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[ header: name | | local names | sort | canton(s), neighboring countries | area in km2 | elevation m | max. depth in meter row 1 : lake geneva | None | lac leman, lac de geneve | geneva | geneva, vaud, vala | 580.03 | 372 | 310
row 2 : lake lucerne | None | vierwaldstattersee | lucerne | lucerne, nidwalden | 113.72 | 433.6 | 214
row 3 : lake lugano | None | ceresio, lago di lug | lugano | ticino, italy | 48.67 | 270.5 | 288
row 4 : lake thun | None | thunersee | thun | berne | 47.74 | 557.8 | 215
row 5 : lake biel | None | lac de bienne, bielersee | biel/bienne | berne, neuchatel | 39.51 | 429.1 | 74
row 6 : lake zug | None | zugersee | zug | lucerne, schwyz, | 38.41 | 413.6 | 198
row 7 : lake murten | None | murtensee, lac de morat | murten | fribourg, vaud | 22.8 | 429.2 | 46
row 8 : lake sempach | None | sempachersee | sempach | lucerne | 14.36 | 503.8 | 87
row 9 : lago di livigno | ↑ | lago di livigno | livignio | italy, grisons | 4.71 | 1805 | 119
row 10 : wagitalersee | ↑ | wagitalersee | waegital | schwyz | 4.18 | 900 | 65
row 11 : lago di lei | ↑ | lago di lei | lei | italy, grisons | 4.12 | 1931 | 133
row 12 : lake sils | None | silsersee, lej da se | sils | grisons | 4.1 | 1797 | 71
row 13 : lac des dix | ↑ | lac des dix | dix | valais | 3.65 | 2365 | 227
row 14 : lake wohlen | ↑ | wohlensee | wohlen | berne | 3.65 | 480 | 20
row 15 : grimselsee | ↑ | grimselsee | grimsel | berne | 2.63 | 1908 | 100
row 16 : lake lungern | None | lungerersee, lungernsee | lungern | obwalden | 2.01 | 688 | 68
row 17 : lac de mauvoisin | ↑ | lac de mauvoisin | mauvoisin | valais | 2.08 | 1961 | 180
row 18 : lago di vogorno | ↑ | lago di vogorno | vogorno | ticino | 1.68 | 470 | 204
row 19 : zervreilasee | ↑ | zervreilasee | zervreila | grisons | 1.61 | 1862 | 140
row 20 : oberaarsee | ↑ | oberaarsee | oberaar | berne | 1.47 | 2303 | 90
row 21 : lac de moiry | ↑ | lac de moiry | moiry | valais | 1.4 | 2249 | 120
row 22 : albigna lake | ↑ | lago da l'albigna | albigna | grisons | 1.13 | 2163 | 108 ] Execute this SQL based on the above table: select sort where id = ( select id where sort = 'zug' ) - 1 | biel/bienne |
[ header: | dingli | marsa | mellieha | mosta | qormi | senglea | st.georges | st.patrick | tarxien | vittoriosa row 1 : dingli | None | 6-2 | 2-2 | 0-2 | 2-0 | 0-1 | 2-2 | 2-0 | 1-3 | 0-0
row 2 : marsa | 0-3 | None | 0-1 | 2-4 | 3-4 | 0-5 | 1-3 | 1-0 | 2-3 | 1-4
row 3 : mellieha | 0-2 | 1-3 | None | 1-2 | 4-3 | 1-3 | 0-1 | 2-2 | 2-2 | 3-6
row 4 : mosta | 4-0 | 0-3 | 3-0 | None | 2-2 | 3-1 | 2-0 | 2-0 | 0-1 | 2-1
row 5 : qormi | 4-2 | 1-1 | 3-0 | 3-3 | None | 1-0 | 1-0 | 1-0 | 4-1 | 0-1
row 6 : senglea | 0-4 | 5-2 | 4-0 | 2-1 | 1-3 | None | 2-0 | 0-4 | 0-1 | 1-0
row 7 : st. george's | 4-2 | 6-0 | 1-2 | 2-2 | 0-0 | 0-4 | None | 2-1 | 2-0 | 3-7
row 8 : st. patrick | 0-2 | 1-1 | 3-1 | 0-1 | 1-3 | 1-1 | 4-1 | None | 1-1 | 1-3
row 9 : tarxien | 2-1 | 4-0 | 3-0 | 0-0 | 0-2 | 1-0 | 1-0 | 3-0 | None | 3-2
row 10 : vittoriosa | 1-3 | 2-1 | 2-1 | 0-1 | 1-2 | 1-2 | 2-0 | 0-2 | 0-3 | None ] Execute this SQL based on the above table: select st.patrick where mellieha = '3-0' | 2-0, 1-0, 3-0 |
[ header: year | division | league | regular season | playoffs | open cup row 1 : 2006 | 4 | usl pdl | 4th, heartland | did not qualify | did not qualify
row 2 : 2007 | 4 | usl pdl | 2nd, heartland | conference semifinals | did not qualify
row 3 : 2008 | 4 | usl pdl | 4th, heartland | did not qualify | 1st round
row 4 : 2009 | 4 | usl pdl | 4th, heartland | did not qualify | did not qualify
row 5 : 2010 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify
row 6 : 2011 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify
row 7 : 2012 | 4 | usl pdl | 7th, heartland | did not qualify | did not qualify
row 8 : 2013 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify ] Execute this SQL based on the above table: select count ( regular season ) where regular season = '7th, heartland' | 1 |
[ header: team | winners | runners-up | years won | years runner-up row 1 : liverpool | 8 | 3 | 1981, 1982, 1983, 1984, 1995, | 1978, 1987, 2005
row 2 : aston villa | 5 | 3 | 1961, 1975, 1977, 1994, 1996 | 1963, 1971, 2010
row 3 : manchester united | 4 | 4 | 1992, 2006, 2009, 2010 | 1983, 1991, 1994, 2003
row 4 : tottenham hotspur | 4 | 3 | 1971, 1973, 1999, 2008 | 1982, 2002, 2009
row 5 : chelsea | 4 | 2 | 1965, 1998, 2005, 2007 | 1972, 2008
row 6 : nottingham forest | 4 | 2 | 1978, 1979, 1989, 1990 | 1980, 1992
row 7 : leicester city | 3 | 2 | 1964, 1997, 2000 | 1965, 1999
row 8 : manchester city | 3 | 1 | 1970, 1976, 2014 | 1974
row 9 : arsenal | 2 | 5 | 1987, 1993 | 1968, 1969, 1988, 2007, 2011
row 10 : norwich city | 2 | 2 | 1962, 1985 | 1973, 1975
row 11 : birmingham city | 2 | 1 | 1963, 2011 | 2001
row 12 : wolverhampton wanderers | 2 | 0 | 1974, 1980 | None
row 13 : west bromwich albion | 1 | 2 | 1966 | 1967, 1970
row 14 : middlesbrough | 1 | 2 | 2004 | 1997, 1998
row 15 : queens park rangers | 1 | 1 | 1967 | 1986
row 16 : leeds united | 1 | 1 | 1968 | 1996
row 17 : stoke city | 1 | 1 | 1972 | 1964
row 18 : luton town | 1 | 1 | 1988 | 1989
row 19 : sheffield wednesday | 1 | 1 | 1991 | 1993
row 20 : swindon town | 1 | 0 | 1969 | None
row 21 : oxford united | 1 | 0 | 1986 | None
row 22 : blackburn rovers | 1 | 0 | 2002 | None
row 23 : swansea city | 1 | 0 | 2013 | None
row 24 : west ham united | 0 | 2 | None | 1966, 1981
row 25 : everton | 0 | 2 | None | 1977, 1984
row 26 : bolton wanderers | 0 | 2 | None | 1995, 2004
row 27 : sunderland | 0 | 2 | None | 1985, 2014
row 28 : rotherham united | 0 | 1 | None | 1961
row 29 : rochdale | 0 | 1 | None | 1962
row 30 : newcastle united | 0 | 1 | None | 1976
row 31 : southampton | 0 | 1 | None | 1979
row 32 : oldham athletic | 0 | 1 | None | 1990
row 33 : tranmere rovers | 0 | 1 | None | 2000
row 34 : wigan athletic | 0 | 1 | None | 2006
row 35 : cardiff city | 0 | 1 | None | 2012
row 36 : bradford city | 0 | 1 | None | 2013 ] Execute this SQL based on the above table: select team order by winners desc limit 1 | liverpool |
[ header: year | location | gold | silver | bronze row 1 : 1958 | tokyo | sachika kamo | desideria ampon | liu shang-ku
row 2 : 1962 | jakarta | akiko fukui | reiko miyagi | desideria ampon patricia y
row 3 : 1966 | bangkok | lany kaligis | kazuko kuromatsu | lita liem sugiarto
row 4 : 1974 | tehran | lita liem sugiarto | paulina pesahov | lany kaligis
row 5 : 1978 | bangkok | lee duk-hee | chen chuan | kiyoko nomura sonoe
row 6 : 1982 | new delhi | etsuko inoue | kim soo-ok | yu liqiao
row 7 : 1986 | seoul | li xinyi | lee jeong-soon | kim soo-ok
row 8 : 1990 | beijing | akiko kijimuta | chen li | park mal-sim kim il-
row 9 : 1994 | hiroshima | kimiko date | naoko sawamatsu | yayuk basuki chen
row 10 : 1998 | bangkok | yayuk basuki | tamarine tanasugar | li fang yi j
row 11 : 2002 | busan | iroda tulyaganova | tamarine tanasugar | shinobu asagoe
row 12 : 2006 | doha | zheng jie | sania mirza | li na aiko
row 13 : 2010 | guangzhou | peng shuai | akgul amanmuradova | kimiko date-krumm s ] Execute this SQL based on the above table: select bronze where id = ( select id where bronze = 'kim soo-ok' ) - 1 | yu liqiao |
[ header: | country | builder | location | ship | class / type row 1 : 6 march | united states | john roach and son | chester, pennsylvania | city of rio de janeiro | passenger ship
row 2 : 13 may | germany | kaiserliche werft wil | wilhelmshaven | bayern | sachsen-class ironclad
row 3 : 13 june | united kingdom | royal dockyard | devonport, devon | pegasus | doterel-class sloop
row 4 : 31 august | united kingdom | royal dockyard | sheerness | gannet | doterel-class sloop
row 5 : 23 october | norway | karljohansverns ver | horten | nor | vale-class gunboat
row 6 : 1 november | norway | karljohansverns ver | horten | brage | vale-class gunboat
row 7 : 9 november | germany | a. g. vulcan | stettin | wurttemberg | sachsen-class ironclad ] Execute this SQL based on the above table: select builder where builder != 'royal dockyard' and builder = 'kaiserliche werft wilhelmshaven' | kaiserliche werft wilhelmshaven |
[ header: season | date | driver | team | chassis | engine | race distance laps | race distance miles (km) | race time | average speed (mph) | report row 1 : 2005 | july 17 | sebastien bourdais | newman/haas racing | lola | ford-cosworth | 88 | 173.624 (279.42) | 1:38:55 | 105.302 | report
row 2 : 2006 | july 23 | justin wilson | rusport | lola | ford-cosworth | 85 | 167.705 (269.895) | 1:40:30 | 100.112 | report
row 3 : 2007 | july 22 | sebastien bourdais | newman/haas/lanigan racing | panoz | cosworth | 96 | 189.408 (304.822) | 1:45:41 | 107.517 | report
row 4 : 2008 | july 26 | scott dixon | chip ganassi racing | dallara | honda | 91 | 179.543 (288.946) | 1:51:06 | 96.967 | report
row 5 : 2009 | july 26 | will power | penske racing | dallara | honda | 95 | 187.435 (301.647) | 1:42:42 | 109.498 | report
row 6 : 2010 | july 25 | scott dixon | chip ganassi racing | dallara | honda | 95 | 187.435 (301.647) | 1:50:37 | 101.666 | report
row 7 : 2011 | july 24 | will power | penske racing | dallara | honda | 80 | 180.48 (290.454) | 1:57:23 | 90.949 | report
row 8 : 2012 | july 22 | helio castroneves | penske racing | dallara | chevrolet | 75 | 169.2 (272.301) | 1:38:51 | 101.246 | report ] Execute this SQL based on the above table: select team where id = 1 | newman/haas racing |
[ header: rank | bib | name | nationality | start | penalties (p+p+s+s) | time | deficit row 1 : None | 1 | emil hegle sven | norway | 0:00 | 1 (0+0+0+1) | 32:35.5 | None
row 2 : 7 | 8 | fredrik lindstrom | sweden | 0:38 | 1 (0+0+1+0) | 33:18.9 | 43.4
row 3 : 8 | 6 | alexis bœuf | france | 0:25 | 2 (0+0+2+0) | 33:22.1 | 46.6
row 4 : 9 | 13 | bjorn ferry | sweden | 0:52 | 0 (0+0+0+0) | 33:23.6 | 48.1
row 5 : 12 | 10 | simon eder | austria | 0:39 | 3 (0+0+2+1) | 33:50.5 | +1:15.0
row 6 : 13 | 32 | lowell bailey | united states | 1:38 | 0 (0+0+0+0) | 33:56.4 | +1:20.9
row 7 : 14 | 12 | erik lesser | germany | 0:49 | 4 (1+0+2+1) | 34:06.0 | +1:30.5
row 8 : 16 | 9 | evgeny ustyugov | russia | 0:38 | 3 (0+1+2+0) | 34:16.7 | +1:41.2
row 9 : 17 | 18 | tarjei bø | norway | 1:14 | 3 (2+0+1+0) | 34:18.9 | +1:43.4
row 10 : 18 | 29 | simon schempp | germany | 1:36 | 1 (0+0+0+1) | 34:24.4 | +1:48.9
row 11 : 24 | 21 | klemen bauer | slovenia | 1:16 | 4 (1+0+3+0) | 34:55.4 | +2:19.9
row 12 : 25 | 26 | christian de lorenzi | italy | 1:30 | 1 (0+0+0+1) | 34:57.5 | +2:22.0
row 13 : 26 | 20 | jean-guillaume beatr | france | 1:15 | 4 (0+1+2+1) | 34:58.4 | +2:22.9
row 14 : 27 | 33 | daniel mesotit | austria | 1:39 | 3 (0+0+2+1) | 34:58.7 | +2:23.2
row 15 : 29 | 30 | matej kazar | slovakia | 1:36 | 5 (2+1+1+1) | 35:04.9 | +2:29.4
row 16 : 30 | 17 | andriy deryzemlya | ukraine | 1:13 | 4 (0+0+2+2) | 35:05.3 | +2:29.8
row 17 : 33 | 58 | dominik windisch | italy | 2:31 | 2 (0+0+1+1) | 35:36.4 | +3:00.9
row 18 : 35 | 25 | benjamin weger | switzerland | 1:28 | 3 (0+1+1+1) | 36:13.1 | +3:37.6
row 19 : 38 | 22 | tomas kaukenas | lithuania | 1:20 | 4 (0+0+2+2) | 36:33.4 | +3:57.9
row 20 : 42 | 27 | jaroslav soukup | czech republic | 1:32 | 6 (2+2+2+0) | 36:59.8 | +4:24.3
row 21 : 44 | 56 | hidenori isa | japan | 2:27 | 2 (0+0+0+2) | 37:13.9 | +4:38.4
row 22 : 51 | 48 | claudio bockli | switzerland | 2:13 | 3 (2+0+0+1) | 38:02.8 | +5:27.3 ] Execute this SQL based on the above table: select deficit group by deficit order by count ( * ) desc limit 1 | 2.0 |
[ header: opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00%
row 2 : chennai cheeta | 2 | 1 | 0 | 1 | 6 | 5 | 50.00%
row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00%
row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00%
row 5 : mumbai marines | 2 | 2 | 0 | 0 | 9 | 5 | 100.00%
row 6 : pune strykers | 3 | 2 | 0 | 1 | 11 | 8 | 66.67%
row 7 : sher-e-punjab | 2 | 1 | 0 | 1 | 5 | 6 | 50.00% ] Execute this SQL based on the above table: select count ( * ) where opposition = 'delhi wizards' and against > 879 | 0 |
[ header: name of place | number of counties | principal county | lower zip code row 1 : yager junction | 1 | humboldt county | None
row 2 : yale | 1 | riverside county | 92544
row 3 : yankee hill | 1 | butte county | 95965
row 4 : yankee hill | 1 | tuolumne county | None
row 5 : yankee jims | 1 | placer county | 95713
row 6 : yarmouth | 1 | san joaquin county | None
row 7 : yellowjacket | 1 | tehama county | None
row 8 : yerba buena island | 1 | san francisco county | None
row 9 : yermo | 1 | san bernardino county | 92398
row 10 : yettem | 1 | tulare county | 93670
row 11 : ygnacio valley | 1 | contra costa county | 94598
row 12 : yokohl | 1 | tulare county | None
row 13 : yolano | 1 | solano county | 95620
row 14 : yolo | 1 | yolo county | 95697
row 15 : yontocket | 1 | del norte county | None
row 16 : yorba | 1 | los angeles county | 91767
row 17 : yorba linda | 1 | orange county | 92686
row 18 : york | 1 | los angeles county | 90050
row 19 : yorkville | 1 | mendocino county | 95494
row 20 : yosemite forks | 1 | madera county | None
row 21 : yosemite junction | 1 | tuolumne county | 95389
row 22 : yosemite lakes | 1 | madera county | None
row 23 : yosemite lakes park | 1 | madera county | None
row 24 : yosemite lodge | 1 | mariposa county | 95389
row 25 : yosemite national park | 3 | madera county | 95389
row 26 : yosemite national park | 3 | mariposa county | 95389
row 27 : yosemite national park | 3 | tuolumne county | 95389
row 28 : yosemite national park | 1 | mariposa county | 95389
row 29 : yosemite valley | 1 | mariposa county | None
row 30 : yosemite village | 1 | mariposa county | None
row 31 : you bet | 1 | nevada county | None
row 32 : youngstown | 1 | san joaquin county | None
row 33 : yountville | 1 | napa county | 94599
row 34 : yreka | 1 | siskiyou county | 96097
row 35 : yreka city | 1 | siskiyou county | 96097
row 36 : yuba city | 1 | sutter county | 95991
row 37 : yuba city farm labor center | 1 | sutter county | 95991
row 38 : yuba pass | 1 | nevada county | None
row 39 : yuba-sutter area | 2 | sutter county yuba county | None
row 40 : yucaipa | 1 | san bernardino county | 92399
row 41 : yucca inn | 1 | san bernardino county | None
row 42 : yucca valley | 1 | san bernardino county | 92284
row 43 : yurok indian reservation | 2 | del norte county | 95546 ] Execute this SQL based on the above table: select abs ( ( select number of counties where principal county = 'placer county' ) - ( select number of counties where principal county = 'mariposa county' ) ) | 0.0 |
[ header: serial number | river | name | area (km2) | district | co-ordinate | altitude (m) row 1 : 1 | bharathapuzha | malampuzha | 23.13 | palakkad | 10°50′n 76°41′ | 104
row 2 : 2 | bharathapuzha | mangalam | 3.93 | palakkad | 10°31′n 76°32′ | 72
row 3 : 3 | bharathapuzha | meenkara | 2.59 | palakkad | 10°37′n 76°48′ | 152
row 4 : 4 | bharathapuzha | chulliar | 1.59 | palakkad | 10°35′n 76°46′ | 143
row 5 : 5 | bharathapuzha | pothundi | 3.63 | palakkad | 10°32′n 76°38′ | 93
row 6 : 9 | chalakkudy | thunakkadavu | 2.83 | palakkad | 10°25′59′′n 76° | 565
row 7 : 10 | chalakkudy | peruvaaripallam | None | palakkad | 10°26′49′′n 76° | 565
row 8 : 12 | chalakkudy | peringalkuthu dam | 2.63 | thrissur | None | None
row 9 : 13 | kallada | parappar | 25.9 | kollam | 09° 57' 77° 4' | None
row 10 : 15 | karuvanoor | peechi | 12.63 | thrissur | 10°32′n 76°23′ | 73
row 11 : 16 | keecheri | vazhani | 2.55 | thrissur | 10° 40' 76° 15' | None
row 12 : 17 | kuttiadi | kuttiadi | 10.52 | kozhikode | 11° 36' 75° 49'27" | None
row 13 : 19 | pamba | pamba | 5.7 | pathanamthitta | 09° 20' 76° 53' | None
row 14 : 20 | pamba | kakki | 18 | pathanamthitta | None | None
row 15 : 21 | periyar | idukki | 61.6 | idukki | 09° 48' 76° 53' | 720
row 16 : 22 | periyar | ponmudi | 2.6 | idukki | 09° 55' 77° 05' | None
row 17 : 24 | periyar | kundala | 2.3 | idukki | 10° 0' 77° 0 | None
row 18 : 26 | periyar | sengulam | 0.33 | idukki | 10° 00' 77° 05 | None
row 19 : 27 | periyar | neriamangalam | 4.13 | idukki | None | None
row 20 : 30 | valapattanam | pazhassi | 6.48 | kannur | None | None
row 21 : 33 | chimmini dam | thrissur | 85.067 | thrissur | None | None ] Execute this SQL based on the above table: select count ( serial number ) | 21 |
[ header: rank | heat | country | cyclists | result | notes row 1 : 1 | 6 | great britain | chris hoy jason kenn | 42.95 | q, wr
row 2 : 2 | 7 | france | gregory bauge kevin | 43.541 | q
row 3 : 3 | 6 | germany | rene enders maximilian | 44.197 | q
row 4 : 4 | 7 | netherlands | theo bos teun mul | 44.213 | q
row 5 : 5 | 5 | australia | daniel ellis mark french | 44.335 | q
row 6 : 6 | 1 | japan | kiyofumi nagai | 44.454 | q
row 7 : 7 | 3 | malaysia | azizulhasni awang jos | 44.752 | q
row 8 : 8 | 2 | united states | michael blatchford | 45.346 | q
row 9 : 9 | 4 | china | feng yong li we | 45.556 | None
row 10 : 10 | 3 | greece | athanasios mantz | 45.645 | None
row 11 : 11 | 2 | czech republic | tomas babek adam | 45.678 | None
row 12 : 12 | 5 | russia | sergey polynskiy denis | 45.964 | None
row 13 : 13 | 1 | poland | maciej bielecki kamil | 45.266 | None ] Execute this SQL based on the above table: select cyclists order by id desc limit 1 | maciej bielecki kamil kuczynski łukasz kwiatkowski |
[ header: date | ship | nationality | tonnage | fate row 1 : 19 august 1941 | ss aguila | united kingdom | 3255 | sunk
row 2 : 27 november 1941 | hmas parramatta | royal australian navy | 1060 | sunk
row 3 : 23 december 1941 | ss shuntien | united kingdom | 3059 | sunk
row 4 : 26 december 1941 | ss warszawa | poland | 2487 | sunk
row 5 : 10 june 1942 | mv athene | norway | 4681 | sunk
