instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
sequence
attention_mask
sequence
labels
sequence
How many tags per question.
SELECT Posts.Id AS "post_link", LENGTH(Tags) - LENGTH(REPLACE(Tags, '<', '')) AS TagCount FROM Posts WHERE PostTypeId = 1
[ 2437, 867, 15940, 583, 1808, 13, 46506, 12043, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 406, 49494, 7, 36142, 8, 532, 406, 49494, 7, 2200, 6489, 11598, 7, 36142, 11, 705, 27, 3256, 10148, 4008, 7054, 17467, 12332, 16034, 12043, 33411, 2947, 6030, 7390, 796, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 15940, 583, 1808, 13, 46506, 12043, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 406, 49494, 7, 36142, 8, 532, 406, 49494, 7, 2200, 6489, 11598, 7, 36142, 11, 705, 27, 3256, 10148, 4008, 7054, 17467, 12332, 16034, 12043, 33411, 2947, 6030, 7390, 796, 352 ]
what is the competition when the result is 1-1 and venue is gwangju?
SELECT competition FROM table_name_35 WHERE result = "1-1" AND venue = "gwangju"
[ 10919, 318, 262, 5449, 618, 262, 1255, 318, 352, 12, 16, 290, 14359, 318, 308, 47562, 14396, 30, 46506, 5449, 16034, 3084, 62, 3672, 62, 2327, 33411, 1255, 796, 366, 16, 12, 16, 1, 5357, 14359, 796, 366, 70, 47562, 14396, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 5449, 618, 262, 1255, 318, 352, 12, 16, 290, 14359, 318, 308, 47562, 14396, 30, 46506, 5449, 16034, 3084, 62, 3672, 62, 2327, 33411, 1255, 796, 366, 16, 12, 16, 1, 5357, 14359, 796, 366, 70, 47562, 14396, 1 ]
give me the number of patients with diagnosis icd9 code 53190 who died in or before 2138.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2138.0" AND diagnoses.icd9_code = "53190"
[ 26535, 502, 262, 1271, 286, 3871, 351, 13669, 14158, 67, 24, 2438, 7192, 19782, 508, 3724, 287, 393, 878, 362, 20107, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 375, 62, 1941, 19841, 366, 17, 20107, 13, 15, 1, 5357, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 4310, 19782, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 26535, 502, 262, 1271, 286, 3871, 351, 13669, 14158, 67, 24, 2438, 7192, 19782, 508, 3724, 287, 393, 878, 362, 20107, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 375, 62, 1941, 19841, 366, 17, 20107, 13, 15, 1, 5357, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 4310, 19782, 1 ]
Who played in group 12 when Group 9 played psid jombang?
SELECT "Group 12" FROM table_73122 WHERE "Group 9" = 'PSID Jombang'
[ 8241, 2826, 287, 1448, 1105, 618, 4912, 860, 2826, 26692, 312, 474, 2381, 648, 30, 46506, 366, 13247, 1105, 1, 16034, 3084, 62, 4790, 18376, 33411, 366, 13247, 860, 1, 796, 705, 3705, 2389, 449, 2381, 648, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 2826, 287, 1448, 1105, 618, 4912, 860, 2826, 26692, 312, 474, 2381, 648, 30, 46506, 366, 13247, 1105, 1, 16034, 3084, 62, 4790, 18376, 33411, 366, 13247, 860, 1, 796, 705, 3705, 2389, 449, 2381, 648, 6 ]
What is the score for set 2 when the time is 18:00 and the score of set 1 is 18 25?
SELECT "Set 2" FROM table_49825 WHERE "Time" = '18:00' AND "Set 1" = '18–25'
[ 2061, 318, 262, 4776, 329, 900, 362, 618, 262, 640, 318, 1248, 25, 405, 290, 262, 4776, 286, 900, 352, 318, 1248, 1679, 30, 46506, 366, 7248, 362, 1, 16034, 3084, 62, 36260, 1495, 33411, 366, 7575, 1, 796, 705, 1507, 25, 405, 6, 5357, 366, 7248, 352, 1, 796, 705, 1507, 1906, 1495, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4776, 329, 900, 362, 618, 262, 640, 318, 1248, 25, 405, 290, 262, 4776, 286, 900, 352, 318, 1248, 1679, 30, 46506, 366, 7248, 362, 1, 16034, 3084, 62, 36260, 1495, 33411, 366, 7575, 1, 796, 705, 1507, 25, 405, 6, 5357, 366, 7248, 352, 1, 796, 705, 1507, 1906, 1495, 6 ]
A line chart for what are the number of the distinct visit dates?, rank by the X in ascending please.
SELECT Visit_Date, COUNT(Visit_Date) FROM Visits ORDER BY Visit_Date
[ 32, 1627, 8262, 329, 644, 389, 262, 1271, 286, 262, 7310, 3187, 9667, 21747, 4279, 416, 262, 1395, 287, 41988, 3387, 13, 46506, 16440, 62, 10430, 11, 327, 28270, 7, 31141, 62, 10430, 8, 16034, 6911, 896, 38678, 11050, 16440, 62, 10430 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 1627, 8262, 329, 644, 389, 262, 1271, 286, 262, 7310, 3187, 9667, 21747, 4279, 416, 262, 1395, 287, 41988, 3387, 13, 46506, 16440, 62, 10430, 11, 327, 28270, 7, 31141, 62, 10430, 8, 16034, 6911, 896, 38678, 11050, 16440, 62, 10430 ]
Which Tries against has Points for of 564?
SELECT "Tries against" FROM table_8549 WHERE "Points for" = '564'
[ 13828, 309, 1678, 1028, 468, 11045, 329, 286, 642, 2414, 30, 46506, 366, 51, 1678, 1028, 1, 16034, 3084, 62, 5332, 2920, 33411, 366, 40710, 329, 1, 796, 705, 20, 2414, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 309, 1678, 1028, 468, 11045, 329, 286, 642, 2414, 30, 46506, 366, 51, 1678, 1028, 1, 16034, 3084, 62, 5332, 2920, 33411, 366, 40710, 329, 1, 796, 705, 20, 2414, 6 ]
Who sponsored Greg Biffle's win on April 14?
SELECT "Sponsor" FROM table_58647 WHERE "Winning Driver" = 'greg biffle' AND "Date" = 'april 14'
[ 8241, 15901, 8547, 347, 733, 293, 338, 1592, 319, 3035, 1478, 30, 46506, 366, 43522, 273, 1, 16034, 3084, 62, 3365, 33981, 33411, 366, 16643, 768, 12434, 1, 796, 705, 9903, 275, 733, 293, 6, 5357, 366, 10430, 1, 796, 705, 499, 22379, 1478, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 15901, 8547, 347, 733, 293, 338, 1592, 319, 3035, 1478, 30, 46506, 366, 43522, 273, 1, 16034, 3084, 62, 3365, 33981, 33411, 366, 16643, 768, 12434, 1, 796, 705, 9903, 275, 733, 293, 6, 5357, 366, 10430, 1, 796, 705, 499, 22379, 1478, 6 ]
Show the total number from each document type code, could you show by the X-axis in desc please?
SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code ORDER BY Document_Type_Code DESC
[ 15307, 262, 2472, 1271, 422, 1123, 3188, 2099, 2438, 11, 714, 345, 905, 416, 262, 1395, 12, 22704, 287, 1715, 3387, 30, 46506, 16854, 62, 6030, 62, 10669, 11, 327, 28270, 7, 28104, 16034, 33267, 44441, 11050, 16854, 62, 6030, 62, 10669, 38678, 11050, 16854, 62, 6030, 62, 10669, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 262, 2472, 1271, 422, 1123, 3188, 2099, 2438, 11, 714, 345, 905, 416, 262, 1395, 12, 22704, 287, 1715, 3387, 30, 46506, 16854, 62, 6030, 62, 10669, 11, 327, 28270, 7, 28104, 16034, 33267, 44441, 11050, 16854, 62, 6030, 62, 10669, 38678, 11050, 16854, 62, 6030, 62, 10669, 22196, 34 ]
Average Age of Users with Pic and Python.
SELECT AVG(Age) FROM Users WHERE (AboutMe LIKE '%python%' OR AboutMe LIKE '%Python%') AND NOT ProfileImageUrl IS NULL
[ 26287, 7129, 286, 18987, 351, 15085, 290, 11361, 13, 46506, 35224, 7, 23396, 8, 16034, 18987, 33411, 357, 8585, 5308, 34178, 705, 4, 29412, 4, 6, 6375, 7994, 5308, 34178, 705, 4, 37906, 4, 11537, 5357, 5626, 13118, 5159, 28165, 3180, 15697 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 26287, 7129, 286, 18987, 351, 15085, 290, 11361, 13, 46506, 35224, 7, 23396, 8, 16034, 18987, 33411, 357, 8585, 5308, 34178, 705, 4, 29412, 4, 6, 6375, 7994, 5308, 34178, 705, 4, 37906, 4, 11537, 5357, 5626, 13118, 5159, 28165, 3180, 15697 ]
What is the official name and status of the city with the most residents?
SELECT official_name, status FROM city ORDER BY population DESC LIMIT 1
[ 2061, 318, 262, 1743, 1438, 290, 3722, 286, 262, 1748, 351, 262, 749, 5085, 30, 46506, 1743, 62, 3672, 11, 3722, 16034, 1748, 38678, 11050, 3265, 22196, 34, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1743, 1438, 290, 3722, 286, 262, 1748, 351, 262, 749, 5085, 30, 46506, 1743, 62, 3672, 11, 3722, 16034, 1748, 38678, 11050, 3265, 22196, 34, 27564, 2043, 352 ]
what is the number of patients with s/p fall primary disease who had cerebrospinal fluid lab test?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "S/P FALL" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
[ 10919, 318, 262, 1271, 286, 3871, 351, 264, 14, 79, 2121, 4165, 4369, 508, 550, 6736, 7957, 2777, 1292, 11711, 2248, 1332, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 47356, 5958, 796, 366, 50, 14, 47, 376, 7036, 1, 5357, 2248, 13, 35522, 312, 796, 366, 34, 567, 7957, 2777, 1292, 1610, 27112, 357, 7902, 37, 16725 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 1271, 286, 3871, 351, 264, 14, 79, 2121, 4165, 4369, 508, 550, 6736, 7957, 2777, 1292, 11711, 2248, 1332, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 47356, 5958, 796, 366, 50, 14, 47, 376, 7036, 1, 5357, 2248, 13, 35522, 312, 796, 366, 34, 567, 7957, 2777, 1292, 1610, 27112, 357, 7902, 37, 16725 ]
what 's the last flight leaving from PITTSBURGH to OAKLAND
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time = (SELECT MAX(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'PITTSBURGH' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'OAKLAND' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code)
[ 10919, 705, 82, 262, 938, 5474, 4305, 422, 49040, 4694, 38926, 17511, 284, 440, 10206, 28182, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 357, 34, 9050, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 47, 2043, 4694, 38926 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 705, 82, 262, 938, 5474, 4305, 422, 49040, 4694, 38926, 17511, 284, 440, 10206, 28182, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 357, 34, 9050, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 47, 2043, 4694, 38926 ]
SELECT * FROM Users WHERE LastAccessDate < '2014-01-01';.
