methodist) \| 1200 \| 2011 \| fighting koalas row 3 : milligan college \| elizabethton, \| 1866 \| private (disciples of christ) \| 1006 \| 2001 \| buffaloes row 4 : montreat college \| montreat, north carolina \| 1916 \| private (presbyterian) \| 1145 \| 2001 \| cavaliers row 5 : point university \| west point, georgia \| 1937 \| private (christian churches and churches of \| 1000 \| 2011 \| skyhawks row 6 : reinhardt university \| waleska, georgia \| 1883 \| private (methodist) \| 1057 \| 2009 \| eagles row 7 : st. andrews university \| laurinburg, north carolina \| 1958 \| private \| 800 \| 2012 \| knights row 8 : savannah college of art and design \| atlanta, georgia \| 2005 \| private \| 2000 \| 2012 \| bees row 9 : tennessee wesleyan college \| athens, tennessee \| 1857 \| private (methodist) \| 1103 \| 2001 \| bulldogs row 10 : truett-mcconnell college \| cleveland, georgia \| 1946 \| private/christian (baptist) \| 550 \| 2013 \| bears row 11 : union college \| barbourville, kentucky \| 1879 \| private/christian (methodist) \| 1368 \| 2001 \| bulldogs row 12 : virginia intermont college \| bristol, virginia \| 1884 \| private/christian (baptist) \| 916 \| 2001 \| cobras ] Execute this SQL based on the above table: select count ( * ) where institution = '2012'	0
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 1 \| may 27, 1956 \| dallas centennial open \| -12 (64-67-70-67 \| 1 stroke \| dow finsterwald, doug for row 2 : 2 \| feb 21, 1960 \| tucson open invitational \| -9 (67-67-68-69 \| 3 strokes \| bob harris row 3 : 3 \| jul 9, 1961 \| st. paul open invitational \| -19 (66-71-68-64=26 \| 1 stroke \| buster cupit row 4 : 4 \| feb 17, 1963 \| tucson open invitational \| -22 (65-67-69-65 \| 11 strokes \| gene littler, phil rodgers row 5 : 5 \| aug 28, 1966 \| philadelphia golf classic \| -10 (69-69-68-71 \| 1 stroke \| jack nicklaus row 6 : 6 \| jul 24, 1967 \| pga championship \| -7 (71-72-70-68 \| playoff \| don massengale row 7 : 7 \| apr 21, 1968 \| tournament of champions \| -8 (70-68-69-69 \| 1 stroke \| julius boros row 8 : 8 \| mar 23, 1970 \| greater jacksonville open \| -9 (68-75-70-66=27 \| playoff \| dale douglass row 9 : 9 \| oct 19, 1975 \| san antonio tex \| -13 (71-67-71-66 \| playoff \| larry hinson row 10 : 10 \| apr 18, 1976 \| mony tournament of champions \| -11 (71-68-69-69 \| 5 strokes \| hubert green ] Execute this SQL based on the above table: select tournament where id = ( select id where tournament = 'philadelphia golf classic' ) + 1	pga championship
[ header: tenure \| coach \| years \| record \| pct. \| ncaa tournament row 1 : 1933 \| sam mcallister \| 1 \| 5-4-0 \| 0.556 \| None row 2 : 1934 \| herschel bobo \| 1 \| None \| None \| None row 3 : 1934-1939 \| del morgan \| 6 \| None \| None \| None row 4 : 1940 \| porter grant \| 1 \| 4-5-0 \| 0.444 \| None row 5 : 1941-1942 \| jimmy hitchcock \| 2 \| None \| None \| None row 6 : 1943-1946 \| bob evans \| 2 \| None \| None \| None row 7 : 1947-1948 \| danny doyle \| 2 \| None \| None \| None row 8 : 1949-1950 \| johnny williamson \| 2 \| 21-23-0 \| 0.477 \| None row 9 : 1951-1957 \| dick mcgowen \| 7 \| 90-76-2 \| 0.548 \| None row 10 : 1958 \| joe connally \| 1 \| 17-8-0 \| 0.68 \| None row 11 : 1959-1962 \| erk russell \| 4 \| 59-37-1 \| 0.62 \| None row 12 : 1963-1984 \| paul nix \| 22 \| 515-376-0 \| 0.578 \| 4 row 13 : 1985-2000 \| hal baird \| 16 \| 634-328-0 \| 0.659 \| 9 row 14 : 2001-2004 \| steve renfroe \| 4 \| 145-92-0 \| 0.612 \| 3 row 15 : 2005-2008 \| tom slater \| 4 \| 115-113-0 \| 0.504 \| 1 row 16 : 2009-2013 \| john pawlowski \| 5 \| 167-126 \| 0.57 \| 1 row 17 : 2014-present \| sunny golloway \| 1 \| 17-8-0 \| 0.68 \| 0 row 18 : totals \| 16 coaches \| 81 \| None \| None \| 18 ] Execute this SQL based on the above table: select pct. where ncaa tournament = 9	0.659
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select count ( * ) where tv network(s) = 1	0
[ header: issue \| volume \| title \| main feature story \| first/early appearance story/stories \| release date row 1 : 1 \| 24 \| the avengers \| ultron unlimited (avengers vol \| the coming of the avengers ( \| 27 dec 2013 row 2 : 2 \| 12 \| spider-man \| happy birthday (amazing spider-man vol \| spider-man (amazing fantasy #15) \| 15 jan 2014 row 3 : 3 \| 55 \| wolverine \| get mystique (wolverine \| and now... the wolverine (in \| 29 jan 2014 row 4 : 4 \| 29 \| hawkeye \| hawkeye (hawkeye vol.1 #1 \| hawkeye, the marskman (tale \| 12 feb 2014 row 5 : 5 \| 10 \| the hulk \| dogs of war (the incredible hulk \| none \| 26 feb 2014 row 6 : 6 \| 22 \| jean grey \| here comes yesterday (all-new x- \| x-men origins: jean grey \| 12 mar 2014 row 7 : 7 \| 49 \| power man \| power man and iron fist #50- \| luke cage #1-3 \| 26 mar 2014 row 8 : 8 \| tbc \| captain america \| captain america #247-255 \| None \| 9 apr 2014 row 9 : 9 \| tbc \| iron man \| the five nightmares (iron man (vol. \| tales of suspense #39 \| 23 apr 2014 row 10 : 10 \| tbc \| the x-men \| x-men: children of the atom \| x-men (vol. 1) #1 \| 7 may 2014 row 11 : 11 \| tbc \| black widow \| tbc \| tbc \| 21 may 2014 row 12 : 12 \| tbc \| the human torch (jim hammond) \| tbc \| tbc \| 4 june 2014 row 13 : 13 \| tbc \| warriors three \| tbc \| tbc \| 18 june 2014 row 14 : 14 \| tbc \| cyclops \| tbc \| tbc \| 2 july 2014 row 15 : 15 \| tbc \| captain marvel \| tbc \| tbc \| 16 july 2014 ] Execute this SQL based on the above table: select count ( * ) where first/early appearance story/stories = 'x-men origins: jean grey'	1
[ header: year \| game of the year \| abstract strategy \| advanced strategy \| family \| family card \| family strategy \| party \| puzzle \| word \| historical simulation \| other row 1 : 1992 \| pipeline \| terrace \| None \| showdown yahtzee \| arcade: super tetris \| real-life strategy: d-day \| humm...ble \| heaven & earth \| wordsters \| adventure: the lost files of sherlock \| trivia: times to remember row 2 : 1993 \| inklings \| char \| None \| perpetual notion \| arcade: ecco the dolphin \| real-life: civilization \| oodles \| the incredible machine \| pick two! \| adventure: return to zork \| trivia: celebrity challenge row 3 : 1994 \| myst \| the game of y \| wargames: v for victory \| peg poker \| arcade: lode runner: the legend returns \| real-life strategy: x-com: \| the doonesbury game \| breakthru! \| boggle master \| adventure: the elder scrolls: arena \| trivia: quote unquote row 4 : 1995 \| sharp shooters \| strategy: quixo \| conflict: colonial diplomacy \| touche \| phantoms of the ice \| sports: dynasty league baseball \| catch phrase \| lights out \| pre.fix \| adventure & role playing: dragon dice: battle \| trivia: chronicles ccg: on row 5 : 1997 \| 25 words or less \| transpose \| strategy & conflict: field command \| mole in the hole \| take 6 \| priceless \| last chance \| deluxe lights out \| bethump'd with words \| adventure & role-playing: dragonl \| trivia: origins row 6 : 1998 \| quoridor \| balanx \| strategy & conflict: princess ryan' \| take it easy \| get the goods \| quandary \| wise and otherwise \| lost in a jigsaw \| a to z \| None \| trivia: director's cut ccg row 7 : 1999 \| fossil \| gipf \| conflict: atlantic storm \| montgolfiere \| bohnanza \| el grande \| say when!! \| stormy seas \| alpha blitz \| None \| trivia: where in time is carmen s row 8 : 2000 \| torres \| octi \| memory: mamma mia \| moonshot \| buried treasure \| tikal \| apples to apples \| ricochet robot \| double quick! \| None \| trivia: bioviva ccg: row 9 : 2001 \| aladdin's dragons \| zertz \| the princes of florence \| cafe international \| hellrail \| web of power \| democrazy \| lunar lockout \| None \| paths of glory \| two-player card: caesar row 10 : 2002 \| evo \| morisi \| java \| africa \| babel \| lord of the rings \| hilarium \| flip-it! \| my word! \| drive on paris \| manual dexterity: space game row 11 : 2004 \| new england \| clans \| wildlife \| i'm the boss! \| queen's necklace \| zoosim \| party/trivia: dibs \| river crossing \| crossword pyramids \| hammer of the scots \| two-player card: balloon cup row 12 : 2005 \| buyword \| yinsh \| tahuantinsuy \| vanished planet \| victory & honor \| alexandros \| party/trivia: cranium ho \| None \| None \| memoir '44 \| None ] Execute this SQL based on the above table: select count ( party ) where game of the year = 'ricochet robot'	0
[ header: election \| number of popular votes \| % of popular votes \| total elected seats \| +/- row 1 : 1988 \| 139982 \| 22.16 \| 61 / 264 \| None row 2 : 1991 \| 170757 \| 32.11 \| 83 / 272 \| 22 row 3 : 1994 \| 242557 \| 35.34 \| 121 / 346 \| 38 row 4 : 1999 \| 271251 \| 33.45 \| 122 / 390 \| 1 row 5 : 2003 \| 459640 \| 44.67 \| 194 / 400 \| 72 row 6 : 2007 \| 445781 \| 39.15 \| 127 / 405 \| 30 row 7 : 2011 \| 464512 \| 39.34 \| 103 / 412 \| 18 ] Execute this SQL based on the above table: select abs ( ( select % of popular votes where total elected seats = '194 / 400' ) - ( select % of popular votes where total elected seats = '127 / 405' ) )	5.520000000000003
[ header: round \| pick \| player \| position \| nationality \| team \| college row 1 : t \| None \| wilt chamberlain \| c \| united states \| philadelphia warriors \| kansas row 2 : t \| None \| bob ferry \| f/c \| united states \| st. louis hawks \| saint louis row 3 : 1 \| 1 \| bob boozer \| f \| united states \| cincinnati royals \| kansas state row 4 : 1 \| 2 \| bailey howell \| f \| united states \| detroit pistons \| mississippi state row 5 : 1 \| 3 \| tom hawkins \| f \| united states \| minneapolis lakers \| notre dame row 6 : 1 \| 5 \| johnny green \| f/c \| united states \| new york knicks \| michigan state row 7 : 1 \| 6 \| john richter \| f \| united states \| boston celtics \| nc state row 8 : 2 \| 7 \| tom robitaille \| f/c \| united states \| detroit pistons (from cincin \| rice row 9 : 2 \| 8 \| don goldstein \| f \| united states \| detroit pistons \| louisville row 10 : 2 \| 9 \| joe ruklick \| f/c \| united states \| philadelphia warriors \| northwestern row 11 : 2 \| 10 \| rudy larusso \| f/c \| united states \| minneapolis lakers \| dartmouth row 12 : 2 \| 11 \| bumper tormohlen \| f/c \| united states \| syracuse nationals \| tennessee row 13 : 2 \| 12 \| al seiden \| g \| united states \| st. louis hawks ( \| st. john's row 14 : 2 \| 13 \| cal ramsey \| f \| united states \| st. louis hawks \| nyu row 15 : 2 \| 14 \| gene guarilia \| f \| united states \| boston celtics \| george washington row 16 : 3 \| 16 \| gary alcorn \| c \| united states \| detroit pistons \| fresno state row 17 : 3 \| 17 \| jim hockaday \| f \| united states \| philadelphia warriors \| memphis row 18 : 3 \| 18 \| bobby smith \| g \| united states \| minneapolis lakers \| west virginia row 19 : 3 \| 19 \| jon cincebox \| f \| united states \| syracuse nationals \| syracuse row 20 : 3 \| 20 \| bob anderegg \| g/f \| united states \| new york knicks \| michigan state row 21 : 3 \| 21 \| hank stein \| g \| united states \| st. louis hawks \| xavier row 22 : 3 \| 22 \| ralph crosthwaite \| c \| united states \| boston celtics \| western kentucky row 23 : 4 \| 23 \| leo byrd \| g \| united states \| cincinnati royals \| marshall row 24 : 4 \| 24 \| george lee \| g/f \| united states \| detroit pistons \| michigan row 25 : 4 \| 25 \| ron stevenson \| f \| united states \| philadelphia warriors \| tcu row 26 : 4 \| 26 \| wilson eison \| f \| united states \| minneapolis lakers \| purdue row 27 : 4 \| 27 \| paul neumann \| g \| united states \| syracuse nationals \| stanford row 28 : 4 \| 28 \| johnny cox \| g \| united states \| new york knicks \| kentucky row 29 : 5 \| 31 \| harry kirchner \| g/f \| united states \| detroit pistons \| tcu ] Execute this SQL based on the above table: select player where college = 'marshall'	leo byrd
[ header: title \| album details \| peak chart positions us \| peak chart positions us r&b \| certifications row 1 : can-i-bus \| released: september 8, 1998 label: universal format \| 2 \| 2 \| riaa: gold row 2 : 2000 b.c. (before can- \| released: july 18, 2000 label: universal \| 23 \| 6 \| None row 3 : c! true hollywood stories \| released: november 13, 2001 label: archives \| None \| 71 \| None row 4 : mic club: the curriculum \| released: november 19, 2002 label: mic \| None \| None \| None row 5 : rip the jacker \| released: july 22, 2003 label: baby \| 194 \| 34 \| None row 6 : mind control \| released: june 21, 2005 label: to \| None \| 79 \| None row 7 : hip-hop for sale \| released: november 22, 2005 label: baby \| None \| None \| None row 8 : for whom the beat tolls \| released: june 5, 2007 label: mic \| None \| None \| None row 9 : melatonin magik \| released: february 2, 2010 label: war \| None \| 91 \| None row 10 : c of tranquility \| released: october 5, 2010 label \| None \| 70 \| None row 11 : lyrical law \| released: june 24, 2011 label: can \| None \| None \| None ] Execute this SQL based on the above table: select title order by peak chart positions us asc limit 1	c! true hollywood stories
