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CREATE TABLE table_9921 ("Date" TEXT, "Favorable" FLOAT, "No Opinion" FLOAT, "Unfavorable" FLOAT, "Net Favorable" TEXT)
| What is the most unfavorable that is favorable of 34 during 1953 August and has a no opinion score larger than 24? | SELECT MAX("Unfavorable") FROM table_9921 WHERE "Favorable" = '34' AND "Date" = '1953 august' AND "No Opinion" > '24' | SELECT MAX("Unfavorable") FROM "table_9921" WHERE "Date" = '1953 august' AND "Favorable" = '34' AND "No Opinion" > '24' | 0.116211 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| had patient 26612 been prescribed a prescription of any drug until 2104? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 26612) AND STRFTIME('%y', prescriptions.startdate) <= '2104' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 26612 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "prescriptions"."startdate") <= '2104' | 0.310547 |
CREATE TABLE table_78407 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What constructor has under 62 laps, a Time/Retired of gearbox, a Grid larger than 1, and pedro diniz driving? | SELECT "Constructor" FROM table_78407 WHERE "Laps" < '62' AND "Time/Retired" = 'gearbox' AND "Grid" > '1' AND "Driver" = 'pedro diniz' | SELECT "Constructor" FROM "table_78407" WHERE "Driver" = 'pedro diniz' AND "Grid" > '1' AND "Laps" < '62' AND "Time/Retired" = 'gearbox' | 0.132813 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, show me about the distribution of founder and the amount of founder , and group by attribute founder in a bar chart, rank by the bar in ascending please. | SELECT Founder, COUNT(Founder) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder | SELECT "Founder", COUNT("Founder") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder" NULLS FIRST | 0.169922 |
CREATE TABLE table_79717 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Silver has a Rank of 6, and a Bronze smaller than 3? | SELECT MIN("Silver") FROM table_79717 WHERE "Rank" = '6' AND "Bronze" < '3' | SELECT MIN("Silver") FROM "table_79717" WHERE "Bronze" < '3' AND "Rank" = '6' | 0.075195 |
CREATE TABLE nuclear_power_plants (id TEXT, name TEXT, latitude TEXT, longitude TEXT, country TEXT, status TEXT, reactortype TEXT, reactormodel TEXT, constructionstartat TEXT, operationalfrom TEXT, operationalto TEXT, capacity TEXT, lastupdatedat TEXT, source TEXT)
| What is the maximum capacity of existing pressurized water reactor? | SELECT MAX(capacity) FROM nuclear_power_plants WHERE reactortype = "PWR" AND status = "Operational" | SELECT MAX("capacity") FROM "nuclear_power_plants" WHERE "Operational" = "status" AND "PWR" = "reactortype" | 0.104492 |
CREATE TABLE journalist (journalist_ID INT, Name TEXT, Nationality TEXT, Age TEXT, Years_working INT)
CREATE TABLE event (Event_ID INT, Date TEXT, Venue TEXT, Name TEXT, Event_Attendance INT)
CREATE TABLE news_report (journalist_ID INT, Event_ID INT, Work_Type TEXT)
| Show me a bar chart for what are the nationalities and total ages of journalists?, and display from low to high by the total number. | SELECT Nationality, SUM(Age) FROM journalist GROUP BY Nationality ORDER BY SUM(Age) | SELECT "Nationality", SUM("Age") FROM "journalist" GROUP BY "Nationality" ORDER BY SUM("Age") NULLS FIRST | 0.102539 |
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
| Find Time and meter_100 , and visualize them by a bar chart, list in desc by the y axis. | SELECT Time, meter_100 FROM swimmer ORDER BY meter_100 DESC | SELECT "Time", "meter_100" FROM "swimmer" ORDER BY "meter_100" DESC NULLS LAST | 0.076172 |
CREATE TABLE table_29799700_2 (series_premiere VARCHAR, alternante_title VARCHAR)
| What was the premiere date for the episode whose alternate title was mi o i przeznaczenie? | SELECT series_premiere FROM table_29799700_2 WHERE alternante_title = "Miłość i przeznaczenie" | SELECT "series_premiere" FROM "table_29799700_2" WHERE "Miłość i przeznaczenie" = "alternante_title" | 0.097656 |
CREATE TABLE table_64173 ("Year" FLOAT, "Game" TEXT, "Genre" TEXT, "Platform ( s ) " TEXT, "Developer ( s ) " TEXT)
| What is the genre for 2009 on Playstation 3? | SELECT "Genre" FROM table_64173 WHERE "Year" > '2009' AND "Platform(s)" = 'playstation 3' | SELECT "Genre" FROM "table_64173" WHERE "Platform(s)" = 'playstation 3' AND "Year" > '2009' | 0.088867 |
CREATE TABLE table_214920_1 (land_area VARCHAR, density__pop_per_km2_ VARCHAR)
| What is the land area of the RCM having a density of 21.1? | SELECT land_area FROM table_214920_1 WHERE density__pop_per_km2_ = "21.1" | SELECT "land_area" FROM "table_214920_1" WHERE "21.1" = "density__pop_per_km2_" | 0.077148 |
CREATE TABLE table_11030 ("Position" FLOAT, "Drivers" TEXT, "Class" TEXT, "Class Position" FLOAT, "Laps" FLOAT)