row 6 : 10 june 1942 | ss brambleleaf | united kingdom | 5917 | damaged ] Execute this SQL based on the above table: select ( select tonnage where ship = 'ss aguila' ) - ( select tonnage where ship = 'mv athene' ) | -1426.0 |
[ header: represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adame | 20 | 1.65 mts | panama city
row 2 : 2 | catherine henderson tudi | 20 | 1.66 mts | panama city
row 3 : 3 | giovanna alida loa | 21 | 1.67 mts | panama city
row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city
row 5 : 5 | ivonne ileana correa | 23 | 1.70 mts | panama city
row 6 : 6 | karol guevara | 22 | 1.70 mts | panama city
row 7 : 7 | betzy janette achurr | 20 | 1.70 mts | panama city
row 8 : 8 | marisela moreno montero | 24 | 1.73 mts | panama city
row 9 : 9 | patricia de leon | 19 | 1.74 mts | panama city
row 10 : 10 | marichelle julieta r | 20 | 1.74 mts | panama city
row 11 : 11 | betsy milena batista | 21 | 1.75 mts | panama city
row 12 : 12 | lourdes rodriguez | 21 | 1.75 mts | panama city
row 13 : 13 | janessy jasiell contreras | 18 | 1.75 mts | panama city
row 14 : 14 | gina larissa correa hils | 20 | 1.76 mts | panama city
row 15 : 15 | swany cisney castill | 23 | 1.78 mts | panama city
row 16 : 16 | michelle krisko sugasti | 20 | 1.80mts | panama city ] Execute this SQL based on the above table: select count ( * ) where contestant = 'gina larissa correa hils' | 1 |
[ header: place | player | country | score | to par | money ($) row 1 : t1 | larry nelson | united states | 70-72-73-72=287 | -1 | playoff
row 2 : t1 | lanny wadkins | united states | 70-70-74-73=287 | -1 | playoff
row 3 : t3 | scott hoch | united states | 74-74-71-69=2 | e | 58750
row 4 : t3 | d. a. weibring | united states | 73-72-67-76=2 | e | 58750
row 5 : t5 | mark mccumber | united states | 74-69-69-77=2 | 1 | 37500
row 6 : t5 | don pooley | united states | 73-71-73-72=2 | 1 | 37500
row 7 : t7 | ben crenshaw | united states | 72-70-74-74=290 | 2 | 27500
row 8 : t7 | bobby wadkins | united states | 68-74-71-77=290 | 2 | 27500
row 9 : 9 | curtis strange | united states | 70-76-71-74=291 | 3 | 22500
row 10 : t10 | seve ballesteros | spain | 72-70-72-78=292 | 4 | 17000
row 11 : t10 | david frost | south africa | 75-70-71-76=292 | 4 | 17000
row 12 : t10 | tom kite | united states | 72-77-71-72=292 | 4 | 17000
row 13 : t10 | nick price | zimbabwe | 76-71-70-75=29 | 4 | 17000 ] Execute this SQL based on the above table: select count ( money ($) ) where place = 518 | 0 |
[ header: 2011 rank | 2010 rank | 2009 rank | 2008 rank | 2007 rank | company (country) | 2011 arms sales (us$ m.) | 2010 arms sales (us$ m.) | 2009 arms sales (us$ m.) | 2008 arms sales (us$ m.) | 2007 arms sales (us$ m.) | arms sales as share of company's total sales (%), row 1 : 1 | 1 | 1 | 2 | 3 | lockheed martin | 36270 | 35730 | 33430 | 29880 | 29400 | 78
row 2 : 2 | 3 | 3 | 3 | 1 | boeing | 31830 | 31360 | 32300 | 29200 | 30480 | 46
row 3 : 3 | 2 | 2 | 1 | 2 | bae systems | 29150 | 32880 | 33250 | 32420 | 29860 | 95
row 4 : 4 | 5 | 5 | 5 | 5 | general dynamics | 23760 | 23940 | 25590 | 22780 | 21520 | 73
row 5 : 5 | 6 | 6 | 6 | 6 | raytheon | 22470 | 22980 | 21030 | 23080 | 19540 | 90
row 6 : 6 | 4 | 4 | 4 | 4 | northrop grumman | 21390 | 28150 | 27000 | 26090 | 24600 | 81
row 7 : 7 | 7 | 7 | 7 | 7 | airbus group | 16390 | 16360 | 17900 | 15930 | 13100 | 24
row 8 : 8 | 8 | 8 | 8 | 9 | finmeccanica | 14560 | 14410 | 13280 | 13020 | 9850 | 60
row 9 : 9 | 9 | 9 | 9 | 8 | l-3 communications | 12520 | 13070 | 13010 | 12160 | 11240 | 83
row 10 : 10 | 10 | 10 | 11 | 11 | united technologies corporation | 11640 | 11410 | 11110 | 9980 | 8760 | 20
row 11 : 11 | 11 | 11 | 10 | 10 | thales group | 9480 | 9950 | 10200 | 10760 | 9350 | 52
row 12 : 12 | 12 | 12 | 12 | 12 | saic | 7940 | 8230 | 8030 | 7350 | 6250 | 75
row 13 : 13 | None | None | None | None | huntington ingalls industries | 6380 | None | None | None | None | 97
row 14 : 14 | 15 | 14 | 15 | 15 | honeywell | 5280 | 5400 | 5380 | 5310 | 5020 | 14
row 15 : 15 | 16 | 16 | 25 | 14 | safran | 5240 | 4800 | 4740 | 3020 | 5230 | 32
row 16 : 16 | 14 | 13 | 14 | 13 | computer sciences corp | 4860 | 5940 | 6050 | 5710 | 5420 | 31
row 17 : 17 | 17 | 19 | 17 | 17 | rolls-royce | 4670 | 4330 | 4140 | 4720 | 4580 | 26
row 18 : 18 | 21 | None | None | None | united aircraft corporation | 4440 | 3440 | None | None | None | 80
row 19 : 19 | 13 | 27 | 37 | 45 | oshkosh corporation | 4370 | 7080 | 2770 | 2070 | 1570 | 58
row 20 : 20 | 18 | 18 | 22 | 20 | general electric | 4100 | 4300 | 4700 | 3650 | 3460 | 3
row 21 : 21 | 19 | 17 | 16 | 19 | itt corp | 4020 | 4000 | 4730 | 5170 | 3850 | 69
row 22 : 22 | 20 | 22 | 18 | 23 | almaz-antey | 3690 | 3950 | 3260 | 4340 | 2780 | 85 ] Execute this SQL based on the above table: select company (country) where id = 7 | airbus group |
[ header: team 1 | agg. | team 2 | 1st leg | 2nd leg row 1 : dr congo | None | chad | None | None
row 2 : ethiopia | None | equatorial guinea | None | None
row 3 : swaziland | None | mauritius | None | None
row 4 : djibouti | None | madagascar | None | None
row 5 : sierra leone | 2-2 (1-3 p) | liberia | 1-1 | 1-1
row 6 : somalia | 0-1 | sudan | 0-0 | 0-1
row 7 : botswana | 1-0 | namibia | 1-0 | 0-0 ] Execute this SQL based on the above table: select 2nd leg where agg. = '1-0' | 0-0 |
[ header: round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20781 | alex ishchenko | west coast
row 2 : 2 | friday, 8 april 7: | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24886 | john gastev | west coast
row 3 : 4 | saturday, 23 april | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26276 | james manson | collingwood
row 4 : 5 | friday, 29 april 7: | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17662 | ross glendinning | west coast
row 5 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10133 | donald mcdonald | north melbourne
row 6 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12803 | alex ishchenko | west coast
row 7 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27344 | chris wittman | hawthorn
row 8 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27663 | ken hunter | carlton
row 9 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28045 | alan johnson | melbourne
row 10 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15028 | wally matera | west coast
row 11 : 14 | saturday, 2 july 2:1 | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10298 | simon madden | essendon
row 12 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18537 | chris mainwaring | west coast
row 13 : 16 | friday, 15 july 7:40 | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16074 | mark withers | brisbane bears
row 14 : 17 | friday, 22 july 7:40 | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7611 | john ironmonger | fitzroy
row 15 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16266 | murray rance | west coast
row 16 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18193 | guy mckenna | west coast ] Execute this SQL based on the above table: select distinct opponent where team in ( 'west coast' , 'west coast' ) | richmond, essendon, footscray, st kilda, fitzroy, geelong, melbourne, north melbourne |
[ header: name | date built | builder | works no. | wheels | cylinders | notes | withdrawn row 1 : veteran | 1847 | None | None | 0-6-0 | inside | arr. 1847 | None
row 2 : fairfield | 1847 | None | None | 0-6-0 | inside | arr. 1847 | None
row 3 : waverley | None | henry hughes of lough | None | 0-4-0st | outside | None | 1889
row 4 : bee | None | None | None | 0-6-0t | None | None | None
row 5 : spider | None | None | None | 0-6-0t | None | None | None
row 6 : gillingham | None | aveling and porter | None | 0-6-0tg | None | arr. 1893 | 1893
row 7 : no.1 | 1880 | hunslet | 231 | 0-6-0st | inside | arr. 1893 | 1923
row 8 : no.2 | 1898 | peckett | 696 | 0-4-0st | outside | arr. 1904 | 1923 ] Execute this SQL based on the above table: select wheels order by date built desc limit 1 | 0-4-0st |
[ header: league | league | position | teams | matches | win | lose row 1 : v.league | 7th (2000-01) | 4th | 10 | 18 | 9 | 9
row 2 : v.league | 8th (2001-02) | 4th | 9 | 16 | 14 | 2
row 3 : v.league | 9th (2002-03) | 3rd | 8 | 21 | 12 | 9
row 4 : v.league | 10th (2003-04) | runner-up | 10 | 18 | 13 | 5
row 5 : v.league | 11th (2004-05) | 8th | 10 | 27 | 11 | 16
row 6 : v.league | 12th (2005-06) | 4th | 10 | 27 | 20 | 7
row 7 : v・premier | 2006-07 | 6th | 10 | 27 | 11 | 16
row 8 : v・premier | 2007-08 | champion | 10 | 27 | 23 | 4
row 9 : v・premier | 2008-09 | champion | 10 | 27 | 20 | 7
row 10 : v・premier | 2009-10 | champion | 8 | 28 | 21 | 7
row 11 : v・premier | 2010-11 | runner-up | 8 | 26 | 19 | 7
row 12 : v・premier | 2011-12 | champion | 8 | 21 | 18 | 3
row 13 : v・premier | 2012-13 | runner-up | 8 | 28 | 20 | 8 ] Execute this SQL based on the above table: select count ( league ) where win = 20 | 3 |
[ header: title | character | broadcaster | episodes | date row 1 : rev | pip | bbc two | 1 | 2010
row 2 : the i.t. crowd | nikki | channel 4 | 1 | 2010
row 3 : eastenders: e20 | ava | bbc one | 15 | 2011
row 4 : fresh meat | caz | channel 4 | 1 | 2011
row 5 : phoneshop | daisy | channel 4 | 1 | 2011
row 6 : holby city | heidi hall | bbc one | 1 | 2012
row 7 : plebs | cynthia | itv2 | 6 | 2013
row 8 : blandings | valerie fanshawe | bbc | 2.5 | 2014
row 9 : death in paradise | helen walker | bbc | 3.4 | 2014 ] Execute this SQL based on the above table: select title where character = 'helen walker' | death in paradise |
[ 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 sum ( behind ) | 45.33 |
[ header: year | single | peak chart positions us | peak chart positions us r&b | peak chart positions us a/c | peak chart positions uk row 1 : 1978 | "i'm coming home again" | None | 54 | None | None
row 2 : 1979 | "am i too late" | None | 45 | None | None
row 3 : 1981 | "when a child is born" (with | None | None | None | 74
row 4 : 1985 | "that's what friends are for" ( | 1 | 1 | 1 | 16
row 5 : 1986 | "loving on borrowed time (love theme | None | None | 16 | None
row 6 : 1989 | "licence to kill" | None | 69 | 18 | 6
row 7 : 1990 | "if i knew then what i know | None | None | 10 | None
row 8 : 1991 | "men" | None | 2 | None | None
row 9 : 1991 | "superwoman" (with dionne warwick | None | 19 | None | None
row 10 : 1991 | "meet me in the middle" | None | 78 | None | None
row 11 : 1992 | "where would i be" | None | 66 | None | None
row 12 : 1994 | "i don't want to know" | 113 | 32 | None | None
row 13 : 1994 | "end of the road medley" | None | 76 | None | None
row 14 : 1995 | "next time" | None | 30 | None | None
row 15 : 1996 | "missing you" (with brandy, | 25 | 10 | 30 | None
row 16 : 2010 | "settle" | None | None | None | None
row 17 : 2011 | "i (who have nothing)" | None | None | None | None ] Execute this SQL based on the above table: select single where year = 1989 | "licence to kill" |
[ header: year | title | role | network | notes row 1 : 2000 | youth y2k 青春@y2 | cheng shasha | None | None
row 2 : 2001 | the monkey king: quest for the sutra | purple orchid | tvb | None
row 3 : 2001 | 藍寶石的夜空 | shek po-yi | tvb | eason chan's music video
row 4 : 2002 | 一twins零一夜 | ah sa | tvb | music video
row 5 : 2003 | triumph in the skies 衝上雲霄 | charlene | tvb | cameo
row 6 : 2003 | all about boy'z 一起喝采 | langlang princess | now.com.hk | appearance in episode 2
row 7 : 2003 | 2半3更之困車立 | ah sa | now.com.hk | None
row 8 : 2003 | 愛在陽光下 | aids patient | None | music video produced to support the global anti-aid
row 9 : 2004 | kung fu soccer 功夫足球 | None | tvb | guest star
row 10 : 2004 | sunshine heartbeat 赤沙印記@四葉草.2 | ah sa | tvb | guest star
row 11 : 2004 | 家有寶貝 | ah sa | None | guest star
row 12 : 2007 | colours of love 森之愛情 | wai-fong / ching- | tvb | None
row 13 : 2007 | life off stage | None | None | None
row 14 : 2010 | calling for love! 呼叫大明星 | chen dexin | cts | None
row 15 : 2011 | the legend of swordman 劍俠情緣 | tang xiaowan / n | None | None
row 16 : 2012 | happy marshal 歡樂元帥 | little dragon girl (xiao long nu) | None | None ] Execute this SQL based on the above table: select year where network = 'tvb' and year = 2007 | 2007 |
[ header: county | obama | votes | romney | votes | others | votes | total row 1 : bernalillo | 55.55% | 147,183 | 39.35% | 104,242 | 5.10% | 13,517 | 264,942
row 2 : catron | 26.38% | 560 | 70.37% | 1,494 | 3.25% | 69 | 2,123
row 3 : chaves | 32.28% | 6,641 | 64.77% | 13,327 | 2.95% | 607 | 20,575
row 4 : cibola | 60.18% | 4,907 | 36.37% | 2,966 | 3.45% | 281 | 8,154
row 5 : colfax | 49.05% | 2,828 | 46.83% | 2,700 | 4.11% | 237 | 5,765
row 6 : dona ana | 55.97% | 36,778 | 41.07% | 26,988 | 2.96% | 1,946 | 65,712
row 7 : eddy | 31.83% | 6,110 | 65.36% | 12,546 | 2.81% | 539 | 19,195
row 8 : grant | 55.00% | 7,009 | 41.48% | 5,286 | 3.52% | 449 | 12,744
row 9 : guadalupe | 69.68% | 1,478 | 26.12% | 554 | 4.20% | 89 | 2,121
row 10 : lea | 23.98% | 4,080 | 73.75% | 12,548 | 2.27% | 387 | 17,015
row 11 : los alamos | 48.72% | 5,191 | 45.02% | 4,796 | 6.26% | 667 | 10,654
row 12 : luna | 47.77% | 3,583 | 48.93% | 3,670 | 3.29% | 247 | 7,500
row 13 : mckinley | 72.08% | 15,363 | 25.43% | 5,420 | 2.49% | 530 | 21,313
row 14 : mora | 74.85% | 1,952 | 22.81% | 595 | 2.34% | 61 | 2,608
row 15 : otero | 34.15% | 6,811 | 62.23% | 12,412 | 3.62% | 723 | 19,946
row 16 : quay | 37.32% | 1,384 | 59.39% | 2,202 | 3.29% | 122 | 3,708
row 17 : roosevelt | 28.92% | 1,730 | 67.73% | 4,052 | 3.36% | 201 | 5,983
row 18 : san juan | 34.11% | 15,688 | 62.57% | 28,779 | 3.32% | 1,527 | 45,994
row 19 : san miguel | 76.86% | 8,751 | 20.04% | 2,281 | 3.10% | 353 | 11,385
row 20 : sandoval | 50.29% | 26,976 | 45.17% | 24,228 | 4.53% | 2,432 | 53,636
row 21 : santa fe | 73.37% | 50,097 | 22.48% | 15,351 | 4.15% | 2,832 | 68,280
row 22 : sierra | 38.49% | 1,964 | 57.39% | 2,928 | 4.12% | 210 | 5,102
row 23 : socorro | 56.37% | 4,047 | 37.89% | 2,720 | 5.74% | 412 | 7,179
row 24 : taos | 78.06% | 11,855 | 17.84% | 2,710 | 4.10% | 623 | 15,188
row 25 : torrance | 37.86% | 2,414 | 55.22% | 3,521 | 6.92% | 441 | 6,376
row 26 : union | 26.83% | 472 | 70.27% | 1,236 | 2.90% | 51 | 1,759
row 27 : valencia | 48.73% | 13,473 | 46.25% | 12,788 | 5.01% | 1,386 | 27,647 ] Execute this SQL based on the above table: select votes - votes where others = '5.01%' | 0.0 |
[ header: date | winning team | score | losing team | score | ot | city | state/province | arena | attendance row 1 : october 21, 1993 | st. louis | 5 | san jose | 2 | None | sacramento | ca | arco arena | 7144
row 2 : october 31, 1993 | ny rangers | 4 | new jersey | 1 | None | halifax | ns | halifax metro centre | 8200
row 3 : november 3, 1993 | pittsburgh | 6 | buffalo | 2 | None | sacramento | ca | arco arena | 10117
row 4 : november 9, 1993 | anaheim | 4 | dallas | 2 | None | phoenix | az | america west arena | 8143
row 5 : november 18, 1993 | ny islanders | 5 | montreal | 1 | None | hamilton | on | copps coliseum | 17008
row 6 : december 9, 1993 | dallas | 6 | ottawa | 1 | None | minneapolis | mn | target center | 14058
row 7 : december 23, 1993 | vancouver | 4 | calgary | 3 | None | saskatoon | sk | saskplace | 11429
row 8 : december 31, 1993 | philadelphia | 4 | boston | 3 | None | minneapolis | mn | target center | 10855
row 9 : january 4, 1994 | tampa bay | 1 | toronto | 0 | None | hamilton | on | copps coliseum | 17526
row 10 : january 5, 1994 | montreal | 2 | quebec | 0 | None | phoenix | az | america west arena | 11393
row 11 : january 6, 1994 | st. louis | 2 | hartford | 1 | None | cleveland | oh | richfield coliseum | 6956
row 12 : january 17, 1994 | detroit | 6 | tampa bay | 3 | None | minneapolis | mn | target center | 8764
row 13 : january 23, 1994 | vancouver | 5 | edmonton | 4 | (ot) | saskatoon | sk | saskplace | None
row 14 : january 24, 1994 | calgary | 3 | los angeles | 3 | (ot) | phoenix | az | america west arena | 14864
row 15 : february 2, 1994 | washington | 5 | philadelphia | 2 | None | cleveland | oh | richfield coliseum | 8312
row 16 : february 8, 1994 | san jose | 4 | chicago | 3 | None | sacramento | ca | arco arena | 14182
row 17 : february 22, 1994 | florida | 3 | winnipeg | 2 | None | hamilton | on | copps coliseum | 6291
row 18 : february 24, 1994 | detroit | 3 | hartford | 0 | None | cleveland | oh | richfield coliseum | 11621
row 19 : march 8, 1994 | chicago | 3 | anaheim | 0 | None | phoenix | az | america west arena | 13847
row 20 : march 9, 1994 | ny rangers | 7 | washington | 5 | None | halifax | ns | halifax metro centre | 9200
row 21 : march 18, 1994 | buffalo | 2 | ny islanders | 2 | (ot) | minneapolis | mn | target center | 8016 ] Execute this SQL based on the above table: select attendance where date = 'november 18, 1993' and winning team = 'ny islanders' | 17008 |
[ header: year | national champion | score | runner-up | host or site row 1 : 2001 | ucla | 5-4 | stanford | stanford university, avery aquatic center
row 2 : 2002 | stanford | 8-4 | ucla | usc, mcdonald'
row 3 : 2003 | ucla (2) | 4-3 | stanford | uc san diego, canyon
row 4 : 2004 | usc | 10-8 | loyola marymount | stanford university, avery aquatic center
row 5 : 2005 | ucla (3) | 3-2 | stanford | university of michigan, canham nat
row 6 : 2006 | ucla (4) | 9-8 | usc | uc davis, schaal
row 7 : 2007 | ucla (5) | 5-4 | stanford | long beach state, joint forces training base, los
row 8 : 2008 | ucla (6) | 6-3 | usc | stanford university, avery aquatic center
row 9 : 2009 | ucla (7) | 5-4 | usc | university of maryland, eppley recreation
row 10 : 2010 | usc (2) | 10-9 | stanford | san diego state, az
row 11 : 2011 | stanford (2) | 9-5 | california | university of michigan, canham nat
