Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1955 \| white embossed digits with white border \| "grand canyon state" embossed in white \| a-12345 \| None \| coded by county of issuance row 2 : 1958 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to bzz \| None row 3 : 1960 \| blue embossed digits with blue border \| grand canyon state embossed in blue and \| abc-123 \| caa-001 to dzz-999 \| None row 4 : 1963 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| eaa-001 to fzz \| None row 5 : 1965 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| haa-001 to jzz-999 \| None row 6 : 1968 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| kaa-001 to nzz- \| None row 7 : 1972 \| green embossed digits with green border \| grand canyon state embossed in green and \| abc-123 \| paa-001 to wzz-999 \| None row 8 : 1980 \| white embossed digits with white emb \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to nzz \| None row 9 : 1996 \| dark green embossed digits on \| grand canyon state in dark green thin plain letters at \| 123·abc \| 101·aaa to 999·z \| awarded "plate of the year" for best new row 10 : 2008 \| dark green screened digits on screened \| grand canyon state in dark green thin plain letters at \| abc1234 \| aaa0001 to present \| None ] Execute this SQL based on the above table: select slogan order by first issued desc limit 1	grand canyon state in dark green thin plain letters at bottom right in orange part of screen
[ 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 no. of athletes where = '4th' order by no. of athletes asc limit 1	373.0
[ header: class \| type \| ships \| displacement \| note row 1 : rari class \| tug supply vessel \| a635 revi \| 1,450 tonnes \| None row 2 : malabar class \| ocean going tug \| a664 malabar a6 \| 1,440 tonnes \| ice-breaking capabilities to 2 meters level row 3 : ut507 class \| salvage tug \| abeille flandre abeille languedoc \| 1,500 tonnes \| chartered row 4 : ut515 class \| salvage tug \| abeille bourbon abeille libert \| 4,000 tonnes \| chartered row 5 : ut710 class \| support, assistance, pollution control vessel \| argonaute jason \| 2,100 tonnes \| chartered, configured to accommodate nato row 6 : ut711 class \| support, assistance, pollution control vessel \| alcyon ailette \| 2,000 tonnes \| chartered row 7 : None \| training ships \| vn partisan \| 2,250 tonnes \| chartered row 8 : None \| training ships \| vn rebel \| None \| chartered ] Execute this SQL based on the above table: select note group by note order by count ( * ) desc limit 1	chartered
[ header: date \| competition \| home team \| score \| away team \| score row 1 : 16 october 2004 \| powergen cup \| bedford \| None \| tabard \| None row 2 : 15 february 2005 \| national division one \| bedford \| 26 \| otley \| 13 row 3 : 19 february 2005 \| national division one \| bedford \| 16 \| london welsh \| 17 row 4 : 26 february 2005 \| national division one \| sedgley park \| 12 \| bedford \| 23 row 5 : 12 march 2005 \| national division one \| bedford \| 23 \| cornish pirates \| 28 row 6 : 2 april 2005 \| national division one \| bedford \| 39 \| plymouth albion \| 21 row 7 : 9 april 2005 \| national division one \| birmingham solihull \| 18 \| bedford \| 29 ] Execute this SQL based on the above table: select competition where score > 4 and score < 1516	national division one, national division one, national division one, national division one, national division one, national division one
[ header: institution \| location \| founded \| type \| enrollment \| joined \| nickname row 1 : bryan college \| dayton, tennessee \| 1930 \| private (non-denominational) \| 1044 \| 2001 \| lions row 2 : columbia college \| columbia, south carolina \| 1854 \| private (methodist) \| 1200 \| 2011 \| fighting koalas row 3 : milligan college \| elizabethton, \| 1866 \| private (disciples of christ) \| 1006 \| 2001 \| buffaloes row 4 : montreat college \| montreat, north carolina \| 1916 \| private (presbyterian) \| 1145 \| 2001 \| cavaliers row 5 : point university \| west point, georgia \| 1937 \| private (christian churches and churches of \| 1000 \| 2011 \| skyhawks row 6 : reinhardt university \| waleska, georgia \| 1883 \| private (methodist) \| 1057 \| 2009 \| eagles row 7 : st. andrews university \| laurinburg, north carolina \| 1958 \| private \| 800 \| 2012 \| knights row 8 : savannah college of art and design \| atlanta, georgia \| 2005 \| private \| 2000 \| 2012 \| bees row 9 : tennessee wesleyan college \| athens, tennessee \| 1857 \| private (methodist) \| 1103 \| 2001 \| bulldogs row 10 : truett-mcconnell college \| cleveland, georgia \| 1946 \| private/christian (baptist) \| 550 \| 2013 \| bears row 11 : union college \| barbourville, kentucky \| 1879 \| private/christian (methodist) \| 1368 \| 2001 \| bulldogs row 12 : virginia intermont college \| bristol, virginia \| 1884 \| private/christian (baptist) \| 916 \| 2001 \| cobras ] Execute this SQL based on the above table: select nickname order by enrollment desc limit 1	bees
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select ( select elevation (ground station) where construction year = 1987 ) - ( select elevation (ground station) where construction year = 2000 )	348
[ header: stamp issue date \| stamp set \| #cards \| card set ref \| qty. issued row 1 : 16 may 1973 \| county cricket, 1873-1973 \| one \| phq 1 \| 20000 row 2 : 15 august 1973 \| 400th anniversary, birth of inigo \| one \| phq 2 \| 20000 row 3 : 12 september 1973 \| 19th commonwealth parliamentary conference \| one \| phq 3 \| 15200 row 4 : 14 november 1973 \| royal wedding (the princess anne) \| one \| phq 4 \| 290000 row 5 : 27 february 1974 \| british trees \| one \| phq 5 \| 16750 row 6 : 24 april 1974 \| fire service anniversary \| one \| phq 6 \| 30000 row 7 : 10 july 1974 \| medieval warriors \| four \| phq 7 \| 31750 row 8 : 9 october 1974 \| winston churchill centenary \| one \| phq 8 \| 114430 row 9 : 19 february 1975 \| bicentenary, birth j. \| one \| phq 9 \| 46250 row 10 : 23 april 1975 \| european architectural year \| three \| phq 10 \| 51000 row 11 : 11 june 1975 \| sailing \| one \| phq 11 \| 41350 row 12 : 13 august 1975 \| 150th anniversary of public railways \| four \| phq 12 \| 47500 row 13 : 22 october 1975 \| jane austen bicentenary \| four \| phq 13 \| 27330 row 14 : 28 april 1976 \| social reformers \| one \| phq 14 \| 38350 row 15 : 2 june 1976 \| american bicentenary \| one \| phq 15 \| 60950 row 16 : 30 june 1976 \| roses \| four \| phq 16 \| 34250 ] Execute this SQL based on the above table: select #cards where id = ( select id where #cards = 'one' ) + 1	one
[ header: year \| film \| role \| language row 1 : 2004 \| 7g rainbow colony \| kadhir \| tamil row 2 : 2005 \| sukran \| ravi shankar \| tamil row 3 : 2005 \| ponniyin selvan \| venu \| tamil row 4 : 2006 \| kedi \| raghu \| tamil row 5 : 2008 \| brahmanandam drama company \| ravi \| telugu row 6 : 2008 \| netru indru naal \| vetri \| tamil row 7 : 2008 \| ninna nedu rep \| vijay \| telugu row 8 : 2009 \| kadhalna summa \| vetrivel \| tamil row 9 : 2011 \| aaranya kaandam \| sappai \| tamil ] Execute this SQL based on the above table: select role where film = 'sukran'	ravi shankar
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select role where id = ( select id where role = 'satya' ) + 1	dhiren kumar
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select count ( symbol ) where name = 'vanadium'	1
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select count ( vehicle )	7
[ header: rank \| name \| image \| height ft (m) \| floors \| year \| notes row 1 : 1 \| key tower \| \| 947 (289) \| 57 \| 1991 \| 104th-tallest building in the row 2 : 3 \| 200 public square \| \| 658 (201) \| 45 \| 1985 \| also known as the bp building tallest row 3 : 4 \| tower at erieview \| \| 529 (161) \| 40 \| 1964 \| tallest building constructed in cleveland in row 4 : 5 \| one cleveland center \| \| 450 (137) \| 31 \| 1983 \| None row 5 : 6 \| fifth third center \| \| 446 (136) \| 27 \| 1992 \| None row 6 : 7 \| federal court house tower \| \| 430 (131) \| 23 \| 2002 \| tallest building constructed in the city in the 2000 row 7 : 8 \| justice center complex \| \| 420 (128) \| 26 \| 1977 \| tallest building constructed in the city in the 1970 row 8 : 9 \| anthony j. celebrezze \| \| 419 (128) \| 31 \| 1967 \| None row 9 : 10 \| pnc center \| \| 410 (125) \| 35 \| 1980 \| originally known as the national city center; building was row 10 : 12 \| at&t huron road building \| \| 365 (111) \| 24 \| 1927 \| commonly known as ohio bell build row 11 : 13 \| rhodes tower \| \| 363 (111) \| 20 \| 1971 \| originally known as the university tower row 12 : 14 \| eaton center \| \| 356 (109) \| 28 \| 1983 \| None row 13 : 15 \| ernst & young tower \| \| 330 (101) \| 21 \| 2013 \| phase i of the flats east bank row 14 : 16 \| marriott at key center \| \| 320 (98) \| 28 \| 1991 \| tallest all-hotel building in the city row 15 : 17 \| mcdonald investment center \| \| 308 (94) \| 23 \| 1968 \| also known as key center formerly known as the row 16 : 18 \| 55 public square \| \| 300 (91) \| 22 \| 1958 \| tallest building constructed in the city the 1950s row 17 : 19 \| huntington bank building \| \| 289 (88) \| 21 \| 1924 \| None row 18 : 20 \| north point tower \| \| 285 (87) \| 20 \| 1990 \| None row 19 : 21 \| diamond building \| \| 282 (86) \| 23 \| 1972 \| None row 20 : 21 \| standard building \| \| 282 (86) \| 21 \| 1925 \| None row 21 : 23 \| 1717 east ninth building \| \| 275 (84) \| 21 \| 1959 \| also known as the east ohio row 22 : 24 \| keith building \| \| 272 (83) \| 21 \| 1922 \| None row 23 : 25 \| east tower \| \| 266 (81) \| 25 \| 1973 \| tallest all-residential building in the row 24 : 25 \| embassy suites tower \| \| 266 (81) \| 26 \| 1969 \| also known as embassy suites at reserve square row 25 : 27 \| superior building \| \| 265 (81) \| 22 \| 1922 \| None row 26 : 28 \| fenn tower \| \| 265 (81) \| 21 \| 1930 \| None row 27 : 29 \| landmark office towers \| \| 260 (79) \| 22 \| 1930 \| None row 28 : 30 \| penton media building \| \| 253 (77) \| 21 \| 1972 \| None ] Execute this SQL based on the above table: select ( select rank where name = 'diamond building' ) - ( select rank where name = 'embassy suites tower' )	-4.0
[ header: region \| country \| location \| size (m) \| payload (metric tonnes) \| degrees of freedom \| x horiz disp (mm) \| y horiz disp (mm) \| z vert disp (mm) \| x horiz vel (mm/s) \| y horiz vel (mm/s) \| z vert vel (mm/s) \| x horiz accel (m/s2) \| y horiz accel (m/s2) \| z vert accel (m/s2) \| max freq (hz) \| details checked row 1 : asia \| china \| xi'a university of architecture & \| 2 x 2 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : asia \| japan \| hitachi engineering corp \| 4 x 4 \| 20 \| 1 \| ±150 \| None \| None \| ±750 \| None \| None \| ±20 \| None \| None \| 30 \| None row 3 : asia \| japan \| ishikawajima harima \| 4.5 x 4.5 \| 35 \| 6 \| ±100 \| ±100 \| ±67 \| ±750 \| ±750 \| ±500 \| ±15 \| ±15 \| ±10 \| 50 \| None row 4 : asia \| japan \| kumagai-gumi corp \| 5 x 5 \| 64 \| 6 \| ±80 \| ±260 \| ±50 \| ±600 \| ±1500 \| ±500 \| ±30 \| ±10 \| ±10 \| 70 \| None row 5 : asia \| japan \| ministry of construction \| 6 x 8 \| 100 \| 2 \| ±75 \| None \| None \| ±600 \| None \| None \| ±7 \| None \| None \| 30 \| None row 6 : asia \| japan \| shimizu corporation \| 4 x 4 \| 20 \| 3 \| ±200 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| None row 7 : asia \| japan \| tobishima corp ltd \| 4 x 4 \| 20 \| 2 \| ±75 \| None \| None \| None \| None \| None \| ±15 \| None \| None \| 30 \| None row 8 : canada \| canada \| university of british columbia \| 4 x 4 \| 30 \| 6 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 9 : europe \| france \| commissariat a l'energie \| 4 x 3 \| 20 \| 1 \| ±125 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| 27/01/2011 row 10 : europe \| italy \| european centre for training & research in earthquake engineering \| 5.6 x 7 \| 140 \| 1 \| ±500 \| None \| None \| ±2200 \| None \| None \| 59 \| None \| None \| 50 \| None row 11 : europe \| italy \| european centre for training & research in earthquake engineering \| 1.6 x 4.4 \| 5000 (vertical load) \| 5 \| ±500 \| ±265 \| 140 \| ±2200 \| ±600 \| ±250 \| 18 \| None \| None \| 20 \| None row 12 : europe \| spain \| cedex \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 13 : usa \| colorado \| anco engineers, inc boulder, colora \| 3 x 3 \| 10 \| 3 \| ±200 \| ±200 \| ±200 \| ±2000 \| ±2000 \| ±2000 \| ±30 \| ±30 \| ±30 \| 40 \| 16/10/2012 ] Execute this SQL based on the above table: select count ( region ) where size (m) = '4 x 3'	1
[ header: institution \| location \| enrollment \| nickname \| varsity sports \| rugby since \| head coach row 1 : clemson university \| clemson, south carolina \| 20576 \| tigers \| 19 \| 1967 \| justin hickey row 2 : maryland \| college park, maryland \| 37641 \| terrapins \| 20 \| 1968 \| jeff soeken row 3 : navy \| annapolis, maryland \| 4576 \| midshipmen \| 30 \| 1963 \| mike flanagan row 4 : north carolina \| chapel hill, north carolina \| 29340 \| tar heels \| 28 \| 1966 \| pete earsman row 5 : north carolina state \| raleigh, north carolina \| 34767 \| wolfpack \| 25 \| 1965 \| jim latham row 6 : university of virginia \| charlottesville, virginia \| 20895 \| cavaliers \| 25 \| 1961 \| jon roberts row 7 : virginia tech \| blacksburg, virginia \| 30379 \| hokies \| 21 \| 1891 / 1968 \| andy richards row 8 : wake forest \| winston-salem, north car \| 7079 \| demon deacons \| 18 \| 1973 \| patrick kane ] Execute this SQL based on the above table: select count ( location ) where varsity sports >= 902	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 12 \| 13 \| 6 \| 31 row 2 : 2 \| russia \| 10 \| 5 \| 6 \| 21 row 3 : 3 \| australia \| 8 \| 12 \| 6 \| 26 row 4 : 4 \| china \| 7 \| 4 \| 8 \| 19 row 5 : 5 \| germany \| 5 \| 6 \| 5 \| 16 row 6 : 6 \| japan \| 3 \| 3 \| 3 \| 9 row 7 : 7 \| netherlands \| 3 \| 2 \| 2 \| 7 row 8 : 8 \| great britain \| 2 \| 3 \| 3 \| 8 row 9 : 9 \| ukraine \| 2 \| 3 \| 2 \| 7 row 10 : 10 \| italy \| 2 \| 2 \| 1 \| 5 row 11 : 11 \| canada \| 2 \| 0 \| 1 \| 3 row 12 : 12 \| hungary \| 1 \| 4 \| 1 \| 6 row 13 : 13 \| spain \| 1 \| 2 \| 3 \| 6 row 14 : 14 \| poland \| 1 \| 1 \| 0 \| 2 row 15 : 15 \| france \| 1 \| 0 \| 2 \| 3 row 16 : 16 \| finland \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belarus \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| czech republic \| 0 \| 2 \| 0 \| 2 row 19 : 19 \| slovakia \| 0 \| 1 \| 1 \| 2 row 20 : 20 \| denmark \| 0 \| 1 \| 0 \| 1 row 21 : 20 \| croatia \| 0 \| 1 \| 0 \| 1 row 22 : 22 \| romania \| 0 \| 0 \| 2 \| 2 row 23 : 23 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 24 : 23 \| mexico \| 0 \| 0 \| 1 \| 1 row 25 : 23 \| serbia and montenegro \| 0 \| 0 \| 1 \| 1 row 26 : 23 \| south africa \| 0 \| 0 \| 1 \| 1 row 27 : 23 \| sweden \| 0 \| 0 \| 1 \| 1 row 28 : 23 \| tunisia \| 0 \| 0 \| 1 \| 1 row 29 : total \| total \| 62 \| 65 \| 59 \| 186 ] Execute this SQL based on the above table: select count ( * ) where nation = 'canada'	1
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select max ( final points )	15.0
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select waveband order by accuracy of amplitude2 measurements limit 1	v, r, i, j, h, k
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select name where name < ( select name where name = 'arthur tell schwab' ) order by name desc limit 1	alfred maasik
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select ( select year where role = 'pommel' ) - ( select year where role = 'mayor' )	-12
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select count ( date ) where attendance = 4154	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 7 \| 6 \| 1 \| 14 row 2 : 2 \| china \| 5 \| 5 \| 2 \| 12 row 3 : 3 \| japan \| 3 \| 1 \| 5 \| 9 row 4 : 4 \| hong kong \| 2 \| 3 \| 5 \| 10 row 5 : 5 \| chinese taipei \| 2 \| 0 \| 0 \| 2 row 6 : 6 \| iran \| 1 \| 3 \| 2 \| 6 row 7 : 7 \| thailand \| 1 \| 2 \| 3 \| 6 row 8 : 8 \| malaysia \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| kyrgyzstan \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| kazakhstan \| 0 \| 1 \| 0 \| 1 row 11 : 10 \| uzbekistan \| 0 \| 1 \| 0 \| 1 row 12 : total \| total \| 23 \| 23 \| 23 \| 69 ] Execute this SQL based on the above table: select nation where id = 1	south korea
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : 19 \| p +5.0 \| 7 \| chaparral cars inc \| phil hill mike spence \| chaparral 2f \| chevrolet 7.0l v \| 225 row 2 : 26 \| s 5.0 \| 16 \| ford france s.a \| pierre dumay henri greder \| ford gt40 mk. \| ford 4.7l v8 \| 179 row 3 : 27 \| p +5.0 \| 5 \| holman & moody \| roger mccluskey \| ford gt40 mk. \| ford 7.0l v8 \| 179 row 4 : 28 \| gt +5.0 \| 9 \| dana chevrolet inc \| bob bondurant dick guld \| chevrolet corvette \| chevrolet 7.0l v \| 167 row 5 : 29 \| p 2.0 \| 29 \| equipe matra sports \| jean-pierre beltoise \| matra ms630 \| brm 2.0l v8 \| 155 row 6 : 32 \| gt 2.0 \| 60 \| philippe farjon \| philippe farjon andre wick \| porsche 911s \| porsche 2.0l flat-6 \| 126 row 7 : 36 \| p +5.0 \| 8 \| chaparral cars inc \| bob johnson bruce jenning \| chaparral 2f \| chevrolet 7.0l v \| 91 row 8 : 39 \| p 2.0 \| 39 \| porsche system engineering \| udo schutz joe buzz \| porsche 910/6l \| porsche 2.0l flat-6 \| 84 row 9 : 41 \| p +5.0 \| 14 \| john wyer automotive engineering \| david piper richard thomp \| mirage m1 (ford gt \| ford 5.7l v8 \| 59 row 10 : 45 \| p 1.15 \| 53 \| s.e.c. automobiles \| andre guilhaudin ala \| cd sp66c \| peugeot 1.1l i4 \| 35 row 11 : 46 \| p 5.0 \| 26 \| north american racing team (nart) \| ricardo rodriguez chuck \| ferrari 365 p2 \| ferrari 4.4l v12 \| 30 row 12 : 47 \| p +5.0 \| 15 \| john wyer automotive engineering \| jacky ickx brian mu \| mirage m1 (ford gt \| ford 5.7l v8 \| 29 row 13 : 49 \| p +5.0 \| 12 \| lola cars ltd. / \| peter de klerk chr \| lola t70 mk.i \| aston martin 5.0l \| 25 row 14 : 50 \| s 5.0 \| 62 \| john wyer automotive engineering / vis \| mike salmon brian redman \| ford gt40 mk. \| ford 4.7l v8 \| 20 ] Execute this SQL based on the above table: select class where pos = 45	p 1.15
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select club where id = 3	bristol rovers
[ header: model \| launch \| code name \| fab (nm) \| bus interface \| memory (mib) \| core clock (mhz) \| memory clock (mhz) \| config core1 \| fillrate moperations/s \| fillrate mpixels/s \| fillrate mtextels/s \| fillrate mvertices/s \| memory bandwidth (gb/s) \| memory bus type \| memory bus width (bit) \| directx support row 1 : voodoo graphics \| october 1, 1996 \| sst1 \| 500 \| pci \| 2, 4 \| 50 \| 50 \| 1:0:1:1 \| 50 \| 50 \| 50 \| 0 \| 0.8 \| edo \| 128 \| 3 row 2 : voodoo rush \| april 1997 \| sst96 \| 500 \| agp 2x, pc \| 2, 4 \| 50 \| 50 \| 1:0:1:1 \| 50 \| 50 \| 50 \| 0 \| 0.4 \| edo \| 64 \| 3 row 3 : voodoo2 \| march 1, 1998 \| sst96 \| 350 \| pci \| 8, 12 \| 90 \| 90 \| 1:0:2:1 \| 90 \| 90 \| 180 \| 0 \| 0.72 \| edo \| 64 \| 3 row 4 : voodoo banshee \| june 22, 1998 \| banshee \| 350 \| agp 2x, pc \| 8, 16 \| 100 \| 100 \| 1:0:1:1 \| 100 \| 100 \| 100 \| 0 \| 1.6 \| sdr \| 128 \| 6 row 5 : velocity 200 \| july 26, 1999 \| avenger \| 250 \| agp 2x \| 12 \| 143 \| 143 \| 1:0:2:1 \| 143 \| 143 \| 286 \| 0 \| 2.288 \| sdr \| 128 \| 6 row 6 : voodoo3 1000 \| march 1999 \| avenger \| 250 \| agp 2x, pc \| 8, 16 \| 125 \| 125 \| 1:0:2:1 \| 125 \| 125 \| 250 \| 0 \| 2 \| sdr \| 128 \| 6 row 7 : voodoo3 2000 \| april 3, 1999 \| avenger \| 250 \| agp 2x, pc \| 16 \| 143 \| 143 \| 1:0:2:1 \| 143 \| 143 \| 286 \| 0 \| 2.288 \| sdr \| 128 \| 6 row 8 : voodoo3 3500 \| june 1999 \| avenger \| 250 \| agp 2x, pc \| 16 \| 183 \| 183 \| 1:0:2:1 \| 183 \| 183 \| 366 \| 0 \| 2.928 \| sdr \| 128 \| 6 row 9 : voodoo4 4200 \| never released \| vsa-100 \| 250 \| agp 4x, pc \| 32 \| 183 \| 183 \| 2:0:2:2 \| 366 \| 366 \| 366 \| 0 \| 1.464 \| sdr \| 64 \| 6 row 10 : voodoo4 4500 \| october 13, 2000 \| vsa-100 \| 250 \| agp 4x, pc \| 32 \| 166 \| 166 \| 2:0:2:2 \| 332 \| 332 \| 332 \| 0 \| 2.656 \| sdr \| 128 \| 6 row 11 : voodoo4 4800 \| never released \| vsa-100 \| 250 \| agp 4x, pc \| 32 \| 200 \| 200 \| 2:0:2:2 \| 400 \| 400 \| 400 \| 0 \| 3.2 \| sdr \| 128 \| 6 ] Execute this SQL based on the above table: select count ( memory bus type )	11
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select artist(s) where title < ( select title where artist(s) = 'mitchell niemeyer' ) order by title desc limit 1	tara mcdonald
[ header: pos \| no. \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| 75 \| mattia pasini \| aprilia \| 27 \| 39:44.091 \| 3 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 27 \| 0.01 \| 2 \| 20 row 3 : 3 \| 52 \| lukas pesek \| derbi \| 27 \| 0.111 \| 1 \| 16 row 4 : 5 \| 24 \| simone corsi \| gilera \| 27 \| 9.372 \| 9 \| 11 row 5 : 6 \| 1 \| thomas luthi \| honda \| 27 \| 10.57 \| 13 \| 10 row 6 : 7 \| 18 \| nicolas terol \| derbi \| 27 \| 11.835 \| 5 \| 9 row 7 : 8 \| 36 \| mika kallio \| ktm \| 27 \| 11.905 \| 4 \| 8 row 8 : 9 \| 6 \| joan olive \| aprilia \| 27 \| 26.017 \| 16 \| 7 row 9 : 10 \| 33 \| sergio gadea \| aprilia \| 27 \| 26.172 \| 12 \| 6 row 10 : 11 \| 32 \| fabrizio lai \| honda \| 27 \| 26.361 \| 6 \| 5 row 11 : 12 \| 38 \| bradley smith \| honda \| 27 \| 26.389 \| 14 \| 4 row 12 : 13 \| 11 \| sandro cortese \| honda \| 27 \| 26.48 \| 11 \| 3 row 13 : 14 \| 14 \| gabor talmacsi \| honda \| 27 \| 26.606 \| 7 \| 2 row 14 : 15 \| 71 \| tomoyoshi koyama \| malaguti \| 27 \| 27.068 \| 15 \| 1 row 15 : 16 \| 54 \| randy krummenacher \| ktm \| 27 \| 27.192 \| 21 \| None row 16 : 18 \| 17 \| stefan bradl \| ktm \| 27 \| 46.201 \| 18 \| None row 17 : 19 \| 95 \| georg frohlich \| honda \| 27 \| 56.274 \| 28 \| None row 18 : 20 \| 35 \| raffaele de rosa \| aprilia \| 27 \| 56.549 \| 25 \| None row 19 : 21 \| 26 \| vincent braillard \| aprilia \| 27 \| 56.782 \| 31 \| None row 20 : 23 \| 15 \| michele pirro \| aprilia \| 27 \| 57.474 \| 22 \| None row 21 : 24 \| 29 \| andrea iannone \| aprilia \| 27 \| 57.707 \| 20 \| None row 22 : 25 \| 7 \| alexis masbou \| malaguti \| 27 \| +1:04.698 \| 37 \| None row 23 : 26 \| 16 \| michele conti \| honda \| 27 \| +1:04.793 \| 32 \| None row 24 : 28 \| 43 \| manuel hernandez \| aprilia \| 27 \| +1:17.323 \| 30 \| None row 25 : 29 \| 23 \| lorenzo baroni \| honda \| 27 \| +1:17.507 \| 26 \| None row 26 : 30 \| 21 \| mateo tunez \| aprilia \| 27 \| +1:20.583 \| 29 \| None row 27 : 32 \| 98 \| toni wirsing \| honda \| 26 \| +1 lap \| 42 \| None row 28 : ret \| 44 \| karel abraham \| aprilia \| 16 \| retirement \| 33 \| None row 29 : ret \| 13 \| dino lombardi \| aprilia \| 13 \| retirement \| 41 \| None row 30 : ret \| 37 \| joey litjens \| honda \| 11 \| retirement \| 38 \| None row 31 : ret \| 22 \| pablo nieto \| aprilia \| 9 \| retirement \| 8 \| None ] Execute this SQL based on the above table: select sum ( no. )	1025.0
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select township order by population density (/mi2) asc limit 1	freeman
[ header: name \| year inducted \| position \| apps \| goals row 1 : luther blissett \| 2003 \| forward \| 503 \| 186 row 2 : tony coton \| 2004 \| goalkeeper \| 291 \| 0 row 3 : john mcclelland \| 2005 \| defender \| 234 \| 3 row 4 : tommy mooney \| 2006 \| forward \| 287 \| 64 row 5 : les taylor \| 2007 \| midfielder \| 211 \| 20 row 6 : david james \| 2008 \| goalkeeper \| 98 \| 0 row 7 : ian bolton \| 2009 \| defender \| 287 \| 36 row 8 : nigel gibbs \| 2010 \| defender \| 491 \| 7 row 9 : duncan welbourne \| 2011 \| defender \| 457 \| 25 row 10 : ross jenkins \| 2012 \| forward \| 398 \| 142 row 11 : robert page \| 2013 \| defender \| 218 \| 2 ] Execute this SQL based on the above table: select name where goals = 0	tony coton, david james