| What is the smallest Class Position that has drivers Les Palmer, Terry Morris, and a Position larger than 23? | SELECT MIN("Class Position") FROM table_11030 WHERE "Drivers" = 'les palmer, terry morris' AND "Position" > '23' | SELECT MIN("Class Position") FROM "table_11030" WHERE "Drivers" = 'les palmer, terry morris' AND "Position" > '23' | 0.111328 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about revenue over the name , and group by attribute name, and could you rank from high to low by the bars please? | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Name DESC | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name", "T1"."Name" ORDER BY "T1"."Name" DESC NULLS LAST | 0.19043 |
CREATE TABLE table_28283535_4 (rating VARCHAR, episode VARCHAR)
| What is the rating of episode 1.04? | SELECT rating FROM table_28283535_4 WHERE episode = "1.04" | SELECT "rating" FROM "table_28283535_4" WHERE "1.04" = "episode" | 0.0625 |
CREATE TABLE table_932 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Stadium" TEXT, "Record" TEXT, "Attendance" FLOAT)
| what's the result with opponent being at oakland raiders | SELECT "Result" FROM table_932 WHERE "Opponent" = 'at Oakland Raiders' | SELECT "Result" FROM "table_932" WHERE "Opponent" = 'at Oakland Raiders' | 0.070313 |
CREATE TABLE table_16279 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
| When did the 113 episode air? | SELECT "Original air date" FROM table_16279 WHERE "No. in series" = '113' | SELECT "Original air date" FROM "table_16279" WHERE "No. in series" = '113' | 0.073242 |
CREATE TABLE table_name_44 (score VARCHAR, opponent_in_the_final VARCHAR)
| What was the score when the opponent in the final was iroda tulyaganova? | SELECT score FROM table_name_44 WHERE opponent_in_the_final = "iroda tulyaganova" | SELECT "score" FROM "table_name_44" WHERE "iroda tulyaganova" = "opponent_in_the_final" | 0.084961 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| how much does it cost for the hospital stay of patient 24364 in 2101? | SELECT SUM(cost.cost) FROM cost WHERE cost.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 24364) AND STRFTIME('%y', cost.chargetime) = '2101' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 24364 GROUP BY "hadm_id") SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") = '2101' | 0.290039 |
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Search keyword in user comments. | SELECT CONCAT('http://stackoverflow.com/questions/', PostId), Score, Text, CreationDate FROM Comments WHERE Text LIKE '%##Keyword1##%' AND Text LIKE '%##Keyword2##%' AND Text LIKE '%##Keyword3##%' COLLATE Latin1_General_100_CI_AI_SC ORDER BY CreationDate DESC | SELECT CONCAT('http://stackoverflow.com/questions/', "PostId"), "Score", "Text", "CreationDate" FROM "Comments" WHERE "Text" LIKE '%##Keyword1##%' AND "Text" LIKE '%##Keyword2##%' AND "Text" LIKE COLLATE('%##Keyword3##%', "Latin1_General_100_CI_AI_SC") ORDER BY "CreationDate" DESC NULLS LAST | 0.285156 |
CREATE TABLE table_28554 ("Episode #" FLOAT, "Prod #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Originalairdate" TEXT)
| what is the title of the episode daphne field wrote? | SELECT "Title" FROM table_28554 WHERE "Written by" = 'Daphne Field' | SELECT "Title" FROM "table_28554" WHERE "Written by" = 'Daphne Field' | 0.067383 |
CREATE TABLE table_name_50 (name VARCHAR, height VARCHAR, block VARCHAR, weight VARCHAR)
| What is the Name of the player with less than 342 Block, less than 87 Weight and Height more than 187? | SELECT name FROM table_name_50 WHERE block < 342 AND weight < 87 AND height > 187 | SELECT "name" FROM "table_name_50" WHERE "block" < 342 AND "height" > 187 AND "weight" < 87 | 0.088867 |
CREATE TABLE table_name_25 (score VARCHAR, date VARCHAR)
| what is the score for the game on 21 april 2001? | SELECT score FROM table_name_25 WHERE date = "21 april 2001" | SELECT "score" FROM "table_name_25" WHERE "21 april 2001" = "date" | 0.064453 |
CREATE TABLE table_55420 ("Rd #" FLOAT, "Pick #" FLOAT, "Player" TEXT, "Team ( League ) " TEXT, "Reg GP" FLOAT, "Pl GP" FLOAT)
| Name the least RD number that has PI GP more than 0 and pick # more than 51 | SELECT MIN("Rd #") FROM table_55420 WHERE "Pl GP" > '0' AND "Pick #" > '51' | SELECT MIN("Rd #") FROM "table_55420" WHERE "Pick #" > '51' AND "Pl GP" > '0' | 0.075195 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| what were the three most frequent drugs that were prescribed to male patients 30s during the same hospital visit after having been diagnosed with nonrupt cerebral aneurym since 2104? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'nonrupt cerebral aneurym') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2104') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 30 AND 39 AND STRFTIME('%y', prescriptions.startdate) >= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'm' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 39 AND "admissions"."age" >= 30 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "prescriptions"."startdate") >= '2104'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'nonrupt cerebral aneurym' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2104' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 | 1.15332 |
