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CREATE TABLE table_19643196_1 (year VARCHAR, transmission VARCHAR, engine VARCHAR)
| Which year had a transmission of Voith D863.4 and a Cummins ISM engine? | SELECT year FROM table_19643196_1 WHERE transmission = "Voith D863.4" AND engine = "Cummins ISM" | SELECT "year" FROM "table_19643196_1" WHERE "Cummins ISM" = "engine" AND "Voith D863.4" = "transmission" | 0.101563 |
CREATE TABLE table_name_77 (losses VARCHAR, against VARCHAR, draws VARCHAR)
| How many total losses does the team have with an against of 2195 and the draws were greater than 0? | SELECT COUNT(losses) FROM table_name_77 WHERE against = 2195 AND draws > 0 | SELECT COUNT("losses") FROM "table_name_77" WHERE "against" = 2195 AND "draws" > 0 | 0.080078 |
CREATE TABLE table_7030 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the sum of Bronze when the rank is 7, and the total is more than 22? | SELECT SUM("Bronze") FROM table_7030 WHERE "Rank" = '7' AND "Total" > '22' | SELECT SUM("Bronze") FROM "table_7030" WHERE "Rank" = '7' AND "Total" > '22' | 0.074219 |
CREATE TABLE table_name_40 (drobo__2nd_ VARCHAR, drobo_fs VARCHAR)
| Which Drobo (2nd) has a Drobo FS of up to 32? | SELECT drobo__2nd_ FROM table_name_40 WHERE drobo_fs = "up to 32" | SELECT "drobo__2nd_" FROM "table_name_40" WHERE "drobo_fs" = "up to 32" | 0.069336 |
CREATE TABLE table_name_21 (attendance INT, date VARCHAR, week VARCHAR)
| Name the most attendance for november 17, 1946 and week more than 8 | SELECT MAX(attendance) FROM table_name_21 WHERE date = "november 17, 1946" AND week > 8 | SELECT MAX("attendance") FROM "table_name_21" WHERE "date" = "november 17, 1946" AND "week" > 8 | 0.092773 |
CREATE TABLE table_12771 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| How much Goal Difference has less than 9 Losses, and 8 Draws, and more than 40 points? | SELECT SUM("Goal Difference") FROM table_12771 WHERE "Losses" < '9' AND "Draws" = '8' AND "Points" > '40' | SELECT SUM("Goal Difference") FROM "table_12771" WHERE "Draws" = '8' AND "Losses" < '9' AND "Points" > '40' | 0.104492 |
CREATE TABLE table_66889 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average silver for a rank less than 8, were there were no more than 4 bronze and 12 in total? | SELECT AVG("Silver") FROM table_66889 WHERE "Rank" < '8' AND "Total" = '12' AND "Bronze" < '4' | SELECT AVG("Silver") FROM "table_66889" WHERE "Bronze" < '4' AND "Rank" < '8' AND "Total" = '12' | 0.09375 |
CREATE TABLE table_77240 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| What championship after 1997 was the score 1 6, 4 6, 7 5, 5 7? | SELECT "Championship" FROM table_77240 WHERE "Year" > '1997' AND "Score" = '1–6, 4–6, 7–5, 5–7' | SELECT "Championship" FROM "table_77240" WHERE "Score" = '1–6, 4–6, 7–5, 5–7' AND "Year" > '1997' | 0.094727 |
CREATE TABLE table_6492 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" TEXT)
| Which Tie # has a Score of 3 0, and a Home team of bristol rovers? | SELECT "Tie no" FROM table_6492 WHERE "Score" = '3–0' AND "Home team" = 'bristol rovers' | SELECT "Tie no" FROM "table_6492" WHERE "Home team" = 'bristol rovers' AND "Score" = '3–0' | 0.087891 |
CREATE TABLE table_45718 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| Which Week has a Result of w 20-13? | SELECT AVG("Week") FROM table_45718 WHERE "Result" = 'w 20-13' | SELECT AVG("Week") FROM "table_45718" WHERE "Result" = 'w 20-13' | 0.0625 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| when was the first time patient 022-158213 has been diagnosed with diabetes mellitus the last year? | SELECT diagnosis.diagnosistime FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-158213')) AND diagnosis.diagnosisname = 'diabetes mellitus' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY diagnosis.diagnosistime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-158213' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "diagnosis"."diagnosistime" FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'diabetes mellitus' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" NULLS FIRST LIMIT 1 | 0.719727 |
CREATE TABLE table_47078 ("Name" TEXT, "Class" TEXT, "Navy" TEXT, "Date joined" TEXT, "Date departed" TEXT)
| What's the departed date for Grimsby Class Sloop? | SELECT "Date departed" FROM table_47078 WHERE "Class" = 'grimsby class sloop' | SELECT "Date departed" FROM "table_47078" WHERE "Class" = 'grimsby class sloop' | 0.077148 |
CREATE TABLE table_59687 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " FLOAT)
| What did United States place when the score was 71-70-72-68=281? | SELECT "Place" FROM table_59687 WHERE "Country" = 'united states' AND "Score" = '71-70-72-68=281' | SELECT "Place" FROM "table_59687" WHERE "Country" = 'united states' AND "Score" = '71-70-72-68=281' | 0.09668 |
CREATE TABLE table_name_92 (score VARCHAR, player VARCHAR)
| What is the Score when the Player is toru taniguchi? | SELECT score FROM table_name_92 WHERE player = "toru taniguchi" | SELECT "score" FROM "table_name_92" WHERE "player" = "toru taniguchi" | 0.067383 |
CREATE TABLE station (id DECIMAL, name TEXT, lat DECIMAL, long DECIMAL, dock_count DECIMAL, city TEXT, installation_date TEXT)
CREATE TABLE status (station_id DECIMAL, bikes_available DECIMAL, docks_available DECIMAL, time TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f DECIMAL, mean_temperature_f DECIMAL, min_temperature_f DECIMAL, max_dew_point_f DECIMAL, mean_dew_point_f DECIMAL, min_dew_point_f DECIMAL, max_humidity DECIMAL, mean_humidity DECIMAL, min_humidity DECIMAL, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles DECIMAL, mean_visibility_miles DECIMAL, min_visibility_miles DECIMAL, max_wind_speed_mph DECIMAL, mean_wind_speed_mph DECIMAL, max_gust_speed_mph DECIMAL, precipitation_inches DECIMAL, cloud_cover DECIMAL, events TEXT, wind_dir_degrees DECIMAL, zip_code DECIMAL)
