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CREATE TABLE table_60626 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" FLOAT, "Money ( $ ) " FLOAT)
|
WHAT IS THE LOWEST MONEY WITH 74-74-76-74=298 SCORE?
|
SELECT MIN("Money ( $ )") FROM table_60626 WHERE "Score" = '74-74-76-74=298'
|
SELECT MIN("Money ( $ )") FROM "table_60626" WHERE "Score" = '74-74-76-74=298'
| 0.076172 |
CREATE TABLE table_61731 ("Result" TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Location" TEXT)
|
Which location has a method of decision and Nikos Tsoukalas for an opponent?
|
SELECT "Location" FROM table_61731 WHERE "Method" = 'decision' AND "Opponent" = 'nikos tsoukalas'
|
SELECT "Location" FROM "table_61731" WHERE "Method" = 'decision' AND "Opponent" = 'nikos tsoukalas'
| 0.09668 |
CREATE TABLE Policies (Policy_ID INT, Customer_ID INT, Policy_Type_Code CHAR, Start_Date DATETIME, End_Date DATETIME)
CREATE TABLE Claims_Processing_Stages (Claim_Stage_ID INT, Next_Claim_Stage_ID INT, Claim_Status_Name VARCHAR, Claim_Status_Description VARCHAR)
CREATE TABLE Claims_Documents (Claim_ID INT, Document_Type_Code CHAR, Created_by_Staff_ID INT, Created_Date INT)
CREATE TABLE Claims_Processing (Claim_Processing_ID INT, Claim_ID INT, Claim_Outcome_Code CHAR, Claim_Stage_ID INT, Staff_ID INT)
CREATE TABLE Claim_Headers (Claim_Header_ID INT, Claim_Status_Code CHAR, Claim_Type_Code CHAR, Policy_ID INT, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL, Amount_Piad DECIMAL)
CREATE TABLE Staff (Staff_ID INT, Staff_Details VARCHAR)
CREATE TABLE Customers (Customer_ID INT, Customer_Details VARCHAR)
|
Find the number of records of each policy type and its type code. Plot them as pie chart.
|
SELECT Policy_Type_Code, COUNT(*) FROM Policies GROUP BY Policy_Type_Code
|
SELECT "Policy_Type_Code", COUNT(*) FROM "Policies" GROUP BY "Policy_Type_Code"
| 0.077148 |
CREATE TABLE table_59395 ("Frequency" FLOAT, "Callsign" TEXT, "Brand" TEXT, "City of License" TEXT, "Type" TEXT)
|
What is Brand, when Frequency is '640'?
|
SELECT "Brand" FROM table_59395 WHERE "Frequency" = '640'
|
SELECT "Brand" FROM "table_59395" WHERE "Frequency" = '640'
| 0.057617 |
CREATE TABLE table_11545282_17 (years_for_jazz VARCHAR, player VARCHAR)
|
Wht years did truck robinson play?
|
SELECT years_for_jazz FROM table_11545282_17 WHERE player = "Truck Robinson"
|
SELECT "years_for_jazz" FROM "table_11545282_17" WHERE "Truck Robinson" = "player"
| 0.080078 |
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 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)
|
what is the insurance and diagnosis icd9 code of subject id 21796?
|
SELECT demographic.insurance, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "21796"
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SELECT "demographic"."insurance", "diagnoses"."icd9_code" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "21796" = "demographic"."subject_id"
| 0.182617 |
CREATE TABLE table_203_266 (id DECIMAL, "group" TEXT, "members" DECIMAL, "caucusing" DECIMAL, "total" DECIMAL)
|
what is the total amount of members in the socialist group not including caucusing members ?
|
SELECT "members" FROM table_203_266 WHERE "group" = 'socialist group'
|
SELECT "members" FROM "table_203_266" WHERE "group" = 'socialist group'
| 0.069336 |
CREATE TABLE table_16226584_1 (length_feet INT, km_from_kingston VARCHAR)
|
When the kilometers from kingston is 105.4 what is the minimum amount of length in feet?
|
SELECT MIN(length_feet) FROM table_16226584_1 WHERE km_from_kingston = "105.4"
|
SELECT MIN("length_feet") FROM "table_16226584_1" WHERE "105.4" = "km_from_kingston"
| 0.082031 |
CREATE TABLE student (fname VARCHAR, lname VARCHAR, stuid VARCHAR)
CREATE TABLE dorm_amenity (amenid VARCHAR, amenity_name VARCHAR)
CREATE TABLE lives_in (stuid VARCHAR, dormid VARCHAR)
CREATE TABLE has_amenity (dormid VARCHAR, amenid VARCHAR)
|
Find the first and last name of students who are living in the dorms that have amenity TV Lounge.