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "a dream" \| l. lynn, w \| will.i.am \| common, will.i.am row 2 : 2 \| "listen!!!" \| t.k. greene, k \| kwame \| talib kweli row 3 : 3 \| "it's r time [lenky \| j. ortega, v. \| None \| jeannie ortega row 4 : 4 \| "when the ship goes down (dia \| l. freese, l. \| dj muggs \| cypress hill row 5 : 5 \| "hip hop hooray" \| v. brown, a. cri \| naughty by nature \| naughty by nature row 6 : 6 \| "keep ya head up" \| t. shakur, d \| dj daryl \| 2pac row 7 : 7 \| "code of the streets" \| k. elam, c \| dj premier \| gang starr row 8 : 8 \| "rebirth of slick (cool like \| i. butler, c. \| butterfly \| digable planets row 9 : 9 \| "officer" \| t. hardson, j. mar \| j-swift \| the pharcyde row 10 : 10 \| "this is how we do it" \| m. jordan, o. \| montell jordan, oji pier \| montell jordan row 11 : 11 \| "colors" \| w. adams \| will.i.am \| will.i.am row 12 : 12 \| "bus ride" \| w. adams \| will.i.am \| will.i.am row 13 : 13 \| "riots" \| m. isham, w. \| None \| mark isham, miri ben-ari row 14 : 14 \| "eva's theme" \| m. isham \| None \| mark isham row 15 : 15 \| "anne frank" \| m. isham \| None \| mark isham, miri ben-ari ] Execute this SQL based on the above table: select title where producer(s) = 'will.i.am'	"a dream", "colors", "bus ride"
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select count ( director )	33
[ header: year \| competition \| venue \| position \| notes row 1 : 1997 \| european u23 championships \| turku, finland \| 1st \| 200 m row 2 : 1997 \| world championships \| athens, greece \| 3rd \| 4x100m relay row 3 : 1998 \| european championships \| budapest, hungary \| 3rd \| 200 metres row 4 : 1998 \| european championships \| budapest, hungary \| 1st \| 4x100m relay row 5 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 1st \| 200 metres row 6 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 1st \| 4x100m relay row 7 : 2000 \| european indoor championships \| ghent, belgium \| 3rd \| 200 metres ] Execute this SQL based on the above table: select count ( venue ) where competition = 'turku, finland'	0
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select title where peak chart positions us country < 9 order by peak chart positions us country desc limit 1	"hey joe"
[ header: released \| video title \| company \| director \| notes row 1 : 2004-09-18 (vhs) 2004 \| tawawana 18-sai \| crystal-eizou venus vf \| yukihiko shimam \| av debut row 2 : 2004-11-26 \| big bust evolution shoko goto 爆乳進化論 \| crystal-eizou venus vf \| None \| None row 3 : 2004-12-17 \| menyu shoko goto 女乳 \| crystal-eizou venus vf \| None \| None row 4 : 2005-01-28 \| busty private teacher shoko goto \| crystal-eizou grace grdv- \| None \| None row 5 : 2005-02-25 \| a-grade tits shoko got \| crystal-eizou grace grdv- \| None \| None row 6 : 2005-02-26 (vhs) \| the costume play maid, shoko goto \| crystal-eizou venus vf \| yukihiko shimam \| None row 7 : 2005-04-29 \| perverted desire shoko goto 変態志願 \| crystal-eizou venus vf \| None \| None row 8 : 2005-05-27 \| fetish world 変態志願 \| crystal-eizou grace grdv- \| None \| with marina matsushima row 9 : 2005-06-24 \| gogo shameless young lady gogoハレンチ娘 \| crystal-eizou grace grdv-01 \| None \| None row 10 : 2005-12-23 \| super re-mix collection the best shoko \| crystal-eizou mmc m \| None \| compilation ] Execute this SQL based on the above table: select released where released in ( '2005-05-27' , '2005-06-24' ) order by director desc limit 1	2005-05-27
[ header: date \| opponent# \| rank# \| site \| result \| attendance \| record row 1 : 11/26/1985 \| vs. loyola (chi \| #7 \| assembly hall • champaign, il \| w 95-64 \| 13143 \| 1-0 row 2 : 11/29/1985 \| vs. #13 oklahom \| #7 \| kaneohe armory • hon \| l 57-59 \| 300 \| 2-1 row 3 : 12/4/1985 \| vs. wisconsin-green \| #12 \| assembly hall • champaign, il \| w 84-34 \| 13417 \| 3-1 row 4 : 12/7/1985 \| vs. utah state \| #12 \| assembly hall • champaign (illini classic \| w 115-64 \| 13980 \| 5-1 row 5 : 12/10/1985 \| vs. tennessee \| #10 \| mabee center • tulsa, \| l 51-54 \| 12700 \| 5-2 row 6 : 12/14/1985 \| vs. houston \| #10 \| assembly hall • champaign, il \| w 102-92 \| 15564 \| 6-2 row 7 : 12/23/1985 \| vs. howard \| #15 \| assembly hall • champaign, il \| w 67-55 \| 10043 \| 8-2 row 8 : 12/30/1985 \| vs. iowa state \| #16 \| rosemont horizon • rosemont, il \| w 64-62 \| 9876 \| 9-2 row 9 : 1/2/1986 \| vs. minnesota \| #14 \| assembly hall • champaign, il \| w 76-57 \| 13329 \| 10-2 (1-0) row 10 : 1/4/1986 \| vs. iowa \| #14 \| assembly hall • champaign, il \| l 59-60 \| 16676 \| 10-3 (1-1) row 11 : 1/8/1986 \| @ #2 michigan \| #18 \| crisler arena • ann arbor, \| l 59-61 \| 13609 \| 10-4 (1-2) row 12 : 1/16/1986 \| vs. wisconsin \| #nr \| assembly hall • champaign, il \| w 73-54 \| 12829 \| 11-5 (2-3) row 13 : 1/18/1986 \| vs. northwestern \| #nr \| assembly hall • champaign, il \| w 72-46 \| 13891 \| 12-5 (3-3) row 14 : 1/23/1986 \| @ ohio state \| #nr \| st. john arena • colum \| w 67-65 \| 13071 \| 13-5 (4-3) row 15 : 2/8/1986 \| vs. michigan \| #nr \| assembly hall • champaign, il \| w 83-79 ot \| 16353 \| 15-7 (6-5) row 16 : 2/13/1986 \| @ northwestern \| #nr \| welsh-ryan arena • \| w 75-52 \| 8117 \| 16-7 (7-5) row 17 : 2/15/1986 \| @ wisconsin \| #nr \| wisconsin field house • madison \| w 82-74 \| 10605 \| 17-7 (8-5) row 18 : 2/20/1986 \| vs. #15 indiana \| #nr \| assembly hall • champaign, il \| l 60-61 \| 16349 \| 17-8 (8-6) row 19 : 2/22/1986 \| vs. ohio state \| #nr \| assembly hall • champaign, il \| w 66-62 \| 16376 \| 18-8 (8-7) row 20 : 3/1/1986 \| @ #4 georgia tech \| #12 \| alexander memorial coliseum • \| w 59-57 \| 15148 \| 20-8 ] Execute this SQL based on the above table: select count ( result ) where attendance = 12700	1
[ header: ranking \| company \| industry \| revenue (usd billions) \| fy \| capitalization (usd billions) \| employees \| listing \| headquarters \| ceo row 1 : 1 \| wal-mart stores, inc \| retail \| $469 \| january 31, 2013 \| $248 \| 2200000 \| nyse: wmt \| bentonville, arkansas \| doug mcmillon row 2 : 3 \| exxon mobil corporation \| oil and gas \| $453 \| december 31, 2012 \| $406 \| 76900 \| nyse: xom \| irving, texas \| rex w. tillerson row 3 : 4 \| china national petroleum corporation \| oil and gas \| $425 \| december 31, 2012 \| None \| 1668072 \| None \| beijing \| zhou jiping row 4 : 10 \| samsung \| conglomerate \| $268 \| december 31, 2014 \| None \| 427000 \| krx: 005930; \| samsung town \| lee kun-hee row 5 : 12 \| chevron \| oil and gas \| $242 \| december 31, 2012 \| $211 \| 61000 \| nyse: cvx \| san ramon, califor \| john watson row 6 : 13 \| total \| oil and gas \| $240 \| december 31, 2013 \| $120 \| 111000 \| euronext: fp \| courbevoie \| christophe de margerie row 7 : 20 \| eni \| oil and gas \| $167 \| december 31, 2012 \| $94 \| 78000 \| bit: eni \| rome \| paolo scaroni row 8 : 21 \| gazprom \| oil and gas \| $164 \| december 31, 2012 \| $145 \| 432000 \| mcx: gazp \| moscow \| alexei miller row 9 : 22 \| berkshire hathaway \| conglomerate \| $162 \| december 31, 2012 \| $201 \| 217000 \| nyse: brka; \| omaha, nebra \| warren buffett row 10 : 23 \| general motors \| automotive \| $152 \| december 31, 2012 \| $40 \| 284000 \| nyse: gm \| detroit, michigan \| daniel akerson row 11 : 27 \| petrobras \| oil and gas \| $144 \| december 31, 2012 \| $171 \| 81000 \| bovespa: petr3; bove \| rio de janeiro \| maria das gracas foster row 12 : 29 \| valero energy \| oil and gas \| $139 \| december 31, 2012 \| $16 \| 22000 \| nyse: vlo \| san antonio, \| william r. klesse row 13 : 30 \| lukoil \| oil and gas \| $139 \| december 31, 2012 \| $51 \| 120000 \| mcx: lkoh \| moscow \| vagit alekperov row 14 : 35 \| statoil \| oil and gas \| $130 \| december 31, 2012 \| $86 \| 23000 \| ose: stl \| stavanger \| helge lund row 15 : 36 \| gdf suez \| electricity and gas utility \| $128 \| december 31, 2012 \| $58 \| 161000 \| euronext: sze \| paris \| gerard mestrallet row 16 : 38 \| pemex \| oil and gas \| $127 \| december 31, 2012 \| None \| 138000 \| None \| mexico city \| juan jose suarez c row 17 : 40 \| cvs caremark \| retail \| $123 \| december 31, 2012 \| $59 \| 202000 \| nyse: cvs \| woonsocket, rh \| larry j. merlo ] Execute this SQL based on the above table: select revenue (usd billions) where id = 12	$242
[ 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 type where type = '1/2.3" (pentax q) (sony cyber-shot dsc-w330)(gopro hero 3) (panasonic hx-a500)'	1/2.3" (pentax q) (sony cyber-shot dsc-w330)(gopro hero 3) (panasonic hx-a500)
[ header: \| wine \| rank \| beer \| rank \| spirits \| rank \| total \| rank↓ row 1 : yukon \| 18.3 \| 1 \| 90.6 \| 1 \| 13.8 \| 1 \| 12.7 \| 1 row 2 : northwest territories \| 8.1 \| 7 \| 55.2 \| 5 \| 10.8 \| 2 \| 9.2 \| 2 row 3 : alberta \| 13.9 \| 4 \| 89.8 \| 4 \| 7.6 \| 9 \| 8.6 \| 3 row 4 : newfoundland & labrador \| 6.5 \| 11 \| 93.3 \| 3 \| 7.3 \| 10 \| 8 \| 4 row 5 : british columbia \| 14.5 \| 3 \| 76.6 \| 12 \| 9 \| 7 \| 7.8 \| 5 row 6 : ontario \| 11.8 \| 5 \| 84.3 \| 6 \| 8.8 \| 8 \| 7.8 \| 6 row 7 : quebec \| 17.4 \| 2 \| 93.9 \| 2 \| 4.1 \| 12 \| 7.8 \| 7 row 8 : prince edward island \| 7.4 \| 10 \| 78.9 \| 9 \| 9.7 \| 3 \| 7.5 \| 8 row 9 : nova scotia \| 8 \| 8 \| 79.5 \| 8 \| 9.1 \| 5 \| 7.5 \| 9 row 10 : manitoba \| 8 \| 9 \| 76.8 \| 10 \| 9.4 \| 4 \| 7.4 \| 10 row 11 : saskatchewan \| 5 \| 12 \| 76.8 \| 11 \| 9.1 \| 6 \| 7 \| 11 row 12 : new brunswick \| 8.4 \| 6 \| 79.8 \| 7 \| 6.8 \| 11 \| 6.7 \| 12 row 13 : nunavut \| None \| None \| None \| None \| None \| None \| None \| None row 14 : canada \| 13.1 \| None \| 85.6 \| None \| 7.5 \| None \| 7.8 \| None ] Execute this SQL based on the above table: select count ( ) where = 'manitoba'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| france \| 1 \| 3 \| 0 \| 4 row 2 : 2 \| england \| 1 \| 2 \| 1 \| 4 row 3 : 3 \| ireland \| 1 \| 1 \| 0 \| 2 row 4 : 3 \| sweden \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| belgium \| 1 \| 0 \| 2 \| 3 row 6 : 6 \| hungary \| 1 \| 0 \| 0 \| 1 row 7 : 6 \| netherlands \| 1 \| 0 \| 0 \| 1 row 8 : 6 \| spain \| 1 \| 0 \| 0 \| 1 row 9 : 9 \| scotland \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| czechoslovakia \| 0 \| 0 \| 2 \| 2 row 11 : 10 \| italy \| 0 \| 0 \| 2 \| 2 row 12 : 12 \| denmark \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'scotland' ) + 1	czechoslovakia
[ header: year \| title \| uk \| us: billboard hot 100 \| us: billboard r&b \| us: billboard a/c \| australia \| various row 1 : 1976 \| "right back where we started from" \| ('75) #8 \| #2 \| #46 \| #5 \| #4 \| #3 (netherlands), #2 (belg row 2 : 1976 \| "gotta be the one" \| None \| #53 \| None \| #22 \| #12 \| #19 (new zealand) row 3 : 1977 \| "love hit me" \| #11 \| None \| None \| None \| #22 \| None row 4 : 1977 \| "will you be my lover" \| None \| None \| None \| None \| None \| #44 (france) row 5 : 1979 \| "lead me on" \| None \| #5 \| #37 \| #1 \| #58 \| #2 (canada), #8 (new row 6 : 1979 \| "(bringin' out) the girl \| None \| #73 \| None \| None \| None \| None row 7 : 1982 \| "turn to me" (with jim \| None \| None \| #17 \| None \| None \| None ] Execute this SQL based on the above table: select count ( various ) where various = 'None'	0