CREATE TABLE trip (id DECIMAL, duration DECIMAL, start_date TEXT, start_station_name TEXT, start_station_id DECIMAL, end_date TEXT, end_station_name TEXT, end_station_id DECIMAL, bike_id DECIMAL, subscription_type TEXT, zip_code DECIMAL)
| When and in what zip code did max temperature reach 80? | SELECT date, zip_code FROM weather WHERE max_temperature_f >= 80 | SELECT "date", "zip_code" FROM "weather" WHERE "max_temperature_f" >= 80 | 0.070313 |
CREATE TABLE table_test_29 ("id" INT, "bleeding" INT, "left_ventricular_ejection_fraction_lvef" INT, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "trauma" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "hemorrhagic_stroke" BOOLEAN, "platelet_count" FLOAT, "surgery" BOOLEAN, "thrombocytopenia" FLOAT, "liver_disease" BOOLEAN, "oral_anticoagulant_therapy" BOOLEAN, "heart_rate" INT, "kidney_disease" BOOLEAN, "inr" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| acute liver failure | SELECT * FROM table_test_29 WHERE liver_disease = 1 | SELECT * FROM "table_test_29" WHERE "liver_disease" = 1 | 0.053711 |
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)
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)
| what is the number of patients diagnosed with blood in stool self-discharged against medical advice? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND diagnoses.short_title = "Blood in stool" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Blood in stool" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "LEFT AGAINST MEDICAL ADVI" = "demographic"."discharge_location" | 0.25 |
CREATE TABLE table_204_56 (id DECIMAL, "year" DECIMAL, "song" TEXT, "us r&b" DECIMAL, "us rap" DECIMAL, "album" TEXT)
| songs by del the funky homosapien that were within the top 30 rap singles chart -lrb- us -rrb- | SELECT "song" FROM table_204_56 WHERE "us rap" <= 30 | SELECT "song" FROM "table_204_56" WHERE "us rap" <= 30 | 0.052734 |
CREATE TABLE Transactions (transaction_id INT, investor_id INT, transaction_type_code VARCHAR, date_of_transaction DATETIME, amount_of_transaction DECIMAL, share_count VARCHAR, other_details VARCHAR)
CREATE TABLE Investors (investor_id INT, Investor_details VARCHAR)
CREATE TABLE Transactions_Lots (transaction_id INT, lot_id INT)
CREATE TABLE Purchases (purchase_transaction_id INT, purchase_details VARCHAR)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR, transaction_type_description VARCHAR)
CREATE TABLE Sales (sales_transaction_id INT, sales_details VARCHAR)
CREATE TABLE Lots (lot_id INT, investor_id INT, lot_details VARCHAR)
| A pie chart for what are the number of the purchase details of transactions with amount bigger than 10000? | SELECT purchase_details, COUNT(purchase_details) FROM Purchases AS T1 JOIN Transactions AS T2 ON T1.purchase_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction > 10000 GROUP BY purchase_details | SELECT "purchase_details", COUNT("purchase_details") FROM "Purchases" AS "T1" JOIN "Transactions" AS "T2" ON "T1"."purchase_transaction_id" = "T2"."transaction_id" AND "T2"."amount_of_transaction" > 10000 GROUP BY "purchase_details" | 0.226563 |
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_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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| tell me patient 5561's first rdw value until 11/2105? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5561) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'rdw') AND STRFTIME('%y-%m', labevents.charttime) <= '2105-11' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5561 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'rdw' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") <= '2105-11' ORDER BY "labevents"."charttime" NULLS FIRST LIMIT 1 | 0.5625 |
CREATE TABLE table_name_43 (san_jose_wins VARCHAR, la_goals VARCHAR, la_wins VARCHAR)
| How many San Jose wins have an LA goals larger than 6, and an LA wins smaller than 21? | SELECT COUNT(san_jose_wins) FROM table_name_43 WHERE la_goals > 6 AND la_wins < 21 | SELECT COUNT("san_jose_wins") FROM "table_name_43" WHERE "la_goals" > 6 AND "la_wins" < 21 | 0.087891 |
CREATE TABLE table_23057 ("Series #" FLOAT, "Episode #" FLOAT, "Title" TEXT, "Written by" TEXT, "Directed by" TEXT, "Viewers" FLOAT, "Original airdate" TEXT)
| What is the series number for the episode written by Kristen Dunphy and David Ogilvy? | SELECT MAX("Series #") FROM table_23057 WHERE "Written by" = 'Kristen Dunphy and David Ogilvy' | SELECT MAX("Series #") FROM "table_23057" WHERE "Written by" = 'Kristen Dunphy and David Ogilvy' | 0.09375 |
CREATE TABLE party (Party_ID INT, Party_Theme TEXT, Location TEXT, First_year TEXT, Last_year TEXT, Number_of_hosts INT)
CREATE TABLE party_host (Party_ID INT, Host_ID INT, Is_Main_in_Charge BOOLEAN)
CREATE TABLE host (Host_ID INT, Name TEXT, Nationality TEXT, Age TEXT)
| Show the total number of the first year of parties with the theme 'Spring' or 'Teqnology' with a bar chart, bin the first year into weekday interval and count the first year, rank by the Y in descending please. | SELECT First_year, COUNT(First_year) FROM party WHERE Party_Theme = "Spring" OR Party_Theme = "Teqnology" ORDER BY COUNT(First_year) DESC | SELECT "First_year", COUNT("First_year") FROM "party" WHERE "Party_Theme" = "Spring" OR "Party_Theme" = "Teqnology" ORDER BY COUNT("First_year") DESC NULLS LAST | 0.15625 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
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 PostTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (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 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 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
| Query 1- Viewcount between 1 lac and 5 lac. | SELECT COUNT(*) FROM Posts WHERE Posts.ViewCount > 100000 AND Posts.ViewCount < 500000 | SELECT COUNT(*) FROM "Posts" WHERE "Posts"."ViewCount" < 500000 AND "Posts"."ViewCount" > 100000 | 0.09375 |