|
SELECT T1.fname, T1.lname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge')
|
WITH "_u_0" AS (SELECT "T3"."dormid" FROM "has_amenity" AS "T3" JOIN "dorm_amenity" AS "T4" ON "T3"."amenid" = "T4"."amenid" AND "T4"."amenity_name" = 'TV Lounge' GROUP BY "dormid") SELECT "T1"."fname", "T1"."lname" FROM "student" AS "T1" JOIN "lives_in" AS "T2" ON "T1"."stuid" = "T2"."stuid" LEFT JOIN "_u_0" AS "_u_0" ON "T2"."dormid" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL
| 0.368164 |
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
|
For each city, return the highest latitude among its stations Show bar chart, I want to sort city in desc order please.
|
SELECT city, MAX(lat) FROM station GROUP BY city ORDER BY city DESC
|
SELECT "city", MAX("lat") FROM "station" GROUP BY "city" ORDER BY "city" DESC NULLS LAST
| 0.085938 |
CREATE TABLE table_name_58 (runner_s__up VARCHAR, year VARCHAR)
|
Who was the runner-up when the year was 2008?
|
SELECT runner_s__up FROM table_name_58 WHERE year = "2008"
|
SELECT "runner_s__up" FROM "table_name_58" WHERE "2008" = "year"
| 0.0625 |
CREATE TABLE table_4505 ("Religious group" TEXT, "Population % 1961" TEXT, "Population % 1971" TEXT, "Population % 1981" TEXT, "Population % 1991" TEXT, "Population % 2001" TEXT)
|
For the group with 1.92% population in 1981, what was their percentage of the population in 1971?
|
SELECT "Population % 1971" FROM table_4505 WHERE "Population % 1981" = '1.92%'
|
SELECT "Population % 1971" FROM "table_4505" WHERE "Population % 1981" = '1.92%'
| 0.078125 |
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 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 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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)
|
how much patient 016-24379 had to pay in their first hospital encounter for their hospital stay?
|
SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-24379' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)
|
SELECT SUM("cost"."cost") FROM "cost" WHERE "cost"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-24379' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)
| 0.287109 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
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count the number of patients who received a oxygen therapy (40% to 60%) - face mask procedure two or more times until 2 years ago?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, COUNT(*) AS c1 FROM patient WHERE patient.patientunitstayid = (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'oxygen therapy (40% to 60%) - face mask' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-2 year')) GROUP BY patient.uniquepid) AS t1 WHERE t1.c1 >= 2
|
WITH "t1" AS (SELECT "patient"."uniquepid", COUNT(*) AS "c1" FROM "patient" JOIN "treatment" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" AND "treatment"."treatmentname" = 'oxygen therapy (40% to 60%) - face mask' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "patient"."uniquepid") SELECT COUNT(DISTINCT "t1"."uniquepid") FROM "t1" AS "t1" WHERE "t1"."c1" >= 2
| 0.416992 |
CREATE TABLE table_54633 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What is the location when the home team score is 11.16 (82) and the away team score is 18.13 (121)?
|
SELECT "Venue" FROM table_54633 WHERE "Home team score" = '11.16 (82)' AND "Away team score" = '18.13 (121)'
|
SELECT "Venue" FROM "table_54633" WHERE "Away team score" = '18.13 (121)' AND "Home team score" = '11.16 (82)'
| 0.107422 |
CREATE TABLE table_2220 ("Team" TEXT, "Location" TEXT, "Head Coach" TEXT, "Team Captain" TEXT, "Venue" TEXT, "Capacity" FLOAT, "Position in 2008" TEXT)
|
Who is the head coach of the team who's venue is Lokomotiv?
|
SELECT "Head Coach" FROM table_2220 WHERE "Venue" = 'Lokomotiv'
|
SELECT "Head Coach" FROM "table_2220" WHERE "Venue" = 'Lokomotiv'
| 0.063477 |
CREATE TABLE table_name_95 (australian VARCHAR, examples VARCHAR)
|
What is Australian, when Examples is 'am ba, anemone, ascesis'?
|
SELECT australian FROM table_name_95 WHERE examples = "amœba, anemone, ascesis"
|
SELECT "australian" FROM "table_name_95" WHERE "amœba, anemone, ascesis" = "examples"
| 0.083008 |
CREATE TABLE attribute_definitions (attribute_id DECIMAL, attribute_name TEXT, attribute_data_type TEXT)
CREATE TABLE catalog_contents (catalog_entry_id DECIMAL, catalog_level_number DECIMAL, parent_entry_id DECIMAL, previous_entry_id DECIMAL, next_entry_id DECIMAL, catalog_entry_name TEXT, product_stock_number TEXT, price_in_dollars DECIMAL, price_in_euros DECIMAL, price_in_pounds DECIMAL, capacity TEXT, length TEXT, height TEXT, width TEXT)
CREATE TABLE catalog_structure (catalog_level_number DECIMAL, catalog_id DECIMAL, catalog_level_name TEXT)
CREATE TABLE catalogs (catalog_id DECIMAL, catalog_name TEXT, catalog_publisher TEXT, date_of_publication TIME, date_of_latest_revision TIME)
CREATE TABLE catalog_contents_additional_attributes (catalog_entry_id DECIMAL, catalog_level_number DECIMAL, attribute_id DECIMAL, attribute_value TEXT)
|
What are the name and publication date of the catalogs with catalog level number above 5?