SELECT * FROM Users WHERE LastAccessDate < '2014-01-01'
[ 46506, 1635, 16034, 18987, 33411, 4586, 15457, 10430, 1279, 705, 4967, 12, 486, 12, 486, 17020, 13, 46506, 1635, 16034, 18987, 33411, 4586, 15457, 10430, 1279, 705, 4967, 12, 486, 12, 486, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 46506, 1635, 16034, 18987, 33411, 4586, 15457, 10430, 1279, 705, 4967, 12, 486, 12, 486, 17020, 13, 46506, 1635, 16034, 18987, 33411, 4586, 15457, 10430, 1279, 705, 4967, 12, 486, 12, 486, 6 ]
which of these countries is ranked first ?
SELECT "nation" FROM table_203_113 ORDER BY "rank" LIMIT 1
[ 4758, 286, 777, 2678, 318, 10307, 717, 5633, 46506, 366, 25729, 1, 16034, 3084, 62, 22416, 62, 16616, 38678, 11050, 366, 43027, 1, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4758, 286, 777, 2678, 318, 10307, 717, 5633, 46506, 366, 25729, 1, 16034, 3084, 62, 22416, 62, 16616, 38678, 11050, 366, 43027, 1, 27564, 2043, 352 ]
Show origins of all flights with destination Honolulu.
SELECT origin FROM Flight WHERE destination = "Honolulu"
[ 15307, 15587, 286, 477, 13956, 351, 10965, 43296, 13, 46506, 8159, 16034, 13365, 33411, 10965, 796, 366, 29478, 39814, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 15587, 286, 477, 13956, 351, 10965, 43296, 13, 46506, 8159, 16034, 13365, 33411, 10965, 796, 366, 29478, 39814, 1 ]
What type of surface was used where the final score was 6 2, 6 3?
SELECT "Surface" FROM table_11692 WHERE "Score in the final" = '6–2, 6–3'
[ 2061, 2099, 286, 4417, 373, 973, 810, 262, 2457, 4776, 373, 718, 362, 11, 718, 513, 30, 46506, 366, 14214, 2550, 1, 16034, 3084, 62, 1157, 46589, 33411, 366, 26595, 287, 262, 2457, 1, 796, 705, 21, 1906, 17, 11, 718, 1906, 18, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 2099, 286, 4417, 373, 973, 810, 262, 2457, 4776, 373, 718, 362, 11, 718, 513, 30, 46506, 366, 14214, 2550, 1, 16034, 3084, 62, 1157, 46589, 33411, 366, 26595, 287, 262, 2457, 1, 796, 705, 21, 1906, 17, 11, 718, 1906, 18, 6 ]
What is the reg gp of the player with a round number less than 2?
SELECT SUM("Reg GP") FROM table_57105 WHERE "Rd #" < '2'
[ 2061, 318, 262, 842, 27809, 286, 262, 2137, 351, 257, 2835, 1271, 1342, 621, 362, 30, 46506, 35683, 7203, 8081, 14714, 4943, 16034, 3084, 62, 3553, 13348, 33411, 366, 49, 67, 1303, 1, 1279, 705, 17, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 842, 27809, 286, 262, 2137, 351, 257, 2835, 1271, 1342, 621, 362, 30, 46506, 35683, 7203, 8081, 14714, 4943, 16034, 3084, 62, 3553, 13348, 33411, 366, 49, 67, 1303, 1, 1279, 705, 17, 6 ]
What's the tie number of Chelsea when they were home?
SELECT tie_no FROM table_name_96 WHERE home_team = "chelsea"
[ 2061, 338, 262, 9839, 1271, 286, 12147, 618, 484, 547, 1363, 30, 46506, 9839, 62, 3919, 16034, 3084, 62, 3672, 62, 4846, 33411, 1363, 62, 15097, 796, 366, 29232, 8583, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 338, 262, 9839, 1271, 286, 12147, 618, 484, 547, 1363, 30, 46506, 9839, 62, 3919, 16034, 3084, 62, 3672, 62, 4846, 33411, 1363, 62, 15097, 796, 366, 29232, 8583, 1 ]
What was the attendance at the week 2 game?
SELECT attendance FROM table_name_89 WHERE week = 2
[ 2061, 373, 262, 14858, 379, 262, 1285, 362, 983, 30, 46506, 14858, 16034, 3084, 62, 3672, 62, 4531, 33411, 1285, 796, 362 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 14858, 379, 262, 1285, 362, 983, 30, 46506, 14858, 16034, 3084, 62, 3672, 62, 4531, 33411, 1285, 796, 362 ]
A pie chart about the proportion of the total number for each team.
SELECT Team, COUNT(*) FROM Elimination GROUP BY Team
[ 32, 2508, 8262, 546, 262, 9823, 286, 262, 2472, 1271, 329, 1123, 1074, 13, 46506, 4816, 11, 327, 28270, 7, 28104, 16034, 27405, 1883, 44441, 11050, 4816 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2508, 8262, 546, 262, 9823, 286, 262, 2472, 1271, 329, 1123, 1074, 13, 46506, 4816, 11, 327, 28270, 7, 28104, 16034, 27405, 1883, 44441, 11050, 4816 ]
rosen _ modified hachinski ischemia score >= 4
SELECT * FROM table_train_106 WHERE rosen_modified_hachinski_ischemic_score >= 4
[ 4951, 268, 4808, 9518, 289, 620, 21141, 318, 15245, 544, 4776, 18189, 604, 46506, 1635, 16034, 3084, 62, 27432, 62, 15801, 33411, 686, 6248, 62, 41771, 62, 71, 620, 21141, 62, 2304, 4411, 291, 62, 26675, 18189, 604 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4951, 268, 4808, 9518, 289, 620, 21141, 318, 15245, 544, 4776, 18189, 604, 46506, 1635, 16034, 3084, 62, 27432, 62, 15801, 33411, 686, 6248, 62, 41771, 62, 71, 620, 21141, 62, 2304, 4411, 291, 62, 26675, 18189, 604 ]
Tell me the lowest bronze for panama and total larger than 8
SELECT MIN(bronze) FROM table_name_84 WHERE nation = "panama" AND total > 8
[ 24446, 502, 262, 9016, 22101, 329, 3425, 1689, 290, 2472, 4025, 621, 807, 46506, 20625, 7, 65, 1313, 2736, 8, 16034, 3084, 62, 3672, 62, 5705, 33411, 3277, 796, 366, 6839, 1689, 1, 5357, 2472, 1875, 807 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 24446, 502, 262, 9016, 22101, 329, 3425, 1689, 290, 2472, 4025, 621, 807, 46506, 20625, 7, 65, 1313, 2736, 8, 16034, 3084, 62, 3672, 62, 5705, 33411, 3277, 796, 366, 6839, 1689, 1, 5357, 2472, 1875, 807 ]
list all flights from ORLANDO to KANSAS CITY then to MINNEAPOLIS
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MINNEAPOLIS' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'KANSAS CITY' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ORLANDO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
[ 4868, 477, 13956, 422, 6375, 28182, 46, 284, 509, 15037, 1921, 27993, 788, 284, 20625, 12161, 2969, 3535, 1797, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 17, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 1748, 7054, 27993, 62, 17, 11, 5474, 11, 5474, 62, 11338, 33411, 357, 34, 9050, 62, 16, 13, 19205, 62, 8189, 796 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4868, 477, 13956, 422, 6375, 28182, 46, 284, 509, 15037, 1921, 27993, 788, 284, 20625, 12161, 2969, 3535, 1797, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 17, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 1748, 7054, 27993, 62, 17, 11, 5474, 11, 5474, 62, 11338, 33411, 357, 34, 9050, 62, 16, 13, 19205, 62, 8189, 796 ]
what was the marital status of patient 45321 on their first hospital visit?
SELECT admissions.marital_status FROM admissions WHERE admissions.subject_id = 45321 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1
[ 10919, 373, 262, 29555, 3722, 286, 5827, 4153, 36453, 319, 511, 717, 4436, 3187, 30, 46506, 25349, 13, 3876, 1287, 62, 13376, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 4153, 36453, 5357, 5626, 25349, 13, 6381, 354, 2435, 3180, 15697, 38678, 11050, 25349, 13, 324, 20124, 524, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 262, 29555, 3722, 286, 5827, 4153, 36453, 319, 511, 717, 4436, 3187, 30, 46506, 25349, 13, 3876, 1287, 62, 13376, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 4153, 36453, 5357, 5626, 25349, 13, 6381, 354, 2435, 3180, 15697, 38678, 11050, 25349, 13, 324, 20124, 524, 27564, 2043, 352 ]
Visualize a bar chart about the distribution of ACC_Regular_Season and Team_ID , and I want to rank x axis in asc order.
SELECT ACC_Regular_Season, Team_ID FROM basketball_match ORDER BY ACC_Regular_Season
[ 36259, 1096, 257, 2318, 8262, 546, 262, 6082, 286, 15859, 62, 40164, 62, 18960, 290, 4816, 62, 2389, 837, 290, 314, 765, 284, 4279, 2124, 16488, 287, 10570, 1502, 13, 46506, 15859, 62, 40164, 62, 18960, 11, 4816, 62, 2389, 16034, 9669, 62, 15699, 38678, 11050, 15859, 62, 40164, 62, 18960 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 36259, 1096, 257, 2318, 8262, 546, 262, 6082, 286, 15859, 62, 40164, 62, 18960, 290, 4816, 62, 2389, 837, 290, 314, 765, 284, 4279, 2124, 16488, 287, 10570, 1502, 13, 46506, 15859, 62, 40164, 62, 18960, 11, 4816, 62, 2389, 16034, 9669, 62, 15699, 38678, 11050, 15859, 62, 40164, 62, 18960 ]
What is the highes win % that manager juan carlos ch vez's team had when they lost less than 4 times?
SELECT MAX("Win %") FROM table_62131 WHERE "Manager" = 'juan carlos chávez' AND "Lost" < '4'
[ 2061, 318, 262, 1880, 956, 1592, 4064, 326, 4706, 474, 7258, 1097, 33280, 442, 1569, 89, 338, 1074, 550, 618, 484, 2626, 1342, 621, 604, 1661, 30, 46506, 25882, 7203, 16643, 4064, 4943, 16034, 3084, 62, 5237, 22042, 33411, 366, 13511, 1, 796, 705, 73, 7258, 1097, 33280, 442, 6557, 33425, 6, 5357, 366, 31042, 1, 1279, 705, 19, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1880, 956, 1592, 4064, 326, 4706, 474, 7258, 1097, 33280, 442, 1569, 89, 338, 1074, 550, 618, 484, 2626, 1342, 621, 604, 1661, 30, 46506, 25882, 7203, 16643, 4064, 4943, 16034, 3084, 62, 5237, 22042, 33411, 366, 13511, 1, 796, 705, 73, 7258, 1097, 33280, 442, 6557, 33425, 6, 5357, 366, 31042, 1, 1279, 705, 19, 6 ]
Points smaller than 96, and a Record of 43 16 8 belongs to what game?