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 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose admission location is transfer from hosp/extram and procedure long title is spinal tap? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.long_title = "Spinal tap" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Spinal tap" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.248047 |
CREATE TABLE table_13811 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| What player has a To par of 2, and a Score of 73-65=138? | SELECT "Player" FROM table_13811 WHERE "To par" = '–2' AND "Score" = '73-65=138' | SELECT "Player" FROM "table_13811" WHERE "Score" = '73-65=138' AND "To par" = '–2' | 0.080078 |
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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (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 CloseReasonTypes (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 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)
| Top 100 Users by Badge Count. | SELECT Badges.UserId AS "user_link", Users.Reputation, COUNT(*) AS BadgeCount FROM Badges INNER JOIN Users ON Badges.UserId = Users.Id GROUP BY Badges.UserId, Users.Reputation ORDER BY BadgeCount DESC LIMIT 100 | SELECT "Badges"."UserId" AS "user_link", "Users"."Reputation", COUNT(*) AS "BadgeCount" FROM "Badges" JOIN "Users" ON "Badges"."UserId" = "Users"."Id" GROUP BY "Badges"."UserId", "Users"."Reputation" ORDER BY "BadgeCount" DESC NULLS LAST LIMIT 100 | 0.241211 |
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 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)
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)
| what is the diagnosis and procedure for the patient id 42963? | SELECT diagnoses.short_title, procedures.short_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "42963" | SELECT "diagnoses"."short_title", "procedures"."short_title" FROM "diagnoses" JOIN "procedures" ON "diagnoses"."hadm_id" = "procedures"."hadm_id" WHERE "42963" = "diagnoses"."subject_id" | 0.181641 |
CREATE TABLE table_203_551 (id DECIMAL, "goal" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
| when did d m szalai make his first international goal ? | SELECT "date" FROM table_203_551 ORDER BY "date" LIMIT 1 | SELECT "date" FROM "table_203_551" ORDER BY "date" NULLS FIRST LIMIT 1 | 0.068359 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid 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 insurance is private and procedure long title is continuous intra-arterial blood gas monitoring? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Continuous intra-arterial blood gas monitoring" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Continuous intra-arterial blood gas monitoring" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.256836 |
CREATE TABLE table_54641 ("Year" FLOAT, "Competition" TEXT, "Venue" TEXT, "Position" TEXT, "Event" TEXT, "Notes" TEXT)
| What is the total year with a Position of 12th? | SELECT SUM("Year") FROM table_54641 WHERE "Position" = '12th' | SELECT SUM("Year") FROM "table_54641" WHERE "Position" = '12th' | 0.061523 |
CREATE TABLE table_31172 ("Year" FLOAT, "Tournaments played" FLOAT, "Cuts made" FLOAT, "Wins" FLOAT, "2nd" FLOAT, "3rd" FLOAT, "Top 10s" FLOAT, "Best finish" TEXT, "Earnings ( \\u20ac ) " TEXT, "Money list rank" TEXT, "Scoring average" TEXT, "Scoring rank" TEXT, "Rolex ranking" FLOAT)
| In what year were Reid's earnings 4,050 1? | SELECT MIN("Year") FROM table_31172 WHERE "Earnings ( \u20ac )" = '4,050 1' | SELECT MIN("Year") FROM "table_31172" WHERE "Earnings ( \u20ac )" = '4,050 1' | 0.075195 |
CREATE TABLE table_name_91 (manufacturer VARCHAR, grid VARCHAR)
| Who manufactured grid 11? | SELECT manufacturer FROM table_name_91 WHERE grid = 11 | SELECT "manufacturer" FROM "table_name_91" WHERE "grid" = 11 | 0.058594 |
CREATE TABLE table_46048 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Grizzlies" TEXT, "School/Club Team" TEXT)
| In which years did Zach Randolph play for the Grizzlies? | SELECT "Years for Grizzlies" FROM table_46048 WHERE "Player" = 'zach randolph' | SELECT "Years for Grizzlies" FROM "table_46048" WHERE "Player" = 'zach randolph' | 0.078125 |
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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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)
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| i would like to know the yearly average sao2 of patient 007-16517 since 1 month ago. | SELECT AVG(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-16517')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-1 month') GROUP BY STRFTIME('%y', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-16517' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("vitalperiodic"."sao2") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL GROUP BY STRFTIME('%y', "vitalperiodic"."observationtime") | 0.688477 |
CREATE TABLE table_name_37 (year INT, fighter VARCHAR)
| When did Manny Pacquiao win his first championship? | SELECT MIN(year) FROM table_name_37 WHERE fighter = "manny pacquiao" | SELECT MIN("year") FROM "table_name_37" WHERE "fighter" = "manny pacquiao" | 0.072266 |
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Staff_Department_Assignments (staff_id INT, department_id INT, date_assigned_from DATETIME, job_title_code VARCHAR, date_assigned_to DATETIME)
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, order_date DATETIME)
CREATE TABLE Product_Suppliers (product_id INT, supplier_id INT, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR, total_value_purchased DECIMAL)
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Addresses (address_id INT, address_details VARCHAR)
CREATE TABLE Departments (department_id INT, dept_store_id INT, department_name VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT)
CREATE TABLE Supplier_Addresses (supplier_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id INT, product_type_code VARCHAR, product_name VARCHAR, product_price DECIMAL)