[ header: song \| artists \| release \| year \| notes row 1 : "all of you" \| riz mc, aruba red, \| microscope \| 2012 \| original 2011 recording does not feature plan b row 2 : "atomic" \| labrinth, plan b \| atomic \| 2013 \| None row 3 : "before i die" (remix) \| professor green, narstie, \| "before i die" \| 2006 \| None row 4 : "bring it back" \| juse, j.b., \| global casino \| 2006 \| None row 5 : "broken wings" \| mc purple, doctor, plan b \| eye of the tiger, vol. 1 \| 2005 \| None row 6 : "end credits" \| chase & status, plan b \| no more idols \| 2011 \| None row 7 : "everyday" (rusher remix) \| shameless, example, plan b \| "everyday (in a broken dream \| 2007 \| None row 8 : "fool yourself" \| chase & status, plan b, \| no more idols \| 2011 \| None row 9 : "harry" (plan b remix) \| medison, skrein, \| "harry" \| 2010 \| None row 10 : "how's it feel" \| skrein, wyt \| the eat up \| 2007 \| also appears on it's time 4 plan row 11 : "i wanna get next to you" ( \| danielle senior, plan b, \| "take you home" \| 2006 \| None row 12 : "last dayz" \| skreintax, plan b \| "scene stealers" \| 2009 \| None row 13 : "makin' love 2 hip hop" \| plan b, skrein, \| sharpest tool in the box \| 2007 \| None row 14 : "maybe" \| skrein, shameless, plan \| bless: the mixtape \| 2007 \| None row 15 : "more is enough" \| epic man, plan b \| "more is enough" \| 2006 \| also appears as bonus track on australian release of row 16 : "my eyes" \| shameless, tb, plan b \| bless: the mixtape \| 2007 \| None row 17 : "no hats no trainers" \| shameless, plan b \| smokers die younger \| 2007 \| None row 18 : "on it 08" \| adam deacon, plan b \| adulthood \| 2008 \| None row 19 : "past that" \| shameless, plan b \| above board \| 2006 \| None row 20 : "pieces" \| chase & status, plan b \| more than alot \| 2008 \| None row 21 : "play ur position" \| juse, conspicuous, ane \| global casino \| 2006 \| None row 22 : "polarised nation" \| carly bond, ripper, hitman \| eye of the tiger, vol. 1 \| 2005 \| None row 23 : "reveal your inner self" (plan \| killa kela, plan b \| "reveal your inner self" \| 2007 \| None row 24 : "shifty" \| riz mc, sway, \| shifty \| 2009 \| None row 25 : "shots echo" \| the mitchell brothers, plan b, \| dressed for the occasion \| 2007 \| None ] Execute this SQL based on the above table: select artists where id = ( select id where artists = 'skrein, wyt-fang, plan b' ) - 1	medison, skrein, plan b
[ header: year \| national champion \| score \| runner-up \| host or site row 1 : 2001 \| ucla \| 5-4 \| stanford \| stanford university, avery aquatic center row 2 : 2002 \| stanford \| 8-4 \| ucla \| usc, mcdonald' row 3 : 2003 \| ucla (2) \| 4-3 \| stanford \| uc san diego, canyon row 4 : 2004 \| usc \| 10-8 \| loyola marymount \| stanford university, avery aquatic center row 5 : 2005 \| ucla (3) \| 3-2 \| stanford \| university of michigan, canham nat row 6 : 2006 \| ucla (4) \| 9-8 \| usc \| uc davis, schaal row 7 : 2007 \| ucla (5) \| 5-4 \| stanford \| long beach state, joint forces training base, los row 8 : 2008 \| ucla (6) \| 6-3 \| usc \| stanford university, avery aquatic center row 9 : 2009 \| ucla (7) \| 5-4 \| usc \| university of maryland, eppley recreation row 10 : 2010 \| usc (2) \| 10-9 \| stanford \| san diego state, az row 11 : 2011 \| stanford (2) \| 9-5 \| california \| university of michigan, canham nat row 12 : 2012 \| stanford (3) \| 6-4 \| usc \| san diego state, az row 13 : 2013 \| usc (3) \| 10-9 5ot \| stanford \| harvard university, blodget row 14 : 2014 \| None \| None \| None \| usc, uytengsu ] Execute this SQL based on the above table: select count ( * ) where host or site = 'uc davis, schaal aquatics center, davis, california' and score = 795	0
[ header: seed \| school \| conf (overall) \| tiebreaker row 1 : #1 \| georgetown \| 14-4 (24-5) \| 2-1 vs. louisville/ row 2 : #2 \| louisville \| 14-4 (26-5) \| 1-1 vs. georgetown row 3 : #3 \| marquette \| 14-4 (23-7) \| 1-2 vs. georgetown row 4 : #4 \| pittsburgh \| 12-6 (24-7) \| None row 5 : #5 \| syracuse \| 11-7 (23-8) \| 1-0 vs. notre dame row 6 : #6 \| notre dame \| 11-7 (23-8) \| 0-1 vs. sy row 7 : #7 \| villanova \| 10-8 (19-12) \| None row 8 : #8 \| providence \| 9-9 (17-13) \| 1-0 vs. cincinnati row 9 : #9 \| cincinnati \| 9-9 (21-10) \| 0-1 vs. providence row 10 : #10 \| st. john's \| 8-10 (16-14) \| None row 11 : #11 \| rutgers \| 5-13 (14-15) \| None row 12 : #12 \| seton hall \| 3-15 (14-17) \| 1-0 vs. south florida row 13 : #13 \| south florida \| 3-15 (12-18) \| 0-1 vs. seton hall row 14 : #14 \| depaul \| 2-16 (11-20) \| None ] Execute this SQL based on the above table: select count ( * ) where conf (overall) = '11-7 (23-8)'	2
[ header: result \| record \| opponent \| method \| date \| round \| location row 1 : loss \| 31-3-0 \| j.h. isbell \| ko \| 1934 mar 31 \| 2 \| cambridge, massachusetts row 2 : loss \| 31-2-0 \| "modest" bill smith \| ko \| 1934 feb 27 \| 2 \| cambridge, massachusetts row 3 : win \| 31-1-0 \| frankie hagen \| ko \| 1934 feb 24 \| 1 \| cambridge, massachusetts row 4 : win \| 30-1-0 \| harry gardner \| ko \| 1934 feb 21 \| 1 \| cambridge, massachusetts row 5 : win \| 29-1-0 \| sid stoneman \| ko \| 1934 feb 14 \| 1 \| cambridge, massachusetts row 6 : win \| 28-1-0 \| frankie hagan \| pts \| 1934 jan 30 \| 3 \| cambridge, massachusetts row 7 : win \| 27-1-0 \| basil barnett \| ko \| 1934 jan 24 \| 2 \| cambridge, massachusetts row 8 : win \| 25-1-0 \| bob delmont \| ko \| 1934 jan 07 \| 1 \| cambridge, massachusetts row 9 : loss \| 24-1-0 \| brad simmons \| ko \| 1934 jan 01 \| 1 \| cambridge, massachusetts row 10 : win \| 24-0-0 \| herman zeinman \| ko \| 1933 \| 1 \| cambridge, massachusetts row 11 : win \| 23-0-0 \| william beltran \| ko \| 1933 \| 1 \| cambridge, massachusetts row 12 : win \| 21-0-0 \| lawrence "larry" o \| ko \| 1933 \| 1 \| cambridge, massachusetts row 13 : win \| 20-0-0 \| igg rosenberg \| ko \| 1933 \| 1 \| cambridge, massachusetts row 14 : win \| 19-0-0 \| melvin kenyon \| ko \| 1933 \| 1 \| cambridge, massachusetts row 15 : win \| 17-0-0 \| samuel rodgway \| ko \| 1933 may 28 \| 1 \| cambridge, massachusetts row 16 : exch \| 16-0-0 \| "irish" tommy mitchell \| ko \| 1933 may 21 \| 1 \| cambridge, massachusetts row 17 : win \| 15-0-0 \| jim crawford \| ko \| 1933 may 14 \| 1 \| cambridge, massachusetts row 18 : win \| 14-0-0 \| max levine \| ko \| 1933 may 7 \| 1 \| cambridge, massachusetts row 19 : win \| 13-0-0 \| leo hart \| ko \| 1933 may 1 \| 1 \| cambridge, massachusetts row 20 : win \| 12-0-0 \| paul benjamin \| pts \| 1932 \| 3 \| evanston, illinois row 21 : win \| 11-0-0 \| fred chapman \| ko \| 1932 \| 3 \| evanston, illinois row 22 : win \| 10-0-0 \| paul benjamin \| ko \| 1932 \| 3 \| evanston, illinois row 23 : win \| 9-0-0 \| rod conley \| ko \| 1932 \| 2 \| evanston, illinois row 24 : win \| 8-0-0 \| paul gilmore \| ko \| 1932 \| 1 \| chicago, illinois row 25 : win \| 7-0-0 \| jack lewis \| ko \| 1932 \| 3 \| chicago, illinois row 26 : exch \| 6-0-0 \| eddie mitchell \| ko \| 1932 \| 1 \| chicago, illinois ] Execute this SQL based on the above table: select count ( date ) where date = '1934 feb 24'	1
[ header: year \| democratic party \| republican party \| independent / other \| majority row 1 : 1865 \| 0 \| 0 \| 124 \| 124 row 2 : 1868 \| 14 \| 110 \| 0 \| 96 row 3 : 1870 \| 0 \| 100 \| 24(a) \| 76 row 4 : 1872 \| 22 \| 102 \| 0 \| 80 row 5 : 1874 \| 0 \| 91 \| 33(b) \| 58 row 6 : 1876 \| 64 \| 60 \| 0 \| 4 row 7 : 1878 \| 121 \| 3 \| 0 \| 118 row 8 : 1880 \| 120 \| 4 \| 0 \| 116 row 9 : 1902- 1962 \| 124 \| 0 \| 0 \| 124 row 10 : 1964 \| 123 \| 1 \| 0 \| 122 row 11 : 1966 \| 107 \| 17 \| 0 \| 90 row 12 : 1968 \| 119 \| 5 \| 0 \| 114 row 13 : 1970 \| 115 \| 9 \| 0 \| 109 row 14 : 1972 \| 107 \| 17 \| 0 \| 90 row 15 : 1974 \| 110 \| 14 \| 0 \| 96 row 16 : 1976 \| 114 \| 10 \| 0 \| 104 row 17 : 1978 \| 111 \| 13 \| 0 \| 98 row 18 : 1980 \| 110 \| 14 \| 0 \| 96 row 19 : 1982 \| 108 \| 16 \| 0 \| 92 row 20 : 1984 \| 102 \| 22 \| 0 \| 80 row 21 : 1986 \| 98 \| 26 \| 0 \| 72 row 22 : 1988 \| 94 \| 30 \| 0 \| 64 row 23 : 1990 \| 89 \| 35 \| 0 \| 54 row 24 : 1992 \| 84 \| 40 \| 0 \| 44 row 25 : 1994 \| 72 \| 52 \| 0 \| 20 row 26 : 1996 \| 54 \| 70 \| 0 \| 16 row 27 : 1998 \| 58 \| 66 \| 0 \| 12 row 28 : 2000 \| 55 \| 69 \| 0 \| 14 row 29 : 2002 \| 51 \| 73 \| 0 \| 22 row 30 : 2004 \| 50 \| 74 \| 0 \| 24 row 31 : 2006 \| 51 \| 73 \| 0 \| 22 row 32 : 2008 \| 52 \| 72 \| 0 \| 20 row 33 : 2010 \| 47 \| 76 \| 0 \| 29 row 34 : 2012 \| 45 \| 78 \| 0 \| 30 ] Execute this SQL based on the above table: select democratic party order by majority desc limit 1	0
[ header: pos \| rider \| manufacturer \| time/retired \| points row 1 : 1 \| max biaggi \| aprilia \| 40:36.299 \| 25 row 2 : 2 \| marcellino lucchi \| aprilia \| 6.914 \| 20 row 3 : 3 \| ralf waldmann \| honda \| 18.294 \| 16 row 4 : 4 \| olivier jacque \| honda \| 18.607 \| 13 row 5 : 5 \| jurgen fuchs \| honda \| 31.617 \| 11 row 6 : 6 \| tetsuya harada \| yamaha \| 31.649 \| 10 row 7 : 7 \| jean-philippe ruggia \| honda \| 31.683 \| 9 row 8 : 8 \| nobuatsu aoki \| honda \| 47.701 \| 8 row 9 : 9 \| luis d'antin \| honda \| 51.186 \| 7 row 10 : 10 \| cristiano migliorati \| honda \| 51.556 \| 6 row 11 : 11 \| massimo ottobre \| aprilia \| 51.563 \| 5 row 12 : 12 \| eskil suter \| aprilia \| 51.613 \| 4 row 13 : 13 \| luca boscoscuro \| aprilia \| 51.617 \| 3 row 14 : 14 \| regis laconi \| honda \| 52.394 \| 2 row 15 : 15 \| jurgen vd goorbergh \| honda \| 52.569 \| 1 row 16 : 16 \| sebastian porto \| aprilia \| +1:03.619 \| None row 17 : 17 \| jamie robinson \| aprilia \| +1:06.917 \| None row 18 : 18 \| olivier petrucciani \| aprilia \| +1:06.945 \| None row 19 : 19 \| alessandro antonello \| aprilia \| +1:07.099 \| None row 20 : 20 \| osamu miyazaki \| aprilia \| +1:32.873 \| None row 21 : 21 \| davide bulega \| aprilia \| +1:32.902 \| None row 22 : 22 \| yasumasa hatakeyama \| honda \| +1:34.039 \| None row 23 : 23 \| franco battaini \| aprilia \| +1:34.363 \| None row 24 : 24 \| sete gibernau \| honda \| +1:34.931 \| None row 25 : 25 \| christian boudinot \| aprilia \| +1:41.263 \| None row 26 : 26 \| jose barresi \| yamaha \| +1 lap \| None row 27 : 27 \| roberto rolfo \| aprilia \| +1 lap \| None row 28 : 28 \| cristophe cogan \| honda \| +1 lap \| None row 29 : ret \| gianluigi scalvini \| honda \| retirement \| None row 30 : ret \| roberto locatelli \| aprilia \| retirement \| None row 31 : ret \| takeshi tsujimura \| honda \| retirement \| None ] Execute this SQL based on the above table: select count ( rider ) where points < ( select points where rider = 'osamu miyazaki' )	0
[ 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 city order by area (km2) desc limit 1	alessandria
[ header: date and time \| opponent \| location \| notes row 1 : 26 june 1918, 2035 hrs \| pfalz d.ii \| east of albert, somme \| None row 2 : 13 july 1918, 0857 hrs \| albatros d.v \| poperinghe \| None row 3 : 3 august 1918, 0930 hrs \| fokker d.vii \| southeast of ostend \| None row 4 : 13 august 1918, 1352 hrs \| fokker d.vii \| north of roye, somme \| flown by lothar von richthofen row 5 : 2 september 1918, 1150 hrs \| fokker d.vii \| south of rumaucourt \| None row 6 : 5 september 1918, 1720 hrs \| fokker d.vii \| saint-quentin, aisne \| None row 7 : 15 september 1918, 1050 hrs \| fokker d.vii \| epinoy \| None row 8 : 17 september 1918, 1300 hrs \| fokker d.vii \| epinoy \| None row 9 : 24 september 1918, 0728 hrs \| fokker d.vii \| west of cambrai \| None row 10 : 26 september 1918, 1325 hrs \| fokker d.vii \| east of bourlon wood \| None row 11 : 27 september 1918, 0920 hrs \| halberstadt (unspecified c \| noyelles-sous-lens \| None row 12 : 28 october 1918, 1205 \| fokker d.vii \| villers-pol \| shared with lt. jesse ] Execute this SQL based on the above table: select count ( * )	12
[ header: edition \| year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) row 1 : 34th \| 2013 \| sean hehir (irl) \| 2:18:19 \| maria mccambridge (ir \| 2:38:51 row 2 : 33rd \| 2012 \| geoffrey ndungu (ken) \| 2:11:09 \| magdalene mukunza ( \| 2:30:46 row 3 : 29th \| 2008 \| andriy naumov (uk \| 2:11:06 \| larisa zyuzko \| 2:29:55 row 4 : 26th \| 2005 \| dmytro osa \| 2:13:14 \| zinaida semenova (rus) \| 2:32:53 row 5 : 25th \| 2004 \| lezan kipkosgei ki \| 2:13:07 \| yelena burykina ( \| 2:32:53 row 6 : 24th \| 2003 \| onesmus musyoka kil \| 2:17:03 \| ruth kutol (ken) \| 2:27:22 row 7 : 23rd \| 2002 \| frederick cherono (ken \| 2:14:25 \| lidiya vasilevskay \| 2:32:58 row 8 : 17th \| 1996 \| joseph kahugu ( \| 2:17:42 \| cathy shum (irl \| 2:38:56 row 9 : 16th \| 1995 \| william musyoki (ken \| 2:16:57 \| trudi thomson (g \| 2:38:23 row 10 : 15th \| 1994 \| steve brace (gbr) \| 2:17:13 \| linda rushmere (gbr \| 2:40:17 row 11 : 14th \| 1993 \| john treacy (irl) \| 2:14:40 \| cathy shum (irl \| 2:38:14 row 12 : 13th \| 1992 \| jerry kiernan (i \| 2:17:19 \| karen cornwall (gbr) \| 2:41:58 row 13 : 12th \| 1991 \| tommy hughes (gbr \| 2:14:46 \| christine kennedy (i \| 2:35:56 row 14 : 11th \| 1990 \| john bolger (irl) \| 2:17:17 \| christine kennedy (i \| 2:41:27 row 15 : 10th \| 1989 \| john griffin (irl) \| 2:16:44 \| pauline nolan (irl) \| 2:44:32 row 16 : 9th \| 1988 \| john griffin (irl) \| 2:16:02 \| moira o'neill ( \| 2:37:06 row 17 : 8th \| 1987 \| pavel klimes (tch) \| 2:14:21 \| carolyn naisby ( \| 2:42:08 row 18 : 6th \| 1985 \| dick hooper (irl \| 2:13:48 \| julia gates (gbr \| 2:41:26 row 19 : 5th \| 1984 \| svend-erik kristen \| 2:18:25 \| ailish smyth (i \| 2:47:30 row 20 : 4th \| 1983 \| ronny agten (bel) \| 2:14:19 \| mary purcell (irl) \| 2:46:09 row 21 : 2nd \| 1981 \| neil cusack (irl \| 2:13:58 \| emily dowling (ir \| 2:48:22 ] Execute this SQL based on the above table: select edition where year = 1994	15th