SELECT "Game" FROM table_35022 WHERE "Points" < '96' AND "Record" = '43–16–8'
[ 40710, 4833, 621, 9907, 11, 290, 257, 13266, 286, 5946, 1467, 807, 14448, 284, 644, 983, 30, 46506, 366, 8777, 1, 16034, 3084, 62, 14877, 1828, 33411, 366, 40710, 1, 1279, 705, 4846, 6, 5357, 366, 23739, 1, 796, 705, 3559, 1906, 1433, 1906, 23, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 40710, 4833, 621, 9907, 11, 290, 257, 13266, 286, 5946, 1467, 807, 14448, 284, 644, 983, 30, 46506, 366, 8777, 1, 16034, 3084, 62, 14877, 1828, 33411, 366, 40710, 1, 1279, 705, 4846, 6, 5357, 366, 23739, 1, 796, 705, 3559, 1906, 1433, 1906, 23, 6 ]
tell me the first time that patient 87942 had a pt lab test in the last hospital visit?
SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'pt') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 87942 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) ORDER BY labevents.charttime LIMIT 1
[ 33331, 502, 262, 717, 640, 326, 5827, 807, 3720, 3682, 550, 257, 42975, 2248, 1332, 287, 262, 938, 4436, 3187, 30, 46506, 2248, 31534, 13, 40926, 2435, 16034, 2248, 31534, 33411, 2248, 31534, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23912, 23814, 13, 9186, 312, 16034, 288, 62, 23912, 23814, 33411, 288, 62, 23912, 23814, 13, 18242, 796, 705, 457, 11537, 5357, 2248, 31534, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 807, 3720, 3682, 5357, 5626, 25349, 13, 6381, 354, 2435, 3180, 15697 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33331, 502, 262, 717, 640, 326, 5827, 807, 3720, 3682, 550, 257, 42975, 2248, 1332, 287, 262, 938, 4436, 3187, 30, 46506, 2248, 31534, 13, 40926, 2435, 16034, 2248, 31534, 33411, 2248, 31534, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23912, 23814, 13, 9186, 312, 16034, 288, 62, 23912, 23814, 33411, 288, 62, 23912, 23814, 13, 18242, 796, 705, 457, 11537, 5357, 2248, 31534, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 807, 3720, 3682, 5357, 5626, 25349, 13, 6381, 354, 2435, 3180, 15697 ]
Return a scatter chart about the correlation between People_ID and Height .
SELECT People_ID, Height FROM people
[ 13615, 257, 41058, 8262, 546, 262, 16096, 1022, 4380, 62, 2389, 290, 27280, 764, 46506, 4380, 62, 2389, 11, 27280, 16034, 661 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13615, 257, 41058, 8262, 546, 262, 16096, 1022, 4380, 62, 2389, 290, 27280, 764, 46506, 4380, 62, 2389, 11, 27280, 16034, 661 ]
how many patients who had emergency admission have procedure icd9 code 5198?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.icd9_code = "5198"
[ 4919, 867, 3871, 508, 550, 6334, 13938, 423, 8771, 14158, 67, 24, 2438, 642, 22337, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 20, 22337, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 508, 550, 6334, 13938, 423, 8771, 14158, 67, 24, 2438, 642, 22337, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 20, 22337, 1 ]
How often are the Olympic games hosted?
SELECT AVG(year) FROM table_name_74 WHERE tournament = "olympic games"
[ 2437, 1690, 389, 262, 11514, 1830, 12007, 30, 46506, 35224, 7, 1941, 8, 16034, 3084, 62, 3672, 62, 4524, 33411, 7756, 796, 366, 3366, 3149, 291, 1830, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 1690, 389, 262, 11514, 1830, 12007, 30, 46506, 35224, 7, 1941, 8, 16034, 3084, 62, 3672, 62, 4524, 33411, 7756, 796, 366, 3366, 3149, 291, 1830, 1 ]
what's the first elected with incumbent being joe starnes
SELECT first_elected FROM table_1342270_3 WHERE incumbent = "Joe Starnes"
[ 10919, 338, 262, 717, 7018, 351, 23526, 852, 2525, 68, 336, 1501, 274, 46506, 717, 62, 28604, 16034, 3084, 62, 19880, 1828, 2154, 62, 18, 33411, 23526, 796, 366, 19585, 520, 1501, 274, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 338, 262, 717, 7018, 351, 23526, 852, 2525, 68, 336, 1501, 274, 46506, 717, 62, 28604, 16034, 3084, 62, 19880, 1828, 2154, 62, 18, 33411, 23526, 796, 366, 19585, 520, 1501, 274, 1 ]
Does the city of moline have stereo?
SELECT stereo FROM table_25034983_2 WHERE city = "Moline"
[ 13921, 262, 1748, 286, 285, 14453, 423, 24820, 30, 46506, 24820, 16034, 3084, 62, 9031, 2682, 4089, 18, 62, 17, 33411, 1748, 796, 366, 44, 14453, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13921, 262, 1748, 286, 285, 14453, 423, 24820, 30, 46506, 24820, 16034, 3084, 62, 9031, 2682, 4089, 18, 62, 17, 33411, 1748, 796, 366, 44, 14453, 1 ]
Draw a bar chart about the distribution of Time and ID , rank by the bars from low to high.
SELECT Time, ID FROM swimmer ORDER BY Time
[ 25302, 257, 2318, 8262, 546, 262, 6082, 286, 3862, 290, 4522, 837, 4279, 416, 262, 9210, 422, 1877, 284, 1029, 13, 46506, 3862, 11, 4522, 16034, 9422, 647, 38678, 11050, 3862 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 25302, 257, 2318, 8262, 546, 262, 6082, 286, 3862, 290, 4522, 837, 4279, 416, 262, 9210, 422, 1877, 284, 1029, 13, 46506, 3862, 11, 4522, 16034, 9422, 647, 38678, 11050, 3862 ]
What is Place, when Score is '70-68=138', and when Player is 'Andrew Magee'?
SELECT "Place" FROM table_60730 WHERE "Score" = '70-68=138' AND "Player" = 'andrew magee'
[ 2061, 318, 8474, 11, 618, 15178, 318, 705, 2154, 12, 3104, 28, 20107, 3256, 290, 618, 7853, 318, 705, 20508, 17323, 68, 30960, 46506, 366, 27271, 1, 16034, 3084, 62, 31980, 1270, 33411, 366, 26595, 1, 796, 705, 2154, 12, 3104, 28, 20107, 6, 5357, 366, 14140, 1, 796, 705, 392, 1809, 29241, 68, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 8474, 11, 618, 15178, 318, 705, 2154, 12, 3104, 28, 20107, 3256, 290, 618, 7853, 318, 705, 20508, 17323, 68, 30960, 46506, 366, 27271, 1, 16034, 3084, 62, 31980, 1270, 33411, 366, 26595, 1, 796, 705, 2154, 12, 3104, 28, 20107, 6, 5357, 366, 14140, 1, 796, 705, 392, 1809, 29241, 68, 6 ]
What is shown on Friday when Monday is Fox Sports Primetime?
SELECT friday FROM table_name_36 WHERE monday = "fox sports primetime"
[ 2061, 318, 3402, 319, 3217, 618, 3321, 318, 5426, 7092, 11460, 8079, 30, 46506, 1216, 2567, 16034, 3084, 62, 3672, 62, 2623, 33411, 285, 3204, 796, 366, 12792, 5701, 2684, 8079, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 3402, 319, 3217, 618, 3321, 318, 5426, 7092, 11460, 8079, 30, 46506, 1216, 2567, 16034, 3084, 62, 3672, 62, 2623, 33411, 285, 3204, 796, 366, 12792, 5701, 2684, 8079, 1 ]
What is the winner women and third is italy and runner-up is finland?
SELECT "Winner Women" FROM table_17481 WHERE "Third" = 'Italy' AND "Runner-up" = 'Finland'
[ 2061, 318, 262, 8464, 1466, 290, 2368, 318, 340, 3400, 290, 17490, 12, 929, 318, 957, 1044, 30, 46506, 366, 48056, 6926, 1, 16034, 3084, 62, 1558, 40271, 33411, 366, 22747, 1, 796, 705, 45001, 6, 5357, 366, 49493, 12, 929, 1, 796, 705, 18467, 1044, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 8464, 1466, 290, 2368, 318, 340, 3400, 290, 17490, 12, 929, 318, 957, 1044, 30, 46506, 366, 48056, 6926, 1, 16034, 3084, 62, 1558, 40271, 33411, 366, 22747, 1, 796, 705, 45001, 6, 5357, 366, 49493, 12, 929, 1, 796, 705, 18467, 1044, 6 ]
What percentage of The Bronx voters occured when Manhattan had 29.9% of voters?
SELECT "The Bronx" FROM table_127 WHERE "Manhattan" = '29.9%'
[ 2061, 5873, 286, 383, 32486, 4446, 1609, 1522, 618, 13458, 550, 2808, 13, 24, 4, 286, 4446, 30, 46506, 366, 464, 32486, 1, 16034, 3084, 62, 16799, 33411, 366, 5124, 12904, 1, 796, 705, 1959, 13, 24, 4, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 5873, 286, 383, 32486, 4446, 1609, 1522, 618, 13458, 550, 2808, 13, 24, 4, 286, 4446, 30, 46506, 366, 464, 32486, 1, 16034, 3084, 62, 16799, 33411, 366, 5124, 12904, 1, 796, 705, 1959, 13, 24, 4, 6 ]
what is admission type and diagnoses icd9 code of subject id 990?