row 12 : 2012 | stanford (3) | 6-4 | usc | san diego state, az
row 13 : 2013 | usc (3) | 10-9 5ot | stanford | harvard university, blodget
row 14 : 2014 | None | None | None | usc, uytengsu ] Execute this SQL based on the above table: select runner-up group by runner-up having min ( year ) > 1179 | california, loyola marymount, stanford, ucla, usc |
[ header: date | opponent | score | result | record row 1 : may 19 | san antonio | 81-72 | win | 1-0
row 2 : may 23 | @ seattle | 87-100 | loss | 1-1
row 3 : may 25 | houston | 111-85 | win | 2-1
row 4 : may 29 | sacramento | 76-75 | win | 3-1
row 5 : may 31 | @ san antonio | 97-85 | win | 4-1
row 6 : june 5 | minnesota | 85-90 | loss | 4-4
row 7 : june 7 | chicago | 80-66 | win | 5-4
row 8 : june 9 | @ sacramento | 74-70 | win | 6-4
row 9 : june 13 | @ washington | 69-86 | loss | 6-5
row 10 : june 15 | @ indiana | 89-78 | win | 7-5
row 11 : june 20 | washington | 101-106 | loss | 7-6
row 12 : june 22 | detroit | 84-87 | loss | 7-7
row 13 : june 24 | houston | 90-85 | win | 8-7
row 14 : june 30 | @ houston | 92-75 | win | 9-7
row 15 : july 3 | @ minnesota | 95-79 | win | 10-7
row 16 : july 8 | @ detroit | 82-111 | loss | 11-8
row 17 : july 11 | san antonio | 77-87 | loss | 11-9
row 18 : july 20 | los angeles | 77-87 | loss | 12-10
row 19 : july 22 | minnesota | 106-93 | win | 13-10
row 20 : july 27 | @ chicago | 98-96 | win | 15-10
row 21 : july 29 | indiana | 80-75 | win | 16-10
row 22 : july 31 | @ houston | 76-74 | win | 17-10
row 23 : august 2 | @ san antonio | 84-79 | win | 18-10
row 24 : august 4 | @ seattle | 101-111 | loss | 18-11
row 25 : august 7 | @ los angeles | 96-93 | win | 19-11
row 26 : august 9 | new york | 97-86 | win | 20-11
row 27 : august 11 | los angeles | 100-83 | win | 21-11
row 28 : august 17 | @ sacramento | 101-91 | win | 22-11
row 29 : august 19 | sacramento | 87-73 | win | 23-11
row 30 : august 24 (first round, game 1) | @ seattle | 101-84 | win | 1-0
row 31 : august 26 (first round, game 2) | seattle | 95-89 | win | 2-0
row 32 : august 30 (west finals, game 1) | @ san antonio | 102-100 | win | 3-0
row 33 : september 1 (west finals, game 2) | san antonio | 98-92 | win | 4-0
row 34 : september 5 (wnba finals | @ detroit | 100-108 | loss | 4-1
row 35 : september 8 (wnba finals | @ detroit | 98-70 | win | 5-1
row 36 : september 11 (wnba finals | detroit | 83-88 | loss | 5-2
row 37 : september 13 (wnba finals | detroit | 77-76 | win | 6-2
row 38 : september 15 (wnba finals | @ detroit | 108-92 | win | 7-2 ] Execute this SQL based on the above table: select score order by id asc limit 1 | 81-72 |
[ header: capacitor type | capacity | volts | temp. | energy-to-weight ratio | power-to-weight ratio row 1 : act premlis lithium ion capacitor | 2000 f | 4.0 v | 25 °c | 54 kj/kg to 2.0 v | 44.4 w/kg @ 5 a
row 2 : act premlis lithium ion capacitor | 2000 f | 4.0 v | 25 °c | 31 kj/kg to 2.0 v | 850 w/kg @ 10 a
row 3 : nesccap electric double-layer capacitor | 5000 f | 2.7 v | 25 °c | 19.58 kj/kg to 1.35 | 5.44 w/kg c/1 (
row 4 : nesccap electric double-layer capacitor | 5000 f | 2.7 v | 25 °c | 5.2 kj/kg to 1.35 | 5,200 w/kg @ 2,547
row 5 : eestor eesu bar | 30.693 f | 3500 v | 85 °c | 1471.98 kj/kg | 80.35 w/kg c/5
row 6 : eestor eesu bar | 30.693 f | 3500 v | 85 °c | 1471.98 kj/kg | 8,035 w∕kg 20 c
row 7 : general atomics 3330cmx22 | 20.5 mf | 3300 v | None | 2.3 kj/kg | 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select count ( energy-to-weight ratio ) where capacity > 456 | 4 |
[ header: location | name of mill and grid reference | type | maps | first mention or built | last mention or demise row 1 : chesfield | None | post | None | 1318 | 1372
row 2 : chesfield | chesfield park | titt iron wind engine | None | 1896 | None
row 3 : cheshunt | tl 317 036 | post | None | 1843 | demolished c. 1860
row 4 : cheshunt | goff's oak mill tl | tower | None | c. 1860 | demolished 1953
row 5 : cheshunt | turner's hill mill tl 3 | None | 1822 | 1822 | 1861
row 6 : chipperfield | tl 037 014 | post | None | 1594 | 1594
row 7 : chipperfield | tl 037 014 | smock | 1822 | 1822 | 1881, gone by 1896
row 8 : chipping | approximately tl 350 319 | post | 1720 1728 | 1720 | 1728
row 9 : clothall | approximately tl 264 326 | post | None | 1370 | 1370
row 10 : codicote | codicote heath approximately tl | smock | None | 1841 | 1855, gone by 1881
row 11 : colney heath | colney heath mill tl 205 | tower | None | 1854 | windmill world
row 12 : cottered | None | post | None | 1581 | 1581
row 13 : cromer | None | None | None | 1192 | 1576
row 14 : cromer | cromer mill tl 304 2 | post | 1720 1728 1749 1766 1800 18 | 1720 | windmill world
row 15 : croxley green | croxley green mill tq 06 | tower | None | c. 1860 | windmill world ] Execute this SQL based on the above table: select name of mill and grid reference order by last mention or demise desc limit 1 | goff's oak mill tl 317 036 |
[ header: outcome | no. | date | tournament | surface | partner | opponents in the final | score in the final row 1 : runner-up | 1 | 1972 | stockholm, sweden | hard (i) | roy emerson | tom okker marty ries | 5-7, 6-7
row 2 : runner-up | 2 | 1973 | miami wct, us | hard | terry addison | roy emerson rod laver | 4-6, 4-6
row 3 : runner-up | 3 | 1973 | richmond wct, us | carpet | terry addison | roy emerson rod laver | 6-3, 3-6, 4-6
row 4 : runner-up | 4 | 1973 | st. louis, us | carpet | terry addison | ove nils bengtson | 2-6, 5-7
row 5 : runner-up | 5 | 1973 | columbus, us | hard | charles pasarell | gerald battrick graham | 4-6, 6-7
row 6 : winner | 1 | 1973 | merion, us | grass | allan stone | john austin fred m | 7-6, 6-3
row 7 : winner | 2 | 1973 | hong kong | hard | rod laver | paul gerken brian gott | 6-3, 5-7, 17-15
row 8 : winner | 3 | 1974 | houston, us | clay | rod laver | arthur ashe roscoe t | 4-6, 7-6, 6-4
row 9 : runner-up | 7 | 1975 | orlando wct, us | hard | ray ruffels | brian gottfried raul | 4-6, 4-6
row 10 : winner | 6 | 1976 | palm springs, us | hard | sandy mayer | raymond moore erik van | 6-4, 6-7, 7-6
row 11 : winner | 7 | 1976 | palma, spain | clay | john andrews | mark edmondson john marks | 2-6, 6-3, 6-2
row 12 : runner-up | 8 | 1976 | madrid, spain | clay | john andrews | carlos kirmayr eduard | 6-7, 6-4, 6-8
row 13 : winner | 9 | 1977 | little rock, us | carpet | haroon rahim | bob hewitt frew | 6-7, 6-3, 6-3
row 14 : winner | 10 | 1977 | denver, us | carpet | geoff masters | syd ball kim warwick | 6-2, 6-3
row 15 : winner | 11 | 1977 | south orange, us | hard | wojtek fibak | ion tiriac guiller | 6-1, 7-5
row 16 : runner-up | 10 | 1978 | johannesburg, south africa | hard | geoff masters | bob hewitt frew | 5-7, 6-7
row 17 : runner-up | 11 | 1978 | newport, us | grass | bob giltinan | tim gullikson tom gul | 4-6, 4-6
row 18 : winner | 13 | 1978 | columbus, us | clay | bob giltinan | marcello lara elio | 6-2, 6-3
row 19 : runner-up | 13 | 1979 | tulsa, us | hard (i) | tom gullikson | francisco gonzalez e | 7-6, 5-7, 3-6
row 20 : runner-up | 14 | 1979 | stowe, us | hard | anand amritraj | mike cahill steve k | 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select opponents in the final where tournament = 'madrid, spain' order by outcome desc limit 1 | carlos kirmayr eduardo mandarino |
[ header: date | opponent# | rank# | site | tv | result | attendance row 1 : 9-4-2010 | miami (oh) | #4 | ben hill griffin stadium • gaine | espn | w 34-12 | 90178
row 2 : 9-11-2010 | south florida | #8 | ben hill griffin stadium • gaine | secn | w 38-14 | 90612
row 3 : 9-18-2010 | at tennessee | #10 | neyland stadium • knoxville | cbs | w 31-17 | 102455
row 4 : 9-25-2010 | kentucky | #9 | ben hill griffin stadium • gaine | espnu | w 48-14 | 90547
row 5 : 10-2-2010 | at #1 alabama | #7 | bryant-denny stadium • | cbs | l 6-31 | 101821
row 6 : 10-9-2010 | #12 lsu | #14 | ben hill griffin stadium • gaine | espn | l 29-33 | 90721
row 7 : 10-16-2010 | mississippi state | #22 | ben hill griffin stadium • gaine | espnu | l 7-10 | 90517
row 8 : 10-30-2010 | vs. georgia | None | everbank field • jacksonville, | cbs | w 34-31 ot | 84444
row 9 : 11-6-2010 | at vanderbilt | None | vanderbilt stadium • nashville | secn | w 55-14 | 33848
row 10 : 11-13-2010 | #22 south carolina | #24 | ben hill griffin stadium • gaine | espn | l 14-36 | 90885
row 11 : 11-20-2010 | appalachian state | None | ben hill griffin stadium • gaine | espn3 | w 48-10 | 90119
row 12 : 11-27-2010 | at #22 florida state | None | doak campbell stadium • tallahasse | abc | l 7-31 | 82324
row 13 : 1-1-2011 | vs. penn state | None | raymond james stadium • t | abc | w 37-24 | 60574 ] Execute this SQL based on the above table: select count ( tv ) where date - rank# < 1 | 0 |
[ header: year | place | gold | silver | bronze row 1 : 1970 | phoenix | united states of america sally carroll | soviet union nadezd | federal republic of germany ortrud f
row 2 : 1974 | thun | soviet union galina zari | czechoslovakia ter | australia judith harrison en
row 3 : 1978 | seoul | denmark kirsten broge bonnie | australia julie aitken patricia | united states of america sally carroll
row 4 : 1982 | caracas | soviet union marina dobrantcheva | hungary palma balogh mart | people's republic of china jian
row 5 : 1986 | suhl | soviet union marina dobrantcheva | france martine guepin eve | albania diana mata eman
row 6 : 1990 | moscow | soviet union yauheniy | sweden kerstin bodin | people's republic of china haiying
row 7 : 1994 | milan | people's republic of china xiaoping | korea soon hee boo | belarus zhanna shitik
row 8 : 1998 | barcelona | people's republic of china yeq | korea eun kyung | mongolia munkhbayar
row 9 : 2002 | lahti | people's republic of china luna ta | russia irina dolgat | united states of america elizabe
row 10 : 2006 | zagreb | people's republic of china ying chen | belarus liudmila | germany munkhbayar dor ] Execute this SQL based on the above table: select count ( distinct ( gold ) ) where year = 1990 | 1 |
[ header: rank | name | nationality | 1,62 | 1,67 | 1,72 | 1,75 | notes row 1 : 1 | dior delophont | france | None | o | o | o | q
row 2 : 1 | ligia grozav | romania | None | o | o | o | q
row 3 : 3 | iryna herashchenko | ukraine | None | o | xo | o | q
row 4 : 4 | lucija zupzic | croatia | o | o | o | xo | q
row 5 : 4 | chanice porter | jamaica | None | None | None | xo | q
row 6 : 6 | alexandra plaza | germany | o | xo | o | xxo | q
row 7 : 7 | nikola parilova | czech republic | o | o | o | xxx | q
row 8 : 7 | ioanna koltsid | greece | o | o | o | xxx | q
row 9 : 9 | leontia kallenou | cyprus | None | xo | xo | xxx | None
row 10 : 10 | anna pau | italy | xxo | o | xxo | xxx | None
row 11 : 11 | emily crutcher | australia | o | o | xxx | None | None
row 12 : 11 | keeley o'hagan | new zealand | o | o | xxx | None | None
row 13 : 13 | dace dreimane | latvia | xo | o | xxx | None | None
row 14 : 14 | vivien baglyos | hungary | o | xo | xxx | None | None
row 15 : 15 | thea lafond | dominica | xo | xxx | None | None | None ] Execute this SQL based on the above table: select nationality order by rank desc limit 1 | dominica |
[ header: material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural)
row 2 : glasses | silica with pb, al, | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 -
row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947
row 4 : spinel | mgo·al2o3 | 1.727 | 0.02 | 8 | ~ 3.6 | poor | 1920-1947
row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955
row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970
row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975
row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975
row 9 : cubic zirconia | zro2(+ rare earths | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 -
row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 -
row 11 : quartz | silica | 1.543 - 1.554 | None | 7- | 2.50 - 2.65 | None | ancient ] Execute this SQL based on the above table: select refractive index(es) 589.3 nm where formula = 'srtio3' | 2.41 |
[ header: team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44
row 2 : michigan state | 12 | 13 | 11 | 4 | 40
row 3 : michigan tech | 10 | 13 | 10 | 16 | 49
row 4 : western michigan | 2 | 1 | 0 | 1 | 4
row 5 : north dakota | 2 | 1 | 0 | 1 | 4
row 6 : toronto | 1 | 0 | 0 | 0 | 1
row 7 : new hampshire | 1 | 0 | 1 | 0 | 2
row 8 : colorado college | 1 | 1 | 0 | 1 | 3
row 9 : wisconsin | 1 | 1 | 1 | 0 | 3
row 10 : boston college | 1 | 0 | 3 | 0 | 4
row 11 : notre dame | 1 | 0 | 0 | 3 | 4
row 12 : boston university | 1 | 0 | 4 | 0 | 5
row 13 : harvard | 1 | 0 | 2 | 2 | 5
row 14 : maine | 0 | 1 | 0 | 0 | 1
row 15 : ohio state | 0 | 1 | 0 | 0 | 1
row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2
row 17 : lake superior state | 0 | 1 | 1 | 1 | 3
row 18 : northern michigan | 0 | 1 | 2 | 2 | 5
row 19 : colgate | 0 | 0 | 1 | 0 | 1
row 20 : dartmouth | 0 | 0 | 1 | 0 | 1
row 21 : providence | 0 | 0 | 1 | 0 | 1
row 22 : brown | 0 | 0 | 1 | 1 | 2
row 23 : cornell | 0 | 0 | 0 | 1 | 1
row 24 : princeton | 0 | 0 | 0 | 1 | 1
row 25 : st lawrence | 0 | 0 | 0 | 1 | 1
row 26 : yale | 0 | 0 | 0 | 1 | 1
row 27 : bowling green | 0 | 0 | 0 | 2 | 2
row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2
row 29 : western ontario | 0 | 0 | 0 | 2 | 2 ] Execute this SQL based on the above table: select count ( team ) where team not null and team not null | 29 |
[ header: rank | swimmer | country | time | note row 1 : 1 | claudia poll | costa rica | 57.43 | q
row 2 : 2 | vanessa garcia | puerto rico | 57.95 | q
row 3 : 3 | arlene semeco | venezuela | 58.11 | q
row 4 : 4 | heysi villarreal | cuba | 58.67 | q
row 5 : 5 | mariana alvarado | mexico | 58.69 | q
row 6 : 6 | carolina moreno | mexico | 59.11 | q
row 7 : 7 | isabella tafur | colombia | 59.7 | q
row 8 : 8 | ximena maria vilar | venezuela | 59.79 | q
row 9 : 9 | nikia hillarie | bahamas | 59.92 | None
row 10 : 10 | sharon fajardo | honduras | 1:00.45 | None
row 11 : 11 | maria alvarez | colombia | 1:00.76 | None
row 12 : 12 | alia atkinson | jamaica | 1:01.17 | None
row 13 : 13 | alexis jordan | barbados | 1:01.79 | None
row 14 : 14 | sharntelle mclean | trinidad and tobago | 1:03.26 | None
row 15 : 15 | jennifer powell | cayman islands | 1:03.41 | None
row 16 : 16 | nishani cicilson | suriname | 1:03.88 | None
row 17 : 17 | sade daal | suriname | 1:04.70 | None
row 18 : 18 | dalia torrez | nicaragua | 1:05.69 | None
row 19 : None | gisela morales | guatemala | dns | None
row 20 : None | alana dillette | bahamas | dns | None
row 21 : None | pamela benitez | el salvador | dns | None
row 22 : None | nilshaira isenia | netherlands antilles | dns | None ] Execute this SQL based on the above table: select note where rank >= 5 order by rank asc limit 1491 | q, q, q, q |
[ header: game | day | date | kickoff | opponent | results score | results record | location | attendance row 1 : 1 | saturday | november 9 | 7:05pm | at detroit waza | w 8-7 (ot) | 1-0 | melvindale civic center | 545
row 2 : 2 | sunday | november 10 | 3:05pm | at cleveland freeze | l 3-11 | 1-1 | soccer sportsplex | 703
row 3 : 3 | saturday | november 16 | 7:35pm | detroit waza | l 5-8 | 1-2 | farm show arena | 1605
row 4 : 4 | saturday | november 23 | 7:05pm | cleveland freeze | l 7-10 | 1-3 | farm show arena | 1050
row 5 : 5 | saturday | november 30 | 7:05pm | cincinnati saints | w 8-6 | 2-3 | farm show arena | 1458
row 6 : 6 | saturday | december 21 | 7:05pm | detroit waza | w 9-8 | 3-3 | farm show arena | 1590
row 7 : 7 | sunday | december 22 | 4:05pm | at cleveland freeze | l 4-12 | 3-4 | soccer sportsplex | 431
row 8 : 8 | saturday | december 28 | 7:05pm | cleveland freeze | l 5-12 | 3-5 | farm show arena | 1581
row 9 : 9 | saturday | january 11 | 7:35pm | at cincinnati saints | l 8-9 | 3-6 | tri-county soccerplex | 421
row 10 : 10 | sunday | january 12 | 3:05pm | at detroit waza | l 6-12 | 3-7 | melvindale civic center | 356
row 11 : 11 | saturday | january 18 | 7:05pm | cincinnati saints | w 10-5 | 4-7 | farm show arena | 2209
row 12 : 12 | friday | january 24 | 7:05pm | chicago mustangs | l 7-13 | 4-8 | farm show arena | 1895
row 13 : 13 | saturday | january 25 | 7:05pm | chicago mustangs | l 5-12 | 4-9 | farm show arena | 2373
row 14 : 14 | saturday | february 8 | 8:35pm | at illinois piasa | l 3-4 | 4-10 | the field sports complex | 206
row 15 : 15 | sunday | february 9 | 5:05pm | at chicago mustangs | l 3-14 | 4-11 | grand sports arena | 748
row 16 : 16 | sunday | february 16 | 4:05pm | at dallas sidekicks | l 3-13 | 4-12 | allen event center | 4207 ] Execute this SQL based on the above table: select day where game = 2 | sunday |
[ header: date | opponent | venue | result | attendance | scorers row 1 : 15 august 1987 | derby county | away | 0-1 | 17204 | None
row 2 : 18 august 1987 | coventry city | home | 0-1 | 9380 | None
row 3 : 22 august 1987 | west ham united | home | 2-2 | 8073 | harford (2)
row 4 : 29 august 1987 | chelsea | away | 0-3 | 16075 | None
row 5 : 31 august 1987 | arsenal | home | 1-1 | 8745 | wilson (pen)
row 6 : 5 september 1987 | oxford united | away | 5-2 | 6804 | breacker, harford, hill
row 7 : 12 september 1987 | everton | home | 2-1 | 8124 | hill, b. stein
row 8 : 19 september 1987 | charlton athletic | away | 0-1 | 5002 | None
row 9 : 26 september 1987 | queens park rangers | away | 0-2 | 11175 | None
row 10 : 3 october 1987 | manchester united | home | 1-1 | 9137 | harford
row 11 : 10 october 1987 | portsmouth | away | 1-3 | 12391 | harford (pen)
row 12 : 17 october 1987 | wimbledon | home | 2-0 | 7018 | b. stein, wilson
row 13 : 24 october 1987 | liverpool | home | 0-1 | 11997 | None
row 14 : 7 november 1987 | newcastle united | home | 4-0 | 7638 | nwajiobi, b.