CREATE TABLE Department_Store_Chain (dept_store_chain_id INT, dept_store_chain_name VARCHAR)
CREATE TABLE Customers (customer_id INT, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARCHAR)
| Return a bar chart on how many customers use each payment method?, and could you sort in asc by the Y-axis? | SELECT payment_method_code, COUNT(*) FROM Customers GROUP BY payment_method_code ORDER BY COUNT(*) | SELECT "payment_method_code", COUNT(*) FROM "Customers" GROUP BY "payment_method_code" ORDER BY COUNT(*) NULLS FIRST | 0.113281 |
CREATE TABLE table_name_13 (venue VARCHAR, date VARCHAR)
| What was the venue on October 16, 1996? | SELECT venue FROM table_name_13 WHERE date = "october 16, 1996" | SELECT "venue" FROM "table_name_13" WHERE "date" = "october 16, 1996" | 0.067383 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 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 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| what is the difference in mchc value in patient 005-87465 second measured on the current hospital visit compared to the first value measured on the current hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'mchc' ORDER BY lab.labresulttime LIMIT 1 OFFSET 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'mchc' ORDER BY lab.labresulttime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '005-87465' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mchc' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" AS "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mchc' AND NOT "_u_4"."" IS NULL ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1) | 1.026367 |
CREATE TABLE table_name_63 (name VARCHAR, west_or_south_terminus VARCHAR)
| what is the name when the west or south terminus is ne 112 west of blue springs? | SELECT name FROM table_name_63 WHERE west_or_south_terminus = "ne 112 west of blue springs" | SELECT "name" FROM "table_name_63" WHERE "ne 112 west of blue springs" = "west_or_south_terminus" | 0.094727 |
CREATE TABLE table_14962316_9 (recopa_sudamericana_1998 VARCHAR, team VARCHAR)
| Did Flamengo play in the Recopa Sudamericana in 1998 | SELECT recopa_sudamericana_1998 FROM table_14962316_9 WHERE team = "Flamengo" | SELECT "recopa_sudamericana_1998" FROM "table_14962316_9" WHERE "Flamengo" = "team" | 0.081055 |
CREATE TABLE table_name_65 (college VARCHAR, overall VARCHAR)
| Name the college with overall of 17 | SELECT college FROM table_name_65 WHERE overall = 17 | SELECT "college" FROM "table_name_65" WHERE "overall" = 17 | 0.056641 |
CREATE TABLE table_67798 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| On what date was there a draw at Sydney Cricket Ground? | SELECT "Date" FROM table_67798 WHERE "Result" = 'draw' AND "Venue" = 'sydney cricket ground' | SELECT "Date" FROM "table_67798" WHERE "Result" = 'draw' AND "Venue" = 'sydney cricket ground' | 0.091797 |
CREATE TABLE injury_accident (game_id INT, id INT, Player TEXT, Injury TEXT, Number_of_matches TEXT, Source TEXT)
CREATE TABLE stadium (id INT, name TEXT, Home_Games INT, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE game (stadium_id INT, id INT, Season INT, Date TEXT, Home_team TEXT, Away_team TEXT, Score TEXT, Competition TEXT)
| Give me line charts of worldwide gross the number of season over year season by major genres Away_team, I want to display X in descending order please. | SELECT Season, COUNT(Season) FROM game GROUP BY Away_team, Season ORDER BY Season DESC | SELECT "Season", COUNT("Season") FROM "game" GROUP BY "Away_team", "Season" ORDER BY "Season" DESC NULLS LAST | 0.106445 |
CREATE TABLE table_16441561_5 (position VARCHAR, college VARCHAR)
| Which positions had players from Laval college | SELECT position FROM table_16441561_5 WHERE college = "Laval" | SELECT "position" FROM "table_16441561_5" WHERE "Laval" = "college" | 0.06543 |
CREATE TABLE table_57271 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| When was victoria park used as a venue? | SELECT "Date" FROM table_57271 WHERE "Venue" = 'victoria park' | SELECT "Date" FROM "table_57271" WHERE "Venue" = 'victoria park' | 0.0625 |
CREATE TABLE table_15670 ("Film" TEXT, "Director ( s ) " TEXT, "Producer ( s ) " TEXT, "Recipient" TEXT, "Date" TEXT, "Award" TEXT)
| What is the name of the film with an award of 5,380? | SELECT "Film" FROM table_15670 WHERE "Award" = '£5,380' | SELECT "Film" FROM "table_15670" WHERE "Award" = '£5,380' | 0.055664 |
CREATE TABLE product (product_id INT, product TEXT, dimensions TEXT, dpi FLOAT, pages_per_minute_color FLOAT, max_page_size TEXT, interface TEXT)
CREATE TABLE store_product (Store_ID INT, Product_ID INT)
CREATE TABLE store_district (Store_ID INT, District_ID INT)
CREATE TABLE store (Store_ID INT, Store_Name TEXT, Type TEXT, Area_size FLOAT, Number_of_product_category FLOAT, Ranking INT)
CREATE TABLE district (District_ID INT, District_name TEXT, Headquartered_City TEXT, City_Population FLOAT, City_Area FLOAT)
| How many stores are headquarted in each city Plot them as bar chart, and list in asc by the total number. | SELECT Headquartered_City, COUNT(*) FROM store AS t1 JOIN store_district AS t2 ON t1.Store_ID = t2.Store_ID JOIN district AS t3 ON t2.District_ID = t3.District_ID GROUP BY t3.Headquartered_City ORDER BY COUNT(*) | SELECT "Headquartered_City", COUNT(*) FROM "store" AS "t1" JOIN "store_district" AS "t2" ON "t1"."Store_ID" = "t2"."Store_ID" JOIN "district" AS "t3" ON "t2"."District_ID" = "t3"."District_ID" GROUP BY "t3"."Headquartered_City" ORDER BY COUNT(*) NULLS FIRST | 0.250977 |
CREATE TABLE table_66861 ("Player" TEXT, "Years" TEXT, "Goals" FLOAT, "Assists" FLOAT, "Points" FLOAT)