[ header: # \| title \| producer(s) \| featured guest(s) \| time row 1 : 1 \| "the c-quel" \| pillo jamel, the heatmakerz \| None \| 3:36 row 2 : 2 \| "2000 b.c. (before can \| ty fyffe, laze \| None \| 3:31 row 3 : 3 \| "life liquid" \| juju \| journalist \| 4:24 row 4 : 4 \| "shock therapy" (interlude) \| None \| None \| 1:10 row 5 : 5 \| "watch who u beef wit" \| chaos \| None \| 4:30 row 6 : 6 \| "i'll buss 'em \| dj clue, duro \| rakim \| 4:07 row 7 : 7 \| "mic-nificent" \| daniel "danny p \| None \| 3:13 row 8 : 8 \| "die slow" \| ty fyffe \| journalist \| 4:00 row 9 : 9 \| "doomsday news" \| chaos \| None \| 3:33 row 10 : 10 \| "lost @ "c"" \| taiwan green, ir \| None \| 4:59 row 11 : 11 \| "phuk u" \| mike "punch" harper \| None \| 4:04 row 12 : 12 \| "horsemen" \| None \| pharoahe monch \| 1:22 row 13 : 13 \| "horsementality" \| chaos \| ras kass, kill \| 5:59 row 14 : 14 \| "100 bars" \| mike "punch" harper \| None \| 4:58 row 15 : 15 \| "chaos" \| chaos \| None \| 2:29 ] Execute this SQL based on the above table: select featured guest(s) order by featured guest(s) desc limit 1	ras kass, killah priest, kurupt
[ header: team \| location \| stadium \| capacity \| manager \| captain \| kit manufacturer \| shirt sponsor row 1 : auckland city fc \| auckland \| kiwitea street \| 3500 \| ramon tribulietx \| ivan vicelich \| nike \| trillian trust inc row 2 : canterbury united \| christchurch \| asb football park \| 9000 \| keith braithwaite \| dan terris \| samurai \| robbie's bar and bistro row 3 : hawke's bay united \| napier \| bluewater stadium \| 5000 \| chris greatholder \| bill robertson \| samurai \| kinetic electrical row 4 : otago united \| dunedin \| forsyth barr stadium \| 30500 \| richard murray \| tristan prattley \| canterbury \| gran's remedy row 5 : team wellington \| wellington \| david farrington park \| 3000 \| matt calcott \| karl whalen \| adidas \| exodus health & fitness club row 6 : waikato fc \| hamilton \| porritt stadium \| 2700 \| mark cossey \| adam thomas \| nike \| the soccer shop row 7 : waitakere united \| waitakere city \| fred taylor park \| 2500 \| paul marshall \| jake butler \| lotto sport italia \| cuesports foundation row 8 : youngheart manawatu \| palmerston north \| memorial park \| 8000 \| stu jacobs \| nathan cooksley \| nike \| new zealand pharmaceuticals ] Execute this SQL based on the above table: select count ( manager ) where capacity >= 9000	2
[ header: week \| date \| opponent \| score \| result \| record row 1 : 1 \| july 9 \| vs. saskatche \| 31-21 \| win \| 1-0 row 2 : 2 \| july 16 \| at montreal concordes \| 36-0 \| win \| 2-0 row 3 : 3 \| july 24 \| vs. hamilton t \| 36-25 \| loss \| 2-1 row 4 : 4 \| aug 1 \| at edmonton eskimos \| 32-26 \| win \| 3-1 row 5 : 5 \| aug 8 \| vs. bc lions \| 29-16 \| win \| 4-1 row 6 : 6 \| aug 20 \| at calgary stampeders \| 35-4 \| win \| 5-1 row 7 : 7 \| aug 28 \| vs. ottawa rough \| 27-20 \| win \| 6-1 row 8 : 8 \| sept 5 \| at saskatchewan roughrid \| 36-35 \| win \| 7-1 row 9 : 9 \| sept 11 \| vs. calgary stampeders \| 15-11 \| loss \| 7-2 row 10 : 10 \| sept 18 \| at ottawa rough riders \| 38-28 \| loss \| 7-3 row 11 : 11 \| sept 25 \| vs. montreal concordes \| 19-16 \| win \| 8-3 row 12 : 12 \| oct 2 \| at bc lions \| 29-19 \| win \| 9-3 row 13 : 13 \| oct 11 \| vs. toronto argonaut \| 39-35 \| win \| 10-3 row 14 : 14 \| oct 17 \| at toronto argonauts \| 29-16 \| win \| 11-3 row 15 : 15 \| oct 23 \| vs. edmonton \| 33-17 \| loss \| 11-4 row 16 : 16 \| nov 7 \| at hamilton tiger-cat \| 24-21 \| loss \| 11-5 ] Execute this SQL based on the above table: select result where id < ( select id where result = 'win' and score = '29-16' )	win, win, loss, win
[ header: player \| league \| cup \| europa league \| total row 1 : garra dembele \| 25 \| 3 \| 8 \| 36 row 2 : daniel mladenov \| 5 \| 0 \| 5 \| 10 row 3 : ismail isa \| 3 \| 1 \| 4 \| 8 row 4 : hristo yovov \| 6 \| 0 \| 1 \| 7 row 5 : joazinho \| 2 \| 0 \| 2 \| 4 row 6 : vladimir gadzhe \| 2 \| 1 \| 1 \| 4 row 7 : darko tasevski \| 4 \| 0 \| 0 \| 4 row 8 : alex \| 3 \| 0 \| 0 \| 3 row 9 : jeanvion yulu-mat \| 3 \| 0 \| 0 \| 3 row 10 : mariyan ognyanov \| 2 \| 0 \| 0 \| 2 row 11 : serginho greene \| 1 \| 0 \| 1 \| 2 row 12 : yordan miliev \| 1 \| 0 \| 0 \| 1 row 13 : ivo ivanov \| 1 \| 0 \| 0 \| 1 row 14 : total \| 58 \| 5 \| 22 \| 85 ] Execute this SQL based on the above table: select sum ( total )	170.0
[ header: rank \| city \| population \| area (km2) \| density (inhabitants/km2) \| altitude (mslm) row 1 : 1st \| alessandria \| 94191 \| 203.97 \| 461.8 \| 95 row 2 : 2nd \| casale monferrato \| 36039 \| 86.32 \| 417.5 \| 116 row 3 : 3rd \| novi ligure \| 28581 \| 54.22 \| 527.1 \| 197 row 4 : 4th \| tortona \| 27476 \| 99.29 \| 276.7 \| 122 row 5 : 5th \| acqui terme \| 20426 \| 33.42 \| 611.2 \| 156 row 6 : 6th \| valenza \| 20282 \| 50.05 \| 405.2 \| 125 row 7 : 7th \| ovada \| 11912 \| 35.33 \| 337.2 \| 186 row 8 : 8th \| serravalle scrivia \| 6445 \| 16.02 \| 402.3 \| 225 row 9 : 9th \| arquata scrivia \| 6260 \| 30.36 \| 206.2 \| 248 row 10 : 10th \| castelnuovo scrivia \| 5473 \| 45.42 \| 120.5 \| 85 ] Execute this SQL based on the above table: select count ( * ) where area (km2) = '16.02'	1
[ header: abbreviation \| settlement \| district \| official name \| division \| cup \| other information row 1 : taaja \| taalintehdas \| turku \| taalintehtaan \| vitonen \| 2 \| None row 2 : tampere united \| tampere \| tampere \| tampere united \| veikkausliiga \| 3 \| None row 3 : tapa 2 \| tampere \| tampere \| tampereen palloil \| kutonen \| 1 \| None row 4 : tarmo \| kalvia, kokkola \| keski-pohjanma \| kalvian tarmo \| kutonen \| 1 \| None row 5 : team vanpa \| vantaa \| uusimaa \| team vanpa \| vitonen \| 1 \| None row 6 : tips \| tikkurila, vantaa \| uusimaa \| tikkurilan palloseura \| kolmonen \| 2 \| None row 7 : tjk liepo \| tampere \| tampere \| tampereen jalkapall \| vitonen \| 1 \| None row 8 : tkt \| tampere \| tampere \| tampereen kisat \| kolmonen \| 2 \| None row 9 : tops-90 \| tohmajarvi \| ita-suomi \| tohmajarven palloseura-90 \| nelonen \| 2 \| None row 10 : torre calcio \| turku \| turku \| torre calcio \| kutonen \| 1 \| None row 11 : tota \| tornio \| pohjois-suomi \| tornion tarmo \| kolmonen \| 1 \| None row 12 : tote/ap \| toukola \| helsinki \| toukolan teras / \| vitonen \| 2 \| None row 13 : tou/2 \| toivala, siilinjarvi \| ita-suomi \| toivalan urheilijat \| vitonen \| 1 \| None row 14 : tove \| pori \| satakunta \| toejoen veikot \| kolmonen \| 2 \| None row 15 : tp-47 \| tornio \| pohjois-suomi \| tornion pallo-47 \| kakkonen \| 3 \| None row 16 : tp-49 \| toijala, akaa \| tampere \| toijalan pallo-49 \| nelonen \| 2 \| also abbreviated as toip row 17 : tp-seinajoki \| seinajoki \| vaasa \| tp-seinajoki ( \| nelonen \| 1 \| None row 18 : tps \| turku \| turku \| turun palloseura \| veikkausliiga \| 3 \| None row 19 : tpv \| tampere \| tampere \| tampereen palloveiko \| ykkonen \| 3 \| None row 20 : tpv 2 \| tampere \| tampere \| tampereen pallo- \| kolmonen \| 2 \| None row 21 : trafk \| jarvenpaa \| uusimaa \| traskanda fotboll k \| kutonen \| 1 \| None ] Execute this SQL based on the above table: select official name where division = 'vitonen'	taalintehtaan janteva, team vanpa, tampereen jalkapalloklubi / liepo, toukolan teras / avauspotku, toivalan urheilijat / 2
[ header: whitworth size (in) \| core diameter (in) \| threads per inch \| pitch (in) \| tapping drill size row 1 : 1/16 \| 0.0411 \| 60 \| 0.0167 \| number drill 56 (1.2 mm) row 2 : 3/32 \| 0.0672 \| 48 \| 0.0208 \| number drill 49 (1.85 mm) row 3 : 1/8 \| 0.093 \| 40 \| 0.025 \| number drill 39 (2.55 mm) row 4 : 5/32 \| 0.1162 \| 32 \| 0.0313 \| number drill 30 (3.2 mm) row 5 : 3/16 \| 0.1341 \| 24 \| 0.0417 \| number drill 26 (3.7 mm) row 6 : 7/32 \| 0.1654 \| 24 \| 0.0417 \| number drill 16 (4.5 mm) row 7 : 1/4 \| 0.186 \| 20 \| 0.05 \| number drill 9 (5.1 mm) row 8 : 5/16 \| 0.2414 \| 18 \| 0.0556 \| letter drill f (6.5 mm) row 9 : 3/8 \| 0.295 \| 16 \| 0.0625 \| 5/16 in (7.94 mm) row 10 : 7/16 \| 0.346 \| 14 \| 0.0714 \| letter drill u (9.3 mm) row 11 : 1/2 \| 0.3933 \| 12 \| 0.0833 \| letter drill z (10.5 mm) row 12 : 9/16 \| 0.4558 \| 12 \| 0.0833 \| 12.1 mm (0.4764 in) row 13 : 5/8 \| 0.5086 \| 11 \| 0.0909 \| 13.5 mm (0.5315 in) row 14 : 11/16 \| 0.5711 \| 11 \| 0.0909 \| 15 mm (0.5906 in) row 15 : 3/4 \| 0.6219 \| 10 \| 0.1 \| 16.27 mm (0.6406 in) row 16 : 13/16 \| 0.6845 \| 10 \| 0.1 \| 18 mm (0.7087 in) row 17 : 7/8 \| 0.7327 \| 9 \| 0.1111 \| 19.25 mm (0.7579 in) row 18 : 15/16 \| 0.7953 \| 9 \| 0.1111 \| 20.75 mm (0.8169 in) row 19 : 1 \| 0.8399 \| 8 \| 0.125 \| 22 mm (0.8661 in) row 20 : 1 1/8 \| 0.942 \| 7 \| 0.1429 \| None row 21 : 1 1/4 \| 1.067 \| 7 \| 0.1429 \| None row 22 : 1 1/2 \| 1.2866 \| 6 \| 0.1667 \| None row 23 : 1 3/4 \| 1.4939 \| 5 \| 0.2 \| None row 24 : 2 \| 1.7154 \| 4.5 \| 0.2222 \| None row 25 : 2 1/2 \| 2.18 \| 4 \| 0.25 \| None ] Execute this SQL based on the above table: select abs ( ( select pitch (in) where tapping drill size = 'number drill 26 (3.7 mm)' ) - ( select pitch (in) where tapping drill size = 'letter drill f (6.5 mm)' ) )	0.013899999999999996
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1995-08-06 \| kyoto, japan \| costa rica \| 3-0 \| won \| friendly row 2 : 2 \| 1995-10-24 \| tokyo, japan \| saudi arabia \| 2-1 \| won \| friendly row 3 : 3 \| 1996-12-09 \| al ain, united arab emir \| uzbekistan \| 4-0 \| won \| 1996 afc asian cup group row 4 : 4 \| 1997-03-25 \| muscat, oman \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 5 : 5 \| 1997-06-22 \| tokyo, japan \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 6 : 6 \| 1997-11-01 \| seoul, korea republic \| south korea \| 2-0 \| won \| 1998 fifa world cup qualification row 7 : 7 \| 2000-10-14 \| sidon, lebanon \| saudi arabia \| 4-1 \| won \| 2000 afc asian cup group row 8 : 8 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter row 9 : 9 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter ] Execute this SQL based on the above table: select venue order by # asc limit 1	kyoto, japan
[ header: name \| variant name(s) \| source \| source coordinates \| length \| mouth \| mouth coordinates row 1 : mouth \| None \| None \| None \| None \| aliso creek beach, laguna beach \| 33°30′38′′n 117° row 2 : wood canyon creek \| None \| aliso viejo \| 33°35′39′′n 117° \| 2.8 miles (4.5 km) \| aliso canyon-right bank of alis \| 33°32′28′′n 117° row 3 : sulphur creek \| arroyo salada, sulph \| north laguna niguel \| 33°33′33′′n 117° \| 4.5 miles (7.2 km) \| head of aliso canyon-left bank of \| 33°32′32′′n 117° row 4 : aliso hills channel \| None \| south laguna hills \| None \| 4.5 miles (7.2 km) \| aliso viejo-left bank of al \| None row 5 : dairy fork \| dairy fork storm drain \| south laguna woods \| None \| 3 miles (4.8 km) \| aliso viejo- right bank of al \| None row 6 : munger creek \| munger creek storm drain \| lake forest \| None \| 1 mile (1.6 km) \| mission viejo-right bank of aliso \| None row 7 : unnamed northern fork \| None \| portola hills \| None \| 2.5 miles (4.0 km) \| mission viejo-right bank of aliso \| None row 8 : english canyon \| english canyon creek, english canyon channel \| mission viejo \| 33°39′30′′n 117° \| 3.5 miles (5.6 km) \| mission viejo-left bank of aliso \| 33°37′42′′n 117° row 9 : source \| None \| cleveland national forest, portola \| 33°42′10′′n 117° \| None \| None \| None ] Execute this SQL based on the above table: select mouth order by source limit 1294	aliso creek beach, laguna beach, aliso canyon-right bank of aliso creek, mission viejo-right bank of aliso creek, mission viejo-left bank of aliso creek, head of aliso canyon-left bank of aliso creek, mission viejo-right bank of aliso creek, aliso viejo-left bank of aliso creek, aliso viejo- right bank of aliso creek
[ header: n° \| name \| position \| date of birth \| nationality row 1 : 1 \| marcus popp \| s \| 23 settembre 1981 \| germany row 2 : 2 \| stanislav simin \| c \| 4 ottobre 1986 \| serbia row 3 : 3 \| gerald hardy-dessources \| c \| 9 febbraio 1983 \| france row 4 : 4 \| soane falafala \| s \| 16 aprile 1993 \| france row 5 : 5 \| cyril guitte \| l \| 13 agosto 1992 \| france row 6 : 6 \| david konecny \| s/o \| 10 ottobre 1982 \| czech republic row 7 : 7 \| jean-francois exiga \| l \| 9 marzo 1982 \| france row 8 : 8 \| nuno pinheiro \| p \| 31 dicembre 1984 \| portugal row 9 : 10 \| guillaume di betta \| s \| 8 settembre 1994 \| france row 10 : 12 \| maxime dillies \| p \| 11 aprile 1984 \| france row 11 : 13 \| kamil baranek \| s \| 2 maggio 1983 \| czech republic row 12 : 14 \| renaud lachaise \| p \| 12 maggio 1991 \| france row 13 : 15 \| david smith \| c \| 15 maggio 1985 \| united states row 14 : 16 \| emmanuel ragon \| s \| 6 agosto 1987 \| france row 15 : 17 \| victor le guennec \| s \| 19 giugno 1994 \| france row 16 : 18 \| thibault szymkowi \| c \| 19 settembre 1991 \| france ] Execute this SQL based on the above table: select position where n° = 6	s/o
[ header: title \| year \| platforms \| developer \| publisher \| notes row 1 : american mcgee's grimm \| 2008 \| pc \| spicy horse \| gametap \| episodic mcgee takes on various row 2 : dexiq \| 2009 \| ipad, iphone, ipod \| spicy pony \| None \| puzzle game row 3 : american mcgee presents akan \| 2010 \| ipad \| spicy pony \| None \| little red riding hood in japan row 4 : american mcgee's cro \| 2010 \| ipad, iphone, ipod \| spicy pony \| None \| puzzle game row 5 : alice: madness returns \| 2011 \| playstation 3, xbox 360, p \| spicy horse \| electronic arts \| sequel to american mcgee's row 6 : bighead bash \| 2012 \| None \| spicy horse \| None \| side scrolling/battle multiplayer. ( row 7 : crazy fairies \| 2012 \| mobile, facebook \| spicy horse \| None \| currently in the closed beta stage. (unrelease row 8 : akaneiro: demon hunters \| 2013 \| browsers, tegra-powered tablets \| spicy horse \| spicy horse \| a japanese/mc ] Execute this SQL based on the above table: select publisher where year > 1000	gametap, electronic arts, spicy horse
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation group by nation order by count ( nation ) desc limit 1	venezuela (ven)
[ header: dance \| best dancer(s) \| best score \| worst dancer(s) \| worst score row 1 : cha cha \| argo ader \| 34 \| henrik normann piret \| 14 row 2 : waltz (international standard) \| maarja-liis ilus \| 36 \| arne niit \| 14 row 3 : rumba \| argo ader \| 40 \| arne niit \| 15 row 4 : quickstep \| argo ader maarja-l \| 40 \| henrik normann piret \| 16 row 5 : jive \| argo ader \| 32 \| henrik normann \| 24 row 6 : tango \| maarja-liis ilus \| 37 \| erika salumae \| 26 row 7 : paso doble \| lauri pedaja \| 36 \| evelyn sepp \| 28 row 8 : foxtrot \| argo ader evelyn \| 34 \| henrik normann \| 25 row 9 : samba \| maarja-liis ilus \| 37 \| henrik normann \| 26 row 10 : showdance \| argo adar maarja-l \| 40 \| None \| None ] Execute this SQL based on the above table: select worst dancer(s) where worst score > ( select worst score where worst dancer(s) = 'arne niit' ) order by worst score asc limit 1	arne niit
[ header: years \| building \| city \| height (ctbuh) \| floors row 1 : 1975-present \| first canadian place \| toronto \| 298.1 m (978 ft) \| 72 row 2 : 1972-1975 \| commerce court west \| toronto \| 239.0 m (784 ft \| 57 row 3 : 1967-1972 \| toronto-dominion centre \| toronto \| 222.8 m (731 ft) \| 56 row 4 : 1964-1967 \| tour de la bourse \| montreal \| 190.0 m (623 ft) \| 47 row 5 : 1962-1964 \| place ville-marie \| montreal \| 188.0 m (617 ft) \| 44 row 6 : 1962 \| tour cibc \| montreal \| 184.0 m (604 ft) \| 45 row 7 : 1931-1962 \| commerce court north \| toronto \| 145.0 m (476 ft) \| 34 ] Execute this SQL based on the above table: select distinct city where city = 'montreal' and city = 'montreal'	montreal
[ header: name \| built \| listed \| location \| county \| type row 1 : bahala creek bridge \| 1909 \| 1988-11-16 \| oma 31°42′17′′ \| lawrence \| pratt through truss row 2 : bayou pierre bridge \| ca. 1920 \| 2005-06-10 \| carpenter 32°0′10′′n \| copiah \| None row 3 : bayou pierre bridge \| ca. 1900, 1940 \| 2005-06-10 \| carpenter 32°0′10′′n \| copiah \| None row 4 : big black river railroad bridge \| 1917 \| 1988-11-16 \| bovina, edwards 32 \| hinds, warren \| open-spandrel arch row 5 : chunky river bridge \| 1911 \| 2004-03-22 \| chunky 32°19′16′′n \| newton \| None row 6 : columbus bridge \| 1925-1927 \| 1988-11-16 \| columbus 33°29′37′′n \| lowndes \| warren truss;swing row 7 : confederate avenue brick arch bridge \| 1935 \| 1988-11-16 \| vicksburg 32°19′44′′ \| warren \| brick arch row 8 : coon box fork bridge \| 1919 \| 1979-05-23 \| coon box 31°47′25′′n \| jefferson \| twin-tower swng. sus row 9 : enterprise bridge \| ca. 1925, ca. 1935 \| 1988-11-16 \| enterprise 32°10′33′′n 88 \| clarke \| warren polygonal pony truss row 10 : gatesville bridge \| 1908 \| 1988-11-16 \| gatesville, pearl 31°59′46′′ \| copiah, simpson \| pennsylvania through tru row 11 : homochitto river bridge \| 1909 \| 1988-11-16 \| hazelhurst 31°42′48′′n \| copiah \| pratt through truss row 12 : lamb-fish bridge \| 1905 \| 1982-05-17 \| charleston 34°1′20′′ \| tallahatchie \| vertical lift span row 13 : lucien bridge \| 1938 \| 2005-06-16 \| mccall creek 31°30′40 \| franklin \| None row 14 : mississippi river bridge \| 1928-1930 \| 1989-02-14 \| vicksburg 32°18′54′′ \| warren \| cantilevered truss span row 15 : shubuta bridge \| 1919 \| 1988-11-16 \| shubuta 31°51′25′′ \| clarke \| camelback through truss ] Execute this SQL based on the above table: select built where name = 'chunky river bridge'	1911
[ header: year \| competition \| location \| event \| final-rank \| final-score \| qualifying rank \| qualifying score row 1 : 2008 \| 2008 summer olympics \| beijing \| team \| 2 \| 186.525 \| 2 \| 246.8 row 2 : 2008 \| 2008 summer olympics \| beijing \| uneven bars \| dnq \| None \| 23 \| 14.8 row 3 : 2008 \| olympic trials \| philadelphia \| all around \| 4 \| 61.85 \| 4 \| 61.4 row 4 : 2008 \| olympic trials \| philadelphia \| balance beam \| 4 \| 15.55 \| 4 \| 15.8 row 5 : 2008 \| olympic trials \| philadelphia \| floor exercise \| 2 \| 15.5 \| 3 \| 15.65 row 6 : 2008 \| olympic trials \| philadelphia \| uneven bars \| 6 \| 15.2 \| 5 \| 15.3 row 7 : 2008 \| olympic trials \| philadelphia \| vault \| 4 \| 15.15 \| 3 \| 15.1 row 8 : 2008 \| u.s. championships \| boston \| all around \| 4 \| 61.25 \| 4 \| 60.75 row 9 : 2008 \| u.s. championships \| boston \| balance beam \| 5 \| 16 \| 5 \| 15.4 row 10 : 2008 \| u.s. championships \| boston \| floor exercise \| 10 \| 14.75 \| 4 \| 15.2 row 11 : 2008 \| u.s. championships \| boston \| uneven bars \| 6 \| 15.55 \| 6 \| 15.15 row 12 : 2008 \| american cup \| new york city \| all around \| 3 \| 63.075 \| 3 \| 63.075 ] Execute this SQL based on the above table: select location where location > ( select location where location = 'boston' ) order by location limit 1	new york city
[ header: no \| title \| directed by \| released row 1 : 1 \| "kloot's k \| hawley pratt \| 1973 row 2 : 2 \| "apache on the county seat" \| hawley pratt \| 1973 row 3 : 3 \| "the shoe must go on" \| gerry chiniquy \| 1973 row 4 : 4 \| "a self winding sidewinder" \| roy morita \| 1973 row 5 : 5 \| "pay your buffalo bill" \| gerry chiniquy \| 1973 row 6 : 6 \| "stirrups and hic \| gerry chiniquy \| 1973 row 7 : 7 \| "ten miles to the gallop" \| arthur leonardi \| 1973 row 8 : 8 \| "phony express" \| gerry chiniquy \| 1974 row 9 : 9 \| "giddy up woe" \| sid marcus \| 1974 row 10 : 10 \| "gold struck" \| roy morita \| 1974 row 11 : 11 \| "as the tumbleweeds turn" \| gerry chiniquy \| 1974 row 12 : 12 \| "the badge and the beautiful" \| bob balsar \| 1974 row 13 : 13 \| "big beef at o.k. cor \| bob balsar \| 1974 row 14 : 14 \| "by hoot or by crook \| bob balsar \| 1974 row 15 : 15 \| "strange on the range" \| durward bonaye \| 1974 row 16 : 16 \| "mesa trouble" \| sid marcus \| 1974 row 17 : 17 \| "saddle soap opera" \| gerry chiniquy \| 1974 ] Execute this SQL based on the above table: select count ( * ) where directed by = 'gerry chiniquy'	6
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select artist(s) where year = ( select sum ( year ) where artist(s) in ( 'jean-roch ft tara mcdonald' , 'jean-roch ft tara mcdonald' ) )	tara mcdonald, jean-roch ft timati, jean-roch ft tara mcdonald
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select player order by no. desc limit 1	wayne gretzky
[ header: station \| type \| latitude \| longitude \| el. (m) \| opened \| closed \| coordinates row 1 : calama, chile \| solar \| 22o28's \| 68o56'w \| 2250 \| 1918 \| 1920 \| 22°28′s 68°56′ row 2 : mount montezuma, chile \| solar \| 22o40's \| 68o56'w \| 2711 \| 1920 \| None \| 22°40′s 68°56′ row 3 : mount harquahala, arizon \| solar \| 33o48'n \| 113o20'w \| 1721 \| 1920 \| 1925 \| 33°48′n 113°20′ row 4 : table mountain, california \| solar \| 34o22'n \| 117o41'w \| 2286 \| 1925 \| 1962 \| 34°22′n 117°41′ row 5 : mount brukkaros, namibi \| solar \| 25o52's \| 17o48'e \| 1586 \| 1926 \| 1931 \| 25°52′s 17°48′e row 6 : mount saint catherine, egy \| solar \| 28o31'n \| 33o56'e \| 2591 \| 1934 \| 1937 \| 28°31′n 33°56′e row 7 : burro mountain, new mexico \| solar \| 32o40'n \| 108o33'w \| 2440 \| 1938 \| 1946 \| 32°40′n 108°33′ row 8 : organ pass, new mexico \| space track \| 32o25'n \| 253o27'e \| None \| None \| None \| 32°25′n 106°33′ row 9 : olifantsfontein, south africa \| space track \| 25o58's \| 28o15'e \| None \| None \| None \| 25°58′s 28°15′e row 10 : woomera, australia \| space track \| 31o06's \| 136o46'e \| None \| None \| None \| 31°06′s 136°46′ row 11 : curacao, netherlands west in \| space track \| 12o05'n \| 291o10'e \| None \| None \| None \| 12°05′n 68°50′ row 12 : jupiter, florida \| space track \| 27o01'n \| 279o53'e \| None \| None \| None \| 27°01′n 80°07′w row 13 : villa dolores, argentina \| space track \| 31o57'n \| 294o54'e \| None \| None \| None \| 31°57′n 65°06′e row 14 : mitaka, japan \| space track \| None \| None \| None \| None \| None \| None row 15 : nani tal, india \| space track \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( type ) where el. (m) != 0	7
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select place order by year desc limit 1	1st
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue order by venue limit 745	abensberg, balakovo, gniezno, gorzow wlkp, holsted, pardubice, rybnik, rye house
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 1420436 \| 73.52 \| 687210 \| 733226 row 2 : yiddish \| 317169 \| 16.41 \| 154603 \| 162566 row 3 : russian \| 87850 \| 4.54 \| 13551 \| 1586 row 4 : german \| 77160 \| 3.99 \| 37984 \| 39176 row 5 : ukrainian \| 15930 \| 0.82 \| 15623 \| 307 row 6 : romanian \| 2299 \| >0.01 \| 2293 \| 6 row 7 : latvian \| 1759 \| >0.01 \| 1738 \| 21 row 8 : estonian \| 1566 \| >0.01 \| 1555 \| 11 row 9 : tatar \| 1473 \| >0.01 \| 1437 \| 36 row 10 : belarusian \| 1343 \| >0.01 \| 1234 \| 109 row 11 : other \| 4824 \| 0.24 \| 3289 \| 1535 row 12 : persons that didn't name their native language \| 54 \| >0.01 \| 33 \| 21 row 13 : total \| 1931867 \| 100 \| 977948 \| 953919 ] Execute this SQL based on the above table: select language where language != 'total' and females = 1535	other
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select league - year where playoffs = 'quarterfinals' and league = 'usl first division'	-2005