CREATE TABLE table_47569 ("City" TEXT, "Country" TEXT, "IATA" TEXT, "ICAO" TEXT, "Airport" TEXT)
| Which country has the Narita International Airport? | SELECT "Country" FROM table_47569 WHERE "Airport" = 'narita international airport' | SELECT "Country" FROM "table_47569" WHERE "Airport" = 'narita international airport' | 0.082031 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
| Top Answerers by Accepted Percentage. | SELECT A.OwnerUserId AS "user_link", (CAST(COUNT(A.Id) AS FLOAT) / (SELECT COUNT(*) FROM Posts WHERE OwnerUserId = A.OwnerUserId AND PostTypeId = 2) * 100) AS AcceptedPercent FROM Posts AS A INNER JOIN Posts AS Q ON Q.AcceptedAnswerId = A.Id WHERE A.PostTypeId = 2 AND (SELECT COUNT(*) FROM Posts WHERE PostTypeId = 2 AND OwnerUserId = A.OwnerUserId) > 100 GROUP BY A.OwnerUserId ORDER BY 'acceptedpercent' DESC LIMIT @N | WITH "_u_0" AS (SELECT COUNT(*), "A"."OwnerUserId" AS "_u_1", "OwnerUserId" AS "_u_2", 2 AS "_u_3" FROM "Posts" GROUP BY "A"."OwnerUserId", "OwnerUserId", 2), "_u_4" AS (SELECT COUNT(*), 2 AS "_u_5", "A"."OwnerUserId" AS "_u_6", "OwnerUserId" AS "_u_7" FROM "Posts" GROUP BY 2, "A"."OwnerUserId", "OwnerUserId") SELECT "A"."OwnerUserId" AS "user_link", CAST(COUNT("A"."Id") AS FLOAT) / NULLIF(COALESCE("_u_0"."", *), 0) * 100 AS "AcceptedPercent" FROM "Posts" AS "A" LEFT JOIN "_u_0" AS "_u_0" ON "PostTypeId" = "_u_0"."_u_3" AND "_u_0"."_u_1" = "_u_0"."_u_2" LEFT JOIN "_u_4" AS "_u_4" ON "PostTypeId" = "_u_4"."_u_5" AND "_u_4"."_u_6" = "_u_4"."_u_7" JOIN "Posts" AS "Q" ON "A"."Id" = "Q"."AcceptedAnswerId" WHERE "A"."PostTypeId" = 2 AND COALESCE("_u_4"."", *) > 100 GROUP BY "A"."OwnerUserId" ORDER BY 'acceptedpercent' DESC NULLS LAST LIMIT $N | 0.828125 |
CREATE TABLE Engineer_Visits (fault_log_entry_id VARCHAR)
CREATE TABLE Fault_Log (fault_log_entry_id VARCHAR)
| How many engineer visits are required at most for a single fault log? List the number and the log entry id. | SELECT COUNT(*), T1.fault_log_entry_id FROM Fault_Log AS T1 JOIN Engineer_Visits AS T2 ON T1.fault_log_entry_id = T2.fault_log_entry_id GROUP BY T1.fault_log_entry_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT COUNT(*), "T1"."fault_log_entry_id" FROM "Fault_Log" AS "T1" JOIN "Engineer_Visits" AS "T2" ON "T1"."fault_log_entry_id" = "T2"."fault_log_entry_id" GROUP BY "T1"."fault_log_entry_id" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.226563 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients are with private insurance and born before 1887? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.dob_year < "1887" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1887" > "demographic"."dob_year" AND "Private" = "demographic"."insurance" | 0.146484 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| what is patient 82132 first diagnosis time of schizoaffective dis nos during the current hospital visit? | SELECT diagnoses_icd.charttime FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'schizoaffective dis nos') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 82132 AND admissions.dischtime IS NULL) ORDER BY diagnoses_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 82132 GROUP BY "hadm_id") SELECT "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'schizoaffective dis nos' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL ORDER BY "diagnoses_icd"."charttime" NULLS FIRST LIMIT 1 | 0.506836 |
CREATE TABLE table_name_59 (time_retired VARCHAR, laps VARCHAR)
| What's the Time/Retired of Laps of 75? | SELECT time_retired FROM table_name_59 WHERE laps = 75 | SELECT "time_retired" FROM "table_name_59" WHERE "laps" = 75 | 0.058594 |
CREATE TABLE table_26352332_4 (years_produced VARCHAR, cylinder_layout VARCHAR)
| The cylinder layout v8 is produced in what years? | SELECT years_produced FROM table_26352332_4 WHERE cylinder_layout = "V8" | SELECT "years_produced" FROM "table_26352332_4" WHERE "V8" = "cylinder_layout" | 0.076172 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
| exists any record of the microbiology test for the urine,kidney of patient 63676 during this year? | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 63676) AND microbiologyevents.spec_type_desc = 'urine,kidney' AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 63676 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'urine,kidney' AND DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL | 0.4375 |
CREATE TABLE table_12083 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Points" FLOAT, "Place" FLOAT)
| The song 'Before the Clock Strikes 12' has 55 points. What number did the song place? | SELECT SUM("Place") FROM table_12083 WHERE "Song" = 'before the clock strikes 12' AND "Points" > '55' | SELECT SUM("Place") FROM "table_12083" WHERE "Points" > '55' AND "Song" = 'before the clock strikes 12' | 0.100586 |
CREATE TABLE table_name_17 (position VARCHAR, overall VARCHAR, round VARCHAR, pick VARCHAR)