|
SELECT t1.catalog_name, t1.date_of_publication FROM catalogs AS t1 JOIN catalog_structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 5
|
SELECT "t1"."catalog_name", "t1"."date_of_publication" FROM "catalogs" AS "t1" JOIN "catalog_structure" AS "t2" ON "t1"."catalog_id" = "t2"."catalog_id" WHERE "catalog_level_number" > 5
| 0.180664 |
CREATE TABLE table_name_81 (year_s_ INT, season VARCHAR)
|
When was the earliest with 4 seasons?
|
SELECT MIN(year_s_) FROM table_name_81 WHERE season = 4
|
SELECT MIN("year_s_") FROM "table_name_81" WHERE "season" = 4
| 0.05957 |
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 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)
|
what is the number of patients whose gender is f and diagnoses short title is joint replaced knee?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Joint replaced knee"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Joint replaced knee" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender"
| 0.219727 |
CREATE TABLE table_21321804_1 (pick__number VARCHAR, player VARCHAR)
|
What is the pick # for player wes lysack?
|
SELECT pick__number FROM table_21321804_1 WHERE player = "Wes Lysack"
|
SELECT "pick__number" FROM "table_21321804_1" WHERE "Wes Lysack" = "player"
| 0.073242 |
CREATE TABLE table_name_25 (constructor VARCHAR, laps VARCHAR, time_retired VARCHAR)
|
Who built the car that went 53 laps with a Time/Retired of 1:17:09.672?
|
SELECT constructor FROM table_name_25 WHERE laps = 53 AND time_retired = "1:17:09.672"
|
SELECT "constructor" FROM "table_name_25" WHERE "1:17:09.672" = "time_retired" AND "laps" = 53
| 0.091797 |
CREATE TABLE table_24672 ("State Rank by Revenue" FLOAT, "Company Name" TEXT, "National Rank" FLOAT, "Revenue ( $billions ) 2012 estimate" TEXT, "Headquarters City" TEXT, "Known for" TEXT)
|
What is the rank for Murphy Oil?
|
SELECT "State Rank by Revenue" FROM table_24672 WHERE "Company Name" = 'Murphy Oil'
|
SELECT "State Rank by Revenue" FROM "table_24672" WHERE "Company Name" = 'Murphy Oil'
| 0.083008 |
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 district (District_ID INT, District_name TEXT, Headquartered_City TEXT, City_Population FLOAT, City_Area FLOAT)
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)
|
For each type of store, how many of them are there Plot them as bar chart, and display by the X from high to low.
|
SELECT Type, COUNT(*) FROM store GROUP BY Type ORDER BY Type DESC
|
SELECT "Type", COUNT(*) FROM "store" GROUP BY "Type" ORDER BY "Type" DESC NULLS LAST
| 0.082031 |
CREATE TABLE table_8999 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" TEXT, "Time/Retired" TEXT, "Grid" TEXT)
|
Who was the manufacter of the car with a time/retired of +0.122?
|
SELECT "Manufacturer" FROM table_8999 WHERE "Time/Retired" = '+0.122'
|
SELECT "Manufacturer" FROM "table_8999" WHERE "Time/Retired" = '+0.122'
| 0.069336 |
CREATE TABLE table_66989 ("Riding" TEXT, "Candidate's Name" TEXT, "Gender" TEXT, "Residence" TEXT, "Occupation" TEXT, "Votes" FLOAT, "Rank" TEXT)
|
what is the candidates name who is ranked 8th?
|
SELECT "Candidate's Name" FROM table_66989 WHERE "Rank" = '8th'
|
SELECT "Candidate's Name" FROM "table_66989" WHERE "Rank" = '8th'
| 0.063477 |
CREATE TABLE table_name_14 (year_to INT, engine VARCHAR, chassis VARCHAR)
|
Which Year To has an Engine of 119.972, and a Chassis smaller than 129.067?
|
SELECT MIN(year_to) FROM table_name_14 WHERE engine = 119.972 AND chassis < 129.067
|
SELECT MIN("year_to") FROM "table_name_14" WHERE "chassis" < 129.067 AND "engine" = 119.972
| 0.088867 |
CREATE TABLE table_14197 ("Name" TEXT, "Position" TEXT, "Apps" FLOAT, "Goals" FLOAT, "Assists" FLOAT)
|
What is the total goals with 12 assists, and less than 291 apps?
|
SELECT SUM("Goals") FROM table_14197 WHERE "Assists" = '12' AND "Apps" < '291'
|
SELECT SUM("Goals") FROM "table_14197" WHERE "Apps" < '291' AND "Assists" = '12'
| 0.078125 |
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)
|
let me know the short title and icd9 code of diagnoses for patient john gartman.