| What is the largest number of goals with less than 101 assists and 172 points? | SELECT MAX("Goals") FROM table_66861 WHERE "Assists" < '101' AND "Points" < '172' | SELECT MAX("Goals") FROM "table_66861" WHERE "Assists" < '101' AND "Points" < '172' | 0.081055 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| how much is the maximum hospital bill that involves a acetaminophen lab test until 1 year ago? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'acetaminophen')) AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "lab"."patientunitstayid" FROM "lab" WHERE "lab"."labname" = 'acetaminophen' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MAX("t1"."c1") FROM "t1" AS "t1" | 0.642578 |
CREATE TABLE table_20118 ("Pos." FLOAT, "Driver" TEXT, "Qualifying" FLOAT, "Race 1" TEXT, "Race 2" TEXT, "Race 3" TEXT, "Points" FLOAT)
| Name the total number of positions for race 1 being 2 | SELECT COUNT("Pos.") FROM table_20118 WHERE "Race 1" = '2' | SELECT COUNT("Pos.") FROM "table_20118" WHERE "Race 1" = '2' | 0.058594 |
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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
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 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 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
| People with Jesus in their about me section. Yeah, what the name says | SELECT Id AS "user_link", Location, Reputation FROM Users WHERE AboutMe LIKE '%jesus%' OR AboutMe LIKE '%Jesus%' ORDER BY Reputation DESC | SELECT "Id" AS "user_link", "Location", "Reputation" FROM "Users" WHERE "AboutMe" LIKE '%Jesus%' OR "AboutMe" LIKE '%jesus%' ORDER BY "Reputation" DESC NULLS LAST | 0.158203 |
CREATE TABLE table_66118 ("School" TEXT, "Location" TEXT, "Mascot" TEXT, "# / County" TEXT, "Enrollment" FLOAT, "IHSAA Class / Football/Soccer" TEXT, "Year Joined" FLOAT, "Previous Conference" TEXT)
| Which #/ County has a Year Joined larger than 1926, and a Previous Conference of olympic? | SELECT "# / County" FROM table_66118 WHERE "Year Joined" > '1926' AND "Previous Conference" = 'olympic' | SELECT "# / County" FROM "table_66118" WHERE "Previous Conference" = 'olympic' AND "Year Joined" > '1926' | 0.102539 |
CREATE TABLE table_4127 ("Pick" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| Which nhl team has the player kevin mckay? | SELECT "NHL team" FROM table_4127 WHERE "Player" = 'Kevin McKay' | SELECT "NHL team" FROM "table_4127" WHERE "Player" = 'Kevin McKay' | 0.064453 |
CREATE TABLE table_204_686 (id DECIMAL, "date" TEXT, "pos." TEXT, "name" TEXT, "from" TEXT, "fee" TEXT)
| who 's fee was higher between steven davis and chris baird ? | SELECT "name" FROM table_204_686 WHERE "name" IN ('steven davis', 'chris baird') ORDER BY "fee" DESC LIMIT 1 | SELECT "name" FROM "table_204_686" WHERE "name" IN ('steven davis', 'chris baird') ORDER BY "fee" DESC NULLS LAST LIMIT 1 | 0.118164 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| since 12/2105 patient 004-86136 had been prescribed sodium chloride 0.9 % iv : 500 ml? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-86136')) AND medication.drugname = 'sodium chloride 0.9 % iv : 500 ml' AND STRFTIME('%y-%m', medication.drugstarttime) >= '2105-12' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-86136' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'sodium chloride 0.9 % iv : 500 ml' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") >= '2105-12' | 0.614258 |
CREATE TABLE table_41630 ("Rank" FLOAT, "Location" TEXT, "Total Passengers" FLOAT, "Annual change" TEXT, "Capacity in use" TEXT)
| What is the average rank of the airport in S o Paulo with passengers totaling less than 18,795,596? | SELECT AVG("Rank") FROM table_41630 WHERE "Location" = 'são paulo' AND "Total Passengers" < '18,795,596' | SELECT AVG("Rank") FROM "table_41630" WHERE "Location" = 'são paulo' AND "Total Passengers" < '18,795,596' | 0.103516 |
CREATE TABLE table_name_56 (package_option VARCHAR, television_service VARCHAR, content VARCHAR, hdtv VARCHAR)
| What package/option has documentaries as the content, yes as the HDTV, and a television service of history hd? | SELECT package_option FROM table_name_56 WHERE content = "documentaries" AND hdtv = "yes" AND television_service = "history hd" | SELECT "package_option" FROM "table_name_56" WHERE "content" = "documentaries" AND "hdtv" = "yes" AND "history hd" = "television_service" | 0.133789 |
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)
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 the number of patients who have diagnoses icd9 code 2875? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "2875" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2875" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.168945 |
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 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 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 diagnoses short title is ac/chr syst/dia hrt fail and drug route is id? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Ac/chr syst/dia hrt fail" AND prescriptions.route = "ID" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ac/chr syst/dia hrt fail" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ID" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE table_name_88 (stroke_count INT, radical__variants_ VARCHAR, frequency VARCHAR)
| WHAT IS THE STROKE COUNT WITH RADICAL FREQUENCY SMALLER THAN 129? | SELECT AVG(stroke_count) FROM table_name_88 WHERE radical__variants_ = "皿" AND frequency < 129 | SELECT AVG("stroke_count") FROM "table_name_88" WHERE "frequency" < 129 AND "radical__variants_" = "皿" | 0.099609 |
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)
| how many patients are with single marital status and admitted before the year 2184? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admityear < "2184" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2184" > "demographic"."admityear" AND "SINGLE" = "demographic"."marital_status" | 0.151367 |
CREATE TABLE table_name_15 (start VARCHAR, rank VARCHAR, laps VARCHAR)
| What was the start result with a Rank of 7 and more than 100 laps? | SELECT start FROM table_name_15 WHERE rank = "7" AND laps > 100 | SELECT "start" FROM "table_name_15" WHERE "7" = "rank" AND "laps" > 100 | 0.069336 |