| Which Position has a Round smaller than 8, a Pick of 20, and an Overall smaller than 186? | SELECT position FROM table_name_17 WHERE round < 8 AND pick = 20 AND overall < 186 | SELECT "position" FROM "table_name_17" WHERE "overall" < 186 AND "pick" = 20 AND "round" < 8 | 0.089844 |
CREATE TABLE table_32182 ("Round" FLOAT, "Overall" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
| What was James Reed's draft round number? | SELECT COUNT("Round") FROM table_32182 WHERE "Player" = 'james reed' | SELECT COUNT("Round") FROM "table_32182" WHERE "Player" = 'james reed' | 0.068359 |
CREATE TABLE table_71668 ("Name" TEXT, "Years" TEXT, "Gender" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" TEXT)
| Which Names have Deciles larger than 7? | SELECT "Name" FROM table_71668 WHERE "Decile" > '7' | SELECT "Name" FROM "table_71668" WHERE "Decile" > '7' | 0.051758 |
CREATE TABLE table_33267 ("Name" TEXT, "Team" TEXT, "Laps" FLOAT, "Grid" FLOAT, "Points" FLOAT)
| What is the highest number of laps when there are less than 5 points for team garry rogers motorsport and the grid number is under 23? | SELECT MAX("Laps") FROM table_33267 WHERE "Points" < '5' AND "Team" = 'garry rogers motorsport' AND "Grid" < '23' | SELECT MAX("Laps") FROM "table_33267" WHERE "Grid" < '23' AND "Points" < '5' AND "Team" = 'garry rogers motorsport' | 0.112305 |
CREATE TABLE table_name_31 (total INT, year_s__won VARCHAR)
| In 1991, what was the lowest total? | SELECT MIN(total) FROM table_name_31 WHERE year_s__won = "1991" | SELECT MIN("total") FROM "table_name_31" WHERE "1991" = "year_s__won" | 0.067383 |
CREATE TABLE table_49279 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
| What is the score of the game on December 22? | SELECT "Score" FROM table_49279 WHERE "Date" = 'december 22' | SELECT "Score" FROM "table_49279" WHERE "Date" = 'december 22' | 0.060547 |
CREATE TABLE table_name_45 (home_team VARCHAR, away_team VARCHAR)
| What home team has coventry city as the away team? | SELECT home_team FROM table_name_45 WHERE away_team = "coventry city" | SELECT "home_team" FROM "table_name_45" WHERE "away_team" = "coventry city" | 0.073242 |
CREATE TABLE table_name_42 (score VARCHAR, to_par VARCHAR, player VARCHAR)
| When curtis strange had a to par +1, what was his score? | SELECT score FROM table_name_42 WHERE to_par = "+1" AND player = "curtis strange" | SELECT "score" FROM "table_name_42" WHERE "+1" = "to_par" AND "curtis strange" = "player" | 0.086914 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| 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 | SELECT "patient"."hospitaldischargetime" FROM "patient" WHERE "patient"."uniquepid" = '010-11305' AND STRFTIME('%y', "patient"."hospitaldischargetime") <= '2101' ORDER BY "patient"."hospitaldischargetime" DESC NULLS LAST LIMIT 1 | 0.222656 |
CREATE TABLE table_21682 ("School" TEXT, "Years of Participation" TEXT, "OCC Championships" FLOAT, "Last OCC Championship" TEXT, "Last Outright OCC Championship" TEXT)
| How many schools won their last occ championship in 2006? | SELECT COUNT("School") FROM table_21682 WHERE "Last OCC Championship" = '2006' | SELECT COUNT("School") FROM "table_21682" WHERE "Last OCC Championship" = '2006' | 0.078125 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
| show me the cheapest flights round trip from NEW YORK to SAN JOSE arriving in SAN JOSE before 1900 | 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, fare, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN JOSE' AND flight.arrival_time < 1900 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_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 (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN JOSE' AND FLIGHTalias1.arrival_time < 1900 AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'NEW YORK' 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 flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."round_trip_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'NEW YORK' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "FLIGHTalias1"."arrival_time" < 1900 JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'SAN JOSE' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'NEW YORK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."arrival_time" < 1900 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN JOSE' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."round_trip_cost" | 1.540039 |
CREATE TABLE table_name_35 (date VARCHAR, record VARCHAR)
| What was the date the record became 26 14 9? | SELECT date FROM table_name_35 WHERE record = "26–14–9" | SELECT "date" FROM "table_name_35" WHERE "26–14–9" = "record" | 0.05957 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, give me the comparison about the sum of code over the founder , and group by attribute founder by a bar chart, could you show in ascending by the X? | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T2.Founder | SELECT "T2"."Founder", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T2"."Founder" NULLS FIRST | 0.179688 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of elective hospital admission patients who were hospitalized for more than 11 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.days_stay > "11" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "11" < "demographic"."days_stay" AND "ELECTIVE" = "demographic"."admission_type" | 0.151367 |