[ header: rank \| name \| height ft (m) \| floors \| year \| coordinates \| notes row 1 : 1 \| ordway building \| 404 (123) \| 28 \| 1970 \| 37°48′36′′n 122° \| tallest building in both oakland and in row 2 : 2 \| kaiser center \| 390 (119) \| 28 \| 1960 \| 37°48′32′′n 122° \| tallest building constructed in the 1960s row 3 : 4 \| 1111 broadway \| 360 (110) \| 24 \| 1990 \| 37°48′10′′n 122° \| tallest building constructed in the 1990s row 4 : 5 \| kaiser engineering building \| 336 (102) \| 25 \| 1984 \| 37°48′21′′n 122° \| None row 5 : 7= \| em harris state office building \| 328 (100) \| 22 \| 1998 \| 37°48′23′′n 122° \| None row 6 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′16′′n 122° \| None row 7 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′18′′n 122° \| None row 8 : 10 \| oakland city hall \| 320 (98) \| 14 \| 1914 \| 37°48′19′′n 122° \| tallest building constructed in the 1910s; national row 9 : 12 \| 1330 broadway \| 297 (91) \| 21 \| 1956-1959 \| 37°48′14′′n 122° \| None row 10 : 13 \| pacific bell building \| 296 (90) \| 20 \| 1985 \| 37°48′37′′n 122° \| None row 11 : 14 \| 555 city center \| 279 (85) \| 20 \| 2002 \| 37°48′13′′n 122° \| None row 12 : 15 \| park bellevue tower \| 270 (82) \| 25 \| 1969 \| 37°48′28′′n 122° \| None row 13 : 16 \| st. paul's towers \| 267 (81) \| 22 \| 1966 \| 37°48′42′′n 122° \| None row 14 : 17 \| the grand apartments \| 263 (80) \| 22 \| 2008 \| 37°48′41′′n 122° \| None row 15 : 18 \| central building \| 235 (72) \| 15 \| 1926 \| 37°48′15′′n 122° \| None row 16 : 19 \| bank of america building \| 225 (69) \| 18 \| 1907 \| 37°48′10′′n 122° \| tallest building constructed in the decade of 1900 ] Execute this SQL based on the above table: select year where height ft (m) > '336 (102)' order by height ft (m) asc limit 1	1990
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : loss \| 21-7 \| kenji osawa \| decision (unanimous) \| vale tudo japan 2012 \| december 24, 2012 \| 3 \| 5:00 \| tokyo, japan \| None row 2 : win \| 20-5 \| koichiro matsumoto \| tko (punches) \| dream: fight for japan! \| may 29, 2011 \| 1 \| 6:51 \| saitama, japan \| None row 3 : loss \| 18-4 \| hatsu hioki \| decision (split) \| shooto: the way of shooto 3: \| may 30, 2010 \| 3 \| 5:00 \| tokyo, japan \| lost shooto lightweight (143 lbs.) row 4 : win \| 18-3 \| gerald lovato \| submission (armbar) \| shooto: the way of shooto 1: \| january 23, 2010 \| 3 \| 4:11 \| tokyo, japan \| None row 5 : loss \| 14-3 \| savant young \| decision (unanimous) \| shooto tradition 1 \| may 3, 2008 \| 2 \| 5:00 \| tokyo, japan \| None row 6 : win \| 13-2 \| marc duncan \| submission (rear-naked choke) \| shooto: back to our roots 4 \| july 15, 2007 \| 1 \| 3:16 \| tokyo, japan \| None row 7 : loss \| 12-2 \| akitoshi tamura \| decision (unanimous) \| shooto: back to our roots 3 \| may 18, 2007 \| 3 \| 5:00 \| tokyo, japan \| lost shooto lightweight (143 lbs.) row 8 : win \| 10-1 \| cole miller \| decision (unanimous) \| shooto 2006: 7/21 in kor \| july 21, 2006 \| 3 \| 5:00 \| tokyo, japan \| None row 9 : win \| 8-1 \| makoto ishikawa \| decision (unanimous) \| shooto: the victory of the truth \| february 17, 2006 \| 3 \| 5:00 \| tokyo, japan \| None row 10 : win \| 7-1 \| akitoshi tamura \| decision (majority) \| shooto 2005: 11/6 in koraku \| november 6, 2005 \| 2 \| 5:00 \| tokyo, japan \| None row 11 : loss \| 6-1 \| antonio carvalho \| decision (majority) \| shooto: alive road \| august 20, 2005 \| 3 \| 5:00 \| yokohama, japan \| None row 12 : win \| 6-0 \| jin kazeta \| submission (rear-naked choke) \| shooto: 3/11 in korakuen \| march 11, 2005 \| 2 \| 4:17 \| tokyo, japan \| None row 13 : win \| 1-0 \| hayate usui \| decision (unanimous) \| shooto: shooter's dream 2 \| may 30, 2003 \| 2 \| 5:00 \| tokyo, japan \| None ] Execute this SQL based on the above table: select count ( * ) where location = 'tokyo, japan'	11
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select year where year = 1975	1975, 1975, 1975
[ header: device \| type \| iops \| interface \| notes row 1 : simple slc ssd \| ssd \| ~400 iops[citation needed] \| sata 3 gbit/s \| None row 2 : intel x25-m g2 \| ssd \| ~8,600 iops \| sata 3 gbit/s \| intel's data sheet claims 6,600/8 row 3 : intel x25-e (sl \| ssd \| ~5,000 iops \| sata 3 gbit/s \| intel's data sheet claims 3,300 row 4 : g.skill phoenix pro \| ssd \| ~20,000 iops \| sata 3 gbit/s \| sandforce-1200 based s row 5 : ocz vertex 3 \| ssd \| up to 60,000 iops \| sata 6 gbit/s \| random write 4 kb (aligned row 6 : corsair force series gt \| ssd \| up to 85,000 iops \| sata 6 gbit/s \| 240 gb drive, 555 row 7 : ocz vertex 4 \| ssd \| up to 120,000 iops \| sata 6 gbit/s \| 256 gb drive, 560 row 8 : texas memory systems ramsan \| ssd \| 120,000+ random read/write iops \| pcie \| includes ram cache row 9 : virident systems tachion \| ssd \| 320,000 sustained read iops using 4k \| pcie \| None row 10 : fusion-io iodrive du \| ssd \| 250,000+ iops \| pcie \| None row 11 : violin memory violin 3200 \| ssd \| 250,000+ random read/write iops \| pcie /fc/infini \| flash memory array row 12 : whiptail, accela \| ssd \| 250,000/200,000+ write/read i \| fibre channel, iscsi, infini \| flash based storage array row 13 : ddrdrive x1 \| ssd \| 300,000+ (512b random read \| pcie \| None row 14 : whiptail, invicta \| ssd \| 650,000/550,000+ read/write i \| fibre channel, iscsi, infini \| flash based storage array row 15 : violin memory violin 6000 \| 3ru flash memory array \| 1,000,000+ random read/write iops \| /fc/infiniband/10g \| None ] Execute this SQL based on the above table: select device where notes = 'flash memory array'	violin memory violin 3200
[ header: date \| city \| venue \| member \| performance \| notes row 1 : 15 january \| dublin \| rte studios \| brian & roger \| (1) "we will rock you" (2) "we \| the late late show row 2 : 31 january \| dublin \| the o2 \| brian \| (1) "bohemian rhap \| matinee and evening performances. roger row 3 : 10 may \| london \| dominion theatre \| brian & roger \| (1) "bohemian rhap \| 8th anniversary row 4 : 3 september \| utrecht \| beatrix theatre \| brian \| (1) "bohemian rhap \| None row 5 : 4 september \| london \| dominion theatre \| brian \| (1) "bohemian rhap \| matinee and evening performances row 6 : 12 september \| stockholm \| cirkus arena restaurang \| brian \| (1) "bohemian rhap \| None row 7 : 21 october \| berlin \| theater des westens \| brian \| (1) "bohemian rhap \| None ] Execute this SQL based on the above table: select count ( * )	7
[ header: released \| title \| artist \| format \| language row 1 : 20 january 2011 \| v.v.i.p \| seungri \| mini album, digital download \| korean row 2 : 24 february 2011 \| tonight \| big bang \| mini album, digital download \| korean row 3 : 8 april 2011 \| bigbang special edition \| big bang \| studio album, digital download \| korean row 4 : 11 may 2011 \| big bang 2 \| big bang \| studio album, digital download \| japanese row 5 : 25 may 2011 \| the ultimate: international best \| big bang \| compilation \| japanese row 6 : 30 june 2011 \| 2011 big show live concert \| big bang \| live album \| korean row 7 : 28 july 2011 \| 2ne1 \| 2ne1 \| extended play, digital download \| korean row 8 : 21 september 2011 \| nolza \| 2ne1 \| extended play, digital download \| japanese row 9 : 21 october 2011 \| fever's end: part 1 \| tablo \| studio album, digital download \| korean row 10 : 1 november 2011 \| fever's end: part 2 \| tablo \| studio album, digital download \| korean row 11 : 21 december 2011 \| 1st live concert nolza! \| 2ne1 \| live album \| korean row 12 : 29 april 2011 \| loveless \| gummy \| mini album, digital download \| japanese row 13 : 14 december 2011 \| the best of bigbang \| big bang \| compilation \| japanese ] Execute this SQL based on the above table: select ( select language where title = 'the best of bigbang' ) - ( select language where title = 'loveless' )	0
[ header: name \| abbr. \| leader \| ideology \| political position \| mps row 1 : serbian progressive party српска \| sns \| aleksandar vucic \| conservatism \| centre-right \| 134 / 250 row 2 : socialist party of serbia социјал \| sps \| ivica dacic \| socialism \| centre-left to left-wing \| 25 / 250 row 3 : party of united pensioners of serbia п \| pups \| jovan krkobabic \| pensioners' interests \| left-wing \| 12 / 250 row 4 : new democratic party нова демок \| nds \| boris tadic \| social democracy, green politics \| centre-left \| 10 / 250 row 5 : social democratic party of serbia социј \| sdps \| rasim ljajic \| social democracy \| centre-left \| 10 / 250 row 6 : united serbia јединстве \| js \| dragan markovic \| populism \| right-wing \| 7 / 250 row 7 : league of social democrats of voj \| lsv \| nenad canak \| social democracy, regionalism \| centre-left \| 6 / 250 row 8 : alliance of vojvodina hung \| svm \| istvan pasztor \| hungarian minority politics \| minority politics \| 6 / 250 row 9 : serbian renewal movement српски п \| spo \| vuk draskovic \| monarchism, pro-europeanism \| centre-right \| 5 / 250 row 10 : movement of socialists покрет \| ps \| aleksandar vulin \| socialism, marxism \| left-wing to far-left \| 3 / 250 row 11 : party of democratic action of sandzak \| sda \| sulejman ugl \| bosniak minority politics \| minority politics \| 3 / 250 row 12 : together for serbia зајед \| zzs \| dusan petrovic \| social democracy \| centre-left \| 2 / 250 row 13 : new party нова странка \| nova \| zoran zivkovic \| liberalism, pro-europeanism \| centre \| 2 / 250 ] Execute this SQL based on the above table: select count ( abbr. ) where ideology in ( 'socialism' , 'socialism' )	1
[ header: year \| competition \| venue \| position \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 15th (q) \| 7.43 m row 2 : 1996 \| asian junior championships \| new delhi, india \| 1st \| 7.68 m row 3 : 1999 \| world championships \| seville, spain \| 6th \| 8.01 m row 4 : 2001 \| east asian games \| osaka, japan \| 3rd \| 7.77 m row 5 : 2002 \| asian championships \| colombo, sri lan \| 3rd \| 7.91 m (w) row 6 : 2002 \| asian games \| busan, south korea \| 4th \| 7.75 m row 7 : 2003 \| universiade \| daegu, south korea \| 7th \| 7.78 m ] Execute this SQL based on the above table: select count ( competition ) where id < ( select id where competition = 'asian junior championships' )	1
[ header: year \| song \| chart positions us country \| chart positions can country \| album row 1 : 1968 \| "god help you woman" \| 32 \| 24 \| singles only row 2 : 1969 \| "please take me back" \| 40 \| None \| singles only row 3 : 1969 \| "i'm not through loving you" \| 52 \| None \| singles only row 4 : 1969 \| "molly" \| 53 \| None \| singles only row 5 : 1973 \| "i see his love all over you" \| 67 \| None \| singles only row 6 : 1974 \| "fool passin' through" \| 68 \| None \| singles only row 7 : 1974 \| "forgettin' 'bout \| 51 \| None \| singles only row 8 : 1975 \| "one, two, three (never \| 88 \| None \| singles only row 9 : 1975 \| "woman, woman" \| 43 \| 46 \| singles only row 10 : 1976 \| "she's free but she's \| 66 \| None \| singles only row 11 : 1977 \| "chasin' my tail" \| 88 \| None \| singles only row 12 : 1977 \| "don't let my love stand in your \| 86 \| None \| singles only row 13 : 1983 \| "when you're not a lady" \| 16 \| None \| the man in the mirror row 14 : 1983 \| "you got me running" \| 28 \| None \| the man in the mirror row 15 : 1983 \| "the man in the mirror" \| 17 \| None \| the man in the mirror row 16 : 1984 \| "if i could only dance with you" \| 10 \| 10 \| the man in the mirror row 17 : 1984 \| "you're gettin' to me \| 1 \| 3 \| the man in the mirror row 18 : 1984 \| "let me down easy" \| 16 \| 33 \| the man in the mirror row 19 : 1985 \| "i'll be your fool tonight" \| 54 \| None \| past the point of no return row 20 : 1985 \| "in another minute" \| 27 \| None \| past the point of no return row 21 : 1986 \| "if i don't love you" \| 53 \| None \| past the point of no return row 22 : 1986 \| "the lights of albuquerque" \| 40 \| None \| everybody knows i'm yours ] Execute this SQL based on the above table: select album order by chart positions us country desc limit 1	singles only