row 15 : 5 december 1987 | norwich city | home | 1-2 | 7002 | b. stein
row 16 : 12 december 1987 | watford | away | 1-0 | 12152 | foster
row 17 : 26 december 1987 | everton | away | 0-2 | 32128 | None
row 18 : 28 december 1987 | charlton athletic | home | 1-0 | 7243 | wilson
row 19 : 1 january 1988 | chelsea | home | 3-0 | 8018 | harford, b. stein,
row 20 : 2 january 1988 | west ham united | away | 1-1 | 16716 | m. stein
row 21 : 6 february 1988 | oxford united | home | 7-4 | 8063 | harford (2), mcdonough
row 22 : 13 february 1988 | arsenal | away | 1-2 | 22612 | m.stein
row 23 : 5 march 1988 | wimbledon | away | 0-2 | 4854 | None
row 24 : 15 march 1988 | coventry city | away | 0-4 | 13711 | None
row 25 : 29 march 1988 | portsmouth | home | 4-1 | 6740 | b.stein, m.stein,
row 26 : 2 april 1988 | newcastle united | away | 0-4 | 20752 | None
row 27 : 5 april 1988 | sheffield wednesday | home | 2-2 | 7337 | mcdonough, b.
row 28 : 12 april 1988 | manchester united | away | 0-3 | 28830 | None
row 29 : 19 april 1988 | queens park rangers | home | 2-1 | 6735 | foster, wilson (pen)
row 30 : 30 april 1988 | norwich city | away | 2-2 | 13171 | m. stein, wilson
row 31 : 4 may 1988 | tottenham hotspur | away | 1-2 | 15437 | grimes
row 32 : 9 may 1988 | liverpool | away | 1-1 | 30374 | oldfield ] Execute this SQL based on the above table: select count ( opponent ) where attendance >= 1718 and attendance > 5002 | 30 |
[ header: year | vidhan sabha | members of legislative assembly | winning party | nearest contesting party row 1 : 1951 | 01st vidhan sab | shri hari prasad | sop | inc
row 2 : 1957 | 02nd vidhan sabha | shri bhihari lal | psp | inc
row 3 : 1962 | 03rd vidhan sab | shri durga prasad | inc | psp
row 4 : 1967 | 04th vidhan sabha | shri munendra pal singh | psp | bjs
row 5 : 1969 | 05th vidhan sab | shri tej bhah | bkd | bjs
row 6 : 1974 | 06th vidhan sabha | shri tej bhah | inc | bjs
row 7 : 1977 | 07th vidhan sabha | shri munendra pal singh | jnp | inc
row 8 : 1980 | 08th vidhan sabha | shri tej bhah | inc | jnp
row 9 : 1985 | 09th vidhan sabha | shri tej bhah | inc | jnp
row 10 : 1989 | 10th vidhan sabha | shri harish kumar | jnp | bjp
row 11 : 1991 | 11th vidhan sabha | shri ram saran verm | bjp | inc
row 12 : 1993 | 12th vidhan sabha | shri ram saran verm | bjp | inc
row 13 : 1996 | 13th vidhan sabha | shri anish ahemd k | bsp | bjp
row 14 : 2002 | 14th vidhan sabha | shri anish ahemd k | bsp | bjp
row 15 : 2007 | 15th vidhan sabha | shri anish ahemd k | bsp | bjp
row 16 : 2012 | 16th vidhan sabha | shri ram saran verm | bjp | inc ] Execute this SQL based on the above table: select year order by year desc limit 1 | 2012 |
[ header: staple: | maize / corn | rice | wheat | potato | cassava | soybean (green) | sweet potato | sorghum | yam | plantain row 1 : component (per 100g portion) | amount | amount | amount | amount | amount | amount | amount | amount | amount | amount
row 2 : water (g) | 10 | 12 | 13 | 79 | 60 | 68 | 77 | 9 | 70 | 65
row 3 : energy (kj) | 1528 | 1528 | 1369 | 322 | 670 | 615 | 360 | 1419 | 494 | 511
row 4 : protein (g) | 9.4 | 7.1 | 12.6 | 2 | 1.4 | 13 | 1.6 | 11.3 | 1.5 | 1.3
row 5 : fat (g) | 4.74 | 0.66 | 1.54 | 0.09 | 0.28 | 6.8 | 0.05 | 3.3 | 0.17 | 0.37
row 6 : carbohydrates (g) | 74 | 80 | 71 | 17 | 38 | 11 | 20 | 75 | 28 | 32
row 7 : fiber (g) | 7.3 | 1.3 | 12.2 | 2.2 | 1.8 | 4.2 | 3 | 6.3 | 4.1 | 2.3
row 8 : sugar (g) | 0.64 | 0.12 | 0.41 | 0.78 | 1.7 | 0 | 4.18 | 0 | 0.5 | 15
row 9 : calcium (mg) | 7 | 28 | 29 | 12 | 16 | 197 | 30 | 28 | 17 | 3
row 10 : iron (mg) | 2.71 | 0.8 | 3.19 | 0.78 | 0.27 | 3.55 | 0.61 | 4.4 | 0.54 | 0.6
row 11 : phosphorus (mg) | 210 | 115 | 288 | 57 | 27 | 194 | 47 | 287 | 55 | 34
row 12 : sodium (mg) | 35 | 5 | 2 | 6 | 14 | 15 | 55 | 6 | 9 | 4
row 13 : zinc (mg) | 2.21 | 1.09 | 2.65 | 0.29 | 0.34 | 0.99 | 0.3 | 0 | 0.24 | 0.14
row 14 : copper (mg) | 0.31 | 0.22 | 0.43 | 0.11 | 0.1 | 0.13 | 0.15 | None | 0.18 | 0.08
row 15 : manganese (mg) | 0.49 | 1.09 | 3.99 | 0.15 | 0.38 | 0.55 | 0.26 | None | 0.4 | None
row 16 : selenium (μg) | 15.5 | 15.1 | 70.7 | 0.3 | 0.7 | 1.5 | 0.6 | 0 | 0.7 | 1.5
row 17 : vitamin c (mg) | 0 | 0 | 0 | 19.7 | 20.6 | 29 | 2.4 | 0 | 17.1 | 18.4
row 18 : thiamin (mg) | 0.39 | 0.07 | 0.3 | 0.08 | 0.09 | 0.44 | 0.08 | 0.24 | 0.11 | 0.05
row 19 : riboflavin (mg) | 0.2 | 0.05 | 0.12 | 0.03 | 0.05 | 0.18 | 0.06 | 0.14 | 0.03 | 0.05
row 20 : pantothenic acid (mg) | 0.42 | 1.01 | 0.95 | 0.3 | 0.11 | 0.15 | 0.8 | None | 0.31 | 0.26
row 21 : vitamin b6 (mg) | 0.62 | 0.16 | 0.3 | 0.3 | 0.09 | 0.07 | 0.21 | None | 0.29 | 0.3
row 22 : folate total (μg) | 19 | 8 | 38 | 16 | 27 | 165 | 11 | 0 | 23 | 22
row 23 : vitamin a (iu) | 214 | 0 | 9 | 2 | 13 | 180 | 14187 | 0 | 138 | 1127 ] Execute this SQL based on the above table: select staple: where staple: in ( 'carbohydrates (g)' , 'selenium (μg)' ) group by staple: order by count ( staple: ) desc limit 1 | selenium (μg) |
[ 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 position where no. = 9 and player = 'adam graves' | lw |
[ header: season | club | country | competition | apps. | goals row 1 : 1997/98 | rapide club lebbeke | belgium | fourth division | None | None
row 2 : 1998/99 | ksc eendracht a | belgium | jupiler league | 30 | 7
row 3 : 1999/00 | ksc eendracht a | belgium | jupiler league | 31 | 7
row 4 : 2000/01 | ksc eendracht a | belgium | jupiler league | 30 | 6
row 5 : 2001/02 | omonia nicosia | cyprus | cypriot first division | 22 | 8
row 6 : 2002/03 | fc denderleeuw | belgium | belgian second division | 32 | 23
row 7 : 2003/04 | 1. fc saarbrucken | germany | regionalliga sud | 33 | 16
row 8 : 2004/05 | 1. fc saarbrucken | germany | 2. bundesliga | 14 | 7
row 9 : 2005/06 | 1. fc saarbrucken | germany | 2. bundesliga | 10 | 0
row 10 : 2005/06 | s.v. zulte | belgium | jupiler league | 14 | 1
row 11 : 2006/07 | fcv dender eh | belgium | belgian second division | 33 | 21
row 12 : 2007/08 | mvv | netherlands | eerste divisie | 33 | 22
row 13 : 2008/09 | mvv | netherlands | eerste divisie | 32 | 20
row 14 : total | None | None | None | 302 | 132 ] Execute this SQL based on the above table: select club where id = ( select id where club = 'mvv' ) + 1 | mvv |
[ header: year | laureate | relation | category | rationale row 1 : 1922 | otto fritz meyerhof | research professor in physiological chemistry, 1940-1951 | physiology or medicine | "for his discovery of the fixed relationship between the
row 2 : 1955 | vincent du vigneaud | assistant in biochemistry, graduate school of medicine, | chemistry | "for his work on sulphur compounds
row 3 : 1964 | martin luther king | graduate student, 1950-51 | nobel peace prize | for being "the first person in the western world
row 4 : 1967 | ragnar granit | research fellow, 1929-1931; sc | physiology or medicine | "for their discoveries concerning the primary physiological and chemical
row 5 : 1971 | simon kuznets | assistant professor of economic statistics, 1930-1934; | economics | "for his empirically founded interpretation of economic growth
row 6 : 1985 | michael stuart brown | a.b., 1962; m | physiology or medicine | "for their discoveries concerning the regulation of cholesterol metabolism
row 7 : 2000 | alan macdiarmid | department of chemistry, 1955- ; blanc | chemistry | "for their discovery and development of conductive poly
row 8 : 2000 | hideki shirakawa | department of chemistry, post-doctoral | chemistry | "for their discovery and development of conductive poly
row 9 : 2004 | edward c. prescott | assistant professor, 1967-1971 | economics | "for their contributions to dynamic macroeconomics:
row 10 : 2006 | edmund phelps | professor, 1966-1971 | economics | "for his analysis of intertemporal tradeoff
row 11 : 2009 | george e. smith | b.s., 1955 | physics | "for the invention of an imaging semiconductor circuit
row 12 : 2009 | oliver e. williamson | professor, 1965-1983 | economics | "for his analysis of economic governance, especially the
row 13 : 2010 | ei'ichi negishi | ph.d., 1963 | chemistry | "for palladium-catalyze
row 14 : 2011 | thomas j. sargent | professor, 1970-1971 | economics | "for their empirical research on cause and effect in ] Execute this SQL based on the above table: select laureate where year = 1967 | ragnar granit |
[ header: # | name | office | political party | occupation row 1 : 1 | ole olsen strø | 1886-1901 | None | church bell ringer
row 2 : 2 | peder olai kleppe | 1902-1919 | None | fisherman
row 3 : 3 | olai naustheller | 1920-1925 | None | farmer
row 4 : 4 | mikkel nilsen birkel | 1926-1935 | None | farmer
row 5 : 5 | magnus larssen | 1935-1937 | None | school teacher
row 6 : 6 | salomon o. fagerbak | 1938-1945 | None | fisherman
row 7 : 7 | salomon v. kalvenes | 1946-1959 | None | fisherman
row 8 : 8 | rikard s. storebø | 1960-1969 | liberal party | social security manager
row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot
row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal
row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer
row 12 : 12 | hallvard møgster | 1986-1989 | christian democratic party | captain
row 13 : 13 | inge bjarne storeb | 1990-2001 | conservative party | bank manager
row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster
row 15 : 15 | helge andre njasta | 2003- | progress party | student ] Execute this SQL based on the above table: select name where id = 1 | ole olsen strømme |
[ header: year | competition | venue | position | event | notes row 1 : 2001 | beijing marathon | beijing, pr china | 7th | marathon | 2:10:46
row 2 : 2002 | beijing marathon | beijing, pr china | 1st | marathon | 2:13:09
row 3 : 2004 | olympic games | athens, greece | 31st | marathon | 2:19:26
row 4 : 2007 | xiamen international marathon | xiamen, pr china | 1st | marathon | 2:13:17
row 5 : 2007 | world championships | osaka, japan | 43rd | marathon | 2:32:44
row 6 : 2008 | olympic games | beijing, pr china | 51st | marathon | 2:24:08 ] Execute this SQL based on the above table: select count ( * ) where competition = 'xiamen international marathon' | 1 |
[ 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 count ( role ) where year >= 1990 | 25 |
[ header: year | title | role | notes row 1 : 2014 | and so it goes | producer | starring michael douglas and
row 2 : 2011 | flypaper | producer | starring patrick dempsey and
row 3 : 2007 | captivity | producer | None
row 4 : 2006 | o jerusalem | producer | None
row 5 : 2005 | the upside of anger | executive producer | starring kevin costner and jo
row 6 : 2004 | beyond the sea | executive producer | starring kevin spacey
row 7 : 2004 | the i inside | producer | None
row 8 : 2003 | monster | producer | starring charlize theron academy
row 9 : 2003 | 11:14 | executive producer | None
row 10 : 2002 | extreme ops | executive producer | None
row 11 : 2001 | the musketeer | executive producer | None
row 12 : 2001 | the body | executive producer | None
row 13 : 1997 | the blackout | executive producer | None
row 14 : 1996 | the winner | executive producer | None
row 15 : 1993 | stalingrad | executive producer | None
row 16 : 1991 | diary of a hitman | executive producer | None
row 17 : 1990 | vietnam, texas | executive producer | None
row 18 : 1989 | wild orchid | producer | starring mickey rourke
row 19 : 1988 | high spirits | executive producer | None
row 20 : 1988 | mac and me | executive producer | None
row 21 : 1986 | flight of the navigator | executive producer | None
row 22 : 1986 | short circuit | executive producer | None
row 23 : 1986 | 9 1/2 weeks | producer | starring mickey rourke and
row 24 : 1984 | metropolis | sales agent | directed by fritz lang
row 25 : 1984 | the neverending story | executive producer | directed by wolfgang petersen
row 26 : 1977 | the choirboys | executive producer | None
row 27 : 1974 | there is no 13 | george thomas | None
row 28 : 1973 | "hannah, queen of the vampires" | peter | None
row 29 : 1973 | the devil's wedding night | karl schiller | None
row 30 : 1973 | little mother | riano | None
row 31 : 1972 | byleth - il demone de | duke lionello shandwell | None
row 32 : 1972 | i leoni di pietroburgo | eldar | None
row 33 : 1972 | confessioni segrete di un convento di | domenico | None
row 34 : 1972 | they call him veritas | veritas | None
row 35 : 1971 | l'arciere di fuoco | allen | None
row 36 : 1971 | pistol packin' preacher | slim | None
row 37 : 1968 | dead men don't count | johnny dalton | None
row 38 : 1967 | requiescant | george ferguson | also starring pier paolo pas
row 39 : 1966 | johnny oro | johnny oro/ringo | directed by sergio corbucci
row 40 : 1964 | son of cleopatra | el kebir | None
row 41 : 1964 | i cento cavalieri | don fernando herrera y | None
row 42 : 1963 | the tyrant of castile | pietro i: re di castigl | None
row 43 : 1963 | the young racers | stephen children | directed by roger corman
row 44 : 1962 | the reluctant saint | aldo | directed by edward dmytry
row 45 : 1962 | the longest day | pvt. harris | also starring richard burton and se
row 46 : 1962 | beauty and the beast | eduardo | None ] Execute this SQL based on the above table: select notes where notes != 'starring kevin spacey' and role = ( select role where notes = 'starring kevin spacey' and role = 'executive producer' ) | starring kevin costner and joan allen, directed by wolfgang petersen |
[ header: result | record | opponent | method | date | round | time | event | location | notes row 1 : win | 14-1 | ted lascalza | ko | 1958 | 1 | None | None | None | None
row 2 : win | None | nick welling | ko | july 20, 1953 | 2 | None | None | None | None
row 3 : win | None | earl garrett | ko | 1950 | 1 | None | golden gloves | new jersey | scheider suffers nose injury; drops out
row 4 : win | None | peter read | ko | 1950 | 3 | None | None | new jersey | None
row 5 : win | None | phillip duncan | ko | february 17, 1950 | 1 | None | None | orange, new jersey | None
row 6 : win | None | myron greenberg | ko | 1950 | 1 | None | None | new jersey | None
row 7 : win | None | peter read | ko | february 21, 1948 | 2 | None | golden gloves | new jersey | None
row 8 : win | None | jerry gould | ko | 1948 | 1 | 0:33 | golden gloves | new jersey | None
row 9 : win | None | alfonse d'amore | ko | 1948 | 1 | 0:16 | golden gloves | new jersey | None
row 10 : loss | 0-1 | myron greenberg | tko | march 5, 1947 | 2 | None | golden gloves | new jersey | scheider's nose is broken ] Execute this SQL based on the above table: select count ( * ) where opponent = '1' | 0 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | nigeria | 14 | 12 | 9 | 35
row 2 : 2 | algeria | 9 | 4 | 4 | 17
row 3 : 3 | kenya | 8 | 11 | 4 | 23
row 4 : 4 | ethiopia | 2 | 4 | 7 | 13
row 5 : 5 | ghana | 2 | 2 | 2 | 6
row 6 : 6 | ivory coast | 2 | 1 | 3 | 6
row 7 : 7 | egypt | 2 | 1 | 0 | 3
row 8 : 8 | senegal | 1 | 1 | 5 | 7
row 9 : 9 | morocco | 1 | 1 | 1 | 3
row 10 : 10 | tunisia | 0 | 3 | 1 | 4
row 11 : 11 | madagascar | 0 | 1 | 1 | 2
row 12 : 12 | rwanda | 0 | 0 | 1 | 1
row 13 : 12 | zimbabwe | 0 | 0 | 1 | 1
row 14 : 12 | seychelles | 0 | 0 | 1 | 1 ] Execute this SQL based on the above table: select rank where bronze = 0 order by total desc limit 1 | 7 |
[ header: city 2010 census | chinese | built-up area | urban area | level | administrative area | province-level division | remarks row 1 : suzhou | 苏州 | shanghai | 5349090 | prefecture-level city | 10465994 | jiangsu | None
row 2 : yangzhou | 扬州 | 2399079 | 2399079 | prefecture-level city | 4459760 | jiangsu | None
row 3 : huizhou | 惠州 | guangzhou | 2344507 | prefecture-level city | 4597002 | guangdong | 2 urban districts part of guangzhou-
row 4 : baotou | 包头 | 2034996 | 2070801 | prefecture-level city | 2650364 | inner mongolia | shiguai urban district not yet urban
row 5 : jilin city | 吉林市 | 1975803 | 1975803 | prefecture-level city | 4414681 | jilin | None
row 6 : cixi | 慈溪 | 1462383 | 1462383 | county-level city | ningbo | zhejiang | None
row 7 : datong | 大同 | 1447550 | 1570035 | prefecture-level city | 3318057 | shanxi | None
row 8 : panjin | 盘锦 | 1392493 | 666205 | prefecture-level city | 1392493 | liaoning | incl. 2 urban districts plus d
row 9 : fushun | 抚顺 | shenyang | 1356987 | prefecture-level city | 2138090 | liaoning | None
row 10 : yingkou | 营口 | 1351519 | 738128 | prefecture-level city | 2428534 | liaoning | incl. dashiqia
row 11 : xining | 西宁 | 1198304 | 1198304 | prefecture-level city provincial capital | 2208708 | qinghai | None