SELECT demographic.admission_type, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "990"
[ 10919, 318, 13938, 2099, 290, 40567, 14158, 67, 24, 2438, 286, 2426, 4686, 860, 3829, 30, 46506, 16728, 13, 324, 3411, 62, 4906, 11, 40567, 13, 291, 67, 24, 62, 8189, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 32796, 62, 312, 796, 366, 34155, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 13938, 2099, 290, 40567, 14158, 67, 24, 2438, 286, 2426, 4686, 860, 3829, 30, 46506, 16728, 13, 324, 3411, 62, 4906, 11, 40567, 13, 291, 67, 24, 62, 8189, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 32796, 62, 312, 796, 366, 34155, 1 ]
how many patients whose discharge location is short term hospital and procedure icd9 code is 8604?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND procedures.icd9_code = "8604"
[ 4919, 867, 3871, 3025, 17655, 4067, 318, 1790, 3381, 4436, 290, 8771, 14158, 67, 24, 2438, 318, 807, 31916, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 9693, 9863, 28994, 44, 367, 47053, 40579, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 23, 31916, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 3025, 17655, 4067, 318, 1790, 3381, 4436, 290, 8771, 14158, 67, 24, 2438, 318, 807, 31916, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 9693, 9863, 28994, 44, 367, 47053, 40579, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 23, 31916, 1 ]
Name the hebrew for *ti -
SELECT "Hebrew" FROM table_29135 WHERE "Proto-Semitic" = '*tišʻ-'
[ 5376, 262, 339, 11269, 329, 1635, 20259, 532, 46506, 366, 1544, 11269, 1, 16034, 3084, 62, 1959, 17059, 33411, 366, 2964, 1462, 12, 28753, 1, 796, 705, 9, 20259, 32790, 134, 119, 19355 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 339, 11269, 329, 1635, 20259, 532, 46506, 366, 1544, 11269, 1, 16034, 3084, 62, 1959, 17059, 33411, 366, 2964, 1462, 12, 28753, 1, 796, 705, 9, 20259, 32790, 134, 119, 19355 ]
Provide the number of patients that survived and had the procedure with a long title of closure of skin and subcutaneous tissue of other sites.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Closure of skin and subcutaneous tissue of other sites"
[ 15946, 485, 262, 1271, 286, 3871, 326, 11803, 290, 550, 262, 8771, 351, 257, 890, 3670, 286, 16512, 286, 4168, 290, 850, 8968, 11655, 10712, 286, 584, 5043, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 1069, 5111, 62, 32109, 796, 366, 15, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 45398, 286, 4168, 290, 850, 8968, 11655, 10712, 286, 584, 5043, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15946, 485, 262, 1271, 286, 3871, 326, 11803, 290, 550, 262, 8771, 351, 257, 890, 3670, 286, 16512, 286, 4168, 290, 850, 8968, 11655, 10712, 286, 584, 5043, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 1069, 5111, 62, 32109, 796, 366, 15, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 45398, 286, 4168, 290, 850, 8968, 11655, 10712, 286, 584, 5043, 1 ]
Name the high assists for w 107 99 (ot)
SELECT "High assists" FROM table_29849 WHERE "Score" = 'W 107–99 (OT)'
[ 5376, 262, 1029, 13648, 329, 266, 16226, 7388, 357, 313, 8, 46506, 366, 11922, 13648, 1, 16034, 3084, 62, 27728, 2920, 33411, 366, 26595, 1, 796, 705, 54, 16226, 1906, 2079, 357, 2394, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 1029, 13648, 329, 266, 16226, 7388, 357, 313, 8, 46506, 366, 11922, 13648, 1, 16034, 3084, 62, 27728, 2920, 33411, 366, 26595, 1, 796, 705, 54, 16226, 1906, 2079, 357, 2394, 33047 ]
Name the english meaning for engey poringo
SELECT english_meaning FROM table_name_8 WHERE how_other_tamils_say_it = "engey poringo"
[ 5376, 262, 46932, 3616, 329, 551, 39608, 279, 3255, 78, 46506, 46932, 62, 24815, 16034, 3084, 62, 3672, 62, 23, 33411, 703, 62, 847, 62, 83, 321, 4487, 62, 16706, 62, 270, 796, 366, 3540, 88, 279, 3255, 78, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 46932, 3616, 329, 551, 39608, 279, 3255, 78, 46506, 46932, 62, 24815, 16034, 3084, 62, 3672, 62, 23, 33411, 703, 62, 847, 62, 83, 321, 4487, 62, 16706, 62, 270, 796, 366, 3540, 88, 279, 3255, 78, 1 ]
Name the Sales (billion $) which have a Company of exxonmobil?
SELECT sales__billion_$_ FROM table_name_70 WHERE company = "exxonmobil"
[ 5376, 262, 17329, 357, 24540, 720, 8, 543, 423, 257, 5834, 286, 409, 23813, 76, 25898, 30, 46506, 4200, 834, 24540, 62, 3, 62, 16034, 3084, 62, 3672, 62, 2154, 33411, 1664, 796, 366, 1069, 23813, 76, 25898, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 17329, 357, 24540, 720, 8, 543, 423, 257, 5834, 286, 409, 23813, 76, 25898, 30, 46506, 4200, 834, 24540, 62, 3, 62, 16034, 3084, 62, 3672, 62, 2154, 33411, 1664, 796, 366, 1069, 23813, 76, 25898, 1 ]
What is the masculine an form for the word with a feminine ending of siangar and a masculine u ending of sunar?
SELECT masculine_an_stems FROM table_name_49 WHERE feminine_ō_stems = "siangar" AND masculine_u_stems = "sunar"
[ 2061, 318, 262, 27543, 281, 1296, 329, 262, 1573, 351, 257, 23564, 7464, 286, 264, 15483, 283, 290, 257, 27543, 334, 7464, 286, 4252, 283, 30, 46506, 27543, 62, 272, 62, 927, 82, 16034, 3084, 62, 3672, 62, 2920, 33411, 23564, 62, 13090, 62, 927, 82, 796, 366, 13396, 648, 283, 1, 5357, 27543, 62, 84, 62, 927, 82, 796, 366, 19155, 283, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 27543, 281, 1296, 329, 262, 1573, 351, 257, 23564, 7464, 286, 264, 15483, 283, 290, 257, 27543, 334, 7464, 286, 4252, 283, 30, 46506, 27543, 62, 272, 62, 927, 82, 16034, 3084, 62, 3672, 62, 2920, 33411, 23564, 62, 13090, 62, 927, 82, 796, 366, 13396, 648, 283, 1, 5357, 27543, 62, 84, 62, 927, 82, 796, 366, 19155, 283, 1 ]
for the date of death , how many years difference is there for frank churchill compared to allen davey ?
SELECT ABS((SELECT "date of death" FROM table_203_17 WHERE "name" = 'frank churchill') - (SELECT "date of death" FROM table_203_17 WHERE "name" = 'allen davey'))
[ 1640, 262, 3128, 286, 1918, 837, 703, 867, 812, 3580, 318, 612, 329, 14346, 4928, 359, 3688, 284, 477, 268, 288, 1015, 88, 5633, 46506, 29950, 19510, 46506, 366, 4475, 286, 1918, 1, 16034, 3084, 62, 22416, 62, 1558, 33411, 366, 3672, 1, 796, 705, 8310, 962, 4928, 359, 11537, 532, 357, 46506, 366, 4475, 286, 1918, 1, 16034, 3084, 62, 22416, 62, 1558, 33411, 366, 3672, 1, 796, 705, 439, 268, 288, 1015, 88, 6, 4008 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1640, 262, 3128, 286, 1918, 837, 703, 867, 812, 3580, 318, 612, 329, 14346, 4928, 359, 3688, 284, 477, 268, 288, 1015, 88, 5633, 46506, 29950, 19510, 46506, 366, 4475, 286, 1918, 1, 16034, 3084, 62, 22416, 62, 1558, 33411, 366, 3672, 1, 796, 705, 8310, 962, 4928, 359, 11537, 532, 357, 46506, 366, 4475, 286, 1918, 1, 16034, 3084, 62, 22416, 62, 1558, 33411, 366, 3672, 1, 796, 705, 439, 268, 288, 1015, 88, 6, 4008 ]
What home team has a score of 5 - 5?
SELECT home_team FROM table_name_30 WHERE score = "5 - 5"
[ 2061, 1363, 1074, 468, 257, 4776, 286, 642, 532, 642, 30, 46506, 1363, 62, 15097, 16034, 3084, 62, 3672, 62, 1270, 33411, 4776, 796, 366, 20, 532, 642, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 1363, 1074, 468, 257, 4776, 286, 642, 532, 642, 30, 46506, 1363, 62, 15097, 16034, 3084, 62, 3672, 62, 1270, 33411, 4776, 796, 366, 20, 532, 642, 1 ]
Who performed with Tina Parekh?
SELECT main_contestant FROM table_18278508_2 WHERE co_contestant__yaar_vs_pyaar_ = "Tina Parekh"
[ 8241, 6157, 351, 35903, 350, 533, 14636, 30, 46506, 1388, 62, 3642, 395, 415, 16034, 3084, 62, 1507, 1983, 25764, 23, 62, 17, 33411, 763, 62, 3642, 395, 415, 834, 3972, 283, 62, 14259, 62, 79, 3972, 283, 62, 796, 366, 51, 1437, 350, 533, 14636, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 6157, 351, 35903, 350, 533, 14636, 30, 46506, 1388, 62, 3642, 395, 415, 16034, 3084, 62, 1507, 1983, 25764, 23, 62, 17, 33411, 763, 62, 3642, 395, 415, 834, 3972, 283, 62, 14259, 62, 79, 3972, 283, 62, 796, 366, 51, 1437, 350, 533, 14636, 1 ]
Which Wins is the lowest one that has Events larger than 30?
SELECT MIN(wins) FROM table_name_70 WHERE events > 30
[ 13828, 24423, 318, 262, 9016, 530, 326, 468, 18715, 4025, 621, 1542, 30, 46506, 20625, 7, 86, 1040, 8, 16034, 3084, 62, 3672, 62, 2154, 33411, 2995, 1875, 1542 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 24423, 318, 262, 9016, 530, 326, 468, 18715, 4025, 621, 1542, 30, 46506, 20625, 7, 86, 1040, 8, 16034, 3084, 62, 3672, 62, 2154, 33411, 2995, 1875, 1542 ]
Which Year has a Rank of 25?
SELECT year FROM table_name_64 WHERE rank = "25"
[ 13828, 6280, 468, 257, 10916, 286, 1679, 30, 46506, 614, 16034, 3084, 62, 3672, 62, 2414, 33411, 4279, 796, 366, 1495, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 6280, 468, 257, 10916, 286, 1679, 30, 46506, 614, 16034, 3084, 62, 3672, 62, 2414, 33411, 4279, 796, 366, 1495, 1 ]
Show me a bar chart for what is the id and trade name of the medicines can interact with at least 3 enzymes?, and I want to show by the x axis from high to low.
SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id ORDER BY Trade_Name DESC
[ 15307, 502, 257, 2318, 8262, 329, 644, 318, 262, 4686, 290, 3292, 1438, 286, 262, 23533, 460, 9427, 351, 379, 1551, 513, 29120, 21747, 290, 314, 765, 284, 905, 416, 262, 2124, 16488, 422, 1029, 284, 1877, 13, 46506, 9601, 62, 5376, 11, 4686, 16034, 9007, 7054, 309, 16, 32357, 1268, 9007, 62, 268, 24266, 62, 3849, 2673, 7054, 309, 17, 6177, 309, 17, 13, 1150, 291, 500, 62, 312, 796, 309, 16, 13, 312, 38678, 11050, 9601, 62, 5376, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 502, 257, 2318, 8262, 329, 644, 318, 262, 4686, 290, 3292, 1438, 286, 262, 23533, 460, 9427, 351, 379, 1551, 513, 29120, 21747, 290, 314, 765, 284, 905, 416, 262, 2124, 16488, 422, 1029, 284, 1877, 13, 46506, 9601, 62, 5376, 11, 4686, 16034, 9007, 7054, 309, 16, 32357, 1268, 9007, 62, 268, 24266, 62, 3849, 2673, 7054, 309, 17, 6177, 309, 17, 13, 1150, 291, 500, 62, 312, 796, 309, 16, 13, 312, 38678, 11050, 9601, 62, 5376, 22196, 34 ]
What is the highest water (sq mi) of the township glenila, which has more than 33.576 sq mi of land and a latitude greater than 48.832189?
