Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: area served \| city of license \| vc \| rf \| callsign \| network \| notes row 1 : evansville \| evansville \| 7 \| 28 \| wtvw \| cw \| None row 2 : evansville \| evansville \| 9 \| 9 \| wnin \| pbs \| None row 3 : fort wayne \| fort wayne \| 21 \| 24 \| wpta \| abc \| cw on 21.2 row 4 : fort wayne \| fort wayne \| 33 \| 19 \| wise-tv \| nbc \| mnt on 33.2 row 5 : fort wayne \| fort wayne \| 39 \| 40 \| wfwa \| pbs \| None row 6 : fort wayne \| fort wayne \| 55 \| 36 \| wfft-tv \| fox \| None row 7 : gary \| gary \| 56 \| 17 \| wyin \| pbs \| None row 8 : indianapolis \| indianapolis \| 8 \| 9 \| wish-tv \| cbs \| None row 9 : indianapolis \| indianapolis \| 13 \| 13 \| wthr \| nbc \| None row 10 : indianapolis \| indianapolis \| 20 \| 21 \| wfyi \| pbs \| None row 11 : indianapolis \| marion \| 23 \| 32 \| wndy-tv \| mnt \| None row 12 : indianapolis \| bloomington \| 30 \| 14 \| wtiu \| pbs \| None row 13 : indianapolis \| indianapolis \| 40 \| 16 \| whmb-tv \| lesea \| None row 14 : indianapolis \| bloomington \| 42 \| 42 \| wclj-tv \| tbn \| None row 15 : indianapolis \| indianapolis \| 59 \| 45 \| wxin \| fox \| None row 16 : indianapolis \| bloomington \| 63 \| 27 \| wipx-tv \| ion \| None row 17 : indianapolis \| indianapolis \| 69 \| 44 \| wdti \| daystar \| None row 18 : kokomo \| kokomo \| 29 \| 29 \| wttk \| cw \| satellite of wttv ch. row 19 : muncie \| muncie \| 49 \| 23 \| wipb \| pbs \| None row 20 : south bend \| south bend \| 16 \| 42 \| wndu-tv \| nbc \| None row 21 : south bend \| south bend \| 22 \| 22 \| wsbt-tv \| cbs \| None row 22 : south bend \| elkhart \| 28 \| 28 \| wsjv \| fox \| None row 23 : south bend \| south bend \| 34 \| 35 \| wnit \| pbs \| None row 24 : south bend \| south bend \| 46 \| 48 \| whme-tv \| lesea \| None row 25 : terre haute \| terre haute \| 10 \| 10 \| wthi-tv \| cbs \| fox on 10.2 row 26 : terre haute \| terre haute \| 38 \| 39 \| wawv-tv \| abc \| None row 27 : vincennes \| vincennes \| 22 \| 22 \| wvut \| pbs \| None row 28 : ~chicago il \| gary \| 50 \| 51 \| wpwr-tv \| mnt \| None row 29 : ~chicago il \| hammond \| 62 \| 36 \| wjys \| ind \| None row 30 : ~louisville ky \| salem \| 58 \| 51 \| wmyo \| mnt \| None ] Execute this SQL based on the above table: select sum ( rf ) where notes in ( 'satellite of wttv ch. 4 indianapolis' , 'cw on 21.2' )	53.0
[ header: fin \| st \| driver \| car # \| make \| points \| bonus \| laps \| winnings row 1 : 1 \| 1 \| jeff gordon \| 24 \| chevrolet \| 195 \| 10 \| 192 \| $355,511 row 2 : 2 \| 8 \| jimmie johnson \| 48 \| chevrolet \| 175 \| 5 \| 192 \| $251,736 row 3 : 3 \| 26 \| kurt busch \| 2 \| dodge \| 170 \| 5 \| 192 \| $212,483 row 4 : 4 \| 2 \| david gilliland \| 38 \| ford \| 160 \| None \| 192 \| $182,689 row 5 : 5 \| 25 \| jamie mcmurray \| 26 \| ford \| 160 \| 5 \| 192 \| $134,675 row 6 : 7 \| 36 \| dale earnhardt jr \| 8 \| chevrolet \| 151 \| 5 \| 192 \| $149,233 row 7 : 8 \| 20 \| david stremme \| 40 \| dodge \| 147 \| 5 \| 192 \| $106,025 row 8 : 9 \| 28 \| ryan newman \| 12 \| dodge \| 138 \| None \| 192 \| $133,450 row 9 : 10 \| 37 \| martin truex jr \| 1 \| chevrolet \| 134 \| None \| 192 \| $126,495 row 10 : 11 \| 9 \| scott riggs \| 10 \| dodge \| 130 \| None \| 192 \| $107,050 row 11 : 12 \| 30 \| kasey kahne \| 9 \| dodge \| 132 \| 5 \| 192 \| $138,891 row 12 : 13 \| 34 \| jeff green \| 66 \| chevrolet \| 129 \| 5 \| 192 \| $120,933 row 13 : 14 \| 17 \| matt kenseth \| 17 \| ford \| 126 \| 5 \| 192 \| $137,641 row 14 : 17 \| 10 \| david ragan \| 6 \| ford \| 117 \| 5 \| 192 \| $127,100 row 15 : 19 \| 31 \| j.j. yeley \| 18 \| chevrolet \| 106 \| None \| 192 \| $116,033 row 16 : 20 \| 35 \| bobby labonte \| 43 \| dodge \| 103 \| None \| 192 \| $127,111 row 17 : 21 \| 3 \| denny hamlin \| 11 \| chevrolet \| 105 \| 5 \| 192 \| $102,550 row 18 : 23 \| 18 \| jeremy mayfield \| 36 \| toyota \| 94 \| None \| 192 \| $83,075 row 19 : 25 \| 29 \| reed sorenson \| 41 \| dodge \| 88 \| None \| 192 \| $101,947 row 20 : 27 \| 11 \| boris said \| 160 \| ford \| 87 \| 5 \| 191 \| $80,775 row 21 : 28 \| 32 \| tony stewart \| 20 \| chevrolet \| 84 \| 5 \| 190 \| $127,761 row 22 : 30 \| 21 \| johnny sauter \| 70 \| chevrolet \| 73 \| None \| 190 \| $79,325 row 23 : 32 \| 14 \| david reutimann \| 0 \| toyota \| 67 \| None \| 184 \| $78,525 row 24 : 34 \| 42 \| jeff burton \| 31 \| chevrolet \| 66 \| 5 \| 151 \| $118,266 row 25 : 37 \| 13 \| kyle busch \| 5 \| chevrolet \| 52 \| None \| 130 \| $95,800 row 26 : 38 \| 33 \| joe nemechek \| 13 \| chevrolet \| 49 \| None \| 130 \| $77,450 row 27 : 39 \| 7 \| casey mears \| 25 \| chevrolet \| 51 \| 5 \| 124 \| $85,250 row 28 : 40 \| 43 \| dale jarrett \| 44 \| toyota \| 43 \| None \| 38 \| $77,000 ] Execute this SQL based on the above table: select count ( make ) where driver = '23'	0
[ header: game \| date \| opponent \| venue \| result \| attendance \| goalscorers row 1 : 1 \| 19 august 1978 \| hereford united \| away \| 0-0 \| 5674 \| None row 2 : 3 \| 26 august 1978 \| reading \| away \| 0-2 \| 4788 \| None row 3 : 5 \| 9 september 1978 \| wimbledon \| away \| 1-2 \| 3217 \| corrigan row 4 : 6 \| 13 september 1978 \| rochdale \| home \| 3-0 \| 5746 \| wright, corrigan, hinn row 5 : 8 \| 23 september 1978 \| york city \| away \| 1-0 \| 3307 \| gore row 6 : 10 \| 30 september 1978 \| scunthorpe united \| home \| 1-0 \| 4459 \| brownbill row 7 : 12 \| 14 october 1978 \| doncaster rovers \| home \| 1-0 \| 5788 \| ward row 8 : 13 \| 18 october 1978 \| halifax town \| home \| 1-0 \| 5216 \| hinnigan row 9 : 14 \| 21 october 1978 \| barnsley \| away \| 0-0 \| 9841 \| None row 10 : 16 \| 3 november 1978 \| stockport county \| away \| 1-0 \| 8357 \| hinnigan row 11 : 20 \| 16 december 1978 \| halifax town \| away \| 2-1 \| 2437 \| moore, purdie row 12 : 21 \| 26 december 1978 \| crewe alexandra \| home \| 1-0 \| 7586 \| houghton row 13 : 22 \| 30 december 1978 \| aldershot \| home \| 3-2 \| 7289 \| moore, houghton (2) row 14 : 23 \| 9 january 1979 \| port vale \| away \| 1-2 \| 3744 \| wright (pen.) row 15 : 24 \| 3 february 1979 \| portsmouth \| home \| 2-0 \| 8289 \| wright, corrigan row 16 : 25 \| 14 february 1979 \| wimbledon \| home \| 1-2 \| 6704 \| purdie (pen.) row 17 : 26 \| 17 february 1979 \| huddersfield town \| home \| 2-1 \| 7420 \| ward (2) row 18 : 27 \| 24 february 1979 \| doncaster rovers \| away \| 1-0 \| 4612 \| wright row 19 : 28 \| 28 february 1979 \| york city \| home \| 1-1 \| 5896 \| houghton row 20 : 29 \| 3 march 1979 \| barnsley \| home \| 1-1 \| 9427 \| wright row 21 : 30 \| 10 march 1979 \| northampton town \| away \| 4-2 \| 2275 \| brownbill (2), purdie, corrig row 22 : 32 \| 17 march 1979 \| stockport county \| home \| 2-0 \| 7610 \| wright, smart row 23 : 33 \| 19 march 1979 \| rochdale \| away \| 2-0 \| 3621 \| purdie, moore row 24 : 34 \| 24 march 1979 \| grimsby town \| away \| 1-3 \| 8252 \| wigginton (o.g.) row 25 : 36 \| 31 march 1979 \| bournemouth \| home \| 1-0 \| 5527 \| houghton row 26 : 37 \| 3 april 1979 \| hartlepool united \| away \| 1-1 \| 2081 \| houghton row 27 : 41 \| 16 april 1979 \| hartlepool united \| home \| 2-2 \| 8217 \| wright, purdie row 28 : 42 \| 21 april 1979 \| aldershot \| away \| 0-1 \| 5466 \| None row 29 : 43 \| 28 april 1979 \| darlington \| home \| 2-2 \| 6153 \| moore, brownbill row 30 : 44 \| 1 may 1979 \| scunthorpe united \| away \| 1-0 \| 1582 \| gore row 31 : 45 \| 5 may 1979 \| bournemouth \| away \| 1-2 \| 3063 \| purdie row 32 : 46 \| 7 may 1979 \| bradford city \| away \| 1-1 \| 3748 \| moore ] Execute this SQL based on the above table: select venue where venue in ( 'away' , 'home' ) and result = '1-1'	home, home, away, away
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select max ( rank )	20.0
[ header: name \| founded \| defunct \| country \| publisher \| topics \| external link row 1 : amiga active \| 1999 \| 2001 \| united kingdom \| pinprint publishing \| amiga magazine with cu amiga staff \| None row 2 : amiga power \| 1991 \| 1996 \| united kingdom \| future publishing \| amiga games magazine \| None row 3 : amiga user international \| 1988 \| 1997 \| europe \| aui limited \| amiga magazine later published by aui limited \| None row 4 : atari age \| 1982 \| 1984 \| united states \| None \| atari related topics \| None row 5 : atari st user \| 1987 \| 1994 \| united kingdom \| database publications ltd.(later \| atari st magazine with hardware focus; \| None row 6 : bgamer \| 1998 \| None \| portugal \| goody, sa \| general video gaming, hardware \| http://www.bgamer.pt row 7 : commodore force \| 1993 \| 1994 \| united kingdom \| europress impact \| commodore 64 games; originally named \| None row 8 : computer and video games \| 1981 \| 2004 \| united kingdom \| future publishing \| home computing, arcade games, video games \| http://computerandvideogames.com row 9 : computing with the amstrad \| 1985 \| 1988 \| united kingdom, australia \| database publications \| computing with the amstrad or cw \| None row 10 : electronic fun with computers & games \| 1982 \| 1984 \| united states \| fun & games publishing inc \| video, computer and arcade games \| None row 11 : expert gamer \| 1998 \| 2001 \| united states \| None \| the bulk of xg's content was \| None row 12 : gamepro \| 1989 \| 2011 \| united states \| None \| general video gaming \| http://www.gamepro.com row 13 : meeveo \| 2013 \| None \| germany \| None \| news and information about games and hardware \| http://www.meeveo.e row 14 : nintendo la rivista \| 2002 \| None \| italy \| None \| italian nintendo related topics \| None row 15 : nintendo power \| 1988 \| 2012 \| united states \| None \| None \| http://www.nintendopower. row 16 : official dreamcast magazine (uk) \| 1999 \| 2001 \| united kingdom \| None \| uk dreamcast related topics \| None row 17 : pc games \| 1992 \| None \| germany \| None \| pc games \| http://www.pcgames.de row 18 : pelit \| 1992 \| None \| finland \| None \| the oldest and most popular videogame magazine of \| http://www.pelit.fi row 19 : pnm (pure ninte \| 2011 \| None \| united states \| magcloud/pure media llc \| all things nintendo related \| http://purenintendo.com/ row 20 : skoar! \| 2003 \| None \| india \| jasubhai digital media pvt \| an indian game magazine \| http://skoar.thinkdigit.com/ row 21 : thirteen1 \| 2008 \| None \| united kingdom \| t1 publishing ltd \| a free online-based game magazine \| http://www.thirteen1.com/ row 22 : your sinclair \| 1986 \| 1993 \| united kingdom \| future publishing \| sinclair spectrum \| http://www.ysrnry. row 23 : your spectrum \| 1984 \| 1985 \| united kingdom \| sportscene specialist press \| sinclair spectrum \| http://www.users.globalnet ] Execute this SQL based on the above table: select avg ( founded )	1993.5217391304348
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select pos order by laps desc limit 1	1
[ header: year \| single \| peak chart positions fin \| peak chart positions nor \| peak chart positions swe \| album row 1 : 1994 \| "together" \| None \| None \| None \| finally row 2 : 1994 \| "in your dreams" \| None \| None \| None \| finally row 3 : 1995 \| "mirror, mirror" \| None \| 6 \| None \| finally row 4 : 1995 \| "stars in the night" \| None \| None \| None \| finally row 5 : 1996 \| "you never know" \| 12 \| 4 \| None \| finally row 6 : 1996 \| "let it all be sunshine" \| 13 \| None \| None \| finally row 7 : 1997 \| "all my life" \| None \| None \| None \| finally row 8 : 1997 \| "fly to be free" \| None \| None \| None \| finally row 9 : 1998 \| "come'n get me" \| 6 \| None \| None \| the take off row 10 : 1998 \| "sunny holiday" \| None \| None \| None \| the take off row 11 : 1999 \| "ticket to fly" \| None \| None \| 48 \| the take off row 12 : 1999 \| "once you pop (you can't stop \| None \| None \| None \| express row 13 : 1999 \| "this is how we do it" \| None \| None \| None \| express row 14 : 2000 \| "push it" \| None \| None \| 53 \| express row 15 : 2000 \| "sha la long" \| None \| None \| None \| express row 16 : 2000 \| "come on everybody" \| None \| None \| None \| express row 17 : 2001 \| "i like it" \| None \| None \| None \| in action ] Execute this SQL based on the above table: select single where single = '"you never know"'	"you never know"
[ header: outcome \| edition \| round \| opponent team \| surface \| opponent \| score row 1 : loser \| 2010 \| world group playoffs \| slovakia \| clay (i) \| daniela hantuchova \| 6-2, 6-2 row 2 : winner \| 2010 \| world group playoffs \| slovakia \| clay (i) \| magdalena rybarikova \| 6-1, 7-6(7-4) row 3 : winner \| 2011 \| world group ii \| canada \| hard (i) \| aleksandra wozniak \| 6-4, 7-5 row 4 : winner \| 2011 \| world group ii \| canada \| hard (i) \| rebecca marino \| 7-6(7-3), 6-3 row 5 : loser \| 2011 \| world group playoffs \| slovakia \| clay (i) \| dominika cibulkova \| 6-4, 3-6, 1-6 row 6 : loser \| 2012 \| world group \| belgium \| hard (i) \| yanina wickmayer \| 4-6, 4-6 row 7 : winner \| 2012 \| world group \| belgium \| hard (i) \| kirsten flipkens \| 6-2, 6-4 ] Execute this SQL based on the above table: select score group by score order by count ( * ) desc limit 1	7-6(7-3), 6-3
[ header: representative \| state \| district(s) \| served \| party \| date of birth \| date of death \| age row 1 : william r. poage \| texas \| 11 \| 1937-1978 \| democratic \| december 29, 1899 \| january 3, 1987 \| 87 years, 5 days row 2 : aubert c. dunn \| mississippi \| 5 \| 1935-1937 \| democratic \| november 20, 1896 \| january 4, 1987 \| 90 years, 45 days row 3 : charles goodell \| new york \| 43, 38 \| 1959-1968 \| republican \| march 16, 1926 \| january 21, 1987 \| 60 years, 311 days row 4 : sala burton \| california \| 5 \| 1983-1987 \| democratic \| april 1, 1925 \| february 1, 1987 \| 61 years, 306 days row 5 : tim l. carter \| kentucky \| 5 \| 1965-1981 \| republican \| september 2, 1910 \| march 27, 1987 \| 76 years, 206 days row 6 : james g. donovan \| new york \| 18 \| 1951-1957 \| democratic \| december 15, 1898 \| april 6, 1987 \| 88 years, 112 days row 7 : edith green \| oregon \| 3 \| 1955-1974 \| democratic \| january 17, 1910 \| april 21, 1987 \| 77 years, 94 days row 8 : stewart mckinney \| connecticut \| 4 \| 1971-1987 \| republican \| january 30, 1931 \| may 7, 1987 \| 56 years, 97 days row 9 : james j. delaney \| new york \| 6, 7, 9 \| 1945-1947, 1949-1978 \| democratic \| march 19, 1901 \| may 24, 1987 \| 86 years, 66 days row 10 : frank carlson \| kansas \| 6 \| 1935-1947 \| republican \| january 23, 1893 \| may 30, 1987 \| 94 years, 127 days row 11 : alvin o'konski \| wisconsin \| 10 \| 1943-1973 \| republican \| may 26, 1904 \| july 8, 1987 \| 83 years, 43 days row 12 : dominick v. daniels \| new jersey \| 14 \| 1959-1977 \| democratic \| october 18, 1908 \| july 17, 1987 \| 78 years, 272 days row 13 : harold r. gross \| iowa \| 6 \| 1949-1975 \| republican \| june 30, 1899 \| september 22, 1987 \| 88 years, 84 days row 14 : john n. camp \| oklahoma \| 6 \| 1969-1975 \| republican \| may 11, 1908 \| september 27, 1987 \| 79 years, 139 days row 15 : ray j. madden \| indiana \| 1 \| 1943-1977 \| democratic \| february 25, 1892 \| september 28, 1987 \| 95 years, 215 days row 16 : raymond w. karst \| missouri \| 12 \| 1949-1951 \| democratic \| december 31, 1902 \| october 4, 1987 \| 84 years, 277 days row 17 : charles j. carney \| ohio \| 19 \| 1970-1979 \| republican \| april 17, 1913 \| october 7, 1987 \| 74 years, 173 days row 18 : clare boothe luce \| connecticut \| 4 \| 1943-1947 \| republican \| march 10, 1903 \| october 9, 1987 \| 84 years, 213 days row 19 : harold washington \| illinois \| 1 \| 1981-1983 \| democratic \| april 15, 1922 \| november 25, 1987 \| 65 years, 224 days row 20 : abraham kazen \| texas \| 23 \| 1967-1985 \| democratic \| january 17, 1919 \| november 29, 1987 \| 68 years, 316 days row 21 : albert p. morano \| connecticut \| 4 \| 1951-1959 \| republican \| january 18, 1908 \| december 16, 1987 \| 79 years, 332 days ] Execute this SQL based on the above table: select state where age = ( select age where state = 'california' ) - 1	new york
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select position where year = ( select year where position = '5th' ) + 1	9th (sf), 8th (sf)
[ header: year \| title \| peak chart positions ger \| label \| artist row 1 : 1981 \| savoir faire \| None \| capitol \| mink deville row 2 : 1993 \| spanish stroll 1977-1987 \| None \| disky, raven \| mink deville row 3 : 1995 \| les inoubliables de willy deville \| None \| wagram \| willy deville row 4 : 1996 \| love & emotion: the atlantic years \| 54 \| atlantic \| mink deville row 5 : 1996 \| mink/willy deville greatest hits \| None \| emi \| mink deville row 6 : 1996 \| spanish stroll \| None \| disky \| mink deville row 7 : 1996 \| best of willy deville \| None \| arcade \| willy deville row 8 : 1997 \| his greatest hits \| None \| arcade \| mink deville row 9 : 1997 \| premium gold collection \| None \| emi \| mink deville row 10 : 1997 \| the best of mink deville \| None \| emi \| mink deville row 11 : 1999 \| collection legende \| None \| wagram \| willy deville row 12 : 2001 \| cadillac walk: the mink de \| None \| capitol \| mink deville row 13 : 2003 \| greatest hits \| None \| emi \| mink deville row 14 : 2005 \| mink deville \| None \| disky \| mink deville row 15 : 2009 \| introducing willy deville \| None \| edel \| willy deville ] Execute this SQL based on the above table: select count ( artist ) where year = 1997	3
[ header: season \| level \| division \| section \| position \| movements row 1 : 1999 \| tier 5 \| division 4 \| gotland \| 6th \| varserier (spring series) row 2 : None \| tier 5 \| division 4 \| gotland \| 5th \| hostserier (autumn series) row 3 : 2000 \| tier 5 \| division 4 \| gotland \| 2nd \| varserier (spring series) row 4 : None \| tier 5 \| division 4 \| uppland/gotland host \| 10th \| hostserier (autumn series) row 5 : 2001 \| tier 5 \| division 4 \| gotland \| 4th \| varserier (spring series) row 6 : None \| tier 5 \| division 4 \| gotland \| 4th \| slutspel a ( row 7 : 2002 \| tier 5 \| division 4 \| gotland \| 3rd \| promotion playoffs row 8 : 2003 \| tier 5 \| division 4 \| gotland \| 6th \| None row 9 : 2004 \| tier 5 \| division 4 \| gotland \| 4th \| None row 10 : 2005 \| tier 5 \| division 4 \| gotland \| 1st \| None row 11 : 2006 \| tier 5 \| division 3 \| ostra svealand \| 12th \| relegated row 12 : 2007 \| tier 6 \| division 4 \| gotland \| 2nd \| None row 13 : 2008 \| tier 6 \| division 4 \| gotland \| 3rd \| None row 14 : 2009 \| tier 6 \| division 4 \| gotland \| 7th \| None row 15 : 2010 \| tier 6 \| division 4 \| gotland \| 2nd \| None row 16 : 2011 \| tier 6 \| division 4 \| gotland \| 4th \| None ] Execute this SQL based on the above table: select count ( movements ) where movements = 'None'	0
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : win \| 12-3 \| mike hayes \| ko (punch) \| ksw 25: khali \| december 7, 2013 \| 1 \| 1:12 \| wrocław, poland \| None row 2 : win \| 11-3 \| nick moghadden \| tko (punches) \| bellator 99 \| september 13, 2013 \| 1 \| 3:22 \| temecula, california \| bellator debut row 3 : loss \| 10-3 \| guto inocente \| decision (unanimous) \| strikeforce: barnett vs. cor \| may 19, 2012 \| 3 \| 5:00 \| san jose, californ \| light heavyweight debut row 4 : win \| 10-2 \| brett albee \| tko (strikes) \| strikeforce: diaz vs. \| april 9, 2011 \| 1 \| 1:46 \| san diego, californ \| None row 5 : loss \| 9-2 \| lavar johnson \| ko (punches) \| strikeforce challengers: bowling v \| october 22, 2010 \| 1 \| 2:17 \| fresno, californ \| None row 6 : win \| 9-1 \| eddie sapp \| submission (rear-naked choke) \| native fighting championship 6 \| august 14, 2010 \| 1 \| 2:01 \| campo, california, \| None row 7 : loss \| 8-1 \| cody goodale \| decision (unanimous) \| gladiator challenge: maximum force \| april 25, 2010 \| 3 \| 5:00 \| san jacinto, cali \| None row 8 : win \| 8-0 \| ovince st. preux \| tko (punches) \| top combat championship 1 \| september 26, 2009 \| 2 \| 0:46 \| san juan, puerto \| None row 9 : win \| 7-0 \| william richey \| decision (unanimous) \| called out mma 1 \| august 15, 2009 \| 3 \| 5:00 \| ontario, california \| None row 10 : win \| 6-0 \| buckley acosta \| tko (punches) \| gladiator challenge: venom \| april 23, 2009 \| 1 \| 2:59 \| pauma valley, californi \| None row 11 : win \| 5-0 \| dave diaz \| submission \| gc 85: cross fire \| october 25, 2008 \| 1 \| 1:41 \| san diego, californ \| None row 12 : win \| 4-0 \| abraham ramirez \| tko (punches) \| apocalypse fights \| august 7, 2008 \| 1 \| None \| None \| None row 13 : win \| 3-0 \| ty montgomery \| tko (punches) \| galaxy productions \| august 24, 2007 \| 1 \| 0:41 \| california, united states \| None row 14 : win \| 2-0 \| tom hubert \| tko (doctor stoppage \| total combat 10 \| october 15, 2005 \| 2 \| 1:54 \| san diego, californ \| None row 15 : win \| 1-0 \| denis hall \| tko (punches) \| cff: cobra classic 9 \| april 16, 2003 \| 1 \| 0:58 \| anza, california, \| None ] Execute this SQL based on the above table: select date group by date order by count ( round ) limit 1	5
[ header: \| year \| city \| country \| date \| venue \| no. of events \| no. of athletes row 1 : 1st \| 2000 \| monterrey \| mexico \| august 3-5 \| universidad autonoma de nuevo \| 45 \| 184 row 2 : 2nd \| 2002 \| san antonio \| united states \| august 9-11 \| e.m. stevens stadium \| 45 \| 245 row 3 : 3rd \| 2004 \| sherbrooke \| canada \| july 30 - august 1 \| universite de sherbrooke stadium \| 42 \| 243 row 4 : 4th \| 2006 \| santo domingo \| dominican republic \| july 7-9 \| estadio felix san \| 44 \| 373 row 5 : 5th \| 2008 \| toluca \| mexico \| july 18-20 \| estadio universitario alber \| 44 \| None row 6 : 6th \| 2010 \| miramar \| united states \| july 9-11 \| ansin sports complex \| 44 \| None row 7 : 7th \| 2012 \| irapuato \| mexico \| july 6-8 \| centro paralimpico nacional \| 44 \| None row 8 : 8th \| 2014 \| kamloops \| canada \| august 8-10 \| hillside stadium \| None \| None ] Execute this SQL based on the above table: select where != '3rd' and country = ( select country where = '3rd' )	8th
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 4 \| may 21, 1978 \| coca-cola classic \| -3 (69-71-70=210 \| playoff \| joanne carner row 2 : 8 \| aug 6, 1978 \| colgate european open \| -7 (73-71-72-73 \| 3 strokes \| joanne carner, mary d row 3 : 9 \| nov 12, 1978 \| colgate far east open \| e (75-69-72=216 \| 2 strokes \| silvia bertolaccini, row 4 : 11 \| mar 25, 1979 \| sahara national pro-am \| -16 (72-67-66-69 \| 2 strokes \| donna caponi row 5 : 17 \| sep 30, 1979 \| mary kay classic \| -14 (71-66-67-70 \| 2 strokes \| sandra post row 6 : 18 \| mar 30, 1980 \| women's kemper open \| e (72-66-77-69 \| 2 strokes \| debbie massey, jo an row 7 : 19 \| jun 29, 1980 \| the sarah coventry \| -9 (73-67-72-71 \| 1 stroke \| pat bradley row 8 : 20 \| sep 1, 1980 \| rail charity golf classic \| -13 (65-71-71-68 \| 1 stroke \| joanne carner row 9 : 21 \| mar 8, 1981 \| arizona copper classic \| -14 (70-72-68-68 \| 4 strokes \| pat bradley row 10 : 22 \| apr 5, 1981 \| colgate-dinah shore \| -11 (71-73-69-64 \| 2 strokes \| carolyn hill row 11 : 28 \| mar 4, 1984 \| uniden lpga invitational \| e (70-74-66-74=28 \| 3 strokes \| pat bradley row 12 : 29 \| aug 19, 1984 \| chevrolet world championship of women' \| -7 (69-74-65-73=28 \| 1 stroke \| joanne carner row 13 : 30 \| may 19, 1985 \| chrysler-plymouth classic \| -9 (69-69-72=210 \| 3 strokes \| pat bradley row 14 : 32 \| jul 7, 1985 \| mazda hall of fame championship \| -7 (71-70-72-68 \| 3 strokes \| joanne carner, allison fin row 15 : 36 \| sep 13, 1987 \| cellular one-ping golf championship \| -6 (72-67-71=210 \| 1 stroke \| kelly leadbetter, muffin s row 16 : 39 \| may 15, 1988 \| chrysler-plymouth classic \| -12 (68-70-66=204 \| 8 strokes \| jan stephenson row 17 : 42 \| sep 24, 1989 \| nippon travel-mbs classic \| -11 (73-69-65-70 \| 2 strokes \| alice ritzman, pamela row 18 : 43 \| sep 23, 1990 \| mbs lpga classic \| -7 (69-70-74-68 \| playoff \| cathy gerring row 19 : 44 \| may 5, 1991 \| sara lee classic \| -10 (65-70-71=206) \| 2 strokes \| kris monaghan row 20 : 47 \| jul 11, 1993 \| youngstown-warren lpg \| -13 (68-68-67=203 \| playoff \| deb richard ] Execute this SQL based on the above table: select runner(s)-up where id = 39	jan stephenson
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents \| score row 1 : winner \| 1 \| april 18, 2004 \| jackson, united states \| clay \| alisa kleybanova \| cory ann avants kristen \| 6-2, 6-3 row 2 : runner-up \| 1 \| september 26, 2004 \| albuquerque, united states \| hard \| maria emilia salern \| maureen drake carly gul \| 3-6, 6-7(6-8) row 3 : winner \| 2 \| march 27, 2005 \| redding, united states \| hard \| yulia beygelzimer \| leanne baker francesca lub \| 6-4, 6-7(1-7), row 4 : runner-up \| 2 \| may 8, 2005 \| raleigh, united states \| clay \| maria fernanda alves \| ashley harkleroad lindsay \| 2-6, 6-0, 3-6 row 5 : runner-up \| 3 \| march 19, 2006 \| orange, united states \| hard \| lilia osterloh \| kateryna bondarenko alon \| 2-6, 4-6 row 6 : winner \| 3 \| november 12, 2006 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| ashley harkleroad galina \| 6-4, 5-7, 6-1 row 7 : runner-up \| 4 \| february 11, 2007 \| midland, united states \| hard (i) \| maureen drake \| laura granville abigail spears \| 4-6, 6-3, 3-6 row 8 : runner-up \| 5 \| july 7, 2007 \| southlake, united states \| hard \| valerie tetreault \| surina de beer kim grant \| 6-4, 4-6, 4-6 row 9 : winner \| 4 \| july 22, 2007 \| hamilton, canada \| clay \| surina de beer \| michaela johansson pa \| walkover row 10 : winner \| 5 \| august 4, 2007 \| vancouver, canada \| hard \| marie-eve pelletier \| soledad esperon agustin \| 6-4, 6-4 row 11 : winner \| 6 \| october 21, 2007 \| lawrenceville, united states \| hard \| alisa kleybanova \| leanne baker julie ditty \| 6-2, 6-0 row 12 : winner \| 7 \| november 12, 2007 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| raquel kops-jones \| 6-4, 4-6, [10-6] row 13 : runner-up \| 6 \| april 27, 2008 \| dothan, united states \| clay \| maria fernanda alves \| tetiana luzhan \| 1-6, 3-6 row 14 : winner \| 8 \| october 18, 2008 \| toronto, canada \| hard (i) \| marie-eve pelletier \| nikola frankova carmen \| 6-4, 6-2 row 15 : runner-up \| 7 \| september 27, 2009 \| saguenay, canada \| hard (i) \| rebecca marino \| sofia arvidsson s \| 3-6, 1-6 row 16 : runner-up \| 8 \| april 13, 2013 \| poza rica, mexico \| hard \| olga savch \| maria fernanda alvarez \| 2-6, 3-6 ] Execute this SQL based on the above table: select no. where outcome = 'runner-up'	1, 2, 3, 4, 5, 6, 7, 8