|
SELECT diagnoses.icd9_code, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "John Gartman"
|
SELECT "diagnoses"."icd9_code", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "John Gartman" = "demographic"."name"
| 0.183594 |
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (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 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
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 ReviewTaskStates (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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE FlagTypes (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)
|
Average Reputation of SO Users in Manchester, United Kingdom with reputation equal or more than 15.
|
SELECT AVG(Reputation) AS "average_reputation", COUNT(Id) AS "total_users" FROM Users WHERE LOWER(Location) LIKE '%manchester, united kingdom' AND Reputation >= 15
|
SELECT AVG("Reputation") AS "average_reputation", COUNT("Id") AS "total_users" FROM "Users" WHERE "Reputation" >= 15 AND LOWER("Location") LIKE '%manchester, united kingdom'
| 0.168945 |
CREATE TABLE table_name_26 (date VARCHAR, name VARCHAR)
|
What Date has a Name of thuin circuit?
|
SELECT date FROM table_name_26 WHERE name = "thuin circuit"
|
SELECT "date" FROM "table_name_26" WHERE "name" = "thuin circuit"
| 0.063477 |
CREATE TABLE table_79435 ("Country" TEXT, "Contestant" TEXT, "Height ( cm ) " FLOAT, "Height ( ft ) " TEXT, "Hometown" TEXT)
|
What is the hometown of the player from Indonesia?
|
SELECT "Hometown" FROM table_79435 WHERE "Country" = 'indonesia'
|
SELECT "Hometown" FROM "table_79435" WHERE "Country" = 'indonesia'
| 0.064453 |
CREATE TABLE table_name_50 (final VARCHAR, run_2 VARCHAR)
|
Which Final has a Run 2 of 1:27.58?
|
SELECT final FROM table_name_50 WHERE run_2 = "1:27.58"
|
SELECT "final" FROM "table_name_50" WHERE "1:27.58" = "run_2"
| 0.05957 |
CREATE TABLE table_3032 ("Series No." FLOAT, "Episode No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "UK Ratings ( BBC2 Rank ) " TEXT, "Original air date" TEXT)
|
Name the least series number
|
SELECT MIN("Series No.") FROM table_3032
|
SELECT MIN("Series No.") FROM "table_3032"
| 0.041016 |
CREATE TABLE table_name_33 (finish VARCHAR, to_par VARCHAR, year_s__won VARCHAR)
|
What is Finish, when To Par is greater than 6, and when Year(s) Won is before 1961?
|
SELECT finish FROM table_name_33 WHERE to_par > 6 AND year_s__won < 1961
|
SELECT "finish" FROM "table_name_33" WHERE "to_par" > 6 AND "year_s__won" < 1961
| 0.078125 |
CREATE TABLE table_80369 ("Date" TEXT, "Round" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT, "Scorers" TEXT)
|
What venue was on 27 May 2000?
|
SELECT "Venue" FROM table_80369 WHERE "Date" = '27 may 2000'
|
SELECT "Venue" FROM "table_80369" WHERE "Date" = '27 may 2000'
| 0.060547 |
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE 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)
|
what were the three drugs most frequently prescribed within the same month to the patients aged 40s after they were diagnosed with protein-calorie malnutrition this year?
|
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'protein-calorie malnutrition' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.age BETWEEN 40 AND 49 AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3
|
WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 49 AND "patient"."age" >= 40 WHERE DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."drugstarttime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'protein-calorie malnutrition' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3
| 1.035156 |
CREATE TABLE table_27700530_15 (location_attendance VARCHAR, game VARCHAR)
|
What was the location and attendance for game 2?
|
SELECT location_attendance FROM table_27700530_15 WHERE game = 2
|
SELECT "location_attendance" FROM "table_27700530_15" WHERE "game" = 2
| 0.068359 |
CREATE TABLE table_304 ("Player" TEXT, "Position" TEXT, "School" TEXT, "Hometown" TEXT, "College" TEXT)
|
How many players attended Hillcrest High School?
|
SELECT COUNT("College") FROM table_304 WHERE "School" = 'Hillcrest High School'
|
SELECT COUNT("College") FROM "table_304" WHERE "School" = 'Hillcrest High School'
| 0.079102 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
what is gender and language of subject name gwendolyn hager?
|
SELECT demographic.gender, demographic.language FROM demographic WHERE demographic.name = "Gwendolyn Hager"
|
SELECT "demographic"."gender", "demographic"."language" FROM "demographic" WHERE "Gwendolyn Hager" = "demographic"."name"
| 0.118164 |
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
|
what is patient 6580's length of stay of the first hospital stay.
|
SELECT STRFTIME('%j', admissions.dischtime) - STRFTIME('%j', admissions.admittime) FROM admissions WHERE admissions.subject_id = 6580 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1
|
SELECT STRFTIME('%j', "admissions"."dischtime") - STRFTIME('%j', "admissions"."admittime") FROM "admissions" WHERE "admissions"."subject_id" = 6580 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1
| 0.236328 |
CREATE TABLE table_4526 ("Name" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning driver" TEXT, "Winning team" TEXT, "Report" TEXT)
|
Who won for Forsythe Racing when Bobby Rahal had pole position?