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °f (°c) \| 97 (36) \| 100 (38) \| 104 (40) \| 110 (43) \| 121 (49) \| 123 (51) \| 125 (52) \| 121 (49) \| 122 (50) \| 115 (46) \| 101 (38) \| 96 (36) \| 125 (52) row 2 : average high °f (°c) \| 71.9 (22.2) \| 75.3 (24.1) \| 81.3 (27.4) \| 87.5 (30.8) \| 95.7 (35.4) \| 103.1 (39.5) \| 107.3 (41.8) \| 106.6 (41.4) \| 102.0 (38.9) \| 91.9 (33.3) \| 79.6 (26.4) \| 71.0 (21.7) \| 89.5 (31.9) row 3 : average low °f (°c) \| 44.6 (7) \| 48.0 (8.9) \| 54.8 (12.7) \| 60.7 (15.9) \| 67.7 (19.8) \| 74.2 (23.4) \| 80.3 (26.8) \| 80.3 (26.8) \| 74.0 (23.3) \| 63.7 (17.6) \| 51.8 (11) \| 44.2 (6.8) \| 62.1 (16.7) row 4 : record low °f (°c) \| 13 (-11) \| 20 (-7) \| 25 (-4) \| 33 (1) \| 38 (3) \| 45 (7) \| 59 (15) \| 56 (13) \| 46 (8) \| 31 (-1) \| 23 (-5) \| 17 (-8) \| 13 (-11) row 5 : precipitation inches (mm) \| 0.56 (14.2) \| 0.64 (16.3) \| 0.43 (10.9) \| 0.05 (1.3) \| 0.07 (1.8) \| 0.01 (0.3) \| 0.04 (1) \| 0.54 (13.7) \| 0.04 (1) \| 0.26 (6.6) \| 0.18 (4.6) \| 0.62 (15.7) \| 3.44 (87.4) ] Execute this SQL based on the above table: select count ( feb ) where month = 'precipitation inches (mm)' and month = 'record high °f (°c)'	0
[ header: year \| title \| album \| us r&b \| us pop \| us dance row 1 : 1989 \| "talk to myself"/sweet memories \| adventures in paradise a \| 4 \| 49 \| 18 row 2 : 1989 \| "promises, promises"/lover \| adventures in paradise a \| 7 \| None \| None row 3 : 1990 \| "one girl"/lover come back \| adventures in paradise a \| 31 \| None \| None row 4 : 1991 \| "i'm dreamin'" \| new jack city soundtrack \| 1 \| 89 \| 16 row 5 : 1991 \| "i wanna b ure lover" \| f.s. effect featuring christoph \| 52 \| None \| None row 6 : 1992 \| "all i see" \| changes \| 19 \| None \| 46 row 7 : 1993 \| "every little thing u do" \| changes \| 7 \| 75 \| None row 8 : 1993 \| "come go with me" \| changes \| 74 \| None \| None row 9 : 1995 \| "dance 4 me" \| not a perfect man \| 25 \| None \| None row 10 : 1995 \| "if you say" \| not a perfect man \| 91 \| None \| None ] Execute this SQL based on the above table: select us r&b group by us r&b order by count ( * ) desc limit 1	7
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select original album order by id desc limit 1	taman langit
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 8th \| 200 m \| 23.89 row 2 : 1996 \| olympic games \| atlanta, united states \| 11th (sf) \| 4x100 m relay \| 44.21 row 3 : 1997 \| european junior championships \| ljubljana, s \| 1st \| 100 m \| 11.39 row 4 : 1997 \| european junior championships \| ljubljana, s \| 3rd \| 200 m \| 23.43 row 5 : 1997 \| world championships \| athens, greece \| 36th (h) \| 100 m \| 11.59 row 6 : 1998 \| world junior championships \| annecy, france \| 8th (sf) \| 100 m \| 11.75 row 7 : 1998 \| european championships \| budapest, hungary \| 27th (h) \| 200 m \| 24.1 row 8 : 1998 \| european championships \| budapest, hungary \| 6th \| 4x100 m relay \| 44.1 row 9 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 100 m \| 11.47 row 10 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 200 m \| 23.26 row 11 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 4x100 m relay \| 44.4 row 12 : 1999 \| world championships \| seville, spain \| 24th (qf) \| 100 m \| 11.45 row 13 : 1999 \| world championships \| seville, spain \| 10th (h) \| 4x100 m relay \| 43.86 row 14 : 2000 \| european indoor championships \| ghent, belgium \| 21st (h) \| 60 m \| 7.4 row 15 : 2000 \| european indoor championships \| ghent, belgium \| 12th (sf) \| 200 m \| 23.83 row 16 : 2000 \| olympic games \| sydney, australia \| 12th (sf) \| 4x100 m relay \| 43.5 row 17 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 100 m \| 11.61 row 18 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 4x100 m relay \| 44.76 row 19 : 2001 \| world championships \| edmonton, canada \| 12th (sf) \| 100 m \| 11.46 row 20 : 2002 \| european championships \| munich, germany \| 20th (h) \| 100 m \| 11.58 row 21 : 2003 \| world championships \| paris, france \| 23rd (qf) \| 200 m \| 23.42 row 22 : 2004 \| world indoor championships \| budapest, hungary \| 13th (sf) \| 60 m \| 7.3 row 23 : 2004 \| world indoor championships \| budapest, hungary \| 10th (h) \| 200 m \| 23.79 row 24 : 2006 \| european championships \| gothenburg, sweden \| 11th (h) \| 4x100 m relay \| 44.32 row 25 : 2007 \| european indoor championships \| birmingham, united kingdom \| 5th (sf) \| 60 m \| 7.24 row 26 : 2007 \| universiade \| bangkok, thailand \| 1st \| 100 m \| 11.46 row 27 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x100 m relay \| 43.48 row 28 : 2007 \| world championships \| osaka, japan \| 32nd (h) \| 100 m \| 11.52 row 29 : 2007 \| world championships \| osaka, japan \| 10th (h) \| 4x100 m relay \| 43.41 ] Execute this SQL based on the above table: select competition order by year desc limit 1	european indoor championships
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 106 \| august 2 \| pirates \| 2-3 \| rick white (4-5) \| bobby munoz (7-4) \| dan miceli (2) \| 40164 \| 51-55 row 2 : 107 \| august 3 \| pirates \| 7-0 \| danny jackson (14-5) \| steve cooke (4-10) \| none \| 36542 \| 52-55 row 3 : 108 \| august 4 \| pirates \| 1-5 \| jon lieber (6-6) \| curt schilling (1-8) \| none \| 37481 \| 52-56 row 4 : 109 \| august 5 \| expos \| 0-5 \| pedro martinez (10-5) \| david west (4-9) \| none \| 33642 \| 52-57 row 5 : 110 \| august 6 \| expos \| 3-4 (11) \| john wetteland (4-6) \| doug jones (2-4) \| jeff shaw (1) \| 41699 \| 52-58 row 6 : 111 \| august 7 \| expos \| 4-6 \| ken hill (16-5) \| bobby munoz (7-5) \| mel rojas (16) \| 45346 \| 52-59 row 7 : 112 \| august 8 \| mets \| 2-3 \| bobby j. jones (12 \| danny jackson (14-6) \| john franco (29) \| 35977 \| 52-60 row 8 : 113 \| august 9 \| mets \| 5-1 \| curt schilling (2-8) \| mike remlinger (1-5) \| none \| 31740 \| 53-60 row 9 : 114 \| august 10 \| mets \| 2-6 \| bret saberhagen ( \| david west (4-10) \| john franco (30) \| 36716 \| 53-61 row 10 : 115 \| august 11 \| mets \| 2-1 (15) \| tom edens (5-1) \| mauro gozzo (3-5) \| none \| 37605 \| 54-61 ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	august 9
[ 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 count ( * ) where stadium > 758	40
[ header: network name \| flagship \| programming type \| owner \| affiliates row 1 : canal de las estrellas \| xew 2 \| soap operas, retro movies and sports \| televisa \| 1 row 2 : canal 5 \| xhgc 5 \| cartoons, movies, and series \| televisa \| 1 row 3 : azteca 7 \| xhimt 7 \| sports, series, and movies \| tv azteca \| 1 row 4 : galavision \| xeq 9 \| retro programming and sports \| televisa \| 1 row 5 : once tv \| xeipn 11 \| educational and cultural \| national polytechnic institute \| 1 row 6 : azteca 13 \| xhdf 13 \| news, soap operas, and sports \| tv azteca \| 1 row 7 : independent \| None \| varies \| independent \| 2 ] Execute this SQL based on the above table: select flagship where affiliates = 1	xew 2, xhgc 5, xhimt 7, xeq 9, xeipn 11, xhdf 13
[ header: trial number \| date \| name of trial \| celebrity/ies taking part \| winner/number of stars \| notes row 1 : 1 \| 13 november 2006 \| mineshaft misery \| jan \| None \| none row 2 : 2 \| 14 november 2006 \| flash flood \| david \| None \| none row 3 : 3 \| 15 november 2006 \| jungle boogie \| scott \| None \| None row 4 : 4 \| 16 november 2006 \| treetop terror \| jan scott \| None \| none row 5 : 5 (live) \| 17 november 2006 \| jungle spa \| dean \| None \| None row 6 : 6 \| 18 november 2006 \| operation \| phina jason \| None \| None row 7 : 7 \| 19 november 2006 \| snake bite \| jan \| None \| None row 8 : 8 \| 20 november 2006 \| bull in a china shop \| jan \| None \| none row 9 : 9 \| 21 november 2006 \| catch a falling star \| jan scott \| jan \| None row 10 : 10 \| 22 november 2006 \| bushtucker duel \| jan scott \| scott \| none row 11 : 11 \| 23 november 2006 \| what lurks beneath \| phina scott \| phina \| None row 12 : 12 \| 24 november 2006 \| thunderball \| jason malandra matt \| None \| none row 13 : 13 \| 25 november 2006 \| jungle falls \| dean lauren phina \| None \| none row 14 : 14 \| 26 november 2006 \| tomb of torment \| myleene \| None \| none row 15 : 15 \| 27 november 2006 \| shooting gallery \| david jason matt \| None \| none row 16 : 16 \| 28 november 2006 \| skyscrape \| malandra myleene \| None \| none row 17 : 17 \| 29 november 2006 \| temple of doom \| dean \| None \| none row 18 : 18 \| 30 november 2006 \| celebrity cyclone \| jason myleene matt \| None \| none row 19 : 19 \| 1 december 2006 \| bushtucker bonanza \| matt \| None \| none row 20 : 20 \| 1 december 2006 \| fill your face \| jason \| None \| none row 21 : 21 \| 1 december 2006 \| scareoke \| myleene \| None \| none ] Execute this SQL based on the above table: select winner/number of stars order by name of trial - winner/number of stars desc limit 1	jan
[ header: state \| city/county \| population served \| charter type \| station name \| web site row 1 : mo \| cape girardeau; jackson \| None \| pg \| public access cable tv (cg99 \| http://www.cityofcapegirard row 2 : mo \| columbia \| 108500 \| e \| university of missouri tv (mut \| http://mutv.missouri.e row 3 : mo \| florissant \| None \| g \| florissant city tv \| http://tv.florissantmo row 4 : mo \| independence \| 116830 \| g \| independence city 7 \| http://www.ci.independence row 5 : mo \| jefferson city \| 40000 \| p \| jefferson city access tv 81 \| http://www.facebook.com/page row 6 : mo \| kansas city \| None \| g \| kansas city (kcc \| http://www.kcmo.org row 7 : mo \| lebanon \| None \| peg \| lebanon community access channel (jtv \| http://www.lebanon.k12. row 8 : mo \| liberty \| None \| pe \| liberty school district cable tv - channel \| http://www.liberty.k12. row 9 : mo \| rolla \| 19559 \| pg \| rolla - channel 16 \| http://www.rollachannel6.com row 10 : mo \| springfield \| None \| p \| springfield cable 25 \| http://mappingaccess.org/n row 11 : mo \| springfield \| None \| g \| springfield cityview \| http://www.springfieldmo.gov row 12 : mo \| st. joseph \| None \| e \| missouri western state university educational access - \| http://www.missouriwestern.e row 13 : mo \| st. louis \| 319294 \| e \| st. louis higher education channel ( \| http://www.hectv.org row 14 : mo \| st. louis \| 319294 \| e \| st. louis tv ( \| http://stltv.net row 15 : mo \| warrensburg \| None \| e \| university of central missouri - central \| http://www.ucmo.e ] Execute this SQL based on the above table: select station name where station name in ( 'university of central missouri - central tv' , 'independence city 7' ) order by city/county + state desc limit 1	independence city 7
[ 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 count ( * ) where iata = 11	0
[ header: ep# \| title \| broadcast date \| written by \| directed by row 1 : 1 \| "birth of a legend" \| april 18, 1995 \| michael piller & bill dial \| charles correll row 2 : 2 \| "mr. pratt goes to \| april 25, 1995 \| michael piller & bill dial \| william gereghty row 3 : 3 \| "legend on his president's secret service \| may 2, 1995 \| bob wilcox \| michael vejar row 4 : 4 \| "custer's next to last stand" \| may 9, 1995 \| bill dial \| william gereghty row 5 : 5 \| "the life, death, and life of wild \| may 16, 1995 \| peter allan fields \| michael caffey row 6 : 6 \| "knee-high noon" \| may 23, 1995 \| steve stolier & fr \| james l. conway row 7 : 7 \| "the gospel according to legend" \| june 12, 1995 \| john considine \| michael vejar row 8 : 8 \| "bone of contention" \| june 20, 1995 \| george geiger \| charles correll row 9 : 9 \| "revenge of the herd" \| july 4, 1995 \| tim burns \| bob balaban row 10 : 10 \| "fall of a legend" \| july 18, 1995 \| bob shane & r \| michael vejar row 11 : 11 \| "clueless in san franci \| july 25, 1995 \| carol caldwell & marianne clark \| charles correll row 12 : 12 \| "skeletons in the closet" \| august 8, 1995 \| david rich \| steve shaw ] Execute this SQL based on the above table: select written by order by ep# desc limit 1	david rich
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select interferometer and observing mode where minimum baseline (m) (un-projected) = ( select max ( minimum baseline (m) (un-projected) ) )	keck interferometer
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select year(s) won where total > 151 order by total limit 1	1960