CREATE TABLE table_name_14 (type VARCHAR, year INT)
| What was the type after 2004? | SELECT type FROM table_name_14 WHERE year > 2004 | SELECT "type" FROM "table_name_14" WHERE "year" > 2004 | 0.052734 |
CREATE TABLE table_69485 ("Clubs" TEXT, "Winners" FLOAT, "Runners-up" FLOAT, "Total finals" FLOAT, "Winnig years" TEXT)
| What is the highest total number of finals a club with more than 2 runners-up and fewer than 1 winner went to? | SELECT MAX("Total finals") FROM table_69485 WHERE "Runners-up" > '2' AND "Winners" < '1' | SELECT MAX("Total finals") FROM "table_69485" WHERE "Runners-up" > '2' AND "Winners" < '1' | 0.087891 |
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 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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| find out the age and preferred language for patient francis baseler. | SELECT demographic.age, demographic.language FROM demographic WHERE demographic.name = "Francis Baseler" | SELECT "demographic"."age", "demographic"."language" FROM "demographic" WHERE "Francis Baseler" = "demographic"."name" | 0.115234 |
CREATE TABLE table_54413 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| What is the highest pick number of the CFL's Toronto Argonauts? | SELECT MAX("Pick #") FROM table_54413 WHERE "CFL Team" = 'toronto argonauts' | SELECT MAX("Pick #") FROM "table_54413" WHERE "CFL Team" = 'toronto argonauts' | 0.076172 |
CREATE TABLE table_5129 ("Race" TEXT, "Length" TEXT, "Class" TEXT, "Circuit" TEXT, "Date" TEXT)
| What is the length of the race on August 15? | SELECT "Length" FROM table_5129 WHERE "Date" = 'august 15' | SELECT "Length" FROM "table_5129" WHERE "Date" = 'august 15' | 0.058594 |
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
| Bar chart x axis other account details y axis how many other account details, show bars from high to low order. | SELECT other_account_details, COUNT(other_account_details) FROM Accounts GROUP BY other_account_details ORDER BY other_account_details DESC | SELECT "other_account_details", COUNT("other_account_details") FROM "Accounts" GROUP BY "other_account_details" ORDER BY "other_account_details" DESC NULLS LAST | 0.15625 |
CREATE TABLE enroll (class_code TEXT, stu_num DECIMAL, enroll_grade TEXT)
CREATE TABLE student (stu_num DECIMAL, stu_lname TEXT, stu_fname TEXT, stu_init TEXT, stu_dob TIME, stu_hrs DECIMAL, stu_class TEXT, stu_gpa DECIMAL, stu_transfer DECIMAL, dept_code TEXT, stu_phone TEXT, prof_num DECIMAL)
CREATE TABLE course (crs_code TEXT, dept_code TEXT, crs_description TEXT, crs_credit DECIMAL)
CREATE TABLE department (dept_code TEXT, dept_name TEXT, school_code TEXT, emp_num DECIMAL, dept_address TEXT, dept_extension TEXT)
CREATE TABLE professor (emp_num DECIMAL, dept_code TEXT, prof_office TEXT, prof_extension TEXT, prof_high_degree TEXT)
CREATE TABLE class (class_code TEXT, crs_code TEXT, class_section TEXT, class_time TEXT, class_room TEXT, prof_num DECIMAL)
CREATE TABLE employee (emp_num DECIMAL, emp_lname TEXT, emp_fname TEXT, emp_initial TEXT, emp_jobcode TEXT, emp_hiredate TIME, emp_dob TIME)
| How many credits is the course that the student with the last name Smithson took, and what is its description? | SELECT T4.crs_description, T4.crs_credit FROM class AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T3.stu_num = T2.stu_num JOIN course AS T4 ON T4.crs_code = T1.crs_code WHERE T3.stu_lname = 'Smithson' | SELECT "T4"."crs_description", "T4"."crs_credit" FROM "class" AS "T1" JOIN "enroll" AS "T2" ON "T1"."class_code" = "T2"."class_code" JOIN "course" AS "T4" ON "T1"."crs_code" = "T4"."crs_code" JOIN "student" AS "T3" ON "T2"."stu_num" = "T3"."stu_num" AND "T3"."stu_lname" = 'Smithson' | 0.276367 |
CREATE TABLE table_204_624 (id DECIMAL, "school" TEXT, "team name" TEXT, "town" TEXT, "county" TEXT, "enrollment ( 2010-11 & 2011-12 ) " DECIMAL, "primary mshsaa class*" DECIMAL, "football class" DECIMAL)
| what is the number of football classes lafayette high school has ? | SELECT "football class" FROM table_204_624 WHERE "school" = 'lafayette high school' | SELECT "football class" FROM "table_204_624" WHERE "school" = 'lafayette high school' | 0.083008 |
CREATE TABLE Financial_Transactions (transaction_id INT, previous_transaction_id INT, account_id INT, card_id INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_last_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR, other_customer_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Customers_Cards (card_id INT, customer_id INT, card_type_code VARCHAR, card_number VARCHAR, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR)
| Show all card type codes and the number of cards in each type in a pie chart. | SELECT card_type_code, COUNT(*) FROM Customers_Cards GROUP BY card_type_code | SELECT "card_type_code", COUNT(*) FROM "Customers_Cards" GROUP BY "card_type_code" | 0.080078 |
CREATE TABLE table_47308 ("Rank" FLOAT, "Rank Forbes 2000" FLOAT, "Name" TEXT, "Headquarters" TEXT, "Revenue ( Bn.$ ) " FLOAT, "Profit ( Bn.$ ) " FLOAT, "Assets ( Bn.$ ) " FLOAT, "Market value ( Bn.$ ) " FLOAT, "Industry" TEXT)
| What is the sum of revenue for the banking industry with a Forbes 2000 rank under 53? | SELECT SUM("Revenue (Bn.$)") FROM table_47308 WHERE "Industry" = 'banking' AND "Rank Forbes 2000" < '53' | SELECT SUM("Revenue (Bn.$)") FROM "table_47308" WHERE "Industry" = 'banking' AND "Rank Forbes 2000" < '53' | 0.103516 |
CREATE TABLE table_27615445_1 (episode_air_date VARCHAR, audition_venue VARCHAR)
| List all episode air dates that auditioned at Nego Quirido Sambadrome? | SELECT episode_air_date FROM table_27615445_1 WHERE audition_venue = "Nego Quirido Sambadrome" | SELECT "episode_air_date" FROM "table_27615445_1" WHERE "Nego Quirido Sambadrome" = "audition_venue" | 0.097656 |
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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