[ header: year \| title \| role \| notes row 1 : 1991 \| they came from outer space \| mrs. morley \| episode: "hair today, gone tomorrow" row 2 : 1991 \| parker lewis can't lose \| melinda \| episode: "love handles" row 3 : 1991 \| married... with children \| jill \| episode: "if al had a ham row 4 : 1992 \| married... with children \| kara \| episode: "the mystery of skull island" row 5 : 1992 \| matlock \| lisa loomis \| episode: "the big payoff" row 6 : 1992 \| silk stalkings \| tessa shaver \| episode: "goodtime charlie" row 7 : 1992 \| dark justice \| lucy \| episode: "a better mousetrap" row 8 : 1992 \| baywatch \| lifeguard \| episode: "war of nerves" row 9 : 1993 \| the cover girl murders \| hetty barnett \| movie row 10 : 1994 \| red shoe diaries \| luscious lola \| episode: "luscious lola" row 11 : 1994 \| honor thy father and mother: the true \| jamie pisarcik \| movie row 12 : 1994 \| fortune hunter \| kelly owen \| episode: "stowaway" row 13 : 1994 \| baywatch \| kim \| episode: "red wind" row 14 : 1995 \| pointman \| brenner \| episode: "models" row 15 : 1995 \| the watcher \| lori danforth \| 8 episodes row 16 : 1995-96 \| murder one \| julie costello \| 15 episodes row 17 : 1996 \| the x-files \| dr. bambi berenbaum \| episode: "war of the coprophages row 18 : 1996 \| boy meets world \| louanne \| episode: "i never sang for my legal guard row 19 : 1996-97 \| the cape \| navy pilot lt. cmdr. \| 17 episodes row 20 : 1997 \| stargate sg-1 \| kynthia \| episode: "brief candle" row 21 : 1998 \| house rules \| dr. chris cavan \| episode: "riley's new job" row 22 : 1998 \| chameleon \| kam \| movie row 23 : 1998 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 24 : 1999 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 25 : 1999 \| chameleon ii: death match \| kam \| movie row 26 : 1999 \| the magnificent seven \| None \| episode: "wagon train: part 1" row 27 : 1999 \| the crow: stairway to heaven \| hannah foster / talon \| episode: "birds of a feather" row 28 : 1999 \| the strip \| lilly briscoe \| episode: "winner takes it all" row 29 : 2000 \| two guys and a girl \| shawn \| episode: "another moving script" row 30 : 2000 \| hustle \| maya / corinna \| m<vie row 31 : 2000 \| chameleon 3: dark angel \| kam \| movie row 32 : 2001 \| seven days \| raven \| episode: "raven" row 33 : 2001 \| dharma & greg \| anna \| episode: "dream a little dream of her ] Execute this SQL based on the above table: select ( select count ( * ) where role > title and year = 1999 ) > 1095	0
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| sebastien loeb \| daniel elena \| citroen c4 wr \| 3:59:18.9 \| 0 \| 10 row 2 : 2 \| dani sordo \| marc marti \| citroen c4 wr \| 3:59;36.4 \| 17.5 \| 8 row 3 : 3 \| mikko hirvonen \| jarmo lehtinen \| ford focus rs wrc \| 4:00:00.4 \| 41.5 \| 6 row 4 : 4 \| petter solberg \| phil mills \| subaru impreza wrc \| 4:02:07.8 \| 2:48.9 \| 5 row 5 : 5 \| urmo aava \| kuldar sikk \| citroen c4 wr \| 4:02:49.6 \| 3:30.7 \| 4 row 6 : 6 \| pg andersson \| jonas andersson \| suzuki sx4 wr \| 4:06:56.3 \| 7:37.4 \| 3 row 7 : 7 \| toni gardemeister \| tomi tuominen \| suzuki sx4 wr \| 4:07:13.8 \| 7:54.9 \| 2 row 8 : 8 \| federico villagra \| jorge perez companc \| ford focus rs wrc \| 4:07:53.9 \| 8:35.0 \| 1 row 9 : 1. (10.) \| martin prokop \| jan tomanek \| mitsubishi lancer evo ix \| 4:13:07.9 \| 0 \| 10 row 10 : 2. (11.) \| patrik sandell \| emil axelsson \| mitsubishi lancer evo ix \| 4:13:44.1 \| 36.2 \| 8 row 11 : 3. (12.) \| martin rauam \| silver kutt \| mitsubishi lancer evo ix \| 4:14:05.7 \| 57.8 \| 6 ] Execute this SQL based on the above table: select driver order by id desc limit 1	martin rauam
[ header: year \| men \| sport \| women \| sport \| team \| sport \| promising talent \| sport \| paralympic \| sport \| coach \| sport row 1 : 2009 \| philippe gilbert \| cycling \| kim clijsters (6) \| tennis \| men's 4×400 metres relay \| athletics \| romelu lukaku \| football \| None \| None \| None \| None row 2 : 2008 \| sven nys \| cyclo-cross \| tia hellebaut \| athletics \| women's 4×100 metres relay (3) \| athletics \| elise matthysen \| swimming \| None \| None \| None \| None row 3 : 2006 \| stefan everts (5) \| motorcross \| justine henin-hardenne (3) \| tennis \| belgium fed cup team (2) \| tennis \| yoris grandjean \| swimming \| None \| None \| None \| None row 4 : 2000 \| joel smets \| motorcross \| kim clijsters (2) \| tennis \| rsc anderlecht \| football \| bart aernouts \| cyclo-cross \| None \| None \| None \| None row 5 : 1997 \| luc van lierde \| triathlon \| gella vandecaveye (2) \| judo \| noliko maaseik \| volleyball \| None \| None \| None \| None \| None \| None row 6 : 1996 \| fred deburghgraeve (2) \| swimming \| ulla werbrouck \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 7 : 1992 \| georges jobe (2) \| motorcross \| annelies bredael \| rowing \| None \| None \| None \| None \| None \| None \| None \| None row 8 : 1989 \| thierry boutsen \| motorsport \| ingrid berghmans (8) \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 9 : 1987 \| georges jobe \| motorcross \| ingrid lempereur \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 10 : 1985 \| gaston rahier vincent rous \| motorcross athletics \| ingrid berghmans (5) \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 1983 \| eddy annys \| athletics \| ingrid berghmans (3) \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 12 : 1981 \| freddy maertens \| cycling \| annie lambrechts \| roller skating \| None \| None \| None \| None \| None \| None \| None \| None row 13 : 1979 \| robert van de walle \| judo \| carine verbauwen (3) \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 14 : 1978 \| raymond ceulemans \| billiards \| carine verbauwen (2) \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 15 : 1977 \| michel pollentier \| cycling \| anne-marie pira (2) \| athletics \| None \| None \| None \| None \| None \| None \| None \| None row 16 : 1975 \| bruno brokken \| athletics \| carine verbauwen \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 17 : 1973 \| eddy merckx (5) \| cycling \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 18 : 1971 \| eddy merckx (3) \| cycling \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select sport where year >= 5	football, swimming, swimming, cyclo-cross
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1972 \| stockholm, sweden \| hard (i) \| roy emerson \| tom okker marty ries \| 5-7, 6-7 row 2 : runner-up \| 2 \| 1973 \| miami wct, us \| hard \| terry addison \| roy emerson rod laver \| 4-6, 4-6 row 3 : runner-up \| 3 \| 1973 \| richmond wct, us \| carpet \| terry addison \| roy emerson rod laver \| 6-3, 3-6, 4-6 row 4 : runner-up \| 4 \| 1973 \| st. louis, us \| carpet \| terry addison \| ove nils bengtson \| 2-6, 5-7 row 5 : runner-up \| 5 \| 1973 \| columbus, us \| hard \| charles pasarell \| gerald battrick graham \| 4-6, 6-7 row 6 : winner \| 1 \| 1973 \| merion, us \| grass \| allan stone \| john austin fred m \| 7-6, 6-3 row 7 : winner \| 2 \| 1973 \| hong kong \| hard \| rod laver \| paul gerken brian gott \| 6-3, 5-7, 17-15 row 8 : winner \| 3 \| 1974 \| houston, us \| clay \| rod laver \| arthur ashe roscoe t \| 4-6, 7-6, 6-4 row 9 : runner-up \| 7 \| 1975 \| orlando wct, us \| hard \| ray ruffels \| brian gottfried raul \| 4-6, 4-6 row 10 : winner \| 6 \| 1976 \| palm springs, us \| hard \| sandy mayer \| raymond moore erik van \| 6-4, 6-7, 7-6 row 11 : winner \| 7 \| 1976 \| palma, spain \| clay \| john andrews \| mark edmondson john marks \| 2-6, 6-3, 6-2 row 12 : runner-up \| 8 \| 1976 \| madrid, spain \| clay \| john andrews \| carlos kirmayr eduard \| 6-7, 6-4, 6-8 row 13 : winner \| 9 \| 1977 \| little rock, us \| carpet \| haroon rahim \| bob hewitt frew \| 6-7, 6-3, 6-3 row 14 : winner \| 10 \| 1977 \| denver, us \| carpet \| geoff masters \| syd ball kim warwick \| 6-2, 6-3 row 15 : winner \| 11 \| 1977 \| south orange, us \| hard \| wojtek fibak \| ion tiriac guiller \| 6-1, 7-5 row 16 : runner-up \| 10 \| 1978 \| johannesburg, south africa \| hard \| geoff masters \| bob hewitt frew \| 5-7, 6-7 row 17 : runner-up \| 11 \| 1978 \| newport, us \| grass \| bob giltinan \| tim gullikson tom gul \| 4-6, 4-6 row 18 : winner \| 13 \| 1978 \| columbus, us \| clay \| bob giltinan \| marcello lara elio \| 6-2, 6-3 row 19 : runner-up \| 13 \| 1979 \| tulsa, us \| hard (i) \| tom gullikson \| francisco gonzalez e \| 7-6, 5-7, 3-6 row 20 : runner-up \| 14 \| 1979 \| stowe, us \| hard \| anand amritraj \| mike cahill steve k \| 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select opponents in the final where no. < 6 order by no. desc limit 1	gerald battrick graham stilwell
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select no where race = 'chicagoland arca 200'	17
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select count ( date listed ) where city or town = 'highland park'	1
[ 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 county where county = 'powell'	powell
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| asian junior championships \| bangkok, thailand \| 3rd \| 1.76 m row 2 : 2004 \| asian junior championships \| ipoh, malaysia \| 1st \| 1.84 m row 3 : 2004 \| world junior championships \| grosseto, italy \| 7th \| 1.84 m row 4 : 2005 \| universiade \| izmir, turkey \| 7th \| 1.80 m row 5 : 2005 \| asian championships \| incheon, south korea \| 3rd \| 1.84 m row 6 : 2005 \| asian indoor games \| bangkok, thailand \| 2nd \| 1.84 m row 7 : 2006 \| asian games \| doha, qatar \| 6th \| 1.84 m row 8 : 2007 \| asian championships \| amman, jordan \| 3rd \| 1.91 m row 9 : 2007 \| universiade \| bangkok, thailand \| 3rd \| 1.90 m row 10 : 2007 \| world championships \| osaka, japan \| 20th (q) \| 1.88 m row 11 : 2007 \| asian indoor games \| macau \| 3rd \| 1.88 m row 12 : 2008 \| asian indoor championships \| doha, qatar \| 2nd \| 1.91 m row 13 : 2009 \| universiade \| belgrade, serbia \| 14th (q) \| 1.80 m row 14 : 2010 \| asian indoor championships \| tehran, iran \| 2nd \| 1.86 m row 15 : 2010 \| world indoor championships \| istanbul, turkey \| 20th (q) \| 1.81 m row 16 : 2010 \| asian games \| guangzhou, china \| 3rd \| 1.90 m row 17 : 2011 \| asian championships \| kobe, japan \| 4th \| 1.85 m row 18 : 2011 \| universiade \| shenzhen, china \| 10th \| 1.84 m ] Execute this SQL based on the above table: select count ( * ) where venue = 'izmir, turkey'	1
[ header: pos \| team \| played \| won \| draw \| lost \| goals for \| goals against \| goal difference \| points \| notes row 1 : 1 \| fh \| 18 \| 14 \| 2 \| 2 \| 47 \| 20 \| 27 \| 44 \| promoted to 1989 urvalsdeild row 2 : 2 \| fylkir \| 18 \| 9 \| 6 \| 3 \| 39 \| 30 \| 9 \| 33 \| promoted to 1989 urvalsdeild row 3 : 3 \| viðir \| 18 \| 8 \| 3 \| 7 \| 38 \| 31 \| 7 \| 27 \| None row 4 : 4 \| ir \| 18 \| 8 \| 2 \| 8 \| 31 \| 35 \| -4 \| 26 \| None row 5 : 5 \| selfoss \| 18 \| 7 \| 4 \| 7 \| 27 \| 26 \| 1 \| 25 \| None row 6 : 6 \| tindastoll \| 18 \| 7 \| 2 \| 9 \| 27 \| 31 \| -4 \| 23 \| None row 7 : 7 \| breiðablik \| 18 \| 6 \| 5 \| 7 \| 27 \| 33 \| -6 \| 23 \| None row 8 : 8 \| ibv \| 18 \| 6 \| 2 \| 10 \| 29 \| 36 \| -7 \| 20 \| None row 9 : 9 \| ks \| 18 \| 5 \| 4 \| 9 \| 38 \| 46 \| -8 \| 19 \| relegated to 1989 2. deild row 10 : 10 \| þrottur r \| 18 \| 2 \| 6 \| 10 \| 27 \| 42 \| -15 \| 12 \| relegated to 1989 2. deild ] Execute this SQL based on the above table: select team where team = 'tindastoll'	tindastoll
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select count ( district ) where area (km2) = 1998	0
[ header: km \| municipality \| location \| interescting highway \| notes row 1 : 0 \| canada-united states border \| canada-united states border \| nd 18 - cavalier, \| pth 30 begins row 2 : 3 \| r.m. of rhine \| gretna \| pr 243 east - emerson \| begin pr 243 west concurrence row 3 : 5 \| r.m. of rhine \| None \| pr 243 west - blumenfeld \| end pr 243 west concurrence row 4 : 10 \| r.m. of rhine \| None \| pr 421 east - sommerfeld \| None row 5 : 14 \| r.m. of rhine \| altona \| pr 201 west - brown, windy \| begin pr 201 east concurrence row 6 : 18 \| r.m. of rhine \| None \| pr 201 east - letellier, \| end pr 201 east concurrence row 7 : 25 \| r.m. of rhine \| rosenfeld \| pth 14 - morden, win \| pth 30 ends highway continues as pr 3 ] Execute this SQL based on the above table: select notes order by km desc limit 1	pth 30 ends highway continues as pr 332
[ header: state \| swimsuit \| interview \| evening gown \| average \| finalists row 1 : iowa \| 9.267 \| 9.651 \| 9.620 \| 9.513 \| 9.800 row 2 : oklahoma \| 9.226 \| 9.309 \| 9.487 \| 9.341 \| 9.586 row 3 : kansas \| 9.221 \| 9.600 \| 9.600 \| 9.474 \| 9.486 row 4 : alabama \| 9.010 \| 9.326 \| 9.449 \| 9.262 \| 9.471 row 5 : north carolina \| 9.079 \| 9.207 \| 9.500 \| 9.262 \| 9.414 row 6 : california \| 9.340 \| 9.514 \| 9.486 \| 9.447 \| 9.400 row 7 : rhode island \| 9.087 \| 9.279 \| 9.341 \| 9.235 \| None row 8 : maryland \| 9.021 \| 9.206 \| 9.271 \| 9.166 \| None row 9 : indiana \| 8.966 \| 9.103 \| 9.370 \| 9.146 \| None row 10 : virginia \| 8.984 \| 9.112 \| 9.279 \| 9.125 \| None row 11 : mississippi \| 8.917 \| 9.200 \| 9.247 \| 9.121 \| None row 12 : illinois \| 8.897 \| 8.969 \| 9.286 \| 9.050 \| None ] Execute this SQL based on the above table: select interview where state > ( select state where interview = '9.279' ) order by state limit 1	9.112
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 7 \| 4 \| 3 \| 14 row 2 : 2 \| bolivia \| 2 \| 2 \| 2 \| 6 row 3 : 2 \| chile \| 2 \| 2 \| 2 \| 6 row 4 : 4 \| peru \| 1 \| 3 \| 3 \| 7 row 5 : 5 \| ecuador \| 1 \| 1 \| 1 \| 3 row 6 : 6 \| colombia \| 0 \| 1 \| 2 \| 3 row 7 : total \| total \| 13 \| 13 \| 13 \| 39 ] Execute this SQL based on the above table: select nation group by nation order by count ( nation ) limit 1	bolivia
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select make where id = ( select id where make = 'dodge' ) + 'toyota'	dodge
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| european championships \| munich, germany \| 6th \| 7.78 m row 2 : 2003 \| world championships \| paris, france \| 9th \| 7.93 m row 3 : 2004 \| olympic games \| athens, greece \| 5th \| 8.25 m row 4 : 2006 \| european championships \| gothenburg, sweden \| 9th \| 7.74 m row 5 : 2008 \| world indoor championships \| valencia, spain \| 2nd \| 8.06 m row 6 : 2008 \| olympic games \| beijing, china \| 27th \| 7.70 m row 7 : 2009 \| world championships \| berlin, germany \| 8th \| 8.06 m row 8 : 2010 \| european championships \| barcelona, spain \| 3rd \| 8.23 m row 9 : 2011 \| european team championships \| stockholm, sweden \| 3rd \| 8.12 m row 10 : 2011 \| world championships \| daegu, south korea \| 11th \| 7.87 m row 11 : 2012 \| olympic games \| london, england \| 6th \| 8.07 m row 12 : 2013 \| european indoor championships \| gothenburg, sweden \| 7th \| 7.95 m ] Execute this SQL based on the above table: select competition where competition != 'european team championships' and year = ( select year where competition = 'european team championships' )	world championships
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select driver where driver = 'dario franchitti (w)' order by driver desc limit 1	dario franchitti (w)
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select sum ( age ) where age in ( 21 , 46 )	113.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 2 \| 17 february 2002 \| healy park, omagh \| tyrone \| \| 2-10 : 0-18 \| national football league round 2 row 2 : 3 \| 3 march 2002 \| parnell park, dublin \| westmeath \| \| 3-13 : 1-16 \| national football league round 4 row 3 : 5 \| 31 march 2002 \| tuam stadium, galway \| galway \| \| 1-12 : 1-12 \| national football league round 7 row 4 : 6 \| 2 february 2003 \| parnell park, dublin \| armagh \| \| 0-7 : 1-15 \| national football league round 1 row 5 : 12 \| 8 february 2004 \| mchale park, castlebar \| mayo \| \| 0-3 : 1-10 \| national football league round 2 row 6 : 15 \| 21 march 2004 \| parnell park, dublin \| cork \| \| 0-9 : 0-9 \| national football league round 6 row 7 : 16 \| 5 february 2005 \| parnell park, dublin \| mayo \| \| 2-13 : 1-15 \| national football league round 1 row 8 : 21 \| 26 march 2005 \| pairc ui rinn, \| cork \| \| 1-6 : 0-18 \| national football league round 6 row 9 : 22 \| 3 april 2005 \| o'connor park, tul \| offaly \| \| 1-13 : 2-6 \| national football league round 7 row 10 : 27 \| 25 march 2006 \| parnell park, dublin \| mayo \| \| 4-10 : 1-10 \| national football league round 6 row 11 : 28 \| 9 april 2006 \| fitzgerald stadium, kerry \| kerry \| \| 0-13 : 0-13 \| national football league round 7 row 12 : 30 \| 10 february 2007 \| gaelic grounds, limerick \| limerick \| \| 0-14 : 1-10 \| national football league round 2 row 13 : 31 \| 25 february 2007 \| ballyshannon, donegal \| donegal \| \| 0-5 : 0-9 \| national football league round 3 row 14 : 32 \| 10 march 2007 \| parnell park, dublin \| cork \| \| 1-13 : 0-7 \| national football league round 4 row 15 : 41 \| 26 april 2008 \| pairc tailteann, meath \| westmeath \| \| 0-10 : 0-15 \| national football league division 2 final row 16 : 42 \| 31 january 2009 \| croke park, dublin \| tyrone \| \| 1-16 : 1-18 \| national football league round 1 row 17 : 43 \| 15 february 2009 \| pearse stadium, salthill \| galway \| \| 0-13 : 3-12 \| national football league round 2 row 18 : 48 \| 7 february 2010 \| fitzgerald stadium, killarney \| kerry \| \| 1-12 : 1-10 \| national football league round 1 row 19 : 50 \| 13 march 2010 \| parnell park, dublin \| monaghan \| \| 2-11 : 1-9 \| national football league round 4 ] Execute this SQL based on the above table: select min ( # )	2.0
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select studio where gross = '$31,111,111' order by id limit 1	20th century fox
[ header: pick # \| nfl team \| player \| position \| college row 1 : 81 \| philadelphia eagles \| paul fanning \| back \| kansas state row 2 : 82 \| brooklyn dodgers \| ed nowogrowski \| back \| university of washington row 3 : 83 \| chicago cardinals \| dwight hafeli \| back \| washington (st. louis) row 4 : 84 \| new york giants \| dwight scheyer \| end \| washington state row 5 : 85 \| pittsburgh pirates \| matt patanelli \| tackle \| michigan row 6 : 86 \| boston redskins \| bill docherty \| guard \| temple row 7 : 87 \| detroit lions \| larry kelley \| guard \| yale row 8 : 88 \| chicago bears \| al guepe \| end \| marquette row 9 : 89 \| green bay packers \| gordon dahlgren \| guard \| michigan state row 10 : 90 \| cleveland rams \| ray johnson \| tackle \| denver ] Execute this SQL based on the above table: select sum ( pick # )	855.0
[ header: year \| competition \| venue \| position \| notes row 1 : 2005 \| european u23 championships \| erfurt, germany \| 7th \| 72.81 m row 2 : 2008 \| olympic games \| beijing, china \| 8th \| 82.06 m (=pb row 3 : 2009 \| universiade \| belgrade, serbia \| 5th \| 78.29 m row 4 : 2010 \| european championships \| barcelona, spain \| 14th (q) \| 76.29 m row 5 : 2012 \| olympic games \| london, united kingdom \| 15th (q) \| 80.06 m row 6 : 2013 \| world championships \| moscow, russia \| 32nd (q) \| 72.66 m ] Execute this SQL based on the above table: select count ( position ) where venue > 1392	6
[ 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 venue group by venue order by count ( position ) desc limit 1	stuttgart, germany
[ header: poll company \| source \| publication date \| psuv \| opposition \| undecided row 1 : gis xxi \| radio nacional de venezuela \| march 2010 \| 32 \| 22 \| 36 row 2 : gis xxi \| radio nacional de venezuela \| may 2010 \| 36 \| 23 \| 33 row 3 : gis xxi \| radio nacional de venezuela \| june 2010 \| 44 \| 20 \| None row 4 : hinterlaces \| hinterlaces el universal \| july 2010 \| 27 \| 28 \| 23 row 5 : gis xxi \| correo del orinoco \| august 2010 \| 50 \| 44 \| None row 6 : ivad \| el universal \| august 2010 \| 45 \| 43 \| None row 7 : keller & asociados \| el universal \| august 2010 \| 32 \| 46 \| None row 8 : keller & asociados \| el universal \| 2 september 2010 \| 43 \| 57 \| 0 row 9 : datanalisis \| abc.es \| september 2010 \| 52 \| 48 \| None row 10 : hinterlaces \| union radio descifrado \| september 2010 \| 41 \| 37 \| None row 11 : ivad \| union radio descifrado \| september 2010 \| 54 \| 46 \| None ] Execute this SQL based on the above table: select poll company where source = 'el universal' and poll company > ( select poll company where source = 'el universal' order by poll company limit 1 ) order by poll company limit 1	keller & asociados
[ header: name in english \| name in turkish \| area (km2) \| depth \| location (districts and/or provinces) row 1 : lake tuz \| tuz golu \| 1500 km2 \| 2 m \| aksaray, ankara, row 2 : lake egirdir \| egirdir golu \| 482 km2 \| None \| isparta row 3 : lake iznik \| iznik golu \| 308 km2 \| None \| iznik in bursa, row 4 : lake manyas \| manyas golu \| 166 km2 \| None \| balıkesir row 5 : lake acıgol \| acıgol \| 153 km2 \| None \| denizli, afyon row 6 : lake uluabat \| uluabat golu \| 134 km2 \| 1-2 m \| bursa row 7 : lake cıldır \| cıldır golu \| 115 km2 \| None \| ardahan, kars row 8 : lake palas tuzla \| palas tuzla gol \| 106 km2 \| 15 m \| palas/kayseri row 9 : lake hazar \| hazar golu \| 86 km2 \| None \| elazıg row 10 : lake koycegiz \| koycegiz golu \| 52 km2 \| None \| koycegiz in mugla row 11 : lake isıklı \| isıklı golu \| 49 km2 \| None \| denizli row 12 : lake yay \| yay golu \| 37 km2 \| None \| kayseri row 13 : lake tuzla \| tuzla golu \| 23 km2 \| None \| tuzla row 14 : lake kucukcekmece \| kucukcekmece gol \| 16 km2 \| None \| kucukcekmece, ist row 15 : lake yaraslı \| yaraslı golu \| 16 km2 \| None \| burdur row 16 : lake haclı \| haclı golu \| 16 km2 \| None \| mus row 17 : lake arin \| arin golu \| 13 km2 \| None \| None row 18 : lake balık \| balık golu \| 12 km2 \| None \| None row 19 : lake akdogan \| akdogan golu \| 11 km2 \| None \| None row 20 : lake cavuslu \| cavuslu golu \| 9 km2 \| None \| None row 21 : lake duden \| duden golu \| 8 km2 \| None \| None row 22 : lake gala \| gala golu \| 8 km2 \| None \| edirne row 23 : lake karatas \| karatas golu \| 6 km2 \| None \| None row 24 : lake eymir \| eymir golu \| 1.8 km2 \| None \| ankara row 25 : lake golcuk \| golcuk golu \| 1 km2 \| None \| izmir ] Execute this SQL based on the above table: select name in english where name in english in ( 'lake isıklı' , 'lake eymir' ) order by area (km2) desc limit 1	lake isıklı
[ header: team \| car(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : akins-sutton motorsports \| ford taurus \| 98 \| elton sawyer \| lysol \| brad akins \| ricky viers row 2 : allcar racing \| chevrolet monte carlo \| 22 \| jimmy kitchens \| air jamaica vacations \| dave carroll \| todd lohse row 3 : buckshot racing \| pontiac grand prix \| 0 \| larry pearson \| cheez-it \| billy jones \| kenneth campbell row 4 : cicci-welliver racing \| chevrolet monte carlo \| 34 \| mike mclaughlin \| goulds pumps \| frank cicci \| jay smith row 5 : cicci-welliver racing \| pontiac grand prix \| 36 \| tim fedewa \| stanley tools \| scott welliver \| vic kangas row 6 : cicci-welliver racing \| chevrolet monte carlo \| 66 \| todd bodine \| phillips 66 \| jeffrey welliver \| donnie richeson row 7 : diamond ridge motorsports \| chevrolet monte carlo \| 4 \| jeff purvis \| lance snacks \| gary bechtel \| johnny allen row 8 : henderson brothers racing \| chevrolet monte carlo \| 75 \| kelly denton (r) \| big daddy's bbq sauce \| charlie henderson \| ron denton row 9 : hvp motorsports \| chevrolet monte carlo \| 63 \| chuck bown \| exxon superflo \| hubert hensley \| jeff hensley row 10 : innovative motorsports \| chevrolet monte carlo \| 47 \| andy santerre \| monro muffler brake \| george debidart \| kevin caldwell row 11 : joe gibbs racing \| pontiac grand prix \| 18 \| bobby labonte \| mbna \| joe gibbs \| bryant frazier row 12 : prw racing \| ford taurus \| 77 \| ed berrier \| lear corporation \| tony hall \| jimmy means row 13 : phil parsons racing \| chevrolet monte carlo \| 10 \| phil parsons \| alltel \| marcia parsons \| doug taylor row 14 : phoenix racing \| chevrolet monte carlo \| 1 \| randy lajoie \| bob evans restaurants \| james finch \| marc reno row 15 : progressive motorsports \| chevrolet monte carlo \| 32 \| jeff green \| kleenex \| greg pollex \| harold holly row 16 : reiser enterprises \| chevrolet monte carlo \| 17 \| matt kenseth \| dewalt tools \| robbie reiser \| robbie reiser row 17 : roush racing \| ford taurus \| 9 \| jeff burton \| track gear \| jack roush \| tommy morgan row 18 : sadler brothers racing \| chevrolet monte carlo \| 95 \| bobby hamilton, j \| shoney's inn \| earl sadler \| chick sadler row 19 : st motorsports \| chevrolet monte carlo \| 59 \| mike dillon \| kingsford \| tad geschickter \| steve plattenberger row 20 : team yellow racing \| chevrolet monte carlo \| 19 \| mike skinner \| yellow freight \| david ridling \| c. r. miller ] Execute this SQL based on the above table: select count ( crew chief ) where car(s) = 'chevrolet monte carlo'	14
