instruction
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---|---|---|---|---|
Most disliked users of the site.
|
SELECT * FROM (SELECT DownRank + RepRank AS RawRank, RankedDowns.UserId, RankedDowns.Downs, RankedDowns.DownRank, RepRank.Reputation, RepRank.RepRank FROM (SELECT UserId, Downs, DENSE_RANK() OVER (ORDER BY Downs DESC) AS DownRank FROM (SELECT Posts.OwnerUserId AS UserId, COUNT(*) AS Downs FROM Votes, Posts WHERE Votes.PostId = Posts.Id AND Votes.VoteTypeId = 3 GROUP BY Posts.OwnerUserId) AS Downs) AS RankedDowns, (SELECT Id AS UserId, Reputation, DENSE_RANK() OVER (ORDER BY Reputation DESC) AS RepRank FROM Users) AS RepRank WHERE RankedDowns.UserId = RepRank.UserId) AS Raw ORDER BY RawRank LIMIT 100
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Which To par has a Winning score of 64-68-66-63=261?
|
SELECT to_par FROM table_name_22 WHERE winning_score = 64 - 68 - 66 - 63 = 261
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What is the sum of Silver with a Bronze that is larger than 0 with a Gold smaller than 0?
|
SELECT SUM("Silver") FROM table_7650 WHERE "Bronze" > '0' AND "Gold" < '0'
|
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How many in total were in attendance at games where Chelsea was the away team?
|
SELECT SUM(attendance) FROM table_name_23 WHERE away_team = "chelsea"
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how many female patients have been suffering from chest pain primary disease?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "CHEST PAIN"
|
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what were the number of contestants that were male ?
|
SELECT COUNT("name") FROM table_203_446 WHERE "gender" = 'male'
|
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The Milwaukee Mile circuit has what type of session?
|
SELECT session FROM table_name_41 WHERE circuit = "milwaukee mile"
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List the number of shows that had 12.04 million viewers in the united states
|
SELECT COUNT("Title") FROM table_25554 WHERE "U.S. viewers (million)" = '12.04'
|
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What is the height of the player who attended Hartford?
|
SELECT "Height in Ft." FROM table_72218 WHERE "School/Club Team/Country" = 'Hartford'
|
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Group by the local authorities and count the number of local authorities, and then group by services, could you display in desc by the x-axis?
|
SELECT services, COUNT(services) FROM station GROUP BY local_authority, services ORDER BY services DESC
|
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4429,
44441,
11050,
1957,
62,
9800,
414,
11,
2594,
38678,
11050,
2594,
22196,
34
] |
Which races did Paul Greifzu win?
|
SELECT "Race Name" FROM table_220 WHERE "Winning driver" = 'Paul Greifzu'
|
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How many million U.S. viewers watched 'musical chairs'?
|
SELECT "U.S. viewers (million)" FROM table_30686 WHERE "Title" = 'Musical Chairs'
|
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] |
When no.55 ipb spartak racing is the g1 winning team what are the results?
|
SELECT "Results" FROM table_2109 WHERE "GT1 Winning Team" = 'No.55 IPB Spartak Racing'
|
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] |
What is the total goals for Mark Ward?
|
SELECT MIN("Total Goals") FROM table_59492 WHERE "Name" = 'mark ward'
|
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tell me the marital status and type of admission patient with patient id 15898 had.
|
SELECT demographic.marital_status, demographic.admission_type FROM demographic WHERE demographic.subject_id = "15898"
|
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] |
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 first_name and employee_id , could you sort by the Y in descending please?
|
SELECT FIRST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID DESC
|
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6500,
62,
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34
] |
for patients diagnosed with hypopituitarism in 2102, what are the top three most common diagnoses that followed within the same month?
|
SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypopituitarism' AND STRFTIME('%y', diagnosis.diagnosistime) = '2102') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', diagnosis.diagnosistime) = '2102') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.diagnosistime, 'start of month') GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 3
|
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5958,
3672,
8,
7054,
256,
18,
33411,
256,
18,
13,
66,
16,
19841,
513
] |
Find the name of airports whose altitude is between -50 and 50.
|
SELECT name FROM airports WHERE elevation BETWEEN -50 AND 50
|
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What was the away team score when Richmond was the home team?
|
SELECT away_team AS score FROM table_name_80 WHERE home_team = "richmond"
|
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Show names of musicals and the number of actors who have appeared in the musicals.