|
SELECT "Name" FROM table_4526 WHERE "Winning team" = 'forsythe racing' AND "Pole Position" = 'bobby rahal'
|
SELECT "Name" FROM "table_4526" WHERE "Pole Position" = 'bobby rahal' AND "Winning team" = 'forsythe racing'
| 0.105469 |
CREATE TABLE table_62768 ("Constituency number" TEXT, "Name" TEXT, "Reserved for ( SC / ST /None ) " TEXT, "District" TEXT, "Number of electorates ( 2003 ) " FLOAT)
|
Which district had SC reserved and 169 Constituents?
|
SELECT "District" FROM table_62768 WHERE "Reserved for ( SC / ST /None)" = 'sc' AND "Constituency number" = '169'
|
SELECT "District" FROM "table_62768" WHERE "Constituency number" = '169' AND "Reserved for ( SC / ST /None)" = 'sc'
| 0.112305 |
CREATE TABLE head (head_ID INT, name TEXT, born_state TEXT, age FLOAT)
CREATE TABLE department (Department_ID INT, Name TEXT, Creation TEXT, Ranking INT, Budget_in_Billions FLOAT, Num_Employees FLOAT)
CREATE TABLE management (department_ID INT, head_ID INT, temporary_acting TEXT)
|
Show me the number of born state by born state in a histogram, rank in desc by the y axis.
|
SELECT born_state, COUNT(born_state) FROM head GROUP BY born_state ORDER BY COUNT(born_state) DESC
|
SELECT "born_state", COUNT("born_state") FROM "head" GROUP BY "born_state" ORDER BY COUNT("born_state") DESC NULLS LAST
| 0.116211 |
CREATE TABLE table_36150 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Game Site" TEXT, "Attendance" TEXT)
|
What is the date of the game with 40,005 in attendance?
|
SELECT "Date" FROM table_36150 WHERE "Attendance" = '40,005'
|
SELECT "Date" FROM "table_36150" WHERE "Attendance" = '40,005'
| 0.060547 |
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 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
give me the number of patients whose diagnosis icd9 code is 7756 along with a main drug type
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "7756" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "7756" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.283203 |
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (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 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 PostHistoryTypes (Id DECIMAL, Name 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
|
Users with most Necromancer badges at 2015-04-14.
|
SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS rank, UserId AS "user_link", COUNT(*) AS badges FROM Badges WHERE Name = 'Necromancer' AND Date < '##Date?2015-04-14##' GROUP BY UserId ORDER BY Badges DESC LIMIT 300
|
SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "rank", "UserId" AS "user_link", COUNT(*) AS "badges" FROM "Badges" WHERE "Date" < '##Date?2015-04-14##' AND "Name" = 'Necromancer' GROUP BY "UserId" ORDER BY "Badges" DESC NULLS LAST LIMIT 300
| 0.250977 |
CREATE TABLE table_32032 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
What was Jenson Button's constructor?
|
SELECT "Constructor" FROM table_32032 WHERE "Driver" = 'jenson button'
|
SELECT "Constructor" FROM "table_32032" WHERE "Driver" = 'jenson button'
| 0.070313 |
CREATE TABLE table_25764073_3 (director_s_ VARCHAR, writer_s_ VARCHAR)
|
Name the directors for peter gawler
|
SELECT director_s_ FROM table_25764073_3 WHERE writer_s_ = "Peter Gawler"
|
SELECT "director_s_" FROM "table_25764073_3" WHERE "Peter Gawler" = "writer_s_"
| 0.077148 |
CREATE TABLE table_38956 ("Player" TEXT, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
|
How many Extra points have Touchdowns of 1, and a Player of ross kidston, and Points smaller than 5?
|
SELECT SUM("Extra points") FROM table_38956 WHERE "Touchdowns" = '1' AND "Player" = 'ross kidston' AND "Points" < '5'
|
SELECT SUM("Extra points") FROM "table_38956" WHERE "Player" = 'ross kidston' AND "Points" < '5' AND "Touchdowns" = '1'
| 0.116211 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 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)
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
did patient 031-4987 have the results of the microbiological tests during a month before?
|
SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-4987')) AND DATETIME(microlab.culturetakentime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-4987' 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 "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL
| 0.597656 |
CREATE TABLE table_15410 ("Date" TEXT, "City" TEXT, "Event" TEXT, "Winner" TEXT, "Prize" TEXT)
|
Who is the Winner, when the City is Berlin?