row 12 : tianshui | 天水 | 1197174 | 1197174 | prefecture-level city | 3262548 | gansu | None
row 13 : taixing | 泰兴市 | 1192213 | 1192213 | county-level city | taizhou | jiangsu | None
row 14 : qujing | 曲靖 | 1171805 | 740925 | prefecture-level city | 5855055 | yunnan | incl. zhanyi county
row 15 : jining | 济宁 | 1115300 | 1115300 | prefecture-level city | 8081900 | shandong | None
row 16 : jinhua | 金华 | 1077300 | 1077300 | prefecture-level city | 5361600 | zhejiang | None
row 17 : pingdingshan | 平顶山 | 1033975 | 1033975 | prefecture-level city | 4904367 | henan | None
row 18 : qiqihar | 齐齐哈尔 | 979517 | 1481637 | prefecture-level city | 5611000 | heilongjiang | incl. longsha, j
row 19 : bengbu | 蚌埠 | 972784 | 972784 | prefecture-level city | 3164467 | anhui | None
row 20 : danyang | 丹阳市 | 960418 | 960418 | county-level city | zhenjiang | jiangsu | None
row 21 : wuchuan | 吴川 | 947499 | 947499 | county-level city | zhanjiang | guangdong | None ] Execute this SQL based on the above table: select province-level division order by administrative area limit 1 | zhejiang |
[ header: # | title | english translation | original album | length row 1 : 1 | mimpi yang sempurn | a perfect dream | kisah 2002 malam | 4:30
row 2 : 2 | bintang di surga | stars in the heaven | bintang di surga | None
row 3 : 3 | aku dan bintang | the stars and me | taman langit | 3:39
row 4 : 4 | jauh mimpiku | distant dreams of mine | ost. alexandria | None
row 5 : 5 | hari yang cerah un | a bright day for a lonely soul | hari yang cerah | 3:59
row 6 : 6 | menunggu pagi | waiting for dawn | ost. alexandria | None
row 7 : 7 | khayalan tingkat ting | high-level imagination | bintang di surga | None
row 8 : 8 | sahabat | best friend | taman langit | 4:33
row 9 : 9 | sally sendiri | sally alone | hari yang cerah | 4:17
row 10 : 10 | langit tak mendengar | the sky didn't listen | ost. alexandria | None
row 11 : 11 | di belakangku | behind me | bintang di surga | None
row 12 : 12 | kita tertawa | we laugh | taman langit | 3:29
row 13 : 13 | membebaniku | burdening me | ost. alexandria | 4:25
row 14 : 14 | cobalah mengerti | try to understand | hari yang cerah | 3:30
row 15 : 15 | topeng | mask | taman langit | 4:25 ] Execute this SQL based on the above table: select english translation order by # desc limit 1 | mask |
[ header: season | date | location | discipline | place row 1 : 2007 | 18 mar 2007 | lenzerheide, switze | giant slalom | 2nd
row 2 : 2009 | 10 jan 2009 | maribor, slovenia | giant slalom | 3rd
row 3 : 2010 | 28 nov 2009 | aspen, usa | giant slalom | 1st
row 4 : 2010 | 28 dec 2009 | lienz, austria | giant slalom | 1st
row 5 : 2010 | 24 jan 2010 | cortina d'ampezzo | giant slalom | 3rd
row 6 : 2010 | 11 mar 2010 | garmisch, germany | giant slalom | 2nd
row 7 : 2011 | 23 oct 2010 | solden, austria | giant slalom | 2nd
row 8 : 2011 | 27 nov 2010 | aspen, usa | giant slalom | 3rd
row 9 : 2011 | 28 dec 2010 | semmering, austria | giant slalom | 3rd ] Execute this SQL based on the above table: select date group by date order by count ( date ) desc limit 1 | 28 nov 2009 |
[ header: choke | constriction (inch) | percentage of lead shot in 30-inch circle at 40 yards | identification (notches) | identification (stars) (spanish shotguns) row 1 : cylinder | 0 | 40 at 40 yd 70 at 25 | 5 | 5
row 2 : skeet 1 | 0.005 | 45 at 40 yd 75 at 25 | None | None
row 3 : 2 | 0.01 | 50 | 4 | 4
row 4 : skeet 2 (light mod.) | 0.015 | 55 | None | None
row 5 : modified | 0.02 | 60 | 3 | 3
row 6 : 3 | 0.025 | 65 | 2 | 2
row 7 : full | 0.03 | 70 | 1 | 1
row 8 : extra full | 0.04 | 73 | 1 | None
row 9 : turkey | 0.045 plus | 75 plus | 1 | None ] Execute this SQL based on the above table: select count ( * ) where choke = 'skeet 2 (light mod.)' | 1 |
[ header: game | date | visitor | score | home | decision | attendance | record | points row 1 : 34 | january 3 | ny rangers | 2 - 4 | philadelphia | parent | 17007 | 22-8-4 | 48
row 2 : 35 | january 5 | philadelphia | 3 - 3 | minnesota | parent | 15296 | 22-8-5 | 49
row 3 : 36 | january 7 | philadelphia | 1 - 2 | montreal | parent | 19040 | 22-9-5 | 49
row 4 : 37 | january 10 | minnesota | 4 - 7 | philadelphia | parent | 17007 | 23-9-5 | 51
row 5 : 38 | january 11 | philadelphia | 7 - 6 | atlanta | taylor | 5141 | 24-9-5 | 53
row 6 : 39 | january 13 | atlanta | 0 - 1 | philadelphia | parent | 17007 | 25-9-5 | 55
row 7 : 40 | january 17 | buffalo | 2 - 7 | philadelphia | parent | 17007 | 26-9-5 | 57
row 8 : 41 | january 19 | los angeles | 0 - 2 | philadelphia | parent | 17007 | 27-9-5 | 59
row 9 : 42 | january 20 | pittsburgh | 5 - 3 | philadelphia | parent | 17007 | 27-10-5 | 59
row 10 : 43 | january 22 | philadelphia | 3 - 2 | vancouver | taylor | 15570 | 28-10-5 | 61
row 11 : 44 | january 24 | philadelphia | 4 - 4 | los angeles | parent | 14343 | 28-10-6 | 62
row 12 : 45 | january 25 | philadelphia | 5 - 0 | california | parent | 10776 | 29-10-6 | 64
row 13 : 46 | january 27 | philadelphia | 3 - 5 | boston | taylor | 15003 | 29-11-6 | 64
row 14 : 47 | january 31 | buffalo | 3 - 4 | philadelphia | parent | 17007 | 30-11-6 | 66 ] Execute this SQL based on the above table: select count ( visitor ) where attendance = 15570 | 1 |
[ header: festival | year | award | nominee | result row 1 : blue mountains film festival | 2011 | animation prize | None | won
row 2 : firstglance film festival philadelphia | 2011 | best director (animation) | andrew martin | won
row 3 : lucerne international film festival | 2011 | best animated movie | None | nominated
row 4 : village roadshow queensland new filmmakers | 2011 | best animation | None | won
row 5 : village roadshow queensland new filmmakers | 2011 | best film | None | nominated
row 6 : village roadshow queensland new filmmakers | 2011 | best direction | andrew martin | nominated
row 7 : monaco international film festival | 2011 | best short film script | None | won
row 8 : monaco international film festival | 2011 | best short animation | None | won
row 9 : milan international film festival | 2012 | short film award | None | nominated
row 10 : shorts in paradise film festival | 2012 | runner up award | None | won
row 11 : worldfest houston international film festival and video | 2012 | special jury remi | None | won
row 12 : janison short sharp film festival | 2012 | animation grand prize | None | won
row 13 : create design awards | 2012 | motion category | None | nominated
row 14 : st kilda film festival | 2013 | best comedy | None | won ] Execute this SQL based on the above table: select count ( award ) where result = 'nominated' | 5 |
[ header: rank | name | nationality | time row 1 : None | brahim boulami | morocco | 8:17.73
row 2 : None | reuben kosgei | kenya | 8:18.63
row 3 : None | stephen cherono | kenya | 8:19.98
row 4 : 4 | bouabdellah ta | france | 8:20.25
row 5 : 5 | tim broe | united states | 8:20.75
row 6 : 6 | luis miguel martin | spain | 8:24.03
row 7 : 7 | raymond yator | kenya | 8:27.19
row 8 : 8 | thomas chorny | united states | 9:24.26 ] Execute this SQL based on the above table: select nationality group by nationality order by count ( * ) desc limit 1 | kenya |
[ header: date | result | opponent | event | location | method | round | time row 1 : 2013-12-14 | loss | mohamed diaby | victory, semi finals | paris, france | decision | 3 | 3:00
row 2 : 2013-03-09 | None | juanma chacon | enfusion live: barcelona | barcelona, spain | None | None | None
row 3 : 2012-05-27 | loss | murthel groenhart | k-1 world max 2012 world championship tournament final | madrid, spain | ko (punches) | 3 | 3:00
row 4 : 2012-02-11 | win | francesco tadiello | sporthal de zandbergen | sint-job-in-'t- | ko | 1 | None
row 5 : 2012-01-28 | win | chris ngimbi | it's showtime 2012 in leeu | leeuwarden, netherlands | tko (cut) | 2 | 1:22
row 6 : 2011-09-24 | loss | andy souwer | bfn group & music hall presents | brussels, belgium | extra round decision (split) | 4 | 3:00
row 7 : 2011-04-09 | win | lahcen ait ouss | le grande ko xi | liege, belgium | ko | 1 | None
row 8 : 2011-02-12 | win | henri van opstal | war of the ring | amsterdam, netherlands | decision (unanimous) | 3 | 3:00
row 9 : 2010-09-10 | win | edson fortes | ring sensation gala | utrecht, netherlands | decision | 3 | 3:00
row 10 : 2010-03-21 | loss | mohamed khamal | k-1 world max 2010 west europe tournament | utrecht, netherlands | ko (punch) | 2 | None
row 11 : 2009-11-21 | win | seo doo won | it's showtime 2009 barneveld | barneveld, netherlands | tko (referee stop | 1 | None
row 12 : 2009-09-24 | win | chris ngimbi | it's showtime 2009 lommel | lommel, belgium | extra round decision | 4 | 4:00
row 13 : 2009-04-11 | win | farid riffi | almelo fight for delight | almelo, netherlands | tko | None | None
row 14 : 2009-03-14 | win | viktor sarezki | war of the ring | belgium | ko (punch to the body) | 1 | None
row 15 : 2009-02-21 | win | pedro sedarous | turnhout gala | turnhout, belgium | decision | 5 | 3:00
row 16 : 2009-01-31 | win | dahou naim | tielrode gala | tielrode, belgium | 2nd extra round decision | 5 | 3:00
row 17 : 2008-09-20 | win | abdallah mabel | s-cup europe 2008, reserve bout | gorinchem, netherlands | decision | 3 | 3:00
row 18 : 2008-09-14 | win | jordy sloof | the outland rumble | rotterdam, netherlands | ko (right cross) | 1 | None
row 19 : 2008-03-08 | win | naraim ruben | lommel gala | lommel, belgium | tko (retirement) | 3 | None
row 20 : 2008-02-23 | win | pierre petit | st. job gala | st. job, belgium | ko (right punch) | 2 | None ] Execute this SQL based on the above table: select result order by id desc limit 1 | win |
[ header: camp | div sec division | admin district | 9 feb | 11 feb | 16 feb | 25 feb | 27 feb | 2 mar | 4 mar | 6 mar | 11 mar | 13 mar | 24 mar | 30 mar | 31 mar row 1 : ariviththodam sivanantha | vengalachedikulam | vav | 581 | 581 | 581 | 581 | 584 | 584 | 585 | 585 | 583 | 583 | 601 | 601 | 601
row 2 : cheddikulam maha vidy | vengalachedikulam | vav | 1624 | 1624 | 1624 | 1965 | 1965 | 1965 | 1996 | 1996 | 2001 | 2001 | 1995 | 1995 | 1995
row 3 : nelukkulam kala | vavuniya | vav | 2829 | 2829 | 2829 | 3071 | 3084 | 3084 | 3084 | 3068 | 3068 | 3082 | 3101 | 3070 | 3070
row 4 : pampamadhu hostel school | vavuniya | vav | 2779 | 2779 | 4181 | 4131 | 4131 | 4131 | 4131 | 4108 | 4108 | 4108 | 4178 | 4178 | 4178
row 5 : ponthoodam government tamil mixed school | vavuniya | vav | 1351 | 1351 | 1351 | 1365 | 1310 | 1310 | 1310 | 1308 | 1308 | 1320 | 1327 | 1319 | 1319
row 6 : poonathoddam college of education | vavuniya | vav | 4406 | 4406 | 5302 | 5302 | 5009 | 5009 | 5009 | 5036 | 5036 | 5119 | 5236 | 5243 | 5243
row 7 : vavuniya tamil | vavuniya | vav | None | 1200 | 4390 | 3838 | 4085 | 4085 | 5475 | 3540 | 3390 | 3390 | 3963 | 3969 | 3969
row 8 : kaithady palmyra research | thenmarachchi | jaf | None | None | None | None | None | None | None | None | None | None | None | None | 357
row 9 : kodikamam government tam | thenmarachchi | jaf | None | None | 411 | 424 | 503 | 503 | 655 | 711 | 706 | 706 | 1006 | 1006 | 1006
row 10 : thirunagar old court house | jaffna | jaf | None | None | 73 | 74 | 49 | 49 | 108 | 108 | 113 | 113 | 114 | 114 | 140
row 11 : kalimoddai | nanaddan | man | None | None | 445 | 445 | 445 | 445 | 445 | 454 | 454 | 454 | 454 | 454 | 454
row 12 : mannar district general hospital | mannar town | man | None | None | None | None | 279 | 279 | 279 | 279 | 279 | 279 | 279 | 279 | 279
row 13 : sirukandal | nanaddan | man | None | None | 357 | 357 | 357 | 357 | 357 | 350 | 350 | 350 | 350 | 350 | 350
row 14 : thampalakamam peripheral unit | thampalakamam | tri | None | None | None | 33 | 76 | 79 | 77 | 77 | 75 | 75 | 35 | 35 | 35
row 15 : polonnaruwa general hospital | None | pol | None | None | None | 86 | 171 | 171 | 171 | 171 | 171 | 171 | 100 | 100 | 92 ] Execute this SQL based on the above table: select admin district where 31 mar > 454 group by admin district order by count ( div sec division ) desc limit 1 | vav |
[ header: position | name | height | weight | birthdate | birthplace | 2009-10 team row 1 : g | brianne mclaughlin | 174 cm (5 ft 9 in) | 59 kg (130 lb) | june 20, 1987 | sheffield, ohio | robert morris colonials
row 2 : g | molly schaus | 174 cm (5 ft 9 in) | 67 kg (148 lb) | july 29, 1988 | natick, massachusetts | boston eagles
row 3 : g | jessie vetter | 174 cm (5 ft 9 in) | 77 kg (170 lb) | december 19, 1985 | cottage grove, wisconsin | wisconsin badgers
row 4 : d | kacey bellamy | 174 cm (5 ft 9 in) | 65 kg (143 lb) | april 22, 1987 | westfield, massachusetts | new hampshire wildcats
row 5 : d | caitlin cahow | 163 cm (5 ft 4 in) | 71 kg (157 lb) | may 20, 1985 | new haven, connecticut | harvard crimson
row 6 : d | lisa chesson | 169 cm (5 ft 7 in) | 69 kg (152 lb) | august 18, 1986 | plainfield, illinois | ohio state buckeyes
row 7 : d | molly engstrom | 175 cm (5 ft 9 in) | 81 kg (179 lb) | march 1, 1983 | siren, wisconsin | wisconsin badgers
row 8 : d | angela ruggiero - a | 175 cm (5 ft 9 in) | 87 kg (192 lb) | january 3, 1980 | los angeles, californi | harvard crimson
row 9 : f | julie chu - a | 174 cm (5 ft 9 in) | 67 kg (148 lb) | march 13, 1982 | bridgeport, connecticut | harvard crimson
row 10 : f | natalie darwitz - c | 160 cm (5 ft 3 in) | 62 kg (137 lb) | october 13, 1983 | eagan, minnesota | minnesota golden gophers
row 11 : f | meghan duggan | 175 cm (5 ft 9 in) | 74 kg (163 lb) | september 3, 1987 | danvers, massachusetts | wisconsin badgers
row 12 : f | monique lamoureux | 168 cm (5 ft 6 in) | 71 kg (157 lb) | july 3, 1989 | grand forks, north dakota | north dakota fighting sioux
row 13 : f | erika lawler | 152 cm (5 ft 0 in | 59 kg (130 lb) | february 5, 1987 | fitchburg, massachusetts | wisconsin badgers
row 14 : f | gisele marvin | 174 cm (5 ft 9 in) | 75 kg (165 lb) | march 7, 1987 | warroad, minnesota | minnesota golden gophers
row 15 : f | jenny potter - a | 163 cm (5 ft 4 in) | 66 kg (146 lb) | january 12, 1979 | edina, minnesota | minnesota golden gophers
row 16 : f | kelli stack | 165 cm (5 ft 5 in) | 59 kg (130 lb) | january 13, 1988 | brooklyn heights, oh | boston eagles ] Execute this SQL based on the above table: select count ( * ) where name >= 849 | 16 |
[ header: | name | distance | date | location row 1 : 1 | seppo simola | 20.15 | july 19, 1972 | turku, finland
row 2 : 2 | matti yrjola | 20.04 | august 2, 1972 | hameenkyro, f
row 3 : 3 | bo grahn | 20.09 | august 3, 1972 | helsinki, finland
row 4 : 4 | reijo stahlberg | 20.38 | july 26, 1973 | turku, finland
row 5 : 5 | markku tuokko | 20.03 | august 18, 1979 | mikkeli, finland
row 6 : 6 | aulis akonniemi | 20.12 | july 25, 1982 | ahtari, finland
row 7 : 7 | janne ronkainen | 20.02 | may 11, 1986 | leselidse, soviet union
row 8 : 8 | jari kuoppa | 20.17 | june 12, 1986 | ahtari, finland
row 9 : 9 | kari toyryla | 20.05 | july 2, 1986 | kauhajoki, finland
row 10 : 10 | markus koistinen | 20.31 | june 13, 1993 | luumaki, finland
row 11 : 11 | mika halvari | 20.08 | august 4, 1993 | kotka, finland
row 12 : 12 | arsi harju | 20.16 | march 2, 1997 | tampere, finland
row 13 : 13 | timo aaltonen | 20.12 | june 20, 1998 | kuortane, finland
row 14 : 14 | jani illikainen | 20.43 | january 23, 1999 | haaparanda, sweden
row 15 : 15 | ville tiisanoja | 20.06 | july 31, 1999 | espoo, finland
row 16 : 16 | jarkko haukijarvi | 20.2 | july 1, 2000 | eurajoki, finland
row 17 : 17 | tepa reinikainen | 20.01 | february 13, 2000 | kuopio, finland
row 18 : 18 | conny karlsson | 20.45 | may 31, 2001 | espoo, finland
row 19 : 19 | robert haggblom | 20.13 | may 20, 2006 | halle, germany
row 20 : 20 | mika vasara | 20.04 | june 4, 2006 | leppavirta, finland ] Execute this SQL based on the above table: select name order by distance desc limit 1 | conny karlsson |
[ 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 count ( final-score ) where qualifying score = 0 | 0 |
[ header: date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m | jackson state | davis wade stadium • starkville, | espnu | w 45-7 | 54232
row 2 : september 12 | 6:00 p.m | at auburn | jordan-hare stadium • auburn | secrn | l 24-49 | 85269
row 3 : september 19 | 6:00 p.m | at vanderbilt | vanderbilt stadium • nashville | secrn | w 15-3 | 31840
row 4 : september 26 | 11:21 a.m | #7 lsu | davis wade stadium • starkville, | secn | l 26-30 | 53612
row 5 : october 3 | 6:30 p.m | #25 georgia tech | davis wade stadium • starkville, | css | l 31-42 | 50035
row 6 : october 10 | 11:30 a.m | houston | davis wade stadium • starkville, | espnu | l 24-31 | 48019