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : 1959-09-26 \| at #16 georgia tech \| #6 \| grant field • atlanta, ga \| l 12-16 \| 43000 row 2 : 1959-10-03 \| #15 navy \| None \| cotton bowl • dallas, t \| w 20-7 \| 46000 row 3 : 1959-10-09 \| missouri \| #15 \| cotton bowl • dallas, t \| w 23-2 \| 33000 row 4 : 1959-10-17 \| at rice \| #16 \| rice stadium • houston, tx \| t 13-13 \| 65000 row 5 : 1959-10-24 \| texas tech \| None \| cotton bowl • dallas, t \| w 21-13 \| 30000 row 6 : 1959-10-31 \| #4 texas \| None \| cotton bowl • dallas, t \| l 0-21 \| 65000 row 7 : 1959-11-07 \| at texas a&m \| None \| kyle field • college station, t \| w 14-11 \| 19000 row 8 : 1959-11-14 \| #20 arkansas \| None \| cotton bowl • dallas, t \| l 14-17 \| 31000 row 9 : 1959-11-21 \| at baylor \| None \| floyd casey stadium • waco, \| w 30-14 \| 25000 row 10 : 1959-11-28 \| at #8 texas christi \| None \| amon g. carter stadium • for \| l 0-19 \| 40000 ] Execute this SQL based on the above table: select attendance where attendance in ( 25000 , 46000 ) and date = '1959-10-03' and site = 'cotton bowl • dallas, tx'	46000.0
[ header: kategori \| 1995 \| 2004 \| 2005 \| 2006 \| 2007 row 1 : best movie \| pencet sana pencet sini \| arisan \| janji joni \| berbagi suami \| nagabonar jadi 2 row 2 : best director \| arizal (pencet s \| nia dinata (aris \| garin nugroho (rindu kam \| riri riza (gie \| john de rantau (denias row 3 : most favourite movie \| catatan si emon \| eiffel i'm in love \| ungu violet \| heart \| None row 4 : most favourite actor \| onky alexander (catatan tant \| samuel rizal ( \| nicholas saputra (ja \| nicholas saputra (gie \| tora sudiro (nagabon row 5 : most favorite actress \| ayu azhari (cat \| nirina zubir(30 \| dian sastrowardoyo \| titi kamal (mendadak d \| dinna olivia (mengejar row 6 : most favourite supporting actor \| didi petet (catatan si \| surya saputra (arisan \| fauzi baadila ( \| tio pakusadew \| winky wiryawan (badai row 7 : most favourite supporting actress \| cornelia agatha (lupus \| titi kamal (eiffel i \| mariana renata (janji \| ria irawan (ber \| wulan guritno ( row 8 : best crying scene \| nita tilana ( \| winky wiryawan (mengejar \| putri mulia (rindu \| sita nursanti (gie) \| None row 9 : most favourite heart melting moment \| onky alexander and paramitha \| vino bastian and maria agnes \| None \| nirina zubir and \| None row 10 : best song in the movie \| kisah cinta \| mengejar matahari - ari \| tentang dia - melly goeslaw \| my heart - irwansyah \| pulang - float[disambigu row 11 : most favourite rising star \| krisdayanti (lupus \| None \| laudya chintya bell \| jonathan mulia (gie \| albert fakdawer (d row 12 : lifetime achievement \| christine hakim \| None \| benyamin sueb \| warkop dki \| deddy mizwar row 13 : best scary scene \| hantu tinta \| None \| None \| None \| kuntilanak row 14 : best running scene \| None \| None \| None \| None \| maaf, saya menghamili ] Execute this SQL based on the above table: select count ( kategori ) where id < ( select id where kategori = 'most favourite movie' )	2
[ header: department \| total deputies \| uninominal deputies \| plurinominal deputies \| special indigenous or campesino deputies \| senators row 1 : la paz \| 29 \| 14 \| 14 \| 1 \| 4 row 2 : santa cruz \| 28 \| 14 \| 13 \| 1 \| 4 row 3 : cochabamba \| 19 \| 9 \| 9 \| 1 \| 4 row 4 : potosi \| 13 \| 7 \| 6 \| 0 \| 4 row 5 : chuquisaca \| 10 \| 5 \| 5 \| 0 \| 4 row 6 : oruro \| 9 \| 4 \| 4 \| 1 \| 4 row 7 : tarija \| 9 \| 4 \| 4 \| 1 \| 4 row 8 : beni \| 8 \| 4 \| 3 \| 1 \| 4 row 9 : pando \| 5 \| 2 \| 2 \| 1 \| 4 row 10 : total \| 130 \| 63 \| 60 \| 7 \| 36 ] Execute this SQL based on the above table: select count ( * ) where senators = 4	9
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2002 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 2 : 2003 \| 4 \| usl pdl \| 1st, mid atlantic \| conference semifinals \| did not qualify row 3 : 2004 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 4 : 2005 \| 4 \| usl pdl \| 1st, mid atlantic \| national semifinals \| 2nd round row 5 : 2006 \| 4 \| usl pdl \| 5th, mid atlantic \| did not qualify \| did not qualify row 6 : 2007 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify row 7 : 2008 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select league order by division desc limit 1	usl pdl
[ header: \| \| \| row 1 : 1962 \| the trial/le proces \| hilda \| notes row 2 : 1949 \| in the good old summertime \| baby \| uncredited row 3 : 1954 \| the long, long trailer \| wedding guest \| scenes deleted row 4 : 1967 \| charlie bubbles \| eliza \| None row 5 : 1969 \| the sterile cuckoo \| 'pookie' (mary ann \| david di donatello for best foreign actress row 6 : 1970 \| tell me that you love me, juni \| junie moon \| None row 7 : 1972 \| cabaret \| sally bowles \| academy award for best actress bafta award row 8 : 1974 \| just one more time \| herself \| uncredited (short subject) row 9 : 1974 \| that's entertainment! \| herself (narrator) \| None row 10 : 1974 \| journey back to oz \| dorothy \| voice (recorded in 1963, released row 11 : 1975 \| lucky lady \| claire \| nominated - golden globe award for best row 12 : 1976 \| silent movie \| herself \| None row 13 : 1976 \| a matter of time \| nina \| None row 14 : 1977 \| new york, new york \| francine evans \| nominated - golden globe award for best row 15 : 1981 \| arthur \| linda marolla \| nominated - golden globe award for best row 16 : 1983 \| the king of comedy \| herself \| scenes deleted row 17 : 1984 \| the muppets take manhattan \| herself \| None row 18 : 1985 \| that's dancing! \| herself - host \| None row 19 : 1987 \| rent-a-cop \| della roberts \| golden raspberry award for worst actress row 20 : 1988 \| arthur 2: on the rocks \| linda marolla bach \| golden raspberry award for worst actress row 21 : 1991 \| stepping out \| mavis turner \| None row 22 : 1994 \| a century of cinema \| herself \| documentary row 23 : 1995 \| unzipped \| herself - uncredited \| documentary row 24 : 2006 \| the oh in ohio \| alyssa donahue \| None row 25 : 2010 \| broadway: beyond the golden age \| herself \| documentary row 26 : 2010 \| sex and the city 2 \| wedding minister/herself \| cameo appearance row 27 : 2011 \| lady gaga presents the monster ball tour: at \| herself \| guest appearance row 28 : 2013 \| smash \| herself \| guest appearance ] Execute this SQL based on the above table: select where in ( 1976 , 1972 ) order by desc limit 1	1976
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select count ( * ) where rider = '12'	0
[ header: sum \| mongolian \| population (2005) \| population (2008) \| population (2009) \| area km2 \| density /km2 \| sum centre population row 1 : battsengel \| батцэнгэл \| 3818 \| 3855 \| 3846 \| 3500 \| 1.1 \| 1096 row 2 : bulgan \| булган \| 2285 \| 2361 \| 2434 \| 3100 \| 0.79 \| 961 row 3 : chuluut \| чулуут \| 3943 \| 3749 \| 3744 \| 3900 \| 0.96 \| 935 row 4 : erdenebulgan \| эрдэнэбулг \| 17790 \| 18022 \| 17770 \| 536 \| 33.15 \| 17770 row 5 : erdenemandal \| эрдэнэманда \| 6099 \| 5843 \| 5933 \| 3400 \| 1.74 \| 1091 row 6 : ikh-tamir \| их тамир \| 5714 \| 5154 \| 5247 \| 4800 \| 1.09 \| 1050 row 7 : jargalant \| жаргалант \| 4089 \| 4114 \| 4111 \| 3832 \| 1.07 \| 1035 row 8 : khairkhan \| хаирхан \| 3756 \| 3558 \| 3656 \| 2500 \| 1.46 \| 739 row 9 : khangai \| хангаи \| 3054 \| 2805 \| 2926 \| 4400 \| 0.66 \| 795 row 10 : khashaat \| хашаат \| 3594 \| 3305 \| 3344 \| 2600 \| 1.29 \| 802 row 11 : khotont \| хотонт \| 4763 \| 4809 \| 4440 \| 2200 \| 2.02 \| 774 row 12 : ogii nuur \| өгии нуур \| 3015 \| 3041 \| 3086 \| None \| None \| 622 row 13 : olziit \| өлзиит \| 3154 \| 3037 \| 3102 \| 1700 \| 1.82 \| 829 row 14 : ondor-ulaan \| өндөр-улаан \| 5873 \| 5729 \| 5798 \| 4000 \| 1.45 \| 1097 row 15 : tariat \| тариат \| 5082 \| 5022 \| 5086 \| 3800 \| 1.34 \| 644 row 16 : tuvshruule \| түвшрүүлэх \| 3489 \| 3410 \| 3438 \| 1200 \| 2.86 \| 1869 row 17 : tsakhir \| цахир \| 2058 \| 2126 \| 2143 \| 3398 \| 0.63 \| 438 row 18 : tsenkher \| цэнхэр \| 5480 \| 5387 \| 5414 \| 3200 \| 1.69 \| 997 row 19 : tsetserleg \| цэцэрлэг \| 2058 \| 3955 \| 3813 \| 2500 \| 1.53 \| 848 ] Execute this SQL based on the above table: select count ( * ) where mongolian <= 2000	0
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select athlete(s) where id = ( select id where athlete(s) = 'steve holcomb, justin olsen, steve mesler, & curtis tomasevicz (usa)' ) - 1	andre lange, kevin kuske, alexander rodiger, & martin putze (ger)
[ 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 count ( status ) where age = 30	1
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select winning driver where id = ( select id where winning driver = 'philip cloostermans' ) + 1	philip cloostermans
[ header: rank \| bib \| country \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| total \| behind row 1 : None \| 1 \| canada (can-1) \| kaillie humphries heat \| 57.39 \| 57.73 \| 57.57 \| 57.92 \| 3:50.61 \| None row 2 : None \| 2 \| united states (usa-1) \| elana meyers laury \| 57.26 \| 57.63 \| 57.69 \| 58.13 \| 3:50.71 \| 0.1 row 3 : None \| 3 \| united states (usa-2) \| jamie greubel aja evan \| 57.45 \| 58 \| 58 \| 58.16 \| 3:51.61 \| 1 row 4 : 4 \| 9 \| netherlands (ned-1) \| esme kamphuis jud \| 57.94 \| 58.1 \| 58.2 \| 58.03 \| 3:52.27 \| 1.66 row 5 : 5 \| 4 \| germany (ger-1) \| sandra kiriasis \| 57.95 \| 58.08 \| 58.06 \| 58.2 \| 3:52.29 \| 1.68 row 6 : 7 \| 5 \| germany (ger-2) \| cathleen martini christ \| 57.99 \| 58.42 \| 58.17 \| 58.13 \| 3:52.71 \| 2.1 row 7 : 8 \| 8 \| switzerland (sui- \| fabienne meyer tanja may \| 58.18 \| 58.34 \| 58.29 \| 58.39 \| 3:53.20 \| 2.59 row 8 : 9 \| 11 \| russia (rus-1) \| olga stulneva \| 58.03 \| 58.24 \| 58.45 \| 58.74 \| 3:53.46 \| 2.85 row 9 : 10 \| 6 \| germany (ger-3) \| anja schneiderheinze stephan \| 58.17 \| 58.3 \| 58.53 \| 58.74 \| 3:53.74 \| 3.13 row 10 : 11 \| 7 \| united states (usa-3) \| jazmine fenlator lolo \| 58.27 \| 58.46 \| 58.5 \| 58.74 \| 3:53.97 \| 3.36 row 11 : 12 \| 12 \| great britain (gbr- \| paula walker rebekah \| 58.36 \| 58.4 \| 58.88 \| 58.6 \| 3:54.24 \| 3.63 row 12 : 13 \| 13 \| canada (can-2) \| jennifer ciochetti \| 58.43 \| 58.63 \| 58.72 \| 58.71 \| 3:54.49 \| 3.88 row 13 : 14 \| 14 \| australia (aus-1) \| astrid radjenovic jan \| 58.62 \| 58.5 \| 59.06 \| 58.37 \| 3:54.55 \| 3.94 row 14 : 15 \| 15 \| austria (aut-1) \| christina hengster viol \| 58.59 \| 58.56 \| 58.73 \| 58.91 \| 3:54.79 \| 4.18 row 15 : 16 \| 17 \| russia (rus-2) \| nadezhda serge \| 58.8 \| 58.69 \| 59.27 \| 59.1 \| 3:55.86 \| 5.25 row 16 : 17 \| 16 \| romania (rou-1) \| maria constantin andreea grecu \| 59.04 \| 59.08 \| 59.38 \| 59.09 \| 3:56.59 \| 5.98 ] Execute this SQL based on the above table: select country where id = ( select id where country = 'austria (aut-1)' ) + 1	russia (rus-2)
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select venue order by year desc limit 1	guangzhou, china
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select sum ( total length ) where year completed > 352	6140.1
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select album where us hot 100 < 'None'	rotting pinata
[ header: tournament \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| w-l row 1 : australian open \| a \| a \| a \| a \| a \| a \| q3 \| a \| q3 \| 4r \| 2r \| 1r \| 1r \| 1r \| 3-5 row 2 : french open \| a \| a \| a \| a \| a \| a \| q1 \| a \| 1r \| 1r \| 3r \| 3r \| 2r \| None \| 5-5 row 3 : wimbledon \| a \| a \| a \| a \| a \| a \| q1 \| q1 \| q1 \| 2r \| 4r \| 2r \| qf \| None \| 9-4 row 4 : us open \| a \| a \| a \| a \| a \| 3r \| q3 \| a \| q2 \| 1r \| a \| 1r \| 1r \| None \| 2-4 row 5 : win-loss \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 2-1 \| 0-0 \| 0-0 \| 0-1 \| 3-4 \| 6-3 \| 3-4 \| 5-4 \| 0-1 \| 19-18 row 6 : titles-finals \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-1 \| 0-1 \| 0-0 \| 0-0 \| 0-0 \| None \| 0-2 row 7 : year end ranking \| 427 \| 440 \| 371 \| 219 \| 142 \| 125 \| 222 \| 209 \| 101 \| 70 \| 57 \| 74 \| 72 \| None \| None ] Execute this SQL based on the above table: select count ( 2004 )	7
[ header: affiliation \| house members 2000 election results \| house members at dissolution \| senate members on election day 2000 \| senate members at dissolution row 1 : liberal party of canada \| 172 \| 168 \| 55 \| 65 row 2 : canadian alliance \| 66 \| None \| 1 \| None row 3 : bloc quebecois \| 38 \| 33 \| 0 \| 0 row 4 : new democratic party \| 13 \| 14 \| 0 \| 0 row 5 : progressive conservative \| 12 \| None \| 35 \| None row 6 : progressive conservative (senate caucus \| None \| None \| None \| 3 row 7 : conservative party of canada \| None \| 72 \| None \| 24 row 8 : independent \| 0 \| 10 \| 5 \| 5 row 9 : total members \| 301 \| 297 \| 96 \| 97 row 10 : vacant \| 0 \| 4 \| 9 \| 8 row 11 : total seats \| 301 \| 301 \| 105 \| 105 ] Execute this SQL based on the above table: select affiliation where id = ( select id where affiliation = 'progressive conservative (senate caucus)' ) + 1	conservative party of canada
[ header: \| country \| builder \| location \| ship \| class \| notes row 1 : 23 january \| united states \| new york shipbuilding corporation \| camden, new jersey \| salt lake city \| pensacola-class cruiser \| None row 2 : 12 april \| france \| chantiers de la gironde \| gironde \| commandant teste \| seaplane carrier and tender \| None row 3 : 25 april \| united states \| new york navy yard \| brooklyn, new york \| pensacola \| pensacola-class cruiser \| None row 4 : 22 may \| japan \| uraga dock \| uraga \| itsukushima \| minelayer \| None row 5 : 29 june \| germany \| deschimag werk a.g \| bremen \| lichtenfels \| heavy lift ship \| for ddg hansa row 6 : 3 july \| united states \| new york shipbuilding corporation \| camden, new jersey \| chester \| northampton-class cruiser \| None row 7 : 6 august \| united kingdom \| harland and wolff \| belfast, northern ireland \| britannic \| ocean liner \| for white star line row 8 : 5 september \| united states \| fore river shipyard \| quincy, massachusetts \| northampton \| northampton-class cruiser \| None row 9 : 7 september \| united states \| newport news shipbuilding & dry dock company \| newport news, virginia \| houston \| northampton-class cruiser \| None row 10 : date unknown \| norway \| trondhjems mekanisk \| trondheim \| barøy \| passenger/cargo ship \| None row 11 : date unknown \| germany \| deutsche werft \| hamburg \| ceuta \| cargo ship \| for oldenburg-portugiesische damp row 12 : date unknown \| germany \| ag weser \| bremen \| hercules \| cargo ship \| for dampfschiffahrts-gesellschaft row 13 : date unknown \| united kingdom \| smiths dock co ltd \| middlesbrough \| vikingen i \| whaler \| None row 14 : date unknown \| united kingdom \| smiths dock co ltd \| middlesbrough \| vikingen ii \| whaler \| None row 15 : date unknown \| united kingdom \| smiths dock co ltd \| middlesbrough \| vikingen iii \| whaler \| None row 16 : date unknown \| sweden \| None \| bjorkenas, swe \| yngve \| schooner \| None ] Execute this SQL based on the above table: select notes where class = 'heavy lift ship'	for ddg hansa
[ header: year \| title \| role \| notes row 1 : 1980 \| hawaii five-o \| neal forrester \| episode: "the flight of the jewels" row 2 : 1982 \| american playhouse \| jed jenkins \| episode: "the fifth of july" row 3 : 1991 \| saturday night live \| host \| episode: jeff daniels/ row 4 : 1993 \| frasier \| doug \| episode: "here's looking at you row 5 : 1995 \| saturday night live \| host \| episode: jeff daniels/ row 6 : 2010 \| planet sheen \| glonb \| episode: "what's up chock?" row 7 : 2012-present \| the newsroom \| will mcavoy \| 19 episodes primetime emmy award for ] Execute this SQL based on the above table: select count ( * ) where title = 'the newsroom'	1
[ header: yacht \| nation \| owner \| skipper \| launch year row 1 : afr midnight rambler \| (nsw) \| ed psaltis \| ed psaltis \| 2002 row 2 : another challenge \| (vic) \| chris lewin \| chris lewin \| 2000 row 3 : another fiasco \| (qld) \| damian suckling \| damian suckling \| 1994 row 4 : balance \| (nsw) \| paul clitheroe \| paul clitheroe \| 2006 row 5 : bear necessity \| (nsw) \| andrew & pauline d \| andrew dally \| 2007 row 6 : berrimilla \| (nsw) \| alex whitworth \| alex whitworth \| 1977 row 7 : george gregan foundation \| (nsw) \| peter goldsworthy \| david witt \| 2001 row 8 : georgia \| (vic) \| john williams/graeme \| john williams \| 2000 row 9 : getaway sailing 2 \| (vic) \| peter tarimo \| jay pettifer \| 2000 row 10 : global yacht racing - kioni \| (nsw) \| kioni sailing services p/l \| richard falk \| 2001 row 11 : helsal iv \| (tas) \| tony fisher \| rob fisher \| 1986 row 12 : huckleberry \| (wa) \| steve humphries \| steve humphries \| 1982 row 13 : hugo boss ii \| None \| alex thomson racing \| ross daniel \| 2001 row 14 : ichi ban \| (nsw) \| matt allen \| matt allen \| 2005 row 15 : imarex \| (nsw) \| marc & louis ryckmans \| ola strand andersen \| 2000 row 16 : jazz \| None \| chris bull \| chris bull \| 2003 row 17 : living doll \| (vic) \| michael hiatt \| michael hiatt \| 2005 row 18 : mr kite \| (nsw) \| andrew buckland/andre \| andrew buckland/andre \| 2005 row 19 : noonmark vi \| None \| sir geoffrey mulcahy \| mike gilburt \| 1998 row 20 : quantum racing \| (nsw) \| ray roberts \| ray roberts \| 2007 row 21 : quetzalcoatl \| (nsw) \| bruce/hampshire/lee \| antony sweetapple \| 2001 row 22 : ragamuffin \| (nsw) \| syd fischer \| syd fischer \| 2004 row 23 : rosebud \| None \| roger sturgeon \| roger sturgeon \| 2007 row 24 : scarlet runner \| (vic) \| robert date \| robert date \| 2001 row 25 : secret men's business #1 \| (nsw) \| smb syndicate \| ross trembath/r cur \| 1996 row 26 : sextant \| (nsw) \| denis doyle \| denis doyle \| 1999 row 27 : shogun \| (vic) \| rob hanna \| rob hanna \| 2007 row 28 : toyota aurion \| (nsw) \| andrew short \| andrew short \| 1993 row 29 : wild oats xi \| (nsw) \| bob oatley \| mark richards \| 2005 row 30 : wot's next \| (nsw) \| graeme wood \| bill sykes \| 2005 ] Execute this SQL based on the above table: select owner where owner in ( 'andrew buckland/andrew hunn' , 'syd fischer' ) order by launch year desc limit 1	andrew buckland/andrew hunn
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation order by id desc limit 1	venezuela (ven)
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 24.0 (75.2) \| 24.0 (75.2) \| 27.2 (81) \| 32.6 (90.7) \| 39.1 (102.4) \| 41.4 (106.5) \| 43.3 (109.9) \| 44.8 (112.6) \| 39.0 (102.2) \| 35.2 (95.4) \| 26.8 (80.2) \| 23.0 (73.4) \| 44.8 (112.6) row 2 : average high °c (°f) \| 12.6 (54.7) \| 12.9 (55.2) \| 15.0 (59) \| 18.0 (64.4) \| 22.8 (73) \| 26.8 (80.2) \| 29.2 (84.6) \| 29.2 (84.6) \| 25.9 (78.6) \| 21.5 (70.7) \| 16.8 (62.2) \| 13.9 (57) \| 20.38 (68.68) row 3 : daily mean °c (°f) \| 8.8 (47.8) \| 8.9 (48) \| 10.7 (51.3) \| 13.3 (55.9) \| 17.8 (64) \| 21.8 (71.2) \| 24.3 (75.7) \| 24.3 (75.7) \| 21.1 (70) \| 17.1 (62.8) \| 12.7 (54.9) \| 10.1 (50.2) \| 15.91 (60.62) row 4 : average low °c (°f) \| 4.9 (40.8) \| 4.8 (40.6) \| 6.3 (43.3) \| 8.6 (47.5) \| 12.9 (55.2) \| 16.7 (62.1) \| 19.3 (66.7) \| 19.4 (66.9) \| 16.3 (61.3) \| 12.6 (54.7) \| 8.6 (47.5) \| 6.2 (43.2) \| 11.38 (52.48) row 5 : record low °c (°f) \| -5.9 (21.4) \| -3 (27) \| -2.4 (27.7) \| 1.1 (34) \| 5.3 (41.5) \| 7.8 (46) \| 12.8 (55) \| 12.8 (55) \| 8.4 (47.1) \| 1.0 (33.8) \| 0.0 (32) \| -1.6 (29.1) \| -5.9 (21.4) row 6 : precipitation mm (inches) \| 53.7 (2.114) \| 64.2 (2.528) \| 42.0 (1.654) \| 40.5 (1.594) \| 34.9 (1.374) \| 23.3 (0.917) \| 25.4 (1) \| 30.4 (1.197) \| 59.7 (2.35) \| 61.5 (2.421) \| 72.7 (2.862) \| 54.3 (2.138) \| 562.6 (22.149) row 7 : avg. precipitation days (≥ \| 6.7 \| 7.7 \| 6.8 \| 6.2 \| 5.2 \| 3.7 \| 2.6 \| 3.5 \| 5.0 \| 6.3 \| 7.7 \| 7.1 \| 68.5 row 8 : % humidity \| 77 \| 74 \| 72 \| 68 \| 68 \| 65 \| 64 \| 65 \| 68 \| 72 \| 76 \| 78 \| 70.6 ] Execute this SQL based on the above table: select count ( oct )	8
[ 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 town where town = 'bayerischzell-osterhofen' order by height limit 1049	bayerischzell-osterhofen
[ header: season \| competition \| round \| club \| home \| away \| aggregate row 1 : 2010-11 \| uefa europa league \| q3 \| motherwell \| 1-1 \| 0-3 \| 1-4 row 2 : 2011-12 \| uefa europa league \| q1 \| neath \| 4-1 \| 2-0 \| 6-1 row 3 : 2011-12 \| uefa europa league \| q2 \| ferencvaros \| 3-1(aet) \| 1-2 \| 4-3 row 4 : 2011-12 \| uefa europa league \| q3 \| elfsborg \| 4-0 \| 1-1 \| 5-1 row 5 : 2011-12 \| uefa europa league \| play-off \| az \| 2-1 \| 0-6 \| 2-7 row 6 : 2012-13 \| uefa europa league \| q2 \| tirana \| 5-0 \| 1-1 \| 6-1 row 7 : 2012-13 \| uefa europa league \| q3 \| apoel \| 0-1 \| 1-2 \| 1-3 ] Execute this SQL based on the above table: select away where id = 1	0-3
[ 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 date order by attendance desc limit 1	21 october 1978
[ header: name \| state \| status \| title \| appointment \| credentials presented \| termination of mission \| notes row 1 : henry f. grady \| california \| non-career appointee \| ambassador extraordinary and plenipotentiary \| apr 10, 1947 \| jul 1, 1947 \| left post, jun 22, 1948 \| accredited also to nepal; resident at row 2 : chester bowles \| connecticut \| non-career appointee \| ambassador extraordinary and plenipotentiary \| oct 10, 1951 \| nov 1, 1951 \| left post, mar 23, 1953 \| also accredited to nepal; resident at row 3 : george v. allen \| north carolina \| foreign service officer \| ambassador extraordinary and plenipotentiary \| mar 11, 1953 \| may 4, 1953 \| left post, nov 30, 1954 \| also accredited to nepal; resident at row 4 : john sherman cooper \| kentucky \| non-career appointee \| ambassador extraordinary and plenipotentiary \| feb 4, 1955 \| apr 9, 1955 \| left post, apr 23, 1956 \| also accredited to nepal; resident at row 5 : john kenneth galbraith \| massachusetts \| non-career appointee \| ambassador extraordinary and plenipotentiary \| mar 29, 1961 \| apr 18, 1961 \| left post, jul 12, 1963 \| None row 6 : chester bowles \| connecticut \| non-career appointee \| ambassador extraordinary and plenipotentiary \| may 3, 1963 \| jul 19, 1963 \| left post, apr 21, 1969 \| None row 7 : kenneth b. keating \| new york \| non-career appointee \| ambassador extraordinary and plenipotentiary \| may 1, 1969 \| jul 2, 1969 \| left post, jul 26, 1972 \| None row 8 : daniel p. moy \| new york \| non-career appointee \| ambassador extraordinary and plenipotentiary \| feb 8, 1973 \| feb 28, 1973 \| left post, jan 7, 1975 \| None row 9 : robert f. goheen \| new jersey \| non-career appointee \| ambassador extraordinary and plenipotentiary \| apr 26, 1977 \| may 26, 1977 \| left post, dec 10, 1980 \| None row 10 : harry g. barnes, \| maryland \| foreign service officer \| ambassador extraordinary and plenipotentiary \| oct 1, 1981 \| nov 17, 1981 \| left post, jun 27, 1985 \| None row 11 : john gunther dean \| new york \| foreign service officer \| ambassador extraordinary and plenipotentiary \| aug 2, 1985 \| sep 6, 1985 \| left post nov 7, 1988 \| None row 12 : john r. hubbard \| california \| non-career appointee \| ambassador extraordinary and plenipotentiary \| nov 22, 1988 \| dec 27, 1988 \| left post nov 15, 1989 \| commissioned during a recess of the row 13 : william clark, jr \| district of columbia \| foreign service officer \| ambassador extraordinary and plenipotentiary \| oct 10, 1989 \| dec 22, 1989 \| left post, jul 2, 1992 \| None row 14 : thomas r. pickering \| new jersey \| foreign service officer \| ambassador extraordinary and plenipotentiary \| apr 6, 1992 \| aug 14, 1992 \| left post, mar 23, 1993 \| kenneth brill served as charge row 15 : frank g. wisner \| district of columbia \| foreign service officer \| ambassador extraordinary and plenipotentiary \| jun 9, 1994 \| aug 2, 1994 \| left post, july 12, 1997 \| None ] Execute this SQL based on the above table: select count ( status )	15