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select count ( * ) ( select name group by name having count ( name ) > 689 )	0
[ header: week \| room \| winning couple \| 2nd couple \| 3rd couple \| chumps row 1 : 1 \| guest bedroom 1 \| alisa and lysandra \| kyal and kara/brad \| chantelle and steve \| None row 2 : 2 \| downstairs bathrooms, laundry & terrace \| brad and dale \| alisa and lysandra \| chantelle and steve \| kyal and kara row 3 : 3 \| guest bedroom 2 \| kyal and kara \| chantalle and steve \| alisa and lysandra \| brad and dale row 4 : 4 \| upstairs bathroom \| kyal and kara \| brad and dale \| chantelle and steve \| alisa and lysandra row 5 : 5 \| kitchen \| alisa and lysandra \| kyal and kara \| brad and dale \| chantelle and steve row 6 : 6 \| living room and dining room \| chantelle and steve \| alisa and lysandra \| brad and dale / kyal \| None row 7 : 7 \| master bedroom and ensuite \| brad and dale \| chantelle and steve \| alisa and lysandra \| kyal and kara row 8 : 8 \| rooftop/outside terrace \| kyal and kara \| brad and dale \| alisa and lysandra \| chantelle and steve ] Execute this SQL based on the above table: select week where 3rd couple = 'brad and dale'	5
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select notes where notes = '13.5'	13.5
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select dvd release region 4 order by id desc limit 1	17 march 2003
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| janelle atkinson \| jamaica \| 4:16.89 \| q row 2 : 2 \| None \| None \| None \| q row 3 : 3 \| kaitlin sandeno \| united states \| 4:18.97 \| q row 4 : 4 \| julia stowers \| united states \| 4:19.84 \| q row 5 : 5 \| None \| None \| None \| q row 6 : 6 \| None \| None \| None \| q row 7 : 7 \| None \| None \| None \| q row 8 : 8 \| None \| None \| None \| q ] Execute this SQL based on the above table: select notes where rank = 3	q
[ header: category \| urban settlements \| population \| male \| female \| inhabited localities in jurisdiction row 1 : urban \| dzhebariki-khaya \| 1694 \| 844 (49.8%) \| 850 (50.2%) \| urban-type settlement of dzhebar row 2 : urban \| khandyga (ханд \| 6638 \| 3326 (49.8%) \| 3312 (50.2%) \| urban-type settlement of khandyg row 3 : rural \| bayagantaysky na \| 1823 \| 884 (48.5%) \| 939 (51.5%) \| selo of krest-khal row 4 : rural \| megino-aldansky n \| 1020 \| 490 (48.0%) \| 530 (52.0%) \| selo of megino-al row 5 : rural \| okhot-perevozovsky \| 142 \| 70 (49.3%) \| 72 (50.7%) \| selo of okhotsky-per row 6 : rural \| sasylsky na \| 555 \| 275 (49.5%) \| 280 (50.5%) \| selo of keskil row 7 : rural \| teploklyuchevsky \| 887 \| 447 (50.4%) \| 440 (49.6%) \| selo of teply row 8 : rural \| tomponsky national nasleg \| 915 \| 458 (50.1%) \| 457 (49.9%) \| selo of topolinoye row 9 : rural \| ynginsky nasleg \| 425 \| 217 (51.1%) \| 208 (48.9%) \| selo of novy selo ] Execute this SQL based on the above table: select count ( * ) where urban settlements < ( select urban settlements where urban settlements = 'dzhebariki-khaya (джебарики-хая)' )	0
[ header: single/ep \| release date \| label \| format(s) \| uk singles chart position \| notes row 1 : "hundredweight" \| 19 february 2001 \| fierce panda records \| cd, 7" \| None \| accompanied by b-sides: " row 2 : "try not to think" \| 11 march 2002 \| jive records \| cd, 7" \| None \| accompanied by b-sides: " row 3 : "bleach" \| 20 may 2002 \| jive records \| cd, 7" \| 67 \| accompanied by b-sides: " row 4 : "you & me" \| 9 september 2002 \| jive records \| 2xcd, 7" \| 57 \| accompanied by b-sides: " row 5 : "junkies" \| 27 january 2003 \| jive records \| 2xcd, 7" \| 40 \| accompanied by b-sides: " row 6 : "2nd amendment" \| 6 october 2003 \| jive records \| 2xcd, 7" \| 42 \| accompanied by b-sides: " row 7 : "'til the day" \| 19 january 2004 \| jive records \| 2xcd, 7" \| 27 \| accompanied by b-sides "stra row 8 : "how did it ever come to this?" \| 30 august 2004 \| zomba / bmg \| 2xcd, 7" \| 50 \| accompanied by b-sides: " ] Execute this SQL based on the above table: select notes where uk singles chart position = 50	accompanied by b-sides: "celebritykiller", "young hearts run free", "you can't tear polaroids", "this guy's in love with you"
[ header: date \| pos. \| name \| from \| fee row 1 : 27 june 2007 \| df \| aaron hughes \| aston villa \| £1,000,000 row 2 : 5 july 2007 \| mf \| steven davis \| aston villa \| £4,000,000 row 3 : 9 july 2007 \| fw \| diomansy kamara \| west bromwich albion \| £6,000,000 row 4 : 12 july 2007 \| df \| chris baird \| southampton \| £3,035,000 row 5 : 13 july 2007 \| fw \| david healy \| leeds united \| £1,500,000 row 6 : 13 july 2007 \| df \| paul konchesky \| west ham \| £3,250,000 row 7 : 19 july 2007 \| mf \| lee cook \| qpr \| £2,500,000 row 8 : 4 august 2007 \| mf \| adrian leijer \| melbourne victory \| undisclosed row 9 : 8 august 2007 \| df \| hameur bouazza \| watford \| £3,000,000 row 10 : 23 august 2007 \| gk \| kasey keller \| borussia monchengladbach \| free row 11 : 30 august 2007 \| df \| nathan ashton \| unattached \| free row 12 : 31 august 2007 \| fw \| shefki kuqi \| crystal palace \| loan row 13 : 31 august 2007 \| mf \| danny murphy \| tottenham hotspur \| loan row 14 : 31 august 2007 \| mf \| seol ki-hyeon \| reading \| undisclosed row 15 : 31 august 2007 \| df \| dejan stefanovic \| portsmouth \| £1,000,000 ] Execute this SQL based on the above table: select name order by fee asc limit 1	adrian leijer
[ header: county \| feinstein \| votes \| seymour \| votes \| horne \| votes \| meeu. \| votes \| boddie \| votes \| w/i \| v's row 1 : san mateo \| 67.25% \| 181,990 \| 27.89% \| 75,470 \| 1.84% \| 4,983 \| 1.29% \| 3,478 \| 1.73% \| 4,684 \| 0.00% \| 0 row 2 : contra costa \| 62.96% \| 229,988 \| 31.62% \| 115,507 \| 1.92% \| 7,011 \| 1.77% \| 6,470 \| 1.73% \| 6,320 \| 0.00% \| 2 row 3 : sonoma \| 62.84% \| 121,471 \| 29.38% \| 56,793 \| 3.02% \| 5,846 \| 2.43% \| 4,702 \| 2.33% \| 4,502 \| 0.00% \| 0 row 4 : santa clara \| 62.19% \| 364,997 \| 30.98% \| 181,858 \| 2.15% \| 12,646 \| 2.20% \| 12,912 \| 2.47% \| 14,518 \| 0.00% \| 2 row 5 : monterey \| 58.89% \| 66,417 \| 34.74% \| 39,182 \| 2.10% \| 2,369 \| 2.30% \| 2,590 \| 1.96% \| 2,216 \| 0.00% \| 0 row 6 : los angeles \| 58.72% \| 1,552,223 \| 34.03% \| 899,656 \| 3.18% \| 84,093 \| 2.09% \| 55,380 \| 1.97% \| 52,123 \| 0.00% \| 20 row 7 : napa \| 57.01% \| 29,875 \| 35.38% \| 18,539 \| 2.46% \| 1,288 \| 2.93% \| 1,537 \| 2.22% \| 1,161 \| 0.00% \| 0 row 8 : del norte \| 50.92% \| 4,696 \| 39.66% \| 3,658 \| 2.56% \| 236 \| 4.98% \| 459 \| 1.89% \| 174 \| 0.00% \| 0 row 9 : merced \| 47.61% \| 22,010 \| 43.79% \| 20,246 \| 2.79% \| 1,289 \| 2.95% \| 1,365 \| 2.86% \| 1,323 \| 0.00% \| 0 row 10 : nevada \| 46.04% \| 20,044 \| 44.73% \| 19,476 \| 2.90% \| 1,261 \| 3.32% \| 1,444 \| 3.02% \| 1,313 \| 0.00% \| 0 row 11 : placer \| 45.75% \| 40,511 \| 45.73% \| 40,497 \| 2.38% \| 2,109 \| 3.30% \| 2,920 \| 2.84% \| 2,518 \| 0.00% \| 0 row 12 : mariposa \| 45.38% \| 3,681 \| 43.98% \| 3,568 \| 3.09% \| 251 \| 5.07% \| 411 \| 2.48% \| 201 \| 0.00% \| 0 row 13 : sierra \| 45.12% \| 818 \| 44.57% \| 808 \| 2.48% \| 45 \| 3.47% \| 63 \| 4.36% \| 79 \| 0.00% \| 0 row 14 : mono \| 45.11% \| 1,931 \| 44.64% \| 1,911 \| 2.83% \| 121 \| 3.95% \| 169 \| 3.48% \| 149 \| 0.00% \| 0 row 15 : butte \| 44.72% \| 37,396 \| 45.57% \| 38,111 \| 2.96% \| 2,477 \| 3.56% \| 2,980 \| 3.19% \| 2,666 \| 0.00% \| 0 row 16 : trinity \| 42.41% \| 2,743 \| 43.66% \| 2,824 \| 3.80% \| 246 \| 6.29% \| 407 \| 3.83% \| 248 \| 0.00% \| 0 row 17 : yuba \| 40.76% \| 6,890 \| 46.63% \| 7,882 \| 3.07% \| 518 \| 6.09% \| 1,030 \| 3.45% \| 584 \| 0.00% \| 0 ] Execute this SQL based on the above table: select horne where county = 'sierra'	2.48%
[ header: # \| weekend end date \| film \| weekend gross (millions) \| notes row 1 : 1 \| january 6, 2008 \| national treasure: book of secrets \| $1.65 \| None row 2 : 3 \| january 20, 2008 \| cloverfield \| $2.26 \| None row 3 : 4 \| january 27, 2008 \| rambo \| $1.71 \| meet the spartans was #1 in north row 4 : 6 \| february 10, 2008 \| fool's gold \| $1.55 \| None row 5 : 7 \| february 17, 2008 \| jumper \| $2.06 \| None row 6 : 8 \| february 24, 2008 \| vantage point \| $1.55 \| None row 7 : 11 \| march 16, 2008 \| horton hears a who! \| $2.89 \| None row 8 : 12 \| march 23, 2008 \| horton hears a who! \| $1.99 \| None row 9 : 13 \| march 30, 2008 \| 21 \| $2.17 \| None row 10 : 14 \| april 6, 2008 \| 21 \| $1.63 \| None row 11 : 15 \| april 13, 2008 \| prom night \| $1.25 \| None row 12 : 18 \| may 4, 2008 \| iron man \| $7.49 \| None row 13 : 19 \| may 11, 2008 \| iron man \| $3.93 \| None row 14 : 20 \| may 18, 2008 \| the chronicles of narnia: prince \| $4.11 \| None row 15 : 21 \| may 25, 2008 \| indiana jones and the kingdom of \| $7.00 \| None row 16 : 22 \| june 1, 2008 \| sex and the city \| $4.88 \| None row 17 : 26 \| june 29, 2008 \| wanted \| $3.10 \| wall-e was #1 in north america row 18 : 27 \| july 6, 2008 \| hancock \| $3.67 \| None row 19 : 28 \| july 13, 2008 \| hellboy ii: the golden army \| $2.50 \| None row 20 : 29 \| july 20, 2008 \| the dark knight \| $10.53 \| the dark knight had the highest weekend debut of 2008 row 21 : 31 \| august 3, 2008 \| the dark knight \| $3.65 \| None row 22 : 32 \| august 10, 2008 \| the dark knight \| $2.39 \| None row 23 : 33 \| august 17, 2008 \| tropic thunder \| $2.11 \| None row 24 : 34 \| august 24, 2008 \| tropic thunder \| $1.45 \| None row 25 : 35 \| august 31, 2008 \| tropic thunder \| $1.48 \| None row 26 : 37 \| september 14, 2008 \| burn after reading \| $1.75 \| None row 27 : 38 \| september 21, 2008 \| burn after reading \| $1.15 \| lakeview terrace was #1 in north america row 28 : 39 \| september 28, 2008 \| eagle eye \| $2.20 \| None row 29 : 40 \| october 5, 2008 \| eagle eye \| $1.16 \| beverly hills chihuah row 30 : 41 \| october 12, 2008 \| body of lies \| $1.18 \| beverly hills chihuah row 31 : 42 \| october 19, 2008 \| max payne \| $1.50 \| None row 32 : 44 \| november 2, 2008 \| zack & miri make a \| $1.53 \| high school musical 3: senior year was #1 in row 33 : 46 \| november 16, 2008 \| quantum of solace \| $7.64 \| None row 34 : 47 \| november 23, 2008 \| twilight \| $5.30 \| None row 35 : 49 \| december 7, 2008 \| twilight \| $1.52 \| four christmases was #1 in north america row 36 : 50 \| december 14, 2008 \| the day the earth stood still \| $1.81 \| None row 37 : 51 \| december 21, 2008 \| yes man \| $1.22 \| None row 38 : 52 \| december 28, 2008 \| the curious case of benjamin button \| $2.22 \| marley & me was #1 in north ] Execute this SQL based on the above table: select film order by # desc limit 1	the curious case of benjamin button
[ header: opposition \| matches \| won \| drawn \| lost \| for \| against \| win% row 1 : bhopal badshahs \| 2 \| 0 \| 1 \| 1 \| 7 \| 8 \| 0.00% row 2 : chennai cheeta \| 2 \| 1 \| 0 \| 1 \| 6 \| 5 \| 50.00% row 3 : delhi wizards \| 2 \| 2 \| 0 \| 0 \| 4 \| 2 \| 100.00% row 4 : karnataka lions \| 2 \| 1 \| 0 \| 1 \| 8 \| 4 \| 50.00% row 5 : mumbai marines \| 2 \| 2 \| 0 \| 0 \| 9 \| 5 \| 100.00% row 6 : pune strykers \| 3 \| 2 \| 0 \| 1 \| 11 \| 8 \| 66.67% row 7 : sher-e-punjab \| 2 \| 1 \| 0 \| 1 \| 5 \| 6 \| 50.00% ] Execute this SQL based on the above table: select lost where win% = '100.00%'	0.0, 0.0
[ header: rank \| athlete \| nationality \| time \| notes row 1 : None \| valeriy borchin \| russia \| 1:19:56 \| None row 2 : None \| vladimir kanay \| russia \| 1:20:27 \| None row 3 : None \| luis fernando lopez \| colombia \| 1:20:38 \| sb row 4 : 4 \| wang zhen \| china \| 1:20:54 \| None row 5 : 5 \| stanislav emelyanov \| russia \| 1:21:11 \| None row 6 : 6 \| kim hyun-sub \| south korea \| 1:21:17 \| None row 7 : 7 \| ruslan dmytrenko \| ukraine \| 1:21:31 \| sb row 8 : 8 \| yusuke suzuki \| japan \| 1:21:39 \| None row 9 : 9 \| alex schwazer \| italy \| 1:21:50 \| sb row 10 : 10 \| erick barrondo \| guatemala \| 1:22:08 \| None row 11 : 11 \| chu yafei \| china \| 1:22:10 \| None row 12 : 12 \| sergey morozov \| russia \| 1:22:37 \| None row 13 : 14 \| matej toth \| slovakia \| 1:22:55 \| None row 14 : 15 \| eder sanchez \| mexico \| 1:23:05 \| None row 15 : 16 \| joao vieira \| portugal \| 1:23:26 \| None row 16 : 17 \| miguel angel lopez \| spain \| 1:23:41 \| None row 17 : 18 \| anton kucmin \| slovakia \| 1:23:57 \| None row 18 : 19 \| james rendon \| colombia \| 1:24:08 \| sb row 19 : 20 \| horacio nava \| mexico \| 1:24:15 \| None row 20 : 21 \| christopher linke \| germany \| 1:24:17 \| None row 21 : 22 \| caio bonfim \| brazil \| 1:24:29 \| None row 22 : 23 \| trevor barron \| united states \| 1:24:33 \| None row 23 : 24 \| rafał augustyn \| poland \| 1:24:47 \| None row 24 : 25 \| byun youngjun \| south korea \| 1:24:48 \| None row 25 : 28 \| recep celik \| turkey \| 1:25:39 \| None row 26 : 29 \| nazar kovalenko \| ukraine \| 1:25:50 \| None row 27 : 31 \| babubhai panucha \| india \| 1:26:53 \| None row 28 : 32 \| david kimutai \| kenya \| 1:27:20 \| sb row 29 : 33 \| yerko araya \| chile \| 1:27:47 \| None row 30 : 34 \| hedi teraoui \| tunisia \| 1:29:48 \| None row 31 : 35 \| diego flores \| mexico \| 1:30:00 \| None row 32 : 37 \| emerson hernandez \| el salvador \| 1:30:48 \| sb row 33 : 38 \| ronald quispe \| bolivia \| 1:32:09 \| pb row 34 : None \| moacir zimmermann \| brazil \| dsq \| None row 35 : None \| gustavo restrepo \| colombia \| dsq \| None row 36 : None \| giorgio rubino \| italy \| dsq \| None row 37 : None \| anatole ibanez \| sweden \| dsq \| None row 38 : None \| adam rutter \| australia \| dnf \| None row 39 : None \| mauricio arteaga \| ecuador \| dnf \| None ] Execute this SQL based on the above table: select count ( nationality ) where rank > 'None'	0
[ header: year \| car \| start \| qual \| rank \| finish \| laps \| led \| retired row 1 : 1961 \| 98 \| 5 \| 146.08 \| 7 \| 12 \| 192 \| 27 \| flagged row 2 : 1962 \| 98 \| 1 \| 150.37 \| 1 \| 7 \| 200 \| 120 \| running row 3 : 1963 \| 98 \| 1 \| 151.153 \| 1 \| 1 \| 200 \| 167 \| running row 4 : 1964 \| 98 \| 4 \| 155.099 \| 4 \| 23 \| 55 \| 7 \| pit fire row 5 : 1965 \| 98 \| 5 \| 158.625 \| 5 \| 2 \| 200 \| 0 \| running row 6 : 1966 \| 98 \| 4 \| 162.484 \| 4 \| 14 \| 87 \| 0 \| wheel bearing row 7 : 1967 \| 40 \| 6 \| 166.075 \| 6 \| 6 \| 196 \| 171 \| bearing row 8 : totals \| totals \| totals \| totals \| totals \| totals \| 1130 \| 492 \| None ] Execute this SQL based on the above table: select count ( retired )	7
[ 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 ( distinct to )	8
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select count ( * )	7
[ header: year \| title \| role \| notes row 1 : 1984 \| no small affair \| mona \| film debut row 2 : 1985 \| moving violations \| amy hopkins \| None row 3 : 1987 \| inside out \| amy \| None row 4 : 1988 \| johnny be good \| connie hisler \| None row 5 : 1988 \| high spirits \| miranda \| None row 6 : 1989 \| let it ride \| vicki \| None row 7 : 1989 \| the fabulous baker boys \| blanche "monica" moran \| None row 8 : 1991 \| the doors \| okie girl \| uncredited row 9 : 1991 \| scorchers \| talbot \| None row 10 : 1992 \| shadow of the wolf \| igiyook \| None row 11 : 1993 \| made in america \| stacy \| None row 12 : 1994 \| bullets over broadway \| olive neal \| None row 13 : 1994 \| embrace of the vampire \| marika \| None row 14 : 1995 \| bird of prey \| kily griffith \| None row 15 : 1995 \| man with a gun \| rena rushton/kathy \| None row 16 : 1996 \| the pompatus of love \| tarzaan \| None row 17 : 1996 \| house arrest \| cindy figler \| None row 18 : 1996 \| bound \| violet \| None row 19 : 1996 \| american strays \| patty mae \| None row 20 : 1997 \| liar liar \| samantha cole \| None row 21 : 1997 \| edie & pen \| edie piper \| None row 22 : 1997 \| bella mafia \| moyra luciano \| None row 23 : 1997 \| the wrong guy \| lynn holden \| None row 24 : 1998 \| relax...it's just sex \| tara ricotto \| None row 25 : 1998 \| hoods \| mary crippa \| None row 26 : 1998 \| bride of chucky \| tiffany \| None row 27 : 1998 \| music from another room \| nina \| None row 28 : 1999 \| goosed \| charlene \| None row 29 : 1999 \| do not disturb \| cathryn \| None row 30 : 1999 \| bartok the magnificent \| piloff \| voice only direct-to-video row 31 : 1999 \| play it to the bone \| ringside fan \| None row 32 : 2000 \| cord \| helen \| None row 33 : 2000 \| bruno \| dolores \| None row 34 : 2000 \| dancing at the blue iguana \| jo \| None row 35 : 2000 \| the crew \| ferris 'aka maureen' low \| None row 36 : 2001 \| fast sofa \| ginger quail \| None row 37 : 2001 \| ball in the house \| dot \| None row 38 : 2001 \| the cat's meow \| louella parsons \| None row 39 : 2003 \| the haunted mansion \| madame leota \| None row 40 : 2003 \| jericho mansions \| donna cherry \| None row 41 : 2004 \| second best \| carole \| None row 42 : 2004 \| perfect opposites \| elyse steinberg \| None row 43 : 2004 \| home on the range \| grace \| voice only row 44 : 2004 \| el padrino \| sebeva \| None row 45 : 2004 \| love on the side \| alma kerns \| None row 46 : 2005 \| lil' pimp \| miss de la croix \| voice only row 47 : 2005 \| the civilization of maxwell bright \| dr. o'shannon \| None row 48 : 2005 \| tideland \| queen gunhilda \| None row 49 : 2006 \| the poker movie \| herself \| None row 50 : 2007 \| intervention \| None \| None row 51 : 2008 \| deal \| karen 'razor' jo \| None row 52 : 2008 \| the caretaker \| miss perry \| None row 53 : 2008 \| inconceivable \| salome 'sally' marsh \| None ] Execute this SQL based on the above table: select count ( * ) where title = 'the poker movie'	1
[ 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 count ( video title ) where director = 'None'	0
[ header: pollutant \| units \| emission standard \| coal-fired \| petroleum coke-fired row 1 : so2 \| lb/mmbtu \| ≤ 0.15 \| 0.0-0.04 \| 0.03-0.13 row 2 : nox \| lb/mmbtu \| ≤ 0.09 \| 0.04-0.06 \| 0.02 row 3 : solid particulate \| lb/mmbtu \| ≤ 0.011 \| 0.004 \| 0.007 row 4 : pm10 \| lb/mmbtu \| ≤ 0.011 \| 0.006 \| 0.004 row 5 : so3 \| lb/hour \| ≤ 1.1 \| 0.43 \| 0 row 6 : fluoride \| lb/mmbtu \| ≤ 1.57×10-4 \| 1.06×10-4 \| 0.95×10-4 row 7 : lead \| lb/mmbtu \| ≤ 2.6×10-5 \| 0.56×10-5 \| 0.59×10-5 row 8 : mercury \| lb/mmbtu \| ≤ 1.05×10-5 \| 0.095×10-5 \| 0.028×10-5 ] Execute this SQL based on the above table: select units group by units having count ( units ) = ( select count ( units ) group by units order by count ( units ) asc limit 1 )	lb/hour
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select name on the register where >= 9 order by asc limit 1263	highland park general hospital
[ 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 ) where player = 'adrian lewis'	1
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select album where year = ( select year where album = 'five' ) - 1	live on the day of storms
[ header: score \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 row 1 : 5 \| 15.3% \| 18.4% \| 18.0% \| 17.1% \| 17.0% \| 16.4% \| 18.9% row 2 : 4 \| 18.0% \| 17.5% \| 17.9% \| 18.5% \| 18.4% \| 19.3% \| 21.5% row 3 : 3 \| 23.0% \| 20.0% \| 20.2% \| 19.3% \| 19.5% \| 20.1% \| 18.8% row 4 : 2 \| 18.5% \| 14.3% \| 14.2% \| 12.7% \| 14.6% \| 15.0% \| 14.9% row 5 : 1 \| 25.3% \| 29.9% \| 29.8% \| 32.3% \| 30.4% \| 29.2% \| 26.0% row 6 : mean \| 2.79 \| 2.8 \| 2.8 \| 2.76 \| 2.77 \| 2.79 \| 2.92 row 7 : number of students \| 97136 \| 100586 \| 104789 \| 115077 \| 122651 \| 132425 \| 140006 ] Execute this SQL based on the above table: select ( select id where 2012 = '19.3%' ) < ( select id where 2012 = '15.0%' )	1
[ header: transmitter \| kw \| bbca \| bbcb \| d3&4 \| sdn \| arqa \| arqb \| pol. \| a.g. row 1 : allenheads \| 0.002 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 2 : alston \| 0.08 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 3 : bellingham \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 4 : blaydon burn \| 0.002 \| 44 \| 47 \| 41 \| None \| None \| None \| v \| b e k row 5 : byrness \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 6 : catton beacon \| 0.028 \| 40 \| 46 \| 43 \| None \| None \| None \| v \| b e k row 7 : durham \| 0.003 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 8 : esh \| 0.0024 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 9 : felling \| 0.002 \| 40 \| 43 \| 46 \| None \| None \| None \| v \| b e k row 10 : fenham \| 0.4 \| 27 \| 21 \| 24 \| 25 \| 22 \| 28 \| v \| a k row 11 : haltwhistle \| 0.4 \| 59 \| 55 \| 62- \| None \| None \| None \| v \| c/d e row 12 : haydon bridge \| 0.02 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 13 : hedleyhope \| 0.004 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 14 : humshaugh \| 0.0118 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 15 : ireshopeburn \| 0.0022 \| 55 \| 59 \| 50 \| None \| None \| None \| v \| c/d e row 16 : kielder \| 0.0054 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 17 : morpeth \| 0.0088 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 18 : newton \| 0.4 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 19 : seaham \| 0.059 \| 44 \| 47 \| 46 \| None \| None \| None \| v \| b e k row 20 : shotleyfield \| 0.04 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 21 : staithes \| 0.002 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 22 : sunderland \| 0.006 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 23 : wall \| 0.0042 \| 52 \| 51 \| 48 \| None \| None \| None \| h \| b c/d e row 24 : weardale \| 0.2 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 25 : whitaside \| 0.0025 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k ] Execute this SQL based on the above table: select transmitter where id = ( select id where transmitter = 'durham' ) - 1	catton beacon
[ header: act \| year signed \| # albums released under bad boy row 1 : diddy \| 1993 \| 6 row 2 : the notorious b.i.g \| 1993 \| 5 row 3 : harve pierre \| 1993 \| None row 4 : the hitmen \| 1993 \| None row 5 : mario winans \| 1995 \| 1 row 6 : kalenna harper \| 2004 \| None row 7 : cassie \| 2006 \| 1 row 8 : janelle monae \| 2007 \| 2 row 9 : red cafe \| 2009 \| None row 10 : machine gun kelly \| 2011 \| 1 row 11 : french montana \| 2012 \| 1 row 12 : megan nicole \| 2012 \| None ] Execute this SQL based on the above table: select count ( act ) where act = 'the hitmen'	1
[ header: numbers tops \| numbers tops \| numbers pre-tops \| name(s) \| dates \| final livery \| operator \| withdrawn \| status row 1 : 86205 \| 86503 \| e3129 \| city of lancaster \| 1979-2003 \| virgin red/black \| virgin west coast \| 10/2003 \| converted to 86701 (08/2009) row 2 : 86208 \| None \| e3141 \| city of chester \| 1979-2000 \| intercity \| ews \| 03/2002 \| scrapped at crewe electric tmd row 3 : 86223 \| None \| e3158 \| hector norwich union \| 1979-1987 1987-2004 \| anglia railways \| fm rail \| 04/2004 \| scrapped at emr kings row 4 : 86225 \| None \| e3164 \| hardwicke \| 1980-2003 \| virgin red/black \| virgin cross-country \| 07/2002 \| scrapped at rotherham (04/ row 5 : 86235 \| None \| e3194 \| novelty harold macmillan crown point \| 1979-1990 1990-1992 1992- \| anglia railways \| 'one' \| 09/2005 \| stored at long marston row 6 : 86246 \| 86505 \| e3149 \| royal anglian regiment \| 1985- \| anglia railways \| 'one' \| 12/2004 \| stored at long marston row 7 : 86251 \| None \| e3183 \| the birmingham post \| 1984-2002 \| virgin red/black \| fm rail \| 10/2002 \| stored at long marston row 8 : 86255 \| 86042 \| e3154 \| penrith beacon \| 1981-1999 \| intercity \| virgin cross-country \| 08/1998 \| scrapped at immingham rft row 9 : 86258 \| 86046 \| e3192 \| talyllyn - the first \| 1984-2001 2001-2002 \| virgin red/black \| virgin cross-country \| 07/2002 \| conversion to battery-electric locomotive cancelled. scrapped row 10 : 86419 \| 86319 \| e3120 \| post haste 150 years of the travelling post \| 1990-1993 \| rail express systems \| ews \| 03/1999 \| scrapped at crewe electric tmd row 11 : 86424 \| 86324 \| e3111 \| None \| None \| nr yellow \| network rail \| 12/2002 \| exported hungary. (08/2013) row 12 : 86501 \| 86608 \| e3180 \| crewe basford hall \| 2000-2000 \| freightliner green \| freightliner \| None \| in service row 13 : 86602 \| 86402 \| e3170 \| None \| None \| freightliner green \| freightliner \| 03/2005 \| scrapped at sandbach car & row 14 : 86605 \| 86405 \| e3185 \| intercontainer \| 1992-1996 \| freightliner green \| freightliner \| None \| in service row 15 : 86611 \| 86411 \| e3171 \| airey neave \| 1983-2003 \| freightliner grey \| freightliner \| 11/2003 \| written-off in norton bridge accident scrapped row 16 : 86614 \| 86414 \| e3145 \| frank hornby \| 1986-2001 \| freightliner green \| freightliner \| None \| in service row 17 : 86627 \| 86427 \| e3110 \| the industrial society \| 1985-1999 \| freightliner green \| freightliner \| None \| in service ] Execute this SQL based on the above table: select numbers pre-tops where numbers tops = 86419	e3120