CREATE TABLE journal_committee (Editor_ID INT, Journal_ID INT, Work_Type TEXT)
CREATE TABLE editor (Editor_ID INT, Name TEXT, Age FLOAT)
CREATE TABLE journal (Journal_ID INT, Date TEXT, Theme TEXT, Sales INT)
| Show the name of each editor and the number of journal committees they are on using a bar chart. | SELECT Name, COUNT(*) FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID GROUP BY T1.Editor_ID | SELECT "Name", COUNT(*) FROM "editor" AS "T1" JOIN "journal_committee" AS "T2" ON "T1"."Editor_ID" = "T2"."Editor_ID" GROUP BY "T1"."Editor_ID" | 0.139648 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| what is the monthly average cerebral drain l ventricular drain of patient 462 on the first hospital visit? | SELECT AVG(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 462 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'cerebral drain l ventricular drain' AND d_items.linksto = 'outputevents') GROUP BY STRFTIME('%y-%m', outputevents.charttime) | WITH "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'cerebral drain l ventricular drain' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT AVG("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE "outputevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" WHERE "icustays"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 462 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1)) AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y-%m', "outputevents"."charttime") | 0.664063 |
CREATE TABLE table_63112 ("Season" TEXT, "LeagueContested" TEXT, "Level" FLOAT, "LeaguePosition" TEXT, "Avg.Home Attendance 1" TEXT, "FA Cup" TEXT, "FA Trophy" TEXT, "Leading scorer 1" TEXT)
| Which Level has a Leading scorer 1 of tom greaves 8? | SELECT "Level" FROM table_63112 WHERE "Leading scorer 1" = 'tom greaves 8' | SELECT "Level" FROM "table_63112" WHERE "Leading scorer 1" = 'tom greaves 8' | 0.074219 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| what were the top five most common intakes this year? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 5) | WITH "t1" AS (SELECT "inputevents_cv"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "inputevents_cv" WHERE DATETIME("inputevents_cv"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "inputevents_cv"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.492188 |
CREATE TABLE table_63325 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| Who was the away team when Brighton & Hove Albion was home? | SELECT "Away team" FROM table_63325 WHERE "Home team" = 'brighton & hove albion' | SELECT "Away team" FROM "table_63325" WHERE "Home team" = 'brighton & hove albion' | 0.080078 |
CREATE TABLE table_name_93 (date VARCHAR, competition VARCHAR, venue VARCHAR, goals VARCHAR)
| What is the date of the k-league cup, which has less than 28 goals, at the jeonju venue? | SELECT date FROM table_name_93 WHERE venue = "jeonju" AND goals < 28 AND competition = "k-league cup" | SELECT "date" FROM "table_name_93" WHERE "competition" = "k-league cup" AND "goals" < 28 AND "jeonju" = "venue" | 0.108398 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| when was last time patient 12775 was measured with a less respiratory rate than 19.0 today? | SELECT chartevents.charttime 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 = 12775)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'respiratory rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 19.0 AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12775 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'respiratory rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 19.0 AND DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.875977 |
CREATE TABLE table_27374 ("Pick #" FLOAT, "NFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| Name the nfl team for eric williams | SELECT "NFL Team" FROM table_27374 WHERE "Player" = 'Eric Williams' | SELECT "NFL Team" FROM "table_27374" WHERE "Player" = 'Eric Williams' | 0.067383 |
CREATE TABLE table_name_78 (playoffs VARCHAR, manager VARCHAR, year VARCHAR)
| Manager of spencer abbott, and a Year of 1919 involves what playoffs? | SELECT playoffs FROM table_name_78 WHERE manager = "spencer abbott" AND year = 1919 | SELECT "playoffs" FROM "table_name_78" WHERE "manager" = "spencer abbott" AND "year" = 1919 | 0.088867 |
CREATE TABLE table_75603 ("Call sign" TEXT, "Frequency MHz" FLOAT, "City of license" TEXT, "ERP W" FLOAT, "Class" TEXT, "FCC info" TEXT)
| Call sign of k231bg has what sum of erp w? | SELECT SUM("ERP W") FROM table_75603 WHERE "Call sign" = 'k231bg' | SELECT SUM("ERP W") FROM "table_75603" WHERE "Call sign" = 'k231bg' | 0.06543 |