row 7 : october 17 | 11:30 a.m | at middle tennessee | johnny "red" floyd | espnu | w 27-6 | 23882
row 8 : october 24 | 6:30 p.m | #1 florida | davis wade stadium • starkville, | espn | l 19-29 | 57178
row 9 : october 31 | 6:00 p.m | at kentucky | commonwealth stadium • lexington, | secrn | w 31-24 | 67953
row 10 : november 14 | 6:00 p.m | #2 alabama | davis wade stadium • starkville, | espn | l 3-31 | 58103
row 11 : november 21 | 11:21 a.m | at arkansas | war memorial stadium • little rock, ar | secn | l 21-42 | 55634
row 12 : november 28 | 11:21 a.m | #25 ole miss | davis wade stadium • starkville, | secn | w 41-27 | 55365 ] Execute this SQL based on the above table: select result order by time desc limit 1 | l 26-30 |
[ header: pick # | player | position | nationality | nhl team | college/junior/club team row 1 : 123 | paul ames | defence | united states | pittsburgh penguins | billerica high school (ushs-m
row 2 : 124 | joe reekie | defence | canada | hartford whalers | north bay centennials (ohl
row 3 : 125 | greg evtushevski | right wing | canada | new jersey devils | kamloops blazers (w
row 4 : 126 | bob pierson | left wing | canada | detroit red wings | london knights (ohl
row 5 : 127 | tim burgess | defence | canada | los angeles kings | oshawa generals (ohl
row 6 : 128 | cam plante | defence | canada | toronto maple leafs | brandon wheat kings (whl
row 7 : 129 | iain duncan | left wing | canada | winnipeg jets | north york rangers (ojhl
row 8 : 130 | terry maki | left wing | canada | vancouver canucks | brantford alexanders (oh
row 9 : 131 | jeff hogg | goaltender | canada | calgary flames | oshawa generals (ohl
row 10 : 132 | craig mack | defence | united states | quebec nordiques | east grand forks high school (ushs
row 11 : 133 | steve orth | centre | united states | new york rangers | st. cloud state university (wcha
row 12 : 134 | christian ruutt | centre | finland | buffalo sabres | pori (finland)
row 13 : 135 | dwaine hutton | centre | canada | washington capitals | kelowna wings (whl)
row 14 : 136 | sean toomey | left wing | united states | minnesota north stars | cretin-derham hall high school (
row 15 : 137 | jim sprenger | defence | united states | new york islanders | cloquet high school (ushs-
row 16 : 138 | vladislav tretiak | goaltender | soviet union | montreal canadiens | moscow cska (ussr
row 17 : 139 | scott birnie | rignt wing | canada | chicago black hawks | cornwall royals (ohl)
row 18 : 140 | dale derkatch | centre | canada | edmonton oilers | regina pats (whl)
row 19 : 141 | bob mormina | right wing | canada | philadelphia flyers | longueuil chevaliers (qmjh
row 20 : 142 | ian armstrong | defence | canada | boston bruins | peterborough petes (ohl) ] Execute this SQL based on the above table: select pick # where nationality = 'united states' and pick # = 137 | 137 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | france | 28 | 28 | 24 | 80
row 2 : 2 | romania | 16 | 3 | 5 | 24
row 3 : 3 | canada | 14 | 10 | 15 | 39
row 4 : 4 | quebec | 8 | 4 | 16 | 28
row 5 : 5 | morocco | 6 | 11 | 7 | 24
row 6 : 6 | tunisia | 4 | 7 | 1 | 12
row 7 : 7 | egypt | 2 | 5 | 4 | 11
row 8 : 8 | switzerland | 2 | 1 | 5 | 8
row 9 : 9 | senegal | 2 | 1 | 3 | 6
row 10 : 10 | french community of belgium | 1 | 3 | 6 | 10
row 11 : 11 | madagascar | 1 | 2 | 3 | 6
row 12 : 12 | burkina faso | 1 | None | 2 | 3
row 13 : 13 | togo | 1 | None | 1 | 2
row 14 : 14 | guinea | 1 | None | None | 1
row 15 : 15 | lebanon | 1 | None | None | 1
row 16 : 16 | ivory coast | None | 3 | 3 | 6
row 17 : 17 | republic of the congo | None | 3 | 2 | 5
row 18 : 18 | new brunswick | None | 1 | 2 | 3
row 19 : 19 | central african republic | None | 1 | None | 1
row 20 : 20 | dominica | None | 1 | None | 1
row 21 : 21 | gabon | None | 1 | None | 1
row 22 : 22 | mali | None | 1 | None | 1
row 23 : 23 | cambodia | None | None | 2 | 2
row 24 : 24 | luxembourg | None | None | 2 | 2
row 25 : 25 | mauritius | None | None | 2 | 2
row 26 : 26 | burundi | None | None | 1 | 1
row 27 : 27 | djibouti | None | None | 1 | 1
row 28 : 28 | vietnam | None | None | 1 | 1 ] Execute this SQL based on the above table: select rank where total = 12 | 6.0 |
[ header: star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude row 1 : epsilon canis majoris | None | -4,460,000 | -4,700,000 | -3.99 | 34 | 430 | 1.5
row 2 : beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37 | 500 | 1.99
row 3 : canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177 | 310 | -0.72
row 4 : zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8 | 89.1 | 2.6
row 5 : zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70 | 3.55
row 6 : canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252 | 310 | -0.72
row 7 : aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65 | 0.85
row 8 : capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08
row 9 : canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302 | 310 | -0.72
row 10 : sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46
row 11 : vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03
row 12 : canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346 | 310 | -0.72
row 13 : beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9
row 14 : delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187 | 4.72
row 15 : gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154 | 2.36
row 16 : upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30 | 195 | 3.6
row 17 : nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14 | 280 | 5.6
row 18 : omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44 | 346 | 3.83
row 19 : beta cygni | +3,870,000 | None | +4,610,000 | -0.52 | 80 | 390 | 3.18 ] Execute this SQL based on the above table: select star where star != 'canopus (second time)' and current magnitude = ( select current magnitude where star = 'canopus (second time)' ) | canopus (first time), canopus (third time), canopus (fourth time) |
[ header: # | player | σ points | qual. | final row 1 : 1 | karel hromadka | 9.5 | 3 | 6.5
row 2 : 2 | jan schulz (czechos | 9 | 4 | 5
row 3 : 3 | erwin voellmy (switz | 8.5 | 3.5 | 5
row 4 : 4 | karl behting (latvia | 8 | 2 | 6
row 5 : 4 | georges renaud (france | 8 | 3 | 5
row 6 : 4 | roberto grau (argentina | 8 | 3.5 | 4.5
row 7 : 4 | george koltanowski (bel | 8 | 3.5 | 4.5
row 8 : 8 | giovanni cenni (ital | 7.5 | 1.5 | 6
row 9 : 8 | endre steiner (hungary) | 7.5 | 2 | 5.5
row 10 : 8 | otto zimmermann (switz | 7.5 | 2.5 | 5
row 11 : 8 | dawid daniuszewski (poland | 7.5 | 2.5 | 5
row 12 : 8 | karoly sterk (hungary | 7.5 | 3 | 4.5
row 13 : 8 | damian reca (argentina) | 7.5 | 3.5 | 4
row 14 : 14-45 | etc | None | None | None ] Execute this SQL based on the above table: select count ( player ) | 14 |
[ 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 gender where id = ( select id where gender = 'male' ) - 1 | female |
[ header: season | head coach | conf. | overall row 1 : 1940-41 | henry swasey | 3-5 | 9-8
row 2 : 1941-42 | henry swasey | 0-8 | 4-15
row 3 : 1942-43 | henry swasey | 2-6 | 4-14
row 4 : 1945-46 | henry swasey | 0-4 | 3-7
row 5 : 1946-47 | ed stanczyk | 0-5 | 6-11
row 6 : 1947-48 | ed stanczyk | 2-5 | 5-12
row 7 : 1948-49 | ed stanczyk | 2-6 | 7-10
row 8 : 1949-50 | ed stanczyk | 1-5 | 4-11 ] Execute this SQL based on the above table: select season group by season order by count ( * ) desc limit 1 | 1949-50 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | chinese taipei | 2 | 0 | 0 | 2
row 2 : 1 | russia (rus) | 2 | 0 | 0 | 2
row 3 : 3 | great britain (gbr) | 1 | 0 | 0 | 1
row 4 : 4 | slovakia (svk) | 0 | 2 | 2 | 4
row 5 : 5 | china (chn) | 0 | 2 | 1 | 3
row 6 : 6 | mexico (mex) | 0 | 1 | 1 | 2
row 7 : 7 | germany (ger) | 0 | 0 | 2 | 2
row 8 : 8 | south korea (kor) | 0 | 0 | 1 | 1
row 9 : 8 | switzerland (sui) | 0 | 0 | 1 | 1
row 10 : 8 | thailand (tha) | 0 | 0 | 1 | 1
row 11 : 8 | uzbekistan (uzb | 0 | 0 | 1 | 1 ] Execute this SQL based on the above table: select sum ( total ) where nation in ( 'slovakia (svk)' , 'switzerland (sui)' ) | 5.0 |
[ header: seat | state | majority | member | party row 1 : hinkler | qld | 0 | paul neville | npa
row 2 : solomon | nt | 0.1 | dave tollner | lib
row 3 : adelaide | sa | 0.2 | hon trish worth | lib
row 4 : canning | wa | 0.4 | don randall | lib
row 5 : dobell | nsw | 0.4 | ken ticehurst | lib
row 6 : parramatta | nsw | 1.1 | ross cameron | lib
row 7 : mcewen | vic | 1.2 | fran bailey | lib
row 8 : paterson | nsw | 1.4 | bob baldwin | lib
row 9 : herbert | qld | 1.6 | peter lindsay | lib
row 10 : richmond | nsw | 1.6 | hon larry anthony | npa
row 11 : deakin | vic | 1.7 | philip barresi | lib
row 12 : eden-monaro | nsw | 1.7 | gary nairn | lib
row 13 : hindmarsh | sa | 1.9 | hon christine gallus | lib ] Execute this SQL based on the above table: select count ( seat ) where member = 8 | 0 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | russia | 7 | 3 | 0 | 10
row 2 : 2 | italy | 1 | 3 | 0 | 4
row 3 : 3 | france | 1 | 1 | 2 | 4
row 4 : 4 | austria | 1 | 1 | 0 | 2
row 5 : 4 | germany | 1 | 1 | 0 | 2
row 6 : 4 | iran | 1 | 1 | 0 | 2
row 7 : 4 | israel | 1 | 1 | 0 | 2
row 8 : 8 | poland | 1 | 0 | 5 | 6
row 9 : 9 | netherlands | 1 | 0 | 1 | 2
row 10 : 9 | romania | 1 | 0 | 1 | 2
row 11 : 11 | belgium | 1 | 0 | 0 | 1
row 12 : 11 | mexico | 1 | 0 | 0 | 1
row 13 : 13 | spain | 0 | 2 | 0 | 2
row 14 : 14 | sweden | 0 | 1 | 3 | 4
row 15 : 15 | colombia | 0 | 1 | 1 | 2
row 16 : 15 | ukraine | 0 | 1 | 1 | 2
row 17 : 17 | denmark | 0 | 1 | 0 | 1
row 18 : 17 | switzerland | 0 | 1 | 0 | 1
row 19 : 19 | algeria | 0 | 0 | 1 | 1
row 20 : 19 | greece | 0 | 0 | 1 | 1
row 21 : 19 | kazakhstan | 0 | 0 | 1 | 1
row 22 : 19 | slovenia | 0 | 0 | 1 | 1
row 23 : total | total | 18 | 18 | 18 | 54 ] Execute this SQL based on the above table: select nation order by rank desc limit 1 | algeria |
[ header: rank | name | height ft / m | floors | year | notes row 1 : 1 | rhodes state office tower | 629 / 192 | 41 | 1973 | has been the tallest building in columbus
row 2 : 2 | leveque tower | 555 / 169 | 47 | 1927 | tallest building constructed in columbus in the
row 3 : 3 | william green building | 530 / 162 | 33 | 1990 | tallest building constructed in columbus in the
row 4 : 4 | huntington center | 512 / 156 | 37 | 1984 | tallest building constructed in columbus in the
row 5 : 5 | vern riffe state office tower | 503 / 153 | 32 | 1988 | None
row 6 : 6 | one nationwide plaza | 485 / 148 | 40 | 1976 | None
row 7 : 7 | franklin county courthouse | 464 / 141 | 27 | 1991 | None
row 8 : 8 | aep building | 456 / 139 | 31 | 1983 | None
row 9 : 9 | borden building | 438 / 134 | 34 | 1974 | None
row 10 : 10 | three nationwide plaza | 408 / 124 | 27 | 1989 | None
row 11 : 11 | one columbus center | 366 / 112 | 26 | 1987 | None
row 12 : 12 | columbus center | 357 / 109 | 25 | 1964 | tallest building constructed in columbus in the
row 13 : 13 | capitol square | 350 / 107 | 26 | 1984 | None
row 14 : 14 | continental center | 348 / 106 | 26 | 1973 | None
row 15 : 15 | pnc bank building | 317 / 97 | 25 | 1977 | None
row 16 : 16 | miranova condominiums | 314 / 96 | 26 | 2001 | tallest residential building in the state of o
row 17 : 17 | fifth third center | 302 / 92 | 25 | 1998 | None
row 18 : 18 | motorists mutual building | 286 / 87 | 21 | 1973 | None
row 19 : 19 | midland building | 280 / 85 | 21 | 1970 | None
row 20 : 20 | the condominiums at north bank park | 267 / 81 | 20 | 2007 | None
row 21 : 21= | lincoln tower dormitory | 260 / 79 | 26 | 1967 | None
row 22 : 21= | morrill tower dormitory | 260 / 79 | 26 | 1967 | None
row 23 : 23 | hyatt regency columbus | 256 / 78 | 20 | 1980 | None
row 24 : 24 | key bank building | 253 / 77 | 20 | 1963 | None
row 25 : 25 | adam's mark hotel | 243 / 74 | 16 | 1961 | None
row 26 : 26 | town center | 226 / 69 | 17 | 1974 | None
row 27 : 27 | 8 east broad street | 212 / 64.6 | 17 | 1906 | None
row 28 : 28 | huntington building | 202 / 59.4 | 13 | 1926 | None
row 29 : 29 | ohio judicial center | 200 / 57.9 | 14 | 1933 | None
row 30 : 30 | 16 east broad street | 180 / 64.4 | 13 | 1900 | None ] Execute this SQL based on the above table: select count ( distinct name ) | 30 |
[ header: rank | nation | gold | silver | bronze | total row 1 : 1 | cuba | 9 | 11 | 12 | 32
row 2 : 2 | jamaica | 7 | 5 | 4 | 16
row 3 : 3 | colombia | 4 | 2 | 3 | 9
row 4 : 4 | puerto rico | 4 | 2 | 1 | 7
row 5 : 5 | mexico | 3 | 3 | 4 | 10
row 6 : 6 | trinidad and tobago | 2 | 5 | 1 | 8
row 7 : 7 | barbados | 1 | 1 | 1 | 3
row 8 : 8 | guatemala | 1 | 0 | 0 | 1
row 9 : 8 | bahamas | 1 | 0 | 0 | 1
row 10 : 10 | venezuela | 0 | 2 | 5 | 7
row 11 : 11 | u.s. virgin islands | 0 | 1 | 1 | 2 ] Execute this SQL based on the above table: select max ( total ) | 32.0 |
[ 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 where wrestler = 'kevin steen' | kevin steen |
[ header: date | opponent# | rank# | site | result | attendance | record row 1 : 11/26/1985 | vs. loyola (chi | #7 | assembly hall • champaign, il | w 95-64 | 13143 | 1-0
row 2 : 11/29/1985 | vs. #13 oklahom | #7 | kaneohe armory • hon | l 57-59 | 300 | 2-1
row 3 : 12/4/1985 | vs. wisconsin-green | #12 | assembly hall • champaign, il | w 84-34 | 13417 | 3-1
row 4 : 12/7/1985 | vs. utah state | #12 | assembly hall • champaign (illini classic | w 115-64 | 13980 | 5-1
row 5 : 12/10/1985 | vs. tennessee | #10 | mabee center • tulsa, | l 51-54 | 12700 | 5-2
row 6 : 12/14/1985 | vs. houston | #10 | assembly hall • champaign, il | w 102-92 | 15564 | 6-2
row 7 : 12/23/1985 | vs. howard | #15 | assembly hall • champaign, il | w 67-55 | 10043 | 8-2
row 8 : 12/30/1985 | vs. iowa state | #16 | rosemont horizon • rosemont, il | w 64-62 | 9876 | 9-2
row 9 : 1/2/1986 | vs. minnesota | #14 | assembly hall • champaign, il | w 76-57 | 13329 | 10-2 (1-0)
row 10 : 1/4/1986 | vs. iowa | #14 | assembly hall • champaign, il | l 59-60 | 16676 | 10-3 (1-1)
row 11 : 1/8/1986 | @ #2 michigan | #18 | crisler arena • ann arbor, | l 59-61 | 13609 | 10-4 (1-2)
row 12 : 1/16/1986 | vs. wisconsin | #nr | assembly hall • champaign, il | w 73-54 | 12829 | 11-5 (2-3)
row 13 : 1/18/1986 | vs. northwestern | #nr | assembly hall • champaign, il | w 72-46 | 13891 | 12-5 (3-3)
row 14 : 1/23/1986 | @ ohio state | #nr | st. john arena • colum | w 67-65 | 13071 | 13-5 (4-3)
row 15 : 2/8/1986 | vs. michigan | #nr | assembly hall • champaign, il | w 83-79 ot | 16353 | 15-7 (6-5)
row 16 : 2/13/1986 | @ northwestern | #nr | welsh-ryan arena • | w 75-52 | 8117 | 16-7 (7-5)
row 17 : 2/15/1986 | @ wisconsin | #nr | wisconsin field house • madison | w 82-74 | 10605 | 17-7 (8-5)
row 18 : 2/20/1986 | vs. #15 indiana | #nr | assembly hall • champaign, il | l 60-61 | 16349 | 17-8 (8-6)
row 19 : 2/22/1986 | vs. ohio state | #nr | assembly hall • champaign, il | w 66-62 | 16376 | 18-8 (8-7)
row 20 : 3/1/1986 | @ #4 georgia tech | #12 | alexander memorial coliseum • | w 59-57 | 15148 | 20-8 ] Execute this SQL based on the above table: select attendance where opponent# = '@ wisconsin' | 10605 |
[ header: team | outgoing manager | manner of departure | date of vacancy | replaced by | date of appointment | position in table row 1 : manchester city | stuart pearce | contract terminated | 14 may 2007 | sven-goran eriks | 6 july 2007 | pre-season
row 2 : chelsea | jose mourinho | mutual consent | 20 september 2007 | avram grant | 20 september 2007 | 5th
row 3 : bolton wanderers | sammy lee | mutual consent | 17 october 2007 | gary megson | 25 october 2007 | 19th
row 4 : tottenham hotspur | martin jol | contract terminated | 25 october 2007 | juande ramos | 27 october 2007 | 18th
row 5 : wigan athletic | chris hutchings | contract terminated | 5 november 2007 | steve bruce | 26 november 2007 | 18th
row 6 : birmingham city | steve bruce | wigan purchased rights for £3m | 19 november 2007 | alex mcleish | 28 november 2007 | 15th
row 7 : derby county | billy davies | mutual consent | 26 november 2007 | paul jewell | 28 november 2007 | 20th
row 8 : fulham | lawrie sanchez | contract terminated | 21 december 2007 | roy hodgson | 30 december 2007 | 18th
row 9 : newcastle united | sam allardyce | mutual consent | 9 january 2008 | kevin keegan | 16 january 2008 | 11th
row 10 : chelsea | avram grant | contract terminated | 24 may 2008 | luiz felipe scolari | 1 july 2008 | post-season (2nd)
row 11 : manchester city | sven-goran eriks | mutual consent | 2 june 2008 | mark hughes | 4 june 2008 | post-season (9th)