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 1st \| 3000 m \| 9:12.70 row 2 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 1500 m \| 4:17.39 row 3 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 3000 m \| 9:03.16 (pb) row 4 : 2007 \| world athletics final \| stuttgart, germany \| 8th \| 1500 m \| 4:16.51 row 5 : 2007 \| world championships \| osaka, japan \| 31st (h) \| 1500 m \| 4:22.12 row 6 : 2008 \| world indoor championships \| valencia, spain \| 5th \| 1500 m \| 4:15.54 row 7 : 2008 \| olympic games \| beijing, china \| 10th \| 1500 m \| 4:05.57 row 8 : 2009 \| mediterranean games \| pescara, italy \| 4th \| 1500 m \| 4:12.83 row 9 : 2009 \| world championships \| berlin, germany \| 29th (h) \| 1500 m \| 4:10.57 row 10 : 2009 \| jeux de la francophonie \| beirut, lebanon \| 2nd \| 1500 m \| 4:21.56 row 11 : 2010 \| african championships \| nairobi, kenya \| 11th \| 1500 m \| 4:20.98 row 12 : 2011 \| world championships \| daegu, south korea \| 16th (sf) \| 1500 m \| 4:09.64 row 13 : 2011 \| pan arab games \| doha, qatar \| 2nd \| 1500 m \| 4:20.83 row 14 : 2012 \| world indoor championships \| istanbul, turkey \| 11th (h) \| 1500 m \| 4:11.69 row 15 : 2013 \| mediterranean games \| mersin, turkey \| 2nd \| 800 m \| 2:00.79 row 16 : 2013 \| mediterranean games \| mersin, turkey \| 1st \| 1500 m \| 4:04.06 row 17 : 2013 \| world championships \| moscow, russia \| 11th \| 1500 m \| 4:09.16 row 18 : 2013 \| jeux de la francophonie \| nice, france \| 4th \| 800 m \| 2:03.73 row 19 : 2013 \| jeux de la francophonie \| nice, france \| 2nd \| 1500 m \| 4:18.89 row 20 : 2014 \| world indoor championships \| sopot, poland \| 4th \| 1500 m \| 4:07.62 ] Execute this SQL based on the above table: select count ( competition ) where event >= '1500 m'	0
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select award where category = 'outstanding supporting actress in a drama series' order by year limit 2006	23rd daytime emmy awards, 24th daytime emmy awards, 25th daytime emmy awards
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select county where primary mshsaa class* = ( select primary mshsaa class* where county = 'nodaway' ) + 1	buchanan, livingston, buchanan, andrew, clay
[ header: county \| fips code \| county seat \| created \| origin \| etymology \| population estimate (2011) \| area row 1 : alamance county \| 1 \| graham \| 1849 \| orange county \| the battle of alamance which was derived \| 153291 \| 435 sq mi (1,127 km2) row 2 : clay county \| 43 \| hayesville \| 1861 \| cherokee county \| henry clay (1777-1852), states \| 10563 \| 221 sq mi (572 km2) row 3 : dare county \| 55 \| manteo \| 1870 \| currituck county, hyde \| virginia dare (b. 1587 \| 34307 \| 1,562 sq mi (4,046 km2) row 4 : duplin county \| 61 \| kenansville \| 1750 \| new hanover county \| thomas hay, viscount du \| 59542 \| 819 sq mi (2,121 km2) row 5 : gaston county \| 71 \| gastonia \| 1846 \| lincoln county \| william gaston (1778-1844), \| 207031 \| 364 sq mi (943 km2) row 6 : greene county \| 79 \| snow hill \| 1799 \| dobbs county originally named glasgo \| nathanael greene (17 \| 21556 \| 266 sq mi (689 km2) row 7 : henderson county \| 89 \| hendersonville \| 1838 \| buncombe county \| leonard henderson (1772-18 \| 107927 \| 375 sq mi (971 km2) row 8 : mitchell county \| 121 \| bakersville \| 1861 \| burke county, caldwell county, m \| elisha mitchell (1793 \| 15445 \| 222 sq mi (575 km2) row 9 : wilson county \| 195 \| wilson \| 1855 \| edgecombe county, johnston county, \| louis d. wilson, \| 81452 \| 374 sq mi (969 km2) row 10 : yadkin county \| 197 \| yadkinville \| 1850 \| surry county \| the yadkin river \| 38279 \| 337 sq mi (873 km2) ] Execute this SQL based on the above table: select ( select county seat where origin = 'surry county' ) < ( select county seat where origin = 'edgecombe county, johnston county, nash county, and wayne county' )	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select rank# order by attendance limit 1	#4
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 5 \| 2 \| 3 \| 10 row 2 : 2 \| colombia \| 4 \| 4 \| 9 \| 17 row 3 : 3 \| dominican republic \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| peru \| 3 \| 3 \| 8 \| 14 row 5 : 5 \| ecuador \| 2 \| 3 \| 3 \| 8 row 6 : 6 \| guatemala \| 1 \| 1 \| 1 \| 3 row 7 : 7 \| chile \| 0 \| 3 \| 2 \| 5 row 8 : 8 \| panama \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| bolivia \| 0 \| 0 \| 1 \| 1 row 10 : 9 \| paraguay \| 0 \| 0 \| 1 \| 1 row 11 : total \| total \| 19 \| 19 \| 35 \| 73 ] Execute this SQL based on the above table: select count ( nation )	11
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 9 \| 8 \| 6 \| 23 row 2 : 2 \| guatemala \| 6 \| 6 \| 6 \| 18 row 3 : 3 \| peru \| 5 \| 8 \| 9 \| 22 row 4 : 4 \| chile \| 4 \| 4 \| 1 \| 9 row 5 : 5 \| el salvador \| 4 \| 0 \| 2 \| 6 row 6 : 6 \| ecuador \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| bolivia \| 2 \| 1 \| 2 \| 5 row 8 : 8 \| dominican republic \| 1 \| 0 \| 2 \| 3 row 9 : 9 \| colombia \| 0 \| 1 \| 3 \| 4 row 10 : total \| total \| 33 \| 33 \| 32 \| 98 ] Execute this SQL based on the above table: select gold where nation = 'venezuela'	9.0
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| ue lleida \| 38 \| 57+19 \| 23 \| 11 \| 4 \| 56 \| 20 \| 36 row 2 : 2 \| real valladolid \| 38 \| 52+14 \| 20 \| 12 \| 6 \| 50 \| 30 \| 20 row 3 : 3 \| racing de santander \| 38 \| 52+14 \| 23 \| 6 \| 9 \| 56 \| 38 \| 18 row 4 : 4 \| rcd mallorca \| 38 \| 50+12 \| 21 \| 8 \| 9 \| 57 \| 34 \| 23 row 5 : 5 \| real betis \| 38 \| 43+5 \| 16 \| 11 \| 11 \| 49 \| 33 \| 16 row 6 : 6 \| real madrid b \| 38 \| 42+4 \| 15 \| 12 \| 11 \| 57 \| 41 \| 16 row 7 : 7 \| atletico marbella \| 38 \| 42+4 \| 17 \| 8 \| 13 \| 45 \| 41 \| 4 row 8 : 8 \| barcelona b \| 38 \| 39+1 \| 15 \| 9 \| 14 \| 59 \| 55 \| 4 row 9 : 9 \| cp merida \| 38 \| 39+1 \| 13 \| 13 \| 12 \| 43 \| 42 \| 1 row 10 : 10 \| cd castellon \| 38 \| 36-2 \| 13 \| 10 \| 15 \| 40 \| 45 \| -5 row 11 : 11 \| cd badajoz \| 38 \| 36-2 \| 14 \| 8 \| 16 \| 37 \| 36 \| 1 row 12 : 12 \| sd compostela \| 38 \| 35-3 \| 10 \| 15 \| 13 \| 35 \| 39 \| -4 row 13 : 13 \| villarreal cf \| 38 \| 34-4 \| 13 \| 8 \| 17 \| 38 \| 51 \| -14 row 14 : 14 \| palamos cf \| 38 \| 33-5 \| 12 \| 9 \| 17 \| 33 \| 50 \| -17 row 15 : 15 \| athletic de bilbao b \| 38 \| 33-5 \| 9 \| 15 \| 14 \| 33 \| 34 \| -1 row 16 : 16 \| sd eibar \| 38 \| 32-6 \| 10 \| 12 \| 16 \| 33 \| 44 \| -11 row 17 : 17 \| ue figueres \| 38 \| 32-6 \| 11 \| 10 \| 17 \| 41 \| 59 \| -18 row 18 : 18 \| cd lugo \| 38 \| 25-13 \| 7 \| 11 \| 20 \| 23 \| 41 \| -18 row 19 : 19 \| sestao \| 38 \| 24-14 \| 7 \| 10 \| 21 \| 29 \| 54 \| -25 row 20 : 20 \| ce sabadell fc 1 \| 38 \| 24-14 \| 8 \| 8 \| 22 \| 30 \| 57 \| -27 ] Execute this SQL based on the above table: select club where goal difference = 1	cp merida, cd badajoz
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select ( select bronze where nation = 'colombia' ) <= 1134	1
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select name of show group by name of show order by count ( episodes ) desc limit 1	the super trio show
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where pos. = 'dnf'	7
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select ( select total seats where governorate = 'al-muthanna' ) - ( select total seats where governorate = 'najaf' )	-2.0
[ header: # \| secretary of state \| prime minister \| tenure row 1 : 1 \| hector louis langevin \| macdonald \| july 1, 1867 - dec row 2 : 4 \| richard william scott \| mackenzie \| january 9, 1874 - row 3 : 6 \| john o'connor \| macdonald \| november 8, 1880 - may 19, row 4 : 9 \| james colebrooke patterson \| abbott \| january 25, 1892 - row 5 : None \| joseph alderic ouimet \| bowell \| december 21, 1895 - jan row 6 : 13 \| sir charles tupper \| bowell \| january 15, 1896 - row 7 : 15 \| charles murphy \| laurier \| october 9, 1908 - row 8 : 17 \| louis coderre \| borden \| october 29, 1912 - row 9 : 18 \| pierre edouard blondin \| borden \| october 6, 1915 - row 10 : 19 \| esioff leon patenau \| borden \| january 8, 1917 - jun row 11 : None \| albert sevigny (acting) \| borden \| june 13, 1917 - august 24, 1917 row 12 : 22 \| arthur lewis sifton \| borden \| december 31, 1919 - july row 13 : 22 \| arthur lewis sifton \| meighen \| july 10, 1920 - janu row 14 : 26 \| walter edward foster \| king \| september 26, 1925 - november 12, row 15 : 27 \| guillaume andre fauteux \| meighen \| august 23, 1926 - september 25, 19 row 16 : 28 \| fernand rinfret \| king \| september 25, 1926 - august 7, 1930 row 17 : 35 \| jack pickersgill \| st. laurent \| june 11, 1953 - june row 18 : 38 \| henri courtemanche \| diefenbaker \| may 12, 1958 - june 19, 1960 row 19 : None \| leon balcer (acting minister) \| diefenbaker \| june 21, 1960 - oc row 20 : 39 \| noel dorion \| diefenbaker \| october 11, 1960 - row 21 : 43 \| jean marchand \| trudeau \| april 20, 1968 - ju row 22 : 44 \| gerard pelletier \| trudeau \| july 5, 1968 - november row 23 : 45 \| james hugh faulk \| trudeau \| november 27, 1972 - september 13, row 24 : 46 \| john roberts \| trudeau \| september 14, 1976 - june 3, row 25 : 47 \| david macdonald \| clark \| june 4, 1979 - march 2, 1980 row 26 : 49 \| gerald regan \| trudeau \| september 22, 1981 - octo row 27 : 50 \| serge joyal \| turner \| june 30, 1984 - september 16, row 28 : 54 \| lucien bouchard \| mulroney \| march 31, 1988 - january 29, row 29 : 55 \| gerry weiner \| mulroney \| january 30, 1989 - a row 30 : 57 \| monique landry \| mulroney \| january 4, 1993 - jun ] Execute this SQL based on the above table: select secretary of state order by # desc limit 1	monique landry
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select count ( men's winner ) where time (h:m:s) = '1:14:38'	0
[ header: name \| year built \| country \| town \| height \| remarks row 1 : glacial aerial tramway kaprun i \| 1966 \| austria \| kaprun \| 113.6 m \| the tallest pylon is on the third row 2 : mississippi aerial river transit \| 1984 \| usa \| new orleans \| 109 m \| the tallest pylon on a row 3 : torre jaume i \| 1931 \| spain \| barcelona \| 107 m \| intermediate stop of the harbour aerial tramway, also row 4 : gant hohtaelli aerial tram \| None \| switzerland \| zermatt \| 94 m \| one pylon row 5 : london emirates air line \| early 2012 \| uk \| london \| 88 m \| north main tower. river thames aerial row 6 : singapore cable car \| 1972 \| singapore \| singapore \| 88 m \| pylon i row 7 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 85 m \| pylon ii row 8 : nizhny novgorod vol \| 2012 \| russia \| nizhny novgorod \| 82 m \| None row 9 : mittersill goods aerial tramway \| 1940s \| austria \| mittersill \| 80 m \| two pylons for a tramway row 10 : singapore cable car \| 1972 \| singapore \| singapore \| 80 m \| pylon ii row 11 : 3s aerial tramway \| 2004 \| austria \| kitzbuhel \| 80 m \| one pylon row 12 : torre sant sebasti \| 1931 \| spain \| barcelona \| 78 m \| terminal of harbour aerial tramway row 13 : roosevelt island tram \| 1976 \| usa \| new york city \| 76 m \| central pylon of commuter tramway row 14 : wendelstein aerial tramway \| 1970 \| germany \| bayerischzell-osterhof \| 75 m \| None row 15 : vinpearl cable car \| 2007 \| vietnam \| nha trang \| 75 m \| 7 pylons standing in the sea. row 16 : sandia peak tramway \| 1965 \| usa \| albuquerque \| 70.7 m \| pylon 1, inclined at an angle of 18 row 17 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 65 m \| pylon i ] Execute this SQL based on the above table: select count ( * ) where town = 1555	0
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select district order by altitude (m) limit 1	thrissur
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select constituency name where constituency name in ( 'jonai' , 'tinsukia' ) order by constituency number desc limit 1	tinsukia
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( * ) where position = 1144 and position = 612	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 date = 'oct 19, 1975'	san antonio texas open
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| new caledonia \| 120 \| 107 \| 61 \| 288 row 2 : 2 \| tahiti \| 60 \| 42 \| 42 \| 144 row 3 : 3 \| papua new guinea \| 48 \| 25 \| 48 \| 121 row 4 : 4 \| fiji \| 33 \| 44 \| 53 \| 130 row 5 : 5 \| samoa \| 22 \| 17 \| 34 \| 73 row 6 : 6 \| nauru \| 8 \| 10 \| 10 \| 28 row 7 : 7 \| tonga \| 4 \| 6 \| 10 \| 20 row 8 : 8 \| micronesia \| 3 \| 0 \| 0 \| 3 row 9 : 9 \| cook islands \| 2 \| 6 \| 4 \| 12 row 10 : 10 \| wallis and futuna \| 2 \| 3 \| 7 \| 12 row 11 : 11 \| vanuatu \| 1 \| 8 \| 8 \| 17 row 12 : 12 \| kiribati \| 1 \| 6 \| 6 \| 13 row 13 : 13 \| northern mariana islands \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| guam \| 0 \| 6 \| 5 \| 11 row 15 : 15 \| solomon islands \| 0 \| 5 \| 17 \| 22 row 16 : 16 \| niue \| 0 \| 3 \| 3 \| 6 row 17 : 17 \| tuvalu \| 0 \| 2 \| 1 \| 3 row 18 : 18 \| palau \| 0 \| 1 \| 3 \| 4 row 19 : 19 \| american samoa \| 0 \| 0 \| 0 \| 0 row 20 : 19 \| marshall islands \| 0 \| 0 \| 0 \| 0 row 21 : 19 \| norfolk island \| 0 \| 0 \| 0 \| 0 row 22 : 19 \| tokelau \| 0 \| 0 \| 0 \| 0 row 23 : total \| total \| 305 \| 291 \| 312 \| 908 ] Execute this SQL based on the above table: select nation where nation != 'niue' and bronze = ( select bronze where nation = 'niue' )	palau
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( league ) where division > 4	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	september 26
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : st gall \| 1401: imperial city \| None \| None \| None \| 1454: associate of the swis row 2 : salm-morchingen \| wild- and rhinegraviate \| upp rhen \| None \| 1607 \| partitioned from salm-kyrburg row 3 : saxe-meissen \| duchy \| upp sax \| pr \| 1485 \| partitioned from saxe-witt row 4 : sayn-altenkirchen \| county \| None \| None \| None \| to saxe-eisenach to row 5 : schonburg (schonburg) \| 1700: hre county 1790: \| upp sax \| None \| None \| 1100s; 1st mention of schon row 6 : schwarzburg-arenstadt \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1651-1669 and 1681-1716: row 7 : schwarzburg-keula \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1740: re-annexed row 8 : schweinfurt \| 1254: free imperial town \| franc \| sw \| 1282 \| 791: 1st mention of schw row 9 : seckau \| 1218: bishopric 1218: h \| aust \| None \| 1218 \| None row 10 : solms count of solms, \| county \| None \| None \| 1129 \| 1258: partitioned into solms row 11 : solms-sachsenfeld \| county \| upp rhen \| None \| 1741 \| partitioned from solms-wilden row 12 : stettenfels \| lordship \| None \| None \| None \| None ] Execute this SQL based on the above table: select notes where notes != '1258: partitioned into solms-braunfels and solms-burg-solms' and type = ( select type where notes = '1258: partitioned into solms-braunfels and solms-burg-solms' )	to saxe-eisenach to brandenburg-ansbach to prussia, partitioned from solms-wildenfels
[ header: team \| seasons \| games \| wins \| ties \| losses \| goals for \| goals against \| goal diff \| points row 1 : montreal canadiens \| 94 \| 6,120 \| 3,135 \| 837 \| 2,148 \| 19,929 \| 16,416 \| 3,513 \| 7,203 row 2 : boston bruins \| 87 \| 5,960 \| 2,856 \| 791 \| 2,313 \| 19,109 \| 17,459 \| 1,650 \| 6,609 row 3 : philadelphia flyers \| 44 \| 3,506 \| 1,756 \| 457 \| 1,293 \| 11,783 \| 10,270 \| 1,513 \| 4,060 row 4 : buffalo sabres \| 41 \| 3,280 \| 1,569 \| 409 \| 1,302 \| 10,868 \| 9,875 \| 993 \| 3,630 row 5 : los angeles kings \| 44 \| 3,506 \| 1,428 \| 424 \| 1,654 \| 11,306 \| 12,016 \| -710 \| 3,373 row 6 : vancouver canucks \| 41 \| 3,280 \| 1,353 \| 391 \| 1,536 \| 10,378 \| 1,1024 \| -646 \| 3,179 row 7 : washington capitals \| 37 \| 2,968 \| 1,305 \| 303 \| 1,360 \| 9,407 \| 9,739 \| -332 \| 3,004 row 8 : new jersey devils (kansas \| 37 \| 2,968 \| 1,260 \| 328 \| 1380 \| 8,931 \| 9,590 \| -659 \| 2,915 row 9 : colorado avalanche (que \| 32 \| 2,568 \| 1,174 \| 261 \| 1,133 \| 8,564 \| 8,417 \| 147 \| 2,681 row 10 : phoenix coyotes (win \| 32 \| 2,568 \| 1,063 \| 266 \| 1,239 \| 8,058 \| 8,809 \| -756 \| 2,473 row 11 : carolina hurricanes (hartford whaler \| 32 \| 2,568 \| 1,049 \| 263 \| 1,256 \| 7,808 \| 8,599 \| -791 \| 2,447 row 12 : san jose sharks \| 20 \| 1,608 \| 721 \| 121 \| 766 \| 4,553 \| 4,744 \| -191 \| 1,657 row 13 : ottawa senators \| 19 \| 1,528 \| 679 \| 115 \| 734 \| 4,401 \| 4,506 \| -105 \| 1,556 row 14 : anaheim ducks \| 18 \| 1,444 \| 638 \| 107 \| 699 \| 3,863 \| 4,021 \| -158 \| 1,477 row 15 : tampa bay lightning \| 19 \| 1,528 \| 588 \| 112 \| 828 \| 4,058 \| 4,842 \| -784 \| 1,384 row 16 : minnesota wild \| 11 \| 902 \| 405 \| 55 \| 442 \| 2,259 \| 2,338 \| -79 \| 945 row 17 : winnipeg jets (atlant \| 12 \| 984 \| 379 \| 45 \| 550 \| 2,690 \| 3,260 \| -570 \| 891 row 18 : new york americans (1925-1941) \| 17 \| 784 \| 255 \| 127 \| 402 \| 1,643 \| 2,182 \| -539 \| 637 row 19 : montreal maroons \| 14 \| 622 \| 271 \| 91 \| 260 \| 1,474 \| 1,405 \| 69 \| 633 row 20 : quebec bulldogs (1919-1920 \| 6 \| 150 \| 51 \| 1 \| 98 \| 505 \| 652 \| -147 \| 103 row 21 : montreal wanderers \| 1 \| 6 \| 1 \| 0 \| 5 \| 17 \| 35 \| -18 \| 2 ] Execute this SQL based on the above table: select ( select losses where team = 'tampa bay lightning' ) - ( select losses where team = 'los angeles kings' )	-826.0
[ header: 2011 rank \| 2010 rank \| 2009 rank \| 2008 rank \| 2007 rank \| company (country) \| 2011 arms sales (us$ m.) \| 2010 arms sales (us$ m.) \| 2009 arms sales (us$ m.) \| 2008 arms sales (us$ m.) \| 2007 arms sales (us$ m.) \| arms sales as share of company's total sales (%), row 1 : 1 \| 1 \| 1 \| 2 \| 3 \| lockheed martin \| 36270 \| 35730 \| 33430 \| 29880 \| 29400 \| 78 row 2 : 2 \| 3 \| 3 \| 3 \| 1 \| boeing \| 31830 \| 31360 \| 32300 \| 29200 \| 30480 \| 46 row 3 : 3 \| 2 \| 2 \| 1 \| 2 \| bae systems \| 29150 \| 32880 \| 33250 \| 32420 \| 29860 \| 95 row 4 : 4 \| 5 \| 5 \| 5 \| 5 \| general dynamics \| 23760 \| 23940 \| 25590 \| 22780 \| 21520 \| 73 row 5 : 5 \| 6 \| 6 \| 6 \| 6 \| raytheon \| 22470 \| 22980 \| 21030 \| 23080 \| 19540 \| 90 row 6 : 6 \| 4 \| 4 \| 4 \| 4 \| northrop grumman \| 21390 \| 28150 \| 27000 \| 26090 \| 24600 \| 81 row 7 : 7 \| 7 \| 7 \| 7 \| 7 \| airbus group \| 16390 \| 16360 \| 17900 \| 15930 \| 13100 \| 24 row 8 : 8 \| 8 \| 8 \| 8 \| 9 \| finmeccanica \| 14560 \| 14410 \| 13280 \| 13020 \| 9850 \| 60 row 9 : 9 \| 9 \| 9 \| 9 \| 8 \| l-3 communications \| 12520 \| 13070 \| 13010 \| 12160 \| 11240 \| 83 row 10 : 10 \| 10 \| 10 \| 11 \| 11 \| united technologies corporation \| 11640 \| 11410 \| 11110 \| 9980 \| 8760 \| 20 row 11 : 11 \| 11 \| 11 \| 10 \| 10 \| thales group \| 9480 \| 9950 \| 10200 \| 10760 \| 9350 \| 52 row 12 : 12 \| 12 \| 12 \| 12 \| 12 \| saic \| 7940 \| 8230 \| 8030 \| 7350 \| 6250 \| 75 row 13 : 13 \| None \| None \| None \| None \| huntington ingalls industries \| 6380 \| None \| None \| None \| None \| 97 row 14 : 14 \| 15 \| 14 \| 15 \| 15 \| honeywell \| 5280 \| 5400 \| 5380 \| 5310 \| 5020 \| 14 row 15 : 15 \| 16 \| 16 \| 25 \| 14 \| safran \| 5240 \| 4800 \| 4740 \| 3020 \| 5230 \| 32 row 16 : 16 \| 14 \| 13 \| 14 \| 13 \| computer sciences corp \| 4860 \| 5940 \| 6050 \| 5710 \| 5420 \| 31 row 17 : 17 \| 17 \| 19 \| 17 \| 17 \| rolls-royce \| 4670 \| 4330 \| 4140 \| 4720 \| 4580 \| 26 row 18 : 18 \| 21 \| None \| None \| None \| united aircraft corporation \| 4440 \| 3440 \| None \| None \| None \| 80 row 19 : 19 \| 13 \| 27 \| 37 \| 45 \| oshkosh corporation \| 4370 \| 7080 \| 2770 \| 2070 \| 1570 \| 58 row 20 : 20 \| 18 \| 18 \| 22 \| 20 \| general electric \| 4100 \| 4300 \| 4700 \| 3650 \| 3460 \| 3 row 21 : 21 \| 19 \| 17 \| 16 \| 19 \| itt corp \| 4020 \| 4000 \| 4730 \| 5170 \| 3850 \| 69 row 22 : 22 \| 20 \| 22 \| 18 \| 23 \| almaz-antey \| 3690 \| 3950 \| 3260 \| 4340 \| 2780 \| 85 ] Execute this SQL based on the above table: select count ( company (country) ) where company (country) = 769	0
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select count ( origin ) where no. < 7	6
[ header: year \| author \| illustrator \| title \| publisher row 1 : 1982 \| angela carter (ed. and translator \| michael foreman \| sleeping beauty and other favourite fairy tales \| v. gollancz row 2 : 1983 \| anthony browne \| browne \| gorilla \| julia macrae row 3 : 1984 \| john burningham \| burningham \| granpa \| j. cape row 4 : 1985 \| ted hughes (1968) \| andrew davidson \| the iron man \| faber row 5 : 1986 \| allan ahlberg \| janet ahlberg \| the jolly postman \| heinemann row 6 : 1987 \| charles causley \| charles keeping \| jack the treacle eater \| macmillan row 7 : 1988 \| lewis carroll (1865) \| anthony browne \| alice's adventures in wonderland \| julia macrae row 8 : 1989 \| martin waddell \| barbara firth \| the park in the dark \| walker row 9 : 1990 \| quentin blake \| blake \| all join in \| j. cape row 10 : 1991 \| colin mcnaughton \| mcnaughton \| have you seen who's just moved in next \| walker row 11 : 1992 \| raymond briggs \| briggs \| the man \| julia macrae row 12 : 1993 \| karen wallace \| mike bostock \| think of an eel \| walker row 13 : 1994 \| trish cooke \| helen oxenbury \| so much \| walker row 14 : 1995 \| kathy henderson \| patrick benson \| the little boat \| walker row 15 : 1996 \| babette cole \| cole \| drop dead \| j. cape row 16 : 1997 \| william mayne \| jonathan heale \| lady muck \| heinemann row 17 : 1998 \| anthony browne \| browne \| voices in the park \| doubleday row 18 : 1999 \| lewis carroll (1865) \| helen oxenbury \| alice's adventures in wonderland \| walker ] Execute this SQL based on the above table: select abs ( ( select count ( * ) where title = 'the jolly postman' ) - ( select count ( * ) where title = 'voices in the park' ) )	0
[ header: date \| opponent \| home/away \| field \| result row 1 : june 2 \| lizards \| away \| hofstra stadium \| l 8-21 row 2 : june 7 \| pride \| away \| commerce bank ballpark \| l 7-12 row 3 : june 15 \| cannons \| home \| the ballpark at harbor yard \| l 18-19 ot row 4 : june 21 \| bayhawks \| home \| dunning field \| l 7-15 row 5 : june 22 \| bayhawks \| away \| ravens stadium \| w 15-12 row 6 : june 28 \| lizards \| home \| the ballpark at harbor yard \| l 20-21 ot row 7 : july 6 \| pride \| home \| the ballpark at harbor yard \| l 16-17 ot row 8 : july 12 \| rattlers \| away \| frontier field \| l 5-15 row 9 : july 18 \| cannons \| away \| cawley memorial stadium \| l 13-22 row 10 : july 25 \| rattlers \| home \| the ballpark at harbor yard \| l 12-16 row 11 : july 27 \| cannons \| away \| cawley memorial stadium \| w 19-17 row 12 : july 31 \| lizards \| home \| the ballpark at harbor yard \| w 15-13 row 13 : august 9 \| cannons \| home \| the ballpark at harbor yard \| l 15-17 row 14 : august 17 \| lizards \| away \| hofstra stadium \| l 11-18 ] Execute this SQL based on the above table: select result where result != 'w 15-13' and opponent = ( select opponent where result = 'w 15-13' )	l 8-21, l 20-21 ot, l 11-18
[ 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 terrain order by id desc limit 1	plain stage
[ 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 density (inhabitants/km2) order by area (km2) desc limit 1	461.8
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select romanians order by year asc limit 1	69.3%
[ header: year \| show \| role \| channel \| notes row 1 : 2004 \| mtv roadies season 2 \| contestant \| mtv india \| winner of mtv roadies season 2 row 2 : 2007 \| kayamath \| saket shergil \| star plus \| None row 3 : 2008 \| pepsi mtv wass \| video jockey \| mtv india \| co-hosted the show with mt row 4 : 2008 \| mtv fully faltoo movie- \| fakir lan \| mtv \| spoof of shahrukh row 5 : 2008 \| mtv fully faltoo movie- \| prince jalebi \| mtv \| spoof of the movie jodha row 6 : 2008 \| mtv roadies hell down under \| anchor \| mtv india \| anchor at the auditions only row 7 : 2008 \| ek thi rajkumari \| antagonist \| zee next \| antagonist row 8 : 2008-09 \| fantastic 5 \| video jockey \| mtv india \| None row 9 : 2009 \| india's got talent season 1 \| anchor \| colors tv \| co-hosted the show with nikh row 10 : 2009 \| kurkure desi beats rock on \| anchor \| mtv india \| anchor at the auditions only row 11 : 2008 \| mtv roadies season 7 \| anchor \| mtv india \| anchor at the auditions only row 12 : 2009 \| stripped \| anchor \| mtv india \| None row 13 : 2009 \| amul music ka maha muqq \| anchor \| star plus \| None row 14 : 2010 \| extra innings t20 for indian premier league \| presenter \| set max \| co-hosted the show with gaurav row 15 : 2010 \| india's got talent season 2 \| anchor \| colors tv \| co-hosted the show with nikh row 16 : 2010 \| kurkure desi beats rock on \| anchor \| mtv india \| co-hosted the show with lis row 17 : 2010 - present \| airtel super star buzz \| anchor \| star plus \| None row 18 : 2011 \| mtv grind \| anchor \| mtv india \| None row 19 : 2011 \| mtv roadies season 8 graveyard \| anchor \| mtv india \| None row 20 : 2011 \| just dance \| anchor \| star plus \| winner, indian television academy award for best anchor ] Execute this SQL based on the above table: select role where show = 'kurkure desi beats rock on with mtv season 2'	anchor
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : democratic \| 3683 \| 251 \| 3934 \| 36.93% row 2 : republican \| 1322 \| 78 \| 1400 \| 13.14% row 3 : unaffiliated \| 4709 \| 606 \| 5315 \| 49.90% row 4 : minor parties \| 3 \| 0 \| 3 \| 0.03% row 5 : total \| 9717 \| 935 \| 10652 \| 100% ] Execute this SQL based on the above table: select count ( party ) where party = 'republican'	1
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select % where rank = '2nd'	12.3, 31.5, 29.6, 33.7, 24.4