|
SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID
|
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Name the total number of rank for east midnapore
|
SELECT COUNT("Rank") FROM table_27491 WHERE "District" = 'East Midnapore'
|
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who are all the players for armwood high school
|
SELECT player FROM table_11677691_12 WHERE school = "Armwood High school"
|
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] |
What date shows a Loss of lilly (2 2)?
|
SELECT "Date" FROM table_67921 WHERE "Loss" = 'lilly (2–2)'
|
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What is Away Team, when Home Team is 'West Ham United'?
|
SELECT away_team FROM table_name_83 WHERE home_team = "west ham united"
|
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Name the bronze for lahti
|
SELECT bronze FROM table_name_46 WHERE place = "lahti"
|
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3510,
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1295,
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20259,
1
] |
What papers has James Fogarty written at ubicomp ?
|
SELECT DISTINCT paper.paperid FROM author, paper, venue, writes WHERE author.authorname = 'James Fogarty' AND venue.venueid = paper.venueid AND venue.venuename = 'ubicomp' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
|
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which single was released before backslider ?
|
SELECT "title" FROM table_203_751 WHERE id = (SELECT id FROM table_203_751 WHERE "title" = '"backslider"') - 1
|
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What is the average feet that has a Latitude (N) of 35 48 35 , and under 8,047m?
|
SELECT AVG("feet") FROM table_53972 WHERE "Latitude (N)" = '35°48′35″' AND "metres" < '8,047'
|
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Find all the locations whose names contain the word 'film'.
|
SELECT location_name FROM locations WHERE location_name LIKE "%film%"
|
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What is the lowest year for the game called The Elder Scrolls v: Skyrim?
|
SELECT MIN(year) FROM table_name_99 WHERE game = "the elder scrolls v: skyrim"
|
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1169,
10550,
32138,
410,
25,
1341,
17302,
1
] |
pm flights leaving SAN FRANCISCO arriving BOSTON
|
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 ((flight.departure_time <= 2359 AND flight.departure_time >= 1200) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
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] |
Specify the minimum number of days for which a patient insured by the government stayed in the hospital
|
SELECT MIN(demographic.days_stay) FROM demographic WHERE demographic.insurance = "Government"
|
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22882,
1958,
262,
5288,
1271,
286,
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329,
543,
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13,
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3874,
796,
366,
28848,
1
] |
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1,
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31712,
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16034,
16728,
33411,
16728,
13,
1040,
3874,
796,
366,
28848,
1
] |
%sql SELECT * \ FROM INFORMATION_SCHEMA.TABLES \ WHERE TABLE_TYPE = 'BASE TABLE' AND TABLE.
|
SELECT TABLE_CATALOG, TABLE_SCHEMA, TABLE_NAME, COLUMN_NAME, DATA_TYPE FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_CATALOG = '$database' AND TABLE_SCHEMA != 'sys' ORDER BY TABLE_CATALOG, TABLE_SCHEMA, TABLE_NAME, ORDINAL_POSITION
|
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17941
] |
what is the average daily number of patients who have had hemangioma intracranial during the last year?
|
SELECT AVG(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hemangioma intracranial') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY STRFTIME('%y-%m-%d', diagnoses_icd.charttime)) AS t1
|
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] |
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2435,
4008,
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256,
16
] |
What winner has pierre rolland as mountains classification, with 7 as the stage?
|
SELECT winner FROM table_name_14 WHERE mountains_classification = "pierre rolland" AND stage = "7"
|
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22,
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1,
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1,
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392,
1,
5357,
3800,
796,
366,
22,
1
] |
who is the the voice actor (japanese) with character name being goku
|
SELECT voice_actor__japanese_ FROM table_1410384_1 WHERE character_name = "Goku"
|
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2095,
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3672,
796,
366,
38,
11601,
1
] |
had patient 011-55642 been diagnosed with any disease during the current hospital encounter?
|
SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '011-55642' AND patient.hospitaldischargetime IS NULL))
|
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For which play was the points 271?
|
SELECT played FROM table_name_74 WHERE points_against = "271"
|
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What is the total amount of points that Christy has in the years before 1954?
|
SELECT SUM(points) FROM table_name_59 WHERE entrant = "christy" AND year < 1954
|
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For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by time, and order by the y-axis from high to low.