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : england \| 2-3 \| france \| 1-1 \| 1-2 row 2 : czech republic \| 0-3 \| germany \| 0-2 \| 0-1 row 3 : hungary \| 1-2 \| italy \| 1-1 \| 0-1 row 4 : serbia and montenegro \| 5-2 \| croatia \| 3-1 \| 2-1 row 5 : ukraine \| 5-4 \| belgium \| 2-3 \| 3-1 row 6 : russia \| 1-4 \| denmark \| 0-1 \| 1-3 row 7 : switzerland \| 2-3 \| portugal \| 1-1 \| 1-2 row 8 : slovenia \| 0-2 \| netherlands \| 0-0 \| 0-2 ] Execute this SQL based on the above table: select count ( team 2 ) where 2nd leg = 1585	0
[ header: # \| season \| competition \| date \| round \| opponent \| h / a \| result \| scorer (s) row 1 : 35 \| 2011 \| afc champions league \| 2011-03-02 \| group stage \| al-ain \| a \| 1-0 \| s : dejan damjanovic row 2 : 36 \| 2011 \| afc champions league \| 2011-03-15 \| group stage \| hangzhou greentown \| h \| 3-0 \| s : dejan damjanovic, row 3 : 37 \| 2011 \| afc champions league \| 2011-04-06 \| group stage \| nagoya grampus \| a \| 1-1 \| s : choi hy row 4 : 39 \| 2011 \| afc champions league \| 2011-05-04 \| group stage \| al-ain \| h \| 3-0 \| s : dejan damjanovic (2) row 5 : 41 \| 2011 \| afc champions league \| 2011-05-25 \| round of 16 \| kashima antlers \| h \| 3-0 \| s : bang seung-h row 6 : 42 \| 2011 \| afc champions league \| 2011-09-14 \| quarter-finals 1st leg \| al-ittihad \| a \| 1-3 \| s : choi ta row 7 : 43 \| 2011 \| afc champions league \| 2011-09-27 \| quarter-finals 2nd leg \| al-ittihad \| h \| 1-0 \| s : mauricio molina row 8 : 44 \| 2013 \| afc champions league \| 2013-02-26 \| group stage \| jiangsu sainty \| h \| 5-1 \| s : dejan damjanovic (2) row 9 : 45 \| 2013 \| afc champions league \| 2013-03-12 \| group stage \| buriram united \| a \| 0-0 \| None row 10 : 46 \| 2013 \| afc champions league \| 2013-04-02 \| group stage \| vegalta sendai \| h \| 2-1 \| s : sergio escudero row 11 : 48 \| 2013 \| afc champions league \| 2013-04-24 \| group stage \| jiangsu sainty \| a \| 2-0 \| s : koh myong row 12 : 49 \| 2013 \| afc champions league \| 2013-05-01 \| group stage \| buriram united \| h \| 2-2 \| s : jung seung-y row 13 : 50 \| 2013 \| afc champions league \| 2013-05-14 \| round of 16 1st leg \| beijing guoan \| a \| 0-0 \| None row 14 : 53 \| 2013 \| afc champions league \| 2013-09-18 \| quarter-finals 2nd leg \| al-ahli \| h \| 1-0 \| s : dejan damjanovic row 15 : 55 \| 2013 \| afc champions league \| 2013-10-02 \| semi-finals 2nd leg \| esteghlal \| a \| 2-2 \| s : ha dae-sung ] Execute this SQL based on the above table: select scorer (s) group by scorer (s) order by count ( scorer (s) ) desc limit 1	s : dejan damjanovic
[ header: route number \| terminals \| terminals \| via \| operator \| notes row 1 : 310 310a 311 \| waltham cross bus station \| hertford bus station \| cheshunt, broxbourne, ware \| arriva shires & esse \| mon-sat (310), mon-f row 2 : 323 \| broxbourne station \| essex road industrial estate \| hoddesdon \| sm coaches \| mon-fri peak hours. hert row 3 : 392 \| harlow town station \| rye park old highway \| nazeing, broxbourne \| network harlow \| mon-sat. essex c row 4 : 641 \| broxbourne station \| hatfield business park \| hertford, university of hertfordshire \| uno \| mon-fri university term time only row 5 : c3/c3a \| waltham cross \| harlow bus station \| cheshunt, broxbourne \| trustybus \| mon-fri. 2 buses per hour row 6 : c4 \| waltham cross bus station \| hertford bus station \| cheshunt, ware \| trustybus \| sundays ] Execute this SQL based on the above table: select notes where operator > ( select operator where notes = 'mon-fri peak hours. herts cc contract. times' ) and notes > 1 order by operator asc limit 1	mon-fri. 2 buses per hour operate to harlow. sat 1 bus per hour to harlow via hunsdon
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select position where year > ( select year where position = 'medical ethicist and educator' )	professor emeritus of history, notre dame, actor, former chairman of national endowment for the arts, social advocates
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select count ( area acres ) where references - name > 153	0
[ header: event \| date \| area \| tornadoes \| casualties \| notes row 1 : hurricane carla \| september 1961 \| southern u.s \| 8 \| None \| produced several strong tornadoes, including an row 2 : 1964 wichita falls tornado \| april 3, 1964 \| wichita falls, texa \| None \| 7 dead, 100+ injured \| was rated f5. first tornado ever captured row 3 : february 1965 south florida tornado outbreak \| february 23, 1965 \| southern florida \| 4 \| 0 fatalities, 8 injuries \| produced an unusually strong tornado in south florid row 4 : early-may 1965 tornado outbreak sequence \| may 6-8, 1965 \| minnesota, front range, great \| 50 \| 17 fatalities \| included the 1965 twin cities tornado outbreak, in which row 5 : late-may 1965 tornado outbreak \| may 25-26, 1965 \| great plains \| 51 \| 0 fatalities \| produced multiple strong tornadoes in the great plain row 6 : june 1966 tornado outbreak sequence \| june 8-9, 1966 \| kansas - illin \| 57 \| 18 fatalities \| outbreak sequence produced a series of tornadoes row 7 : 1967 st. louis tornado outbreak \| january 24, 1967 \| midwest \| 32 \| 6 fatalities \| one of the most intense january outbreak row 8 : 1967 oak lawn tornado outbreak \| april 21, 1967 \| midwest \| 45 \| 58 fatalities \| one of the most intense outbreaks to hit the row 9 : 1967 southern minnesota tornado outbreak \| april 30, 1967 \| minnesota \| 9 \| 13 fatalities \| only one tornado below f2 strength in min row 10 : 1968 wheelersburg, ohio \| april 23, 1968 \| ohio valley \| 13 \| 14 fatalities \| outbreak produced several violent and killer tornadoes across ] Execute this SQL based on the above table: select event group by event order by count ( * ) desc limit 1	late-may 1965 tornado outbreak
[ 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 count ( secretary of state )	30
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 1 \| 2:30 pm \| nevada \| #19 \| memorial stadium • lincoln, \| abc \| w 52-10 \| 84078 row 2 : september 8 \| 11:00 am \| at wake forest \| #17 \| bb&t field • winston- \| espn \| w 20-17 \| 32483 row 3 : september 15 \| 7:00 pm \| #1 usc \| #14 \| memorial stadium • lincoln, \| abc \| l 31-49 \| 84959 row 4 : september 22 \| 11:30 am \| ball state \| #22 \| memorial stadium • lincoln, \| fsn ppv \| w 41-40 \| 84294 row 5 : september 29 \| 1:05 pm \| iowa state \| #22 \| memorial stadium • lincoln, \| None \| w 35-17 \| 84703 row 6 : october 6 \| 8:15 pm \| at #17 missouri \| #23 \| faurot field • columbia \| espn \| l 6-41 \| 70049 row 7 : october 13 \| 11:30 am \| oklahoma state \| None \| memorial stadium • lincoln, \| ppv \| l 14-45 \| 84334 row 8 : october 20 \| 1:05 pm \| texas a&m \| None \| memorial stadium • lincoln, \| None \| l 14-36 \| 84473 row 9 : october 27 \| 2:30 pm \| at #16 texas \| None \| darrell k royal-texas memorial \| abc \| l 25-28 \| 85968 row 10 : november 3 \| 11:30 am \| at #8 kansas \| None \| memorial stadium • lawrence, ks \| fsn \| l 39-76 \| 51910 row 11 : november 10 \| 11:30 am \| kansas state \| None \| memorial stadium • lincoln, \| versus \| w 73-31 \| 84665 row 12 : november 23 \| 11:00 am \| at colorado \| None \| folsom field • boulder, co (rival \| abc \| l 51-65 \| 51403 ] Execute this SQL based on the above table: select attendance where opponent# = 'at wake forest'	32483
[ header: team \| p \| w \| t \| l \| gf \| ga \| gd \| pts. row 1 : sweden \| 5 \| 5 \| 0 \| 0 \| 114 \| 91 \| +23 \| 10 row 2 : denmark \| 5 \| 3 \| 1 \| 1 \| 107 \| 99 \| +8 \| 7 row 3 : spain \| 5 \| 3 \| 0 \| 2 \| 114 \| 101 \| +13 \| 6 row 4 : hungary \| 5 \| 2 \| 0 \| 3 \| 100 \| 107 \| -7 \| 4 row 5 : slovenia \| 5 \| 1 \| 1 \| 3 \| 94 \| 111 \| -17 \| 3 row 6 : portugal \| 5 \| 0 \| 0 \| 5 \| 96 \| 116 \| -20 \| 0 ] Execute this SQL based on the above table: select team where id = ( select id where team = 'slovenia' ) - 1	hungary
[ header: team name \| leagues \| base \| year started \| year ended \| notable riders row 1 : aldershot shots \| national league division three \| tongham greyhound stadium \| 1950 \| 1960 \| None row 2 : bristol bulldogs \| national league, provincial league \| knowle stadium, bristol \| pre-1939 \| 1954 \| phil crump row 3 : cradley heath heathens \| british league \| dudley wood stadium \| 1947 \| 1996 \| listed in article row 4 : crayford kestrels \| british league division two/national league \| crayford stadium, crayford \| 1968 \| 1983 \| None row 5 : fleetwood flyers \| speedway national league division two \| highbury avenue sports stadium, fleetwood \| 1948 \| 1952 \| None row 6 : hackney wick wolves \| speedway national league \| hackney wick stadium \| 1935 \| 1939 \| listed in article row 7 : hackney hawks \| british league \| hackney wick stadium \| 1963 \| 1983 \| listed in article row 8 : hastings saxons \| speedway national league division three \| pilot field, hastings \| 1948 \| 1949 \| None row 9 : hull vikings \| elite league, premier league \| craven park \| 1995 \| 2005 \| listed in article row 10 : leicester stadium \| speedway northern league, speedway southern league \| the stadium, blackbird road, leicester \| 1929 \| 1931 \| cyril "squib" row 11 : leicester hounds \| speedway national league division two \| the stadium, blackbird road, leicester \| 1937 \| 1937 \| wilf plant, lloy row 12 : liverpool chads \| speedway national league division three, speedway national \| stanley stadium, liverpool \| late 1920s \| 1960 \| peter craven row 13 : middlesbrough bears \| northern league, speedway national league \| cleveland park \| 1939 \| 1996 \| listed in article row 14 : milton keynes knights \| None \| groveway greyhound stadium, milton key \| 1978 \| 1992 \| None row 15 : new cross rangers \| speedway national league, speedway provincial league \| new cross stadium \| 1937 \| 1963 \| tom farndon row 16 : newport wasps \| provincial league, british league, national \| hayley stadium \| 1964 (closed 1977, reopened \| 2011 \| None row 17 : nottingham \| southern league, national league \| olympic gardens/white city stadium \| 1930 \| 1938 \| None row 18 : paisley lions \| speedway national league \| love street \| 1975 \| 1976 \| sid and mick sheldrick, row 19 : rayleigh rockets \| speedway provincial league, metropolitan league \| rayleigh weir stadium, ray \| 1949 \| 1973 \| None row 20 : southampton saints \| speedway national league \| banister court stadium, southampton \| 1928 \| 1963 \| None row 21 : sunderland stars \| speedway national league \| sunderland greyhound stadium, east boldon \| 1971 \| 1974 \| None row 22 : trelawny pitbulls \| conference league \| clay country moto parc, st aus \| 2003 \| 2003 \| None row 23 : wembley lions \| southern league, speedway national league \| empire stadium \| 1929 \| 1971 \| listed in article row 24 : west ham hammers \| speedway british league, speedway \| west ham stadium \| 1930 \| 1971 \| listed in article row 25 : white city rebels \| speedway british league \| white city stadium \| 1976 \| 1978 \| gordon kennett, steve row 26 : wimbledon dons \| speedway national league \| wimbledon stadium \| 1929 \| 2005 \| listed in article ] Execute this SQL based on the above table: select base - team name where notable riders = 'listed in article'	0, 0, 0, 0, 0, 0, 0, 0
[ header: season \| division \| tier \| position \| cup row 1 : 1994-95 \| regionalliga sud \| iii \| 7 \| quarter-final row 2 : 1995-96 \| regionalliga sud \| iii \| 13 \| round 1 row 3 : 1997-97 \| regionalliga sud \| iii \| 8 \| dnq row 4 : 1997-98 \| regionalliga sud \| iii \| 6 \| dnq row 5 : 1998-99 \| regionalliga sud \| iii \| 8 \| dnq row 6 : 1999-00 \| regionalliga sud \| iii \| 5 \| dnq row 7 : 2000-01 \| regionalliga sud \| iii \| 9 \| dnq row 8 : 2001-02 \| regionalliga sud \| iii \| 10 \| dnq row 9 : 2002-03 \| regionalliga sud \| iii \| 4 \| round 1 row 10 : 2003-04 \| regionalliga sud \| iii \| 1 \| dnq row 11 : 2004-05 \| regionalliga sud \| iii \| 6 \| quarter-final row 12 : 2005-06 \| regionalliga sud \| iii \| 11 \| dnq row 13 : 2006-07 \| regionalliga sud \| iii \| 8 \| dnq row 14 : 2007-08 \| regionalliga sud \| iii \| 8 \| dnq row 15 : 2008-09 \| 3. liga \| iii \| 5 \| None row 16 : 2009-10 \| 3. liga \| iii \| 8 \| None row 17 : 2010-11 \| 3. liga \| iii \| 20 \| None row 18 : 2011-12 \| regionalliga sud \| iv \| 14 \| None row 19 : 2012-13 \| regionalliga bayern \| iv \| 2 \| None ] Execute this SQL based on the above table: select cup where position > ( select position where cup = 'dnq' ) order by position limit 1	dnq
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select change where change = '+4.6%' order by domestic passengers limit 939	+4.6%
[ header: number \| year built \| builder \| status \| notes row 1 : e371 \| 1892 \| david munro & co., \| static display \| on static display at maldon station row 2 : d3 619 \| 1914 \| newport workshops \| stored \| obtained from ssr bendigo in row 3 : d3 646 \| 1905 \| newport workshops \| stored \| non-operational. had been plinthed row 4 : k157 \| 1940 \| newport workshops \| stored \| non-operational. stored at maldon for row 5 : k160 \| 1940 \| newport workshops \| overhaul \| withdrawn from traffic mid 2012, transferred by road row 6 : j515 \| 1954 \| vulcan foundry \| operational \| returned to traffic in mid april 2012. row 7 : j549 \| 1954 \| vulcan foundry \| operational \| returned to service during november 2013 following ] Execute this SQL based on the above table: select notes where id = 1	on static display at maldon station
[ header: heat \| time \| pos \| rider \| country row 1 : sf 1 \| 2nd race: 12.101 s 3r \| 1 \| lori-ann muenzer \| canada row 2 : sf 1 \| 1st race: 11.802 s \| 2 \| anna meares \| australia row 3 : sf 2 \| 2nd race: 11.965 s 3 \| 1 \| tamilla abassova \| russia row 4 : sf 2 \| 1st race: 11.893 s \| 2 \| svetlana grankovs \| russia ] Execute this SQL based on the above table: select count ( rider ) where pos < ( select pos where rider = 'lori-ann muenzer' )	0
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| matt jackson \| 3 \| 25 \| 1386 row 2 : 1 \| nick jackson \| 3 \| 25 \| 1386 row 3 : 3 \| el generico \| 5 \| 12 \| 637 row 4 : 4 \| super dragon \| 6 \| 3 \| 609 row 5 : 5 \| scott lost \| 5 \| 14 \| 578 row 6 : 6 \| chris bosh \| 3 \| 11 \| 433 row 7 : 7 \| paul london \| 1 \| 5 \| 335 row 8 : 8 \| davey richards \| 3 \| 1 \| 324 row 9 : 9 \| kevin steen \| 3 \| 4 \| 315 row 10 : 10 \| player uno \| 1 \| 2 \| 232 row 11 : 10 \| stupefied \| 1 \| 2 \| 232 row 12 : 12 \| joey ryan \| 3 \| 3 \| 165 row 13 : 13 \| roderick strong \| 3 \| 1 \| 121 row 14 : 14 \| quicksilver \| 3 \| 2 \| 120 row 15 : 15 \| b-boy \| 3 \| 1 \| 84 row 16 : 16 \| pac \| 1 \| 1 \| 71 row 17 : 17 \| excalibur \| 1 \| 1 \| 63 row 18 : 18 \| human tornado \| 1 \| 1 \| 56 row 19 : 18 \| jimmy jacobs \| 1 \| 0 \| 56 row 20 : 18 \| tyler black \| 1 \| 0 \| 56 row 21 : 21 \| jack evans \| 1 \| 0 \| 49 row 22 : 22 \| homicide \| 1 \| 0 \| 28 row 23 : 23 \| scorpio sky \| 1 \| 0 \| 1 row 24 : 24 \| brian cage \| 1 \| 0 \| <1 row 25 : 24 \| michael elgin \| 1 \| 0 \| <1 ] Execute this SQL based on the above table: select wrestler order by wrestler limit 1	b-boy
[ header: position \| song title \| artist \| sales \| highest position row 1 : 1 \| unchained melody/white cliffs \| robson green & jerome flyn \| 1,844,000 \| 1 row 2 : 2 \| gangsta's paradise \| coolio featuring l.v \| 1,110,000 \| 1 row 3 : 3 \| i believe/up on the roof \| robson green & jerome flyn \| 1,049,000 \| 1 row 4 : 4 \| back for good \| take that \| 960,000 \| 1 row 5 : 5 \| think twice \| celine dion \| 928,000 \| 1 row 6 : 6 \| fairground \| simply red \| 782,000 \| 1 row 7 : 7 \| you are not alone \| michael jackson \| 714,000 \| 1 row 8 : 8 \| earth song \| michael jackson \| 802,000 \| 1 row 9 : 9 \| missing \| everything but the girl \| 696,000 \| 3 row 10 : 10 \| wonderwall \| oasis \| 665,000 \| 2 row 11 : 11 \| boom boom boom \| outhere brothers \| 652,000 \| 1 row 12 : 12 \| country house \| blur \| 642,000 \| 1 row 13 : 13 \| father and son \| boyzone \| 620,000 \| 2 row 14 : 14 \| don't stop (wiggle wiggle \| outhere brothers \| 617,000 \| 1 row 15 : 15 \| boombastic \| shaggy \| 557,000 \| 1 row 16 : 16 \| cotton eye joe \| rednex \| 512,000 \| 1 row 17 : 17 \| set you free \| n-trance \| 503,000 \| 2 row 18 : 18 \| living next door to alice \| smokie featuring roy ch \| 495,000 \| 3 row 19 : 19 \| hold me, thrill me, kiss me, kill \| u2 \| 471,000 \| 2 row 20 : 20 \| roll with it \| oasis \| 456,000 \| 2 row 21 : 21 \| guaglione \| perez 'prez' prado \| 445,000 \| 2 row 22 : 22 \| i'll be there for you \| the rembrandts \| 421,000 \| 3 row 23 : 23 \| two can play that game \| bobby brown \| 413,000 \| 3 row 24 : 24 \| here comes the hotstepper \| ini kamoze \| 407,000 \| 4 row 25 : 25 \| shy guy \| diana king \| 405,000 \| 2 row 26 : 26 \| it's oh so quiet \| bjork \| 404,000 \| 4 row 27 : 27 \| never forget \| take that \| 403,000 \| 1 row 28 : 28 \| don't give me your life \| alex party \| 395,000 \| 2 row 29 : 29 \| waterfalls \| tlc \| 355,000 \| 4 row 30 : 30 \| scatman (ski ba bop ba \| scatman john \| 352,000 \| 2 row 31 : 31 \| some might say \| oasis \| 346,000 \| 1 row 32 : 32 \| you'll see \| madonna \| 342,000 \| 5 row 33 : 33 \| thunder \| east 17 \| 339,000 \| 4 row 34 : 34 \| stayin' alive \| n-trance featuring ricardo \| 335,000 \| 2 row 35 : 35 \| i'd lie for you (and that \| meat loaf \| 334,000 \| 2 row 36 : 36 \| common people \| pulp \| 326,000 \| 2 row 37 : 37 \| fantasy \| mariah carey \| 323,000 \| 4 row 38 : 38 \| i've got a little something for \| mn8 \| 317,000 \| 2 row 39 : 39 \| kiss from a rose/i'm alive \| seal \| 310,000 \| 4 row 40 : 40 \| dreamer \| livin' joy \| 303,000 \| 1 ] Execute this SQL based on the above table: select count ( * ) where song title = 'some might say'	1
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 1998 \| tyencastle park, e \| estonia \| 1-1 \| 3-2 \| ecqg9 row 2 : 2 \| 10 october 1998 \| tyencastle park, e \| estonia \| 3-2 \| 3-2 \| ecqg9 row 3 : 3 \| 14 october 1998 \| pittodrie stadium, aberdeen \| faroe islands \| 2-0 \| 2-1 \| ecqg9 row 4 : 4 \| 4 september 1999 \| olimpijski stadion \| bosnia and herzegovin \| 2-1 \| 2-1 \| ecqg9 row 5 : 5 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 1-0 \| 2-2 \| wcqg6 row 6 : 6 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 2-0 \| 2-2 \| wcqg6 row 7 : 7 \| 28 march 2001 \| hampden park, glasgow \| san marino \| 3-0 \| 4-0 \| wcqg6 ] Execute this SQL based on the above table: select date where date in ( '28 march 2001' , '4-0' ) group by date order by count ( * ) desc limit 1	28 march 2001
[ header: ecclesiastical jurisdictions \| latin name \| type \| rite \| ecclesiastical province \| established \| area (km2) row 1 : benguela \| benguelensis \| diocese \| roman \| huambo \| 6 june 1970 \| 49920 row 2 : cabinda \| cabindanus \| diocese \| roman \| luanda \| 2 july 1984 \| 7120 row 3 : caxito \| caxitonsis \| diocese \| roman \| luanda \| 6 june 2007 \| 25133 row 4 : dundo \| dundensis \| diocese \| roman \| luanda \| 9 november 2001 \| 103130 row 5 : huambo \| huambensis \| metropolitan archdiocese \| roman \| huambo \| 4 september 1940 \| 29500 row 6 : kwito-bie \| kvitobiensis \| diocese \| roman \| huambo \| 4 september 1940 \| 71000 row 7 : luanda \| luandensis \| metropolitan archdiocese \| roman \| luanda \| 1596 \| 1074 row 8 : lubango \| lubangensis \| metropolitan archdiocese \| roman \| lubango \| 27 july 1955 \| 118000 row 9 : lwena \| lvenanus \| diocese \| roman \| saurimo \| 1 july 1963 \| 199786 row 10 : malanje \| malaniensis \| metropolitan archdiocese \| roman \| malanje \| 25 november 1957 \| 107000 row 11 : mbanza congo \| mbanzacongensis \| diocese \| roman \| luanda \| 7 november 1984 \| 39459 row 12 : menongue \| menonguensis \| diocese \| roman \| lubango \| 10 august 1975 \| 213309 row 13 : namibe \| namibanus \| diocese \| roman \| lubango \| 21 march 2009 \| 57097 row 14 : ndalatando \| ndalatandensis \| diocese \| roman \| malanje \| 26 march 1990 \| 20159 row 15 : ondjiva \| ondiivanus \| diocese \| roman \| lubango \| 10 august 1975 \| 83900 row 16 : saurimo \| saurimoensis \| metropolitan archdiocese \| roman \| saurimo \| 10 august 1975 \| 77000 row 17 : sumbe \| sumbensis \| diocese \| roman \| luanda \| 10 august 1975 \| 60000 row 18 : uije \| uiiensis \| diocese \| roman \| luanda \| 14 march 1967 \| 63530 row 19 : viana \| viananensis \| diocese \| roman \| luanda \| 6 june 2007 \| 17206 ] Execute this SQL based on the above table: select sum ( ecclesiastical province ) where area (km2) = 199786	0.0
[ header: date \| opponent \| time \| score \| record row 1 : 10/9/2009 \| university of new hampshire \| 7 p.m \| loss, 4-0 \| 0-1-0 row 2 : 10/10/2009 \| boston college \| 5 p.m \| None \| None row 3 : 10/16/2009 \| providence college \| 7 p.m \| 1-4 \| None row 4 : 10/17/2009 \| university of connecticut \| 4 p.m \| None \| None row 5 : 10/23/2009 \| wayne state university \| 7 p.m \| None \| None row 6 : 10/24/2009 \| wayne state university \| 2 p.m \| None \| None row 7 : 10/30/2009 \| harvard university \| 7 p.m \| None \| None row 8 : 10/31/2009 \| dartmouth college \| 3:30 p.m \| None \| None row 9 : 11/6/2009 \| rensselaer \| 2:30 p.m \| None \| None row 10 : 11/7/2009 \| union college \| 2:30 p.m \| 4-0 \| None row 11 : 11/13/2009 \| st. lawrence university \| 7 p.m \| None \| None row 12 : 11/14/2009 \| clarkson university \| 4 p.m \| None \| None row 13 : 11/20/2009 \| quinnipiac university \| 7 p.m \| None \| None row 14 : 11/21/2009 \| princeton university \| 4 p.m \| None \| None row 15 : 11/24/2009 \| syracuse university \| 7 p.m \| None \| None row 16 : 11/27/2009 \| mercyhurst college \| 7 p.m \| None \| None row 17 : 11/28/2009 \| mercyhurst college \| 2 p.m \| None \| None row 18 : 12/4/2009 \| brown university \| 7 p.m \| None \| None row 19 : 12/5/2009 \| yale university \| 4 p.m \| None \| None row 20 : 1/2/2010 \| syracuse university \| 7 p.m \| None \| None row 21 : 1/8/2010 \| niagara university \| 7 p.m \| None \| None row 22 : 1/9/2010 \| niagara university \| 4 p.m \| None \| None row 23 : 1/15/2010 \| dartmouth college \| 7 p.m \| None \| None row 24 : 1/16/2010 \| harvard university \| 4 p.m \| None \| None row 25 : 1/22/2010 \| cornell university \| 3 p.m \| None \| None row 26 : 1/23/2010 \| cornell university \| 3 p.m \| None \| None row 27 : 1/29/2010 \| clarkson university \| 7 p.m \| None \| None row 28 : 1/30/2010 \| st. lawrence university \| 4 p.m \| None \| None row 29 : 2/5/2010 \| princeton university \| 7 p.m \| None \| None row 30 : 2/6/2010 \| quinnipiac university \| 4 p.m \| None \| None row 31 : 2/12/2010 \| yale university \| 7 p.m \| None \| None row 32 : 2/13/2010 \| brown university \| 4 p.m \| None \| None row 33 : 2/19/2010 \| union college \| 7 p.m \| 2-1 \| None row 34 : 2/20/2010 \| rensselaer \| 4 p.m \| None \| None ] Execute this SQL based on the above table: select time where opponent = 'syracuse university'	7, 7
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select division where season >= 2006 and season <= 2011 group by division order by count ( * ) desc limit 1	division 3
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select award order by year desc limit 1	best actor
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select surface where surface != 'hard' and prev. result = ( select prev. result where surface = 'hard' )	clay
[ 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 pick # where position = 'tackle'	85.0, 90.0