|
SELECT "Winner" FROM table_15410 WHERE "City" = 'berlin'
|
SELECT "Winner" FROM "table_15410" WHERE "City" = 'berlin'
| 0.056641 |
CREATE TABLE table_18646111_13 (round_3 VARCHAR, class VARCHAR)
|
Name the total number of round 3 for class tt1
|
SELECT COUNT(round_3) FROM table_18646111_13 WHERE class = "TT1"
|
SELECT COUNT("round_3") FROM "table_18646111_13" WHERE "TT1" = "class"
| 0.068359 |
CREATE TABLE table_9255 ("Season" FLOAT, "Conference" TEXT, "Champion" TEXT, "Format" TEXT, "Series" TEXT, "Runner-Up" TEXT)
|
What series has a season after 2008, super leg final as the format, and conference v as the conference?
|
SELECT "Series" FROM table_9255 WHERE "Season" > '2008' AND "Format" = 'super leg final' AND "Conference" = 'conference v'
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SELECT "Series" FROM "table_9255" WHERE "Conference" = 'conference v' AND "Format" = 'super leg final' AND "Season" > '2008'
| 0.121094 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
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)
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can you show me flights that are economy class from BALTIMORE to DALLAS
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SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND fare_basis.economy = 'YES' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
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SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" 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 "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."economy" = 'YES'
| 0.732422 |
CREATE TABLE table_14253123_1 (in_no VARCHAR, county_name VARCHAR)
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When Spencer is the county what is the in no.?
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SELECT in_no FROM table_14253123_1 WHERE county_name = "Spencer"
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SELECT "in_no" FROM "table_14253123_1" WHERE "Spencer" = "county_name"
| 0.068359 |
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 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 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 patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
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how many of the patients were diagnosed with cellulitis - chest within the same hospital visit after having received a analgesics - neuraxial analgesics procedure.
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SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'analgesics - neuraxial analgesics') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cellulitis - chest') AS t2 WHERE t1.treatmenttime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
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WITH "t2" AS (SELECT "diagnosis"."diagnosistime", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'cellulitis - chest') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" AS "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "t2"."diagnosistime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'analgesics - neuraxial analgesics'
| 0.594727 |
CREATE TABLE table_name_12 (year INT, wins VARCHAR, points VARCHAR)
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What is the earliest year with fewer than 5 wins and 89 points?
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SELECT MIN(year) FROM table_name_12 WHERE wins < 5 AND points = 89
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SELECT MIN("year") FROM "table_name_12" WHERE "points" = 89 AND "wins" < 5
| 0.072266 |
CREATE TABLE party (Party_ID INT, Minister TEXT, Took_office TEXT, Left_office TEXT, Region_ID INT, Party_name TEXT)
CREATE TABLE party_events (Event_ID INT, Event_Name TEXT, Party_ID INT, Member_in_charge_ID INT)
CREATE TABLE region (Region_ID INT, Region_name TEXT, Date TEXT, Label TEXT, Format TEXT, Catalogue TEXT)
CREATE TABLE member (Member_ID INT, Member_Name TEXT, Party_ID TEXT, In_office TEXT)
|
Stacked bar of took office and how many took office colored by Minister, and sort Y from low to high order.
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SELECT Took_office, COUNT(Took_office) FROM party GROUP BY Minister ORDER BY COUNT(Took_office)
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SELECT "Took_office", COUNT("Took_office") FROM "party" GROUP BY "Minister" ORDER BY COUNT("Took_office") NULLS FIRST
| 0.114258 |
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
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Is GEOSCI 511 section 202 being offered in the Summer 2013 semester ?
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SELECT COUNT(*) > 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course_offering.section_number = 202 AND course.department = 'GEOSCI' AND course.number = 511 AND semester.semester = 'Summer' AND semester.year = 2013
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SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."section_number" = 202 JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Summer' AND "semester"."year" = 2013 WHERE "course"."department" = 'GEOSCI' AND "course"."number" = 511
| 0.356445 |
CREATE TABLE table_16886076_1 (nickerie VARCHAR, marowijne VARCHAR)
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Name the nickerie for marowijne being 4.7%
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SELECT COUNT(nickerie) FROM table_16886076_1 WHERE marowijne = "4.7%"
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SELECT COUNT("nickerie") FROM "table_16886076_1" WHERE "4.7%" = "marowijne"
| 0.073242 |
CREATE TABLE table_21475 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score in the final" TEXT)
|
Which championship had the final opponents of nathalie dechy andy ram?
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SELECT "Championship" FROM table_21475 WHERE "Opponents in the final" = 'Nathalie Dechy Andy Ram'
|
SELECT "Championship" FROM "table_21475" WHERE "Opponents in the final" = 'Nathalie Dechy Andy Ram'
| 0.09668 |
CREATE TABLE table_name_47 (date__opening_ VARCHAR, opening_film VARCHAR)
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What is Date (Opening), when Opening Film is 'Another Myanmar, Mae Sot'?
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SELECT date__opening_ FROM table_name_47 WHERE opening_film = "another myanmar, mae sot"
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SELECT "date__opening_" FROM "table_name_47" WHERE "another myanmar, mae sot" = "opening_film"
| 0.091797 |
CREATE TABLE table_75464 ("Date" TEXT, "Venue" TEXT, "Opponents" TEXT, "Score" TEXT, "Competition" TEXT)
|
Which Score has Opponents of pkns fc, and a Date of january 8, 2006?