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(SALARY) DESC
|
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8,
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34
] |
Which rank's country is the US when the accolade is 40 best albums of the year?
|
SELECT "Rank" FROM table_76013 WHERE "Country" = 'us' AND "Accolade" = '40 best albums of the year'
|
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] |
What venue is the home of the Carlton team?
|
SELECT "Venue" FROM table_51333 WHERE "Home team" = 'carlton'
|
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] |
What is the highest Pick, when Player is 'Todd Van Poppel'?
|
SELECT MAX("Pick") FROM table_59018 WHERE "Player" = 'todd van poppel'
|
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What is the Rank of the Rowers with FA as Notes?
|
SELECT AVG("Rank") FROM table_79601 WHERE "Notes" = 'fa'
|
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Name the total number of districts for rob teplitz
|
SELECT COUNT(district) FROM table_1979619_3 WHERE representative = "Rob Teplitz"
|
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how many total languages were there ?
|
SELECT COUNT(DISTINCT ("language")) FROM table_204_546
|
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How many years had a location at Forest Hills and a score of 6 3, 6 3 for John McEnroe?
|
SELECT COUNT(year) FROM table_name_42 WHERE location = "forest hills" AND runner_up = "john mcenroe" AND score = "6–3, 6–3"
|
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366,
21,
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18,
11,
718,
1906,
18,
1
] |
Which Score has a Year larger than 1980, and a Margin of victory of 2 strokes, and a Country of united states, and a Player of jim furyk?
|
SELECT "Score" FROM table_36108 WHERE "Year" > '1980' AND "Margin of victory" = '2 strokes' AND "Country" = 'united states' AND "Player" = 'jim furyk'
|
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Total larger than 3, and a Rank of 4, and a Silver larger than 0 has what average gold?
|
SELECT AVG("Gold") FROM table_38354 WHERE "Total" > '3' AND "Rank" = '4' AND "Silver" > '0'
|
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How many patients are diagnosed with icd9 code 5679 and had a main drug type?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "5679" AND prescriptions.drug_type = "MAIN"
|
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show me the number of patients less than 71 years who have lab test item id 50856.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "71" AND lab.itemid = "50856"
|
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What are the results of Format single on March 21?
|
SELECT result_s_ FROM table_name_34 WHERE format_s_ = "single" AND date = "march 21"
|
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] |
what is the score when the game is higher than 66 on march 28?
|
SELECT score FROM table_name_82 WHERE game > 66 AND march = 28
|
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what song made it to the highest rank on the us rap charts ?
|
SELECT "song" FROM table_204_56 ORDER BY "us rap" LIMIT 1
|
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What are the different product names, and what is the sum of quantity ordered for each product. Visualize by bar chart.
|
SELECT product_name, SUM(T1.product_quantity) FROM Order_Items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name
|
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What is every institution with the nickname of Wildcats?
|
SELECT "Institution" FROM table_28413 WHERE "Nickname" = 'WildCats'
|
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366,
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What is the Winnipeg Jets record?
|
SELECT "Record" FROM table_37042 WHERE "Opponent" = 'winnipeg jets'
|
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86,
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21700,
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] |
Where was the tournament won by Hale Irwin (19)?
|
SELECT location FROM table_name_93 WHERE winner = "hale irwin (19)"
|
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3084,
62,
3672,
62,
6052,
33411,
8464,
796,
366,
71,
1000,
4173,
5404,
357,
1129,
16725
] |
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1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
8496,
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62,
6052,
33411,
8464,
796,
366,
71,
1000,
4173,
5404,
357,
1129,
16725
] |
What is the average points that have a December less than 6, with a game greater than 26?
|
SELECT AVG(points) FROM table_name_17 WHERE december < 6 AND game > 26
|
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2061,
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262,
2811,
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326,
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13033,
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62,
3672,
62,
1558,
33411,
390,
3273,
1279,
718,
5357,
983,
1875,
2608
] |
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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62,
3672,
62,
1558,
33411,
390,
3273,
1279,
718,
5357,
983,
1875,
2608
] |
Visualize the general trend of the number of planned delivery date over the planned delivery date, and I want to order in ascending by the x axis.
|
SELECT Planned_Delivery_Date, COUNT(Planned_Delivery_Date) FROM Bookings ORDER BY Planned_Delivery_Date
|
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62,
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62,
10430
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8,
16034,
4897,
654,
38678,
11050,
18451,
62,
33129,
62,
10430
] |
Which vocal type is the most frequently appearring type?