SELECT MAX("Water (sqmi)") FROM table_65267 WHERE "Land ( sqmi )" > '33.576' AND "Township" = 'glenila' AND "Latitude" > '48.832189'
[ 2061, 318, 262, 4511, 1660, 357, 31166, 21504, 8, 286, 262, 42823, 1278, 268, 10102, 11, 543, 468, 517, 621, 4747, 13, 37452, 19862, 21504, 286, 1956, 290, 257, 32477, 3744, 621, 4764, 13, 23, 2624, 23362, 30, 46506, 25882, 7203, 19184, 357, 31166, 11632, 8, 4943, 16034, 3084, 62, 2996, 25674, 33411, 366, 22342, 357, 19862, 11632, 1267, 1, 1875, 705, 2091, 13, 37452, 6, 5357, 366, 38097, 6720, 1, 796, 705, 4743, 268, 10102, 6, 5357, 366, 24220, 3984, 1, 1875, 705, 2780, 13, 23, 2624, 23362, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4511, 1660, 357, 31166, 21504, 8, 286, 262, 42823, 1278, 268, 10102, 11, 543, 468, 517, 621, 4747, 13, 37452, 19862, 21504, 286, 1956, 290, 257, 32477, 3744, 621, 4764, 13, 23, 2624, 23362, 30, 46506, 25882, 7203, 19184, 357, 31166, 11632, 8, 4943, 16034, 3084, 62, 2996, 25674, 33411, 366, 22342, 357, 19862, 11632, 1267, 1, 1875, 705, 2091, 13, 37452, 6, 5357, 366, 38097, 6720, 1, 796, 705, 4743, 268, 10102, 6, 5357, 366, 24220, 3984, 1, 1875, 705, 2780, 13, 23, 2624, 23362, 6 ]
Who is the January playmate with a March playmate Alexandria Karlsen?
SELECT january FROM table_name_59 WHERE march = "alexandria karlsen"
[ 8241, 318, 262, 3269, 711, 9830, 351, 257, 2805, 711, 9830, 27872, 15415, 6248, 30, 46506, 42897, 2838, 16034, 3084, 62, 3672, 62, 3270, 33411, 9960, 796, 366, 1000, 87, 392, 7496, 479, 7063, 6248, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 318, 262, 3269, 711, 9830, 351, 257, 2805, 711, 9830, 27872, 15415, 6248, 30, 46506, 42897, 2838, 16034, 3084, 62, 3672, 62, 3270, 33411, 9960, 796, 366, 1000, 87, 392, 7496, 479, 7063, 6248, 1 ]
calculate how many times patient 12572 had received cont inv mec ven 96+ hrs during the previous year.
SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'cont inv mec ven 96+ hrs') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12572) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
[ 9948, 3129, 378, 703, 867, 1661, 5827, 1105, 48724, 550, 2722, 542, 800, 502, 66, 8710, 9907, 10, 36201, 1141, 262, 2180, 614, 13, 46506, 327, 28270, 7, 28104, 16034, 9021, 62, 291, 67, 33411, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 796, 705, 3642, 800, 502, 66, 8710, 9907, 10, 36201, 11537, 5357, 9021, 62, 291, 67 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9948, 3129, 378, 703, 867, 1661, 5827, 1105, 48724, 550, 2722, 542, 800, 502, 66, 8710, 9907, 10, 36201, 1141, 262, 2180, 614, 13, 46506, 327, 28270, 7, 28104, 16034, 9021, 62, 291, 67, 33411, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 796, 705, 3642, 800, 502, 66, 8710, 9907, 10, 36201, 11537, 5357, 9021, 62, 291, 67 ]
how many patients are admitted before the year 2167 and followed the procedure endovasc embol hd/nk ves?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2167" AND procedures.short_title = "Endovasc embol hd/nk ves"
[ 4919, 867, 3871, 389, 6848, 878, 262, 614, 362, 21940, 290, 3940, 262, 8771, 886, 709, 3372, 4072, 349, 289, 67, 14, 77, 74, 410, 274, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 76, 414, 451, 1279, 366, 20666, 22, 1, 5357, 9021, 13, 19509, 62, 7839, 796, 366, 12915, 709, 3372, 4072, 349, 289, 67, 14, 77, 74, 410, 274, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 389, 6848, 878, 262, 614, 362, 21940, 290, 3940, 262, 8771, 886, 709, 3372, 4072, 349, 289, 67, 14, 77, 74, 410, 274, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 76, 414, 451, 1279, 366, 20666, 22, 1, 5357, 9021, 13, 19509, 62, 7839, 796, 366, 12915, 709, 3372, 4072, 349, 289, 67, 14, 77, 74, 410, 274, 1 ]
has the arterial bp mean of patient 31854 ever been greater than 96.0 this month.
SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31854)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 96.0 AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month')
[ 10134, 262, 30675, 498, 275, 79, 1612, 286, 5827, 39320, 4051, 1683, 587, 3744, 621, 9907, 13, 15, 428, 1227, 13, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 8262, 31534, 33411, 8262, 31534, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 39320, 4051, 4008, 5357, 8262, 31534, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10134, 262, 30675, 498, 275, 79, 1612, 286, 5827, 39320, 4051, 1683, 587, 3744, 621, 9907, 13, 15, 428, 1227, 13, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 8262, 31534, 33411, 8262, 31534, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 39320, 4051, 4008, 5357, 8262, 31534, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186 ]
what was the last year chasetown won ?
SELECT MAX("year") FROM table_204_596 WHERE "winners" = 'chasetown'
[ 10919, 373, 262, 938, 614, 442, 292, 316, 593, 1839, 5633, 46506, 25882, 7203, 1941, 4943, 16034, 3084, 62, 18638, 62, 45734, 33411, 366, 5404, 2741, 1, 796, 705, 354, 292, 316, 593, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 262, 938, 614, 442, 292, 316, 593, 1839, 5633, 46506, 25882, 7203, 1941, 4943, 16034, 3084, 62, 18638, 62, 45734, 33411, 366, 5404, 2741, 1, 796, 705, 354, 292, 316, 593, 6 ]
what school is rudy gay from
SELECT "School/Club Team" FROM table_15872 WHERE "Player" = 'Rudy Gay'
[ 10919, 1524, 318, 28906, 88, 5650, 422, 46506, 366, 26130, 14, 42350, 4816, 1, 16034, 3084, 62, 21273, 4761, 33411, 366, 14140, 1, 796, 705, 49, 463, 88, 16013, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 1524, 318, 28906, 88, 5650, 422, 46506, 366, 26130, 14, 42350, 4816, 1, 16034, 3084, 62, 21273, 4761, 33411, 366, 14140, 1, 796, 705, 49, 463, 88, 16013, 6 ]
history of smoking
SELECT * FROM table_dev_17 WHERE smoking = 1
[ 23569, 286, 9216, 46506, 1635, 16034, 3084, 62, 7959, 62, 1558, 33411, 9216, 796, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 23569, 286, 9216, 46506, 1635, 16034, 3084, 62, 7959, 62, 1558, 33411, 9216, 796, 352 ]
how many patients are american indian/alaska native who have primary disease stemi?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.diagnosis = "STEMI"
[ 4919, 867, 3871, 389, 45630, 272, 773, 666, 14, 282, 8480, 6868, 508, 423, 4165, 4369, 10717, 72, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 38546, 414, 796, 366, 2390, 1137, 42710, 24413, 16868, 14, 1847, 1921, 25123, 10149, 9306, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 25361, 40, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 389, 45630, 272, 773, 666, 14, 282, 8480, 6868, 508, 423, 4165, 4369, 10717, 72, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 38546, 414, 796, 366, 2390, 1137, 42710, 24413, 16868, 14, 1847, 1921, 25123, 10149, 9306, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 25361, 40, 1 ]
Which Attendance has a Score of 0:2?
SELECT MAX(attendance) FROM table_name_29 WHERE score = "0:2"
[ 13828, 46502, 590, 468, 257, 15178, 286, 657, 25, 17, 30, 46506, 25882, 7, 1078, 437, 590, 8, 16034, 3084, 62, 3672, 62, 1959, 33411, 4776, 796, 366, 15, 25, 17, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 46502, 590, 468, 257, 15178, 286, 657, 25, 17, 30, 46506, 25882, 7, 1078, 437, 590, 8, 16034, 3084, 62, 3672, 62, 1959, 33411, 4776, 796, 366, 15, 25, 17, 1 ]
Which song had Central Station as a label and whose album was Various - Wild Nights 4?
SELECT "Song" FROM table_31987 WHERE "Label" = 'central station' AND "Album" = 'various - wild nights 4'
[ 13828, 3496, 550, 5694, 9327, 355, 257, 6167, 290, 3025, 5062, 373, 26386, 532, 6183, 27760, 604, 30, 46506, 366, 44241, 1, 16034, 3084, 62, 18, 27301, 33411, 366, 33986, 1, 796, 705, 31463, 4429, 6, 5357, 366, 2348, 4435, 1, 796, 705, 7785, 699, 532, 4295, 12513, 604, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 3496, 550, 5694, 9327, 355, 257, 6167, 290, 3025, 5062, 373, 26386, 532, 6183, 27760, 604, 30, 46506, 366, 44241, 1, 16034, 3084, 62, 18, 27301, 33411, 366, 33986, 1, 796, 705, 31463, 4429, 6, 5357, 366, 2348, 4435, 1, 796, 705, 7785, 699, 532, 4295, 12513, 604, 6 ]
What is the part number for s-spec number sk096?
SELECT part_number FROM table_15261_1 WHERE s_spec_number = "SK096"
[ 2061, 318, 262, 636, 1271, 329, 264, 12, 16684, 1271, 1341, 2931, 21, 30, 46506, 636, 62, 17618, 16034, 3084, 62, 1314, 30057, 62, 16, 33411, 264, 62, 16684, 62, 17618, 796, 366, 18831, 2931, 21, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 636, 1271, 329, 264, 12, 16684, 1271, 1341, 2931, 21, 30, 46506, 636, 62, 17618, 16034, 3084, 62, 1314, 30057, 62, 16, 33411, 264, 62, 16684, 62, 17618, 796, 366, 18831, 2931, 21, 1 ]
Bin all date of transactions into the weekday interval, and compute the average of the share count for each bin Return the result using a bar chart, show in ascending by the total number please.