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SELECT "Score" FROM table_75464 WHERE "Opponents" = 'pkns fc' AND "Date" = 'january 8, 2006'
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SELECT "Score" FROM "table_75464" WHERE "Date" = 'january 8, 2006' AND "Opponents" = 'pkns fc'
| 0.091797 |
CREATE TABLE flight_fare (flight_id INT, fare_id 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 time_interval (period TEXT, begin_time INT, end_time INT)
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 month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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)
|
information on afternoon flights from PHILADELPHIA to DENVER
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SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 1200 AND 1800
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SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" <= 1800 AND "flight"."departure_time" >= 1200 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER'
| 0.572266 |
CREATE TABLE table_name_46 (attendance VARCHAR, result VARCHAR)
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What is the Attendance of the game with a Result of L 20-14?
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SELECT attendance FROM table_name_46 WHERE result = "l 20-14"
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SELECT "attendance" FROM "table_name_46" WHERE "l 20-14" = "result"
| 0.06543 |
CREATE TABLE table_name_87 (rank_points VARCHAR, score_points VARCHAR)
|
What is the rank for the player where there are 11 points?
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SELECT rank_points FROM table_name_87 WHERE score_points = "11"
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SELECT "rank_points" FROM "table_name_87" WHERE "11" = "score_points"
| 0.067383 |
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 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)
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what is age and religion of subject name jerry deberry?
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SELECT demographic.age, demographic.religion FROM demographic WHERE demographic.name = "Jerry Deberry"
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SELECT "demographic"."age", "demographic"."religion" FROM "demographic" WHERE "Jerry Deberry" = "demographic"."name"
| 0.113281 |
CREATE TABLE table_15110 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Record" TEXT, "Attendance" TEXT)
|
Name the date for game site of riverfront stadium
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SELECT "Date" FROM table_15110 WHERE "Game site" = 'riverfront stadium'
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SELECT "Date" FROM "table_15110" WHERE "Game site" = 'riverfront stadium'
| 0.071289 |
CREATE TABLE table_46118 ("School" TEXT, "Location" TEXT, "Founded" FLOAT, "Affiliation" TEXT, "Nickname" TEXT)
|
Who is affiliated with the Dukes?
|
SELECT "Affiliation" FROM table_46118 WHERE "Nickname" = 'dukes'
|
SELECT "Affiliation" FROM "table_46118" WHERE "Nickname" = 'dukes'
| 0.064453 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the average of department_id over the hire_date bin hire_date by weekday by a bar chart, and sort in asc by the the average of department id.
|
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(DEPARTMENT_ID)
|
SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY AVG("DEPARTMENT_ID") NULLS FIRST
| 0.25 |
CREATE TABLE table_70333 ("Date" TEXT, "Location" TEXT, "Score" TEXT, "Scorers for Chad" TEXT, "Competition" TEXT)
|
What is the location of the match on February 29, 2012?
|
SELECT "Location" FROM table_70333 WHERE "Date" = 'february 29, 2012'
|
SELECT "Location" FROM "table_70333" WHERE "Date" = 'february 29, 2012'
| 0.069336 |
CREATE TABLE table_45552 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in Final" TEXT, "Score in Final" TEXT)
|
What is the Date of the match with Partner Steffi Graf with a Score in Final of 4 6, 1 6?
|
SELECT "Date" FROM table_45552 WHERE "Score in Final" = '4–6, 1–6' AND "Partner" = 'steffi graf'
|
SELECT "Date" FROM "table_45552" WHERE "Partner" = 'steffi graf' AND "Score in Final" = '4–6, 1–6'
| 0.095703 |
CREATE TABLE table_39702 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
How many bronzes for the nation ranked 14th, with over 14 golds and over 25 silvers?
|
SELECT COUNT("Bronze") FROM table_39702 WHERE "Gold" > '14' AND "Rank" = '14' AND "Silver" > '25'
|
SELECT COUNT("Bronze") FROM "table_39702" WHERE "Gold" > '14' AND "Rank" = '14' AND "Silver" > '25'
| 0.09668 |
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 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 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)
|
what are the new prescriptions of patient 025-50213 today compared with the prescription yesterday?
|
SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '025-50213') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '025-50213') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-50213' GROUP BY "patientunitstayid") SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_0"."" IS NULL EXCEPT SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_0" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL
| 0.658203 |
CREATE TABLE table_20693 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" TEXT, "Avg. Finish" TEXT, "Winnings" TEXT, "Position" TEXT, "Team ( s ) " TEXT)
|
What are the winnings for the season where the average finish is 11.1?