CREATE TABLE table_203_59 (id DECIMAL, "country" TEXT, "2000" DECIMAL, "2001" DECIMAL, "2002" DECIMAL, "2003" DECIMAL, "2004" DECIMAL, "2005" DECIMAL, "2006" DECIMAL, "2007" DECIMAL, "2008" DECIMAL, "2009" DECIMAL, "2010" DECIMAL, "2011" DECIMAL)
| besides australia which other countries produced more than 100 in the year 2000 ? | SELECT "country" FROM table_203_59 WHERE "country" <> 'australia' AND "2000" > 100 | SELECT "country" FROM "table_203_59" WHERE "2000" > 100 AND "country" <> 'australia' | 0.082031 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is average age of patients whose gender is m and primary disease is brain mass;intracranial hemorrhage? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "BRAIN MASS;INTRACRANIAL HEMORRHAGE" = "demographic"."diagnosis" AND "M" = "demographic"."gender" | 0.150391 |
CREATE TABLE table_name_24 (fa_cup INT, total INT)
| Which FA Cup has a Total smaller than 1? | SELECT AVG(fa_cup) FROM table_name_24 WHERE total < 1 | SELECT AVG("fa_cup") FROM "table_name_24" WHERE "total" < 1 | 0.057617 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| how many prescriptions for ondansetron 4 mg po tab-disperse have been prescribed last year? | SELECT COUNT(*) FROM medication WHERE medication.drugname = 'ondansetron 4 mg po tab-disperse' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(*) FROM "medication" WHERE "medication"."drugname" = 'ondansetron 4 mg po tab-disperse' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.209961 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients whose admission type is newborn and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type" | 0.203125 |
CREATE TABLE table_65706 ("Score" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
| What 2008 has 14.2% as the 2009? | SELECT "2008" FROM table_65706 WHERE "2009" = '14.2%' | SELECT "2008" FROM "table_65706" WHERE "2009" = '14.2%' | 0.053711 |
CREATE TABLE table_204_489 (id DECIMAL, "rank" DECIMAL, "name" TEXT, "height" TEXT, "floors" DECIMAL, "year" DECIMAL, "notes" TEXT)
| what is the name of the last building on this chart ? | SELECT "name" FROM table_204_489 ORDER BY id DESC LIMIT 1 | SELECT "name" FROM "table_204_489" ORDER BY "id" DESC NULLS LAST LIMIT 1 | 0.070313 |
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
| For those dates that have the 5 highest cloud cover rates, please bin the date into day of the week interval and compute their average cloud cover. | SELECT date, AVG(cloud_cover) FROM weather | SELECT "date", AVG("cloud_cover") FROM "weather" | 0.046875 |
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
| Return the number of the date of birth for all the guests with gender code 'Male', list x axis in descending order. | SELECT date_of_birth, COUNT(date_of_birth) FROM Guests WHERE gender_code = "Male" ORDER BY date_of_birth DESC | SELECT "date_of_birth", COUNT("date_of_birth") FROM "Guests" WHERE "Male" = "gender_code" ORDER BY "date_of_birth" DESC NULLS LAST | 0.126953 |
CREATE TABLE table_44659 ("Nat." TEXT, "Name" TEXT, "Moving from" TEXT, "Type" TEXT, "Transfer window" TEXT, "Ends" TEXT)
| What type is Gonz lez? | SELECT "Type" FROM table_44659 WHERE "Name" = 'gonzález' | SELECT "Type" FROM "table_44659" WHERE "Name" = 'gonzález' | 0.056641 |
CREATE TABLE table_1341930_21 (district VARCHAR, party VARCHAR)
| What is the district that has a republican? | SELECT district FROM table_1341930_21 WHERE party = "Republican" | SELECT "district" FROM "table_1341930_21" WHERE "Republican" = "party" | 0.068359 |
CREATE TABLE table_203_720 (id DECIMAL, "date" TEXT, "opponent#" TEXT, "rank#" TEXT, "site" TEXT, "result" TEXT)
| how many matches did the 1987 syracuse orangemen football team play against rival colleges during the month of september , 1987 ? | SELECT COUNT(*) FROM table_203_720 WHERE "date" = 9 | SELECT COUNT(*) FROM "table_203_720" WHERE "date" = 9 | 0.051758 |
CREATE TABLE table_name_16 (gender VARCHAR, decile VARCHAR, name VARCHAR)
| Which gender had a decile of more than 1 and featured the South Auckland Seventh-Day Adventist School? | SELECT gender FROM table_name_16 WHERE decile > 1 AND name = "south auckland seventh-day adventist school" | SELECT "gender" FROM "table_name_16" WHERE "decile" > 1 AND "name" = "south auckland seventh-day adventist school" | 0.111328 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me the trend about employee_id over hire_date with a line chart, could you order x-axis in descending order? | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "HIRE_DATE" DESC NULLS LAST | 0.205078 |
CREATE TABLE table_2562572_44 (population__2011_ VARCHAR, settlement VARCHAR)
| What was the population in 2011 of banatski karlovac? | SELECT population__2011_ FROM table_2562572_44 WHERE settlement = "Banatski Karlovac" | SELECT "population__2011_" FROM "table_2562572_44" WHERE "Banatski Karlovac" = "settlement" | 0.088867 |
CREATE TABLE table_name_42 (home VARCHAR, record VARCHAR)
| Name the home with record of 33-18-9 | SELECT home FROM table_name_42 WHERE record = "33-18-9" | SELECT "home" FROM "table_name_42" WHERE "33-18-9" = "record" | 0.05957 |