SELECT date_of_transaction, AVG(share_count) FROM Transactions ORDER BY AVG(share_count)
[ 33, 259, 477, 3128, 286, 8945, 656, 262, 28269, 16654, 11, 290, 24061, 262, 2811, 286, 262, 2648, 954, 329, 1123, 9874, 8229, 262, 1255, 1262, 257, 2318, 8262, 11, 905, 287, 41988, 416, 262, 2472, 1271, 3387, 13, 46506, 3128, 62, 1659, 62, 7645, 2673, 11, 35224, 7, 20077, 62, 9127, 8, 16034, 46192, 38678, 11050, 35224, 7, 20077, 62, 9127, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33, 259, 477, 3128, 286, 8945, 656, 262, 28269, 16654, 11, 290, 24061, 262, 2811, 286, 262, 2648, 954, 329, 1123, 9874, 8229, 262, 1255, 1262, 257, 2318, 8262, 11, 905, 287, 41988, 416, 262, 2472, 1271, 3387, 13, 46506, 3128, 62, 1659, 62, 7645, 2673, 11, 35224, 7, 20077, 62, 9127, 8, 16034, 46192, 38678, 11050, 35224, 7, 20077, 62, 9127, 8 ]
what are the top five commonly prescribed drugs that patients were prescribed after having received a tracheostomy - performed during current admission for ventilatory support treatment during this year within 2 months?
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'tracheostomy - performed during current admission for ventilatory support' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5
[ 10919, 389, 262, 1353, 1936, 8811, 14798, 5010, 326, 3871, 547, 14798, 706, 1719, 2722, 257, 491, 4891, 455, 9145, 532, 6157, 1141, 1459, 13938, 329, 7435, 346, 2870, 1104, 3513, 1141, 428, 614, 1626, 362, 1933, 30, 46506, 256, 18, 13, 30349, 3672, 16034, 357, 46506, 256, 17, 13, 30349, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 3513, 13, 42487, 2435, 16034, 3513, 32357, 1268, 5827, 6177, 3513, 13, 26029, 20850, 31712, 312 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 389, 262, 1353, 1936, 8811, 14798, 5010, 326, 3871, 547, 14798, 706, 1719, 2722, 257, 491, 4891, 455, 9145, 532, 6157, 1141, 1459, 13938, 329, 7435, 346, 2870, 1104, 3513, 1141, 428, 614, 1626, 362, 1933, 30, 46506, 256, 18, 13, 30349, 3672, 16034, 357, 46506, 256, 17, 13, 30349, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 3513, 13, 42487, 2435, 16034, 3513, 32357, 1268, 5827, 6177, 3513, 13, 26029, 20850, 31712, 312 ]
What was the category of the award that John Frank Levey was nominated for after 1995?
SELECT "Category" FROM table_63173 WHERE "Nominee(s)" = 'john frank levey' AND "Year" > '1995'
[ 2061, 373, 262, 6536, 286, 262, 5764, 326, 1757, 5278, 1004, 3304, 373, 19332, 329, 706, 8735, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 5066, 25399, 33411, 366, 45, 296, 500, 68, 7, 82, 16725, 796, 705, 30686, 14346, 443, 3304, 6, 5357, 366, 17688, 1, 1875, 705, 21908, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 6536, 286, 262, 5764, 326, 1757, 5278, 1004, 3304, 373, 19332, 329, 706, 8735, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 5066, 25399, 33411, 366, 45, 296, 500, 68, 7, 82, 16725, 796, 705, 30686, 14346, 443, 3304, 6, 5357, 366, 17688, 1, 1875, 705, 21908, 6 ]
what were the top three most frequent diagnoses that patients received within the same month after receiving oth cardiac mon output until 2101?
SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'oth cardiac mon output') AND STRFTIME('%y', procedures_icd.charttime) <= '2101') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', diagnoses_icd.charttime) <= '2101') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3)
[ 10919, 547, 262, 1353, 1115, 749, 10792, 40567, 326, 3871, 2722, 1626, 262, 976, 1227, 706, 6464, 267, 400, 26077, 937, 5072, 1566, 2310, 486, 30, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 256, 18, 13, 291, 67, 24, 62, 8189, 16034, 357, 46506, 256, 17, 13, 291, 67, 24, 62, 8189, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 547, 262, 1353, 1115, 749, 10792, 40567, 326, 3871, 2722, 1626, 262, 976, 1227, 706, 6464, 267, 400, 26077, 937, 5072, 1566, 2310, 486, 30, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 256, 18, 13, 291, 67, 24, 62, 8189, 16034, 357, 46506, 256, 17, 13, 291, 67, 24, 62, 8189, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34 ]
What is the average price for products?
SELECT AVG(Product_Price) FROM Products
[ 2061, 318, 262, 2811, 2756, 329, 3186, 30, 46506, 35224, 7, 15667, 62, 18124, 8, 16034, 18675 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2811, 2756, 329, 3186, 30, 46506, 35224, 7, 15667, 62, 18124, 8, 16034, 18675 ]
List first name and last name of customers that have more than 2 payments.
SELECT T2.first_name, T2.last_name FROM customer_payments AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING COUNT(*) > 2
[ 8053, 717, 1438, 290, 938, 1438, 286, 4297, 326, 423, 517, 621, 362, 7524, 13, 46506, 309, 17, 13, 11085, 62, 3672, 11, 309, 17, 13, 12957, 62, 3672, 16034, 6491, 62, 15577, 902, 7054, 309, 16, 32357, 1268, 4297, 7054, 309, 17, 6177, 309, 16, 13, 23144, 263, 62, 312, 796, 309, 17, 13, 23144, 263, 62, 312, 44441, 11050, 309, 16, 13, 23144, 263, 62, 312, 367, 10116, 2751, 327, 28270, 7, 28104, 1875, 362 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8053, 717, 1438, 290, 938, 1438, 286, 4297, 326, 423, 517, 621, 362, 7524, 13, 46506, 309, 17, 13, 11085, 62, 3672, 11, 309, 17, 13, 12957, 62, 3672, 16034, 6491, 62, 15577, 902, 7054, 309, 16, 32357, 1268, 4297, 7054, 309, 17, 6177, 309, 16, 13, 23144, 263, 62, 312, 796, 309, 17, 13, 23144, 263, 62, 312, 44441, 11050, 309, 16, 13, 23144, 263, 62, 312, 367, 10116, 2751, 327, 28270, 7, 28104, 1875, 362 ]
A pie chart for finding the number of the name of all students who were in the tryout sorted in alphabetic order.
SELECT pName, COUNT(pName) FROM Player AS T1 JOIN Tryout AS T2 ON T1.pID = T2.pID GROUP BY pName ORDER BY T1.pName
[ 32, 2508, 8262, 329, 4917, 262, 1271, 286, 262, 1438, 286, 477, 2444, 508, 547, 287, 262, 1949, 448, 23243, 287, 435, 746, 33312, 1502, 13, 46506, 279, 5376, 11, 327, 28270, 7, 79, 5376, 8, 16034, 7853, 7054, 309, 16, 32357, 1268, 9993, 448, 7054, 309, 17, 6177, 309, 16, 13, 79, 2389, 796, 309, 17, 13, 79, 2389, 44441, 11050, 279, 5376, 38678, 11050, 309, 16, 13, 79, 5376 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2508, 8262, 329, 4917, 262, 1271, 286, 262, 1438, 286, 477, 2444, 508, 547, 287, 262, 1949, 448, 23243, 287, 435, 746, 33312, 1502, 13, 46506, 279, 5376, 11, 327, 28270, 7, 79, 5376, 8, 16034, 7853, 7054, 309, 16, 32357, 1268, 9993, 448, 7054, 309, 17, 6177, 309, 16, 13, 79, 2389, 796, 309, 17, 13, 79, 2389, 44441, 11050, 279, 5376, 38678, 11050, 309, 16, 13, 79, 5376 ]
In Colorado 6 district what is the party?
SELECT "Party" FROM table_60930 WHERE "District" = 'colorado 6'
[ 818, 7492, 718, 4783, 644, 318, 262, 2151, 30, 46506, 366, 33553, 1, 16034, 3084, 62, 31751, 1270, 33411, 366, 44857, 1, 796, 705, 8043, 4533, 718, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 818, 7492, 718, 4783, 644, 318, 262, 2151, 30, 46506, 366, 33553, 1, 16034, 3084, 62, 31751, 1270, 33411, 366, 44857, 1, 796, 705, 8043, 4533, 718, 6 ]
What is the category when the version is 1.0 and the title is Chord finder?
SELECT "Category" FROM table_22160 WHERE "Version" = '1.0' AND "Title" = 'Chord Finder'
[ 2061, 318, 262, 6536, 618, 262, 2196, 318, 352, 13, 15, 290, 262, 3670, 318, 609, 585, 1064, 263, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 1828, 14198, 33411, 366, 14815, 1, 796, 705, 16, 13, 15, 6, 5357, 366, 19160, 1, 796, 705, 1925, 585, 42500, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 6536, 618, 262, 2196, 318, 352, 13, 15, 290, 262, 3670, 318, 609, 585, 1064, 263, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 1828, 14198, 33411, 366, 14815, 1, 796, 705, 16, 13, 15, 6, 5357, 366, 19160, 1, 796, 705, 1925, 585, 42500, 6 ]
How many clubs had 7 wins?
SELECT COUNT(club) FROM table_13741576_6 WHERE won = "7"
[ 2437, 867, 9784, 550, 767, 7864, 30, 46506, 327, 28270, 7, 18664, 8, 16034, 3084, 62, 1485, 4524, 1314, 4304, 62, 21, 33411, 1839, 796, 366, 22, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 9784, 550, 767, 7864, 30, 46506, 327, 28270, 7, 18664, 8, 16034, 3084, 62, 1485, 4524, 1314, 4304, 62, 21, 33411, 1839, 796, 366, 22, 1 ]
Which extra resulted in 2nd before 2005?
SELECT extra FROM table_name_30 WHERE result = "2nd" AND year < 2005
[ 13828, 3131, 8724, 287, 362, 358, 878, 5075, 30, 46506, 3131, 16034, 3084, 62, 3672, 62, 1270, 33411, 1255, 796, 366, 17, 358, 1, 5357, 614, 1279, 5075 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 3131, 8724, 287, 362, 358, 878, 5075, 30, 46506, 3131, 16034, 3084, 62, 3672, 62, 1270, 33411, 1255, 796, 366, 17, 358, 1, 5357, 614, 1279, 5075 ]
how much did it cost patient 010-5308 a hospital stay in the first hospital encounter?
SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-5308' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)
[ 4919, 881, 750, 340, 1575, 5827, 5534, 15, 12, 20, 21495, 257, 4436, 2652, 287, 262, 717, 4436, 8791, 30, 46506, 35683, 7, 15805, 13, 15805, 8, 16034, 1575, 33411, 1575, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 20943, 12, 20, 21495, 6, 5357, 5626, 5827, 13, 49257, 6381, 354, 7641, 524, 3180, 15697, 38678, 11050, 5827, 13, 49257, 324, 20124, 524, 27564, 2043, 352, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 881, 750, 340, 1575, 5827, 5534, 15, 12, 20, 21495, 257, 4436, 2652, 287, 262, 717, 4436, 8791, 30, 46506, 35683, 7, 15805, 13, 15805, 8, 16034, 1575, 33411, 1575, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 20943, 12, 20, 21495, 6, 5357, 5626, 5827, 13, 49257, 6381, 354, 7641, 524, 3180, 15697, 38678, 11050, 5827, 13, 49257, 324, 20124, 524, 27564, 2043, 352, 8 ]
For countries that won more than 32 gold medals, what was the highest number of golds?