|
SELECT TYPE FROM vocals GROUP BY TYPE ORDER BY COUNT(*) DESC LIMIT 1
|
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327,
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7,
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34,
27564,
2043,
352
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
13828,
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41876,
38678,
11050,
327,
28270,
7,
28104,
22196,
34,
27564,
2043,
352
] |
What is the number of population for lithuania?
|
SELECT COUNT(population) FROM table_1307842_7 WHERE member_countries = "Lithuania"
|
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2061,
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8,
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62,
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3682,
62,
22,
33411,
2888,
62,
9127,
1678,
796,
366,
43,
342,
29743,
1
] |
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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62,
22,
33411,
2888,
62,
9127,
1678,
796,
366,
43,
342,
29743,
1
] |
What is the Date of the match against Guillermo Olaso?
|
SELECT "Date" FROM table_12585 WHERE "Opponent" = 'guillermo olaso'
|
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366,
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1,
796,
705,
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267,
21921,
78,
6
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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2061,
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366,
27524,
3471,
1,
796,
705,
5162,
4665,
5908,
267,
21921,
78,
6
] |
What is the report for the race i sunday mirror trophy?
|
SELECT report FROM table_1140099_6 WHERE race_name = "I Sunday Mirror Trophy"
|
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21,
33411,
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62,
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796,
366,
40,
3502,
17918,
25640,
1
] |
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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2061,
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62,
21,
33411,
3234,
62,
3672,
796,
366,
40,
3502,
17918,
25640,
1
] |
When 00:02 is the total footage (mm:ss) what is the story number?
|
SELECT "Story no." FROM table_22666 WHERE "Total footage (mm:ss)" = '00:02'
|
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2215,
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366,
14957,
9640,
357,
3020,
25,
824,
16725,
796,
705,
405,
25,
2999,
6
] |
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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366,
14957,
9640,
357,
3020,
25,
824,
16725,
796,
705,
405,
25,
2999,
6
] |
how many total times in new jersey represented in this chart ?
|
SELECT COUNT(*) FROM table_204_190 WHERE "state" = 'new jersey'
|
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4919,
867,
2472,
1661,
287,
649,
22383,
7997,
287,
428,
8262,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
19782,
33411,
366,
5219,
1,
796,
705,
3605,
22383,
6
] |
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1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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4919,
867,
2472,
1661,
287,
649,
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428,
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3084,
62,
18638,
62,
19782,
33411,
366,
5219,
1,
796,
705,
3605,
22383,
6
] |
What is the number of locations with the fastest times of 11.13?
|
SELECT COUNT(location) FROM table_1231316_7 WHERE fastest_time__s_ = "11.13"
|
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2061,
318,
262,
1271,
286,
7064,
351,
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30,
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327,
28270,
7,
24886,
8,
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3084,
62,
10163,
1485,
1433,
62,
22,
33411,
14162,
62,
2435,
834,
82,
62,
796,
366,
1157,
13,
1485,
1
] |
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1,
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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] |
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22,
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14162,
62,
2435,
834,
82,
62,
796,
366,
1157,
13,
1485,
1
] |
What is the average episode # with a name of the origin of Donnie (part 1)?
|
SELECT AVG(episode__number) FROM table_name_75 WHERE episode_name = "the origin of donnie (part 1)"
|
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2061,
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11952,
357,
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352,
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62,
3672,
796,
366,
1169,
8159,
286,
836,
11952,
357,
3911,
352,
16725
] |
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1,
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1,
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62,
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62,
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33411,
4471,
62,
3672,
796,
366,
1169,
8159,
286,
836,
11952,
357,
3911,
352,
16725
] |
What is the Undecided the others was 4%?
|
SELECT undecided FROM table_name_70 WHERE others = "4%"
|
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2061,
318,
262,
13794,
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3084,
62,
3672,
62,
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19,
39658
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1,
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1,
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1,
1,
1,
1,
1
] |
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2061,
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3084,
62,
3672,
62,
2154,
33411,
1854,
796,
366,
19,
39658
] |
If the Home team was st kilda, what was the score of the Away team they played?
|
SELECT "Away team score" FROM table_11894 WHERE "Home team" = 'st kilda'
|
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1532,
262,
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4531,
19,
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366,
16060,
1074,
1,
796,
705,
301,
479,
27281,
6
] |
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1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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4531,
19,
33411,
366,
16060,
1074,
1,
796,
705,
301,
479,
27281,
6
] |
Where did they play the San Diego Chargers?