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : 1a \| 30 june \| leiden - st willebro \| plain stage \| 135 km (84 mi) \| jan raas (ne row 2 : 1b \| 30 june \| st willebrord - \| plain stage \| 100 km (62 mi) \| walter planckaert (bel row 3 : 2 \| 1 july \| brussel - st amand \| plain stage \| 199 km (124 mi) \| jacques esclassan (f row 4 : 3 \| 2 july \| st amand les eaux - \| plain stage \| 244 km (152 mi) \| klaus-peter thaler ( row 5 : 4 \| 3 july \| evreux - caen \| team time trial \| 153 km (95 mi) \| ti-raleigh row 6 : 5 \| 4 july \| caen - maze montgeoffroy \| plain stage \| 244 km (152 mi) \| freddy maertens (bel) row 7 : 6 \| 5 july \| maze montgeoffroy - poit \| plain stage \| 162 km (101 mi) \| sean kelly (ire) row 8 : 7 \| 6 july \| poitiers - bordeaux \| plain stage \| 242 km (150 mi) \| freddy maertens (bel) row 9 : 8 \| 7 july \| st emilion - \| individual time trial \| 59 km (37 mi) \| bernard hinault (fra row 10 : 9 \| 8 july \| bordeaux - biarritz \| plain stage \| 233 km (145 mi) \| miguel maria lasa (es row 11 : 14 \| 14 july \| besse en chandesse \| individual time trial \| 52 km (32 mi) \| joop zoetemel row 12 : 15 \| 15 july \| st dier d'auver \| hilly stage \| 196 km (122 mi) \| bernard hinault (fra row 13 : 17 \| 18 july \| grenoble - morzine \| stage with mountain(s) \| 225 km (140 mi) \| christian seznec row 14 : 19 \| 20 july \| lausanne - belfort \| plain stage \| 182 km (113 mi) \| marc demeyer (bel) row 15 : 20 \| 21 july \| metz - nancy \| individual time trial \| 72 km (45 mi) \| bernard hinault (fra row 16 : 22 \| 23 july \| st germain en laye \| plain stage \| 162 km (101 mi) \| gerrie knetemann (n ] Execute this SQL based on the above table: select route order by route desc limit 1	st willebrord - brussel
[ header: week \| date \| opponent \| result \| attendance \| bye row 1 : 1 \| september 8, 2002 \| st. louis rams \| w 23-16 \| 75710 \| 0 row 2 : 2 \| september 15, 2002 \| at san francisco 49ers \| w 24-14 \| 67685 \| 0 row 3 : 3 \| september 22, 2002 \| buffalo bills \| w 28-23 \| 75359 \| 0 row 4 : 4 \| september 30, 2002 \| at baltimore ravens \| l 34-23 \| 69538 \| 0 row 5 : 5 \| october 6, 2002 \| san diego chargers \| w 26-9 \| 75065 \| 0 row 6 : 6 \| october 13, 2002 \| miami dolphins \| l 24-22 \| 75941 \| 0 row 7 : 7 \| october 20, 2002 \| at kansas city chiefs \| w 37-34 \| 78446 \| 0 row 8 : 8 \| october 27, 2002 \| at new england patriots \| w 24-16 \| 68436 \| 0 row 9 : 9 \| None \| None \| None \| None \| 1 row 10 : 10 \| november 11, 2002 \| oakland raiders \| l 34-10 \| 76643 \| 0 row 11 : 11 \| november 17, 2002 \| at seattle seahawks \| w 31-9 \| 65495 \| 0 row 12 : 12 \| november 24, 2002 \| indianapolis colts \| l 23-20 \| 75075 \| 0 row 13 : 13 \| december 1, 2002 \| at san diego chargers \| l 30-27 \| 66357 \| 0 row 14 : 14 \| december 8, 2002 \| at new york jets \| l 19-13 \| 78521 \| 0 row 15 : 15 \| december 15, 2002 \| kansas city chiefs \| w 31-24 \| 75947 \| 0 row 16 : 16 \| december 22, 2002 \| at oakland raiders \| l 28-16 \| 62592 \| 0 row 17 : 17 \| december 29, 2002 \| arizona cardinals \| w 37-7 \| 75164 \| 0 ] Execute this SQL based on the above table: select week where date = 'september 15, 2002'	2
[ 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 total assets (million tl) as of 30 september 2012 = 729	bank mellat
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select english title where year > 1924 order by year limit 1	pat and patachon are millionaires
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select year where title = '"molly (16 candles down the drain)"'	1995
[ header: choke \| constriction (inch) \| percentage of lead shot in 30-inch circle at 40 yards \| identification (notches) \| identification (stars) (spanish shotguns) row 1 : cylinder \| 0 \| 40 at 40 yd 70 at 25 \| 5 \| 5 row 2 : skeet 1 \| 0.005 \| 45 at 40 yd 75 at 25 \| None \| None row 3 : 2 \| 0.01 \| 50 \| 4 \| 4 row 4 : skeet 2 (light mod.) \| 0.015 \| 55 \| None \| None row 5 : modified \| 0.02 \| 60 \| 3 \| 3 row 6 : 3 \| 0.025 \| 65 \| 2 \| 2 row 7 : full \| 0.03 \| 70 \| 1 \| 1 row 8 : extra full \| 0.04 \| 73 \| 1 \| None row 9 : turkey \| 0.045 plus \| 75 plus \| 1 \| None ] Execute this SQL based on the above table: select count ( choke )	9
[ header: year \| song \| us r&b \| us rap \| album row 1 : 1991 \| "mistadobalina" \| 55 \| 6 \| i wish my brother george was here row 2 : 1991 \| "sleepin' on my couch" \| None \| None \| i wish my brother george was here row 3 : 1992 \| "dr. bombay.." \| None \| None \| i wish my brother george was here row 4 : 1993 \| "catch a bad one" \| None \| None \| no need for alarm row 5 : 1994 \| "wrong place" \| None \| 48 \| no need for alarm row 6 : 1999 \| "phoney phranchise" \| None \| 47 \| both sides of the brain row 7 : 2000 \| "if you must" \| None \| 27 \| both sides of the brain row 8 : 2008 \| "workin' it" \| None \| None \| eleventh hour row 9 : 2011 \| "one out of a million" \| None \| None \| golden era ] Execute this SQL based on the above table: select song group by song order by sum ( year ) desc limit 1	"one out of a million"
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select abs ( league - division ) where mlb season = 1983	0
[ header: year \| competition \| venue \| position \| notes row 1 : 2006 \| iaaf world athletics final \| stuttgart, germany \| 5th \| 110 m hurdles row 2 : 2007 \| world championships \| osaka, japan \| 4th (semis) \| 110 m hurdles row 3 : 2008 \| world indoor championships \| valencia, spain \| 4th (semis) \| 60 m hurdles row 4 : 2008 \| olympic games \| beijing, china \| 3rd \| 110 m hurdles row 5 : 2008 \| iaaf world athletics final \| stuttgart, germany \| 1st \| 110 m hurdles row 6 : 2010 \| world indoor championships \| doha, qatar \| 3rd \| 60 m hurdles row 7 : 2010 \| 2010 diamond league \| multiple locations \| 1st \| 110 m hurdles row 8 : 2013 \| 2013 diamond league \| multiple locations \| 1st \| 110 m hurdles row 9 : 2013 \| world championships \| moscow, russia \| 1st \| 110 m hurdles ] Execute this SQL based on the above table: select competition order by venue asc limit 1139	olympic games, world indoor championships, world championships, 2010 diamond league, 2013 diamond league, world championships, iaaf world athletics final, iaaf world athletics final, world indoor championships
[ header: team \| winners \| runners-up \| years won \| years runner-up row 1 : liverpool \| 8 \| 3 \| 1981, 1982, 1983, 1984, 1995, \| 1978, 1987, 2005 row 2 : aston villa \| 5 \| 3 \| 1961, 1975, 1977, 1994, 1996 \| 1963, 1971, 2010 row 3 : manchester united \| 4 \| 4 \| 1992, 2006, 2009, 2010 \| 1983, 1991, 1994, 2003 row 4 : tottenham hotspur \| 4 \| 3 \| 1971, 1973, 1999, 2008 \| 1982, 2002, 2009 row 5 : chelsea \| 4 \| 2 \| 1965, 1998, 2005, 2007 \| 1972, 2008 row 6 : nottingham forest \| 4 \| 2 \| 1978, 1979, 1989, 1990 \| 1980, 1992 row 7 : leicester city \| 3 \| 2 \| 1964, 1997, 2000 \| 1965, 1999 row 8 : manchester city \| 3 \| 1 \| 1970, 1976, 2014 \| 1974 row 9 : arsenal \| 2 \| 5 \| 1987, 1993 \| 1968, 1969, 1988, 2007, 2011 row 10 : norwich city \| 2 \| 2 \| 1962, 1985 \| 1973, 1975 row 11 : birmingham city \| 2 \| 1 \| 1963, 2011 \| 2001 row 12 : wolverhampton wanderers \| 2 \| 0 \| 1974, 1980 \| None row 13 : west bromwich albion \| 1 \| 2 \| 1966 \| 1967, 1970 row 14 : middlesbrough \| 1 \| 2 \| 2004 \| 1997, 1998 row 15 : queens park rangers \| 1 \| 1 \| 1967 \| 1986 row 16 : leeds united \| 1 \| 1 \| 1968 \| 1996 row 17 : stoke city \| 1 \| 1 \| 1972 \| 1964 row 18 : luton town \| 1 \| 1 \| 1988 \| 1989 row 19 : sheffield wednesday \| 1 \| 1 \| 1991 \| 1993 row 20 : swindon town \| 1 \| 0 \| 1969 \| None row 21 : oxford united \| 1 \| 0 \| 1986 \| None row 22 : blackburn rovers \| 1 \| 0 \| 2002 \| None row 23 : swansea city \| 1 \| 0 \| 2013 \| None row 24 : west ham united \| 0 \| 2 \| None \| 1966, 1981 row 25 : everton \| 0 \| 2 \| None \| 1977, 1984 row 26 : bolton wanderers \| 0 \| 2 \| None \| 1995, 2004 row 27 : sunderland \| 0 \| 2 \| None \| 1985, 2014 row 28 : rotherham united \| 0 \| 1 \| None \| 1961 row 29 : rochdale \| 0 \| 1 \| None \| 1962 row 30 : newcastle united \| 0 \| 1 \| None \| 1976 row 31 : southampton \| 0 \| 1 \| None \| 1979 row 32 : oldham athletic \| 0 \| 1 \| None \| 1990 row 33 : tranmere rovers \| 0 \| 1 \| None \| 2000 row 34 : wigan athletic \| 0 \| 1 \| None \| 2006 row 35 : cardiff city \| 0 \| 1 \| None \| 2012 row 36 : bradford city \| 0 \| 1 \| None \| 2013 ] Execute this SQL based on the above table: select max ( runners-up )	5.0
[ header: festival \| year \| award \| nominee \| result row 1 : blue mountains film festival \| 2011 \| animation prize \| None \| won row 2 : firstglance film festival philadelphia \| 2011 \| best director (animation) \| andrew martin \| won row 3 : lucerne international film festival \| 2011 \| best animated movie \| None \| nominated row 4 : village roadshow queensland new filmmakers \| 2011 \| best animation \| None \| won row 5 : village roadshow queensland new filmmakers \| 2011 \| best film \| None \| nominated row 6 : village roadshow queensland new filmmakers \| 2011 \| best direction \| andrew martin \| nominated row 7 : monaco international film festival \| 2011 \| best short film script \| None \| won row 8 : monaco international film festival \| 2011 \| best short animation \| None \| won row 9 : milan international film festival \| 2012 \| short film award \| None \| nominated row 10 : shorts in paradise film festival \| 2012 \| runner up award \| None \| won row 11 : worldfest houston international film festival and video \| 2012 \| special jury remi \| None \| won row 12 : janison short sharp film festival \| 2012 \| animation grand prize \| None \| won row 13 : create design awards \| 2012 \| motion category \| None \| nominated row 14 : st kilda film festival \| 2013 \| best comedy \| None \| won ] Execute this SQL based on the above table: select year where award = 'best animation'	2011
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select hdi where country = 'egypt'	0.708
[ header: rank \| county \| per capita income \| median household income \| median family income \| population \| number of households row 1 : 1 \| mccone \| $32,205 \| $42,998 \| $52,636 \| 1,734 \| 774 row 2 : 3 \| stillwater \| $27,168 \| $57,227 \| $65,438 \| 9,117 \| 3,796 row 3 : 4 \| richland \| $26,888 \| $52,516 \| $60,236 \| 9,746 \| 4,167 row 4 : 5 \| fallon \| $26,819 \| $52,529 \| $64,500 \| 2,890 \| 1,233 row 5 : 6 \| sheridan \| $26,537 \| $39,578 \| $55,313 \| 3,384 \| 1,587 row 6 : 10 \| carbon \| $24,983 \| $49,010 \| $59,823 \| 10,078 \| 4,571 row 7 : 13 \| park \| $24,717 \| $38,830 \| $50,252 \| 15,636 \| 7,310 row 8 : 15 \| missoula \| $24,343 \| $42,887 \| $58,302 \| 109,299 \| 45,926 row 9 : 17 \| phillips \| $24,227 \| $36,453 \| $55,362 \| 4,253 \| 1,819 row 10 : None \| montana \| $23,836 \| $43,872 \| $55,725 \| 989,415 \| 409,607 row 11 : 21 \| granite \| $23,222 \| $36,052 \| $47,685 \| 3,079 \| 1,417 row 12 : 22 \| cascade \| $22,963 \| $42,389 \| $53,540 \| 81,327 \| 33,809 row 13 : 23 \| sweet grass \| $22,785 \| $43,723 \| $56,552 \| 3,651 \| 1,590 row 14 : 24 \| wibaux \| $22,579 \| $40,417 \| $51,354 \| 1,017 \| 457 row 15 : 29 \| powder river \| $21,543 \| $37,685 \| $50,156 \| 1,743 \| 755 row 16 : 30 \| hill \| $21,420 \| $43,606 \| $55,963 \| 16,096 \| 6,275 row 17 : 33 \| beaverhead \| $21,110 \| $38,264 \| $53,036 \| 9,246 \| 4,014 row 18 : 34 \| petroleum \| $21,008 \| $36,875 \| $39,107 \| 494 \| 225 row 19 : 36 \| musselshell \| $20,875 \| $37,033 \| $47,860 \| 4,538 \| 2,046 row 20 : 38 \| teton \| $20,509 \| $39,516 \| $49,102 \| 6,073 \| 2,450 row 21 : 39 \| toole \| $20,464 \| $42,949 \| $54,722 \| 5,324 \| 2,015 row 22 : 40 \| chouteau \| $20,202 \| $41,064 \| $50,201 \| 5,813 \| 2,294 row 23 : 42 \| rosebud \| $19,844 \| $44,776 \| $56,282 \| 9,233 \| 3,395 row 24 : 43 \| lincoln \| $19,626 \| $30,823 \| $39,600 \| 19,687 \| 8,843 row 25 : 47 \| liberty \| $19,097 \| $40,212 \| $44,957 \| 2,339 \| 822 row 26 : 48 \| pondera \| $18,989 \| $36,419 \| $47,656 \| 6,153 \| 2,285 row 27 : 50 \| sanders \| $18,472 \| $30,622 \| $37,514 \| 11,413 \| 5,121 row 28 : 51 \| powell \| $17,849 \| $39,851 \| $45,339 \| 7,027 \| 2,466 row 29 : 52 \| roosevelt \| $17,821 \| $37,451 \| $50,146 \| 10,425 \| 3,553 row 30 : 55 \| blaine \| $16,813 \| $37,034 \| $40,890 \| 6,491 \| 2,357 ] Execute this SQL based on the above table: select min ( county ) where county = 'lincoln'	lincoln
[ 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 ( location )	16