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[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1955 \| white embossed digits with white border \| "grand canyon state" embossed in white \| a-12345 \| None \| coded by county of issuance row 2 : 1958 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to bzz \| None row 3 : 1960 \| blue embossed digits with blue border \| grand canyon state embossed in blue and \| abc-123 \| caa-001 to dzz-999 \| None row 4 : 1963 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| eaa-001 to fzz \| None row 5 : 1965 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| haa-001 to jzz-999 \| None row 6 : 1968 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| kaa-001 to nzz- \| None row 7 : 1972 \| green embossed digits with green border \| grand canyon state embossed in green and \| abc-123 \| paa-001 to wzz-999 \| None row 8 : 1980 \| white embossed digits with white emb \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to nzz \| None row 9 : 1996 \| dark green embossed digits on \| grand canyon state in dark green thin plain letters at \| 123·abc \| 101·aaa to 999·z \| awarded "plate of the year" for best new row 10 : 2008 \| dark green screened digits on screened \| grand canyon state in dark green thin plain letters at \| abc1234 \| aaa0001 to present \| None ] Execute this SQL based on the above table: select slogan order by first issued desc limit 1	grand canyon state in dark green thin plain letters at bottom right in orange part of screen
[ 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 no. of athletes where = '4th' order by no. of athletes asc limit 1	373.0
[ header: class \| type \| ships \| displacement \| note row 1 : rari class \| tug supply vessel \| a635 revi \| 1,450 tonnes \| None row 2 : malabar class \| ocean going tug \| a664 malabar a6 \| 1,440 tonnes \| ice-breaking capabilities to 2 meters level row 3 : ut507 class \| salvage tug \| abeille flandre abeille languedoc \| 1,500 tonnes \| chartered row 4 : ut515 class \| salvage tug \| abeille bourbon abeille libert \| 4,000 tonnes \| chartered row 5 : ut710 class \| support, assistance, pollution control vessel \| argonaute jason \| 2,100 tonnes \| chartered, configured to accommodate nato row 6 : ut711 class \| support, assistance, pollution control vessel \| alcyon ailette \| 2,000 tonnes \| chartered row 7 : None \| training ships \| vn partisan \| 2,250 tonnes \| chartered row 8 : None \| training ships \| vn rebel \| None \| chartered ] Execute this SQL based on the above table: select note group by note order by count ( * ) desc limit 1	chartered
[ header: date \| competition \| home team \| score \| away team \| score row 1 : 16 october 2004 \| powergen cup \| bedford \| None \| tabard \| None row 2 : 15 february 2005 \| national division one \| bedford \| 26 \| otley \| 13 row 3 : 19 february 2005 \| national division one \| bedford \| 16 \| london welsh \| 17 row 4 : 26 february 2005 \| national division one \| sedgley park \| 12 \| bedford \| 23 row 5 : 12 march 2005 \| national division one \| bedford \| 23 \| cornish pirates \| 28 row 6 : 2 april 2005 \| national division one \| bedford \| 39 \| plymouth albion \| 21 row 7 : 9 april 2005 \| national division one \| birmingham solihull \| 18 \| bedford \| 29 ] Execute this SQL based on the above table: select competition where score > 4 and score < 1516	national division one, national division one, national division one, national division one, national division one, national division one
[ header: institution \| location \| founded \| type \| enrollment \| joined \| nickname row 1 : bryan college \| dayton, tennessee \| 1930 \| private (non-denominational) \| 1044 \| 2001 \| lions row 2 : columbia college \| columbia, south carolina \| 1854 \| private (methodist) \| 1200 \| 2011 \| fighting koalas row 3 : milligan college \| elizabethton, \| 1866 \| private (disciples of christ) \| 1006 \| 2001 \| buffaloes row 4 : montreat college \| montreat, north carolina \| 1916 \| private (presbyterian) \| 1145 \| 2001 \| cavaliers row 5 : point university \| west point, georgia \| 1937 \| private (christian churches and churches of \| 1000 \| 2011 \| skyhawks row 6 : reinhardt university \| waleska, georgia \| 1883 \| private (methodist) \| 1057 \| 2009 \| eagles row 7 : st. andrews university \| laurinburg, north carolina \| 1958 \| private \| 800 \| 2012 \| knights row 8 : savannah college of art and design \| atlanta, georgia \| 2005 \| private \| 2000 \| 2012 \| bees row 9 : tennessee wesleyan college \| athens, tennessee \| 1857 \| private (methodist) \| 1103 \| 2001 \| bulldogs row 10 : truett-mcconnell college \| cleveland, georgia \| 1946 \| private/christian (baptist) \| 550 \| 2013 \| bears row 11 : union college \| barbourville, kentucky \| 1879 \| private/christian (methodist) \| 1368 \| 2001 \| bulldogs row 12 : virginia intermont college \| bristol, virginia \| 1884 \| private/christian (baptist) \| 916 \| 2001 \| cobras ] Execute this SQL based on the above table: select nickname order by enrollment desc limit 1	bees
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select ( select elevation (ground station) where construction year = 1987 ) - ( select elevation (ground station) where construction year = 2000 )	348
[ header: stamp issue date \| stamp set \| #cards \| card set ref \| qty. issued row 1 : 16 may 1973 \| county cricket, 1873-1973 \| one \| phq 1 \| 20000 row 2 : 15 august 1973 \| 400th anniversary, birth of inigo \| one \| phq 2 \| 20000 row 3 : 12 september 1973 \| 19th commonwealth parliamentary conference \| one \| phq 3 \| 15200 row 4 : 14 november 1973 \| royal wedding (the princess anne) \| one \| phq 4 \| 290000 row 5 : 27 february 1974 \| british trees \| one \| phq 5 \| 16750 row 6 : 24 april 1974 \| fire service anniversary \| one \| phq 6 \| 30000 row 7 : 10 july 1974 \| medieval warriors \| four \| phq 7 \| 31750 row 8 : 9 october 1974 \| winston churchill centenary \| one \| phq 8 \| 114430 row 9 : 19 february 1975 \| bicentenary, birth j. \| one \| phq 9 \| 46250 row 10 : 23 april 1975 \| european architectural year \| three \| phq 10 \| 51000 row 11 : 11 june 1975 \| sailing \| one \| phq 11 \| 41350 row 12 : 13 august 1975 \| 150th anniversary of public railways \| four \| phq 12 \| 47500 row 13 : 22 october 1975 \| jane austen bicentenary \| four \| phq 13 \| 27330 row 14 : 28 april 1976 \| social reformers \| one \| phq 14 \| 38350 row 15 : 2 june 1976 \| american bicentenary \| one \| phq 15 \| 60950 row 16 : 30 june 1976 \| roses \| four \| phq 16 \| 34250 ] Execute this SQL based on the above table: select #cards where id = ( select id where #cards = 'one' ) + 1	one
[ header: year \| film \| role \| language row 1 : 2004 \| 7g rainbow colony \| kadhir \| tamil row 2 : 2005 \| sukran \| ravi shankar \| tamil row 3 : 2005 \| ponniyin selvan \| venu \| tamil row 4 : 2006 \| kedi \| raghu \| tamil row 5 : 2008 \| brahmanandam drama company \| ravi \| telugu row 6 : 2008 \| netru indru naal \| vetri \| tamil row 7 : 2008 \| ninna nedu rep \| vijay \| telugu row 8 : 2009 \| kadhalna summa \| vetrivel \| tamil row 9 : 2011 \| aaranya kaandam \| sappai \| tamil ] Execute this SQL based on the above table: select role where film = 'sukran'	ravi shankar
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select role where id = ( select id where role = 'satya' ) + 1	dhiren kumar
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select count ( symbol ) where name = 'vanadium'	1
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select count ( vehicle )	7
[ header: rank \| name \| image \| height ft (m) \| floors \| year \| notes row 1 : 1 \| key tower \| \| 947 (289) \| 57 \| 1991 \| 104th-tallest building in the row 2 : 3 \| 200 public square \| \| 658 (201) \| 45 \| 1985 \| also known as the bp building tallest row 3 : 4 \| tower at erieview \| \| 529 (161) \| 40 \| 1964 \| tallest building constructed in cleveland in row 4 : 5 \| one cleveland center \| \| 450 (137) \| 31 \| 1983 \| None row 5 : 6 \| fifth third center \| \| 446 (136) \| 27 \| 1992 \| None row 6 : 7 \| federal court house tower \| \| 430 (131) \| 23 \| 2002 \| tallest building constructed in the city in the 2000 row 7 : 8 \| justice center complex \| \| 420 (128) \| 26 \| 1977 \| tallest building constructed in the city in the 1970 row 8 : 9 \| anthony j. celebrezze \| \| 419 (128) \| 31 \| 1967 \| None row 9 : 10 \| pnc center \| \| 410 (125) \| 35 \| 1980 \| originally known as the national city center; building was row 10 : 12 \| at&t huron road building \| \| 365 (111) \| 24 \| 1927 \| commonly known as ohio bell build row 11 : 13 \| rhodes tower \| \| 363 (111) \| 20 \| 1971 \| originally known as the university tower row 12 : 14 \| eaton center \| \| 356 (109) \| 28 \| 1983 \| None row 13 : 15 \| ernst & young tower \| \| 330 (101) \| 21 \| 2013 \| phase i of the flats east bank row 14 : 16 \| marriott at key center \| \| 320 (98) \| 28 \| 1991 \| tallest all-hotel building in the city row 15 : 17 \| mcdonald investment center \| \| 308 (94) \| 23 \| 1968 \| also known as key center formerly known as the row 16 : 18 \| 55 public square \| \| 300 (91) \| 22 \| 1958 \| tallest building constructed in the city the 1950s row 17 : 19 \| huntington bank building \| \| 289 (88) \| 21 \| 1924 \| None row 18 : 20 \| north point tower \| \| 285 (87) \| 20 \| 1990 \| None row 19 : 21 \| diamond building \| \| 282 (86) \| 23 \| 1972 \| None row 20 : 21 \| standard building \| \| 282 (86) \| 21 \| 1925 \| None row 21 : 23 \| 1717 east ninth building \| \| 275 (84) \| 21 \| 1959 \| also known as the east ohio row 22 : 24 \| keith building \| \| 272 (83) \| 21 \| 1922 \| None row 23 : 25 \| east tower \| \| 266 (81) \| 25 \| 1973 \| tallest all-residential building in the row 24 : 25 \| embassy suites tower \| \| 266 (81) \| 26 \| 1969 \| also known as embassy suites at reserve square row 25 : 27 \| superior building \| \| 265 (81) \| 22 \| 1922 \| None row 26 : 28 \| fenn tower \| \| 265 (81) \| 21 \| 1930 \| None row 27 : 29 \| landmark office towers \| \| 260 (79) \| 22 \| 1930 \| None row 28 : 30 \| penton media building \| \| 253 (77) \| 21 \| 1972 \| None ] Execute this SQL based on the above table: select ( select rank where name = 'diamond building' ) - ( select rank where name = 'embassy suites tower' )	-4.0
[ header: region \| country \| location \| size (m) \| payload (metric tonnes) \| degrees of freedom \| x horiz disp (mm) \| y horiz disp (mm) \| z vert disp (mm) \| x horiz vel (mm/s) \| y horiz vel (mm/s) \| z vert vel (mm/s) \| x horiz accel (m/s2) \| y horiz accel (m/s2) \| z vert accel (m/s2) \| max freq (hz) \| details checked row 1 : asia \| china \| xi'a university of architecture & \| 2 x 2 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : asia \| japan \| hitachi engineering corp \| 4 x 4 \| 20 \| 1 \| ±150 \| None \| None \| ±750 \| None \| None \| ±20 \| None \| None \| 30 \| None row 3 : asia \| japan \| ishikawajima harima \| 4.5 x 4.5 \| 35 \| 6 \| ±100 \| ±100 \| ±67 \| ±750 \| ±750 \| ±500 \| ±15 \| ±15 \| ±10 \| 50 \| None row 4 : asia \| japan \| kumagai-gumi corp \| 5 x 5 \| 64 \| 6 \| ±80 \| ±260 \| ±50 \| ±600 \| ±1500 \| ±500 \| ±30 \| ±10 \| ±10 \| 70 \| None row 5 : asia \| japan \| ministry of construction \| 6 x 8 \| 100 \| 2 \| ±75 \| None \| None \| ±600 \| None \| None \| ±7 \| None \| None \| 30 \| None row 6 : asia \| japan \| shimizu corporation \| 4 x 4 \| 20 \| 3 \| ±200 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| None row 7 : asia \| japan \| tobishima corp ltd \| 4 x 4 \| 20 \| 2 \| ±75 \| None \| None \| None \| None \| None \| ±15 \| None \| None \| 30 \| None row 8 : canada \| canada \| university of british columbia \| 4 x 4 \| 30 \| 6 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 9 : europe \| france \| commissariat a l'energie \| 4 x 3 \| 20 \| 1 \| ±125 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| 27/01/2011 row 10 : europe \| italy \| european centre for training & research in earthquake engineering \| 5.6 x 7 \| 140 \| 1 \| ±500 \| None \| None \| ±2200 \| None \| None \| 59 \| None \| None \| 50 \| None row 11 : europe \| italy \| european centre for training & research in earthquake engineering \| 1.6 x 4.4 \| 5000 (vertical load) \| 5 \| ±500 \| ±265 \| 140 \| ±2200 \| ±600 \| ±250 \| 18 \| None \| None \| 20 \| None row 12 : europe \| spain \| cedex \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 13 : usa \| colorado \| anco engineers, inc boulder, colora \| 3 x 3 \| 10 \| 3 \| ±200 \| ±200 \| ±200 \| ±2000 \| ±2000 \| ±2000 \| ±30 \| ±30 \| ±30 \| 40 \| 16/10/2012 ] Execute this SQL based on the above table: select count ( region ) where size (m) = '4 x 3'	1
[ header: institution \| location \| enrollment \| nickname \| varsity sports \| rugby since \| head coach row 1 : clemson university \| clemson, south carolina \| 20576 \| tigers \| 19 \| 1967 \| justin hickey row 2 : maryland \| college park, maryland \| 37641 \| terrapins \| 20 \| 1968 \| jeff soeken row 3 : navy \| annapolis, maryland \| 4576 \| midshipmen \| 30 \| 1963 \| mike flanagan row 4 : north carolina \| chapel hill, north carolina \| 29340 \| tar heels \| 28 \| 1966 \| pete earsman row 5 : north carolina state \| raleigh, north carolina \| 34767 \| wolfpack \| 25 \| 1965 \| jim latham row 6 : university of virginia \| charlottesville, virginia \| 20895 \| cavaliers \| 25 \| 1961 \| jon roberts row 7 : virginia tech \| blacksburg, virginia \| 30379 \| hokies \| 21 \| 1891 / 1968 \| andy richards row 8 : wake forest \| winston-salem, north car \| 7079 \| demon deacons \| 18 \| 1973 \| patrick kane ] Execute this SQL based on the above table: select count ( location ) where varsity sports >= 902	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 12 \| 13 \| 6 \| 31 row 2 : 2 \| russia \| 10 \| 5 \| 6 \| 21 row 3 : 3 \| australia \| 8 \| 12 \| 6 \| 26 row 4 : 4 \| china \| 7 \| 4 \| 8 \| 19 row 5 : 5 \| germany \| 5 \| 6 \| 5 \| 16 row 6 : 6 \| japan \| 3 \| 3 \| 3 \| 9 row 7 : 7 \| netherlands \| 3 \| 2 \| 2 \| 7 row 8 : 8 \| great britain \| 2 \| 3 \| 3 \| 8 row 9 : 9 \| ukraine \| 2 \| 3 \| 2 \| 7 row 10 : 10 \| italy \| 2 \| 2 \| 1 \| 5 row 11 : 11 \| canada \| 2 \| 0 \| 1 \| 3 row 12 : 12 \| hungary \| 1 \| 4 \| 1 \| 6 row 13 : 13 \| spain \| 1 \| 2 \| 3 \| 6 row 14 : 14 \| poland \| 1 \| 1 \| 0 \| 2 row 15 : 15 \| france \| 1 \| 0 \| 2 \| 3 row 16 : 16 \| finland \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belarus \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| czech republic \| 0 \| 2 \| 0 \| 2 row 19 : 19 \| slovakia \| 0 \| 1 \| 1 \| 2 row 20 : 20 \| denmark \| 0 \| 1 \| 0 \| 1 row 21 : 20 \| croatia \| 0 \| 1 \| 0 \| 1 row 22 : 22 \| romania \| 0 \| 0 \| 2 \| 2 row 23 : 23 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 24 : 23 \| mexico \| 0 \| 0 \| 1 \| 1 row 25 : 23 \| serbia and montenegro \| 0 \| 0 \| 1 \| 1 row 26 : 23 \| south africa \| 0 \| 0 \| 1 \| 1 row 27 : 23 \| sweden \| 0 \| 0 \| 1 \| 1 row 28 : 23 \| tunisia \| 0 \| 0 \| 1 \| 1 row 29 : total \| total \| 62 \| 65 \| 59 \| 186 ] Execute this SQL based on the above table: select count ( * ) where nation = 'canada'	1
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select max ( final points )	15.0
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select waveband order by accuracy of amplitude2 measurements limit 1	v, r, i, j, h, k
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select name where name < ( select name where name = 'arthur tell schwab' ) order by name desc limit 1	alfred maasik
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select ( select year where role = 'pommel' ) - ( select year where role = 'mayor' )	-12
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select count ( date ) where attendance = 4154	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 7 \| 6 \| 1 \| 14 row 2 : 2 \| china \| 5 \| 5 \| 2 \| 12 row 3 : 3 \| japan \| 3 \| 1 \| 5 \| 9 row 4 : 4 \| hong kong \| 2 \| 3 \| 5 \| 10 row 5 : 5 \| chinese taipei \| 2 \| 0 \| 0 \| 2 row 6 : 6 \| iran \| 1 \| 3 \| 2 \| 6 row 7 : 7 \| thailand \| 1 \| 2 \| 3 \| 6 row 8 : 8 \| malaysia \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| kyrgyzstan \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| kazakhstan \| 0 \| 1 \| 0 \| 1 row 11 : 10 \| uzbekistan \| 0 \| 1 \| 0 \| 1 row 12 : total \| total \| 23 \| 23 \| 23 \| 69 ] Execute this SQL based on the above table: select nation where id = 1	south korea
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : 19 \| p +5.0 \| 7 \| chaparral cars inc \| phil hill mike spence \| chaparral 2f \| chevrolet 7.0l v \| 225 row 2 : 26 \| s 5.0 \| 16 \| ford france s.a \| pierre dumay henri greder \| ford gt40 mk. \| ford 4.7l v8 \| 179 row 3 : 27 \| p +5.0 \| 5 \| holman & moody \| roger mccluskey \| ford gt40 mk. \| ford 7.0l v8 \| 179 row 4 : 28 \| gt +5.0 \| 9 \| dana chevrolet inc \| bob bondurant dick guld \| chevrolet corvette \| chevrolet 7.0l v \| 167 row 5 : 29 \| p 2.0 \| 29 \| equipe matra sports \| jean-pierre beltoise \| matra ms630 \| brm 2.0l v8 \| 155 row 6 : 32 \| gt 2.0 \| 60 \| philippe farjon \| philippe farjon andre wick \| porsche 911s \| porsche 2.0l flat-6 \| 126 row 7 : 36 \| p +5.0 \| 8 \| chaparral cars inc \| bob johnson bruce jenning \| chaparral 2f \| chevrolet 7.0l v \| 91 row 8 : 39 \| p 2.0 \| 39 \| porsche system engineering \| udo schutz joe buzz \| porsche 910/6l \| porsche 2.0l flat-6 \| 84 row 9 : 41 \| p +5.0 \| 14 \| john wyer automotive engineering \| david piper richard thomp \| mirage m1 (ford gt \| ford 5.7l v8 \| 59 row 10 : 45 \| p 1.15 \| 53 \| s.e.c. automobiles \| andre guilhaudin ala \| cd sp66c \| peugeot 1.1l i4 \| 35 row 11 : 46 \| p 5.0 \| 26 \| north american racing team (nart) \| ricardo rodriguez chuck \| ferrari 365 p2 \| ferrari 4.4l v12 \| 30 row 12 : 47 \| p +5.0 \| 15 \| john wyer automotive engineering \| jacky ickx brian mu \| mirage m1 (ford gt \| ford 5.7l v8 \| 29 row 13 : 49 \| p +5.0 \| 12 \| lola cars ltd. / \| peter de klerk chr \| lola t70 mk.i \| aston martin 5.0l \| 25 row 14 : 50 \| s 5.0 \| 62 \| john wyer automotive engineering / vis \| mike salmon brian redman \| ford gt40 mk. \| ford 4.7l v8 \| 20 ] Execute this SQL based on the above table: select class where pos = 45	p 1.15
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select club where id = 3	bristol rovers
[ header: model \| launch \| code name \| fab (nm) \| bus interface \| memory (mib) \| core clock (mhz) \| memory clock (mhz) \| config core1 \| fillrate moperations/s \| fillrate mpixels/s \| fillrate mtextels/s \| fillrate mvertices/s \| memory bandwidth (gb/s) \| memory bus type \| memory bus width (bit) \| directx support row 1 : voodoo graphics \| october 1, 1996 \| sst1 \| 500 \| pci \| 2, 4 \| 50 \| 50 \| 1:0:1:1 \| 50 \| 50 \| 50 \| 0 \| 0.8 \| edo \| 128 \| 3 row 2 : voodoo rush \| april 1997 \| sst96 \| 500 \| agp 2x, pc \| 2, 4 \| 50 \| 50 \| 1:0:1:1 \| 50 \| 50 \| 50 \| 0 \| 0.4 \| edo \| 64 \| 3 row 3 : voodoo2 \| march 1, 1998 \| sst96 \| 350 \| pci \| 8, 12 \| 90 \| 90 \| 1:0:2:1 \| 90 \| 90 \| 180 \| 0 \| 0.72 \| edo \| 64 \| 3 row 4 : voodoo banshee \| june 22, 1998 \| banshee \| 350 \| agp 2x, pc \| 8, 16 \| 100 \| 100 \| 1:0:1:1 \| 100 \| 100 \| 100 \| 0 \| 1.6 \| sdr \| 128 \| 6 row 5 : velocity 200 \| july 26, 1999 \| avenger \| 250 \| agp 2x \| 12 \| 143 \| 143 \| 1:0:2:1 \| 143 \| 143 \| 286 \| 0 \| 2.288 \| sdr \| 128 \| 6 row 6 : voodoo3 1000 \| march 1999 \| avenger \| 250 \| agp 2x, pc \| 8, 16 \| 125 \| 125 \| 1:0:2:1 \| 125 \| 125 \| 250 \| 0 \| 2 \| sdr \| 128 \| 6 row 7 : voodoo3 2000 \| april 3, 1999 \| avenger \| 250 \| agp 2x, pc \| 16 \| 143 \| 143 \| 1:0:2:1 \| 143 \| 143 \| 286 \| 0 \| 2.288 \| sdr \| 128 \| 6 row 8 : voodoo3 3500 \| june 1999 \| avenger \| 250 \| agp 2x, pc \| 16 \| 183 \| 183 \| 1:0:2:1 \| 183 \| 183 \| 366 \| 0 \| 2.928 \| sdr \| 128 \| 6 row 9 : voodoo4 4200 \| never released \| vsa-100 \| 250 \| agp 4x, pc \| 32 \| 183 \| 183 \| 2:0:2:2 \| 366 \| 366 \| 366 \| 0 \| 1.464 \| sdr \| 64 \| 6 row 10 : voodoo4 4500 \| october 13, 2000 \| vsa-100 \| 250 \| agp 4x, pc \| 32 \| 166 \| 166 \| 2:0:2:2 \| 332 \| 332 \| 332 \| 0 \| 2.656 \| sdr \| 128 \| 6 row 11 : voodoo4 4800 \| never released \| vsa-100 \| 250 \| agp 4x, pc \| 32 \| 200 \| 200 \| 2:0:2:2 \| 400 \| 400 \| 400 \| 0 \| 3.2 \| sdr \| 128 \| 6 ] Execute this SQL based on the above table: select count ( memory bus type )	11
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select artist(s) where title < ( select title where artist(s) = 'mitchell niemeyer' ) order by title desc limit 1	tara mcdonald
[ header: pos \| no. \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| 75 \| mattia pasini \| aprilia \| 27 \| 39:44.091 \| 3 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 27 \| 0.01 \| 2 \| 20 row 3 : 3 \| 52 \| lukas pesek \| derbi \| 27 \| 0.111 \| 1 \| 16 row 4 : 5 \| 24 \| simone corsi \| gilera \| 27 \| 9.372 \| 9 \| 11 row 5 : 6 \| 1 \| thomas luthi \| honda \| 27 \| 10.57 \| 13 \| 10 row 6 : 7 \| 18 \| nicolas terol \| derbi \| 27 \| 11.835 \| 5 \| 9 row 7 : 8 \| 36 \| mika kallio \| ktm \| 27 \| 11.905 \| 4 \| 8 row 8 : 9 \| 6 \| joan olive \| aprilia \| 27 \| 26.017 \| 16 \| 7 row 9 : 10 \| 33 \| sergio gadea \| aprilia \| 27 \| 26.172 \| 12 \| 6 row 10 : 11 \| 32 \| fabrizio lai \| honda \| 27 \| 26.361 \| 6 \| 5 row 11 : 12 \| 38 \| bradley smith \| honda \| 27 \| 26.389 \| 14 \| 4 row 12 : 13 \| 11 \| sandro cortese \| honda \| 27 \| 26.48 \| 11 \| 3 row 13 : 14 \| 14 \| gabor talmacsi \| honda \| 27 \| 26.606 \| 7 \| 2 row 14 : 15 \| 71 \| tomoyoshi koyama \| malaguti \| 27 \| 27.068 \| 15 \| 1 row 15 : 16 \| 54 \| randy krummenacher \| ktm \| 27 \| 27.192 \| 21 \| None row 16 : 18 \| 17 \| stefan bradl \| ktm \| 27 \| 46.201 \| 18 \| None row 17 : 19 \| 95 \| georg frohlich \| honda \| 27 \| 56.274 \| 28 \| None row 18 : 20 \| 35 \| raffaele de rosa \| aprilia \| 27 \| 56.549 \| 25 \| None row 19 : 21 \| 26 \| vincent braillard \| aprilia \| 27 \| 56.782 \| 31 \| None row 20 : 23 \| 15 \| michele pirro \| aprilia \| 27 \| 57.474 \| 22 \| None row 21 : 24 \| 29 \| andrea iannone \| aprilia \| 27 \| 57.707 \| 20 \| None row 22 : 25 \| 7 \| alexis masbou \| malaguti \| 27 \| +1:04.698 \| 37 \| None row 23 : 26 \| 16 \| michele conti \| honda \| 27 \| +1:04.793 \| 32 \| None row 24 : 28 \| 43 \| manuel hernandez \| aprilia \| 27 \| +1:17.323 \| 30 \| None row 25 : 29 \| 23 \| lorenzo baroni \| honda \| 27 \| +1:17.507 \| 26 \| None row 26 : 30 \| 21 \| mateo tunez \| aprilia \| 27 \| +1:20.583 \| 29 \| None row 27 : 32 \| 98 \| toni wirsing \| honda \| 26 \| +1 lap \| 42 \| None row 28 : ret \| 44 \| karel abraham \| aprilia \| 16 \| retirement \| 33 \| None row 29 : ret \| 13 \| dino lombardi \| aprilia \| 13 \| retirement \| 41 \| None row 30 : ret \| 37 \| joey litjens \| honda \| 11 \| retirement \| 38 \| None row 31 : ret \| 22 \| pablo nieto \| aprilia \| 9 \| retirement \| 8 \| None ] Execute this SQL based on the above table: select sum ( no. )	1025.0
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select township order by population density (/mi2) asc limit 1	freeman
[ header: name \| year inducted \| position \| apps \| goals row 1 : luther blissett \| 2003 \| forward \| 503 \| 186 row 2 : tony coton \| 2004 \| goalkeeper \| 291 \| 0 row 3 : john mcclelland \| 2005 \| defender \| 234 \| 3 row 4 : tommy mooney \| 2006 \| forward \| 287 \| 64 row 5 : les taylor \| 2007 \| midfielder \| 211 \| 20 row 6 : david james \| 2008 \| goalkeeper \| 98 \| 0 row 7 : ian bolton \| 2009 \| defender \| 287 \| 36 row 8 : nigel gibbs \| 2010 \| defender \| 491 \| 7 row 9 : duncan welbourne \| 2011 \| defender \| 457 \| 25 row 10 : ross jenkins \| 2012 \| forward \| 398 \| 142 row 11 : robert page \| 2013 \| defender \| 218 \| 2 ] Execute this SQL based on the above table: select name where goals = 0	tony coton, david james