|
SELECT "Game site" FROM table_18037 WHERE "Opponent" = 'San Diego Chargers'
|
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8496,
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62,
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2718,
33411,
366,
27524,
3471,
1,
796,
705,
15017,
9500,
23559,
6
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1,
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1,
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1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1
] |
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8496,
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2718,
33411,
366,
27524,
3471,
1,
796,
705,
15017,
9500,
23559,
6
] |
What is the total number of each ship type? Give me a bar chart, and list Type in desc order.
|
SELECT Type, COUNT(Type) FROM ship GROUP BY Type ORDER BY Type DESC
|
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2061,
318,
262,
2472,
1271,
286,
1123,
4074,
2099,
30,
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8262,
11,
290,
1351,
5994,
287,
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1502,
13,
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5994,
11,
327,
28270,
7,
6030,
8,
16034,
4074,
44441,
11050,
5994,
38678,
11050,
5994,
22196,
34
] |
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
318,
262,
2472,
1271,
286,
1123,
4074,
2099,
30,
13786,
502,
257,
2318,
8262,
11,
290,
1351,
5994,
287,
1715,
1502,
13,
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11,
327,
28270,
7,
6030,
8,
16034,
4074,
44441,
11050,
5994,
38678,
11050,
5994,
22196,
34
] |
when was the last time during the last hospital encounter that patient 4326 was prescribed for a medication?
|
SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4326 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) ORDER BY prescriptions.startdate DESC LIMIT 1
|
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11050,
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13,
9688,
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34,
27564,
2043,
352
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38678,
11050,
34092,
13,
9688,
4475,
22196,
34,
27564,
2043,
352
] |
For Raison Blue with a nicotine larger than 0.30000000000000004, what's the lowest quantity?
|
SELECT MIN("Quantity") FROM table_38190 WHERE "Name" = 'raison blue' AND "Nicotine" > '0.30000000000000004'
|
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1890,
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8269,
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6
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24598,
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6
] |
Name the number of position for democratic republic of the congo
|
SELECT COUNT(position) FROM table_24565004_13 WHERE nationality² = "Democratic Republic of the Congo"
|
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29835,
31185,
796,
366,
33939,
2066,
286,
262,
25935,
1
] |
posts of a user that are tagged as apex.
|
SELECT DISTINCT u.DisplayName, CONCAT('https://stackoverflow.com/users/', u.Id) AS "profile_link", u.Location, u.AboutMe, u.Reputation FROM Users AS u, Posts AS q, Posts AS a WHERE u.Id = a.OwnerUserId AND a.ParentId = q.Id AND a.PostTypeId = 2 AND q.Tags LIKE '%apex%' AND q.PostTypeId = 1 ORDER BY u.Reputation DESC
|
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6207,
7094,
22196,
34
] |
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7390,
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352,
38678,
11050,
334,
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6207,
7094,
22196,
34
] |
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and manufacturer , and group by attribute founder, show from low to high by the Y-axis.
|
SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Manufacturer
|
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16,
13,
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5376,
38678,
11050,
309,
16,
13,
44445,
15051
] |
among total number of patients diagnosed with tietze's disease, calculate the number of those who were aged below 80.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "80" AND diagnoses.long_title = "Tietze's disease"
|
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366,
51,
1155,
2736,
338,
4369,
1
] |
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6511,
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7839,
796,
366,
51,
1155,
2736,
338,
4369,
1
] |
is patient 035-17122's respiration last measured on the last icu visit less than the value first measured on the last icu visit?
|
SELECT (SELECT vitalperiodic.respiration FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-17122') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND NOT vitalperiodic.respiration IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1) < (SELECT vitalperiodic.respiration FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-17122') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND NOT vitalperiodic.respiration IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1)
|
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] |
What is the Location when France was the runner-up at club de campo?
|
SELECT "Location" FROM table_41365 WHERE "Runners-up" = 'france' AND "Venue" = 'club de campo'
|
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2061,
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1,
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5357,
366,
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518,
1,
796,
705,
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1413,
78,
6
] |
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5357,
366,
37522,
518,
1,
796,
705,
18664,
390,
1413,
78,
6
] |
when did the first sheriff 's term start ?