SELECT MAX("Gold") FROM table_31940 WHERE "Total" > '32'
[ 1890, 2678, 326, 1839, 517, 621, 3933, 3869, 28057, 11, 644, 373, 262, 4511, 1271, 286, 3869, 82, 30, 46506, 25882, 7203, 13306, 4943, 16034, 3084, 62, 35175, 1821, 33411, 366, 14957, 1, 1875, 705, 2624, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 2678, 326, 1839, 517, 621, 3933, 3869, 28057, 11, 644, 373, 262, 4511, 1271, 286, 3869, 82, 30, 46506, 25882, 7203, 13306, 4943, 16034, 3084, 62, 35175, 1821, 33411, 366, 14957, 1, 1875, 705, 2624, 6 ]
When l (ot/so) is 22 (3/4), what is the season?
SELECT season FROM table_20833768_4 WHERE l__ot_so_ = "22 (3/4)"
[ 2215, 300, 357, 313, 14, 568, 8, 318, 2534, 357, 18, 14, 19, 828, 644, 318, 262, 1622, 30, 46506, 1622, 16034, 3084, 62, 21315, 2091, 30610, 62, 19, 33411, 300, 834, 313, 62, 568, 62, 796, 366, 1828, 357, 18, 14, 19, 16725 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2215, 300, 357, 313, 14, 568, 8, 318, 2534, 357, 18, 14, 19, 828, 644, 318, 262, 1622, 30, 46506, 1622, 16034, 3084, 62, 21315, 2091, 30610, 62, 19, 33411, 300, 834, 313, 62, 568, 62, 796, 366, 1828, 357, 18, 14, 19, 16725 ]
In what year is australia/oceania listed?
SELECT COUNT(year) FROM table_27435931_1 WHERE continent = "Australia/Oceania"
[ 818, 644, 614, 318, 38132, 1373, 544, 14, 78, 344, 5411, 5610, 30, 46506, 327, 28270, 7, 1941, 8, 16034, 3084, 62, 28857, 30743, 3132, 62, 16, 33411, 15549, 796, 366, 27429, 14, 46, 344, 5411, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 818, 644, 614, 318, 38132, 1373, 544, 14, 78, 344, 5411, 5610, 30, 46506, 327, 28270, 7, 1941, 8, 16034, 3084, 62, 28857, 30743, 3132, 62, 16, 33411, 15549, 796, 366, 27429, 14, 46, 344, 5411, 1 ]
what is date of birth and diagnoses short title of subject id 66411?
SELECT demographic.dob, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "66411"
[ 10919, 318, 3128, 286, 4082, 290, 40567, 1790, 3670, 286, 2426, 4686, 718, 2414, 1157, 30, 46506, 16728, 13, 67, 672, 11, 40567, 13, 19509, 62, 7839, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 32796, 62, 312, 796, 366, 21, 2414, 1157, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 3128, 286, 4082, 290, 40567, 1790, 3670, 286, 2426, 4686, 718, 2414, 1157, 30, 46506, 16728, 13, 67, 672, 11, 40567, 13, 19509, 62, 7839, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 32796, 62, 312, 796, 366, 21, 2414, 1157, 1 ]
Visualize a scatter chart about the correlation between Credits and DNO .
SELECT Credits, DNO FROM Course ORDER BY Credits
[ 36259, 1096, 257, 41058, 8262, 546, 262, 16096, 1022, 29501, 290, 360, 15285, 764, 46506, 29501, 11, 360, 15285, 16034, 20537, 38678, 11050, 29501 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 36259, 1096, 257, 41058, 8262, 546, 262, 16096, 1022, 29501, 290, 360, 15285, 764, 46506, 29501, 11, 360, 15285, 16034, 20537, 38678, 11050, 29501 ]
Am I allowed to take AEROSP 714 and AEROSP 566 in the same semester ?
SELECT COUNT(*) > 0 FROM course AS COURSE_0, course AS COURSE_1, course_offering AS COURSE_OFFERING_0, course_offering AS COURSE_OFFERING_1, course_prerequisite WHERE COURSE_OFFERING_1.semester = COURSE_OFFERING_0.semester AND COURSE_0.course_id = COURSE_OFFERING_0.course_id AND COURSE_0.department = 'AEROSP' AND COURSE_0.number = 714 AND COURSE_1.course_id = COURSE_OFFERING_1.course_id AND COURSE_1.department = 'AEROSP' AND COURSE_1.number = 566 AND (NOT ((COURSE_1.course_id = course_prerequisite.course_id AND COURSE_0.course_id = course_prerequisite.pre_course_id) OR (COURSE_1.course_id = course_prerequisite.pre_course_id AND COURSE_0.course_id = course_prerequisite.course_id)))
[ 5840, 314, 3142, 284, 1011, 317, 1137, 47053, 767, 1415, 290, 317, 1137, 47053, 642, 2791, 287, 262, 976, 24878, 5633, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 1781, 7054, 37384, 5188, 62, 15, 11, 1781, 7054, 37384, 5188, 62, 16, 11, 1781, 62, 2364, 1586, 7054, 37384, 5188, 62, 27977, 1137, 2751, 62, 15, 11, 1781, 62, 2364, 1586, 7054, 37384, 5188, 62, 27977, 1137, 2751, 62, 16, 11, 1781, 62, 3866, 27614, 33411, 37384, 5188, 62, 27977, 1137, 2751, 62, 16, 13, 325, 6880, 353, 796, 37384, 5188, 62, 27977, 1137, 2751, 62, 15, 13, 325, 6880 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5840, 314, 3142, 284, 1011, 317, 1137, 47053, 767, 1415, 290, 317, 1137, 47053, 642, 2791, 287, 262, 976, 24878, 5633, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 1781, 7054, 37384, 5188, 62, 15, 11, 1781, 7054, 37384, 5188, 62, 16, 11, 1781, 62, 2364, 1586, 7054, 37384, 5188, 62, 27977, 1137, 2751, 62, 15, 11, 1781, 62, 2364, 1586, 7054, 37384, 5188, 62, 27977, 1137, 2751, 62, 16, 11, 1781, 62, 3866, 27614, 33411, 37384, 5188, 62, 27977, 1137, 2751, 62, 16, 13, 325, 6880, 353, 796, 37384, 5188, 62, 27977, 1137, 2751, 62, 15, 13, 325, 6880 ]
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by time, show by the Y-axis from low to high.
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY COUNT(HIRE_DATE)
[ 1890, 883, 4409, 3025, 9588, 318, 287, 262, 2837, 286, 38055, 290, 1105, 830, 290, 5810, 318, 407, 9242, 393, 5011, 1271, 857, 407, 4961, 284, 2319, 11, 38350, 257, 2318, 8262, 546, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2033, 286, 11078, 62, 4475, 9874, 11078, 62, 4475, 416, 640, 11, 905, 416, 262, 575, 12, 22704, 422, 1877, 284, 1029, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 327, 28270, 7, 25374, 2200, 62, 35, 6158, 8, 16034, 4409, 33411, 42475, 13153, 38651, 8845, 1677, 38055, 5357, 1105, 830, 5357, 22240, 40373, 62, 47, 4177, 1279, 29 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 3025, 9588, 318, 287, 262, 2837, 286, 38055, 290, 1105, 830, 290, 5810, 318, 407, 9242, 393, 5011, 1271, 857, 407, 4961, 284, 2319, 11, 38350, 257, 2318, 8262, 546, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2033, 286, 11078, 62, 4475, 9874, 11078, 62, 4475, 416, 640, 11, 905, 416, 262, 575, 12, 22704, 422, 1877, 284, 1029, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 327, 28270, 7, 25374, 2200, 62, 35, 6158, 8, 16034, 4409, 33411, 42475, 13153, 38651, 8845, 1677, 38055, 5357, 1105, 830, 5357, 22240, 40373, 62, 47, 4177, 1279, 29 ]
How many parks are there in Atlanta city?
SELECT COUNT(*) FROM park WHERE city = 'Atlanta'
[ 2437, 867, 14860, 389, 612, 287, 9371, 1748, 30, 46506, 327, 28270, 7, 28104, 16034, 3952, 33411, 1748, 796, 705, 43482, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 14860, 389, 612, 287, 9371, 1748, 30, 46506, 327, 28270, 7, 28104, 16034, 3952, 33411, 1748, 796, 705, 43482, 6 ]
Which city has an IATA of AUH?
SELECT "City" FROM table_68835 WHERE "IATA" = 'auh'
[ 13828, 1748, 468, 281, 314, 13563, 286, 27548, 39, 30, 46506, 366, 14941, 1, 16034, 3084, 62, 34427, 2327, 33411, 366, 40, 13563, 1, 796, 705, 559, 71, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 1748, 468, 281, 314, 13563, 286, 27548, 39, 30, 46506, 366, 14941, 1, 16034, 3084, 62, 34427, 2327, 33411, 366, 40, 13563, 1, 796, 705, 559, 71, 6 ]
what is the number of lane with a rank more than 2 for Louise rnstedt?
SELECT COUNT(lane) FROM table_name_86 WHERE rank > 2 AND name = "louise ørnstedt"
[ 10919, 318, 262, 1271, 286, 11193, 351, 257, 4279, 517, 621, 362, 329, 31774, 374, 77, 30679, 83, 30, 46506, 327, 28270, 7, 33533, 8, 16034, 3084, 62, 3672, 62, 4521, 33411, 4279, 1875, 362, 5357, 1438, 796, 366, 75, 280, 786, 6184, 116, 35906, 30679, 83, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 1271, 286, 11193, 351, 257, 4279, 517, 621, 362, 329, 31774, 374, 77, 30679, 83, 30, 46506, 327, 28270, 7, 33533, 8, 16034, 3084, 62, 3672, 62, 4521, 33411, 4279, 1875, 362, 5357, 1438, 796, 366, 75, 280, 786, 6184, 116, 35906, 30679, 83, 1 ]
when did patient 010-11305 for the last time leave the hospital until 2101?