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 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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)
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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
| Sandbox: # of Posts by Users Inactive for X Months. | SELECT 'https://codegolf.meta.stackexchange.com/a/' + CAST(P.Id AS VARCHAR) + '/43214|' + CAST(P.Score AS VARCHAR) FROM Posts AS P WHERE (LastActivityDate < DATEADD(mm, -'##Month##', GETDATE()) AND EXISTS(SELECT * FROM Users AS U WHERE LastAccessDate < DATEADD(mm, -'##Month##', GETDATE()) AND U.Id = P.OwnerUserId)) | WITH "_u_0" AS (SELECT ARRAY_AGG(DATEADD(MONTH, -'##Month##', GETDATE())) AS "_u_1", "U"."Id" AS "_u_2" FROM "Users" AS "U" GROUP BY "U"."Id") SELECT CONCAT(CONCAT(CONCAT('https://codegolf.meta.stackexchange.com/a/', CAST("P"."Id" AS VARCHAR)), '/43214|'), CAST("P"."Score" AS VARCHAR)) FROM "Posts" AS "P" LEFT JOIN "_u_0" AS "_u_0" ON "P"."OwnerUserId" = "_u_0"."_u_2" WHERE "LastActivityDate" < DATEADD(MONTH, -'##Month##', GETDATE()) AND NOT "_u_0"."_u_1" IS NULL AND ARRAY_ANY("_u_0"."_u_1", "_x" -> "LastAccessDate" < "_x") | 0.516602 |
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 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)
| what is drug code and drug route of drug name neutra-phos? | SELECT prescriptions.formulary_drug_cd, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Neutra-Phos" | SELECT "prescriptions"."formulary_drug_cd", "prescriptions"."route" FROM "prescriptions" WHERE "Neutra-Phos" = "prescriptions"."drug" | 0.129883 |
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
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 airline (airline_code VARCHAR, airline_name TEXT, note 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_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 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
| does DL fly from DENVER to PITTSBURGH | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'DL') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'DL' JOIN "airport_service" AS "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.601563 |
CREATE TABLE table_25454 ("Date" TEXT, "Location" TEXT, "Opponent" TEXT, "Terps Points" FLOAT, "Opp. Points" FLOAT, "Record" TEXT)
| What is the highest number of terps points in games where the opponent made 53 points? | SELECT MAX("Terps Points") FROM table_25454 WHERE "Opp. Points" = '53' | SELECT MAX("Terps Points") FROM "table_25454" WHERE "Opp. Points" = '53' | 0.070313 |
CREATE TABLE table_21790203_1 (year__ceremony_ VARCHAR, language_s_ VARCHAR)
| Name the year for japanese | SELECT year__ceremony_ FROM table_21790203_1 WHERE language_s_ = "Japanese" | SELECT "year__ceremony_" FROM "table_21790203_1" WHERE "Japanese" = "language_s_" | 0.079102 |
CREATE TABLE table_20631 ("#" FLOAT, "Date" TEXT, "at/vs." TEXT, "Opponent" TEXT, "Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Name the most attendance | SELECT MAX("Attendance") FROM table_20631 | SELECT MAX("Attendance") FROM "table_20631" | 0.041992 |
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
| Give the proportion of what are total transaction amounts for each transaction type? | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type | SELECT "transaction_type", SUM("transaction_amount") FROM "Financial_Transactions" GROUP BY "transaction_type" | 0.107422 |
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR, address_type_description VARCHAR)
CREATE TABLE Students_in_Detention (student_id INT, detention_id INT, incident_id INT)
CREATE TABLE Behavior_Incident (incident_id INT, incident_type_code VARCHAR, student_id INT, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR, recommendations VARCHAR, other_details VARCHAR)
CREATE TABLE Students (student_id INT, address_id INT, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR, incident_type_description VARCHAR)
CREATE TABLE Teachers (teacher_id INT, address_id INT, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, gender VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, other_details VARCHAR)
CREATE TABLE Detention (detention_id INT, detention_type_code VARCHAR, teacher_id INT, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR, other_details VARCHAR)
CREATE TABLE Addresses (address_id INT, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR)
CREATE TABLE Assessment_Notes (notes_id INT, student_id INT, teacher_id INT, date_of_notes DATETIME, text_of_notes VARCHAR, other_details VARCHAR)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR, detention_type_description VARCHAR)
CREATE TABLE Student_Addresses (student_id INT, address_id INT, date_address_from DATETIME, date_address_to DATETIME, monthly_rental DECIMAL, other_details VARCHAR)
| A bar chart shows the distribution of date_address_to and the average of monthly_rental bin date_address_to by time. | SELECT date_address_to, AVG(monthly_rental) FROM Student_Addresses ORDER BY monthly_rental DESC | SELECT "date_address_to", AVG("monthly_rental") FROM "Student_Addresses" ORDER BY "monthly_rental" DESC NULLS LAST | 0.111328 |
CREATE TABLE table_5024 ("Rank" FLOAT, "Name" TEXT, "Nationality" TEXT, "1st ( m ) " FLOAT, "2nd ( m ) " FLOAT, "Points" FLOAT, "Overall WC points ( Rank ) " TEXT)
| Which Rank is the lowest one that has a Nationality of slo, and a 1st (m) larger than 125? | SELECT MIN("Rank") FROM table_5024 WHERE "Nationality" = 'slo' AND "1st (m)" > '125' | SELECT MIN("Rank") FROM "table_5024" WHERE "1st (m)" > '125' AND "Nationality" = 'slo' | 0.083984 |
CREATE TABLE table_27859 ("Settlement" TEXT, "Cyrillic Name Other Names" TEXT, "Type" TEXT, "Population ( 2011 ) " TEXT, "Largest ethnic group ( 2002 ) " TEXT, "Dominant religion ( 2002 ) " TEXT)
| How many places have as their cyrillic name and other names ? | SELECT COUNT("Settlement") FROM table_27859 WHERE "Cyrillic Name Other Names" = 'Његошево' | SELECT COUNT("Settlement") FROM "table_27859" WHERE "Cyrillic Name Other Names" = 'Његошево' | 0.089844 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid 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)