|
SELECT MIN("start of term") FROM table_203_321
|
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750,
262,
717,
16570,
705,
82,
3381,
923,
5633,
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20625,
7203,
9688,
286,
3381,
4943,
16034,
3084,
62,
22416,
62,
36453
] |
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] |
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62,
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] |
Plot the total number by grouped by competition type as a bar graph
|
SELECT Competition_type, COUNT(*) FROM competition GROUP BY Competition_type
|
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] |
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] |
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] |
what is the cheapest one way fare between BOSTON and OAKLAND
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'OAKLAND' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
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what was the amount of pioglitazone that patient 16992 were prescribed in total?
|
SELECT SUM(prescriptions.dose_val_rx) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16992) AND prescriptions.drug = 'pioglitazone'
|
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What country has the t7 place, and player Peter Oosterhuis?
|
SELECT country FROM table_name_48 WHERE place = "t7" AND player = "peter oosterhuis"
|
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Who was played against with a result of 3 6, 2 6?
|
SELECT "Against" FROM table_69223 WHERE "Result" = '3–6, 2–6'
|
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Which month has the most happy hours?
|
SELECT month FROM happy_hour GROUP BY month ORDER BY COUNT(*) DESC LIMIT 1
|
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Plot openning year by how many openning year as a trend line, display by the x axis in ascending please.
|
SELECT Openning_year, COUNT(Openning_year) FROM cinema ORDER BY Openning_year
|
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Average votes (Up and/or Down) for questions tagged with [Riddle].
|
SELECT * FROM PostFeedback RIGHT JOIN Posts ON PostId = Posts.Id WHERE Tags = 'riddle'
|
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] |
What are the average wins that have great britain as the team?
|
SELECT AVG(wins) FROM table_name_80 WHERE team = "great britain"
|
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] |
If the player is Hashan Tillakaratne, what is the catches minimum?
|
SELECT MIN("Catches") FROM table_28279 WHERE "Player" = 'Hashan Tillakaratne'
|
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Name the 1st match for brisbane bears
|
SELECT "1st Match" FROM table_71865 WHERE "Team" = 'brisbane bears'
|
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] |
what is marital status and date of birth of subject id 92796?
|
SELECT demographic.marital_status, demographic.dob FROM demographic WHERE demographic.subject_id = "92796"
|
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24,
1983,
4846,
1
] |
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366,
24,
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4846,
1
] |
What is the home team score when the away team was fitzroy?
|
SELECT "Home team score" FROM table_10169 WHERE "Away team" = 'fitzroy'
|
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2061,
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1363,
1074,
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618,
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366,
32,
1014,
1074,
1,
796,
705,
69,
4224,
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1,
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796,
705,
69,
4224,
3287,
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] |
Which Points Classification does the General Classification of Cyril Dessel have?
|
SELECT points_classification FROM table_name_9 WHERE general_classification = "cyril dessel"
|
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1
] |
For those employees who was hired before 2002-06-21, give me the comparison about the average of manager_id over the job_id , and group by attribute job_id by a bar chart.
|
SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID
|
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2389
] |
what is the score when the outcome is winner against yevgeny kafelnikov?
|
SELECT score FROM table_name_51 WHERE outcome = "winner" AND opponent = "yevgeny kafelnikov"
|
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366,
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417,
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1
] |
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796,
366,
88,
1990,
5235,
88,
479,
1878,
417,
45451,
1
] |
Total users on the site.
|
SELECT COUNT(Id) FROM Users
|
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14957,
2985,
319,
262,
2524,
13,
46506,
327,
28270,
7,
7390,
8,
16034,
18987
] |
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1,
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2524,
13,
46506,
327,
28270,
7,
7390,
8,
16034,
18987
] |
Show the names of products and the number of events they are in, sorted by the number of events in descending order.
|
SELECT T1.Product_Name, COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY COUNT(*) DESC
|
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38678,
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28104,
22196,
34
] |
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62,
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38678,
11050,
327,
28270,
7,
28104,
22196,
34
] |
what are the three most commonly given lab tests for patients who have previously received pancreat sphincteroplas during the same month during this year?
|
SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t3.itemid FROM (SELECT t2.itemid, 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 = 'pancreat sphincteroplas') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, labevents.itemid, labevents.charttime FROM labevents JOIN admissions ON labevents.hadm_id = admissions.hadm_id WHERE DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) 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.itemid) AS t3 WHERE t3.c1 <= 3)
|
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1,
1,
1,
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1,
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1
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262,
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66,
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19841,
513,
8
] |
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