SELECT patient.hospitaldischargetime FROM patient WHERE patient.uniquepid = '010-11305' AND STRFTIME('%y', patient.hospitaldischargetime) <= '2101' ORDER BY patient.hospitaldischargetime DESC LIMIT 1
[ 12518, 750, 5827, 5534, 15, 12, 1157, 22515, 329, 262, 938, 640, 2666, 262, 4436, 1566, 2310, 486, 30, 46506, 5827, 13, 49257, 6381, 354, 7641, 524, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 20943, 12, 1157, 22515, 6, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 5827, 13, 49257, 6381, 354, 7641, 524, 8, 19841, 705, 2481, 486, 6, 38678, 11050, 5827, 13, 49257, 6381, 354, 7641, 524, 22196, 34, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 12518, 750, 5827, 5534, 15, 12, 1157, 22515, 329, 262, 938, 640, 2666, 262, 4436, 1566, 2310, 486, 30, 46506, 5827, 13, 49257, 6381, 354, 7641, 524, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 20943, 12, 1157, 22515, 6, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 5827, 13, 49257, 6381, 354, 7641, 524, 8, 19841, 705, 2481, 486, 6, 38678, 11050, 5827, 13, 49257, 6381, 354, 7641, 524, 22196, 34, 27564, 2043, 352 ]
How many different high rebound results are there for the game number 26?
SELECT COUNT(high_rebounds) FROM table_23286223_5 WHERE game = 26
[ 2437, 867, 1180, 1029, 23623, 2482, 389, 612, 329, 262, 983, 1271, 2608, 30, 46506, 327, 28270, 7, 8929, 62, 34806, 3733, 8, 16034, 3084, 62, 1954, 27033, 22047, 62, 20, 33411, 983, 796, 2608 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 1180, 1029, 23623, 2482, 389, 612, 329, 262, 983, 1271, 2608, 30, 46506, 327, 28270, 7, 8929, 62, 34806, 3733, 8, 16034, 3084, 62, 1954, 27033, 22047, 62, 20, 33411, 983, 796, 2608 ]
Short WHYT comments, Id only.
SELECT Id AS "comment_link" FROM Comments WHERE LOWER(Text) LIKE 'what have you tried%' AND LENGTH(Text) < 75 ORDER BY LENGTH(Text), Id
[ 16438, 44463, 51, 3651, 11, 5121, 691, 13, 46506, 5121, 7054, 366, 23893, 62, 8726, 1, 16034, 19502, 33411, 406, 36048, 7, 8206, 8, 34178, 705, 10919, 423, 345, 3088, 4, 6, 5357, 406, 49494, 7, 8206, 8, 1279, 5441, 38678, 11050, 406, 49494, 7, 8206, 828, 5121 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16438, 44463, 51, 3651, 11, 5121, 691, 13, 46506, 5121, 7054, 366, 23893, 62, 8726, 1, 16034, 19502, 33411, 406, 36048, 7, 8206, 8, 34178, 705, 10919, 423, 345, 3088, 4, 6, 5357, 406, 49494, 7, 8206, 8, 1279, 5441, 38678, 11050, 406, 49494, 7, 8206, 828, 5121 ]
What is the highest to par number for Justin Leonard when the total is less than 297?
SELECT MAX(to_par) FROM table_name_27 WHERE player = "justin leonard" AND total < 297
[ 2061, 318, 262, 4511, 284, 1582, 1271, 329, 10799, 20131, 618, 262, 2472, 318, 1342, 621, 41103, 30, 46506, 25882, 7, 1462, 62, 1845, 8, 16034, 3084, 62, 3672, 62, 1983, 33411, 2137, 796, 366, 3137, 259, 443, 261, 446, 1, 5357, 2472, 1279, 41103 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4511, 284, 1582, 1271, 329, 10799, 20131, 618, 262, 2472, 318, 1342, 621, 41103, 30, 46506, 25882, 7, 1462, 62, 1845, 8, 16034, 3084, 62, 3672, 62, 1983, 33411, 2137, 796, 366, 3137, 259, 443, 261, 446, 1, 5357, 2472, 1279, 41103 ]
Name the fa cup apps for arthur morton
SELECT fa_cup_apps FROM table_19730892_1 WHERE name = "Arthur Morton"
[ 5376, 262, 24685, 6508, 6725, 329, 610, 11098, 5596, 261, 46506, 24685, 62, 25244, 62, 18211, 16034, 3084, 62, 24991, 1270, 4531, 17, 62, 16, 33411, 1438, 796, 366, 29874, 35766, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 24685, 6508, 6725, 329, 610, 11098, 5596, 261, 46506, 24685, 62, 25244, 62, 18211, 16034, 3084, 62, 24991, 1270, 4531, 17, 62, 16, 33411, 1438, 796, 366, 29874, 35766, 1 ]
How many runs happened in 2013?
SELECT runs FROM table_name_18 WHERE year = "2013"
[ 2437, 867, 4539, 3022, 287, 2211, 30, 46506, 4539, 16034, 3084, 62, 3672, 62, 1507, 33411, 614, 796, 366, 6390, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 4539, 3022, 287, 2211, 30, 46506, 4539, 16034, 3084, 62, 3672, 62, 1507, 33411, 614, 796, 366, 6390, 1 ]
Frequency of 1.2 ghz, and a Release price ( USD ) of $70 is what socket?
SELECT "Socket" FROM table_34851 WHERE "Frequency" = '1.2 ghz' AND "Release price ( USD )" = '$70'
[ 37, 28707, 286, 352, 13, 17, 24997, 89, 11, 290, 257, 13868, 2756, 357, 11403, 1267, 286, 720, 2154, 318, 644, 17802, 30, 46506, 366, 39105, 1, 16034, 3084, 62, 28978, 4349, 33411, 366, 37, 28707, 1, 796, 705, 16, 13, 17, 24997, 89, 6, 5357, 366, 26362, 2756, 357, 11403, 1267, 1, 796, 705, 3, 2154, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 37, 28707, 286, 352, 13, 17, 24997, 89, 11, 290, 257, 13868, 2756, 357, 11403, 1267, 286, 720, 2154, 318, 644, 17802, 30, 46506, 366, 39105, 1, 16034, 3084, 62, 28978, 4349, 33411, 366, 37, 28707, 1, 796, 705, 16, 13, 17, 24997, 89, 6, 5357, 366, 26362, 2756, 357, 11403, 1267, 1, 796, 705, 3, 2154, 6 ]
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time.
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 38350, 257, 2318, 8262, 546, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2160, 286, 9588, 9874, 11078, 62, 4475, 416, 640, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 35683, 7, 50, 1847, 13153, 8, 16034, 4409, 33411, 5626, 5550, 30709, 10979, 62, 2389, 3268, 357, 46506, 5550, 30709, 10979, 62, 2389, 16034, 13346, 33411, 17254, 4760, 1137, 62, 2389, 38651, 8845, 1677, 1802, 5357, 939, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 38350, 257, 2318, 8262, 546, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2160, 286, 9588, 9874, 11078, 62, 4475, 416, 640, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 35683, 7, 50, 1847, 13153, 8, 16034, 4409, 33411, 5626, 5550, 30709, 10979, 62, 2389, 3268, 357, 46506, 5550, 30709, 10979, 62, 2389, 16034, 13346, 33411, 17254, 4760, 1137, 62, 2389, 38651, 8845, 1677, 1802, 5357, 939, 8 ]
What is the aircraft name for the flight with number 99
SELECT T2.name FROM flight AS T1 JOIN aircraft AS T2 ON T1.aid = T2.aid WHERE T1.flno = 99
[ 2061, 318, 262, 6215, 1438, 329, 262, 5474, 351, 1271, 7388, 46506, 309, 17, 13, 3672, 16034, 5474, 7054, 309, 16, 32357, 1268, 6215, 7054, 309, 17, 6177, 309, 16, 13, 1698, 796, 309, 17, 13, 1698, 33411, 309, 16, 13, 2704, 3919, 796, 7388 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 6215, 1438, 329, 262, 5474, 351, 1271, 7388, 46506, 309, 17, 13, 3672, 16034, 5474, 7054, 309, 16, 32357, 1268, 6215, 7054, 309, 17, 6177, 309, 16, 13, 1698, 796, 309, 17, 13, 1698, 33411, 309, 16, 13, 2704, 3919, 796, 7388 ]
List the most common result of the musicals.
SELECT result FROM musical GROUP BY result ORDER BY COUNT(*) DESC LIMIT 1
[ 8053, 262, 749, 2219, 1255, 286, 262, 10530, 82, 13, 46506, 1255, 16034, 10530, 44441, 11050, 1255, 38678, 11050, 327, 28270, 7, 28104, 22196, 34, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8053, 262, 749, 2219, 1255, 286, 262, 10530, 82, 13, 46506, 1255, 16034, 10530, 44441, 11050, 1255, 38678, 11050, 327, 28270, 7, 28104, 22196, 34, 27564, 2043, 352 ]
What is the weight with the shape of scalloped, and that is a size of 20mm (across scallops)?
SELECT "Weight" FROM table_39075 WHERE "Shape" = 'scalloped' AND "Size" = '20mm (across scallops)'
[ 2061, 318, 262, 3463, 351, 262, 5485, 286, 629, 439, 19458, 11, 290, 326, 318, 257, 2546, 286, 1160, 3020, 357, 330, 1214, 629, 439, 2840, 19427, 46506, 366, 25844, 1, 16034, 3084, 62, 25964, 2425, 33411, 366, 33383, 1, 796, 705, 1416, 439, 19458, 6, 5357, 366, 10699, 1, 796, 705, 1238, 3020, 357, 330, 1214, 629, 439, 2840, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 3463, 351, 262, 5485, 286, 629, 439, 19458, 11, 290, 326, 318, 257, 2546, 286, 1160, 3020, 357, 330, 1214, 629, 439, 2840, 19427, 46506, 366, 25844, 1, 16034, 3084, 62, 25964, 2425, 33411, 366, 33383, 1, 796, 705, 1416, 439, 19458, 6, 5357, 366, 10699, 1, 796, 705, 1238, 3020, 357, 330, 1214, 629, 439, 2840, 33047 ]
provide the number of patients whose days of hospital stay is greater than 4 and lab test category is chemistry?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "4" AND lab."CATEGORY" = "Chemistry"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 1528, 286, 4436, 2652, 318, 3744, 621, 604, 290, 2248, 1332, 6536, 318, 16585, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 12545, 62, 31712, 1875, 366, 19, 1, 5357, 2248, 526, 34, 6158, 38, 15513, 1, 796, 366, 41829, 4592, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 1528, 286, 4436, 2652, 318, 3744, 621, 604, 290, 2248, 1332, 6536, 318, 16585, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 12545, 62, 31712, 1875, 366, 19, 1, 5357, 2248, 526, 34, 6158, 38, 15513, 1, 796, 366, 41829, 4592, 1 ]
What is the obverse of the archery coin?
SELECT "Obverse" FROM table_15745 WHERE "Reverse" = 'archery'
[ 2061, 318, 262, 909, 4399, 286, 262, 610, 31132, 10752, 30, 46506, 366, 5944, 4399, 1, 16034, 3084, 62, 18458, 2231, 33411, 366, 49, 964, 325, 1, 796, 705, 283, 31132, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 909, 4399, 286, 262, 610, 31132, 10752, 30, 46506, 366, 5944, 4399, 1, 16034, 3084, 62, 18458, 2231, 33411, 366, 49, 964, 325, 1, 796, 705, 283, 31132, 6 ]