CREATE TABLE table_name_42 (date VARCHAR, city___state VARCHAR)
| On what date was the race in Melbourne, Victoria? | SELECT date FROM table_name_42 WHERE city___state = "melbourne, victoria" | SELECT "date" FROM "table_name_42" WHERE "city___state" = "melbourne, victoria" | 0.077148 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients who have lab test item id 51229. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51229" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51229" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.149414 |
CREATE TABLE table_name_28 (captain VARCHAR, coach VARCHAR)
| Who is the captain of the team coached by Giles White? | SELECT captain FROM table_name_28 WHERE coach = "giles white" | SELECT "captain" FROM "table_name_28" WHERE "coach" = "giles white" | 0.06543 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose ethnicity is hispanic/latino - puerto rican and drug code is hydx25? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND prescriptions.formulary_drug_cd = "HYDX25" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "HYDX25" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" | 0.255859 |
CREATE TABLE files (formats VARCHAR)
| For each file format, return the number of artists who released songs in that format. | SELECT COUNT(*), formats FROM files GROUP BY formats | SELECT COUNT(*), "formats" FROM "files" GROUP BY "formats" | 0.056641 |
CREATE TABLE table_name_5 (english_country_name VARCHAR, english_capital_name VARCHAR)
| What is the English name of the country that has Doha as its capital? | SELECT english_country_name FROM table_name_5 WHERE english_capital_name = "doha" | SELECT "english_country_name" FROM "table_name_5" WHERE "doha" = "english_capital_name" | 0.084961 |
CREATE TABLE gymnast (Horizontal_Bar_Points INT)
| What is the average horizontal bar points for all gymnasts? | SELECT AVG(Horizontal_Bar_Points) FROM gymnast | SELECT AVG("Horizontal_Bar_Points") FROM "gymnast" | 0.048828 |
CREATE TABLE table_39916 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Points difference" TEXT, "Tries For" TEXT, "Tries Against" TEXT, "Try Bonus" TEXT, "Losing Bonus" TEXT, "Points" TEXT)
| What is the Points with a Tries For that is 21? | SELECT "Points" FROM table_39916 WHERE "Tries For" = '21' | SELECT "Points" FROM "table_39916" WHERE "Tries For" = '21' | 0.057617 |
CREATE TABLE table_204_951 (id DECIMAL, "candidate" TEXT, "votes" DECIMAL, "percentage" TEXT, "counties" DECIMAL, "delegates" DECIMAL)
| who received more votes , duncan hunter or alan keyes ? | SELECT "candidate" FROM table_204_951 WHERE "candidate" IN ('duncan hunter', 'alan keyes') ORDER BY "votes" DESC LIMIT 1 | SELECT "candidate" FROM "table_204_951" WHERE "candidate" IN ('duncan hunter', 'alan keyes') ORDER BY "votes" DESC NULLS LAST LIMIT 1 | 0.129883 |
CREATE TABLE endowment (endowment_id INT, School_id INT, donator_name TEXT, amount FLOAT)
CREATE TABLE School (School_id TEXT, School_name TEXT, Location TEXT, Mascot TEXT, Enrollment INT, IHSAA_Class TEXT, IHSAA_Football_Class TEXT, County TEXT)
CREATE TABLE budget (School_id INT, Year INT, Budgeted INT, total_budget_percent_budgeted FLOAT, Invested INT, total_budget_percent_invested FLOAT, Budget_invested_percent TEXT)
| Show sum enrollment from each county, sort y-axis from low to high order. | SELECT County, SUM(Enrollment) FROM School GROUP BY County ORDER BY SUM(Enrollment) | SELECT "County", SUM("Enrollment") FROM "School" GROUP BY "County" ORDER BY SUM("Enrollment") NULLS FIRST | 0.102539 |
CREATE TABLE table_18953 ("Ep. No." FLOAT, "Title" TEXT, "Director" TEXT, "Written by" TEXT, "Original Air Date" TEXT, "Production No." FLOAT)
| Who wrote the episode called 'mercury falling'? | SELECT "Written by" FROM table_18953 WHERE "Title" = 'Mercury Falling' | SELECT "Written by" FROM "table_18953" WHERE "Title" = 'Mercury Falling' | 0.070313 |
CREATE TABLE table_2724704_5 (studio_analyst_s_ VARCHAR, network_s_ VARCHAR, sideline_reporter_s_ VARCHAR)
| Name the studio analysts for espn with erin andrews and tom rinaldi | SELECT studio_analyst_s_ FROM table_2724704_5 WHERE network_s_ = "ESPN" AND sideline_reporter_s_ = "Erin Andrews and Tom Rinaldi" | SELECT "studio_analyst_s_" FROM "table_2724704_5" WHERE "ESPN" = "network_s_" AND "Erin Andrews and Tom Rinaldi" = "sideline_reporter_s_" | 0.133789 |
CREATE TABLE table_name_18 (away_team VARCHAR, ground VARCHAR)
| Who was the away team at the Football Park match? | SELECT away_team FROM table_name_18 WHERE ground = "football park" | SELECT "away_team" FROM "table_name_18" WHERE "football park" = "ground" | 0.070313 |
CREATE TABLE table_name_92 (opponent VARCHAR, date VARCHAR)