[ header: # \| title \| producer(s) \| featured guest(s) \| time row 1 : 1 \| "the c-quel" \| pillo jamel, the heatmakerz \| None \| 3:36 row 2 : 2 \| "2000 b.c. (before can \| ty fyffe, laze \| None \| 3:31 row 3 : 3 \| "life liquid" \| juju \| journalist \| 4:24 row 4 : 4 \| "shock therapy" (interlude) \| None \| None \| 1:10 row 5 : 5 \| "watch who u beef wit" \| chaos \| None \| 4:30 row 6 : 6 \| "i'll buss 'em \| dj clue, duro \| rakim \| 4:07 row 7 : 7 \| "mic-nificent" \| daniel "danny p \| None \| 3:13 row 8 : 8 \| "die slow" \| ty fyffe \| journalist \| 4:00 row 9 : 9 \| "doomsday news" \| chaos \| None \| 3:33 row 10 : 10 \| "lost @ "c"" \| taiwan green, ir \| None \| 4:59 row 11 : 11 \| "phuk u" \| mike "punch" harper \| None \| 4:04 row 12 : 12 \| "horsemen" \| None \| pharoahe monch \| 1:22 row 13 : 13 \| "horsementality" \| chaos \| ras kass, kill \| 5:59 row 14 : 14 \| "100 bars" \| mike "punch" harper \| None \| 4:58 row 15 : 15 \| "chaos" \| chaos \| None \| 2:29 ] Execute this SQL based on the above table: select featured guest(s) order by featured guest(s) desc limit 1	ras kass, killah priest, kurupt
[ header: team \| location \| stadium \| capacity \| manager \| captain \| kit manufacturer \| shirt sponsor row 1 : auckland city fc \| auckland \| kiwitea street \| 3500 \| ramon tribulietx \| ivan vicelich \| nike \| trillian trust inc row 2 : canterbury united \| christchurch \| asb football park \| 9000 \| keith braithwaite \| dan terris \| samurai \| robbie's bar and bistro row 3 : hawke's bay united \| napier \| bluewater stadium \| 5000 \| chris greatholder \| bill robertson \| samurai \| kinetic electrical row 4 : otago united \| dunedin \| forsyth barr stadium \| 30500 \| richard murray \| tristan prattley \| canterbury \| gran's remedy row 5 : team wellington \| wellington \| david farrington park \| 3000 \| matt calcott \| karl whalen \| adidas \| exodus health & fitness club row 6 : waikato fc \| hamilton \| porritt stadium \| 2700 \| mark cossey \| adam thomas \| nike \| the soccer shop row 7 : waitakere united \| waitakere city \| fred taylor park \| 2500 \| paul marshall \| jake butler \| lotto sport italia \| cuesports foundation row 8 : youngheart manawatu \| palmerston north \| memorial park \| 8000 \| stu jacobs \| nathan cooksley \| nike \| new zealand pharmaceuticals ] Execute this SQL based on the above table: select count ( manager ) where capacity >= 9000	2
[ header: week \| date \| opponent \| score \| result \| record row 1 : 1 \| july 9 \| vs. saskatche \| 31-21 \| win \| 1-0 row 2 : 2 \| july 16 \| at montreal concordes \| 36-0 \| win \| 2-0 row 3 : 3 \| july 24 \| vs. hamilton t \| 36-25 \| loss \| 2-1 row 4 : 4 \| aug 1 \| at edmonton eskimos \| 32-26 \| win \| 3-1 row 5 : 5 \| aug 8 \| vs. bc lions \| 29-16 \| win \| 4-1 row 6 : 6 \| aug 20 \| at calgary stampeders \| 35-4 \| win \| 5-1 row 7 : 7 \| aug 28 \| vs. ottawa rough \| 27-20 \| win \| 6-1 row 8 : 8 \| sept 5 \| at saskatchewan roughrid \| 36-35 \| win \| 7-1 row 9 : 9 \| sept 11 \| vs. calgary stampeders \| 15-11 \| loss \| 7-2 row 10 : 10 \| sept 18 \| at ottawa rough riders \| 38-28 \| loss \| 7-3 row 11 : 11 \| sept 25 \| vs. montreal concordes \| 19-16 \| win \| 8-3 row 12 : 12 \| oct 2 \| at bc lions \| 29-19 \| win \| 9-3 row 13 : 13 \| oct 11 \| vs. toronto argonaut \| 39-35 \| win \| 10-3 row 14 : 14 \| oct 17 \| at toronto argonauts \| 29-16 \| win \| 11-3 row 15 : 15 \| oct 23 \| vs. edmonton \| 33-17 \| loss \| 11-4 row 16 : 16 \| nov 7 \| at hamilton tiger-cat \| 24-21 \| loss \| 11-5 ] Execute this SQL based on the above table: select result where id < ( select id where result = 'win' and score = '29-16' )	win, win, loss, win
[ header: player \| league \| cup \| europa league \| total row 1 : garra dembele \| 25 \| 3 \| 8 \| 36 row 2 : daniel mladenov \| 5 \| 0 \| 5 \| 10 row 3 : ismail isa \| 3 \| 1 \| 4 \| 8 row 4 : hristo yovov \| 6 \| 0 \| 1 \| 7 row 5 : joazinho \| 2 \| 0 \| 2 \| 4 row 6 : vladimir gadzhe \| 2 \| 1 \| 1 \| 4 row 7 : darko tasevski \| 4 \| 0 \| 0 \| 4 row 8 : alex \| 3 \| 0 \| 0 \| 3 row 9 : jeanvion yulu-mat \| 3 \| 0 \| 0 \| 3 row 10 : mariyan ognyanov \| 2 \| 0 \| 0 \| 2 row 11 : serginho greene \| 1 \| 0 \| 1 \| 2 row 12 : yordan miliev \| 1 \| 0 \| 0 \| 1 row 13 : ivo ivanov \| 1 \| 0 \| 0 \| 1 row 14 : total \| 58 \| 5 \| 22 \| 85 ] Execute this SQL based on the above table: select sum ( total )	170.0
[ header: rank \| city \| population \| area (km2) \| density (inhabitants/km2) \| altitude (mslm) row 1 : 1st \| alessandria \| 94191 \| 203.97 \| 461.8 \| 95 row 2 : 2nd \| casale monferrato \| 36039 \| 86.32 \| 417.5 \| 116 row 3 : 3rd \| novi ligure \| 28581 \| 54.22 \| 527.1 \| 197 row 4 : 4th \| tortona \| 27476 \| 99.29 \| 276.7 \| 122 row 5 : 5th \| acqui terme \| 20426 \| 33.42 \| 611.2 \| 156 row 6 : 6th \| valenza \| 20282 \| 50.05 \| 405.2 \| 125 row 7 : 7th \| ovada \| 11912 \| 35.33 \| 337.2 \| 186 row 8 : 8th \| serravalle scrivia \| 6445 \| 16.02 \| 402.3 \| 225 row 9 : 9th \| arquata scrivia \| 6260 \| 30.36 \| 206.2 \| 248 row 10 : 10th \| castelnuovo scrivia \| 5473 \| 45.42 \| 120.5 \| 85 ] Execute this SQL based on the above table: select count ( * ) where area (km2) = '16.02'	1
[ header: abbreviation \| settlement \| district \| official name \| division \| cup \| other information row 1 : taaja \| taalintehdas \| turku \| taalintehtaan \| vitonen \| 2 \| None row 2 : tampere united \| tampere \| tampere \| tampere united \| veikkausliiga \| 3 \| None row 3 : tapa 2 \| tampere \| tampere \| tampereen palloil \| kutonen \| 1 \| None row 4 : tarmo \| kalvia, kokkola \| keski-pohjanma \| kalvian tarmo \| kutonen \| 1 \| None row 5 : team vanpa \| vantaa \| uusimaa \| team vanpa \| vitonen \| 1 \| None row 6 : tips \| tikkurila, vantaa \| uusimaa \| tikkurilan palloseura \| kolmonen \| 2 \| None row 7 : tjk liepo \| tampere \| tampere \| tampereen jalkapall \| vitonen \| 1 \| None row 8 : tkt \| tampere \| tampere \| tampereen kisat \| kolmonen \| 2 \| None row 9 : tops-90 \| tohmajarvi \| ita-suomi \| tohmajarven palloseura-90 \| nelonen \| 2 \| None row 10 : torre calcio \| turku \| turku \| torre calcio \| kutonen \| 1 \| None row 11 : tota \| tornio \| pohjois-suomi \| tornion tarmo \| kolmonen \| 1 \| None row 12 : tote/ap \| toukola \| helsinki \| toukolan teras / \| vitonen \| 2 \| None row 13 : tou/2 \| toivala, siilinjarvi \| ita-suomi \| toivalan urheilijat \| vitonen \| 1 \| None row 14 : tove \| pori \| satakunta \| toejoen veikot \| kolmonen \| 2 \| None row 15 : tp-47 \| tornio \| pohjois-suomi \| tornion pallo-47 \| kakkonen \| 3 \| None row 16 : tp-49 \| toijala, akaa \| tampere \| toijalan pallo-49 \| nelonen \| 2 \| also abbreviated as toip row 17 : tp-seinajoki \| seinajoki \| vaasa \| tp-seinajoki ( \| nelonen \| 1 \| None row 18 : tps \| turku \| turku \| turun palloseura \| veikkausliiga \| 3 \| None row 19 : tpv \| tampere \| tampere \| tampereen palloveiko \| ykkonen \| 3 \| None row 20 : tpv 2 \| tampere \| tampere \| tampereen pallo- \| kolmonen \| 2 \| None row 21 : trafk \| jarvenpaa \| uusimaa \| traskanda fotboll k \| kutonen \| 1 \| None ] Execute this SQL based on the above table: select official name where division = 'vitonen'	taalintehtaan janteva, team vanpa, tampereen jalkapalloklubi / liepo, toukolan teras / avauspotku, toivalan urheilijat / 2
[ header: whitworth size (in) \| core diameter (in) \| threads per inch \| pitch (in) \| tapping drill size row 1 : 1/16 \| 0.0411 \| 60 \| 0.0167 \| number drill 56 (1.2 mm) row 2 : 3/32 \| 0.0672 \| 48 \| 0.0208 \| number drill 49 (1.85 mm) row 3 : 1/8 \| 0.093 \| 40 \| 0.025 \| number drill 39 (2.55 mm) row 4 : 5/32 \| 0.1162 \| 32 \| 0.0313 \| number drill 30 (3.2 mm) row 5 : 3/16 \| 0.1341 \| 24 \| 0.0417 \| number drill 26 (3.7 mm) row 6 : 7/32 \| 0.1654 \| 24 \| 0.0417 \| number drill 16 (4.5 mm) row 7 : 1/4 \| 0.186 \| 20 \| 0.05 \| number drill 9 (5.1 mm) row 8 : 5/16 \| 0.2414 \| 18 \| 0.0556 \| letter drill f (6.5 mm) row 9 : 3/8 \| 0.295 \| 16 \| 0.0625 \| 5/16 in (7.94 mm) row 10 : 7/16 \| 0.346 \| 14 \| 0.0714 \| letter drill u (9.3 mm) row 11 : 1/2 \| 0.3933 \| 12 \| 0.0833 \| letter drill z (10.5 mm) row 12 : 9/16 \| 0.4558 \| 12 \| 0.0833 \| 12.1 mm (0.4764 in) row 13 : 5/8 \| 0.5086 \| 11 \| 0.0909 \| 13.5 mm (0.5315 in) row 14 : 11/16 \| 0.5711 \| 11 \| 0.0909 \| 15 mm (0.5906 in) row 15 : 3/4 \| 0.6219 \| 10 \| 0.1 \| 16.27 mm (0.6406 in) row 16 : 13/16 \| 0.6845 \| 10 \| 0.1 \| 18 mm (0.7087 in) row 17 : 7/8 \| 0.7327 \| 9 \| 0.1111 \| 19.25 mm (0.7579 in) row 18 : 15/16 \| 0.7953 \| 9 \| 0.1111 \| 20.75 mm (0.8169 in) row 19 : 1 \| 0.8399 \| 8 \| 0.125 \| 22 mm (0.8661 in) row 20 : 1 1/8 \| 0.942 \| 7 \| 0.1429 \| None row 21 : 1 1/4 \| 1.067 \| 7 \| 0.1429 \| None row 22 : 1 1/2 \| 1.2866 \| 6 \| 0.1667 \| None row 23 : 1 3/4 \| 1.4939 \| 5 \| 0.2 \| None row 24 : 2 \| 1.7154 \| 4.5 \| 0.2222 \| None row 25 : 2 1/2 \| 2.18 \| 4 \| 0.25 \| None ] Execute this SQL based on the above table: select abs ( ( select pitch (in) where tapping drill size = 'number drill 26 (3.7 mm)' ) - ( select pitch (in) where tapping drill size = 'letter drill f (6.5 mm)' ) )	0.013899999999999996
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1995-08-06 \| kyoto, japan \| costa rica \| 3-0 \| won \| friendly row 2 : 2 \| 1995-10-24 \| tokyo, japan \| saudi arabia \| 2-1 \| won \| friendly row 3 : 3 \| 1996-12-09 \| al ain, united arab emir \| uzbekistan \| 4-0 \| won \| 1996 afc asian cup group row 4 : 4 \| 1997-03-25 \| muscat, oman \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 5 : 5 \| 1997-06-22 \| tokyo, japan \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 6 : 6 \| 1997-11-01 \| seoul, korea republic \| south korea \| 2-0 \| won \| 1998 fifa world cup qualification row 7 : 7 \| 2000-10-14 \| sidon, lebanon \| saudi arabia \| 4-1 \| won \| 2000 afc asian cup group row 8 : 8 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter row 9 : 9 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter ] Execute this SQL based on the above table: select venue order by # asc limit 1	kyoto, japan
[ header: name \| variant name(s) \| source \| source coordinates \| length \| mouth \| mouth coordinates row 1 : mouth \| None \| None \| None \| None \| aliso creek beach, laguna beach \| 33°30′38′′n 117° row 2 : wood canyon creek \| None \| aliso viejo \| 33°35′39′′n 117° \| 2.8 miles (4.5 km) \| aliso canyon-right bank of alis \| 33°32′28′′n 117° row 3 : sulphur creek \| arroyo salada, sulph \| north laguna niguel \| 33°33′33′′n 117° \| 4.5 miles (7.2 km) \| head of aliso canyon-left bank of \| 33°32′32′′n 117° row 4 : aliso hills channel \| None \| south laguna hills \| None \| 4.5 miles (7.2 km) \| aliso viejo-left bank of al \| None row 5 : dairy fork \| dairy fork storm drain \| south laguna woods \| None \| 3 miles (4.8 km) \| aliso viejo- right bank of al \| None row 6 : munger creek \| munger creek storm drain \| lake forest \| None \| 1 mile (1.6 km) \| mission viejo-right bank of aliso \| None row 7 : unnamed northern fork \| None \| portola hills \| None \| 2.5 miles (4.0 km) \| mission viejo-right bank of aliso \| None row 8 : english canyon \| english canyon creek, english canyon channel \| mission viejo \| 33°39′30′′n 117° \| 3.5 miles (5.6 km) \| mission viejo-left bank of aliso \| 33°37′42′′n 117° row 9 : source \| None \| cleveland national forest, portola \| 33°42′10′′n 117° \| None \| None \| None ] Execute this SQL based on the above table: select mouth order by source limit 1294	aliso creek beach, laguna beach, aliso canyon-right bank of aliso creek, mission viejo-right bank of aliso creek, mission viejo-left bank of aliso creek, head of aliso canyon-left bank of aliso creek, mission viejo-right bank of aliso creek, aliso viejo-left bank of aliso creek, aliso viejo- right bank of aliso creek
[ header: n° \| name \| position \| date of birth \| nationality row 1 : 1 \| marcus popp \| s \| 23 settembre 1981 \| germany row 2 : 2 \| stanislav simin \| c \| 4 ottobre 1986 \| serbia row 3 : 3 \| gerald hardy-dessources \| c \| 9 febbraio 1983 \| france row 4 : 4 \| soane falafala \| s \| 16 aprile 1993 \| france row 5 : 5 \| cyril guitte \| l \| 13 agosto 1992 \| france row 6 : 6 \| david konecny \| s/o \| 10 ottobre 1982 \| czech republic row 7 : 7 \| jean-francois exiga \| l \| 9 marzo 1982 \| france row 8 : 8 \| nuno pinheiro \| p \| 31 dicembre 1984 \| portugal row 9 : 10 \| guillaume di betta \| s \| 8 settembre 1994 \| france row 10 : 12 \| maxime dillies \| p \| 11 aprile 1984 \| france row 11 : 13 \| kamil baranek \| s \| 2 maggio 1983 \| czech republic row 12 : 14 \| renaud lachaise \| p \| 12 maggio 1991 \| france row 13 : 15 \| david smith \| c \| 15 maggio 1985 \| united states row 14 : 16 \| emmanuel ragon \| s \| 6 agosto 1987 \| france row 15 : 17 \| victor le guennec \| s \| 19 giugno 1994 \| france row 16 : 18 \| thibault szymkowi \| c \| 19 settembre 1991 \| france ] Execute this SQL based on the above table: select position where n° = 6	s/o
[ header: title \| year \| platforms \| developer \| publisher \| notes row 1 : american mcgee's grimm \| 2008 \| pc \| spicy horse \| gametap \| episodic mcgee takes on various row 2 : dexiq \| 2009 \| ipad, iphone, ipod \| spicy pony \| None \| puzzle game row 3 : american mcgee presents akan \| 2010 \| ipad \| spicy pony \| None \| little red riding hood in japan row 4 : american mcgee's cro \| 2010 \| ipad, iphone, ipod \| spicy pony \| None \| puzzle game row 5 : alice: madness returns \| 2011 \| playstation 3, xbox 360, p \| spicy horse \| electronic arts \| sequel to american mcgee's row 6 : bighead bash \| 2012 \| None \| spicy horse \| None \| side scrolling/battle multiplayer. ( row 7 : crazy fairies \| 2012 \| mobile, facebook \| spicy horse \| None \| currently in the closed beta stage. (unrelease row 8 : akaneiro: demon hunters \| 2013 \| browsers, tegra-powered tablets \| spicy horse \| spicy horse \| a japanese/mc ] Execute this SQL based on the above table: select publisher where year > 1000	gametap, electronic arts, spicy horse
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation group by nation order by count ( nation ) desc limit 1	venezuela (ven)
[ header: dance \| best dancer(s) \| best score \| worst dancer(s) \| worst score row 1 : cha cha \| argo ader \| 34 \| henrik normann piret \| 14 row 2 : waltz (international standard) \| maarja-liis ilus \| 36 \| arne niit \| 14 row 3 : rumba \| argo ader \| 40 \| arne niit \| 15 row 4 : quickstep \| argo ader maarja-l \| 40 \| henrik normann piret \| 16 row 5 : jive \| argo ader \| 32 \| henrik normann \| 24 row 6 : tango \| maarja-liis ilus \| 37 \| erika salumae \| 26 row 7 : paso doble \| lauri pedaja \| 36 \| evelyn sepp \| 28 row 8 : foxtrot \| argo ader evelyn \| 34 \| henrik normann \| 25 row 9 : samba \| maarja-liis ilus \| 37 \| henrik normann \| 26 row 10 : showdance \| argo adar maarja-l \| 40 \| None \| None ] Execute this SQL based on the above table: select worst dancer(s) where worst score > ( select worst score where worst dancer(s) = 'arne niit' ) order by worst score asc limit 1	arne niit
[ header: years \| building \| city \| height (ctbuh) \| floors row 1 : 1975-present \| first canadian place \| toronto \| 298.1 m (978 ft) \| 72 row 2 : 1972-1975 \| commerce court west \| toronto \| 239.0 m (784 ft \| 57 row 3 : 1967-1972 \| toronto-dominion centre \| toronto \| 222.8 m (731 ft) \| 56 row 4 : 1964-1967 \| tour de la bourse \| montreal \| 190.0 m (623 ft) \| 47 row 5 : 1962-1964 \| place ville-marie \| montreal \| 188.0 m (617 ft) \| 44 row 6 : 1962 \| tour cibc \| montreal \| 184.0 m (604 ft) \| 45 row 7 : 1931-1962 \| commerce court north \| toronto \| 145.0 m (476 ft) \| 34 ] Execute this SQL based on the above table: select distinct city where city = 'montreal' and city = 'montreal'	montreal
[ header: name \| built \| listed \| location \| county \| type row 1 : bahala creek bridge \| 1909 \| 1988-11-16 \| oma 31°42′17′′ \| lawrence \| pratt through truss row 2 : bayou pierre bridge \| ca. 1920 \| 2005-06-10 \| carpenter 32°0′10′′n \| copiah \| None row 3 : bayou pierre bridge \| ca. 1900, 1940 \| 2005-06-10 \| carpenter 32°0′10′′n \| copiah \| None row 4 : big black river railroad bridge \| 1917 \| 1988-11-16 \| bovina, edwards 32 \| hinds, warren \| open-spandrel arch row 5 : chunky river bridge \| 1911 \| 2004-03-22 \| chunky 32°19′16′′n \| newton \| None row 6 : columbus bridge \| 1925-1927 \| 1988-11-16 \| columbus 33°29′37′′n \| lowndes \| warren truss;swing row 7 : confederate avenue brick arch bridge \| 1935 \| 1988-11-16 \| vicksburg 32°19′44′′ \| warren \| brick arch row 8 : coon box fork bridge \| 1919 \| 1979-05-23 \| coon box 31°47′25′′n \| jefferson \| twin-tower swng. sus row 9 : enterprise bridge \| ca. 1925, ca. 1935 \| 1988-11-16 \| enterprise 32°10′33′′n 88 \| clarke \| warren polygonal pony truss row 10 : gatesville bridge \| 1908 \| 1988-11-16 \| gatesville, pearl 31°59′46′′ \| copiah, simpson \| pennsylvania through tru row 11 : homochitto river bridge \| 1909 \| 1988-11-16 \| hazelhurst 31°42′48′′n \| copiah \| pratt through truss row 12 : lamb-fish bridge \| 1905 \| 1982-05-17 \| charleston 34°1′20′′ \| tallahatchie \| vertical lift span row 13 : lucien bridge \| 1938 \| 2005-06-16 \| mccall creek 31°30′40 \| franklin \| None row 14 : mississippi river bridge \| 1928-1930 \| 1989-02-14 \| vicksburg 32°18′54′′ \| warren \| cantilevered truss span row 15 : shubuta bridge \| 1919 \| 1988-11-16 \| shubuta 31°51′25′′ \| clarke \| camelback through truss ] Execute this SQL based on the above table: select built where name = 'chunky river bridge'	1911
[ header: year \| competition \| location \| event \| final-rank \| final-score \| qualifying rank \| qualifying score row 1 : 2008 \| 2008 summer olympics \| beijing \| team \| 2 \| 186.525 \| 2 \| 246.8 row 2 : 2008 \| 2008 summer olympics \| beijing \| uneven bars \| dnq \| None \| 23 \| 14.8 row 3 : 2008 \| olympic trials \| philadelphia \| all around \| 4 \| 61.85 \| 4 \| 61.4 row 4 : 2008 \| olympic trials \| philadelphia \| balance beam \| 4 \| 15.55 \| 4 \| 15.8 row 5 : 2008 \| olympic trials \| philadelphia \| floor exercise \| 2 \| 15.5 \| 3 \| 15.65 row 6 : 2008 \| olympic trials \| philadelphia \| uneven bars \| 6 \| 15.2 \| 5 \| 15.3 row 7 : 2008 \| olympic trials \| philadelphia \| vault \| 4 \| 15.15 \| 3 \| 15.1 row 8 : 2008 \| u.s. championships \| boston \| all around \| 4 \| 61.25 \| 4 \| 60.75 row 9 : 2008 \| u.s. championships \| boston \| balance beam \| 5 \| 16 \| 5 \| 15.4 row 10 : 2008 \| u.s. championships \| boston \| floor exercise \| 10 \| 14.75 \| 4 \| 15.2 row 11 : 2008 \| u.s. championships \| boston \| uneven bars \| 6 \| 15.55 \| 6 \| 15.15 row 12 : 2008 \| american cup \| new york city \| all around \| 3 \| 63.075 \| 3 \| 63.075 ] Execute this SQL based on the above table: select location where location > ( select location where location = 'boston' ) order by location limit 1	new york city
[ header: no \| title \| directed by \| released row 1 : 1 \| "kloot's k \| hawley pratt \| 1973 row 2 : 2 \| "apache on the county seat" \| hawley pratt \| 1973 row 3 : 3 \| "the shoe must go on" \| gerry chiniquy \| 1973 row 4 : 4 \| "a self winding sidewinder" \| roy morita \| 1973 row 5 : 5 \| "pay your buffalo bill" \| gerry chiniquy \| 1973 row 6 : 6 \| "stirrups and hic \| gerry chiniquy \| 1973 row 7 : 7 \| "ten miles to the gallop" \| arthur leonardi \| 1973 row 8 : 8 \| "phony express" \| gerry chiniquy \| 1974 row 9 : 9 \| "giddy up woe" \| sid marcus \| 1974 row 10 : 10 \| "gold struck" \| roy morita \| 1974 row 11 : 11 \| "as the tumbleweeds turn" \| gerry chiniquy \| 1974 row 12 : 12 \| "the badge and the beautiful" \| bob balsar \| 1974 row 13 : 13 \| "big beef at o.k. cor \| bob balsar \| 1974 row 14 : 14 \| "by hoot or by crook \| bob balsar \| 1974 row 15 : 15 \| "strange on the range" \| durward bonaye \| 1974 row 16 : 16 \| "mesa trouble" \| sid marcus \| 1974 row 17 : 17 \| "saddle soap opera" \| gerry chiniquy \| 1974 ] Execute this SQL based on the above table: select count ( * ) where directed by = 'gerry chiniquy'	6
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select artist(s) where year = ( select sum ( year ) where artist(s) in ( 'jean-roch ft tara mcdonald' , 'jean-roch ft tara mcdonald' ) )	tara mcdonald, jean-roch ft timati, jean-roch ft tara mcdonald
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select player order by no. desc limit 1	wayne gretzky
[ header: station \| type \| latitude \| longitude \| el. (m) \| opened \| closed \| coordinates row 1 : calama, chile \| solar \| 22o28's \| 68o56'w \| 2250 \| 1918 \| 1920 \| 22°28′s 68°56′ row 2 : mount montezuma, chile \| solar \| 22o40's \| 68o56'w \| 2711 \| 1920 \| None \| 22°40′s 68°56′ row 3 : mount harquahala, arizon \| solar \| 33o48'n \| 113o20'w \| 1721 \| 1920 \| 1925 \| 33°48′n 113°20′ row 4 : table mountain, california \| solar \| 34o22'n \| 117o41'w \| 2286 \| 1925 \| 1962 \| 34°22′n 117°41′ row 5 : mount brukkaros, namibi \| solar \| 25o52's \| 17o48'e \| 1586 \| 1926 \| 1931 \| 25°52′s 17°48′e row 6 : mount saint catherine, egy \| solar \| 28o31'n \| 33o56'e \| 2591 \| 1934 \| 1937 \| 28°31′n 33°56′e row 7 : burro mountain, new mexico \| solar \| 32o40'n \| 108o33'w \| 2440 \| 1938 \| 1946 \| 32°40′n 108°33′ row 8 : organ pass, new mexico \| space track \| 32o25'n \| 253o27'e \| None \| None \| None \| 32°25′n 106°33′ row 9 : olifantsfontein, south africa \| space track \| 25o58's \| 28o15'e \| None \| None \| None \| 25°58′s 28°15′e row 10 : woomera, australia \| space track \| 31o06's \| 136o46'e \| None \| None \| None \| 31°06′s 136°46′ row 11 : curacao, netherlands west in \| space track \| 12o05'n \| 291o10'e \| None \| None \| None \| 12°05′n 68°50′ row 12 : jupiter, florida \| space track \| 27o01'n \| 279o53'e \| None \| None \| None \| 27°01′n 80°07′w row 13 : villa dolores, argentina \| space track \| 31o57'n \| 294o54'e \| None \| None \| None \| 31°57′n 65°06′e row 14 : mitaka, japan \| space track \| None \| None \| None \| None \| None \| None row 15 : nani tal, india \| space track \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( type ) where el. (m) != 0	7
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select place order by year desc limit 1	1st
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue order by venue limit 745	abensberg, balakovo, gniezno, gorzow wlkp, holsted, pardubice, rybnik, rye house
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 1420436 \| 73.52 \| 687210 \| 733226 row 2 : yiddish \| 317169 \| 16.41 \| 154603 \| 162566 row 3 : russian \| 87850 \| 4.54 \| 13551 \| 1586 row 4 : german \| 77160 \| 3.99 \| 37984 \| 39176 row 5 : ukrainian \| 15930 \| 0.82 \| 15623 \| 307 row 6 : romanian \| 2299 \| >0.01 \| 2293 \| 6 row 7 : latvian \| 1759 \| >0.01 \| 1738 \| 21 row 8 : estonian \| 1566 \| >0.01 \| 1555 \| 11 row 9 : tatar \| 1473 \| >0.01 \| 1437 \| 36 row 10 : belarusian \| 1343 \| >0.01 \| 1234 \| 109 row 11 : other \| 4824 \| 0.24 \| 3289 \| 1535 row 12 : persons that didn't name their native language \| 54 \| >0.01 \| 33 \| 21 row 13 : total \| 1931867 \| 100 \| 977948 \| 953919 ] Execute this SQL based on the above table: select language where language != 'total' and females = 1535	other
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select league - year where playoffs = 'quarterfinals' and league = 'usl first division'	-2005