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[ header: area served \| city of license \| vc \| rf \| callsign \| network \| notes row 1 : evansville \| evansville \| 7 \| 28 \| wtvw \| cw \| None row 2 : evansville \| evansville \| 9 \| 9 \| wnin \| pbs \| None row 3 : fort wayne \| fort wayne \| 21 \| 24 \| wpta \| abc \| cw on 21.2 row 4 : fort wayne \| fort wayne \| 33 \| 19 \| wise-tv \| nbc \| mnt on 33.2 row 5 : fort wayne \| fort wayne \| 39 \| 40 \| wfwa \| pbs \| None row 6 : fort wayne \| fort wayne \| 55 \| 36 \| wfft-tv \| fox \| None row 7 : gary \| gary \| 56 \| 17 \| wyin \| pbs \| None row 8 : indianapolis \| indianapolis \| 8 \| 9 \| wish-tv \| cbs \| None row 9 : indianapolis \| indianapolis \| 13 \| 13 \| wthr \| nbc \| None row 10 : indianapolis \| indianapolis \| 20 \| 21 \| wfyi \| pbs \| None row 11 : indianapolis \| marion \| 23 \| 32 \| wndy-tv \| mnt \| None row 12 : indianapolis \| bloomington \| 30 \| 14 \| wtiu \| pbs \| None row 13 : indianapolis \| indianapolis \| 40 \| 16 \| whmb-tv \| lesea \| None row 14 : indianapolis \| bloomington \| 42 \| 42 \| wclj-tv \| tbn \| None row 15 : indianapolis \| indianapolis \| 59 \| 45 \| wxin \| fox \| None row 16 : indianapolis \| bloomington \| 63 \| 27 \| wipx-tv \| ion \| None row 17 : indianapolis \| indianapolis \| 69 \| 44 \| wdti \| daystar \| None row 18 : kokomo \| kokomo \| 29 \| 29 \| wttk \| cw \| satellite of wttv ch. row 19 : muncie \| muncie \| 49 \| 23 \| wipb \| pbs \| None row 20 : south bend \| south bend \| 16 \| 42 \| wndu-tv \| nbc \| None row 21 : south bend \| south bend \| 22 \| 22 \| wsbt-tv \| cbs \| None row 22 : south bend \| elkhart \| 28 \| 28 \| wsjv \| fox \| None row 23 : south bend \| south bend \| 34 \| 35 \| wnit \| pbs \| None row 24 : south bend \| south bend \| 46 \| 48 \| whme-tv \| lesea \| None row 25 : terre haute \| terre haute \| 10 \| 10 \| wthi-tv \| cbs \| fox on 10.2 row 26 : terre haute \| terre haute \| 38 \| 39 \| wawv-tv \| abc \| None row 27 : vincennes \| vincennes \| 22 \| 22 \| wvut \| pbs \| None row 28 : ~chicago il \| gary \| 50 \| 51 \| wpwr-tv \| mnt \| None row 29 : ~chicago il \| hammond \| 62 \| 36 \| wjys \| ind \| None row 30 : ~louisville ky \| salem \| 58 \| 51 \| wmyo \| mnt \| None ] Execute this SQL based on the above table: select sum ( rf ) where notes in ( 'satellite of wttv ch. 4 indianapolis' , 'cw on 21.2' )	53.0
[ header: fin \| st \| driver \| car # \| make \| points \| bonus \| laps \| winnings row 1 : 1 \| 1 \| jeff gordon \| 24 \| chevrolet \| 195 \| 10 \| 192 \| $355,511 row 2 : 2 \| 8 \| jimmie johnson \| 48 \| chevrolet \| 175 \| 5 \| 192 \| $251,736 row 3 : 3 \| 26 \| kurt busch \| 2 \| dodge \| 170 \| 5 \| 192 \| $212,483 row 4 : 4 \| 2 \| david gilliland \| 38 \| ford \| 160 \| None \| 192 \| $182,689 row 5 : 5 \| 25 \| jamie mcmurray \| 26 \| ford \| 160 \| 5 \| 192 \| $134,675 row 6 : 7 \| 36 \| dale earnhardt jr \| 8 \| chevrolet \| 151 \| 5 \| 192 \| $149,233 row 7 : 8 \| 20 \| david stremme \| 40 \| dodge \| 147 \| 5 \| 192 \| $106,025 row 8 : 9 \| 28 \| ryan newman \| 12 \| dodge \| 138 \| None \| 192 \| $133,450 row 9 : 10 \| 37 \| martin truex jr \| 1 \| chevrolet \| 134 \| None \| 192 \| $126,495 row 10 : 11 \| 9 \| scott riggs \| 10 \| dodge \| 130 \| None \| 192 \| $107,050 row 11 : 12 \| 30 \| kasey kahne \| 9 \| dodge \| 132 \| 5 \| 192 \| $138,891 row 12 : 13 \| 34 \| jeff green \| 66 \| chevrolet \| 129 \| 5 \| 192 \| $120,933 row 13 : 14 \| 17 \| matt kenseth \| 17 \| ford \| 126 \| 5 \| 192 \| $137,641 row 14 : 17 \| 10 \| david ragan \| 6 \| ford \| 117 \| 5 \| 192 \| $127,100 row 15 : 19 \| 31 \| j.j. yeley \| 18 \| chevrolet \| 106 \| None \| 192 \| $116,033 row 16 : 20 \| 35 \| bobby labonte \| 43 \| dodge \| 103 \| None \| 192 \| $127,111 row 17 : 21 \| 3 \| denny hamlin \| 11 \| chevrolet \| 105 \| 5 \| 192 \| $102,550 row 18 : 23 \| 18 \| jeremy mayfield \| 36 \| toyota \| 94 \| None \| 192 \| $83,075 row 19 : 25 \| 29 \| reed sorenson \| 41 \| dodge \| 88 \| None \| 192 \| $101,947 row 20 : 27 \| 11 \| boris said \| 160 \| ford \| 87 \| 5 \| 191 \| $80,775 row 21 : 28 \| 32 \| tony stewart \| 20 \| chevrolet \| 84 \| 5 \| 190 \| $127,761 row 22 : 30 \| 21 \| johnny sauter \| 70 \| chevrolet \| 73 \| None \| 190 \| $79,325 row 23 : 32 \| 14 \| david reutimann \| 0 \| toyota \| 67 \| None \| 184 \| $78,525 row 24 : 34 \| 42 \| jeff burton \| 31 \| chevrolet \| 66 \| 5 \| 151 \| $118,266 row 25 : 37 \| 13 \| kyle busch \| 5 \| chevrolet \| 52 \| None \| 130 \| $95,800 row 26 : 38 \| 33 \| joe nemechek \| 13 \| chevrolet \| 49 \| None \| 130 \| $77,450 row 27 : 39 \| 7 \| casey mears \| 25 \| chevrolet \| 51 \| 5 \| 124 \| $85,250 row 28 : 40 \| 43 \| dale jarrett \| 44 \| toyota \| 43 \| None \| 38 \| $77,000 ] Execute this SQL based on the above table: select count ( make ) where driver = '23'	0
[ header: game \| date \| opponent \| venue \| result \| attendance \| goalscorers row 1 : 1 \| 19 august 1978 \| hereford united \| away \| 0-0 \| 5674 \| None row 2 : 3 \| 26 august 1978 \| reading \| away \| 0-2 \| 4788 \| None row 3 : 5 \| 9 september 1978 \| wimbledon \| away \| 1-2 \| 3217 \| corrigan row 4 : 6 \| 13 september 1978 \| rochdale \| home \| 3-0 \| 5746 \| wright, corrigan, hinn row 5 : 8 \| 23 september 1978 \| york city \| away \| 1-0 \| 3307 \| gore row 6 : 10 \| 30 september 1978 \| scunthorpe united \| home \| 1-0 \| 4459 \| brownbill row 7 : 12 \| 14 october 1978 \| doncaster rovers \| home \| 1-0 \| 5788 \| ward row 8 : 13 \| 18 october 1978 \| halifax town \| home \| 1-0 \| 5216 \| hinnigan row 9 : 14 \| 21 october 1978 \| barnsley \| away \| 0-0 \| 9841 \| None row 10 : 16 \| 3 november 1978 \| stockport county \| away \| 1-0 \| 8357 \| hinnigan row 11 : 20 \| 16 december 1978 \| halifax town \| away \| 2-1 \| 2437 \| moore, purdie row 12 : 21 \| 26 december 1978 \| crewe alexandra \| home \| 1-0 \| 7586 \| houghton row 13 : 22 \| 30 december 1978 \| aldershot \| home \| 3-2 \| 7289 \| moore, houghton (2) row 14 : 23 \| 9 january 1979 \| port vale \| away \| 1-2 \| 3744 \| wright (pen.) row 15 : 24 \| 3 february 1979 \| portsmouth \| home \| 2-0 \| 8289 \| wright, corrigan row 16 : 25 \| 14 february 1979 \| wimbledon \| home \| 1-2 \| 6704 \| purdie (pen.) row 17 : 26 \| 17 february 1979 \| huddersfield town \| home \| 2-1 \| 7420 \| ward (2) row 18 : 27 \| 24 february 1979 \| doncaster rovers \| away \| 1-0 \| 4612 \| wright row 19 : 28 \| 28 february 1979 \| york city \| home \| 1-1 \| 5896 \| houghton row 20 : 29 \| 3 march 1979 \| barnsley \| home \| 1-1 \| 9427 \| wright row 21 : 30 \| 10 march 1979 \| northampton town \| away \| 4-2 \| 2275 \| brownbill (2), purdie, corrig row 22 : 32 \| 17 march 1979 \| stockport county \| home \| 2-0 \| 7610 \| wright, smart row 23 : 33 \| 19 march 1979 \| rochdale \| away \| 2-0 \| 3621 \| purdie, moore row 24 : 34 \| 24 march 1979 \| grimsby town \| away \| 1-3 \| 8252 \| wigginton (o.g.) row 25 : 36 \| 31 march 1979 \| bournemouth \| home \| 1-0 \| 5527 \| houghton row 26 : 37 \| 3 april 1979 \| hartlepool united \| away \| 1-1 \| 2081 \| houghton row 27 : 41 \| 16 april 1979 \| hartlepool united \| home \| 2-2 \| 8217 \| wright, purdie row 28 : 42 \| 21 april 1979 \| aldershot \| away \| 0-1 \| 5466 \| None row 29 : 43 \| 28 april 1979 \| darlington \| home \| 2-2 \| 6153 \| moore, brownbill row 30 : 44 \| 1 may 1979 \| scunthorpe united \| away \| 1-0 \| 1582 \| gore row 31 : 45 \| 5 may 1979 \| bournemouth \| away \| 1-2 \| 3063 \| purdie row 32 : 46 \| 7 may 1979 \| bradford city \| away \| 1-1 \| 3748 \| moore ] Execute this SQL based on the above table: select venue where venue in ( 'away' , 'home' ) and result = '1-1'	home, home, away, away
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select max ( rank )	20.0
[ header: name \| founded \| defunct \| country \| publisher \| topics \| external link row 1 : amiga active \| 1999 \| 2001 \| united kingdom \| pinprint publishing \| amiga magazine with cu amiga staff \| None row 2 : amiga power \| 1991 \| 1996 \| united kingdom \| future publishing \| amiga games magazine \| None row 3 : amiga user international \| 1988 \| 1997 \| europe \| aui limited \| amiga magazine later published by aui limited \| None row 4 : atari age \| 1982 \| 1984 \| united states \| None \| atari related topics \| None row 5 : atari st user \| 1987 \| 1994 \| united kingdom \| database publications ltd.(later \| atari st magazine with hardware focus; \| None row 6 : bgamer \| 1998 \| None \| portugal \| goody, sa \| general video gaming, hardware \| http://www.bgamer.pt row 7 : commodore force \| 1993 \| 1994 \| united kingdom \| europress impact \| commodore 64 games; originally named \| None row 8 : computer and video games \| 1981 \| 2004 \| united kingdom \| future publishing \| home computing, arcade games, video games \| http://computerandvideogames.com row 9 : computing with the amstrad \| 1985 \| 1988 \| united kingdom, australia \| database publications \| computing with the amstrad or cw \| None row 10 : electronic fun with computers & games \| 1982 \| 1984 \| united states \| fun & games publishing inc \| video, computer and arcade games \| None row 11 : expert gamer \| 1998 \| 2001 \| united states \| None \| the bulk of xg's content was \| None row 12 : gamepro \| 1989 \| 2011 \| united states \| None \| general video gaming \| http://www.gamepro.com row 13 : meeveo \| 2013 \| None \| germany \| None \| news and information about games and hardware \| http://www.meeveo.e row 14 : nintendo la rivista \| 2002 \| None \| italy \| None \| italian nintendo related topics \| None row 15 : nintendo power \| 1988 \| 2012 \| united states \| None \| None \| http://www.nintendopower. row 16 : official dreamcast magazine (uk) \| 1999 \| 2001 \| united kingdom \| None \| uk dreamcast related topics \| None row 17 : pc games \| 1992 \| None \| germany \| None \| pc games \| http://www.pcgames.de row 18 : pelit \| 1992 \| None \| finland \| None \| the oldest and most popular videogame magazine of \| http://www.pelit.fi row 19 : pnm (pure ninte \| 2011 \| None \| united states \| magcloud/pure media llc \| all things nintendo related \| http://purenintendo.com/ row 20 : skoar! \| 2003 \| None \| india \| jasubhai digital media pvt \| an indian game magazine \| http://skoar.thinkdigit.com/ row 21 : thirteen1 \| 2008 \| None \| united kingdom \| t1 publishing ltd \| a free online-based game magazine \| http://www.thirteen1.com/ row 22 : your sinclair \| 1986 \| 1993 \| united kingdom \| future publishing \| sinclair spectrum \| http://www.ysrnry. row 23 : your spectrum \| 1984 \| 1985 \| united kingdom \| sportscene specialist press \| sinclair spectrum \| http://www.users.globalnet ] Execute this SQL based on the above table: select avg ( founded )	1993.5217391304348
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select pos order by laps desc limit 1	1
[ header: year \| single \| peak chart positions fin \| peak chart positions nor \| peak chart positions swe \| album row 1 : 1994 \| "together" \| None \| None \| None \| finally row 2 : 1994 \| "in your dreams" \| None \| None \| None \| finally row 3 : 1995 \| "mirror, mirror" \| None \| 6 \| None \| finally row 4 : 1995 \| "stars in the night" \| None \| None \| None \| finally row 5 : 1996 \| "you never know" \| 12 \| 4 \| None \| finally row 6 : 1996 \| "let it all be sunshine" \| 13 \| None \| None \| finally row 7 : 1997 \| "all my life" \| None \| None \| None \| finally row 8 : 1997 \| "fly to be free" \| None \| None \| None \| finally row 9 : 1998 \| "come'n get me" \| 6 \| None \| None \| the take off row 10 : 1998 \| "sunny holiday" \| None \| None \| None \| the take off row 11 : 1999 \| "ticket to fly" \| None \| None \| 48 \| the take off row 12 : 1999 \| "once you pop (you can't stop \| None \| None \| None \| express row 13 : 1999 \| "this is how we do it" \| None \| None \| None \| express row 14 : 2000 \| "push it" \| None \| None \| 53 \| express row 15 : 2000 \| "sha la long" \| None \| None \| None \| express row 16 : 2000 \| "come on everybody" \| None \| None \| None \| express row 17 : 2001 \| "i like it" \| None \| None \| None \| in action ] Execute this SQL based on the above table: select single where single = '"you never know"'	"you never know"
[ header: outcome \| edition \| round \| opponent team \| surface \| opponent \| score row 1 : loser \| 2010 \| world group playoffs \| slovakia \| clay (i) \| daniela hantuchova \| 6-2, 6-2 row 2 : winner \| 2010 \| world group playoffs \| slovakia \| clay (i) \| magdalena rybarikova \| 6-1, 7-6(7-4) row 3 : winner \| 2011 \| world group ii \| canada \| hard (i) \| aleksandra wozniak \| 6-4, 7-5 row 4 : winner \| 2011 \| world group ii \| canada \| hard (i) \| rebecca marino \| 7-6(7-3), 6-3 row 5 : loser \| 2011 \| world group playoffs \| slovakia \| clay (i) \| dominika cibulkova \| 6-4, 3-6, 1-6 row 6 : loser \| 2012 \| world group \| belgium \| hard (i) \| yanina wickmayer \| 4-6, 4-6 row 7 : winner \| 2012 \| world group \| belgium \| hard (i) \| kirsten flipkens \| 6-2, 6-4 ] Execute this SQL based on the above table: select score group by score order by count ( * ) desc limit 1	7-6(7-3), 6-3
[ header: representative \| state \| district(s) \| served \| party \| date of birth \| date of death \| age row 1 : william r. poage \| texas \| 11 \| 1937-1978 \| democratic \| december 29, 1899 \| january 3, 1987 \| 87 years, 5 days row 2 : aubert c. dunn \| mississippi \| 5 \| 1935-1937 \| democratic \| november 20, 1896 \| january 4, 1987 \| 90 years, 45 days row 3 : charles goodell \| new york \| 43, 38 \| 1959-1968 \| republican \| march 16, 1926 \| january 21, 1987 \| 60 years, 311 days row 4 : sala burton \| california \| 5 \| 1983-1987 \| democratic \| april 1, 1925 \| february 1, 1987 \| 61 years, 306 days row 5 : tim l. carter \| kentucky \| 5 \| 1965-1981 \| republican \| september 2, 1910 \| march 27, 1987 \| 76 years, 206 days row 6 : james g. donovan \| new york \| 18 \| 1951-1957 \| democratic \| december 15, 1898 \| april 6, 1987 \| 88 years, 112 days row 7 : edith green \| oregon \| 3 \| 1955-1974 \| democratic \| january 17, 1910 \| april 21, 1987 \| 77 years, 94 days row 8 : stewart mckinney \| connecticut \| 4 \| 1971-1987 \| republican \| january 30, 1931 \| may 7, 1987 \| 56 years, 97 days row 9 : james j. delaney \| new york \| 6, 7, 9 \| 1945-1947, 1949-1978 \| democratic \| march 19, 1901 \| may 24, 1987 \| 86 years, 66 days row 10 : frank carlson \| kansas \| 6 \| 1935-1947 \| republican \| january 23, 1893 \| may 30, 1987 \| 94 years, 127 days row 11 : alvin o'konski \| wisconsin \| 10 \| 1943-1973 \| republican \| may 26, 1904 \| july 8, 1987 \| 83 years, 43 days row 12 : dominick v. daniels \| new jersey \| 14 \| 1959-1977 \| democratic \| october 18, 1908 \| july 17, 1987 \| 78 years, 272 days row 13 : harold r. gross \| iowa \| 6 \| 1949-1975 \| republican \| june 30, 1899 \| september 22, 1987 \| 88 years, 84 days row 14 : john n. camp \| oklahoma \| 6 \| 1969-1975 \| republican \| may 11, 1908 \| september 27, 1987 \| 79 years, 139 days row 15 : ray j. madden \| indiana \| 1 \| 1943-1977 \| democratic \| february 25, 1892 \| september 28, 1987 \| 95 years, 215 days row 16 : raymond w. karst \| missouri \| 12 \| 1949-1951 \| democratic \| december 31, 1902 \| october 4, 1987 \| 84 years, 277 days row 17 : charles j. carney \| ohio \| 19 \| 1970-1979 \| republican \| april 17, 1913 \| october 7, 1987 \| 74 years, 173 days row 18 : clare boothe luce \| connecticut \| 4 \| 1943-1947 \| republican \| march 10, 1903 \| october 9, 1987 \| 84 years, 213 days row 19 : harold washington \| illinois \| 1 \| 1981-1983 \| democratic \| april 15, 1922 \| november 25, 1987 \| 65 years, 224 days row 20 : abraham kazen \| texas \| 23 \| 1967-1985 \| democratic \| january 17, 1919 \| november 29, 1987 \| 68 years, 316 days row 21 : albert p. morano \| connecticut \| 4 \| 1951-1959 \| republican \| january 18, 1908 \| december 16, 1987 \| 79 years, 332 days ] Execute this SQL based on the above table: select state where age = ( select age where state = 'california' ) - 1	new york
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select position where year = ( select year where position = '5th' ) + 1	9th (sf), 8th (sf)
[ header: year \| title \| peak chart positions ger \| label \| artist row 1 : 1981 \| savoir faire \| None \| capitol \| mink deville row 2 : 1993 \| spanish stroll 1977-1987 \| None \| disky, raven \| mink deville row 3 : 1995 \| les inoubliables de willy deville \| None \| wagram \| willy deville row 4 : 1996 \| love & emotion: the atlantic years \| 54 \| atlantic \| mink deville row 5 : 1996 \| mink/willy deville greatest hits \| None \| emi \| mink deville row 6 : 1996 \| spanish stroll \| None \| disky \| mink deville row 7 : 1996 \| best of willy deville \| None \| arcade \| willy deville row 8 : 1997 \| his greatest hits \| None \| arcade \| mink deville row 9 : 1997 \| premium gold collection \| None \| emi \| mink deville row 10 : 1997 \| the best of mink deville \| None \| emi \| mink deville row 11 : 1999 \| collection legende \| None \| wagram \| willy deville row 12 : 2001 \| cadillac walk: the mink de \| None \| capitol \| mink deville row 13 : 2003 \| greatest hits \| None \| emi \| mink deville row 14 : 2005 \| mink deville \| None \| disky \| mink deville row 15 : 2009 \| introducing willy deville \| None \| edel \| willy deville ] Execute this SQL based on the above table: select count ( artist ) where year = 1997	3
[ header: season \| level \| division \| section \| position \| movements row 1 : 1999 \| tier 5 \| division 4 \| gotland \| 6th \| varserier (spring series) row 2 : None \| tier 5 \| division 4 \| gotland \| 5th \| hostserier (autumn series) row 3 : 2000 \| tier 5 \| division 4 \| gotland \| 2nd \| varserier (spring series) row 4 : None \| tier 5 \| division 4 \| uppland/gotland host \| 10th \| hostserier (autumn series) row 5 : 2001 \| tier 5 \| division 4 \| gotland \| 4th \| varserier (spring series) row 6 : None \| tier 5 \| division 4 \| gotland \| 4th \| slutspel a ( row 7 : 2002 \| tier 5 \| division 4 \| gotland \| 3rd \| promotion playoffs row 8 : 2003 \| tier 5 \| division 4 \| gotland \| 6th \| None row 9 : 2004 \| tier 5 \| division 4 \| gotland \| 4th \| None row 10 : 2005 \| tier 5 \| division 4 \| gotland \| 1st \| None row 11 : 2006 \| tier 5 \| division 3 \| ostra svealand \| 12th \| relegated row 12 : 2007 \| tier 6 \| division 4 \| gotland \| 2nd \| None row 13 : 2008 \| tier 6 \| division 4 \| gotland \| 3rd \| None row 14 : 2009 \| tier 6 \| division 4 \| gotland \| 7th \| None row 15 : 2010 \| tier 6 \| division 4 \| gotland \| 2nd \| None row 16 : 2011 \| tier 6 \| division 4 \| gotland \| 4th \| None ] Execute this SQL based on the above table: select count ( movements ) where movements = 'None'	0
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : win \| 12-3 \| mike hayes \| ko (punch) \| ksw 25: khali \| december 7, 2013 \| 1 \| 1:12 \| wrocław, poland \| None row 2 : win \| 11-3 \| nick moghadden \| tko (punches) \| bellator 99 \| september 13, 2013 \| 1 \| 3:22 \| temecula, california \| bellator debut row 3 : loss \| 10-3 \| guto inocente \| decision (unanimous) \| strikeforce: barnett vs. cor \| may 19, 2012 \| 3 \| 5:00 \| san jose, californ \| light heavyweight debut row 4 : win \| 10-2 \| brett albee \| tko (strikes) \| strikeforce: diaz vs. \| april 9, 2011 \| 1 \| 1:46 \| san diego, californ \| None row 5 : loss \| 9-2 \| lavar johnson \| ko (punches) \| strikeforce challengers: bowling v \| october 22, 2010 \| 1 \| 2:17 \| fresno, californ \| None row 6 : win \| 9-1 \| eddie sapp \| submission (rear-naked choke) \| native fighting championship 6 \| august 14, 2010 \| 1 \| 2:01 \| campo, california, \| None row 7 : loss \| 8-1 \| cody goodale \| decision (unanimous) \| gladiator challenge: maximum force \| april 25, 2010 \| 3 \| 5:00 \| san jacinto, cali \| None row 8 : win \| 8-0 \| ovince st. preux \| tko (punches) \| top combat championship 1 \| september 26, 2009 \| 2 \| 0:46 \| san juan, puerto \| None row 9 : win \| 7-0 \| william richey \| decision (unanimous) \| called out mma 1 \| august 15, 2009 \| 3 \| 5:00 \| ontario, california \| None row 10 : win \| 6-0 \| buckley acosta \| tko (punches) \| gladiator challenge: venom \| april 23, 2009 \| 1 \| 2:59 \| pauma valley, californi \| None row 11 : win \| 5-0 \| dave diaz \| submission \| gc 85: cross fire \| october 25, 2008 \| 1 \| 1:41 \| san diego, californ \| None row 12 : win \| 4-0 \| abraham ramirez \| tko (punches) \| apocalypse fights \| august 7, 2008 \| 1 \| None \| None \| None row 13 : win \| 3-0 \| ty montgomery \| tko (punches) \| galaxy productions \| august 24, 2007 \| 1 \| 0:41 \| california, united states \| None row 14 : win \| 2-0 \| tom hubert \| tko (doctor stoppage \| total combat 10 \| october 15, 2005 \| 2 \| 1:54 \| san diego, californ \| None row 15 : win \| 1-0 \| denis hall \| tko (punches) \| cff: cobra classic 9 \| april 16, 2003 \| 1 \| 0:58 \| anza, california, \| None ] Execute this SQL based on the above table: select date group by date order by count ( round ) limit 1	5
[ header: \| year \| city \| country \| date \| venue \| no. of events \| no. of athletes row 1 : 1st \| 2000 \| monterrey \| mexico \| august 3-5 \| universidad autonoma de nuevo \| 45 \| 184 row 2 : 2nd \| 2002 \| san antonio \| united states \| august 9-11 \| e.m. stevens stadium \| 45 \| 245 row 3 : 3rd \| 2004 \| sherbrooke \| canada \| july 30 - august 1 \| universite de sherbrooke stadium \| 42 \| 243 row 4 : 4th \| 2006 \| santo domingo \| dominican republic \| july 7-9 \| estadio felix san \| 44 \| 373 row 5 : 5th \| 2008 \| toluca \| mexico \| july 18-20 \| estadio universitario alber \| 44 \| None row 6 : 6th \| 2010 \| miramar \| united states \| july 9-11 \| ansin sports complex \| 44 \| None row 7 : 7th \| 2012 \| irapuato \| mexico \| july 6-8 \| centro paralimpico nacional \| 44 \| None row 8 : 8th \| 2014 \| kamloops \| canada \| august 8-10 \| hillside stadium \| None \| None ] Execute this SQL based on the above table: select where != '3rd' and country = ( select country where = '3rd' )	8th
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 4 \| may 21, 1978 \| coca-cola classic \| -3 (69-71-70=210 \| playoff \| joanne carner row 2 : 8 \| aug 6, 1978 \| colgate european open \| -7 (73-71-72-73 \| 3 strokes \| joanne carner, mary d row 3 : 9 \| nov 12, 1978 \| colgate far east open \| e (75-69-72=216 \| 2 strokes \| silvia bertolaccini, row 4 : 11 \| mar 25, 1979 \| sahara national pro-am \| -16 (72-67-66-69 \| 2 strokes \| donna caponi row 5 : 17 \| sep 30, 1979 \| mary kay classic \| -14 (71-66-67-70 \| 2 strokes \| sandra post row 6 : 18 \| mar 30, 1980 \| women's kemper open \| e (72-66-77-69 \| 2 strokes \| debbie massey, jo an row 7 : 19 \| jun 29, 1980 \| the sarah coventry \| -9 (73-67-72-71 \| 1 stroke \| pat bradley row 8 : 20 \| sep 1, 1980 \| rail charity golf classic \| -13 (65-71-71-68 \| 1 stroke \| joanne carner row 9 : 21 \| mar 8, 1981 \| arizona copper classic \| -14 (70-72-68-68 \| 4 strokes \| pat bradley row 10 : 22 \| apr 5, 1981 \| colgate-dinah shore \| -11 (71-73-69-64 \| 2 strokes \| carolyn hill row 11 : 28 \| mar 4, 1984 \| uniden lpga invitational \| e (70-74-66-74=28 \| 3 strokes \| pat bradley row 12 : 29 \| aug 19, 1984 \| chevrolet world championship of women' \| -7 (69-74-65-73=28 \| 1 stroke \| joanne carner row 13 : 30 \| may 19, 1985 \| chrysler-plymouth classic \| -9 (69-69-72=210 \| 3 strokes \| pat bradley row 14 : 32 \| jul 7, 1985 \| mazda hall of fame championship \| -7 (71-70-72-68 \| 3 strokes \| joanne carner, allison fin row 15 : 36 \| sep 13, 1987 \| cellular one-ping golf championship \| -6 (72-67-71=210 \| 1 stroke \| kelly leadbetter, muffin s row 16 : 39 \| may 15, 1988 \| chrysler-plymouth classic \| -12 (68-70-66=204 \| 8 strokes \| jan stephenson row 17 : 42 \| sep 24, 1989 \| nippon travel-mbs classic \| -11 (73-69-65-70 \| 2 strokes \| alice ritzman, pamela row 18 : 43 \| sep 23, 1990 \| mbs lpga classic \| -7 (69-70-74-68 \| playoff \| cathy gerring row 19 : 44 \| may 5, 1991 \| sara lee classic \| -10 (65-70-71=206) \| 2 strokes \| kris monaghan row 20 : 47 \| jul 11, 1993 \| youngstown-warren lpg \| -13 (68-68-67=203 \| playoff \| deb richard ] Execute this SQL based on the above table: select runner(s)-up where id = 39	jan stephenson
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents \| score row 1 : winner \| 1 \| april 18, 2004 \| jackson, united states \| clay \| alisa kleybanova \| cory ann avants kristen \| 6-2, 6-3 row 2 : runner-up \| 1 \| september 26, 2004 \| albuquerque, united states \| hard \| maria emilia salern \| maureen drake carly gul \| 3-6, 6-7(6-8) row 3 : winner \| 2 \| march 27, 2005 \| redding, united states \| hard \| yulia beygelzimer \| leanne baker francesca lub \| 6-4, 6-7(1-7), row 4 : runner-up \| 2 \| may 8, 2005 \| raleigh, united states \| clay \| maria fernanda alves \| ashley harkleroad lindsay \| 2-6, 6-0, 3-6 row 5 : runner-up \| 3 \| march 19, 2006 \| orange, united states \| hard \| lilia osterloh \| kateryna bondarenko alon \| 2-6, 4-6 row 6 : winner \| 3 \| november 12, 2006 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| ashley harkleroad galina \| 6-4, 5-7, 6-1 row 7 : runner-up \| 4 \| february 11, 2007 \| midland, united states \| hard (i) \| maureen drake \| laura granville abigail spears \| 4-6, 6-3, 3-6 row 8 : runner-up \| 5 \| july 7, 2007 \| southlake, united states \| hard \| valerie tetreault \| surina de beer kim grant \| 6-4, 4-6, 4-6 row 9 : winner \| 4 \| july 22, 2007 \| hamilton, canada \| clay \| surina de beer \| michaela johansson pa \| walkover row 10 : winner \| 5 \| august 4, 2007 \| vancouver, canada \| hard \| marie-eve pelletier \| soledad esperon agustin \| 6-4, 6-4 row 11 : winner \| 6 \| october 21, 2007 \| lawrenceville, united states \| hard \| alisa kleybanova \| leanne baker julie ditty \| 6-2, 6-0 row 12 : winner \| 7 \| november 12, 2007 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| raquel kops-jones \| 6-4, 4-6, [10-6] row 13 : runner-up \| 6 \| april 27, 2008 \| dothan, united states \| clay \| maria fernanda alves \| tetiana luzhan \| 1-6, 3-6 row 14 : winner \| 8 \| october 18, 2008 \| toronto, canada \| hard (i) \| marie-eve pelletier \| nikola frankova carmen \| 6-4, 6-2 row 15 : runner-up \| 7 \| september 27, 2009 \| saguenay, canada \| hard (i) \| rebecca marino \| sofia arvidsson s \| 3-6, 1-6 row 16 : runner-up \| 8 \| april 13, 2013 \| poza rica, mexico \| hard \| olga savch \| maria fernanda alvarez \| 2-6, 3-6 ] Execute this SQL based on the above table: select no. where outcome = 'runner-up'	1, 2, 3, 4, 5, 6, 7, 8