row 12 : blackburn rovers | mark hughes | manchester city purchased rights for £4.6m | 4 june 2008 | paul ince | 22 june 2008 | post-season (7th) ] Execute this SQL based on the above table: select count ( * ) where position in table = '18th' | 3 |
[ header: rank | team | athletes | run 1 | run 2 | run 3 | run 4 | final row 1 : silver | italy (ita) italy | eugenio monti, | 1:17.69 | 1:17.97 | 1:18.13 | 1:18.31 | 5:12.10
row 2 : bronze | united states (usa) usa i | arthur tyler, william | 1:17.75 | 1:17.87 | 1:18.25 | 1:18.52 | 5:12.39
row 3 : 4 | switzerland (sui) | max angst, aby gar | 1:17.41 | 1:17.85 | 1:18.68 | 1:20.33 | 5:14.27
row 4 : 7 | austria (aut) austria i | kurt loserth, wil | 1:19.37 | 1:19.12 | 1:20.08 | 1:19.72 | 5:18.29
row 5 : 8 | germany (ger) germany ii | franz schelle, jako | 1:19.03 | 1:18.84 | 1:19.31 | 1:21.35 | 5:18.50
row 6 : 9 | spain (esp) spain | alfonso de portago, | 1:18.87 | 1:19.27 | 1:21.37 | 1:19.08 | 5:19.49
row 7 : 11 | norway (nor) norway i | arne røgden, ar | 1:20.96 | 1:20.08 | 1:20.45 | 1:20.01 | 5:21.50
row 8 : 13 | sweden (swe) s | kjell holmstrom, | 1:20.58 | 1:20.32 | 1:21.15 | 1:21.13 | 5:23.18
row 9 : 16 | sweden (swe) s | olle axelsson, | 1:18.95 | 1:19.98 | 1:22.75 | 1:21.86 | 5:23.54
row 10 : 18 | france (fra) france | andre robin, pierre bouvier | 1:20.00 | 1:21.25 | 1:20.95 | 1:21.63 | 5:23.83
row 11 : 21 | poland (pol) poland | aleksy konieczny | None | None | None | None | 5:28.40 ] Execute this SQL based on the above table: select team where team in ( 'france (fra) france i' , 'olle axelsson, ebbe wallen, sune skagerling, & gunnar ahs' ) and team = 'france (fra) france i' | france (fra) france i |
[ header: number | event | type | matthew | mark | luke | john row 1 : 1 | pre-existence of christ | miscellaneous | None | None | None | john 01:01-18
row 2 : 3 | birth of john the baptist | nativity | None | None | luke 01:05-25 | None
row 3 : 9 | circumcision of jesus | nativity | None | None | luke 02:21 | None
row 4 : 10 | infant jesus at the temple | nativity | None | None | luke 02:22-38 | None
row 5 : 14 | massacre of the innocents | nativity | matthew 02:16-18 | None | None | None
row 6 : 18 | john the baptist | miscellaneous | None | mark 01:01-08 | None | None
row 7 : 22 | marriage at cana | miracle | None | None | None | john 02:01-11
row 8 : 31 | beatitudes | sermon | matthew 05:02-12 | None | luke 06:20-23 | None
row 9 : 35 | expounding of the law | sermon | matthew 05:17-48 | None | luke 06:29-42 | None
row 10 : 43 | samaritan woman at the well | ministry | None | None | None | john 04:04-26
row 11 : 52 | exorcising at sunset | miracle | matthew 08:16-17 | mark 01:32-34 | luke 04:40-41 | None
row 12 : 62 | commissioning the twelve apostles | ministry | matthew 10:02-04 | mark 03:13-19 | luke 06:12-16 | None
row 13 : 64 | messengers from john the baptist | ministry | matthew 11:02-06 | None | luke 07:18-23 | None
row 14 : 68 | the lord's prayer | ministry | None | None | luke 11:02-04 | None
row 15 : 72 | jesus' true relatives | ministry | matthew 12:46-50 | mark 03:31-35 | luke 08:19-21 | None
row 16 : 78 | parable of the mustard seed | parable | matthew 13:31-32 | mark 04:30-32 | luke 13:18-19 | None
row 17 : 79 | the leaven | parable | matthew 13:33-33 | None | luke 13:20-21 | None
row 18 : 89 | canaanite woman's daughter | miracle | matthew 15:21-28 | mark 07:24-30 | None | None
row 19 : 90 | deaf mute of decapolis | miracle | None | mark 07:31-37 | None | None
row 20 : 95 | boy possessed by a demon | miracle | matthew 17:14-21 | mark 09:14-29 | luke 09:37-49 | None
row 21 : 96 | coin in the fish's mouth | miracle | matthew 17:24-27 | None | None | None
row 22 : 99 | man with dropsy | miracle | None | None | luke 14:01-06 | None
row 23 : 100 | counting the cost | parable | None | None | luke 14:25-33 | None
row 24 : 101 | the lost sheep | parable | matthew 18:10-14 | None | luke 15:04-06 | None
row 25 : 108 | the master and servant | parable | None | None | luke 17:07-10 | None
row 26 : 109 | cleansing ten lepers | miracle | None | None | luke 17:11-19 | None
row 27 : 112 | jesus and the rich young man | ministry | matthew 19:16-30 | mark 10:17-31 | luke 18:18-30 | None ] Execute this SQL based on the above table: select min ( type ) | ministry |
[ header: award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pik | nominated
row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pik | nominated
row 3 : 56th golden globe awards | best picture | bulworth | nominated
row 4 : 56th golden globe awards | best actor | warren beatty | nominated
row 5 : 1998 satellite awards | best actor | warren beatty | nominated
row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pik | nominated
row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pik | nominated
row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pik | won
row 9 : 1998 golden lion awards | best film | bulworth | nominated
row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated
row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated
row 12 : american film institute | 100 years...100 laughs | bulworth | nominated ] Execute this SQL based on the above table: select category where award < 831 | best original screenplay, best screenplay, best picture, best actor, best actor, best screenplay, best film, outstanding actress, outstanding supporting actor |
[ header: rank | group | name | nationality | 2.05 | 2.15 | 2.19 | 2.23 | 2.26 | result | notes row 1 : 1 | a | nicola ciotti | italy | None | o | o | o | o | 2.26 | q
row 2 : 1 | a | linus thornblad | sweden | None | o | o | o | o | 2.26 | q
row 3 : 1 | b | oskari frosen | finland | None | o | o | o | o | 2.26 | q
row 4 : 1 | b | stefan holm | sweden | None | o | o | o | o | 2.26 | q
row 5 : 1 | b | svatoslav ton | czech republic | None | o | o | o | o | 2.26 | q
row 6 : 7 | a | niki palli | israel | o | o | o | o | xo | 2.26 | q
row 7 : 7 | b | yaroslav rybakov | russia | None | o | o | o | xo | 2.26 | q
row 8 : 9 | b | giulio ciotti | italy | None | o | xo | o | xo | 2.26 | q
row 9 : 11 | a | ivan ukhov | russia | None | None | None | o | None | 2.23 | q
row 10 : 11 | a | andrea bettinelli | italy | None | o | o | o | xxx | 2.23 | q
row 11 : 14 | a | martyn bernard | united kingdom | None | o | xxo | xo | xxx | 2.23 | None
row 12 : 15 | b | peter horak | slovakia | None | o | o | xxo | xxx | 2.23 | None
row 13 : 15 | b | normunds pupols | latvia | None | o | o | xxo | xxx | 2.23 | None
row 14 : 17 | a | germaine mason | united kingdom | None | o | o | xxx | None | 2.19 | None
row 15 : 17 | b | rozle prezelj | slovenia | o | o | o | xxx | None | 2.19 | None
row 16 : 19 | a | heikki tanel | finland | None | xo | o | xxx | None | 2.19 | None
row 17 : 19 | b | andriy sokolovskyy | ukraine | None | xo | o | xxx | None | 2.19 | None
row 18 : 21 | b | mickael hanany | france | None | xo | xo | xxx | None | 2.19 | None
row 19 : 22 | b | javier bermejo | spain | o | o | xxx | None | None | 2.15 | None
row 20 : 23 | a | osku torro | finland | None | xo | x- | x | None | 2.15 | None
row 21 : 24 | a | jan-peter larsen | netherlands | o | xxx | None | None | None | 2.05 | None
row 22 : None | b | adam scarr | united kingdom | None | xxx | None | None | None | nm | None ] Execute this SQL based on the above table: select count ( 2.26 ) where 2.05 = 'o' | 1 |
[ 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 name order by area ha desc limit 1 | bedford purlieus nnr |
[ header: season | average | high | low | season tickets row 1 : 2001-02 serie a | 17956 | 27498 | 14704 | 12156
row 2 : 2002-03 serie a | 16306 | 25603 | 12980 | 11544
row 3 : 2003-04 serie a | 15904 | 23663 | 11463 | 10439
row 4 : 2004-05 serie a | 14044 | 23010 | 10711 | 9923
row 5 : 2005-06 serie a | 14372 | 23116 | 11575 | 10639
row 6 : 2006-07 serie a | 14644 | 20488 | 11946 | 11120
row 7 : 2007-08 serie a | 15427 | 25149 | 11890 | 11386
row 8 : 2008-09 serie b | 10031 | 12265 | 9261 | None
row 9 : 2009-10 serie a | 17061 | 21323 | 11870 | 13691
row 10 : 2010-11 serie a | 14524 | 19615 | 11975 | 10578
row 11 : 2011-12 serie a | 13646 | 19481 | 10800 | 9620
row 12 : 2012-13 serie a | 12740 | 19073 | 9627 | 10546 ] Execute this SQL based on the above table: select low where id = ( select id where low = 11946 ) - 1 | 11575 |
[ header: | name | date | location | county | description row 1 : 1 | diamond head | None | honolulu | oahu | state monument
row 2 : 2 | i'ao valley | None | wailuku | maui | state monument
row 3 : 3 | kanaha pond | june 1971 | kahului | maui | bird sanctuary
row 4 : 4 | koʻolau range pali | None | None | oahu | None
row 5 : 5 | makalawena marsh | june 1972 | north kona | hawaiʻi | bird sanctuary
row 6 : 6 | mauna kea | november 1972 | saddle road | hawaiʻi | u.s. state high point
row 7 : 7 | north shore cliffs | december 1972 | molokaʻi | maui | None ] Execute this SQL based on the above table: select county order by location asc limit 1 | oahu |
[ header: order in position | president of the republic | length of the presidential action | rank by length of term(s) | notes row 1 : 1 | k. j. stahlberg | 5 years, 220 days | 8 | 1 term serving
row 2 : 2 | lauri kristian relander | 6 years, 0 days one leap year (19 | 6 | 1 term serving
row 3 : 3 | p. e. svinh | 5 years, 364 days two leap years (19 | 6 | 1 term serving
row 4 : 4 | kyosti kallio | 3 years, 293 days | 9 | resigned due to poor health
row 5 : 5 | risto ryti | 3 years, 229 days | 10 | resigned due to agreement with nazi german
row 6 : 6 | gustaf mannerheim | 1 year, 219 days | 11 | resigned due to poor health and after not
row 7 : 7 | j. k. paasiki | 9 years, 356 days | 4 | 2 terms serving (remainder of mannerheim
row 8 : 8 | urho kekkonen | 25 years, 332 days | 1 | 3 whole terms serving (the 3rd exceptionally
row 9 : 9 | mauno koivisto | 12 years, 33 days | 2 | 2 terms serving
row 10 : 10 | martti ahtisa | 6 years, 0 days two leap years (19 | 5 | 1 term serving
row 11 : 11 | tarja halonen | 12 years, 0 days | 3 | 2 terms serving
row 12 : 12 | sauli niinisto | 2 years, 115 days | None | incumbent: first term serving ] Execute this SQL based on the above table: select count ( distinct president of the republic ) | 12 |
[ header: year | tournament | venue | result | extra row 1 : 2002 | european indoor championships | vienna, austria | 5th | None
row 2 : 2003 | universiade | daegu, south korea | 3rd | None
row 3 : 2004 | world indoor championships | budapest, hungary | 1st | 2.04 pbi
row 4 : 2004 | summer olympics | athens, greece | 1st | 2.06 nr
row 5 : 2004 | world athletics final | monte carlo, monaco | 1st | None
row 6 : 2006 | world indoor championships | moscow, russia | 1st | 2.02
row 7 : 2006 | european championships | gothenburg, sweden | 5th | 1.99 m
row 8 : 2006 | world athletics final | stuttgart, germany | 4th | None
row 9 : 2006 | world cup | athens, greece | 1st | 1.97
row 10 : 2007 | world championships | osaka, japan | 4th | None
row 11 : 2008 | summer olympics | beijing, china | 4th | 2.01
row 12 : 2011 | world championships | daegu, korea | 4th | 1.97 ] Execute this SQL based on the above table: select min ( result ) where result = '4th' and tournament = 'summer olympics' | 4th |
[ header: # | date | opponent | score | result | competition row 1 : 1 | 1988 | indonesia | 4-0 | won | 1988 afc u-17 championship group
row 2 : 2 | 1988 | south korea | 6-1 | won | 1988 afc u-17 championship group
row 3 : 3 | 1988 | south korea | 6-1 | won | 1988 afc u-17 championship group
row 4 : 4 | 1988 | south korea | 6-1 | won | 1988 afc u-17 championship group
row 5 : 5 | 1988 | south korea | 6-1 | won | 1988 afc u-17 championship group
row 6 : 6 | 1988 | iraq | 2-1 | won | 1988 afc u-17 championship semifinal
row 7 : 7 | 1988 | bahrain | 2-0 | won | 1988 afc u-17 championship final
row 8 : 8 | 1988 | bahrain | 2-0 | won | 1988 afc u-17 championship final
row 9 : 9 | june 12, 1989 | guinea | 2-2 | draw | 1989 fifa u-16 world championship group
row 10 : 10 | june 12, 1989 | colombia | 1-0 | won | 1989 fifa u-16 world championship group
row 11 : 11 | june 12, 1989 | bahrain | 1-0 | won | 1989 fifa u-16 world championship semifinal
row 12 : 12 | february 22, 1989 | portugal | 3-0 | won | 1989 fifa world youth championship group stages
row 13 : 13 | 1989 | kuwait | 1-0 | won | 1989 palestine cup of nations for youth group
row 14 : 14 | 1989 | bahrain | 1-1(4-3) | lost | 1989 palestine cup of nations for youth third ] Execute this SQL based on the above table: select result where result in ( 'won' , 'won' ) order by # desc limit 1 | won |
[ header: date | name of ship | nationality | tonnage | fate row 1 : 5 june 1940 | ss stancor | united kingdom | 798 | sunk at 58°48′n
row 2 : 7 june 1940 | ss frances massey | united kingdom | 4212 | sunk at 55°33′n 08
row 3 : 7 june 1940 | ss eros | united kingdom | 5888 | damaged at 55°33′n 08°26
row 4 : 11 june 1940 | ss violando n go | greece | 2375 | sunk at 44°04′n 12
row 5 : 19 june 1940 | mv tudor | norway | 6607 | sunk at 45°10′n 11
row 6 : 19 june 1940 | ss baron loudoun | united kingdom | 3164 | sunk at 45°00′n 11
row 7 : 19 june 1940 | ss british monarch | united kingdom | 5661 | sunk at 45°00′n 11
row 8 : 20 june 1940 | mv moerdrecht | netherlands | 7493 | sunk at 43°34′n 14
row 9 : 16 august 1940 | ss hedrun | sweden | 2325 | sunk at 57°10′n
row 10 : 19 august 1940 | ss ville de gand | belgium | 7590 | sunk at 55°28′n 15
row 11 : 24 august 1940 | ss la brea | united kingdom | 6666 | sunk at 57°24′n
row 12 : 25 august 1940 | ss empire merlin | united kingdom | 5763 | sunk at 58°30′n
row 13 : 25 august 1940 | mv athelcrest | united kingdom | 6825 | sunk at 58°24′n ] Execute this SQL based on the above table: select sum ( tonnage ) where name of ship in ( 'ss baron loudoun' , 'ss empire merlin' ) | 8927.0 |
[ header: # | date | opponent | score | win | loss | save | attendance | record row 1 : 74 | july 1 | mariners | 4 - 3 | perry (6-7) | leal (5-6) | caudill (14) | 21004 | 33-41
row 2 : 76 | july 3 | @ twins | 2 - 1 | o'connor (1-2) | clancy (7-5) | None | 9591 | 34-42
row 3 : 77 | july 4 | @ twins | 4 - 3 | little (1-0) | stieb (6-10) | None | 6532 | 34-43
row 4 : 80 | july 7 | @ royals | 3 - 1 | gura (10-4) | clancy (7-6) | None | 22217 | 35-45
row 5 : 81 | july 8 | @ royals | 5 - 4 | stieb (7-10) | armstrong (2-3) | mclaughlin (4) | 24409 | 36-45
row 6 : 83 | july 10 | white sox | 6 - 5 | escarrega (1-1) | gott (1-5) | hickey (4) | 17035 | 37-46
row 7 : 84 | july 11 | white sox | 16 - 7 | burns (9-4) | clancy (7-7) | None | 16169 | 37-47
row 8 : 86 | july 16 | rangers | 6 - 0 | clancy (8-7) | hough (7-8) | None | 13359 | 39-47
row 9 : 88 | july 18 | rangers | 5 - 4 (10) | mclaughlin (8-3) | darwin (6-4) | None | 15512 | 41-47
row 10 : 89 | july 19 | royals | 4 - 2 | leal (6-7) | black (3-3) | None | 16466 | 42-47
row 11 : 90 | july 20 | royals | 9 - 2 | stieb (9-10) | gura (10-7) | None | 18552 | 43-47
row 12 : 91 | july 21 | royals | 9 - 7 | blue (7-7) | clancy (8-8) | quisenberry (23) | 19152 | 43-48
row 13 : 93 | july 23 | @ white sox | 7 - 1 | leal (7-7) | barnes (0-2) | jackson (5) | 27770 | 44-49
row 14 : 96 | july 26 | @ red sox | 3 - 2 | eckersley (11-8) | gott (1-6) | None | 22261 | 45-51
row 15 : 97 | july 27 | @ red sox | 3 - 1 | leal (8-7) | tudor (6-8) | None | 27077 | 46-51
row 16 : 98 | july 28 | @ red sox | 9 - 7 | ojeda (4-5) | jackson (3-7) | stanley (8) | 18627 | 46-52
row 17 : 99 | july 30 | tigers | 6 - 5 (12) | murray (7-3) | james (0-2) | None | 18262 | 47-52 ] Execute this SQL based on the above table: select min ( record ) | 33 |
[ header: pos. | time | athlete | country | venue | date row 1 : 1 | 12.21 (+0.7) | yordanka donkova | bulgaria | stara zagora | 20 august 1988
row 2 : 2 | 12.25 (+1.4) | ginka zagorcheva | bulgaria | drama | 8 august 1987
row 3 : 3 | 12.26 (+1.7) | ludmila narozh | russia | seville | 6 june 1992
row 4 : 3 | 12.26 (+1.2) | brianna rollins | united states | des moines | 22 june 2013
row 5 : 5 | 12.28 (+1.1) | sally pearson | australia | daegu | 3 september 2011
row 6 : 6 | 12.33 (-0.3) | gail devers | united states | sacramento | 23 july 2000
row 7 : 7 | 12.36 (+1.9) | grazyna rabszt | poland | warsaw | 13 june 1980
row 8 : 8 | 12.37 (+1.5) | joanna hayes | united states | athens | 24 august 2004
row 9 : 8 | 12.37 (-0.2) | dawn harper | united states | london | 7 august 2012
row 10 : 10 | 12.39 (+1.5) | vera komisova | soviet union | rome | 5 august 1980