[ header: lower mississippi periods \| lower yazoo phases \| lower yazoo dates \| tensas/natchez phases \| cahokia phases \| cahokia dates \| ohio/miss. river confluence phases \| ohio/miss. dates row 1 : historic \| russell \| 1650-1750 ce \| tensas / nat \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 2 : plaquemine mississippian culture late \| wasp lake \| 1400-1650 ce \| transylvania / emer \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 3 : plaquemine mississippian culture late \| lake george \| 1300-1400 ce \| fitzhugh / foster \| sand prairie \| 1275-1350 ce \| medley phase \| 1300-1500 ce row 4 : plaquemine mississippian culture late \| winterville \| 1200-1300 ce \| routh / anna \| moorehead \| 1200-1275 ce \| dorena \| 1100-1300 ce row 5 : transitional coles creek \| crippen point \| 1050-1200 ce \| preston / gordon \| lohmann sterling \| 1050-1200 ce \| dorena \| 1100-1300 ce row 6 : coles creek culture late coles creek middle co \| kings crossing \| 950-1050 ce \| balmoral \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 7 : coles creek culture late coles creek middle co \| aden \| 800-950 ce \| ballina \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 8 : coles creek culture late coles creek middle co \| bayland \| 600-800 ce \| sundown \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 9 : baytown/troyville baytown 2 bay \| deasonville \| 500-600 ce \| marsden \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 10 : baytown/troyville baytown 2 bay \| little sunflower \| 400-500 ce \| indian bayou \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 11 : marksville culture late marksville early marksville \| issaquena \| 200-400 ce \| issaquena \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 12 : marksville culture late marksville early marksville \| anderson landing \| 0-200 ce \| point lake/ grand gulf \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 13 : tchefuncte culture \| tuscola \| 400 bce-0 ce \| panther lake \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 14 : jaketown \| poverty point \| 700- 400 bce \| frasier \| early woodland \| 700-200 bce \| o'bryan ridge \| 700-550 bce row 15 : None \| poverty point \| 1000-700 bce \| None \| late archaic \| 1000 - 200 bce \| o'bryan ridge \| 700-550 bce ] Execute this SQL based on the above table: select count ( * ) where lower yazoo phases = 'lake george'	1
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 26 \| paul tracy \| team kool green \| 225 \| 1:48:49.169 \| 6 \| 20 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 225 \| 5.88 \| 3 \| 16 row 3 : 3 \| 5 \| gil de ferran \| walker racing \| 225 \| 6.456 \| 16 \| 14 row 4 : 4 \| 12 \| jimmy vasser \| chip ganassi racing \| 225 \| 7.937 \| 2 \| 12 row 5 : 5 \| 40 \| adrian fernandez \| patrick racing \| 225 \| 9.929 \| 18 \| 10 row 6 : 6 \| 11 \| christian fittipaldi \| newman-haas racing \| 225 \| 11.251 \| 13 \| 8 row 7 : 7 \| 27 \| dario franchitti \| team kool green \| 225 \| 12.578 \| 4 \| 6 row 8 : 8 \| 17 \| mauricio gugelmin \| pacwest racing \| 225 \| 15.223 \| 12 \| 5 row 9 : 9 \| 33 \| patrick carpentier \| forsythe racing \| 224 \| +1 lap \| 8 \| 4 row 10 : 10 \| 4 \| juan pablo montoya \| chip ganassi racing \| 224 \| +1 lap \| 5 \| 3+1 row 11 : 11 \| 25 \| cristiano da matta \| arciero-wells racing \| 224 \| +1 lap \| 7 \| 2 row 12 : 12 \| 18 \| roberto moreno \| pacwest racing \| 223 \| +2 laps \| 9 \| 1 row 13 : 13 \| 7 \| max papis \| team rahal \| 222 \| +3 laps \| 17 \| None row 14 : 14 \| 36 \| alex barron \| all american racing \| 222 \| +3 laps \| 10 \| None row 15 : 15 \| 6 \| michael andretti \| newman-haas racing \| 222 \| +3 laps \| 11 \| None row 16 : 16 \| 19 \| michel jourdain, j \| payton/coyne racing \| 222 \| +3 laps \| 21 \| None row 17 : 17 \| 24 \| scott pruett \| arciero-wells racing \| 222 \| +3 laps \| 15 \| None row 18 : 18 \| 44 \| tony kanaan \| forsythe racing \| 221 \| +4 laps \| 20 \| None row 19 : 19 \| 2 \| al unser, jr \| marlboro team penske \| 221 \| +4 laps \| 22 \| None row 20 : 20 \| 20 \| p. j. jones \| patrick racing \| 219 \| +6 laps \| 14 \| None row 21 : 21 \| 10 \| richie hearn \| della penna motorsports \| 219 \| +6 laps \| 19 \| None row 22 : 22 \| 34 \| dennis vitolo \| payton/coyne racing \| 212 \| +13 laps \| 26 \| None row 23 : 23 \| 16 \| shigeaki hattori \| bettenhausen racing \| 118 \| contact \| 24 \| None row 24 : 24 \| 22 \| robby gordon \| team gordon \| 83 \| electrical \| 23 \| None row 25 : 25 \| 8 \| bryan herta \| team rahal \| 81 \| handling \| 25 \| None row 26 : 26 \| 9 \| helio castro-neves \| hogan racing \| 30 \| turbo boost \| 1 \| 1 ] Execute this SQL based on the above table: select team order by team desc limit 1	walker racing
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : aberdeen \| 1 \| monroe county \| 72134 row 2 : advance \| 1 \| baxter county \| None row 3 : aggie \| 1 \| craighead county \| None row 4 : air base \| 1 \| pulaski county \| 72076 row 5 : alabam \| 1 \| madison county \| 72740 row 6 : alamo \| 1 \| montgomery county \| None row 7 : albion \| 1 \| white county \| 72143 row 8 : alexander \| 1 \| greene county \| 72450 row 9 : alexander \| 2 \| pulaski county \| 72002 row 10 : alfrey \| 1 \| monroe county \| 72021 row 11 : algoa \| 1 \| jackson county \| 72112 row 12 : alix \| 1 \| franklin county \| 72820 row 13 : alleene \| 1 \| little river county \| 71820 row 14 : allis \| 1 \| drew county \| None row 15 : alpha \| 1 \| yell county \| None row 16 : amy \| 1 \| ouachita county \| 71701 row 17 : andrews \| 1 \| white county \| None row 18 : anthony \| 1 \| hempstead county \| 71801 row 19 : anthony subdivision \| 1 \| crittenden county \| None row 20 : anthonyville \| 1 \| crittenden county \| 72301 row 21 : antioch \| 1 \| white county \| 72012 row 22 : apalco \| 1 \| lafayette county \| None row 23 : appleby \| 1 \| washington county \| None row 24 : applegate ford \| 1 \| carroll county \| None row 25 : arbaugh \| 1 \| newton county \| 72852 row 26 : arden \| 1 \| little river county \| 71822 row 27 : arkansas a and m \| 1 \| drew county \| None row 28 : arkansas polytechnic college \| 1 \| pope county \| None row 29 : arkansas state teachers college \| 1 \| faulkner county \| None row 30 : arkawana \| 1 \| baxter county \| None row 31 : arkinda \| 1 \| little river county \| 71836 row 32 : armstrong \| 1 \| sharp county \| 72482 row 33 : artesian \| 1 \| calhoun county \| None row 34 : artex \| 1 \| miller county \| None row 35 : artist point \| 1 \| crawford county \| None row 36 : asher \| 1 \| madison county \| 72727 row 37 : asher \| 1 \| pulaski county \| 72204 row 38 : ash flat \| 2 \| sharp county \| 72513 row 39 : ash flat \| 2 \| fulton county \| 72513 row 40 : ashton \| 1 \| chicot county \| 71653 row 41 : athelstan \| 1 \| mississippi county \| 72370 row 42 : athens \| 1 \| howard county \| 71971 row 43 : attica \| 1 \| randolph county \| 72455 row 44 : atwood \| 1 \| howard county \| None row 45 : aubrey \| 1 \| lee county \| 72311 row 46 : augsburg \| 1 \| pope county \| 72874 row 47 : augusta \| 1 \| woodruff county \| 72006 row 48 : austin \| 1 \| conway county \| 72027 row 49 : avery \| 1 \| lincoln county \| 71639 ] Execute this SQL based on the above table: select max ( lower zip code )	72874.0
[ header: rank \| wrestler \| no. of reigns \| combined days row 1 : 1 \| lou thesz \| 3 \| 3749 row 2 : 2 \| ric flair \| 8 \| 3103 row 3 : 3 \| harley race \| 7 \| 1799 row 4 : 4 \| dory funk, jr \| 1 \| 1563 row 5 : 5 \| dan severn \| 2 \| 1559 row 6 : 6 \| gene kiniski \| 1 \| 1131 row 7 : 7 \| adam pearce \| 5 \| 1078 row 8 : 8 \| jeff jarrett \| 6 \| 1006 row 9 : 9 \| pat o'connor \| 1 \| 903 row 10 : 10 \| jack brisco \| 2 \| 866 row 11 : 11 \| orville brown \| 1 \| 692 row 12 : 12 \| buddy rogers \| 1 \| 573 row 13 : 13 \| blue demon, jr \| 1 \| 505 row 14 : 14 \| naoya ogawa \| 2 \| 469 row 15 : 15 \| terry funk \| 1 \| 424 row 16 : 16 \| dick hutton \| 1 \| 421 row 17 : 17 \| rob conway \| 1 \| 294 row 18 : 18 \| christian cage \| 2 \| 245 row 19 : 19 \| whipper billy watson \| 1 \| 239 row 20 : 20 \| sting \| 2 \| 216 row 21 : 21 \| a.j. styles \| 3 \| 196 row 22 : 22 \| mike rapada \| 2 \| 176 row 23 : 23 \| steve corino \| 1 \| 175 row 24 : 24 \| colt cabana \| 2 \| 152 row 25 : 25 \| barry windham \| 1 \| 147 row 26 : 26 \| masahiro chono \| 1 \| 145 row 27 : 27 \| kahagas \| 1 \| 134 row 28 : 28 \| ron killings \| 2 \| 119 row 29 : 29 \| dusty rhodes \| 3 \| 107 row 30 : 30 \| chris candido \| 1 \| 97 row 31 : 31 \| raven \| 1 \| 88 row 32 : 32 \| satoshi kojima \| 1 \| 159 row 33 : 33 \| shinya hashimoto \| 1 \| 84 row 34 : 34 \| the sheik \| 1 \| 79 row 35 : 35 \| ricky steamboat \| 1 \| 76 row 36 : 36 \| ron garvin \| 1 \| 62 row 37 : 37 \| abyss \| 1 \| 56 row 38 : 39 \| ken shamrock \| 1 \| 49 row 39 : 39 \| brent albright \| 1 \| 49 row 40 : 40 \| the great muta \| 1 \| 48 row 41 : 41 \| sabu \| 1 \| 38 row 42 : 42 \| giant baba \| 3 \| 19 row 43 : 43 \| kerry von erich \| 1 \| 18 row 44 : 44 \| gary steele \| 1 \| 7 row 45 : 45 \| tommy rich \| 1 \| 4 row 46 : 46 \| rhino \| 1 \| 2 row 47 : 47 \| shane douglas \| 1 \| <1 ] Execute this SQL based on the above table: select count ( wrestler ) where no. of reigns > 818	0
[ header: constituency number \| name \| reserved for (sc/st/none) \| district \| number of electorates (2009) row 1 : 43 \| tikamgarh \| none \| tikamgarh \| 153339 row 2 : 44 \| jatara \| sc \| tikamgarh \| 145555 row 3 : 45 \| prithvipur \| none \| tikamgarh \| 139110 row 4 : 46 \| niwari \| none \| tikamgarh \| 141265 row 5 : 47 \| khargapur \| none \| tikamgarh \| 161546 row 6 : 48 \| maharajpur \| none \| chhatarpur \| 162460 row 7 : 51 \| chhatarpur \| none \| chhatarpur \| 152605 row 8 : 52 \| bijawar \| none \| chhatarpur \| 151159 row 9 : total \| total \| total \| total \| 1207.039 ] Execute this SQL based on the above table: select reserved for (sc/st/none) where number of electorates (2009) = '1207.039'	total
[ header: state \| type \| name \| title \| royal house \| from \| to row 1 : chu \| sovereign \| huai \| king \| mi \| 328 bc \| 299 bc row 2 : han \| sovereign \| xiang \| marquis \| None \| 311 bc \| 296 bc row 3 : lu \| sovereign \| wen ii \| duke \| ji \| 302 bc \| 280 bc row 4 : qi \| sovereign \| min \| king \| tian \| 300 bc \| 284 bc row 5 : qin \| sovereign \| zhaoxiang \| king \| ying \| 306 bc \| 251 bc row 6 : song \| sovereign \| kang \| king \| None \| 328 bc \| 286 bc row 7 : wei \| sovereign \| xiang \| king \| None \| 318 bc \| 296 bc row 8 : wey \| sovereign \| si jun \| marquis \| None \| 334 bc \| 293 bc row 9 : yan \| sovereign \| zhao \| king \| None \| 311 bc \| 279 bc row 10 : zhao \| sovereign \| wuling \| king \| None \| 325 bc \| 299 bc ] Execute this SQL based on the above table: select count ( * ) where from in ( 1258 , 1104 )	0
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select location where location in ( 'morocco' , 'burkina faso' ) order by uci rating desc limit 1	burkina faso
[ header: date \| opponent \| time \| score \| record row 1 : 10/9/2009 \| university of new hampshire \| 7 p.m \| loss, 4-0 \| 0-1-0 row 2 : 10/10/2009 \| boston college \| 5 p.m \| None \| None row 3 : 10/16/2009 \| providence college \| 7 p.m \| 1-4 \| None row 4 : 10/17/2009 \| university of connecticut \| 4 p.m \| None \| None row 5 : 10/23/2009 \| wayne state university \| 7 p.m \| None \| None row 6 : 10/24/2009 \| wayne state university \| 2 p.m \| None \| None row 7 : 10/30/2009 \| harvard university \| 7 p.m \| None \| None row 8 : 10/31/2009 \| dartmouth college \| 3:30 p.m \| None \| None row 9 : 11/6/2009 \| rensselaer \| 2:30 p.m \| None \| None row 10 : 11/7/2009 \| union college \| 2:30 p.m \| 4-0 \| None row 11 : 11/13/2009 \| st. lawrence university \| 7 p.m \| None \| None row 12 : 11/14/2009 \| clarkson university \| 4 p.m \| None \| None row 13 : 11/20/2009 \| quinnipiac university \| 7 p.m \| None \| None row 14 : 11/21/2009 \| princeton university \| 4 p.m \| None \| None row 15 : 11/24/2009 \| syracuse university \| 7 p.m \| None \| None row 16 : 11/27/2009 \| mercyhurst college \| 7 p.m \| None \| None row 17 : 11/28/2009 \| mercyhurst college \| 2 p.m \| None \| None row 18 : 12/4/2009 \| brown university \| 7 p.m \| None \| None row 19 : 12/5/2009 \| yale university \| 4 p.m \| None \| None row 20 : 1/2/2010 \| syracuse university \| 7 p.m \| None \| None row 21 : 1/8/2010 \| niagara university \| 7 p.m \| None \| None row 22 : 1/9/2010 \| niagara university \| 4 p.m \| None \| None row 23 : 1/15/2010 \| dartmouth college \| 7 p.m \| None \| None row 24 : 1/16/2010 \| harvard university \| 4 p.m \| None \| None row 25 : 1/22/2010 \| cornell university \| 3 p.m \| None \| None row 26 : 1/23/2010 \| cornell university \| 3 p.m \| None \| None row 27 : 1/29/2010 \| clarkson university \| 7 p.m \| None \| None row 28 : 1/30/2010 \| st. lawrence university \| 4 p.m \| None \| None row 29 : 2/5/2010 \| princeton university \| 7 p.m \| None \| None row 30 : 2/6/2010 \| quinnipiac university \| 4 p.m \| None \| None row 31 : 2/12/2010 \| yale university \| 7 p.m \| None \| None row 32 : 2/13/2010 \| brown university \| 4 p.m \| None \| None row 33 : 2/19/2010 \| union college \| 7 p.m \| 2-1 \| None row 34 : 2/20/2010 \| rensselaer \| 4 p.m \| None \| None ] Execute this SQL based on the above table: select date group by date order by count ( score ) desc limit 1	2/19/2010