[ header: year \| title \| role \| notes row 1 : 1991 \| they came from outer space \| mrs. morley \| episode: "hair today, gone tomorrow" row 2 : 1991 \| parker lewis can't lose \| melinda \| episode: "love handles" row 3 : 1991 \| married... with children \| jill \| episode: "if al had a ham row 4 : 1992 \| married... with children \| kara \| episode: "the mystery of skull island" row 5 : 1992 \| matlock \| lisa loomis \| episode: "the big payoff" row 6 : 1992 \| silk stalkings \| tessa shaver \| episode: "goodtime charlie" row 7 : 1992 \| dark justice \| lucy \| episode: "a better mousetrap" row 8 : 1992 \| baywatch \| lifeguard \| episode: "war of nerves" row 9 : 1993 \| the cover girl murders \| hetty barnett \| movie row 10 : 1994 \| red shoe diaries \| luscious lola \| episode: "luscious lola" row 11 : 1994 \| honor thy father and mother: the true \| jamie pisarcik \| movie row 12 : 1994 \| fortune hunter \| kelly owen \| episode: "stowaway" row 13 : 1994 \| baywatch \| kim \| episode: "red wind" row 14 : 1995 \| pointman \| brenner \| episode: "models" row 15 : 1995 \| the watcher \| lori danforth \| 8 episodes row 16 : 1995-96 \| murder one \| julie costello \| 15 episodes row 17 : 1996 \| the x-files \| dr. bambi berenbaum \| episode: "war of the coprophages row 18 : 1996 \| boy meets world \| louanne \| episode: "i never sang for my legal guard row 19 : 1996-97 \| the cape \| navy pilot lt. cmdr. \| 17 episodes row 20 : 1997 \| stargate sg-1 \| kynthia \| episode: "brief candle" row 21 : 1998 \| house rules \| dr. chris cavan \| episode: "riley's new job" row 22 : 1998 \| chameleon \| kam \| movie row 23 : 1998 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 24 : 1999 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 25 : 1999 \| chameleon ii: death match \| kam \| movie row 26 : 1999 \| the magnificent seven \| None \| episode: "wagon train: part 1" row 27 : 1999 \| the crow: stairway to heaven \| hannah foster / talon \| episode: "birds of a feather" row 28 : 1999 \| the strip \| lilly briscoe \| episode: "winner takes it all" row 29 : 2000 \| two guys and a girl \| shawn \| episode: "another moving script" row 30 : 2000 \| hustle \| maya / corinna \| m<vie row 31 : 2000 \| chameleon 3: dark angel \| kam \| movie row 32 : 2001 \| seven days \| raven \| episode: "raven" row 33 : 2001 \| dharma & greg \| anna \| episode: "dream a little dream of her ] Execute this SQL based on the above table: select ( select count ( * ) where role > title and year = 1999 ) > 1095	0
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| sebastien loeb \| daniel elena \| citroen c4 wr \| 3:59:18.9 \| 0 \| 10 row 2 : 2 \| dani sordo \| marc marti \| citroen c4 wr \| 3:59;36.4 \| 17.5 \| 8 row 3 : 3 \| mikko hirvonen \| jarmo lehtinen \| ford focus rs wrc \| 4:00:00.4 \| 41.5 \| 6 row 4 : 4 \| petter solberg \| phil mills \| subaru impreza wrc \| 4:02:07.8 \| 2:48.9 \| 5 row 5 : 5 \| urmo aava \| kuldar sikk \| citroen c4 wr \| 4:02:49.6 \| 3:30.7 \| 4 row 6 : 6 \| pg andersson \| jonas andersson \| suzuki sx4 wr \| 4:06:56.3 \| 7:37.4 \| 3 row 7 : 7 \| toni gardemeister \| tomi tuominen \| suzuki sx4 wr \| 4:07:13.8 \| 7:54.9 \| 2 row 8 : 8 \| federico villagra \| jorge perez companc \| ford focus rs wrc \| 4:07:53.9 \| 8:35.0 \| 1 row 9 : 1. (10.) \| martin prokop \| jan tomanek \| mitsubishi lancer evo ix \| 4:13:07.9 \| 0 \| 10 row 10 : 2. (11.) \| patrik sandell \| emil axelsson \| mitsubishi lancer evo ix \| 4:13:44.1 \| 36.2 \| 8 row 11 : 3. (12.) \| martin rauam \| silver kutt \| mitsubishi lancer evo ix \| 4:14:05.7 \| 57.8 \| 6 ] Execute this SQL based on the above table: select driver order by id desc limit 1	martin rauam
[ header: year \| men \| sport \| women \| sport \| team \| sport \| promising talent \| sport \| paralympic \| sport \| coach \| sport row 1 : 2009 \| philippe gilbert \| cycling \| kim clijsters (6) \| tennis \| men's 4×400 metres relay \| athletics \| romelu lukaku \| football \| None \| None \| None \| None row 2 : 2008 \| sven nys \| cyclo-cross \| tia hellebaut \| athletics \| women's 4×100 metres relay (3) \| athletics \| elise matthysen \| swimming \| None \| None \| None \| None row 3 : 2006 \| stefan everts (5) \| motorcross \| justine henin-hardenne (3) \| tennis \| belgium fed cup team (2) \| tennis \| yoris grandjean \| swimming \| None \| None \| None \| None row 4 : 2000 \| joel smets \| motorcross \| kim clijsters (2) \| tennis \| rsc anderlecht \| football \| bart aernouts \| cyclo-cross \| None \| None \| None \| None row 5 : 1997 \| luc van lierde \| triathlon \| gella vandecaveye (2) \| judo \| noliko maaseik \| volleyball \| None \| None \| None \| None \| None \| None row 6 : 1996 \| fred deburghgraeve (2) \| swimming \| ulla werbrouck \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 7 : 1992 \| georges jobe (2) \| motorcross \| annelies bredael \| rowing \| None \| None \| None \| None \| None \| None \| None \| None row 8 : 1989 \| thierry boutsen \| motorsport \| ingrid berghmans (8) \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 9 : 1987 \| georges jobe \| motorcross \| ingrid lempereur \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 10 : 1985 \| gaston rahier vincent rous \| motorcross athletics \| ingrid berghmans (5) \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 1983 \| eddy annys \| athletics \| ingrid berghmans (3) \| judo \| None \| None \| None \| None \| None \| None \| None \| None row 12 : 1981 \| freddy maertens \| cycling \| annie lambrechts \| roller skating \| None \| None \| None \| None \| None \| None \| None \| None row 13 : 1979 \| robert van de walle \| judo \| carine verbauwen (3) \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 14 : 1978 \| raymond ceulemans \| billiards \| carine verbauwen (2) \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 15 : 1977 \| michel pollentier \| cycling \| anne-marie pira (2) \| athletics \| None \| None \| None \| None \| None \| None \| None \| None row 16 : 1975 \| bruno brokken \| athletics \| carine verbauwen \| swimming \| None \| None \| None \| None \| None \| None \| None \| None row 17 : 1973 \| eddy merckx (5) \| cycling \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 18 : 1971 \| eddy merckx (3) \| cycling \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select sport where year >= 5	football, swimming, swimming, cyclo-cross
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1972 \| stockholm, sweden \| hard (i) \| roy emerson \| tom okker marty ries \| 5-7, 6-7 row 2 : runner-up \| 2 \| 1973 \| miami wct, us \| hard \| terry addison \| roy emerson rod laver \| 4-6, 4-6 row 3 : runner-up \| 3 \| 1973 \| richmond wct, us \| carpet \| terry addison \| roy emerson rod laver \| 6-3, 3-6, 4-6 row 4 : runner-up \| 4 \| 1973 \| st. louis, us \| carpet \| terry addison \| ove nils bengtson \| 2-6, 5-7 row 5 : runner-up \| 5 \| 1973 \| columbus, us \| hard \| charles pasarell \| gerald battrick graham \| 4-6, 6-7 row 6 : winner \| 1 \| 1973 \| merion, us \| grass \| allan stone \| john austin fred m \| 7-6, 6-3 row 7 : winner \| 2 \| 1973 \| hong kong \| hard \| rod laver \| paul gerken brian gott \| 6-3, 5-7, 17-15 row 8 : winner \| 3 \| 1974 \| houston, us \| clay \| rod laver \| arthur ashe roscoe t \| 4-6, 7-6, 6-4 row 9 : runner-up \| 7 \| 1975 \| orlando wct, us \| hard \| ray ruffels \| brian gottfried raul \| 4-6, 4-6 row 10 : winner \| 6 \| 1976 \| palm springs, us \| hard \| sandy mayer \| raymond moore erik van \| 6-4, 6-7, 7-6 row 11 : winner \| 7 \| 1976 \| palma, spain \| clay \| john andrews \| mark edmondson john marks \| 2-6, 6-3, 6-2 row 12 : runner-up \| 8 \| 1976 \| madrid, spain \| clay \| john andrews \| carlos kirmayr eduard \| 6-7, 6-4, 6-8 row 13 : winner \| 9 \| 1977 \| little rock, us \| carpet \| haroon rahim \| bob hewitt frew \| 6-7, 6-3, 6-3 row 14 : winner \| 10 \| 1977 \| denver, us \| carpet \| geoff masters \| syd ball kim warwick \| 6-2, 6-3 row 15 : winner \| 11 \| 1977 \| south orange, us \| hard \| wojtek fibak \| ion tiriac guiller \| 6-1, 7-5 row 16 : runner-up \| 10 \| 1978 \| johannesburg, south africa \| hard \| geoff masters \| bob hewitt frew \| 5-7, 6-7 row 17 : runner-up \| 11 \| 1978 \| newport, us \| grass \| bob giltinan \| tim gullikson tom gul \| 4-6, 4-6 row 18 : winner \| 13 \| 1978 \| columbus, us \| clay \| bob giltinan \| marcello lara elio \| 6-2, 6-3 row 19 : runner-up \| 13 \| 1979 \| tulsa, us \| hard (i) \| tom gullikson \| francisco gonzalez e \| 7-6, 5-7, 3-6 row 20 : runner-up \| 14 \| 1979 \| stowe, us \| hard \| anand amritraj \| mike cahill steve k \| 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select opponents in the final where no. < 6 order by no. desc limit 1	gerald battrick graham stilwell
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select no where race = 'chicagoland arca 200'	17
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select count ( date listed ) where city or town = 'highland park'	1
[ 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 county where county = 'powell'	powell
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| asian junior championships \| bangkok, thailand \| 3rd \| 1.76 m row 2 : 2004 \| asian junior championships \| ipoh, malaysia \| 1st \| 1.84 m row 3 : 2004 \| world junior championships \| grosseto, italy \| 7th \| 1.84 m row 4 : 2005 \| universiade \| izmir, turkey \| 7th \| 1.80 m row 5 : 2005 \| asian championships \| incheon, south korea \| 3rd \| 1.84 m row 6 : 2005 \| asian indoor games \| bangkok, thailand \| 2nd \| 1.84 m row 7 : 2006 \| asian games \| doha, qatar \| 6th \| 1.84 m row 8 : 2007 \| asian championships \| amman, jordan \| 3rd \| 1.91 m row 9 : 2007 \| universiade \| bangkok, thailand \| 3rd \| 1.90 m row 10 : 2007 \| world championships \| osaka, japan \| 20th (q) \| 1.88 m row 11 : 2007 \| asian indoor games \| macau \| 3rd \| 1.88 m row 12 : 2008 \| asian indoor championships \| doha, qatar \| 2nd \| 1.91 m row 13 : 2009 \| universiade \| belgrade, serbia \| 14th (q) \| 1.80 m row 14 : 2010 \| asian indoor championships \| tehran, iran \| 2nd \| 1.86 m row 15 : 2010 \| world indoor championships \| istanbul, turkey \| 20th (q) \| 1.81 m row 16 : 2010 \| asian games \| guangzhou, china \| 3rd \| 1.90 m row 17 : 2011 \| asian championships \| kobe, japan \| 4th \| 1.85 m row 18 : 2011 \| universiade \| shenzhen, china \| 10th \| 1.84 m ] Execute this SQL based on the above table: select count ( * ) where venue = 'izmir, turkey'	1
[ header: pos \| team \| played \| won \| draw \| lost \| goals for \| goals against \| goal difference \| points \| notes row 1 : 1 \| fh \| 18 \| 14 \| 2 \| 2 \| 47 \| 20 \| 27 \| 44 \| promoted to 1989 urvalsdeild row 2 : 2 \| fylkir \| 18 \| 9 \| 6 \| 3 \| 39 \| 30 \| 9 \| 33 \| promoted to 1989 urvalsdeild row 3 : 3 \| viðir \| 18 \| 8 \| 3 \| 7 \| 38 \| 31 \| 7 \| 27 \| None row 4 : 4 \| ir \| 18 \| 8 \| 2 \| 8 \| 31 \| 35 \| -4 \| 26 \| None row 5 : 5 \| selfoss \| 18 \| 7 \| 4 \| 7 \| 27 \| 26 \| 1 \| 25 \| None row 6 : 6 \| tindastoll \| 18 \| 7 \| 2 \| 9 \| 27 \| 31 \| -4 \| 23 \| None row 7 : 7 \| breiðablik \| 18 \| 6 \| 5 \| 7 \| 27 \| 33 \| -6 \| 23 \| None row 8 : 8 \| ibv \| 18 \| 6 \| 2 \| 10 \| 29 \| 36 \| -7 \| 20 \| None row 9 : 9 \| ks \| 18 \| 5 \| 4 \| 9 \| 38 \| 46 \| -8 \| 19 \| relegated to 1989 2. deild row 10 : 10 \| þrottur r \| 18 \| 2 \| 6 \| 10 \| 27 \| 42 \| -15 \| 12 \| relegated to 1989 2. deild ] Execute this SQL based on the above table: select team where team = 'tindastoll'	tindastoll
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select count ( district ) where area (km2) = 1998	0
[ header: km \| municipality \| location \| interescting highway \| notes row 1 : 0 \| canada-united states border \| canada-united states border \| nd 18 - cavalier, \| pth 30 begins row 2 : 3 \| r.m. of rhine \| gretna \| pr 243 east - emerson \| begin pr 243 west concurrence row 3 : 5 \| r.m. of rhine \| None \| pr 243 west - blumenfeld \| end pr 243 west concurrence row 4 : 10 \| r.m. of rhine \| None \| pr 421 east - sommerfeld \| None row 5 : 14 \| r.m. of rhine \| altona \| pr 201 west - brown, windy \| begin pr 201 east concurrence row 6 : 18 \| r.m. of rhine \| None \| pr 201 east - letellier, \| end pr 201 east concurrence row 7 : 25 \| r.m. of rhine \| rosenfeld \| pth 14 - morden, win \| pth 30 ends highway continues as pr 3 ] Execute this SQL based on the above table: select notes order by km desc limit 1	pth 30 ends highway continues as pr 332
[ header: state \| swimsuit \| interview \| evening gown \| average \| finalists row 1 : iowa \| 9.267 \| 9.651 \| 9.620 \| 9.513 \| 9.800 row 2 : oklahoma \| 9.226 \| 9.309 \| 9.487 \| 9.341 \| 9.586 row 3 : kansas \| 9.221 \| 9.600 \| 9.600 \| 9.474 \| 9.486 row 4 : alabama \| 9.010 \| 9.326 \| 9.449 \| 9.262 \| 9.471 row 5 : north carolina \| 9.079 \| 9.207 \| 9.500 \| 9.262 \| 9.414 row 6 : california \| 9.340 \| 9.514 \| 9.486 \| 9.447 \| 9.400 row 7 : rhode island \| 9.087 \| 9.279 \| 9.341 \| 9.235 \| None row 8 : maryland \| 9.021 \| 9.206 \| 9.271 \| 9.166 \| None row 9 : indiana \| 8.966 \| 9.103 \| 9.370 \| 9.146 \| None row 10 : virginia \| 8.984 \| 9.112 \| 9.279 \| 9.125 \| None row 11 : mississippi \| 8.917 \| 9.200 \| 9.247 \| 9.121 \| None row 12 : illinois \| 8.897 \| 8.969 \| 9.286 \| 9.050 \| None ] Execute this SQL based on the above table: select interview where state > ( select state where interview = '9.279' ) order by state limit 1	9.112
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 7 \| 4 \| 3 \| 14 row 2 : 2 \| bolivia \| 2 \| 2 \| 2 \| 6 row 3 : 2 \| chile \| 2 \| 2 \| 2 \| 6 row 4 : 4 \| peru \| 1 \| 3 \| 3 \| 7 row 5 : 5 \| ecuador \| 1 \| 1 \| 1 \| 3 row 6 : 6 \| colombia \| 0 \| 1 \| 2 \| 3 row 7 : total \| total \| 13 \| 13 \| 13 \| 39 ] Execute this SQL based on the above table: select nation group by nation order by count ( nation ) limit 1	bolivia
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select make where id = ( select id where make = 'dodge' ) + 'toyota'	dodge
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| european championships \| munich, germany \| 6th \| 7.78 m row 2 : 2003 \| world championships \| paris, france \| 9th \| 7.93 m row 3 : 2004 \| olympic games \| athens, greece \| 5th \| 8.25 m row 4 : 2006 \| european championships \| gothenburg, sweden \| 9th \| 7.74 m row 5 : 2008 \| world indoor championships \| valencia, spain \| 2nd \| 8.06 m row 6 : 2008 \| olympic games \| beijing, china \| 27th \| 7.70 m row 7 : 2009 \| world championships \| berlin, germany \| 8th \| 8.06 m row 8 : 2010 \| european championships \| barcelona, spain \| 3rd \| 8.23 m row 9 : 2011 \| european team championships \| stockholm, sweden \| 3rd \| 8.12 m row 10 : 2011 \| world championships \| daegu, south korea \| 11th \| 7.87 m row 11 : 2012 \| olympic games \| london, england \| 6th \| 8.07 m row 12 : 2013 \| european indoor championships \| gothenburg, sweden \| 7th \| 7.95 m ] Execute this SQL based on the above table: select competition where competition != 'european team championships' and year = ( select year where competition = 'european team championships' )	world championships
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select driver where driver = 'dario franchitti (w)' order by driver desc limit 1	dario franchitti (w)
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select sum ( age ) where age in ( 21 , 46 )	113.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 2 \| 17 february 2002 \| healy park, omagh \| tyrone \| \| 2-10 : 0-18 \| national football league round 2 row 2 : 3 \| 3 march 2002 \| parnell park, dublin \| westmeath \| \| 3-13 : 1-16 \| national football league round 4 row 3 : 5 \| 31 march 2002 \| tuam stadium, galway \| galway \| \| 1-12 : 1-12 \| national football league round 7 row 4 : 6 \| 2 february 2003 \| parnell park, dublin \| armagh \| \| 0-7 : 1-15 \| national football league round 1 row 5 : 12 \| 8 february 2004 \| mchale park, castlebar \| mayo \| \| 0-3 : 1-10 \| national football league round 2 row 6 : 15 \| 21 march 2004 \| parnell park, dublin \| cork \| \| 0-9 : 0-9 \| national football league round 6 row 7 : 16 \| 5 february 2005 \| parnell park, dublin \| mayo \| \| 2-13 : 1-15 \| national football league round 1 row 8 : 21 \| 26 march 2005 \| pairc ui rinn, \| cork \| \| 1-6 : 0-18 \| national football league round 6 row 9 : 22 \| 3 april 2005 \| o'connor park, tul \| offaly \| \| 1-13 : 2-6 \| national football league round 7 row 10 : 27 \| 25 march 2006 \| parnell park, dublin \| mayo \| \| 4-10 : 1-10 \| national football league round 6 row 11 : 28 \| 9 april 2006 \| fitzgerald stadium, kerry \| kerry \| \| 0-13 : 0-13 \| national football league round 7 row 12 : 30 \| 10 february 2007 \| gaelic grounds, limerick \| limerick \| \| 0-14 : 1-10 \| national football league round 2 row 13 : 31 \| 25 february 2007 \| ballyshannon, donegal \| donegal \| \| 0-5 : 0-9 \| national football league round 3 row 14 : 32 \| 10 march 2007 \| parnell park, dublin \| cork \| \| 1-13 : 0-7 \| national football league round 4 row 15 : 41 \| 26 april 2008 \| pairc tailteann, meath \| westmeath \| \| 0-10 : 0-15 \| national football league division 2 final row 16 : 42 \| 31 january 2009 \| croke park, dublin \| tyrone \| \| 1-16 : 1-18 \| national football league round 1 row 17 : 43 \| 15 february 2009 \| pearse stadium, salthill \| galway \| \| 0-13 : 3-12 \| national football league round 2 row 18 : 48 \| 7 february 2010 \| fitzgerald stadium, killarney \| kerry \| \| 1-12 : 1-10 \| national football league round 1 row 19 : 50 \| 13 march 2010 \| parnell park, dublin \| monaghan \| \| 2-11 : 1-9 \| national football league round 4 ] Execute this SQL based on the above table: select min ( # )	2.0
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select studio where gross = '$31,111,111' order by id limit 1	20th century fox
[ header: pick # \| nfl team \| player \| position \| college row 1 : 81 \| philadelphia eagles \| paul fanning \| back \| kansas state row 2 : 82 \| brooklyn dodgers \| ed nowogrowski \| back \| university of washington row 3 : 83 \| chicago cardinals \| dwight hafeli \| back \| washington (st. louis) row 4 : 84 \| new york giants \| dwight scheyer \| end \| washington state row 5 : 85 \| pittsburgh pirates \| matt patanelli \| tackle \| michigan row 6 : 86 \| boston redskins \| bill docherty \| guard \| temple row 7 : 87 \| detroit lions \| larry kelley \| guard \| yale row 8 : 88 \| chicago bears \| al guepe \| end \| marquette row 9 : 89 \| green bay packers \| gordon dahlgren \| guard \| michigan state row 10 : 90 \| cleveland rams \| ray johnson \| tackle \| denver ] Execute this SQL based on the above table: select sum ( pick # )	855.0
[ header: year \| competition \| venue \| position \| notes row 1 : 2005 \| european u23 championships \| erfurt, germany \| 7th \| 72.81 m row 2 : 2008 \| olympic games \| beijing, china \| 8th \| 82.06 m (=pb row 3 : 2009 \| universiade \| belgrade, serbia \| 5th \| 78.29 m row 4 : 2010 \| european championships \| barcelona, spain \| 14th (q) \| 76.29 m row 5 : 2012 \| olympic games \| london, united kingdom \| 15th (q) \| 80.06 m row 6 : 2013 \| world championships \| moscow, russia \| 32nd (q) \| 72.66 m ] Execute this SQL based on the above table: select count ( position ) where venue > 1392	6
[ 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 venue group by venue order by count ( position ) desc limit 1	stuttgart, germany
[ header: poll company \| source \| publication date \| psuv \| opposition \| undecided row 1 : gis xxi \| radio nacional de venezuela \| march 2010 \| 32 \| 22 \| 36 row 2 : gis xxi \| radio nacional de venezuela \| may 2010 \| 36 \| 23 \| 33 row 3 : gis xxi \| radio nacional de venezuela \| june 2010 \| 44 \| 20 \| None row 4 : hinterlaces \| hinterlaces el universal \| july 2010 \| 27 \| 28 \| 23 row 5 : gis xxi \| correo del orinoco \| august 2010 \| 50 \| 44 \| None row 6 : ivad \| el universal \| august 2010 \| 45 \| 43 \| None row 7 : keller & asociados \| el universal \| august 2010 \| 32 \| 46 \| None row 8 : keller & asociados \| el universal \| 2 september 2010 \| 43 \| 57 \| 0 row 9 : datanalisis \| abc.es \| september 2010 \| 52 \| 48 \| None row 10 : hinterlaces \| union radio descifrado \| september 2010 \| 41 \| 37 \| None row 11 : ivad \| union radio descifrado \| september 2010 \| 54 \| 46 \| None ] Execute this SQL based on the above table: select poll company where source = 'el universal' and poll company > ( select poll company where source = 'el universal' order by poll company limit 1 ) order by poll company limit 1	keller & asociados
[ header: name in english \| name in turkish \| area (km2) \| depth \| location (districts and/or provinces) row 1 : lake tuz \| tuz golu \| 1500 km2 \| 2 m \| aksaray, ankara, row 2 : lake egirdir \| egirdir golu \| 482 km2 \| None \| isparta row 3 : lake iznik \| iznik golu \| 308 km2 \| None \| iznik in bursa, row 4 : lake manyas \| manyas golu \| 166 km2 \| None \| balıkesir row 5 : lake acıgol \| acıgol \| 153 km2 \| None \| denizli, afyon row 6 : lake uluabat \| uluabat golu \| 134 km2 \| 1-2 m \| bursa row 7 : lake cıldır \| cıldır golu \| 115 km2 \| None \| ardahan, kars row 8 : lake palas tuzla \| palas tuzla gol \| 106 km2 \| 15 m \| palas/kayseri row 9 : lake hazar \| hazar golu \| 86 km2 \| None \| elazıg row 10 : lake koycegiz \| koycegiz golu \| 52 km2 \| None \| koycegiz in mugla row 11 : lake isıklı \| isıklı golu \| 49 km2 \| None \| denizli row 12 : lake yay \| yay golu \| 37 km2 \| None \| kayseri row 13 : lake tuzla \| tuzla golu \| 23 km2 \| None \| tuzla row 14 : lake kucukcekmece \| kucukcekmece gol \| 16 km2 \| None \| kucukcekmece, ist row 15 : lake yaraslı \| yaraslı golu \| 16 km2 \| None \| burdur row 16 : lake haclı \| haclı golu \| 16 km2 \| None \| mus row 17 : lake arin \| arin golu \| 13 km2 \| None \| None row 18 : lake balık \| balık golu \| 12 km2 \| None \| None row 19 : lake akdogan \| akdogan golu \| 11 km2 \| None \| None row 20 : lake cavuslu \| cavuslu golu \| 9 km2 \| None \| None row 21 : lake duden \| duden golu \| 8 km2 \| None \| None row 22 : lake gala \| gala golu \| 8 km2 \| None \| edirne row 23 : lake karatas \| karatas golu \| 6 km2 \| None \| None row 24 : lake eymir \| eymir golu \| 1.8 km2 \| None \| ankara row 25 : lake golcuk \| golcuk golu \| 1 km2 \| None \| izmir ] Execute this SQL based on the above table: select name in english where name in english in ( 'lake isıklı' , 'lake eymir' ) order by area (km2) desc limit 1	lake isıklı
[ header: team \| car(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : akins-sutton motorsports \| ford taurus \| 98 \| elton sawyer \| lysol \| brad akins \| ricky viers row 2 : allcar racing \| chevrolet monte carlo \| 22 \| jimmy kitchens \| air jamaica vacations \| dave carroll \| todd lohse row 3 : buckshot racing \| pontiac grand prix \| 0 \| larry pearson \| cheez-it \| billy jones \| kenneth campbell row 4 : cicci-welliver racing \| chevrolet monte carlo \| 34 \| mike mclaughlin \| goulds pumps \| frank cicci \| jay smith row 5 : cicci-welliver racing \| pontiac grand prix \| 36 \| tim fedewa \| stanley tools \| scott welliver \| vic kangas row 6 : cicci-welliver racing \| chevrolet monte carlo \| 66 \| todd bodine \| phillips 66 \| jeffrey welliver \| donnie richeson row 7 : diamond ridge motorsports \| chevrolet monte carlo \| 4 \| jeff purvis \| lance snacks \| gary bechtel \| johnny allen row 8 : henderson brothers racing \| chevrolet monte carlo \| 75 \| kelly denton (r) \| big daddy's bbq sauce \| charlie henderson \| ron denton row 9 : hvp motorsports \| chevrolet monte carlo \| 63 \| chuck bown \| exxon superflo \| hubert hensley \| jeff hensley row 10 : innovative motorsports \| chevrolet monte carlo \| 47 \| andy santerre \| monro muffler brake \| george debidart \| kevin caldwell row 11 : joe gibbs racing \| pontiac grand prix \| 18 \| bobby labonte \| mbna \| joe gibbs \| bryant frazier row 12 : prw racing \| ford taurus \| 77 \| ed berrier \| lear corporation \| tony hall \| jimmy means row 13 : phil parsons racing \| chevrolet monte carlo \| 10 \| phil parsons \| alltel \| marcia parsons \| doug taylor row 14 : phoenix racing \| chevrolet monte carlo \| 1 \| randy lajoie \| bob evans restaurants \| james finch \| marc reno row 15 : progressive motorsports \| chevrolet monte carlo \| 32 \| jeff green \| kleenex \| greg pollex \| harold holly row 16 : reiser enterprises \| chevrolet monte carlo \| 17 \| matt kenseth \| dewalt tools \| robbie reiser \| robbie reiser row 17 : roush racing \| ford taurus \| 9 \| jeff burton \| track gear \| jack roush \| tommy morgan row 18 : sadler brothers racing \| chevrolet monte carlo \| 95 \| bobby hamilton, j \| shoney's inn \| earl sadler \| chick sadler row 19 : st motorsports \| chevrolet monte carlo \| 59 \| mike dillon \| kingsford \| tad geschickter \| steve plattenberger row 20 : team yellow racing \| chevrolet monte carlo \| 19 \| mike skinner \| yellow freight \| david ridling \| c. r. miller ] Execute this SQL based on the above table: select count ( crew chief ) where car(s) = 'chevrolet monte carlo'	14