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : 1959-09-26 \| at #16 georgia tech \| #6 \| grant field • atlanta, ga \| l 12-16 \| 43000 row 2 : 1959-10-03 \| #15 navy \| None \| cotton bowl • dallas, t \| w 20-7 \| 46000 row 3 : 1959-10-09 \| missouri \| #15 \| cotton bowl • dallas, t \| w 23-2 \| 33000 row 4 : 1959-10-17 \| at rice \| #16 \| rice stadium • houston, tx \| t 13-13 \| 65000 row 5 : 1959-10-24 \| texas tech \| None \| cotton bowl • dallas, t \| w 21-13 \| 30000 row 6 : 1959-10-31 \| #4 texas \| None \| cotton bowl • dallas, t \| l 0-21 \| 65000 row 7 : 1959-11-07 \| at texas a&m \| None \| kyle field • college station, t \| w 14-11 \| 19000 row 8 : 1959-11-14 \| #20 arkansas \| None \| cotton bowl • dallas, t \| l 14-17 \| 31000 row 9 : 1959-11-21 \| at baylor \| None \| floyd casey stadium • waco, \| w 30-14 \| 25000 row 10 : 1959-11-28 \| at #8 texas christi \| None \| amon g. carter stadium • for \| l 0-19 \| 40000 ] Execute this SQL based on the above table: select attendance where attendance in ( 25000 , 46000 ) and date = '1959-10-03' and site = 'cotton bowl • dallas, tx'	46000.0
[ header: kategori \| 1995 \| 2004 \| 2005 \| 2006 \| 2007 row 1 : best movie \| pencet sana pencet sini \| arisan \| janji joni \| berbagi suami \| nagabonar jadi 2 row 2 : best director \| arizal (pencet s \| nia dinata (aris \| garin nugroho (rindu kam \| riri riza (gie \| john de rantau (denias row 3 : most favourite movie \| catatan si emon \| eiffel i'm in love \| ungu violet \| heart \| None row 4 : most favourite actor \| onky alexander (catatan tant \| samuel rizal ( \| nicholas saputra (ja \| nicholas saputra (gie \| tora sudiro (nagabon row 5 : most favorite actress \| ayu azhari (cat \| nirina zubir(30 \| dian sastrowardoyo \| titi kamal (mendadak d \| dinna olivia (mengejar row 6 : most favourite supporting actor \| didi petet (catatan si \| surya saputra (arisan \| fauzi baadila ( \| tio pakusadew \| winky wiryawan (badai row 7 : most favourite supporting actress \| cornelia agatha (lupus \| titi kamal (eiffel i \| mariana renata (janji \| ria irawan (ber \| wulan guritno ( row 8 : best crying scene \| nita tilana ( \| winky wiryawan (mengejar \| putri mulia (rindu \| sita nursanti (gie) \| None row 9 : most favourite heart melting moment \| onky alexander and paramitha \| vino bastian and maria agnes \| None \| nirina zubir and \| None row 10 : best song in the movie \| kisah cinta \| mengejar matahari - ari \| tentang dia - melly goeslaw \| my heart - irwansyah \| pulang - float[disambigu row 11 : most favourite rising star \| krisdayanti (lupus \| None \| laudya chintya bell \| jonathan mulia (gie \| albert fakdawer (d row 12 : lifetime achievement \| christine hakim \| None \| benyamin sueb \| warkop dki \| deddy mizwar row 13 : best scary scene \| hantu tinta \| None \| None \| None \| kuntilanak row 14 : best running scene \| None \| None \| None \| None \| maaf, saya menghamili ] Execute this SQL based on the above table: select count ( kategori ) where id < ( select id where kategori = 'most favourite movie' )	2
[ header: department \| total deputies \| uninominal deputies \| plurinominal deputies \| special indigenous or campesino deputies \| senators row 1 : la paz \| 29 \| 14 \| 14 \| 1 \| 4 row 2 : santa cruz \| 28 \| 14 \| 13 \| 1 \| 4 row 3 : cochabamba \| 19 \| 9 \| 9 \| 1 \| 4 row 4 : potosi \| 13 \| 7 \| 6 \| 0 \| 4 row 5 : chuquisaca \| 10 \| 5 \| 5 \| 0 \| 4 row 6 : oruro \| 9 \| 4 \| 4 \| 1 \| 4 row 7 : tarija \| 9 \| 4 \| 4 \| 1 \| 4 row 8 : beni \| 8 \| 4 \| 3 \| 1 \| 4 row 9 : pando \| 5 \| 2 \| 2 \| 1 \| 4 row 10 : total \| 130 \| 63 \| 60 \| 7 \| 36 ] Execute this SQL based on the above table: select count ( * ) where senators = 4	9
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2002 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 2 : 2003 \| 4 \| usl pdl \| 1st, mid atlantic \| conference semifinals \| did not qualify row 3 : 2004 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 4 : 2005 \| 4 \| usl pdl \| 1st, mid atlantic \| national semifinals \| 2nd round row 5 : 2006 \| 4 \| usl pdl \| 5th, mid atlantic \| did not qualify \| did not qualify row 6 : 2007 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify row 7 : 2008 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select league order by division desc limit 1	usl pdl
[ header: \| \| \| row 1 : 1962 \| the trial/le proces \| hilda \| notes row 2 : 1949 \| in the good old summertime \| baby \| uncredited row 3 : 1954 \| the long, long trailer \| wedding guest \| scenes deleted row 4 : 1967 \| charlie bubbles \| eliza \| None row 5 : 1969 \| the sterile cuckoo \| 'pookie' (mary ann \| david di donatello for best foreign actress row 6 : 1970 \| tell me that you love me, juni \| junie moon \| None row 7 : 1972 \| cabaret \| sally bowles \| academy award for best actress bafta award row 8 : 1974 \| just one more time \| herself \| uncredited (short subject) row 9 : 1974 \| that's entertainment! \| herself (narrator) \| None row 10 : 1974 \| journey back to oz \| dorothy \| voice (recorded in 1963, released row 11 : 1975 \| lucky lady \| claire \| nominated - golden globe award for best row 12 : 1976 \| silent movie \| herself \| None row 13 : 1976 \| a matter of time \| nina \| None row 14 : 1977 \| new york, new york \| francine evans \| nominated - golden globe award for best row 15 : 1981 \| arthur \| linda marolla \| nominated - golden globe award for best row 16 : 1983 \| the king of comedy \| herself \| scenes deleted row 17 : 1984 \| the muppets take manhattan \| herself \| None row 18 : 1985 \| that's dancing! \| herself - host \| None row 19 : 1987 \| rent-a-cop \| della roberts \| golden raspberry award for worst actress row 20 : 1988 \| arthur 2: on the rocks \| linda marolla bach \| golden raspberry award for worst actress row 21 : 1991 \| stepping out \| mavis turner \| None row 22 : 1994 \| a century of cinema \| herself \| documentary row 23 : 1995 \| unzipped \| herself - uncredited \| documentary row 24 : 2006 \| the oh in ohio \| alyssa donahue \| None row 25 : 2010 \| broadway: beyond the golden age \| herself \| documentary row 26 : 2010 \| sex and the city 2 \| wedding minister/herself \| cameo appearance row 27 : 2011 \| lady gaga presents the monster ball tour: at \| herself \| guest appearance row 28 : 2013 \| smash \| herself \| guest appearance ] Execute this SQL based on the above table: select where in ( 1976 , 1972 ) order by desc limit 1	1976
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select count ( * ) where rider = '12'	0
[ header: sum \| mongolian \| population (2005) \| population (2008) \| population (2009) \| area km2 \| density /km2 \| sum centre population row 1 : battsengel \| батцэнгэл \| 3818 \| 3855 \| 3846 \| 3500 \| 1.1 \| 1096 row 2 : bulgan \| булган \| 2285 \| 2361 \| 2434 \| 3100 \| 0.79 \| 961 row 3 : chuluut \| чулуут \| 3943 \| 3749 \| 3744 \| 3900 \| 0.96 \| 935 row 4 : erdenebulgan \| эрдэнэбулг \| 17790 \| 18022 \| 17770 \| 536 \| 33.15 \| 17770 row 5 : erdenemandal \| эрдэнэманда \| 6099 \| 5843 \| 5933 \| 3400 \| 1.74 \| 1091 row 6 : ikh-tamir \| их тамир \| 5714 \| 5154 \| 5247 \| 4800 \| 1.09 \| 1050 row 7 : jargalant \| жаргалант \| 4089 \| 4114 \| 4111 \| 3832 \| 1.07 \| 1035 row 8 : khairkhan \| хаирхан \| 3756 \| 3558 \| 3656 \| 2500 \| 1.46 \| 739 row 9 : khangai \| хангаи \| 3054 \| 2805 \| 2926 \| 4400 \| 0.66 \| 795 row 10 : khashaat \| хашаат \| 3594 \| 3305 \| 3344 \| 2600 \| 1.29 \| 802 row 11 : khotont \| хотонт \| 4763 \| 4809 \| 4440 \| 2200 \| 2.02 \| 774 row 12 : ogii nuur \| өгии нуур \| 3015 \| 3041 \| 3086 \| None \| None \| 622 row 13 : olziit \| өлзиит \| 3154 \| 3037 \| 3102 \| 1700 \| 1.82 \| 829 row 14 : ondor-ulaan \| өндөр-улаан \| 5873 \| 5729 \| 5798 \| 4000 \| 1.45 \| 1097 row 15 : tariat \| тариат \| 5082 \| 5022 \| 5086 \| 3800 \| 1.34 \| 644 row 16 : tuvshruule \| түвшрүүлэх \| 3489 \| 3410 \| 3438 \| 1200 \| 2.86 \| 1869 row 17 : tsakhir \| цахир \| 2058 \| 2126 \| 2143 \| 3398 \| 0.63 \| 438 row 18 : tsenkher \| цэнхэр \| 5480 \| 5387 \| 5414 \| 3200 \| 1.69 \| 997 row 19 : tsetserleg \| цэцэрлэг \| 2058 \| 3955 \| 3813 \| 2500 \| 1.53 \| 848 ] Execute this SQL based on the above table: select count ( * ) where mongolian <= 2000	0
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select athlete(s) where id = ( select id where athlete(s) = 'steve holcomb, justin olsen, steve mesler, & curtis tomasevicz (usa)' ) - 1	andre lange, kevin kuske, alexander rodiger, & martin putze (ger)
[ 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 count ( status ) where age = 30	1
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select winning driver where id = ( select id where winning driver = 'philip cloostermans' ) + 1	philip cloostermans
[ header: rank \| bib \| country \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| total \| behind row 1 : None \| 1 \| canada (can-1) \| kaillie humphries heat \| 57.39 \| 57.73 \| 57.57 \| 57.92 \| 3:50.61 \| None row 2 : None \| 2 \| united states (usa-1) \| elana meyers laury \| 57.26 \| 57.63 \| 57.69 \| 58.13 \| 3:50.71 \| 0.1 row 3 : None \| 3 \| united states (usa-2) \| jamie greubel aja evan \| 57.45 \| 58 \| 58 \| 58.16 \| 3:51.61 \| 1 row 4 : 4 \| 9 \| netherlands (ned-1) \| esme kamphuis jud \| 57.94 \| 58.1 \| 58.2 \| 58.03 \| 3:52.27 \| 1.66 row 5 : 5 \| 4 \| germany (ger-1) \| sandra kiriasis \| 57.95 \| 58.08 \| 58.06 \| 58.2 \| 3:52.29 \| 1.68 row 6 : 7 \| 5 \| germany (ger-2) \| cathleen martini christ \| 57.99 \| 58.42 \| 58.17 \| 58.13 \| 3:52.71 \| 2.1 row 7 : 8 \| 8 \| switzerland (sui- \| fabienne meyer tanja may \| 58.18 \| 58.34 \| 58.29 \| 58.39 \| 3:53.20 \| 2.59 row 8 : 9 \| 11 \| russia (rus-1) \| olga stulneva \| 58.03 \| 58.24 \| 58.45 \| 58.74 \| 3:53.46 \| 2.85 row 9 : 10 \| 6 \| germany (ger-3) \| anja schneiderheinze stephan \| 58.17 \| 58.3 \| 58.53 \| 58.74 \| 3:53.74 \| 3.13 row 10 : 11 \| 7 \| united states (usa-3) \| jazmine fenlator lolo \| 58.27 \| 58.46 \| 58.5 \| 58.74 \| 3:53.97 \| 3.36 row 11 : 12 \| 12 \| great britain (gbr- \| paula walker rebekah \| 58.36 \| 58.4 \| 58.88 \| 58.6 \| 3:54.24 \| 3.63 row 12 : 13 \| 13 \| canada (can-2) \| jennifer ciochetti \| 58.43 \| 58.63 \| 58.72 \| 58.71 \| 3:54.49 \| 3.88 row 13 : 14 \| 14 \| australia (aus-1) \| astrid radjenovic jan \| 58.62 \| 58.5 \| 59.06 \| 58.37 \| 3:54.55 \| 3.94 row 14 : 15 \| 15 \| austria (aut-1) \| christina hengster viol \| 58.59 \| 58.56 \| 58.73 \| 58.91 \| 3:54.79 \| 4.18 row 15 : 16 \| 17 \| russia (rus-2) \| nadezhda serge \| 58.8 \| 58.69 \| 59.27 \| 59.1 \| 3:55.86 \| 5.25 row 16 : 17 \| 16 \| romania (rou-1) \| maria constantin andreea grecu \| 59.04 \| 59.08 \| 59.38 \| 59.09 \| 3:56.59 \| 5.98 ] Execute this SQL based on the above table: select country where id = ( select id where country = 'austria (aut-1)' ) + 1	russia (rus-2)
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select venue order by year desc limit 1	guangzhou, china
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select sum ( total length ) where year completed > 352	6140.1
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select album where us hot 100 < 'None'	rotting pinata
[ header: tournament \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| w-l row 1 : australian open \| a \| a \| a \| a \| a \| a \| q3 \| a \| q3 \| 4r \| 2r \| 1r \| 1r \| 1r \| 3-5 row 2 : french open \| a \| a \| a \| a \| a \| a \| q1 \| a \| 1r \| 1r \| 3r \| 3r \| 2r \| None \| 5-5 row 3 : wimbledon \| a \| a \| a \| a \| a \| a \| q1 \| q1 \| q1 \| 2r \| 4r \| 2r \| qf \| None \| 9-4 row 4 : us open \| a \| a \| a \| a \| a \| 3r \| q3 \| a \| q2 \| 1r \| a \| 1r \| 1r \| None \| 2-4 row 5 : win-loss \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 2-1 \| 0-0 \| 0-0 \| 0-1 \| 3-4 \| 6-3 \| 3-4 \| 5-4 \| 0-1 \| 19-18 row 6 : titles-finals \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-1 \| 0-1 \| 0-0 \| 0-0 \| 0-0 \| None \| 0-2 row 7 : year end ranking \| 427 \| 440 \| 371 \| 219 \| 142 \| 125 \| 222 \| 209 \| 101 \| 70 \| 57 \| 74 \| 72 \| None \| None ] Execute this SQL based on the above table: select count ( 2004 )	7
[ header: affiliation \| house members 2000 election results \| house members at dissolution \| senate members on election day 2000 \| senate members at dissolution row 1 : liberal party of canada \| 172 \| 168 \| 55 \| 65 row 2 : canadian alliance \| 66 \| None \| 1 \| None row 3 : bloc quebecois \| 38 \| 33 \| 0 \| 0 row 4 : new democratic party \| 13 \| 14 \| 0 \| 0 row 5 : progressive conservative \| 12 \| None \| 35 \| None row 6 : progressive conservative (senate caucus \| None \| None \| None \| 3 row 7 : conservative party of canada \| None \| 72 \| None \| 24 row 8 : independent \| 0 \| 10 \| 5 \| 5 row 9 : total members \| 301 \| 297 \| 96 \| 97 row 10 : vacant \| 0 \| 4 \| 9 \| 8 row 11 : total seats \| 301 \| 301 \| 105 \| 105 ] Execute this SQL based on the above table: select affiliation where id = ( select id where affiliation = 'progressive conservative (senate caucus)' ) + 1	conservative party of canada
[ header: \| country \| builder \| location \| ship \| class \| notes row 1 : 23 january \| united states \| new york shipbuilding corporation \| camden, new jersey \| salt lake city \| pensacola-class cruiser \| None row 2 : 12 april \| france \| chantiers de la gironde \| gironde \| commandant teste \| seaplane carrier and tender \| None row 3 : 25 april \| united states \| new york navy yard \| brooklyn, new york \| pensacola \| pensacola-class cruiser \| None row 4 : 22 may \| japan \| uraga dock \| uraga \| itsukushima \| minelayer \| None row 5 : 29 june \| germany \| deschimag werk a.g \| bremen \| lichtenfels \| heavy lift ship \| for ddg hansa row 6 : 3 july \| united states \| new york shipbuilding corporation \| camden, new jersey \| chester \| northampton-class cruiser \| None row 7 : 6 august \| united kingdom \| harland and wolff \| belfast, northern ireland \| britannic \| ocean liner \| for white star line row 8 : 5 september \| united states \| fore river shipyard \| quincy, massachusetts \| northampton \| northampton-class cruiser \| None row 9 : 7 september \| united states \| newport news shipbuilding & dry dock company \| newport news, virginia \| houston \| northampton-class cruiser \| None row 10 : date unknown \| norway \| trondhjems mekanisk \| trondheim \| barøy \| passenger/cargo ship \| None row 11 : date unknown \| germany \| deutsche werft \| hamburg \| ceuta \| cargo ship \| for oldenburg-portugiesische damp row 12 : date unknown \| germany \| ag weser \| bremen \| hercules \| cargo ship \| for dampfschiffahrts-gesellschaft row 13 : date unknown \| united kingdom \| smiths dock co ltd \| middlesbrough \| vikingen i \| whaler \| None row 14 : date unknown \| united kingdom \| smiths dock co ltd \| middlesbrough \| vikingen ii \| whaler \| None row 15 : date unknown \| united kingdom \| smiths dock co ltd \| middlesbrough \| vikingen iii \| whaler \| None row 16 : date unknown \| sweden \| None \| bjorkenas, swe \| yngve \| schooner \| None ] Execute this SQL based on the above table: select notes where class = 'heavy lift ship'	for ddg hansa
[ header: year \| title \| role \| notes row 1 : 1980 \| hawaii five-o \| neal forrester \| episode: "the flight of the jewels" row 2 : 1982 \| american playhouse \| jed jenkins \| episode: "the fifth of july" row 3 : 1991 \| saturday night live \| host \| episode: jeff daniels/ row 4 : 1993 \| frasier \| doug \| episode: "here's looking at you row 5 : 1995 \| saturday night live \| host \| episode: jeff daniels/ row 6 : 2010 \| planet sheen \| glonb \| episode: "what's up chock?" row 7 : 2012-present \| the newsroom \| will mcavoy \| 19 episodes primetime emmy award for ] Execute this SQL based on the above table: select count ( * ) where title = 'the newsroom'	1
[ header: yacht \| nation \| owner \| skipper \| launch year row 1 : afr midnight rambler \| (nsw) \| ed psaltis \| ed psaltis \| 2002 row 2 : another challenge \| (vic) \| chris lewin \| chris lewin \| 2000 row 3 : another fiasco \| (qld) \| damian suckling \| damian suckling \| 1994 row 4 : balance \| (nsw) \| paul clitheroe \| paul clitheroe \| 2006 row 5 : bear necessity \| (nsw) \| andrew & pauline d \| andrew dally \| 2007 row 6 : berrimilla \| (nsw) \| alex whitworth \| alex whitworth \| 1977 row 7 : george gregan foundation \| (nsw) \| peter goldsworthy \| david witt \| 2001 row 8 : georgia \| (vic) \| john williams/graeme \| john williams \| 2000 row 9 : getaway sailing 2 \| (vic) \| peter tarimo \| jay pettifer \| 2000 row 10 : global yacht racing - kioni \| (nsw) \| kioni sailing services p/l \| richard falk \| 2001 row 11 : helsal iv \| (tas) \| tony fisher \| rob fisher \| 1986 row 12 : huckleberry \| (wa) \| steve humphries \| steve humphries \| 1982 row 13 : hugo boss ii \| None \| alex thomson racing \| ross daniel \| 2001 row 14 : ichi ban \| (nsw) \| matt allen \| matt allen \| 2005 row 15 : imarex \| (nsw) \| marc & louis ryckmans \| ola strand andersen \| 2000 row 16 : jazz \| None \| chris bull \| chris bull \| 2003 row 17 : living doll \| (vic) \| michael hiatt \| michael hiatt \| 2005 row 18 : mr kite \| (nsw) \| andrew buckland/andre \| andrew buckland/andre \| 2005 row 19 : noonmark vi \| None \| sir geoffrey mulcahy \| mike gilburt \| 1998 row 20 : quantum racing \| (nsw) \| ray roberts \| ray roberts \| 2007 row 21 : quetzalcoatl \| (nsw) \| bruce/hampshire/lee \| antony sweetapple \| 2001 row 22 : ragamuffin \| (nsw) \| syd fischer \| syd fischer \| 2004 row 23 : rosebud \| None \| roger sturgeon \| roger sturgeon \| 2007 row 24 : scarlet runner \| (vic) \| robert date \| robert date \| 2001 row 25 : secret men's business #1 \| (nsw) \| smb syndicate \| ross trembath/r cur \| 1996 row 26 : sextant \| (nsw) \| denis doyle \| denis doyle \| 1999 row 27 : shogun \| (vic) \| rob hanna \| rob hanna \| 2007 row 28 : toyota aurion \| (nsw) \| andrew short \| andrew short \| 1993 row 29 : wild oats xi \| (nsw) \| bob oatley \| mark richards \| 2005 row 30 : wot's next \| (nsw) \| graeme wood \| bill sykes \| 2005 ] Execute this SQL based on the above table: select owner where owner in ( 'andrew buckland/andrew hunn' , 'syd fischer' ) order by launch year desc limit 1	andrew buckland/andrew hunn
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation order by id desc limit 1	venezuela (ven)
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 24.0 (75.2) \| 24.0 (75.2) \| 27.2 (81) \| 32.6 (90.7) \| 39.1 (102.4) \| 41.4 (106.5) \| 43.3 (109.9) \| 44.8 (112.6) \| 39.0 (102.2) \| 35.2 (95.4) \| 26.8 (80.2) \| 23.0 (73.4) \| 44.8 (112.6) row 2 : average high °c (°f) \| 12.6 (54.7) \| 12.9 (55.2) \| 15.0 (59) \| 18.0 (64.4) \| 22.8 (73) \| 26.8 (80.2) \| 29.2 (84.6) \| 29.2 (84.6) \| 25.9 (78.6) \| 21.5 (70.7) \| 16.8 (62.2) \| 13.9 (57) \| 20.38 (68.68) row 3 : daily mean °c (°f) \| 8.8 (47.8) \| 8.9 (48) \| 10.7 (51.3) \| 13.3 (55.9) \| 17.8 (64) \| 21.8 (71.2) \| 24.3 (75.7) \| 24.3 (75.7) \| 21.1 (70) \| 17.1 (62.8) \| 12.7 (54.9) \| 10.1 (50.2) \| 15.91 (60.62) row 4 : average low °c (°f) \| 4.9 (40.8) \| 4.8 (40.6) \| 6.3 (43.3) \| 8.6 (47.5) \| 12.9 (55.2) \| 16.7 (62.1) \| 19.3 (66.7) \| 19.4 (66.9) \| 16.3 (61.3) \| 12.6 (54.7) \| 8.6 (47.5) \| 6.2 (43.2) \| 11.38 (52.48) row 5 : record low °c (°f) \| -5.9 (21.4) \| -3 (27) \| -2.4 (27.7) \| 1.1 (34) \| 5.3 (41.5) \| 7.8 (46) \| 12.8 (55) \| 12.8 (55) \| 8.4 (47.1) \| 1.0 (33.8) \| 0.0 (32) \| -1.6 (29.1) \| -5.9 (21.4) row 6 : precipitation mm (inches) \| 53.7 (2.114) \| 64.2 (2.528) \| 42.0 (1.654) \| 40.5 (1.594) \| 34.9 (1.374) \| 23.3 (0.917) \| 25.4 (1) \| 30.4 (1.197) \| 59.7 (2.35) \| 61.5 (2.421) \| 72.7 (2.862) \| 54.3 (2.138) \| 562.6 (22.149) row 7 : avg. precipitation days (≥ \| 6.7 \| 7.7 \| 6.8 \| 6.2 \| 5.2 \| 3.7 \| 2.6 \| 3.5 \| 5.0 \| 6.3 \| 7.7 \| 7.1 \| 68.5 row 8 : % humidity \| 77 \| 74 \| 72 \| 68 \| 68 \| 65 \| 64 \| 65 \| 68 \| 72 \| 76 \| 78 \| 70.6 ] Execute this SQL based on the above table: select count ( oct )	8
[ 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 town where town = 'bayerischzell-osterhofen' order by height limit 1049	bayerischzell-osterhofen
[ header: season \| competition \| round \| club \| home \| away \| aggregate row 1 : 2010-11 \| uefa europa league \| q3 \| motherwell \| 1-1 \| 0-3 \| 1-4 row 2 : 2011-12 \| uefa europa league \| q1 \| neath \| 4-1 \| 2-0 \| 6-1 row 3 : 2011-12 \| uefa europa league \| q2 \| ferencvaros \| 3-1(aet) \| 1-2 \| 4-3 row 4 : 2011-12 \| uefa europa league \| q3 \| elfsborg \| 4-0 \| 1-1 \| 5-1 row 5 : 2011-12 \| uefa europa league \| play-off \| az \| 2-1 \| 0-6 \| 2-7 row 6 : 2012-13 \| uefa europa league \| q2 \| tirana \| 5-0 \| 1-1 \| 6-1 row 7 : 2012-13 \| uefa europa league \| q3 \| apoel \| 0-1 \| 1-2 \| 1-3 ] Execute this SQL based on the above table: select away where id = 1	0-3
[ 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 date order by attendance desc limit 1	21 october 1978
[ header: name \| state \| status \| title \| appointment \| credentials presented \| termination of mission \| notes row 1 : henry f. grady \| california \| non-career appointee \| ambassador extraordinary and plenipotentiary \| apr 10, 1947 \| jul 1, 1947 \| left post, jun 22, 1948 \| accredited also to nepal; resident at row 2 : chester bowles \| connecticut \| non-career appointee \| ambassador extraordinary and plenipotentiary \| oct 10, 1951 \| nov 1, 1951 \| left post, mar 23, 1953 \| also accredited to nepal; resident at row 3 : george v. allen \| north carolina \| foreign service officer \| ambassador extraordinary and plenipotentiary \| mar 11, 1953 \| may 4, 1953 \| left post, nov 30, 1954 \| also accredited to nepal; resident at row 4 : john sherman cooper \| kentucky \| non-career appointee \| ambassador extraordinary and plenipotentiary \| feb 4, 1955 \| apr 9, 1955 \| left post, apr 23, 1956 \| also accredited to nepal; resident at row 5 : john kenneth galbraith \| massachusetts \| non-career appointee \| ambassador extraordinary and plenipotentiary \| mar 29, 1961 \| apr 18, 1961 \| left post, jul 12, 1963 \| None row 6 : chester bowles \| connecticut \| non-career appointee \| ambassador extraordinary and plenipotentiary \| may 3, 1963 \| jul 19, 1963 \| left post, apr 21, 1969 \| None row 7 : kenneth b. keating \| new york \| non-career appointee \| ambassador extraordinary and plenipotentiary \| may 1, 1969 \| jul 2, 1969 \| left post, jul 26, 1972 \| None row 8 : daniel p. moy \| new york \| non-career appointee \| ambassador extraordinary and plenipotentiary \| feb 8, 1973 \| feb 28, 1973 \| left post, jan 7, 1975 \| None row 9 : robert f. goheen \| new jersey \| non-career appointee \| ambassador extraordinary and plenipotentiary \| apr 26, 1977 \| may 26, 1977 \| left post, dec 10, 1980 \| None row 10 : harry g. barnes, \| maryland \| foreign service officer \| ambassador extraordinary and plenipotentiary \| oct 1, 1981 \| nov 17, 1981 \| left post, jun 27, 1985 \| None row 11 : john gunther dean \| new york \| foreign service officer \| ambassador extraordinary and plenipotentiary \| aug 2, 1985 \| sep 6, 1985 \| left post nov 7, 1988 \| None row 12 : john r. hubbard \| california \| non-career appointee \| ambassador extraordinary and plenipotentiary \| nov 22, 1988 \| dec 27, 1988 \| left post nov 15, 1989 \| commissioned during a recess of the row 13 : william clark, jr \| district of columbia \| foreign service officer \| ambassador extraordinary and plenipotentiary \| oct 10, 1989 \| dec 22, 1989 \| left post, jul 2, 1992 \| None row 14 : thomas r. pickering \| new jersey \| foreign service officer \| ambassador extraordinary and plenipotentiary \| apr 6, 1992 \| aug 14, 1992 \| left post, mar 23, 1993 \| kenneth brill served as charge row 15 : frank g. wisner \| district of columbia \| foreign service officer \| ambassador extraordinary and plenipotentiary \| jun 9, 1994 \| aug 2, 1994 \| left post, july 12, 1997 \| None ] Execute this SQL based on the above table: select count ( status )	15