| what is the gender and procedure short title of subject id 18480? | SELECT demographic.gender, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "18480" | SELECT "demographic"."gender", "procedures"."short_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "18480" = "demographic"."subject_id" | 0.18457 |
CREATE TABLE table_59116 ("Benalla DFL" TEXT, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Byes" FLOAT, "Against" FLOAT)
| What are the average byes of Bonnie Doon having more than 16 wins? | SELECT AVG("Byes") FROM table_59116 WHERE "Benalla DFL" = 'bonnie doon' AND "Wins" > '16' | SELECT AVG("Byes") FROM "table_59116" WHERE "Benalla DFL" = 'bonnie doon' AND "Wins" > '16' | 0.088867 |
CREATE TABLE table_40999 ("Name" TEXT, "Number" FLOAT, "Position" TEXT, "Year" TEXT, "Hometown" TEXT)
| What is Tim Andree's greatest number? | SELECT MAX("Number") FROM table_40999 WHERE "Name" = 'tim andree' | SELECT MAX("Number") FROM "table_40999" WHERE "Name" = 'tim andree' | 0.06543 |
CREATE TABLE club (clubdesc VARCHAR, clubname VARCHAR)
| What is the description of the club named 'Tennis Club'? | SELECT clubdesc FROM club WHERE clubname = "Tennis Club" | SELECT "clubdesc" FROM "club" WHERE "Tennis Club" = "clubname" | 0.060547 |
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)
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 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)
| how many patients whose diagnoses short title is obs chr bronc w ac bronc and drug route is sc? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Obs chr bronc w ac bronc" AND prescriptions.route = "SC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Obs chr bronc w ac bronc" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "SC" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE table_14389782_2 (losses VARCHAR, jersey_no VARCHAR, games_started VARCHAR)
| How many lost games for jersey number 2 and games started is less than 7.0? | SELECT losses FROM table_14389782_2 WHERE jersey_no = "2" AND games_started < 7.0 | SELECT "losses" FROM "table_14389782_2" WHERE "2" = "jersey_no" AND "games_started" < 7.0 | 0.086914 |
CREATE TABLE table_name_51 (image INT, harrison VARCHAR, ashmolean VARCHAR)
| What is the lowest image with a 20w Harrison, and less than 20 for Ashmolean? | SELECT MIN(image) FROM table_name_51 WHERE harrison = "20w" AND ashmolean < 20 | SELECT MIN("image") FROM "table_name_51" WHERE "20w" = "harrison" AND "ashmolean" < 20 | 0.083984 |
CREATE TABLE table_73669 ("Circuit" TEXT, "Difficulty" TEXT, "Turns" FLOAT, "Direction" TEXT, "Setting" TEXT, "Conditions" TEXT, "Unlock Order" FLOAT, "Unlocks" TEXT, "Unlocked by" TEXT)
| What are the conditions for the athens circuit? | SELECT "Conditions" FROM table_73669 WHERE "Circuit" = 'Athens' | SELECT "Conditions" FROM "table_73669" WHERE "Circuit" = 'Athens' | 0.063477 |
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 code over the name , and group by attribute headquarter, and rank in descending by the Y-axis. | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Code DESC | SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" ORDER BY "T1"."Code" DESC NULLS LAST | 0.189453 |
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)
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 patients whose marital status is single and lab test category is hematology? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.203125 |
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 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose age is less than 76 and drug name is mycophenolate mofetil? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "76" AND prescriptions.drug = "Mycophenolate Mofetil" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Mycophenolate Mofetil" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "76" > "demographic"."age" | 0.224609 |
CREATE TABLE table_name_28 (date VARCHAR, home VARCHAR)
| What was the date when the home team was Dallas? | SELECT date FROM table_name_28 WHERE home = "dallas" | SELECT "date" FROM "table_name_28" WHERE "dallas" = "home" | 0.056641 |
CREATE TABLE table_71030 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " FLOAT)
| What was the Money ($) amount for Lloyd Mangrum? | SELECT "Money ( $ )" FROM table_71030 WHERE "Player" = 'lloyd mangrum' | SELECT "Money ( $ )" FROM "table_71030" WHERE "Player" = 'lloyd mangrum' | 0.070313 |
CREATE TABLE table_train_179 ("id" INT, "systolic_blood_pressure_sbp" INT, "fasting_plasma_glucose_fpg" FLOAT, "diastolic_blood_pressure_dbp" INT, "diabetes" BOOLEAN, "body_mass_index_bmi" FLOAT, "triglyceride_tg" FLOAT, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| elevated triglyceride level > 150 mg / dl | SELECT * FROM table_train_179 WHERE triglyceride_tg > 150 | SELECT * FROM "table_train_179" WHERE "triglyceride_tg" > 150 | 0.05957 |
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
| Show me about the distribution of Sex and the amount of Sex , and group by attribute Sex in a bar chart. | SELECT Sex, COUNT(Sex) FROM people GROUP BY Sex | SELECT "Sex", COUNT("Sex") FROM "people" GROUP BY "Sex" | 0.053711 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| what is the number of times patient 008-40862 had a volume (ml) furosemide intake on 06/29/2105? | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '008-40862')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'volume (ml) furosemide' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) = '2105-06-29' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '008-40862' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'volume (ml) furosemide' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") = '2105-06-29' | 0.661133 |
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