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select count ( * ) ( select name group by name having count ( name ) > 689 )	0
[ header: week \| room \| winning couple \| 2nd couple \| 3rd couple \| chumps row 1 : 1 \| guest bedroom 1 \| alisa and lysandra \| kyal and kara/brad \| chantelle and steve \| None row 2 : 2 \| downstairs bathrooms, laundry & terrace \| brad and dale \| alisa and lysandra \| chantelle and steve \| kyal and kara row 3 : 3 \| guest bedroom 2 \| kyal and kara \| chantalle and steve \| alisa and lysandra \| brad and dale row 4 : 4 \| upstairs bathroom \| kyal and kara \| brad and dale \| chantelle and steve \| alisa and lysandra row 5 : 5 \| kitchen \| alisa and lysandra \| kyal and kara \| brad and dale \| chantelle and steve row 6 : 6 \| living room and dining room \| chantelle and steve \| alisa and lysandra \| brad and dale / kyal \| None row 7 : 7 \| master bedroom and ensuite \| brad and dale \| chantelle and steve \| alisa and lysandra \| kyal and kara row 8 : 8 \| rooftop/outside terrace \| kyal and kara \| brad and dale \| alisa and lysandra \| chantelle and steve ] Execute this SQL based on the above table: select week where 3rd couple = 'brad and dale'	5
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select notes where notes = '13.5'	13.5
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select dvd release region 4 order by id desc limit 1	17 march 2003
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| janelle atkinson \| jamaica \| 4:16.89 \| q row 2 : 2 \| None \| None \| None \| q row 3 : 3 \| kaitlin sandeno \| united states \| 4:18.97 \| q row 4 : 4 \| julia stowers \| united states \| 4:19.84 \| q row 5 : 5 \| None \| None \| None \| q row 6 : 6 \| None \| None \| None \| q row 7 : 7 \| None \| None \| None \| q row 8 : 8 \| None \| None \| None \| q ] Execute this SQL based on the above table: select notes where rank = 3	q
[ header: category \| urban settlements \| population \| male \| female \| inhabited localities in jurisdiction row 1 : urban \| dzhebariki-khaya \| 1694 \| 844 (49.8%) \| 850 (50.2%) \| urban-type settlement of dzhebar row 2 : urban \| khandyga (ханд \| 6638 \| 3326 (49.8%) \| 3312 (50.2%) \| urban-type settlement of khandyg row 3 : rural \| bayagantaysky na \| 1823 \| 884 (48.5%) \| 939 (51.5%) \| selo of krest-khal row 4 : rural \| megino-aldansky n \| 1020 \| 490 (48.0%) \| 530 (52.0%) \| selo of megino-al row 5 : rural \| okhot-perevozovsky \| 142 \| 70 (49.3%) \| 72 (50.7%) \| selo of okhotsky-per row 6 : rural \| sasylsky na \| 555 \| 275 (49.5%) \| 280 (50.5%) \| selo of keskil row 7 : rural \| teploklyuchevsky \| 887 \| 447 (50.4%) \| 440 (49.6%) \| selo of teply row 8 : rural \| tomponsky national nasleg \| 915 \| 458 (50.1%) \| 457 (49.9%) \| selo of topolinoye row 9 : rural \| ynginsky nasleg \| 425 \| 217 (51.1%) \| 208 (48.9%) \| selo of novy selo ] Execute this SQL based on the above table: select count ( * ) where urban settlements < ( select urban settlements where urban settlements = 'dzhebariki-khaya (джебарики-хая)' )	0
[ header: single/ep \| release date \| label \| format(s) \| uk singles chart position \| notes row 1 : "hundredweight" \| 19 february 2001 \| fierce panda records \| cd, 7" \| None \| accompanied by b-sides: " row 2 : "try not to think" \| 11 march 2002 \| jive records \| cd, 7" \| None \| accompanied by b-sides: " row 3 : "bleach" \| 20 may 2002 \| jive records \| cd, 7" \| 67 \| accompanied by b-sides: " row 4 : "you & me" \| 9 september 2002 \| jive records \| 2xcd, 7" \| 57 \| accompanied by b-sides: " row 5 : "junkies" \| 27 january 2003 \| jive records \| 2xcd, 7" \| 40 \| accompanied by b-sides: " row 6 : "2nd amendment" \| 6 october 2003 \| jive records \| 2xcd, 7" \| 42 \| accompanied by b-sides: " row 7 : "'til the day" \| 19 january 2004 \| jive records \| 2xcd, 7" \| 27 \| accompanied by b-sides "stra row 8 : "how did it ever come to this?" \| 30 august 2004 \| zomba / bmg \| 2xcd, 7" \| 50 \| accompanied by b-sides: " ] Execute this SQL based on the above table: select notes where uk singles chart position = 50	accompanied by b-sides: "celebritykiller", "young hearts run free", "you can't tear polaroids", "this guy's in love with you"
[ header: date \| pos. \| name \| from \| fee row 1 : 27 june 2007 \| df \| aaron hughes \| aston villa \| £1,000,000 row 2 : 5 july 2007 \| mf \| steven davis \| aston villa \| £4,000,000 row 3 : 9 july 2007 \| fw \| diomansy kamara \| west bromwich albion \| £6,000,000 row 4 : 12 july 2007 \| df \| chris baird \| southampton \| £3,035,000 row 5 : 13 july 2007 \| fw \| david healy \| leeds united \| £1,500,000 row 6 : 13 july 2007 \| df \| paul konchesky \| west ham \| £3,250,000 row 7 : 19 july 2007 \| mf \| lee cook \| qpr \| £2,500,000 row 8 : 4 august 2007 \| mf \| adrian leijer \| melbourne victory \| undisclosed row 9 : 8 august 2007 \| df \| hameur bouazza \| watford \| £3,000,000 row 10 : 23 august 2007 \| gk \| kasey keller \| borussia monchengladbach \| free row 11 : 30 august 2007 \| df \| nathan ashton \| unattached \| free row 12 : 31 august 2007 \| fw \| shefki kuqi \| crystal palace \| loan row 13 : 31 august 2007 \| mf \| danny murphy \| tottenham hotspur \| loan row 14 : 31 august 2007 \| mf \| seol ki-hyeon \| reading \| undisclosed row 15 : 31 august 2007 \| df \| dejan stefanovic \| portsmouth \| £1,000,000 ] Execute this SQL based on the above table: select name order by fee asc limit 1	adrian leijer
[ header: county \| feinstein \| votes \| seymour \| votes \| horne \| votes \| meeu. \| votes \| boddie \| votes \| w/i \| v's row 1 : san mateo \| 67.25% \| 181,990 \| 27.89% \| 75,470 \| 1.84% \| 4,983 \| 1.29% \| 3,478 \| 1.73% \| 4,684 \| 0.00% \| 0 row 2 : contra costa \| 62.96% \| 229,988 \| 31.62% \| 115,507 \| 1.92% \| 7,011 \| 1.77% \| 6,470 \| 1.73% \| 6,320 \| 0.00% \| 2 row 3 : sonoma \| 62.84% \| 121,471 \| 29.38% \| 56,793 \| 3.02% \| 5,846 \| 2.43% \| 4,702 \| 2.33% \| 4,502 \| 0.00% \| 0 row 4 : santa clara \| 62.19% \| 364,997 \| 30.98% \| 181,858 \| 2.15% \| 12,646 \| 2.20% \| 12,912 \| 2.47% \| 14,518 \| 0.00% \| 2 row 5 : monterey \| 58.89% \| 66,417 \| 34.74% \| 39,182 \| 2.10% \| 2,369 \| 2.30% \| 2,590 \| 1.96% \| 2,216 \| 0.00% \| 0 row 6 : los angeles \| 58.72% \| 1,552,223 \| 34.03% \| 899,656 \| 3.18% \| 84,093 \| 2.09% \| 55,380 \| 1.97% \| 52,123 \| 0.00% \| 20 row 7 : napa \| 57.01% \| 29,875 \| 35.38% \| 18,539 \| 2.46% \| 1,288 \| 2.93% \| 1,537 \| 2.22% \| 1,161 \| 0.00% \| 0 row 8 : del norte \| 50.92% \| 4,696 \| 39.66% \| 3,658 \| 2.56% \| 236 \| 4.98% \| 459 \| 1.89% \| 174 \| 0.00% \| 0 row 9 : merced \| 47.61% \| 22,010 \| 43.79% \| 20,246 \| 2.79% \| 1,289 \| 2.95% \| 1,365 \| 2.86% \| 1,323 \| 0.00% \| 0 row 10 : nevada \| 46.04% \| 20,044 \| 44.73% \| 19,476 \| 2.90% \| 1,261 \| 3.32% \| 1,444 \| 3.02% \| 1,313 \| 0.00% \| 0 row 11 : placer \| 45.75% \| 40,511 \| 45.73% \| 40,497 \| 2.38% \| 2,109 \| 3.30% \| 2,920 \| 2.84% \| 2,518 \| 0.00% \| 0 row 12 : mariposa \| 45.38% \| 3,681 \| 43.98% \| 3,568 \| 3.09% \| 251 \| 5.07% \| 411 \| 2.48% \| 201 \| 0.00% \| 0 row 13 : sierra \| 45.12% \| 818 \| 44.57% \| 808 \| 2.48% \| 45 \| 3.47% \| 63 \| 4.36% \| 79 \| 0.00% \| 0 row 14 : mono \| 45.11% \| 1,931 \| 44.64% \| 1,911 \| 2.83% \| 121 \| 3.95% \| 169 \| 3.48% \| 149 \| 0.00% \| 0 row 15 : butte \| 44.72% \| 37,396 \| 45.57% \| 38,111 \| 2.96% \| 2,477 \| 3.56% \| 2,980 \| 3.19% \| 2,666 \| 0.00% \| 0 row 16 : trinity \| 42.41% \| 2,743 \| 43.66% \| 2,824 \| 3.80% \| 246 \| 6.29% \| 407 \| 3.83% \| 248 \| 0.00% \| 0 row 17 : yuba \| 40.76% \| 6,890 \| 46.63% \| 7,882 \| 3.07% \| 518 \| 6.09% \| 1,030 \| 3.45% \| 584 \| 0.00% \| 0 ] Execute this SQL based on the above table: select horne where county = 'sierra'	2.48%
[ header: # \| weekend end date \| film \| weekend gross (millions) \| notes row 1 : 1 \| january 6, 2008 \| national treasure: book of secrets \| $1.65 \| None row 2 : 3 \| january 20, 2008 \| cloverfield \| $2.26 \| None row 3 : 4 \| january 27, 2008 \| rambo \| $1.71 \| meet the spartans was #1 in north row 4 : 6 \| february 10, 2008 \| fool's gold \| $1.55 \| None row 5 : 7 \| february 17, 2008 \| jumper \| $2.06 \| None row 6 : 8 \| february 24, 2008 \| vantage point \| $1.55 \| None row 7 : 11 \| march 16, 2008 \| horton hears a who! \| $2.89 \| None row 8 : 12 \| march 23, 2008 \| horton hears a who! \| $1.99 \| None row 9 : 13 \| march 30, 2008 \| 21 \| $2.17 \| None row 10 : 14 \| april 6, 2008 \| 21 \| $1.63 \| None row 11 : 15 \| april 13, 2008 \| prom night \| $1.25 \| None row 12 : 18 \| may 4, 2008 \| iron man \| $7.49 \| None row 13 : 19 \| may 11, 2008 \| iron man \| $3.93 \| None row 14 : 20 \| may 18, 2008 \| the chronicles of narnia: prince \| $4.11 \| None row 15 : 21 \| may 25, 2008 \| indiana jones and the kingdom of \| $7.00 \| None row 16 : 22 \| june 1, 2008 \| sex and the city \| $4.88 \| None row 17 : 26 \| june 29, 2008 \| wanted \| $3.10 \| wall-e was #1 in north america row 18 : 27 \| july 6, 2008 \| hancock \| $3.67 \| None row 19 : 28 \| july 13, 2008 \| hellboy ii: the golden army \| $2.50 \| None row 20 : 29 \| july 20, 2008 \| the dark knight \| $10.53 \| the dark knight had the highest weekend debut of 2008 row 21 : 31 \| august 3, 2008 \| the dark knight \| $3.65 \| None row 22 : 32 \| august 10, 2008 \| the dark knight \| $2.39 \| None row 23 : 33 \| august 17, 2008 \| tropic thunder \| $2.11 \| None row 24 : 34 \| august 24, 2008 \| tropic thunder \| $1.45 \| None row 25 : 35 \| august 31, 2008 \| tropic thunder \| $1.48 \| None row 26 : 37 \| september 14, 2008 \| burn after reading \| $1.75 \| None row 27 : 38 \| september 21, 2008 \| burn after reading \| $1.15 \| lakeview terrace was #1 in north america row 28 : 39 \| september 28, 2008 \| eagle eye \| $2.20 \| None row 29 : 40 \| october 5, 2008 \| eagle eye \| $1.16 \| beverly hills chihuah row 30 : 41 \| october 12, 2008 \| body of lies \| $1.18 \| beverly hills chihuah row 31 : 42 \| october 19, 2008 \| max payne \| $1.50 \| None row 32 : 44 \| november 2, 2008 \| zack & miri make a \| $1.53 \| high school musical 3: senior year was #1 in row 33 : 46 \| november 16, 2008 \| quantum of solace \| $7.64 \| None row 34 : 47 \| november 23, 2008 \| twilight \| $5.30 \| None row 35 : 49 \| december 7, 2008 \| twilight \| $1.52 \| four christmases was #1 in north america row 36 : 50 \| december 14, 2008 \| the day the earth stood still \| $1.81 \| None row 37 : 51 \| december 21, 2008 \| yes man \| $1.22 \| None row 38 : 52 \| december 28, 2008 \| the curious case of benjamin button \| $2.22 \| marley & me was #1 in north ] Execute this SQL based on the above table: select film order by # desc limit 1	the curious case of benjamin button
[ header: opposition \| matches \| won \| drawn \| lost \| for \| against \| win% row 1 : bhopal badshahs \| 2 \| 0 \| 1 \| 1 \| 7 \| 8 \| 0.00% row 2 : chennai cheeta \| 2 \| 1 \| 0 \| 1 \| 6 \| 5 \| 50.00% row 3 : delhi wizards \| 2 \| 2 \| 0 \| 0 \| 4 \| 2 \| 100.00% row 4 : karnataka lions \| 2 \| 1 \| 0 \| 1 \| 8 \| 4 \| 50.00% row 5 : mumbai marines \| 2 \| 2 \| 0 \| 0 \| 9 \| 5 \| 100.00% row 6 : pune strykers \| 3 \| 2 \| 0 \| 1 \| 11 \| 8 \| 66.67% row 7 : sher-e-punjab \| 2 \| 1 \| 0 \| 1 \| 5 \| 6 \| 50.00% ] Execute this SQL based on the above table: select lost where win% = '100.00%'	0.0, 0.0
[ header: rank \| athlete \| nationality \| time \| notes row 1 : None \| valeriy borchin \| russia \| 1:19:56 \| None row 2 : None \| vladimir kanay \| russia \| 1:20:27 \| None row 3 : None \| luis fernando lopez \| colombia \| 1:20:38 \| sb row 4 : 4 \| wang zhen \| china \| 1:20:54 \| None row 5 : 5 \| stanislav emelyanov \| russia \| 1:21:11 \| None row 6 : 6 \| kim hyun-sub \| south korea \| 1:21:17 \| None row 7 : 7 \| ruslan dmytrenko \| ukraine \| 1:21:31 \| sb row 8 : 8 \| yusuke suzuki \| japan \| 1:21:39 \| None row 9 : 9 \| alex schwazer \| italy \| 1:21:50 \| sb row 10 : 10 \| erick barrondo \| guatemala \| 1:22:08 \| None row 11 : 11 \| chu yafei \| china \| 1:22:10 \| None row 12 : 12 \| sergey morozov \| russia \| 1:22:37 \| None row 13 : 14 \| matej toth \| slovakia \| 1:22:55 \| None row 14 : 15 \| eder sanchez \| mexico \| 1:23:05 \| None row 15 : 16 \| joao vieira \| portugal \| 1:23:26 \| None row 16 : 17 \| miguel angel lopez \| spain \| 1:23:41 \| None row 17 : 18 \| anton kucmin \| slovakia \| 1:23:57 \| None row 18 : 19 \| james rendon \| colombia \| 1:24:08 \| sb row 19 : 20 \| horacio nava \| mexico \| 1:24:15 \| None row 20 : 21 \| christopher linke \| germany \| 1:24:17 \| None row 21 : 22 \| caio bonfim \| brazil \| 1:24:29 \| None row 22 : 23 \| trevor barron \| united states \| 1:24:33 \| None row 23 : 24 \| rafał augustyn \| poland \| 1:24:47 \| None row 24 : 25 \| byun youngjun \| south korea \| 1:24:48 \| None row 25 : 28 \| recep celik \| turkey \| 1:25:39 \| None row 26 : 29 \| nazar kovalenko \| ukraine \| 1:25:50 \| None row 27 : 31 \| babubhai panucha \| india \| 1:26:53 \| None row 28 : 32 \| david kimutai \| kenya \| 1:27:20 \| sb row 29 : 33 \| yerko araya \| chile \| 1:27:47 \| None row 30 : 34 \| hedi teraoui \| tunisia \| 1:29:48 \| None row 31 : 35 \| diego flores \| mexico \| 1:30:00 \| None row 32 : 37 \| emerson hernandez \| el salvador \| 1:30:48 \| sb row 33 : 38 \| ronald quispe \| bolivia \| 1:32:09 \| pb row 34 : None \| moacir zimmermann \| brazil \| dsq \| None row 35 : None \| gustavo restrepo \| colombia \| dsq \| None row 36 : None \| giorgio rubino \| italy \| dsq \| None row 37 : None \| anatole ibanez \| sweden \| dsq \| None row 38 : None \| adam rutter \| australia \| dnf \| None row 39 : None \| mauricio arteaga \| ecuador \| dnf \| None ] Execute this SQL based on the above table: select count ( nationality ) where rank > 'None'	0
[ header: year \| car \| start \| qual \| rank \| finish \| laps \| led \| retired row 1 : 1961 \| 98 \| 5 \| 146.08 \| 7 \| 12 \| 192 \| 27 \| flagged row 2 : 1962 \| 98 \| 1 \| 150.37 \| 1 \| 7 \| 200 \| 120 \| running row 3 : 1963 \| 98 \| 1 \| 151.153 \| 1 \| 1 \| 200 \| 167 \| running row 4 : 1964 \| 98 \| 4 \| 155.099 \| 4 \| 23 \| 55 \| 7 \| pit fire row 5 : 1965 \| 98 \| 5 \| 158.625 \| 5 \| 2 \| 200 \| 0 \| running row 6 : 1966 \| 98 \| 4 \| 162.484 \| 4 \| 14 \| 87 \| 0 \| wheel bearing row 7 : 1967 \| 40 \| 6 \| 166.075 \| 6 \| 6 \| 196 \| 171 \| bearing row 8 : totals \| totals \| totals \| totals \| totals \| totals \| 1130 \| 492 \| None ] Execute this SQL based on the above table: select count ( retired )	7
[ 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 ( distinct to )	8
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select count ( * )	7
[ header: year \| title \| role \| notes row 1 : 1984 \| no small affair \| mona \| film debut row 2 : 1985 \| moving violations \| amy hopkins \| None row 3 : 1987 \| inside out \| amy \| None row 4 : 1988 \| johnny be good \| connie hisler \| None row 5 : 1988 \| high spirits \| miranda \| None row 6 : 1989 \| let it ride \| vicki \| None row 7 : 1989 \| the fabulous baker boys \| blanche "monica" moran \| None row 8 : 1991 \| the doors \| okie girl \| uncredited row 9 : 1991 \| scorchers \| talbot \| None row 10 : 1992 \| shadow of the wolf \| igiyook \| None row 11 : 1993 \| made in america \| stacy \| None row 12 : 1994 \| bullets over broadway \| olive neal \| None row 13 : 1994 \| embrace of the vampire \| marika \| None row 14 : 1995 \| bird of prey \| kily griffith \| None row 15 : 1995 \| man with a gun \| rena rushton/kathy \| None row 16 : 1996 \| the pompatus of love \| tarzaan \| None row 17 : 1996 \| house arrest \| cindy figler \| None row 18 : 1996 \| bound \| violet \| None row 19 : 1996 \| american strays \| patty mae \| None row 20 : 1997 \| liar liar \| samantha cole \| None row 21 : 1997 \| edie & pen \| edie piper \| None row 22 : 1997 \| bella mafia \| moyra luciano \| None row 23 : 1997 \| the wrong guy \| lynn holden \| None row 24 : 1998 \| relax...it's just sex \| tara ricotto \| None row 25 : 1998 \| hoods \| mary crippa \| None row 26 : 1998 \| bride of chucky \| tiffany \| None row 27 : 1998 \| music from another room \| nina \| None row 28 : 1999 \| goosed \| charlene \| None row 29 : 1999 \| do not disturb \| cathryn \| None row 30 : 1999 \| bartok the magnificent \| piloff \| voice only direct-to-video row 31 : 1999 \| play it to the bone \| ringside fan \| None row 32 : 2000 \| cord \| helen \| None row 33 : 2000 \| bruno \| dolores \| None row 34 : 2000 \| dancing at the blue iguana \| jo \| None row 35 : 2000 \| the crew \| ferris 'aka maureen' low \| None row 36 : 2001 \| fast sofa \| ginger quail \| None row 37 : 2001 \| ball in the house \| dot \| None row 38 : 2001 \| the cat's meow \| louella parsons \| None row 39 : 2003 \| the haunted mansion \| madame leota \| None row 40 : 2003 \| jericho mansions \| donna cherry \| None row 41 : 2004 \| second best \| carole \| None row 42 : 2004 \| perfect opposites \| elyse steinberg \| None row 43 : 2004 \| home on the range \| grace \| voice only row 44 : 2004 \| el padrino \| sebeva \| None row 45 : 2004 \| love on the side \| alma kerns \| None row 46 : 2005 \| lil' pimp \| miss de la croix \| voice only row 47 : 2005 \| the civilization of maxwell bright \| dr. o'shannon \| None row 48 : 2005 \| tideland \| queen gunhilda \| None row 49 : 2006 \| the poker movie \| herself \| None row 50 : 2007 \| intervention \| None \| None row 51 : 2008 \| deal \| karen 'razor' jo \| None row 52 : 2008 \| the caretaker \| miss perry \| None row 53 : 2008 \| inconceivable \| salome 'sally' marsh \| None ] Execute this SQL based on the above table: select count ( * ) where title = 'the poker movie'	1
[ 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 count ( video title ) where director = 'None'	0
[ header: pollutant \| units \| emission standard \| coal-fired \| petroleum coke-fired row 1 : so2 \| lb/mmbtu \| ≤ 0.15 \| 0.0-0.04 \| 0.03-0.13 row 2 : nox \| lb/mmbtu \| ≤ 0.09 \| 0.04-0.06 \| 0.02 row 3 : solid particulate \| lb/mmbtu \| ≤ 0.011 \| 0.004 \| 0.007 row 4 : pm10 \| lb/mmbtu \| ≤ 0.011 \| 0.006 \| 0.004 row 5 : so3 \| lb/hour \| ≤ 1.1 \| 0.43 \| 0 row 6 : fluoride \| lb/mmbtu \| ≤ 1.57×10-4 \| 1.06×10-4 \| 0.95×10-4 row 7 : lead \| lb/mmbtu \| ≤ 2.6×10-5 \| 0.56×10-5 \| 0.59×10-5 row 8 : mercury \| lb/mmbtu \| ≤ 1.05×10-5 \| 0.095×10-5 \| 0.028×10-5 ] Execute this SQL based on the above table: select units group by units having count ( units ) = ( select count ( units ) group by units order by count ( units ) asc limit 1 )	lb/hour
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select name on the register where >= 9 order by asc limit 1263	highland park general hospital
[ 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 ) where player = 'adrian lewis'	1
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select album where year = ( select year where album = 'five' ) - 1	live on the day of storms
[ header: score \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 row 1 : 5 \| 15.3% \| 18.4% \| 18.0% \| 17.1% \| 17.0% \| 16.4% \| 18.9% row 2 : 4 \| 18.0% \| 17.5% \| 17.9% \| 18.5% \| 18.4% \| 19.3% \| 21.5% row 3 : 3 \| 23.0% \| 20.0% \| 20.2% \| 19.3% \| 19.5% \| 20.1% \| 18.8% row 4 : 2 \| 18.5% \| 14.3% \| 14.2% \| 12.7% \| 14.6% \| 15.0% \| 14.9% row 5 : 1 \| 25.3% \| 29.9% \| 29.8% \| 32.3% \| 30.4% \| 29.2% \| 26.0% row 6 : mean \| 2.79 \| 2.8 \| 2.8 \| 2.76 \| 2.77 \| 2.79 \| 2.92 row 7 : number of students \| 97136 \| 100586 \| 104789 \| 115077 \| 122651 \| 132425 \| 140006 ] Execute this SQL based on the above table: select ( select id where 2012 = '19.3%' ) < ( select id where 2012 = '15.0%' )	1
[ header: transmitter \| kw \| bbca \| bbcb \| d3&4 \| sdn \| arqa \| arqb \| pol. \| a.g. row 1 : allenheads \| 0.002 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 2 : alston \| 0.08 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 3 : bellingham \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 4 : blaydon burn \| 0.002 \| 44 \| 47 \| 41 \| None \| None \| None \| v \| b e k row 5 : byrness \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 6 : catton beacon \| 0.028 \| 40 \| 46 \| 43 \| None \| None \| None \| v \| b e k row 7 : durham \| 0.003 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 8 : esh \| 0.0024 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 9 : felling \| 0.002 \| 40 \| 43 \| 46 \| None \| None \| None \| v \| b e k row 10 : fenham \| 0.4 \| 27 \| 21 \| 24 \| 25 \| 22 \| 28 \| v \| a k row 11 : haltwhistle \| 0.4 \| 59 \| 55 \| 62- \| None \| None \| None \| v \| c/d e row 12 : haydon bridge \| 0.02 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 13 : hedleyhope \| 0.004 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 14 : humshaugh \| 0.0118 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 15 : ireshopeburn \| 0.0022 \| 55 \| 59 \| 50 \| None \| None \| None \| v \| c/d e row 16 : kielder \| 0.0054 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 17 : morpeth \| 0.0088 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 18 : newton \| 0.4 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 19 : seaham \| 0.059 \| 44 \| 47 \| 46 \| None \| None \| None \| v \| b e k row 20 : shotleyfield \| 0.04 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 21 : staithes \| 0.002 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 22 : sunderland \| 0.006 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 23 : wall \| 0.0042 \| 52 \| 51 \| 48 \| None \| None \| None \| h \| b c/d e row 24 : weardale \| 0.2 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 25 : whitaside \| 0.0025 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k ] Execute this SQL based on the above table: select transmitter where id = ( select id where transmitter = 'durham' ) - 1	catton beacon
[ header: act \| year signed \| # albums released under bad boy row 1 : diddy \| 1993 \| 6 row 2 : the notorious b.i.g \| 1993 \| 5 row 3 : harve pierre \| 1993 \| None row 4 : the hitmen \| 1993 \| None row 5 : mario winans \| 1995 \| 1 row 6 : kalenna harper \| 2004 \| None row 7 : cassie \| 2006 \| 1 row 8 : janelle monae \| 2007 \| 2 row 9 : red cafe \| 2009 \| None row 10 : machine gun kelly \| 2011 \| 1 row 11 : french montana \| 2012 \| 1 row 12 : megan nicole \| 2012 \| None ] Execute this SQL based on the above table: select count ( act ) where act = 'the hitmen'	1
[ header: numbers tops \| numbers tops \| numbers pre-tops \| name(s) \| dates \| final livery \| operator \| withdrawn \| status row 1 : 86205 \| 86503 \| e3129 \| city of lancaster \| 1979-2003 \| virgin red/black \| virgin west coast \| 10/2003 \| converted to 86701 (08/2009) row 2 : 86208 \| None \| e3141 \| city of chester \| 1979-2000 \| intercity \| ews \| 03/2002 \| scrapped at crewe electric tmd row 3 : 86223 \| None \| e3158 \| hector norwich union \| 1979-1987 1987-2004 \| anglia railways \| fm rail \| 04/2004 \| scrapped at emr kings row 4 : 86225 \| None \| e3164 \| hardwicke \| 1980-2003 \| virgin red/black \| virgin cross-country \| 07/2002 \| scrapped at rotherham (04/ row 5 : 86235 \| None \| e3194 \| novelty harold macmillan crown point \| 1979-1990 1990-1992 1992- \| anglia railways \| 'one' \| 09/2005 \| stored at long marston row 6 : 86246 \| 86505 \| e3149 \| royal anglian regiment \| 1985- \| anglia railways \| 'one' \| 12/2004 \| stored at long marston row 7 : 86251 \| None \| e3183 \| the birmingham post \| 1984-2002 \| virgin red/black \| fm rail \| 10/2002 \| stored at long marston row 8 : 86255 \| 86042 \| e3154 \| penrith beacon \| 1981-1999 \| intercity \| virgin cross-country \| 08/1998 \| scrapped at immingham rft row 9 : 86258 \| 86046 \| e3192 \| talyllyn - the first \| 1984-2001 2001-2002 \| virgin red/black \| virgin cross-country \| 07/2002 \| conversion to battery-electric locomotive cancelled. scrapped row 10 : 86419 \| 86319 \| e3120 \| post haste 150 years of the travelling post \| 1990-1993 \| rail express systems \| ews \| 03/1999 \| scrapped at crewe electric tmd row 11 : 86424 \| 86324 \| e3111 \| None \| None \| nr yellow \| network rail \| 12/2002 \| exported hungary. (08/2013) row 12 : 86501 \| 86608 \| e3180 \| crewe basford hall \| 2000-2000 \| freightliner green \| freightliner \| None \| in service row 13 : 86602 \| 86402 \| e3170 \| None \| None \| freightliner green \| freightliner \| 03/2005 \| scrapped at sandbach car & row 14 : 86605 \| 86405 \| e3185 \| intercontainer \| 1992-1996 \| freightliner green \| freightliner \| None \| in service row 15 : 86611 \| 86411 \| e3171 \| airey neave \| 1983-2003 \| freightliner grey \| freightliner \| 11/2003 \| written-off in norton bridge accident scrapped row 16 : 86614 \| 86414 \| e3145 \| frank hornby \| 1986-2001 \| freightliner green \| freightliner \| None \| in service row 17 : 86627 \| 86427 \| e3110 \| the industrial society \| 1985-1999 \| freightliner green \| freightliner \| None \| in service ] Execute this SQL based on the above table: select numbers pre-tops where numbers tops = 86419	e3120