row 11 : 10 | 12.39 (+1.8) | nataliya grygoryeva | soviet union | kiev | 11 july 1991
row 12 : 12 | 12.42 (+1.8) | bettine jahn | east germany | berlin | 8 june 1983
row 13 : 12 | 12.42 (+2.0) | anjanette kirkland | united states | edmonton | 11 august 2001
row 14 : 14 | 12.43 (-0.9) | lucyna kalek | poland | hannover | 19 august 1984
row 15 : 14 | 12.43 (-0.3) | michelle perry | united states | carson | 26 june 2005
row 16 : 14 | 12.43 (+0.2) | lolo jones | united states | beijing | 18 august 2008
row 17 : 14 | 12.43 (+1.2) | queen harrison | united states | des moines | 22 june 2013
row 18 : 18 | 12.44 (-0.5) | gloria siebert | east germany | rome | 4 september 1987
row 19 : 18 | 12.44 (-0.8) | olga shishigina | kazakhstan | lucerne | 27 june 1995
row 20 : 18 | 12.44 (+0.4) | glory alozie | nigeria | monaco | 8 august 1998
row 21 : 18 | 12.44 (+0.6) | damu cherry | united states | lausanne | 7 july 2006
row 22 : 22 | 12.45 (+1.3) | cornelia oschkenat | east germany | neubrandenburg | 11 june 1987
row 23 : 22 | 12.45 (+1.4) | brigitte foster-hylton | jamaica | eugene | 24 may 2003
row 24 : 22 | 12.45 (+1.5) | olena krasov | ukraine | athens | 24 august 2004
row 25 : 22 | 12.45 (+1.4) | virginia crawford | united states | new york city | 2 june 2007 ] Execute this SQL based on the above table: select pos. where athlete = 'dawn harper' | 8 |
[ header: week | date | opponent | result | venue | attendance row 1 : 1 | september 3, 1978 | at detroit lions | w 13-7 | pontiac silverdome | 51187
row 2 : 2 | september 10, 1978 | new orleans saints | w 28-17 | milwaukee county stadium | 54336
row 3 : 3 | september 17, 1978 | oakland raiders | l 28-3 | lambeau field | 55903
row 4 : 4 | september 24, 1978 | at san diego chargers | w 24-3 | san diego stadium | 42755
row 5 : 5 | october 1, 1978 | detroit lions | w 35-14 | milwaukee county stadium | 54601
row 6 : 6 | october 8, 1978 | chicago bears | w 24-14 | lambeau field | 56267
row 7 : 7 | october 15, 1978 | seattle seahawks | w 45-28 | milwaukee county stadium | 52712
row 8 : 8 | october 22, 1978 | at minnesota vikings | l 21-7 | metropolitan stadium | 47411
row 9 : 9 | october 29, 1978 | tampa bay buccaneers | w 9-7 | lambeau field | 55108
row 10 : 10 | november 5, 1978 | at philadelphia eagle | l 10-3 | veterans stadium | 64214
row 11 : 11 | november 12, 1978 | dallas cowboys | l 42-14 | milwaukee county stadium | 55256
row 12 : 12 | november 19, 1978 | at denver broncos | l 16-3 | mile high stadium | 74965
row 13 : 13 | november 26, 1978 | minnesota vikings | t 10-10 (ot) | lambeau field | 51737
row 14 : 14 | december 3, 1978 | at tampa bay buccaneers | w 17-7 | tampa stadium | 67754
row 15 : 15 | december 10, 1978 | at chicago bears | l 14-0 | soldier field | 34306
row 16 : 16 | december 17, 1978 | at los angeles rams | l 31-14 | los angeles memorial coliseum | 42500 ] Execute this SQL based on the above table: select count ( * ) where week = 10 | 1 |
[ header: date | winner | yacht | loser | yacht | score | delta row 1 : september 14, 1983 | liberty | us-40 | australia ii | ka-6 | 1-0 | 1:10
row 2 : september 15, 1983 | liberty | us-40 | australia ii | ka-6 | 2-0 | 1:33
row 3 : september 18, 1983 | australia ii | ka-6 | liberty | us-40 | 1-2 | 3:14
row 4 : september 20, 1983 | liberty | us-40 | australia ii | ka-6 | 3-1 | 0:43
row 5 : september 21, 1983 | australia ii | ka-6 | liberty | us-40 | 2-3 | 1:47
row 6 : september 22, 1983 | australia ii | ka-6 | liberty | us-40 | 3-3 | 3:25
row 7 : september 26, 1983 | australia ii | ka-6 | liberty | us-40 | 4-3 | 0:41 ] Execute this SQL based on the above table: select count ( date ) where delta > ( select delta where date = 'september 18, 1983' ) | 0 |
[ header: title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! | 2003 | playstation 2 | None | None
row 2 : gunbird special edition / gunbird 1& | 2004 | playstation 2 | None | None
row 3 : psikyo shooting collection vol. | 2004 | playstation 2 | None | released and published in europe by play it as
row 4 : psikyo shooting collection vol. | 2004 | playstation 2 | None | None
row 5 : psikyo shooting collection vol. | 2004 | playstation 2 | None | None
row 6 : taisen hot gimmick | 2004 | playstation 2 | None | None
row 7 : sengoku cannon | 2005 | None | psp | None
row 8 : taisen hot gimmick | 2005 | playstation 2 | None | None ] Execute this SQL based on the above table: select release where handheld = ( select handheld where release = 2005 ) | 2005 |
[ header: district | senator | party | caucus | first elected | counties represented row 1 : 1 | kenneth p. lavalle | republican | republican | 1976 | suffolk
row 2 : 3 | lee zeldin | republican | republican | 2010 | suffolk
row 3 : 8 | vacant | None | None | None | nassau, suffo
row 4 : 10 | james sanders, j | democratic | democratic | 2012 | queens
row 5 : 11 | tony avella | democratic | democratic | 2010 | queens
row 6 : 13 | jose peralta | democratic | democratic | 2010 | queens
row 7 : 14 | malcolm smith | democratic | no caucus | 2000 | queens
row 8 : 15 | joseph addabbo, j | democratic | democratic | 2008 | queens
row 9 : 16 | toby ann stavisky | democratic | democratic | 1999 | queens
row 10 : 17 | simcha felder | democratic | republican | 2012 | brooklyn
row 11 : 20 | vacant | None | None | None | brooklyn
row 12 : 24 | andrew j. lanza | republican | republican | 2006 | staten island
row 13 : 25 | velmanette montgomery | democratic | democratic | 1984 | brooklyn
row 14 : 26 | daniel squadron | democratic | democratic | 2008 | brooklyn, manhattan
row 15 : 27 | brad hoylman | democratic | democratic | 2012 | manhattan
row 16 : 28 | liz krueger | democratic | democratic | 2002 | manhattan
row 17 : 29 | jose m. serrano | democratic | democratic | 2004 | manhattan, the bronx
row 18 : 31 | adriano espaillat | democratic | democratic | 2010 | manhattan
row 19 : 32 | ruben diaz, sr | democratic | democratic | 2002 | the bronx
row 20 : 33 | gustavo rivera | democratic | democratic | 2010 | the bronx
row 21 : 35 | andrea stewart-cousins | democratic | democratic | 2006 | westchester
row 22 : 37 | george s. latimer | democratic | democratic | 2012 | westchester
row 23 : 40 | gregory r. ball | republican | republican | 2010 | dutchess, putnam, westchester
row 24 : 41 | terry w. gipson | democratic | democratic | 2012 | dutchess, putnam
row 25 : 42 | john bonacic | republican | republican | 1998 | delaware, orange, sulliv
row 26 : 45 | betty little | republican | republican | 2002 | clinton, essex, fran
row 27 : 46 | cecilia tkaczyk | democratic | democratic | 2012 | albany, greene, montgomery
row 28 : 47 | joseph griffo | republican | republican | 2006 | lewis, oneida, saint
row 29 : 48 | patty ritchie | republican | republican | 2010 | jefferson, oswego,
row 30 : 50 | john defrancisco | republican | republican | 1992 | cayuga, onondaga
row 31 : 51 | james seward | republican | republican | 1986 | cayuga, chenango, cort
row 32 : 52 | thomas w. libous | republican | republican | 1988 | broome, chenango, delaware ] Execute this SQL based on the above table: select abs ( ( select first elected where first elected = 2004 ) - ( select first elected where first elected = 1976 ) ) | 28 |
[ header: year | competition | venue | position | notes row 1 : 2003 | world youth championships | sherbrooke, canada | 7th | 1.75 m
row 2 : 2004 | world junior championships | grosseto, italy | 9th | 1.80 m
row 3 : 2005 | european junior championships | kaunas, lithuania | 4th | 1.82 m
row 4 : 2009 | european indoor championships | turin, italy | 5th | 1.92 m
row 5 : 2010 | world indoor championships | doha, qatar | 10th (q) | 1.89 m
row 6 : 2010 | european championships | barcelona, spain | 13th (q) | 1.90 m
row 7 : 2011 | universiade | shenzhen, china | 4th | 1.86 m
row 8 : 2012 | world indoor championships | istanbul, turkey | 9th (q) | 1.92 m
row 9 : 2012 | european championships | helsinki, finland | 3rd | 1.92 m
row 10 : 2012 | olympic games | london, united kingdom | 10th | 1.93 m
row 11 : 2013 | world championships | moscow, russia | 9th | 1.93 m
row 12 : 2014 | world indoor championships | sopot, poland | 13th (q) | 1.92 m ] Execute this SQL based on the above table: select position where year = 2009 | 5th |
[ header: year | english title | japanese | romanization | type row 1 : 1991 | (toppu! minipato ta | 突風! ミニハト隊 アイキャッチ・シャンクション | toppu! minipato tai | video
row 2 : 1991 | (redi hanta: kor | レティハンター 殺しのフレュート | redi hanta: koro | video
row 3 : 1995 | (daisan no gokudo | 第三の極道 | daisan no gokudo | video
row 4 : 1995 | osaka tough guys | なにわ遊侠伝 | naniwa yukyo | video
row 5 : 1996 | the way to fight | 喧嘩の花道 大阪最強伝説 | kenka no hanamichi: | video
row 6 : 1997 | full metal yakuza | full metal 極道 | full metal gokudo | video
row 7 : 1998 | the bird people in china | 中国の鳥人 | chugoku no chojin | film
row 8 : 1998 | blues harp | blues harp | None | film
row 9 : 1999 | man, a natural girl | 天然少女萬 | tennen shojo man | tv
row 10 : 1999 | ley lines | 日本黒社会 | nihon kuroshaka | film
row 11 : 1999 | salaryman kintaro white collar worker | サラリーマン金太郎 | sarariiman kintaro | film
row 12 : 2000 | the making of 'gemini' | (unknown) | tsukamoto shin' | tv documentary
row 13 : 2001 | ichi the killer | 殺し屋1 | koroshiya 1 | film
row 14 : 2002 | dead or alive: final | dead or alive final | None | film
row 15 : 2002 | (onna kunishu ikk | おんな 国衆一揆 | onna kunishu ikk | (unknown)
row 16 : 2003 | koshonin | 交渉人 | koshonin | tv
row 17 : 2004 | zebraman | セフラーマン | zeburaman | film
row 18 : 2006 | big bang love, juvenile a 4.6 | 46億年の恋 | 46-okunen no koi | film
row 19 : 2006 | imprint episode from masters of horror | インフリント ~ほっけえ、きょうてえ~ | inpurinto ~bokke ky | tv episode
row 20 : 2006 | waru: kanketsu-hen | None | waru: kanketsu-hen | video
row 21 : 2009 | crows zero 2 | クロースzero 2 | kurozu zero 2 | film
row 22 : 2011 | hara-kiri: death of a | 一命 | ichimei | film
row 23 : 2012 | ace attorney | 逆転裁判 | gyakuten saiban | film
row 24 : 2013 | shield of straw | 藁の楯 | wara no tate | film ] Execute this SQL based on the above table: select english title where english title in ( 'waru: kanketsu-hen' , 'crows zero 2' ) order by year asc limit 1 | waru: kanketsu-hen |
[ header: first issued | design | slogan | serial format | serials issued | notes row 1 : 1957-65 (odd years only) | embossed white on forest green with uncolored | see embossed in same letters as vermont | 12345 (rounded numbers) | None | alternated with white plates from 1957 to 1966
row 2 : 1958-66 (even years only) | embossed forest green on white with uncolored | see embossed in same letters as vermont | 12345 (rounded numbers) a12 | None | alternated with forest green plates from 1957 to 1966
row 3 : 1967 | embossed white on green with border line; | none | 1234 a-1234 1234-a | None | color changed from forest green to the kelly
row 4 : 1969 | embossed white on green with border line; | see embossed in lower left corner | 1234 a-1234 1234-a | None | see returned to plate
row 5 : 1972 | embossed white on green with border line; | see embossed in top left corner | a-1234 1234-a ab- | None | None
row 6 : 1976 | embossed white on green with border line; | green mountains embossed in thin block letters | a-1234 1234-a ab123 | None | None
row 7 : 1977 | embossed white on green with beveled | green mountain state screened in white plain serif | 123a4 (rounded numbers) | None | None
row 8 : 1985 | embossed white on green with beveled | green mountain state screened in white plain serif | 1a234 123a4 1a | 1a100 to 9y999 100a1 | the "1aa" series never reached 1 ] Execute this SQL based on the above table: select count ( design ) where slogan = 'see embossed in lower left corner' | 1 |
[ header: staple: | maize / corn | rice | wheat | potato | cassava | soybean (green) | sweet potato | sorghum | yam | plantain row 1 : component (per 100g portion) | amount | amount | amount | amount | amount | amount | amount | amount | amount | amount
row 2 : water (g) | 10 | 12 | 13 | 79 | 60 | 68 | 77 | 9 | 70 | 65
row 3 : energy (kj) | 1528 | 1528 | 1369 | 322 | 670 | 615 | 360 | 1419 | 494 | 511
row 4 : protein (g) | 9.4 | 7.1 | 12.6 | 2 | 1.4 | 13 | 1.6 | 11.3 | 1.5 | 1.3
row 5 : fat (g) | 4.74 | 0.66 | 1.54 | 0.09 | 0.28 | 6.8 | 0.05 | 3.3 | 0.17 | 0.37
row 6 : carbohydrates (g) | 74 | 80 | 71 | 17 | 38 | 11 | 20 | 75 | 28 | 32
row 7 : fiber (g) | 7.3 | 1.3 | 12.2 | 2.2 | 1.8 | 4.2 | 3 | 6.3 | 4.1 | 2.3
row 8 : sugar (g) | 0.64 | 0.12 | 0.41 | 0.78 | 1.7 | 0 | 4.18 | 0 | 0.5 | 15
row 9 : calcium (mg) | 7 | 28 | 29 | 12 | 16 | 197 | 30 | 28 | 17 | 3
row 10 : iron (mg) | 2.71 | 0.8 | 3.19 | 0.78 | 0.27 | 3.55 | 0.61 | 4.4 | 0.54 | 0.6
row 11 : phosphorus (mg) | 210 | 115 | 288 | 57 | 27 | 194 | 47 | 287 | 55 | 34
row 12 : potassium (mg) | 287 | 115 | 363 | 421 | 271 | 620 | 337 | 350 | 816 | 499
row 13 : sodium (mg) | 35 | 5 | 2 | 6 | 14 | 15 | 55 | 6 | 9 | 4
row 14 : zinc (mg) | 2.21 | 1.09 | 2.65 | 0.29 | 0.34 | 0.99 | 0.3 | 0 | 0.24 | 0.14
row 15 : copper (mg) | 0.31 | 0.22 | 0.43 | 0.11 | 0.1 | 0.13 | 0.15 | None | 0.18 | 0.08
row 16 : manganese (mg) | 0.49 | 1.09 | 3.99 | 0.15 | 0.38 | 0.55 | 0.26 | None | 0.4 | None
row 17 : selenium (μg) | 15.5 | 15.1 | 70.7 | 0.3 | 0.7 | 1.5 | 0.6 | 0 | 0.7 | 1.5
row 18 : vitamin c (mg) | 0 | 0 | 0 | 19.7 | 20.6 | 29 | 2.4 | 0 | 17.1 | 18.4
row 19 : thiamin (mg) | 0.39 | 0.07 | 0.3 | 0.08 | 0.09 | 0.44 | 0.08 | 0.24 | 0.11 | 0.05
row 20 : riboflavin (mg) | 0.2 | 0.05 | 0.12 | 0.03 | 0.05 | 0.18 | 0.06 | 0.14 | 0.03 | 0.05
row 21 : pantothenic acid (mg) | 0.42 | 1.01 | 0.95 | 0.3 | 0.11 | 0.15 | 0.8 | None | 0.31 | 0.26
row 22 : vitamin b6 (mg) | 0.62 | 0.16 | 0.3 | 0.3 | 0.09 | 0.07 | 0.21 | None | 0.29 | 0.3
row 23 : folate total (μg) | 19 | 8 | 38 | 16 | 27 | 165 | 11 | 0 | 23 | 22
row 24 : vitamin a (iu) | 214 | 0 | 9 | 2 | 13 | 180 | 14187 | 0 | 138 | 1127 ] Execute this SQL based on the above table: select count ( staple: ) where wheat >= 0 | 24 |
[ 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 max ( sales ) | 1844000.0 |
[ header: region | seed | team | coach | finished | final opponent | score row 1 : west | 4 | unlv | jerry tarkanian | sweet sixteen | 8 auburn | l 70-63
row 2 : west | 8 | auburn | sonny smith | regional runner-up | 2 louisville | l 84-76
row 3 : west | 11 | missouri | norm stewart | round of 64 | 6 uab | l 66-64
row 4 : west | 13 | northeast louisiana | mike vining | round of 64 | 4 unlv | l 74-51
row 5 : west | 14 | utah | lynn archibald | round of 64 | 3 north carolina | l 84-72
row 6 : midwest | 1 | kansas | larry brown | national semifinals | 1 duke | l 71-67
row 7 : midwest | 3 | notre dame | digger phelps | round of 64 | 14 arkansas-little rock | l 90-83
row 8 : midwest | 4 | georgetown | john thompson | round of 32 | 5 michigan state | l 80-68
row 9 : midwest | 5 | michigan state | jud heathcote | sweet sixteen | 1 kansas | l 96-86
row 10 : midwest | 6 | north carolina state | jim valvano | regional runner-up | 1 kansas | l 75-67
row 11 : midwest | 7 | iowa state | johnny orr | sweet sixteen | 6 north carolina state | l 70-66
row 12 : midwest | 8 | jacksonville | bob wenzel | round of 64 | 9 temple | l 61-50
row 13 : midwest | 10 | miami, ohio | jerry peirson | round of 64 | 7 iowa state | l 81-79
row 14 : midwest | 12 | washington | andy russo | round of 64 | 5 michigan state | l 72-70
row 15 : midwest | 13 | texas tech | gerald myers | round of 64 | 4 georgetown | l 70-64
row 16 : midwest | 14 | arkansas-little rock | mike newell | round of 32 | 6 north carolina state | l 80-66
row 17 : southeast | 3 | memphis state (vacated) | dana kirk | round of 32 | 11 lsu | l 83-81
row 18 : southeast | 6 | purdue | gene keady | round of 64 | 11 lsu | l 94-87
row 19 : southeast | 8 | western kentucky | clem haskins | round of 32 | 1 kentucky | l 71-64
row 20 : southeast | 9 | nebraska | moe iba | round of 64 | 8 western kentucky | l 67-59
row 21 : southeast | 13 | fairfield | mitch buonaguro | round of 64 | 4 illinois | l 75-51
row 22 : southeast | 15 | marist | matt furjanic | round of 64 | 2 georgia tech | l 68-53
row 23 : east | 1 | duke | mike krzyzewski | runner up | 2 louisville | l 72-69
row 24 : east | 2 | syracuse | jim boeheim | round of 32 | 7 navy | l 97-85
row 25 : east | 3 | indiana | bob knight | round of 64 | 14 cleveland state | l 83-79
row 26 : east | 8 | old dominion | tom young | round of 32 | 1 duke | l 89-61 ] Execute this SQL based on the above table: select sum ( region + final opponent ) | 143 |
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