[ header: year \| winner \| runner-up \| final score \| third row 1 : 1992 \| budivelnyk \| nki mykolaiv \| round-robin \| spartak lugansk row 2 : 1993 \| budivelnyk \| ska kyiv \| round-robin \| nki mykolaiv row 3 : 1994 \| budivelnyk \| kyiv-basket \| 3-0 \| bipa-moda odesa row 4 : 1995 \| budivelnyk \| kyiv-basket \| 3-0 \| shakhtar-asko donetsk row 5 : 1996 \| budivelnyk \| shakhtar donetsk \| round-robin \| kyiv-basket row 6 : 1997 \| budivelnyk \| bipa-moda odesa \| 3-2 \| kyiv-basket row 7 : 1998 \| bipa-moda odesa \| budivelnyk \| 3-0 \| sc mykolaiv row 8 : 1999 \| bipa-moda odesa \| cska-riko kyiv \| 3-2 \| budivelnyk row 9 : 2000 \| kyiv \| mbc odesa \| 3-2 \| cska-ukrtatna row 10 : 2001 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 11 : 2002 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 12 : 2003 \| azovmash \| mbc odesa \| 4-0 \| kyiv row 13 : 2004 \| azovmash \| kyiv \| 4-2 \| mbc odesa row 14 : 2005 \| kyiv \| azovmash \| 3-0 \| khimik row 15 : 2006 \| azovmash \| kyiv \| 3-1 \| khimik row 16 : 2007 \| azovmash \| kyiv \| 3-2 \| khimik row 17 : 2008 \| azovmash \| kyiv \| 3-1 \| khimik row 18 : 2009 \| azovmash \| donetsk \| 3-0 \| khimik row 19 : 2010 \| azovmash \| budivelnyk \| 3-2 \| ferro-zntu row 20 : 2011 \| budivelnyk \| donetsk \| 4-3 \| hoverla row 21 : 2012 \| donetsk \| azovmash \| 4-0 \| ferro-zntu row 22 : 2013 \| budivelnyk \| azovmash \| 4-3 \| ferro-zntu ] Execute this SQL based on the above table: select final score where year = 1993	round-robin
[ header: weapon name \| caliber (mm) \| range (max) \| warhead row 1 : m-8 \| 82 mm \| 5,900 m (6,500 yd \| 0.64 kg (1.4 lb) row 2 : m-13 \| 132 mm \| 8,740 m (9,560 \| 4.9 kg (11 lb) row 3 : m-13dd \| 132 mm \| 11,800 m (12,900 yd \| 4.9 kg (11 lb) row 4 : m-13uk \| 132 mm \| 7,900 m (8,600 yd \| 4.9 kg (11 lb) row 5 : m-20 \| 132 mm \| 5,050 m (5,520 y \| 18.4 kg (41 lb) row 6 : m-30 \| 300 mm \| 2,800 m (3,100 yd \| 28.9 kg (64 lb) row 7 : m-31 \| 300 mm \| 4,325 m (4,730 \| 28.9 kg (64 lb) row 8 : m-31uk \| 300 mm \| 4,000 m (4,400 yd \| 28.9 kg (64 lb) ] Execute this SQL based on the above table: select weapon name where id = 1	m-8
[ header: name \| pos. \| caps \| goals \| club row 1 : olle ahlund \| mf \| 6 \| 0 \| degerfors if row 2 : henry andersson \| gk \| 2 \| 0 \| ifk goteborg row 3 : bertil backvall \| fw \| 1 \| 0 \| hammarby if stockholm row 4 : henry "garvis" carls \| fw \| 5 \| 4 \| aik solna row 5 : arvid "emma" eman \| mf \| 5 \| 0 \| if elfsborg boras row 6 : rune "killing" emanu \| mf/df \| 3 \| 0 \| ifk goteborg row 7 : karl-erik grahn \| mf \| 4 \| 1 \| if elfsborg boras row 8 : gunnar "il professore" gren \| fw \| 6 \| 9 \| ifk goteborg row 9 : erik "mulle" holm \| fw \| 2 \| 1 \| ifk norrkoping row 10 : oskar "masse" hol \| df \| 2 \| 0 \| ifk norrkoping row 11 : ove karlsson-wid \| df \| 1 \| 0 \| aik solna row 12 : borje leander \| df/mf \| 4 \| 0 \| aik solna row 13 : gosta malm \| df \| 2 \| 0 \| ifk norrkoping row 14 : malte "svarta bli \| fw \| 1 \| 0 \| halsingborgs if row 15 : harry nilsson \| df \| 6 \| 0 \| aik solna row 16 : stellan nilsson \| fw \| 2 \| 1 \| malmo ff row 17 : bertil nordahl \| df/mf \| 2 \| 0 \| degerfors if row 18 : gunnar nordahl \| fw \| 5 \| 6 \| ifk norrkoping row 19 : knut nordahl \| fw \| 2 \| 0 \| ifk norrkoping row 20 : arne nyberg \| fw \| 6 \| 4 \| ifk goteborg row 21 : stig nystrom \| fw \| 1 \| 1 \| djurgardens if stockhol row 22 : vincent persson \| fw \| 1 \| 1 \| degerfors if row 23 : birger "bian" rosengren \| mf \| 1 \| 0 \| ifk norrkoping row 24 : carl-erik "pigge" \| fw \| 1 \| 0 \| malmo ff row 25 : carl "timpa" simons \| fw \| 1 \| 0 \| jonkopings sodra if row 26 : gustav "gurra" s \| gk \| 6 \| 0 \| aik solna row 27 : borje tapper \| fw \| 1 \| 5 \| malmo ff row 28 : lennart "skinnet" \| mf \| 1 \| 0 \| ifk norrkoping ] Execute this SQL based on the above table: select caps where caps = 1	1, 1, 1, 1, 1, 1, 1, 1, 1, 1
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select count ( year ) where track = 'pukekohe park raceway'	8
[ 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 order by tms. desc limit 1	round of 32
[ header: club \| nickname \| no. of premierships \| premiership years \| moved to row 1 : calleen (previously hiawath \| blues \| 0 \| none \| disbanded in 1932 row 2 : condobolin-milby \| kangaroos \| 3 \| 1966-67, 1990 \| disbanded in 2003 row 3 : four corners \| redlegs \| 13 \| 1928-29-30-31-32, 1937, 1949 \| disbanded in 1994 row 4 : kikoira \| None \| 2 \| 1940-41 \| disbanded row 5 : lake cargelligo \| swans \| 0 \| none \| amalgamated with lake cargelligo tig row 6 : parkes \| panthers \| 0 \| none \| central west afl in 2008 row 7 : tallimba \| hawks \| 0 \| none \| disbanded in 1987 row 8 : west milby \| None \| 1 \| 1936 \| disbanded row 9 : young \| saints \| 0 \| none \| central west afl ] Execute this SQL based on the above table: select nickname order by no. of premierships limit 80	blues, swans, panthers, hawks, saints, kangaroos, redlegs
[ header: lower mississippi periods \| lower yazoo phases \| lower yazoo dates \| tensas/natchez phases \| cahokia phases \| cahokia dates \| ohio/miss. river confluence phases \| ohio/miss. dates row 1 : historic \| russell \| 1650-1750 ce \| tensas / nat \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 2 : plaquemine mississippian culture late \| wasp lake \| 1400-1650 ce \| transylvania / emer \| vacant quarter \| 1350 ce - european contact \| jackson \| 1500-1650 ce row 3 : plaquemine mississippian culture late \| lake george \| 1300-1400 ce \| fitzhugh / foster \| sand prairie \| 1275-1350 ce \| medley phase \| 1300-1500 ce row 4 : plaquemine mississippian culture late \| winterville \| 1200-1300 ce \| routh / anna \| moorehead \| 1200-1275 ce \| dorena \| 1100-1300 ce row 5 : transitional coles creek \| crippen point \| 1050-1200 ce \| preston / gordon \| lohmann sterling \| 1050-1200 ce \| dorena \| 1100-1300 ce row 6 : coles creek culture late coles creek middle co \| kings crossing \| 950-1050 ce \| balmoral \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 7 : coles creek culture late coles creek middle co \| aden \| 800-950 ce \| ballina \| terminal late woodland \| 900-1050 ce \| james bayou \| 900-1100 ce row 8 : coles creek culture late coles creek middle co \| bayland \| 600-800 ce \| sundown \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 9 : baytown/troyville baytown 2 bay \| deasonville \| 500-600 ce \| marsden \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 10 : baytown/troyville baytown 2 bay \| little sunflower \| 400-500 ce \| indian bayou \| late woodland \| 400-900 ce \| cane hills berkley \| 600-900 ce 400-600 ce row 11 : marksville culture late marksville early marksville \| issaquena \| 200-400 ce \| issaquena \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 12 : marksville culture late marksville early marksville \| anderson landing \| 0-200 ce \| point lake/ grand gulf \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 13 : tchefuncte culture \| tuscola \| 400 bce-0 ce \| panther lake \| middle woodland \| 200 bce - 400 ce \| la plant burkett \| 100 bce-400 ce 550- row 14 : jaketown \| poverty point \| 700- 400 bce \| frasier \| early woodland \| 700-200 bce \| o'bryan ridge \| 700-550 bce row 15 : None \| poverty point \| 1000-700 bce \| None \| late archaic \| 1000 - 200 bce \| o'bryan ridge \| 700-550 bce ] Execute this SQL based on the above table: select count ( lower mississippi periods )	14
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| emerson fittipaldi \| mclaren-ford \| 53 \| 1:39:26.29 \| 5 \| 9 row 2 : 2 \| 24 \| james hunt \| hesketh-ford \| 53 \| + 5.91 \| 6 \| 6 row 3 : 3 \| 7 \| carlos reutemann \| brabham-ford \| 53 \| + 17.06 \| 3 \| 4 row 4 : 4 \| 11 \| clay regazzoni \| ferrari \| 53 \| + 35.79 \| 7 \| 3 row 5 : 5 \| 4 \| patrick depailler \| tyrrell-ford \| 53 \| + 54.25 \| 8 \| 2 row 6 : 6 \| 12 \| niki lauda \| ferrari \| 53 \| + 1:19.65 \| 4 \| 1 row 7 : 7 \| 28 \| mark donohue \| penske-ford \| 52 \| + 1 lap \| 16 \| None row 8 : 8 \| 6 \| jacky ickx \| lotus-ford \| 52 \| + 1 lap \| 18 \| None row 9 : 9 \| 9 \| vittorio brambilla \| march-ford \| 52 \| + 1 lap \| 12 \| None row 10 : 10 \| 22 \| graham hill \| lola-ford \| 52 \| + 1 lap \| 21 \| None row 11 : 11 \| 3 \| jody scheckter \| tyrrell-ford \| 52 \| + 1 lap \| 9 \| None row 12 : 12 \| 16 \| tom pryce \| shadow-ford \| 51 \| transmission \| 14 \| None row 13 : 13 \| 23 \| rolf stommelen \| lola-ford \| 51 \| + 2 laps \| 19 \| None row 14 : 14 \| 2 \| jochen mass \| mclaren-ford \| 50 \| + 3 laps \| 13 \| None row 15 : ret \| 8 \| carlos pace \| brabham-ford \| 46 \| engine \| 2 \| None row 16 : nc \| 20 \| arturo merzario \| williams-ford \| 44 \| not classified \| 20 \| None row 17 : ret \| 27 \| mario andretti \| parnelli-ford \| 27 \| transmission \| 10 \| None row 18 : ret \| 14 \| mike wilds \| brm \| 24 \| engine \| 22 \| None row 19 : ret \| 5 \| ronnie peterson \| lotus-ford \| 15 \| engine \| 11 \| None row 20 : ret \| 21 \| jacques laffite \| williams-ford \| 15 \| gearbox \| 17 \| None row 21 : ret \| 30 \| wilson fittipaldi \| fittipaldi-ford \| 12 \| accident \| 23 \| None row 22 : dsq \| 18 \| john watson \| surtees-ford \| 6 \| disqualified \| 15 \| None row 23 : dns \| 17 \| jean-pierre jarier \| shadow-ford \| 0 \| transmission \| 1 \| None ] Execute this SQL based on the above table: select grid where pos = 11	9.0
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select team where team in ( 'sd' , 'den' ) order by longest kickoff return desc limit 1	den
[ 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 # where pts = 47	47, 48, 49
[ header: player \| played \| legs won \| legs lost \| lwat \| 100+ \| 140+ \| 180s \| high checkout \| 3-dart average row 1 : phil taylor \| 5 \| 74 \| 20 \| 34 \| 130 \| 77 \| 44 \| 144 \| 105.73 row 2 : raymond van barneveld \| 3 \| 35 \| 30 \| 9 \| 85 \| 43 \| 17 \| 126 \| 98.10 row 3 : gary anderson \| 2 \| 17 \| 19 \| 4 \| 42 \| 28 \| 10 \| 151 \| 97.98 row 4 : kevin painter \| 2 \| 13 \| 16 \| 5 \| 32 \| 18 \| 8 \| 130 \| 96.71 row 5 : mervyn king \| 4 \| 45 \| 38 \| 16 \| 112 \| 66 \| 18 \| 147 \| 96.30 row 6 : co stompe \| 1 \| 7 \| 10 \| 2 \| 26 \| 9 \| 4 \| 127 \| 95.84 row 7 : james wade \| 3 \| 33 \| 26 \| 10 \| 75 \| 47 \| 12 \| 153 \| 95.73 row 8 : andy smith \| 1 \| 5 \| 10 \| 1 \| 19 \| 15 \| 1 \| 112 \| 95.29 row 9 : terry jenkins \| 5 \| 61 \| 58 \| 20 \| 157 \| 80 \| 26 \| 131 \| 94.08 row 10 : adrian lewis \| 3 \| 26 \| 28 \| 13 \| 63 \| 40 \| 13 \| 156 \| 93.69 row 11 : ronnie baxter \| 4 \| 54 \| 49 \| 18 \| 142 \| 49 \| 19 \| 132 \| 93.35 row 12 : alan tabern \| 2 \| 24 \| 21 \| 8 \| 66 \| 32 \| 7 \| 157 \| 92.68 row 13 : steve beaton \| 2 \| 18 \| 20 \| 8 \| 52 \| 23 \| 5 \| 110 \| 92.58 row 14 : vincent van der voort \| 3 \| 29 \| 28 \| 9 \| 71 \| 42 \| 13 \| 131 \| 92.57 row 15 : jelle klaasen \| 1 \| 8 \| 10 \| 2 \| 24 \| 4 \| 4 \| 71 \| 92.19 row 16 : mark walsh \| 2 \| 21 \| 18 \| 9 \| 49 \| 26 \| 9 \| 121 \| 92.02 row 17 : wes newton \| 1 \| 3 \| 10 \| 1 \| 16 \| 3 \| 5 \| 96 \| 91.92 row 18 : michael van gerwen \| 1 \| 3 \| 10 \| 0 \| 14 \| 6 \| 1 \| 126 \| 91.26 row 19 : andy hamilton \| 1 \| 6 \| 10 \| 2 \| 21 \| 7 \| 4 \| 120 \| 91.18 row 20 : denis ovens \| 2 \| 22 \| 19 \| 12 \| 64 \| 32 \| 5 \| 125 \| 90.63 row 21 : wayne jones \| 1 \| 7 \| 10 \| 4 \| 26 \| 12 \| 4 \| 121 \| 90.06 row 22 : peter wright \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 2 \| 96 \| 89.39 row 23 : colin osborne \| 1 \| 7 \| 10 \| 4 \| 18 \| 13 \| 2 \| 116 \| 89.18 row 24 : dennis priestley \| 1 \| 5 \| 10 \| 3 \| 22 \| 13 \| 2 \| 84 \| 89.06 row 25 : robert thornton \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 3 \| 56 \| 88.88 row 26 : mark dudbridge \| 1 \| 7 \| 10 \| 5 \| 17 \| 10 \| 3 \| 109 \| 88.28 row 27 : wayne mardle \| 2 \| 16 \| 14 \| 6 \| 36 \| 22 \| 4 \| 115 \| 87.27 row 28 : jamie caven \| 1 \| 3 \| 10 \| 0 \| 13 \| 6 \| 2 \| 120 \| 86.95 row 29 : john part \| 1 \| 6 \| 10 \| 2 \| 19 \| 5 \| 4 \| 76 \| 86.62 ] Execute this SQL based on the above table: select count ( player )	29
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select position order by id desc limit 1	rhp