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 1st \| 3000 m \| 9:12.70 row 2 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 1500 m \| 4:17.39 row 3 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 3000 m \| 9:03.16 (pb) row 4 : 2007 \| world athletics final \| stuttgart, germany \| 8th \| 1500 m \| 4:16.51 row 5 : 2007 \| world championships \| osaka, japan \| 31st (h) \| 1500 m \| 4:22.12 row 6 : 2008 \| world indoor championships \| valencia, spain \| 5th \| 1500 m \| 4:15.54 row 7 : 2008 \| olympic games \| beijing, china \| 10th \| 1500 m \| 4:05.57 row 8 : 2009 \| mediterranean games \| pescara, italy \| 4th \| 1500 m \| 4:12.83 row 9 : 2009 \| world championships \| berlin, germany \| 29th (h) \| 1500 m \| 4:10.57 row 10 : 2009 \| jeux de la francophonie \| beirut, lebanon \| 2nd \| 1500 m \| 4:21.56 row 11 : 2010 \| african championships \| nairobi, kenya \| 11th \| 1500 m \| 4:20.98 row 12 : 2011 \| world championships \| daegu, south korea \| 16th (sf) \| 1500 m \| 4:09.64 row 13 : 2011 \| pan arab games \| doha, qatar \| 2nd \| 1500 m \| 4:20.83 row 14 : 2012 \| world indoor championships \| istanbul, turkey \| 11th (h) \| 1500 m \| 4:11.69 row 15 : 2013 \| mediterranean games \| mersin, turkey \| 2nd \| 800 m \| 2:00.79 row 16 : 2013 \| mediterranean games \| mersin, turkey \| 1st \| 1500 m \| 4:04.06 row 17 : 2013 \| world championships \| moscow, russia \| 11th \| 1500 m \| 4:09.16 row 18 : 2013 \| jeux de la francophonie \| nice, france \| 4th \| 800 m \| 2:03.73 row 19 : 2013 \| jeux de la francophonie \| nice, france \| 2nd \| 1500 m \| 4:18.89 row 20 : 2014 \| world indoor championships \| sopot, poland \| 4th \| 1500 m \| 4:07.62 ] Execute this SQL based on the above table: select count ( competition ) where event >= '1500 m'	0
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select award where category = 'outstanding supporting actress in a drama series' order by year limit 2006	23rd daytime emmy awards, 24th daytime emmy awards, 25th daytime emmy awards
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select county where primary mshsaa class* = ( select primary mshsaa class* where county = 'nodaway' ) + 1	buchanan, livingston, buchanan, andrew, clay
[ header: county \| fips code \| county seat \| created \| origin \| etymology \| population estimate (2011) \| area row 1 : alamance county \| 1 \| graham \| 1849 \| orange county \| the battle of alamance which was derived \| 153291 \| 435 sq mi (1,127 km2) row 2 : clay county \| 43 \| hayesville \| 1861 \| cherokee county \| henry clay (1777-1852), states \| 10563 \| 221 sq mi (572 km2) row 3 : dare county \| 55 \| manteo \| 1870 \| currituck county, hyde \| virginia dare (b. 1587 \| 34307 \| 1,562 sq mi (4,046 km2) row 4 : duplin county \| 61 \| kenansville \| 1750 \| new hanover county \| thomas hay, viscount du \| 59542 \| 819 sq mi (2,121 km2) row 5 : gaston county \| 71 \| gastonia \| 1846 \| lincoln county \| william gaston (1778-1844), \| 207031 \| 364 sq mi (943 km2) row 6 : greene county \| 79 \| snow hill \| 1799 \| dobbs county originally named glasgo \| nathanael greene (17 \| 21556 \| 266 sq mi (689 km2) row 7 : henderson county \| 89 \| hendersonville \| 1838 \| buncombe county \| leonard henderson (1772-18 \| 107927 \| 375 sq mi (971 km2) row 8 : mitchell county \| 121 \| bakersville \| 1861 \| burke county, caldwell county, m \| elisha mitchell (1793 \| 15445 \| 222 sq mi (575 km2) row 9 : wilson county \| 195 \| wilson \| 1855 \| edgecombe county, johnston county, \| louis d. wilson, \| 81452 \| 374 sq mi (969 km2) row 10 : yadkin county \| 197 \| yadkinville \| 1850 \| surry county \| the yadkin river \| 38279 \| 337 sq mi (873 km2) ] Execute this SQL based on the above table: select ( select county seat where origin = 'surry county' ) < ( select county seat where origin = 'edgecombe county, johnston county, nash county, and wayne county' )	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select rank# order by attendance limit 1	#4
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 5 \| 2 \| 3 \| 10 row 2 : 2 \| colombia \| 4 \| 4 \| 9 \| 17 row 3 : 3 \| dominican republic \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| peru \| 3 \| 3 \| 8 \| 14 row 5 : 5 \| ecuador \| 2 \| 3 \| 3 \| 8 row 6 : 6 \| guatemala \| 1 \| 1 \| 1 \| 3 row 7 : 7 \| chile \| 0 \| 3 \| 2 \| 5 row 8 : 8 \| panama \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| bolivia \| 0 \| 0 \| 1 \| 1 row 10 : 9 \| paraguay \| 0 \| 0 \| 1 \| 1 row 11 : total \| total \| 19 \| 19 \| 35 \| 73 ] Execute this SQL based on the above table: select count ( nation )	11
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 9 \| 8 \| 6 \| 23 row 2 : 2 \| guatemala \| 6 \| 6 \| 6 \| 18 row 3 : 3 \| peru \| 5 \| 8 \| 9 \| 22 row 4 : 4 \| chile \| 4 \| 4 \| 1 \| 9 row 5 : 5 \| el salvador \| 4 \| 0 \| 2 \| 6 row 6 : 6 \| ecuador \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| bolivia \| 2 \| 1 \| 2 \| 5 row 8 : 8 \| dominican republic \| 1 \| 0 \| 2 \| 3 row 9 : 9 \| colombia \| 0 \| 1 \| 3 \| 4 row 10 : total \| total \| 33 \| 33 \| 32 \| 98 ] Execute this SQL based on the above table: select gold where nation = 'venezuela'	9.0
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| ue lleida \| 38 \| 57+19 \| 23 \| 11 \| 4 \| 56 \| 20 \| 36 row 2 : 2 \| real valladolid \| 38 \| 52+14 \| 20 \| 12 \| 6 \| 50 \| 30 \| 20 row 3 : 3 \| racing de santander \| 38 \| 52+14 \| 23 \| 6 \| 9 \| 56 \| 38 \| 18 row 4 : 4 \| rcd mallorca \| 38 \| 50+12 \| 21 \| 8 \| 9 \| 57 \| 34 \| 23 row 5 : 5 \| real betis \| 38 \| 43+5 \| 16 \| 11 \| 11 \| 49 \| 33 \| 16 row 6 : 6 \| real madrid b \| 38 \| 42+4 \| 15 \| 12 \| 11 \| 57 \| 41 \| 16 row 7 : 7 \| atletico marbella \| 38 \| 42+4 \| 17 \| 8 \| 13 \| 45 \| 41 \| 4 row 8 : 8 \| barcelona b \| 38 \| 39+1 \| 15 \| 9 \| 14 \| 59 \| 55 \| 4 row 9 : 9 \| cp merida \| 38 \| 39+1 \| 13 \| 13 \| 12 \| 43 \| 42 \| 1 row 10 : 10 \| cd castellon \| 38 \| 36-2 \| 13 \| 10 \| 15 \| 40 \| 45 \| -5 row 11 : 11 \| cd badajoz \| 38 \| 36-2 \| 14 \| 8 \| 16 \| 37 \| 36 \| 1 row 12 : 12 \| sd compostela \| 38 \| 35-3 \| 10 \| 15 \| 13 \| 35 \| 39 \| -4 row 13 : 13 \| villarreal cf \| 38 \| 34-4 \| 13 \| 8 \| 17 \| 38 \| 51 \| -14 row 14 : 14 \| palamos cf \| 38 \| 33-5 \| 12 \| 9 \| 17 \| 33 \| 50 \| -17 row 15 : 15 \| athletic de bilbao b \| 38 \| 33-5 \| 9 \| 15 \| 14 \| 33 \| 34 \| -1 row 16 : 16 \| sd eibar \| 38 \| 32-6 \| 10 \| 12 \| 16 \| 33 \| 44 \| -11 row 17 : 17 \| ue figueres \| 38 \| 32-6 \| 11 \| 10 \| 17 \| 41 \| 59 \| -18 row 18 : 18 \| cd lugo \| 38 \| 25-13 \| 7 \| 11 \| 20 \| 23 \| 41 \| -18 row 19 : 19 \| sestao \| 38 \| 24-14 \| 7 \| 10 \| 21 \| 29 \| 54 \| -25 row 20 : 20 \| ce sabadell fc 1 \| 38 \| 24-14 \| 8 \| 8 \| 22 \| 30 \| 57 \| -27 ] Execute this SQL based on the above table: select club where goal difference = 1	cp merida, cd badajoz
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select ( select bronze where nation = 'colombia' ) <= 1134	1
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select name of show group by name of show order by count ( episodes ) desc limit 1	the super trio show
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where pos. = 'dnf'	7
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select ( select total seats where governorate = 'al-muthanna' ) - ( select total seats where governorate = 'najaf' )	-2.0
[ header: # \| secretary of state \| prime minister \| tenure row 1 : 1 \| hector louis langevin \| macdonald \| july 1, 1867 - dec row 2 : 4 \| richard william scott \| mackenzie \| january 9, 1874 - row 3 : 6 \| john o'connor \| macdonald \| november 8, 1880 - may 19, row 4 : 9 \| james colebrooke patterson \| abbott \| january 25, 1892 - row 5 : None \| joseph alderic ouimet \| bowell \| december 21, 1895 - jan row 6 : 13 \| sir charles tupper \| bowell \| january 15, 1896 - row 7 : 15 \| charles murphy \| laurier \| october 9, 1908 - row 8 : 17 \| louis coderre \| borden \| october 29, 1912 - row 9 : 18 \| pierre edouard blondin \| borden \| october 6, 1915 - row 10 : 19 \| esioff leon patenau \| borden \| january 8, 1917 - jun row 11 : None \| albert sevigny (acting) \| borden \| june 13, 1917 - august 24, 1917 row 12 : 22 \| arthur lewis sifton \| borden \| december 31, 1919 - july row 13 : 22 \| arthur lewis sifton \| meighen \| july 10, 1920 - janu row 14 : 26 \| walter edward foster \| king \| september 26, 1925 - november 12, row 15 : 27 \| guillaume andre fauteux \| meighen \| august 23, 1926 - september 25, 19 row 16 : 28 \| fernand rinfret \| king \| september 25, 1926 - august 7, 1930 row 17 : 35 \| jack pickersgill \| st. laurent \| june 11, 1953 - june row 18 : 38 \| henri courtemanche \| diefenbaker \| may 12, 1958 - june 19, 1960 row 19 : None \| leon balcer (acting minister) \| diefenbaker \| june 21, 1960 - oc row 20 : 39 \| noel dorion \| diefenbaker \| october 11, 1960 - row 21 : 43 \| jean marchand \| trudeau \| april 20, 1968 - ju row 22 : 44 \| gerard pelletier \| trudeau \| july 5, 1968 - november row 23 : 45 \| james hugh faulk \| trudeau \| november 27, 1972 - september 13, row 24 : 46 \| john roberts \| trudeau \| september 14, 1976 - june 3, row 25 : 47 \| david macdonald \| clark \| june 4, 1979 - march 2, 1980 row 26 : 49 \| gerald regan \| trudeau \| september 22, 1981 - octo row 27 : 50 \| serge joyal \| turner \| june 30, 1984 - september 16, row 28 : 54 \| lucien bouchard \| mulroney \| march 31, 1988 - january 29, row 29 : 55 \| gerry weiner \| mulroney \| january 30, 1989 - a row 30 : 57 \| monique landry \| mulroney \| january 4, 1993 - jun ] Execute this SQL based on the above table: select secretary of state order by # desc limit 1	monique landry
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select count ( men's winner ) where time (h:m:s) = '1:14:38'	0
[ header: name \| year built \| country \| town \| height \| remarks row 1 : glacial aerial tramway kaprun i \| 1966 \| austria \| kaprun \| 113.6 m \| the tallest pylon is on the third row 2 : mississippi aerial river transit \| 1984 \| usa \| new orleans \| 109 m \| the tallest pylon on a row 3 : torre jaume i \| 1931 \| spain \| barcelona \| 107 m \| intermediate stop of the harbour aerial tramway, also row 4 : gant hohtaelli aerial tram \| None \| switzerland \| zermatt \| 94 m \| one pylon row 5 : london emirates air line \| early 2012 \| uk \| london \| 88 m \| north main tower. river thames aerial row 6 : singapore cable car \| 1972 \| singapore \| singapore \| 88 m \| pylon i row 7 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 85 m \| pylon ii row 8 : nizhny novgorod vol \| 2012 \| russia \| nizhny novgorod \| 82 m \| None row 9 : mittersill goods aerial tramway \| 1940s \| austria \| mittersill \| 80 m \| two pylons for a tramway row 10 : singapore cable car \| 1972 \| singapore \| singapore \| 80 m \| pylon ii row 11 : 3s aerial tramway \| 2004 \| austria \| kitzbuhel \| 80 m \| one pylon row 12 : torre sant sebasti \| 1931 \| spain \| barcelona \| 78 m \| terminal of harbour aerial tramway row 13 : roosevelt island tram \| 1976 \| usa \| new york city \| 76 m \| central pylon of commuter tramway row 14 : wendelstein aerial tramway \| 1970 \| germany \| bayerischzell-osterhof \| 75 m \| None row 15 : vinpearl cable car \| 2007 \| vietnam \| nha trang \| 75 m \| 7 pylons standing in the sea. row 16 : sandia peak tramway \| 1965 \| usa \| albuquerque \| 70.7 m \| pylon 1, inclined at an angle of 18 row 17 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 65 m \| pylon i ] Execute this SQL based on the above table: select count ( * ) where town = 1555	0
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select district order by altitude (m) limit 1	thrissur
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select constituency name where constituency name in ( 'jonai' , 'tinsukia' ) order by constituency number desc limit 1	tinsukia
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( * ) where position = 1144 and position = 612	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 date = 'oct 19, 1975'	san antonio texas open
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| new caledonia \| 120 \| 107 \| 61 \| 288 row 2 : 2 \| tahiti \| 60 \| 42 \| 42 \| 144 row 3 : 3 \| papua new guinea \| 48 \| 25 \| 48 \| 121 row 4 : 4 \| fiji \| 33 \| 44 \| 53 \| 130 row 5 : 5 \| samoa \| 22 \| 17 \| 34 \| 73 row 6 : 6 \| nauru \| 8 \| 10 \| 10 \| 28 row 7 : 7 \| tonga \| 4 \| 6 \| 10 \| 20 row 8 : 8 \| micronesia \| 3 \| 0 \| 0 \| 3 row 9 : 9 \| cook islands \| 2 \| 6 \| 4 \| 12 row 10 : 10 \| wallis and futuna \| 2 \| 3 \| 7 \| 12 row 11 : 11 \| vanuatu \| 1 \| 8 \| 8 \| 17 row 12 : 12 \| kiribati \| 1 \| 6 \| 6 \| 13 row 13 : 13 \| northern mariana islands \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| guam \| 0 \| 6 \| 5 \| 11 row 15 : 15 \| solomon islands \| 0 \| 5 \| 17 \| 22 row 16 : 16 \| niue \| 0 \| 3 \| 3 \| 6 row 17 : 17 \| tuvalu \| 0 \| 2 \| 1 \| 3 row 18 : 18 \| palau \| 0 \| 1 \| 3 \| 4 row 19 : 19 \| american samoa \| 0 \| 0 \| 0 \| 0 row 20 : 19 \| marshall islands \| 0 \| 0 \| 0 \| 0 row 21 : 19 \| norfolk island \| 0 \| 0 \| 0 \| 0 row 22 : 19 \| tokelau \| 0 \| 0 \| 0 \| 0 row 23 : total \| total \| 305 \| 291 \| 312 \| 908 ] Execute this SQL based on the above table: select nation where nation != 'niue' and bronze = ( select bronze where nation = 'niue' )	palau
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( league ) where division > 4	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	september 26
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : st gall \| 1401: imperial city \| None \| None \| None \| 1454: associate of the swis row 2 : salm-morchingen \| wild- and rhinegraviate \| upp rhen \| None \| 1607 \| partitioned from salm-kyrburg row 3 : saxe-meissen \| duchy \| upp sax \| pr \| 1485 \| partitioned from saxe-witt row 4 : sayn-altenkirchen \| county \| None \| None \| None \| to saxe-eisenach to row 5 : schonburg (schonburg) \| 1700: hre county 1790: \| upp sax \| None \| None \| 1100s; 1st mention of schon row 6 : schwarzburg-arenstadt \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1651-1669 and 1681-1716: row 7 : schwarzburg-keula \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1740: re-annexed row 8 : schweinfurt \| 1254: free imperial town \| franc \| sw \| 1282 \| 791: 1st mention of schw row 9 : seckau \| 1218: bishopric 1218: h \| aust \| None \| 1218 \| None row 10 : solms count of solms, \| county \| None \| None \| 1129 \| 1258: partitioned into solms row 11 : solms-sachsenfeld \| county \| upp rhen \| None \| 1741 \| partitioned from solms-wilden row 12 : stettenfels \| lordship \| None \| None \| None \| None ] Execute this SQL based on the above table: select notes where notes != '1258: partitioned into solms-braunfels and solms-burg-solms' and type = ( select type where notes = '1258: partitioned into solms-braunfels and solms-burg-solms' )	to saxe-eisenach to brandenburg-ansbach to prussia, partitioned from solms-wildenfels
[ header: team \| seasons \| games \| wins \| ties \| losses \| goals for \| goals against \| goal diff \| points row 1 : montreal canadiens \| 94 \| 6,120 \| 3,135 \| 837 \| 2,148 \| 19,929 \| 16,416 \| 3,513 \| 7,203 row 2 : boston bruins \| 87 \| 5,960 \| 2,856 \| 791 \| 2,313 \| 19,109 \| 17,459 \| 1,650 \| 6,609 row 3 : philadelphia flyers \| 44 \| 3,506 \| 1,756 \| 457 \| 1,293 \| 11,783 \| 10,270 \| 1,513 \| 4,060 row 4 : buffalo sabres \| 41 \| 3,280 \| 1,569 \| 409 \| 1,302 \| 10,868 \| 9,875 \| 993 \| 3,630 row 5 : los angeles kings \| 44 \| 3,506 \| 1,428 \| 424 \| 1,654 \| 11,306 \| 12,016 \| -710 \| 3,373 row 6 : vancouver canucks \| 41 \| 3,280 \| 1,353 \| 391 \| 1,536 \| 10,378 \| 1,1024 \| -646 \| 3,179 row 7 : washington capitals \| 37 \| 2,968 \| 1,305 \| 303 \| 1,360 \| 9,407 \| 9,739 \| -332 \| 3,004 row 8 : new jersey devils (kansas \| 37 \| 2,968 \| 1,260 \| 328 \| 1380 \| 8,931 \| 9,590 \| -659 \| 2,915 row 9 : colorado avalanche (que \| 32 \| 2,568 \| 1,174 \| 261 \| 1,133 \| 8,564 \| 8,417 \| 147 \| 2,681 row 10 : phoenix coyotes (win \| 32 \| 2,568 \| 1,063 \| 266 \| 1,239 \| 8,058 \| 8,809 \| -756 \| 2,473 row 11 : carolina hurricanes (hartford whaler \| 32 \| 2,568 \| 1,049 \| 263 \| 1,256 \| 7,808 \| 8,599 \| -791 \| 2,447 row 12 : san jose sharks \| 20 \| 1,608 \| 721 \| 121 \| 766 \| 4,553 \| 4,744 \| -191 \| 1,657 row 13 : ottawa senators \| 19 \| 1,528 \| 679 \| 115 \| 734 \| 4,401 \| 4,506 \| -105 \| 1,556 row 14 : anaheim ducks \| 18 \| 1,444 \| 638 \| 107 \| 699 \| 3,863 \| 4,021 \| -158 \| 1,477 row 15 : tampa bay lightning \| 19 \| 1,528 \| 588 \| 112 \| 828 \| 4,058 \| 4,842 \| -784 \| 1,384 row 16 : minnesota wild \| 11 \| 902 \| 405 \| 55 \| 442 \| 2,259 \| 2,338 \| -79 \| 945 row 17 : winnipeg jets (atlant \| 12 \| 984 \| 379 \| 45 \| 550 \| 2,690 \| 3,260 \| -570 \| 891 row 18 : new york americans (1925-1941) \| 17 \| 784 \| 255 \| 127 \| 402 \| 1,643 \| 2,182 \| -539 \| 637 row 19 : montreal maroons \| 14 \| 622 \| 271 \| 91 \| 260 \| 1,474 \| 1,405 \| 69 \| 633 row 20 : quebec bulldogs (1919-1920 \| 6 \| 150 \| 51 \| 1 \| 98 \| 505 \| 652 \| -147 \| 103 row 21 : montreal wanderers \| 1 \| 6 \| 1 \| 0 \| 5 \| 17 \| 35 \| -18 \| 2 ] Execute this SQL based on the above table: select ( select losses where team = 'tampa bay lightning' ) - ( select losses where team = 'los angeles kings' )	-826.0
[ header: 2011 rank \| 2010 rank \| 2009 rank \| 2008 rank \| 2007 rank \| company (country) \| 2011 arms sales (us$ m.) \| 2010 arms sales (us$ m.) \| 2009 arms sales (us$ m.) \| 2008 arms sales (us$ m.) \| 2007 arms sales (us$ m.) \| arms sales as share of company's total sales (%), row 1 : 1 \| 1 \| 1 \| 2 \| 3 \| lockheed martin \| 36270 \| 35730 \| 33430 \| 29880 \| 29400 \| 78 row 2 : 2 \| 3 \| 3 \| 3 \| 1 \| boeing \| 31830 \| 31360 \| 32300 \| 29200 \| 30480 \| 46 row 3 : 3 \| 2 \| 2 \| 1 \| 2 \| bae systems \| 29150 \| 32880 \| 33250 \| 32420 \| 29860 \| 95 row 4 : 4 \| 5 \| 5 \| 5 \| 5 \| general dynamics \| 23760 \| 23940 \| 25590 \| 22780 \| 21520 \| 73 row 5 : 5 \| 6 \| 6 \| 6 \| 6 \| raytheon \| 22470 \| 22980 \| 21030 \| 23080 \| 19540 \| 90 row 6 : 6 \| 4 \| 4 \| 4 \| 4 \| northrop grumman \| 21390 \| 28150 \| 27000 \| 26090 \| 24600 \| 81 row 7 : 7 \| 7 \| 7 \| 7 \| 7 \| airbus group \| 16390 \| 16360 \| 17900 \| 15930 \| 13100 \| 24 row 8 : 8 \| 8 \| 8 \| 8 \| 9 \| finmeccanica \| 14560 \| 14410 \| 13280 \| 13020 \| 9850 \| 60 row 9 : 9 \| 9 \| 9 \| 9 \| 8 \| l-3 communications \| 12520 \| 13070 \| 13010 \| 12160 \| 11240 \| 83 row 10 : 10 \| 10 \| 10 \| 11 \| 11 \| united technologies corporation \| 11640 \| 11410 \| 11110 \| 9980 \| 8760 \| 20 row 11 : 11 \| 11 \| 11 \| 10 \| 10 \| thales group \| 9480 \| 9950 \| 10200 \| 10760 \| 9350 \| 52 row 12 : 12 \| 12 \| 12 \| 12 \| 12 \| saic \| 7940 \| 8230 \| 8030 \| 7350 \| 6250 \| 75 row 13 : 13 \| None \| None \| None \| None \| huntington ingalls industries \| 6380 \| None \| None \| None \| None \| 97 row 14 : 14 \| 15 \| 14 \| 15 \| 15 \| honeywell \| 5280 \| 5400 \| 5380 \| 5310 \| 5020 \| 14 row 15 : 15 \| 16 \| 16 \| 25 \| 14 \| safran \| 5240 \| 4800 \| 4740 \| 3020 \| 5230 \| 32 row 16 : 16 \| 14 \| 13 \| 14 \| 13 \| computer sciences corp \| 4860 \| 5940 \| 6050 \| 5710 \| 5420 \| 31 row 17 : 17 \| 17 \| 19 \| 17 \| 17 \| rolls-royce \| 4670 \| 4330 \| 4140 \| 4720 \| 4580 \| 26 row 18 : 18 \| 21 \| None \| None \| None \| united aircraft corporation \| 4440 \| 3440 \| None \| None \| None \| 80 row 19 : 19 \| 13 \| 27 \| 37 \| 45 \| oshkosh corporation \| 4370 \| 7080 \| 2770 \| 2070 \| 1570 \| 58 row 20 : 20 \| 18 \| 18 \| 22 \| 20 \| general electric \| 4100 \| 4300 \| 4700 \| 3650 \| 3460 \| 3 row 21 : 21 \| 19 \| 17 \| 16 \| 19 \| itt corp \| 4020 \| 4000 \| 4730 \| 5170 \| 3850 \| 69 row 22 : 22 \| 20 \| 22 \| 18 \| 23 \| almaz-antey \| 3690 \| 3950 \| 3260 \| 4340 \| 2780 \| 85 ] Execute this SQL based on the above table: select count ( company (country) ) where company (country) = 769	0
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select count ( origin ) where no. < 7	6
[ header: year \| author \| illustrator \| title \| publisher row 1 : 1982 \| angela carter (ed. and translator \| michael foreman \| sleeping beauty and other favourite fairy tales \| v. gollancz row 2 : 1983 \| anthony browne \| browne \| gorilla \| julia macrae row 3 : 1984 \| john burningham \| burningham \| granpa \| j. cape row 4 : 1985 \| ted hughes (1968) \| andrew davidson \| the iron man \| faber row 5 : 1986 \| allan ahlberg \| janet ahlberg \| the jolly postman \| heinemann row 6 : 1987 \| charles causley \| charles keeping \| jack the treacle eater \| macmillan row 7 : 1988 \| lewis carroll (1865) \| anthony browne \| alice's adventures in wonderland \| julia macrae row 8 : 1989 \| martin waddell \| barbara firth \| the park in the dark \| walker row 9 : 1990 \| quentin blake \| blake \| all join in \| j. cape row 10 : 1991 \| colin mcnaughton \| mcnaughton \| have you seen who's just moved in next \| walker row 11 : 1992 \| raymond briggs \| briggs \| the man \| julia macrae row 12 : 1993 \| karen wallace \| mike bostock \| think of an eel \| walker row 13 : 1994 \| trish cooke \| helen oxenbury \| so much \| walker row 14 : 1995 \| kathy henderson \| patrick benson \| the little boat \| walker row 15 : 1996 \| babette cole \| cole \| drop dead \| j. cape row 16 : 1997 \| william mayne \| jonathan heale \| lady muck \| heinemann row 17 : 1998 \| anthony browne \| browne \| voices in the park \| doubleday row 18 : 1999 \| lewis carroll (1865) \| helen oxenbury \| alice's adventures in wonderland \| walker ] Execute this SQL based on the above table: select abs ( ( select count ( * ) where title = 'the jolly postman' ) - ( select count ( * ) where title = 'voices in the park' ) )	0
[ header: date \| opponent \| home/away \| field \| result row 1 : june 2 \| lizards \| away \| hofstra stadium \| l 8-21 row 2 : june 7 \| pride \| away \| commerce bank ballpark \| l 7-12 row 3 : june 15 \| cannons \| home \| the ballpark at harbor yard \| l 18-19 ot row 4 : june 21 \| bayhawks \| home \| dunning field \| l 7-15 row 5 : june 22 \| bayhawks \| away \| ravens stadium \| w 15-12 row 6 : june 28 \| lizards \| home \| the ballpark at harbor yard \| l 20-21 ot row 7 : july 6 \| pride \| home \| the ballpark at harbor yard \| l 16-17 ot row 8 : july 12 \| rattlers \| away \| frontier field \| l 5-15 row 9 : july 18 \| cannons \| away \| cawley memorial stadium \| l 13-22 row 10 : july 25 \| rattlers \| home \| the ballpark at harbor yard \| l 12-16 row 11 : july 27 \| cannons \| away \| cawley memorial stadium \| w 19-17 row 12 : july 31 \| lizards \| home \| the ballpark at harbor yard \| w 15-13 row 13 : august 9 \| cannons \| home \| the ballpark at harbor yard \| l 15-17 row 14 : august 17 \| lizards \| away \| hofstra stadium \| l 11-18 ] Execute this SQL based on the above table: select result where result != 'w 15-13' and opponent = ( select opponent where result = 'w 15-13' )	l 8-21, l 20-21 ot, l 11-18
[ 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 terrain order by id desc limit 1	plain stage
[ 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 density (inhabitants/km2) order by area (km2) desc limit 1	461.8
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select romanians order by year asc limit 1	69.3%
[ header: year \| show \| role \| channel \| notes row 1 : 2004 \| mtv roadies season 2 \| contestant \| mtv india \| winner of mtv roadies season 2 row 2 : 2007 \| kayamath \| saket shergil \| star plus \| None row 3 : 2008 \| pepsi mtv wass \| video jockey \| mtv india \| co-hosted the show with mt row 4 : 2008 \| mtv fully faltoo movie- \| fakir lan \| mtv \| spoof of shahrukh row 5 : 2008 \| mtv fully faltoo movie- \| prince jalebi \| mtv \| spoof of the movie jodha row 6 : 2008 \| mtv roadies hell down under \| anchor \| mtv india \| anchor at the auditions only row 7 : 2008 \| ek thi rajkumari \| antagonist \| zee next \| antagonist row 8 : 2008-09 \| fantastic 5 \| video jockey \| mtv india \| None row 9 : 2009 \| india's got talent season 1 \| anchor \| colors tv \| co-hosted the show with nikh row 10 : 2009 \| kurkure desi beats rock on \| anchor \| mtv india \| anchor at the auditions only row 11 : 2008 \| mtv roadies season 7 \| anchor \| mtv india \| anchor at the auditions only row 12 : 2009 \| stripped \| anchor \| mtv india \| None row 13 : 2009 \| amul music ka maha muqq \| anchor \| star plus \| None row 14 : 2010 \| extra innings t20 for indian premier league \| presenter \| set max \| co-hosted the show with gaurav row 15 : 2010 \| india's got talent season 2 \| anchor \| colors tv \| co-hosted the show with nikh row 16 : 2010 \| kurkure desi beats rock on \| anchor \| mtv india \| co-hosted the show with lis row 17 : 2010 - present \| airtel super star buzz \| anchor \| star plus \| None row 18 : 2011 \| mtv grind \| anchor \| mtv india \| None row 19 : 2011 \| mtv roadies season 8 graveyard \| anchor \| mtv india \| None row 20 : 2011 \| just dance \| anchor \| star plus \| winner, indian television academy award for best anchor ] Execute this SQL based on the above table: select role where show = 'kurkure desi beats rock on with mtv season 2'	anchor
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : democratic \| 3683 \| 251 \| 3934 \| 36.93% row 2 : republican \| 1322 \| 78 \| 1400 \| 13.14% row 3 : unaffiliated \| 4709 \| 606 \| 5315 \| 49.90% row 4 : minor parties \| 3 \| 0 \| 3 \| 0.03% row 5 : total \| 9717 \| 935 \| 10652 \| 100% ] Execute this SQL based on the above table: select count ( party ) where party = 'republican'	1
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select % where rank = '2nd'	12.3, 31.5, 29.6, 33.7, 24.4