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : england \| 2-3 \| france \| 1-1 \| 1-2 row 2 : czech republic \| 0-3 \| germany \| 0-2 \| 0-1 row 3 : hungary \| 1-2 \| italy \| 1-1 \| 0-1 row 4 : serbia and montenegro \| 5-2 \| croatia \| 3-1 \| 2-1 row 5 : ukraine \| 5-4 \| belgium \| 2-3 \| 3-1 row 6 : russia \| 1-4 \| denmark \| 0-1 \| 1-3 row 7 : switzerland \| 2-3 \| portugal \| 1-1 \| 1-2 row 8 : slovenia \| 0-2 \| netherlands \| 0-0 \| 0-2 ] Execute this SQL based on the above table: select count ( team 2 ) where 2nd leg = 1585	0
[ header: # \| season \| competition \| date \| round \| opponent \| h / a \| result \| scorer (s) row 1 : 35 \| 2011 \| afc champions league \| 2011-03-02 \| group stage \| al-ain \| a \| 1-0 \| s : dejan damjanovic row 2 : 36 \| 2011 \| afc champions league \| 2011-03-15 \| group stage \| hangzhou greentown \| h \| 3-0 \| s : dejan damjanovic, row 3 : 37 \| 2011 \| afc champions league \| 2011-04-06 \| group stage \| nagoya grampus \| a \| 1-1 \| s : choi hy row 4 : 39 \| 2011 \| afc champions league \| 2011-05-04 \| group stage \| al-ain \| h \| 3-0 \| s : dejan damjanovic (2) row 5 : 41 \| 2011 \| afc champions league \| 2011-05-25 \| round of 16 \| kashima antlers \| h \| 3-0 \| s : bang seung-h row 6 : 42 \| 2011 \| afc champions league \| 2011-09-14 \| quarter-finals 1st leg \| al-ittihad \| a \| 1-3 \| s : choi ta row 7 : 43 \| 2011 \| afc champions league \| 2011-09-27 \| quarter-finals 2nd leg \| al-ittihad \| h \| 1-0 \| s : mauricio molina row 8 : 44 \| 2013 \| afc champions league \| 2013-02-26 \| group stage \| jiangsu sainty \| h \| 5-1 \| s : dejan damjanovic (2) row 9 : 45 \| 2013 \| afc champions league \| 2013-03-12 \| group stage \| buriram united \| a \| 0-0 \| None row 10 : 46 \| 2013 \| afc champions league \| 2013-04-02 \| group stage \| vegalta sendai \| h \| 2-1 \| s : sergio escudero row 11 : 48 \| 2013 \| afc champions league \| 2013-04-24 \| group stage \| jiangsu sainty \| a \| 2-0 \| s : koh myong row 12 : 49 \| 2013 \| afc champions league \| 2013-05-01 \| group stage \| buriram united \| h \| 2-2 \| s : jung seung-y row 13 : 50 \| 2013 \| afc champions league \| 2013-05-14 \| round of 16 1st leg \| beijing guoan \| a \| 0-0 \| None row 14 : 53 \| 2013 \| afc champions league \| 2013-09-18 \| quarter-finals 2nd leg \| al-ahli \| h \| 1-0 \| s : dejan damjanovic row 15 : 55 \| 2013 \| afc champions league \| 2013-10-02 \| semi-finals 2nd leg \| esteghlal \| a \| 2-2 \| s : ha dae-sung ] Execute this SQL based on the above table: select scorer (s) group by scorer (s) order by count ( scorer (s) ) desc limit 1	s : dejan damjanovic
[ header: route number \| terminals \| terminals \| via \| operator \| notes row 1 : 310 310a 311 \| waltham cross bus station \| hertford bus station \| cheshunt, broxbourne, ware \| arriva shires & esse \| mon-sat (310), mon-f row 2 : 323 \| broxbourne station \| essex road industrial estate \| hoddesdon \| sm coaches \| mon-fri peak hours. hert row 3 : 392 \| harlow town station \| rye park old highway \| nazeing, broxbourne \| network harlow \| mon-sat. essex c row 4 : 641 \| broxbourne station \| hatfield business park \| hertford, university of hertfordshire \| uno \| mon-fri university term time only row 5 : c3/c3a \| waltham cross \| harlow bus station \| cheshunt, broxbourne \| trustybus \| mon-fri. 2 buses per hour row 6 : c4 \| waltham cross bus station \| hertford bus station \| cheshunt, ware \| trustybus \| sundays ] Execute this SQL based on the above table: select notes where operator > ( select operator where notes = 'mon-fri peak hours. herts cc contract. times' ) and notes > 1 order by operator asc limit 1	mon-fri. 2 buses per hour operate to harlow. sat 1 bus per hour to harlow via hunsdon
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select position where year > ( select year where position = 'medical ethicist and educator' )	professor emeritus of history, notre dame, actor, former chairman of national endowment for the arts, social advocates
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select count ( area acres ) where references - name > 153	0
[ header: event \| date \| area \| tornadoes \| casualties \| notes row 1 : hurricane carla \| september 1961 \| southern u.s \| 8 \| None \| produced several strong tornadoes, including an row 2 : 1964 wichita falls tornado \| april 3, 1964 \| wichita falls, texa \| None \| 7 dead, 100+ injured \| was rated f5. first tornado ever captured row 3 : february 1965 south florida tornado outbreak \| february 23, 1965 \| southern florida \| 4 \| 0 fatalities, 8 injuries \| produced an unusually strong tornado in south florid row 4 : early-may 1965 tornado outbreak sequence \| may 6-8, 1965 \| minnesota, front range, great \| 50 \| 17 fatalities \| included the 1965 twin cities tornado outbreak, in which row 5 : late-may 1965 tornado outbreak \| may 25-26, 1965 \| great plains \| 51 \| 0 fatalities \| produced multiple strong tornadoes in the great plain row 6 : june 1966 tornado outbreak sequence \| june 8-9, 1966 \| kansas - illin \| 57 \| 18 fatalities \| outbreak sequence produced a series of tornadoes row 7 : 1967 st. louis tornado outbreak \| january 24, 1967 \| midwest \| 32 \| 6 fatalities \| one of the most intense january outbreak row 8 : 1967 oak lawn tornado outbreak \| april 21, 1967 \| midwest \| 45 \| 58 fatalities \| one of the most intense outbreaks to hit the row 9 : 1967 southern minnesota tornado outbreak \| april 30, 1967 \| minnesota \| 9 \| 13 fatalities \| only one tornado below f2 strength in min row 10 : 1968 wheelersburg, ohio \| april 23, 1968 \| ohio valley \| 13 \| 14 fatalities \| outbreak produced several violent and killer tornadoes across ] Execute this SQL based on the above table: select event group by event order by count ( * ) desc limit 1	late-may 1965 tornado outbreak
[ 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 count ( secretary of state )	30
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 1 \| 2:30 pm \| nevada \| #19 \| memorial stadium • lincoln, \| abc \| w 52-10 \| 84078 row 2 : september 8 \| 11:00 am \| at wake forest \| #17 \| bb&t field • winston- \| espn \| w 20-17 \| 32483 row 3 : september 15 \| 7:00 pm \| #1 usc \| #14 \| memorial stadium • lincoln, \| abc \| l 31-49 \| 84959 row 4 : september 22 \| 11:30 am \| ball state \| #22 \| memorial stadium • lincoln, \| fsn ppv \| w 41-40 \| 84294 row 5 : september 29 \| 1:05 pm \| iowa state \| #22 \| memorial stadium • lincoln, \| None \| w 35-17 \| 84703 row 6 : october 6 \| 8:15 pm \| at #17 missouri \| #23 \| faurot field • columbia \| espn \| l 6-41 \| 70049 row 7 : october 13 \| 11:30 am \| oklahoma state \| None \| memorial stadium • lincoln, \| ppv \| l 14-45 \| 84334 row 8 : october 20 \| 1:05 pm \| texas a&m \| None \| memorial stadium • lincoln, \| None \| l 14-36 \| 84473 row 9 : october 27 \| 2:30 pm \| at #16 texas \| None \| darrell k royal-texas memorial \| abc \| l 25-28 \| 85968 row 10 : november 3 \| 11:30 am \| at #8 kansas \| None \| memorial stadium • lawrence, ks \| fsn \| l 39-76 \| 51910 row 11 : november 10 \| 11:30 am \| kansas state \| None \| memorial stadium • lincoln, \| versus \| w 73-31 \| 84665 row 12 : november 23 \| 11:00 am \| at colorado \| None \| folsom field • boulder, co (rival \| abc \| l 51-65 \| 51403 ] Execute this SQL based on the above table: select attendance where opponent# = 'at wake forest'	32483
[ header: team \| p \| w \| t \| l \| gf \| ga \| gd \| pts. row 1 : sweden \| 5 \| 5 \| 0 \| 0 \| 114 \| 91 \| +23 \| 10 row 2 : denmark \| 5 \| 3 \| 1 \| 1 \| 107 \| 99 \| +8 \| 7 row 3 : spain \| 5 \| 3 \| 0 \| 2 \| 114 \| 101 \| +13 \| 6 row 4 : hungary \| 5 \| 2 \| 0 \| 3 \| 100 \| 107 \| -7 \| 4 row 5 : slovenia \| 5 \| 1 \| 1 \| 3 \| 94 \| 111 \| -17 \| 3 row 6 : portugal \| 5 \| 0 \| 0 \| 5 \| 96 \| 116 \| -20 \| 0 ] Execute this SQL based on the above table: select team where id = ( select id where team = 'slovenia' ) - 1	hungary
[ header: team name \| leagues \| base \| year started \| year ended \| notable riders row 1 : aldershot shots \| national league division three \| tongham greyhound stadium \| 1950 \| 1960 \| None row 2 : bristol bulldogs \| national league, provincial league \| knowle stadium, bristol \| pre-1939 \| 1954 \| phil crump row 3 : cradley heath heathens \| british league \| dudley wood stadium \| 1947 \| 1996 \| listed in article row 4 : crayford kestrels \| british league division two/national league \| crayford stadium, crayford \| 1968 \| 1983 \| None row 5 : fleetwood flyers \| speedway national league division two \| highbury avenue sports stadium, fleetwood \| 1948 \| 1952 \| None row 6 : hackney wick wolves \| speedway national league \| hackney wick stadium \| 1935 \| 1939 \| listed in article row 7 : hackney hawks \| british league \| hackney wick stadium \| 1963 \| 1983 \| listed in article row 8 : hastings saxons \| speedway national league division three \| pilot field, hastings \| 1948 \| 1949 \| None row 9 : hull vikings \| elite league, premier league \| craven park \| 1995 \| 2005 \| listed in article row 10 : leicester stadium \| speedway northern league, speedway southern league \| the stadium, blackbird road, leicester \| 1929 \| 1931 \| cyril "squib" row 11 : leicester hounds \| speedway national league division two \| the stadium, blackbird road, leicester \| 1937 \| 1937 \| wilf plant, lloy row 12 : liverpool chads \| speedway national league division three, speedway national \| stanley stadium, liverpool \| late 1920s \| 1960 \| peter craven row 13 : middlesbrough bears \| northern league, speedway national league \| cleveland park \| 1939 \| 1996 \| listed in article row 14 : milton keynes knights \| None \| groveway greyhound stadium, milton key \| 1978 \| 1992 \| None row 15 : new cross rangers \| speedway national league, speedway provincial league \| new cross stadium \| 1937 \| 1963 \| tom farndon row 16 : newport wasps \| provincial league, british league, national \| hayley stadium \| 1964 (closed 1977, reopened \| 2011 \| None row 17 : nottingham \| southern league, national league \| olympic gardens/white city stadium \| 1930 \| 1938 \| None row 18 : paisley lions \| speedway national league \| love street \| 1975 \| 1976 \| sid and mick sheldrick, row 19 : rayleigh rockets \| speedway provincial league, metropolitan league \| rayleigh weir stadium, ray \| 1949 \| 1973 \| None row 20 : southampton saints \| speedway national league \| banister court stadium, southampton \| 1928 \| 1963 \| None row 21 : sunderland stars \| speedway national league \| sunderland greyhound stadium, east boldon \| 1971 \| 1974 \| None row 22 : trelawny pitbulls \| conference league \| clay country moto parc, st aus \| 2003 \| 2003 \| None row 23 : wembley lions \| southern league, speedway national league \| empire stadium \| 1929 \| 1971 \| listed in article row 24 : west ham hammers \| speedway british league, speedway \| west ham stadium \| 1930 \| 1971 \| listed in article row 25 : white city rebels \| speedway british league \| white city stadium \| 1976 \| 1978 \| gordon kennett, steve row 26 : wimbledon dons \| speedway national league \| wimbledon stadium \| 1929 \| 2005 \| listed in article ] Execute this SQL based on the above table: select base - team name where notable riders = 'listed in article'	0, 0, 0, 0, 0, 0, 0, 0
[ header: season \| division \| tier \| position \| cup row 1 : 1994-95 \| regionalliga sud \| iii \| 7 \| quarter-final row 2 : 1995-96 \| regionalliga sud \| iii \| 13 \| round 1 row 3 : 1997-97 \| regionalliga sud \| iii \| 8 \| dnq row 4 : 1997-98 \| regionalliga sud \| iii \| 6 \| dnq row 5 : 1998-99 \| regionalliga sud \| iii \| 8 \| dnq row 6 : 1999-00 \| regionalliga sud \| iii \| 5 \| dnq row 7 : 2000-01 \| regionalliga sud \| iii \| 9 \| dnq row 8 : 2001-02 \| regionalliga sud \| iii \| 10 \| dnq row 9 : 2002-03 \| regionalliga sud \| iii \| 4 \| round 1 row 10 : 2003-04 \| regionalliga sud \| iii \| 1 \| dnq row 11 : 2004-05 \| regionalliga sud \| iii \| 6 \| quarter-final row 12 : 2005-06 \| regionalliga sud \| iii \| 11 \| dnq row 13 : 2006-07 \| regionalliga sud \| iii \| 8 \| dnq row 14 : 2007-08 \| regionalliga sud \| iii \| 8 \| dnq row 15 : 2008-09 \| 3. liga \| iii \| 5 \| None row 16 : 2009-10 \| 3. liga \| iii \| 8 \| None row 17 : 2010-11 \| 3. liga \| iii \| 20 \| None row 18 : 2011-12 \| regionalliga sud \| iv \| 14 \| None row 19 : 2012-13 \| regionalliga bayern \| iv \| 2 \| None ] Execute this SQL based on the above table: select cup where position > ( select position where cup = 'dnq' ) order by position limit 1	dnq
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select change where change = '+4.6%' order by domestic passengers limit 939	+4.6%
[ header: number \| year built \| builder \| status \| notes row 1 : e371 \| 1892 \| david munro & co., \| static display \| on static display at maldon station row 2 : d3 619 \| 1914 \| newport workshops \| stored \| obtained from ssr bendigo in row 3 : d3 646 \| 1905 \| newport workshops \| stored \| non-operational. had been plinthed row 4 : k157 \| 1940 \| newport workshops \| stored \| non-operational. stored at maldon for row 5 : k160 \| 1940 \| newport workshops \| overhaul \| withdrawn from traffic mid 2012, transferred by road row 6 : j515 \| 1954 \| vulcan foundry \| operational \| returned to traffic in mid april 2012. row 7 : j549 \| 1954 \| vulcan foundry \| operational \| returned to service during november 2013 following ] Execute this SQL based on the above table: select notes where id = 1	on static display at maldon station
[ header: heat \| time \| pos \| rider \| country row 1 : sf 1 \| 2nd race: 12.101 s 3r \| 1 \| lori-ann muenzer \| canada row 2 : sf 1 \| 1st race: 11.802 s \| 2 \| anna meares \| australia row 3 : sf 2 \| 2nd race: 11.965 s 3 \| 1 \| tamilla abassova \| russia row 4 : sf 2 \| 1st race: 11.893 s \| 2 \| svetlana grankovs \| russia ] Execute this SQL based on the above table: select count ( rider ) where pos < ( select pos where rider = 'lori-ann muenzer' )	0
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| matt jackson \| 3 \| 25 \| 1386 row 2 : 1 \| nick jackson \| 3 \| 25 \| 1386 row 3 : 3 \| el generico \| 5 \| 12 \| 637 row 4 : 4 \| super dragon \| 6 \| 3 \| 609 row 5 : 5 \| scott lost \| 5 \| 14 \| 578 row 6 : 6 \| chris bosh \| 3 \| 11 \| 433 row 7 : 7 \| paul london \| 1 \| 5 \| 335 row 8 : 8 \| davey richards \| 3 \| 1 \| 324 row 9 : 9 \| kevin steen \| 3 \| 4 \| 315 row 10 : 10 \| player uno \| 1 \| 2 \| 232 row 11 : 10 \| stupefied \| 1 \| 2 \| 232 row 12 : 12 \| joey ryan \| 3 \| 3 \| 165 row 13 : 13 \| roderick strong \| 3 \| 1 \| 121 row 14 : 14 \| quicksilver \| 3 \| 2 \| 120 row 15 : 15 \| b-boy \| 3 \| 1 \| 84 row 16 : 16 \| pac \| 1 \| 1 \| 71 row 17 : 17 \| excalibur \| 1 \| 1 \| 63 row 18 : 18 \| human tornado \| 1 \| 1 \| 56 row 19 : 18 \| jimmy jacobs \| 1 \| 0 \| 56 row 20 : 18 \| tyler black \| 1 \| 0 \| 56 row 21 : 21 \| jack evans \| 1 \| 0 \| 49 row 22 : 22 \| homicide \| 1 \| 0 \| 28 row 23 : 23 \| scorpio sky \| 1 \| 0 \| 1 row 24 : 24 \| brian cage \| 1 \| 0 \| <1 row 25 : 24 \| michael elgin \| 1 \| 0 \| <1 ] Execute this SQL based on the above table: select wrestler order by wrestler limit 1	b-boy
[ header: position \| song title \| artist \| sales \| highest position row 1 : 1 \| unchained melody/white cliffs \| robson green & jerome flyn \| 1,844,000 \| 1 row 2 : 2 \| gangsta's paradise \| coolio featuring l.v \| 1,110,000 \| 1 row 3 : 3 \| i believe/up on the roof \| robson green & jerome flyn \| 1,049,000 \| 1 row 4 : 4 \| back for good \| take that \| 960,000 \| 1 row 5 : 5 \| think twice \| celine dion \| 928,000 \| 1 row 6 : 6 \| fairground \| simply red \| 782,000 \| 1 row 7 : 7 \| you are not alone \| michael jackson \| 714,000 \| 1 row 8 : 8 \| earth song \| michael jackson \| 802,000 \| 1 row 9 : 9 \| missing \| everything but the girl \| 696,000 \| 3 row 10 : 10 \| wonderwall \| oasis \| 665,000 \| 2 row 11 : 11 \| boom boom boom \| outhere brothers \| 652,000 \| 1 row 12 : 12 \| country house \| blur \| 642,000 \| 1 row 13 : 13 \| father and son \| boyzone \| 620,000 \| 2 row 14 : 14 \| don't stop (wiggle wiggle \| outhere brothers \| 617,000 \| 1 row 15 : 15 \| boombastic \| shaggy \| 557,000 \| 1 row 16 : 16 \| cotton eye joe \| rednex \| 512,000 \| 1 row 17 : 17 \| set you free \| n-trance \| 503,000 \| 2 row 18 : 18 \| living next door to alice \| smokie featuring roy ch \| 495,000 \| 3 row 19 : 19 \| hold me, thrill me, kiss me, kill \| u2 \| 471,000 \| 2 row 20 : 20 \| roll with it \| oasis \| 456,000 \| 2 row 21 : 21 \| guaglione \| perez 'prez' prado \| 445,000 \| 2 row 22 : 22 \| i'll be there for you \| the rembrandts \| 421,000 \| 3 row 23 : 23 \| two can play that game \| bobby brown \| 413,000 \| 3 row 24 : 24 \| here comes the hotstepper \| ini kamoze \| 407,000 \| 4 row 25 : 25 \| shy guy \| diana king \| 405,000 \| 2 row 26 : 26 \| it's oh so quiet \| bjork \| 404,000 \| 4 row 27 : 27 \| never forget \| take that \| 403,000 \| 1 row 28 : 28 \| don't give me your life \| alex party \| 395,000 \| 2 row 29 : 29 \| waterfalls \| tlc \| 355,000 \| 4 row 30 : 30 \| scatman (ski ba bop ba \| scatman john \| 352,000 \| 2 row 31 : 31 \| some might say \| oasis \| 346,000 \| 1 row 32 : 32 \| you'll see \| madonna \| 342,000 \| 5 row 33 : 33 \| thunder \| east 17 \| 339,000 \| 4 row 34 : 34 \| stayin' alive \| n-trance featuring ricardo \| 335,000 \| 2 row 35 : 35 \| i'd lie for you (and that \| meat loaf \| 334,000 \| 2 row 36 : 36 \| common people \| pulp \| 326,000 \| 2 row 37 : 37 \| fantasy \| mariah carey \| 323,000 \| 4 row 38 : 38 \| i've got a little something for \| mn8 \| 317,000 \| 2 row 39 : 39 \| kiss from a rose/i'm alive \| seal \| 310,000 \| 4 row 40 : 40 \| dreamer \| livin' joy \| 303,000 \| 1 ] Execute this SQL based on the above table: select count ( * ) where song title = 'some might say'	1
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 1998 \| tyencastle park, e \| estonia \| 1-1 \| 3-2 \| ecqg9 row 2 : 2 \| 10 october 1998 \| tyencastle park, e \| estonia \| 3-2 \| 3-2 \| ecqg9 row 3 : 3 \| 14 october 1998 \| pittodrie stadium, aberdeen \| faroe islands \| 2-0 \| 2-1 \| ecqg9 row 4 : 4 \| 4 september 1999 \| olimpijski stadion \| bosnia and herzegovin \| 2-1 \| 2-1 \| ecqg9 row 5 : 5 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 1-0 \| 2-2 \| wcqg6 row 6 : 6 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 2-0 \| 2-2 \| wcqg6 row 7 : 7 \| 28 march 2001 \| hampden park, glasgow \| san marino \| 3-0 \| 4-0 \| wcqg6 ] Execute this SQL based on the above table: select date where date in ( '28 march 2001' , '4-0' ) group by date order by count ( * ) desc limit 1	28 march 2001
[ header: ecclesiastical jurisdictions \| latin name \| type \| rite \| ecclesiastical province \| established \| area (km2) row 1 : benguela \| benguelensis \| diocese \| roman \| huambo \| 6 june 1970 \| 49920 row 2 : cabinda \| cabindanus \| diocese \| roman \| luanda \| 2 july 1984 \| 7120 row 3 : caxito \| caxitonsis \| diocese \| roman \| luanda \| 6 june 2007 \| 25133 row 4 : dundo \| dundensis \| diocese \| roman \| luanda \| 9 november 2001 \| 103130 row 5 : huambo \| huambensis \| metropolitan archdiocese \| roman \| huambo \| 4 september 1940 \| 29500 row 6 : kwito-bie \| kvitobiensis \| diocese \| roman \| huambo \| 4 september 1940 \| 71000 row 7 : luanda \| luandensis \| metropolitan archdiocese \| roman \| luanda \| 1596 \| 1074 row 8 : lubango \| lubangensis \| metropolitan archdiocese \| roman \| lubango \| 27 july 1955 \| 118000 row 9 : lwena \| lvenanus \| diocese \| roman \| saurimo \| 1 july 1963 \| 199786 row 10 : malanje \| malaniensis \| metropolitan archdiocese \| roman \| malanje \| 25 november 1957 \| 107000 row 11 : mbanza congo \| mbanzacongensis \| diocese \| roman \| luanda \| 7 november 1984 \| 39459 row 12 : menongue \| menonguensis \| diocese \| roman \| lubango \| 10 august 1975 \| 213309 row 13 : namibe \| namibanus \| diocese \| roman \| lubango \| 21 march 2009 \| 57097 row 14 : ndalatando \| ndalatandensis \| diocese \| roman \| malanje \| 26 march 1990 \| 20159 row 15 : ondjiva \| ondiivanus \| diocese \| roman \| lubango \| 10 august 1975 \| 83900 row 16 : saurimo \| saurimoensis \| metropolitan archdiocese \| roman \| saurimo \| 10 august 1975 \| 77000 row 17 : sumbe \| sumbensis \| diocese \| roman \| luanda \| 10 august 1975 \| 60000 row 18 : uije \| uiiensis \| diocese \| roman \| luanda \| 14 march 1967 \| 63530 row 19 : viana \| viananensis \| diocese \| roman \| luanda \| 6 june 2007 \| 17206 ] Execute this SQL based on the above table: select sum ( ecclesiastical province ) where area (km2) = 199786	0.0
[ header: date \| opponent \| time \| score \| record row 1 : 10/9/2009 \| university of new hampshire \| 7 p.m \| loss, 4-0 \| 0-1-0 row 2 : 10/10/2009 \| boston college \| 5 p.m \| None \| None row 3 : 10/16/2009 \| providence college \| 7 p.m \| 1-4 \| None row 4 : 10/17/2009 \| university of connecticut \| 4 p.m \| None \| None row 5 : 10/23/2009 \| wayne state university \| 7 p.m \| None \| None row 6 : 10/24/2009 \| wayne state university \| 2 p.m \| None \| None row 7 : 10/30/2009 \| harvard university \| 7 p.m \| None \| None row 8 : 10/31/2009 \| dartmouth college \| 3:30 p.m \| None \| None row 9 : 11/6/2009 \| rensselaer \| 2:30 p.m \| None \| None row 10 : 11/7/2009 \| union college \| 2:30 p.m \| 4-0 \| None row 11 : 11/13/2009 \| st. lawrence university \| 7 p.m \| None \| None row 12 : 11/14/2009 \| clarkson university \| 4 p.m \| None \| None row 13 : 11/20/2009 \| quinnipiac university \| 7 p.m \| None \| None row 14 : 11/21/2009 \| princeton university \| 4 p.m \| None \| None row 15 : 11/24/2009 \| syracuse university \| 7 p.m \| None \| None row 16 : 11/27/2009 \| mercyhurst college \| 7 p.m \| None \| None row 17 : 11/28/2009 \| mercyhurst college \| 2 p.m \| None \| None row 18 : 12/4/2009 \| brown university \| 7 p.m \| None \| None row 19 : 12/5/2009 \| yale university \| 4 p.m \| None \| None row 20 : 1/2/2010 \| syracuse university \| 7 p.m \| None \| None row 21 : 1/8/2010 \| niagara university \| 7 p.m \| None \| None row 22 : 1/9/2010 \| niagara university \| 4 p.m \| None \| None row 23 : 1/15/2010 \| dartmouth college \| 7 p.m \| None \| None row 24 : 1/16/2010 \| harvard university \| 4 p.m \| None \| None row 25 : 1/22/2010 \| cornell university \| 3 p.m \| None \| None row 26 : 1/23/2010 \| cornell university \| 3 p.m \| None \| None row 27 : 1/29/2010 \| clarkson university \| 7 p.m \| None \| None row 28 : 1/30/2010 \| st. lawrence university \| 4 p.m \| None \| None row 29 : 2/5/2010 \| princeton university \| 7 p.m \| None \| None row 30 : 2/6/2010 \| quinnipiac university \| 4 p.m \| None \| None row 31 : 2/12/2010 \| yale university \| 7 p.m \| None \| None row 32 : 2/13/2010 \| brown university \| 4 p.m \| None \| None row 33 : 2/19/2010 \| union college \| 7 p.m \| 2-1 \| None row 34 : 2/20/2010 \| rensselaer \| 4 p.m \| None \| None ] Execute this SQL based on the above table: select time where opponent = 'syracuse university'	7, 7
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select division where season >= 2006 and season <= 2011 group by division order by count ( * ) desc limit 1	division 3
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select award order by year desc limit 1	best actor
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select surface where surface != 'hard' and prev. result = ( select prev. result where surface = 'hard' )	clay
[ 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 pick # where position = 'tackle'	85.0, 90.0