| Which Opponent has a Date of september 20, 1992? | SELECT opponent FROM table_name_92 WHERE date = "september 20, 1992" | SELECT "opponent" FROM "table_name_92" WHERE "date" = "september 20, 1992" | 0.072266 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients whose item id is 51256. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51256" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51256" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.149414 |
CREATE TABLE shipment_items (shipment_id DECIMAL, order_item_id DECIMAL)
CREATE TABLE invoices (invoice_number DECIMAL, invoice_date TIME, invoice_details TEXT)
CREATE TABLE shipments (shipment_id DECIMAL, order_id DECIMAL, invoice_number DECIMAL, shipment_tracking_number TEXT, shipment_date TIME, other_shipment_details TEXT)
CREATE TABLE products (product_id DECIMAL, product_name TEXT, product_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, product_id DECIMAL, order_id DECIMAL, order_item_status TEXT, order_item_details TEXT)
CREATE TABLE orders (order_id DECIMAL, customer_id DECIMAL, order_status TEXT, date_order_placed TIME, order_details TEXT)
CREATE TABLE customers (customer_id DECIMAL, customer_name TEXT, customer_details TEXT)
| Which customers made orders between 2009-01-01 and 2010-01-01? Find their names. | SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.date_order_placed >= "2009-01-01" AND T2.date_order_placed <= "2010-01-01" | SELECT "T1"."customer_name" FROM "customers" AS "T1" JOIN "orders" AS "T2" ON "2009-01-01" <= "T2"."date_order_placed" AND "2010-01-01" >= "T2"."date_order_placed" AND "T1"."customer_id" = "T2"."customer_id" | 0.202148 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the sum of manufacturer , and group by attribute headquarter, and display Headquarter from high to low order please. | SELECT Headquarter, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY Headquarter DESC | SELECT "Headquarter", SUM("Manufacturer") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY "Headquarter" DESC NULLS LAST | 0.188477 |
CREATE TABLE table_53360 ("City" TEXT, "Country" TEXT, "Airport" TEXT, "IATA" TEXT, "ICAO" TEXT)
| Name the IATA for jessore | SELECT "IATA" FROM table_53360 WHERE "City" = 'jessore' | SELECT "IATA" FROM "table_53360" WHERE "City" = 'jessore' | 0.055664 |
CREATE TABLE table_1341865_44 (party VARCHAR, district VARCHAR)
| what's party with district being tennessee 3 | SELECT party FROM table_1341865_44 WHERE district = "Tennessee 3" | SELECT "party" FROM "table_1341865_44" WHERE "Tennessee 3" = "district" | 0.069336 |
CREATE TABLE table_19814 ("Software" TEXT, "Version" TEXT, "Operating systems" TEXT, "Developer" TEXT, "License" TEXT)
| What are all the operating systems for sbagen? | SELECT "Operating systems" FROM table_19814 WHERE "Software" = 'SBaGen' | SELECT "Operating systems" FROM "table_19814" WHERE "Software" = 'SBaGen' | 0.071289 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many newborn patients had the diagnosis long title hyperpotassemia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "NEWBORN" AND diagnoses.long_title = "Hyperpotassemia" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hyperpotassemia" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type" | 0.228516 |
CREATE TABLE table_27700375_8 (record VARCHAR, high_assists VARCHAR)
| How many record data were written when Devin Harris (6) was High Assists? | SELECT COUNT(record) FROM table_27700375_8 WHERE high_assists = "Devin Harris (6)" | SELECT COUNT("record") FROM "table_27700375_8" WHERE "Devin Harris (6)" = "high_assists" | 0.085938 |
CREATE TABLE table_59388 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| What place had a score of 67-67=134? | SELECT "Place" FROM table_59388 WHERE "Score" = '67-67=134' | SELECT "Place" FROM "table_59388" WHERE "Score" = '67-67=134' | 0.05957 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose days of hospital stay is greater than 3 and drug type is main? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "3" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "3" < "demographic"."days_stay" | 0.217773 |
CREATE TABLE table_66075 ("Period" TEXT, "Internet Explorer" TEXT, "Firefox" TEXT, "Chrome" TEXT, "Safari" TEXT, "Opera" TEXT, "Other Mozilla" TEXT, "Mobile" TEXT)
| What percentage of users were using Internet Explorer during the period in which 2.1% were using mobile browsers? | SELECT "Internet Explorer" FROM table_66075 WHERE "Mobile" = '2.1%' | SELECT "Internet Explorer" FROM "table_66075" WHERE "Mobile" = '2.1%' | 0.067383 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients with hematology lab test category who were diagnosed with disruption of external operation (surgical) wound. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Disrup-external op wound" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Disrup-external op wound" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.280273 |
CREATE TABLE table_75122 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| What club had 56 points? | SELECT "Club" FROM table_75122 WHERE "Points" = '56' | SELECT "Club" FROM "table_75122" WHERE "Points" = '56' | 0.052734 |
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