|
SELECT "Winnings" FROM table_20693 WHERE "Avg. Finish" = '11.1'
|
SELECT "Winnings" FROM "table_20693" WHERE "Avg. Finish" = '11.1'
| 0.063477 |
CREATE TABLE county (County_Id INT, County_name TEXT, Population FLOAT, Zip_code TEXT)
CREATE TABLE party (Party_ID INT, Year FLOAT, Party TEXT, Governor TEXT, Lieutenant_Governor TEXT, Comptroller TEXT, Attorney_General TEXT, US_Senate TEXT)
CREATE TABLE election (Election_ID INT, Counties_Represented TEXT, District INT, Delegate TEXT, Party INT, First_Elected FLOAT, Committee TEXT)
|
Show how many delegates in each party with a pie chart.
|
SELECT T2.Party, COUNT(T2.Party) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party
|
SELECT "T2"."Party", COUNT("T2"."Party") FROM "election" AS "T1" JOIN "party" AS "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party"
| 0.137695 |
CREATE TABLE addresses (city VARCHAR, address_id VARCHAR)
CREATE TABLE people_addresses (address_id VARCHAR)
|
Find distinct cities of addresses of people?
|
SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id
|
SELECT DISTINCT "T1"."city" FROM "addresses" AS "T1" JOIN "people_addresses" AS "T2" ON "T1"."address_id" = "T2"."address_id"
| 0.12207 |
CREATE TABLE table_9191 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents" TEXT, "Score" TEXT)
|
What type of surface was played on July 27, 2013?
|
SELECT "Surface" FROM table_9191 WHERE "Date" = 'july 27, 2013'
|
SELECT "Surface" FROM "table_9191" WHERE "Date" = 'july 27, 2013'
| 0.063477 |
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)
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)
|
give me the number of patients less than 61 years who have procedure icd9 code 3727.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "61" AND procedures.icd9_code = "3727"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3727" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "61" > "demographic"."age"
| 0.204102 |
CREATE TABLE table_21876 ("Season" FLOAT, "Date" TEXT, "Winning Driver" TEXT, "Car #" FLOAT, "Sponsor" TEXT, "Make" TEXT, "Team" TEXT, "Avg Speed" TEXT, "Margin of Victory" TEXT)
|
What was the represented team on June 27?
|
SELECT "Team" FROM table_21876 WHERE "Date" = 'June 27'
|
SELECT "Team" FROM "table_21876" WHERE "Date" = 'June 27'
| 0.055664 |
CREATE TABLE table_62957 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Percentage" TEXT, "Place" FLOAT)
|
What is the Place of Draw 1 by Artist Monika Kirovska?
|
SELECT AVG("Place") FROM table_62957 WHERE "Artist" = 'monika kirovska' AND "Draw" < '1'
|
SELECT AVG("Place") FROM "table_62957" WHERE "Artist" = 'monika kirovska' AND "Draw" < '1'
| 0.087891 |
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 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 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 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 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 Ref_Incident_Type (incident_type_code VARCHAR, incident_type_description VARCHAR)
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_in_Detention (student_id INT, detention_id INT, incident_id INT)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR, address_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)
|
Show me about the distribution of other_details and the average of monthly_rental , and group by attribute other_details in a bar chart.
|
SELECT other_details, AVG(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC
|
SELECT "other_details", AVG("monthly_rental") FROM "Student_Addresses" GROUP BY "other_details" ORDER BY "monthly_rental" DESC NULLS LAST
| 0.133789 |
CREATE TABLE table_204_423 (id DECIMAL, "name" TEXT, "location" TEXT, "city" TEXT, "listing date" TEXT)
|
which site was listed earlier , the state public school or the edwin r. clarke library ?
|
SELECT "name" FROM table_204_423 WHERE "name" IN ('state public school at coldwater', 'edwin r. clarke library (michigan library association)') ORDER BY "listing date" LIMIT 1
|
SELECT "name" FROM "table_204_423" WHERE "name" IN ('state public school at coldwater', 'edwin r. clarke library (michigan library association)') ORDER BY "listing date" NULLS FIRST LIMIT 1
| 0.18457 |
CREATE TABLE table_name_52 (diameter__km_ INT, longitude VARCHAR, year_named VARCHAR)
|
What is the Diameter (km) of the Valle with a Longitude of 152.5e named before 1997?
|
SELECT MAX(diameter__km_) FROM table_name_52 WHERE longitude = "152.5e" AND year_named < 1997
|
SELECT MAX("diameter__km_") FROM "table_name_52" WHERE "152.5e" = "longitude" AND "year_named" < 1997
| 0.098633 |
CREATE TABLE table_name_60 (score INT, place VARCHAR, country VARCHAR)
|
What is the average score for the player who is T5 in the United States?
|
SELECT AVG(score) FROM table_name_60 WHERE place = "t5" AND country = "united states"
|
SELECT AVG("score") FROM "table_name_60" WHERE "country" = "united states" AND "place" = "t5"
| 0.09082 |
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)
|
how many patients are admitted urgently and lab tested for bilirubin,direct?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.label = "Bilirubin, Direct"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Bilirubin, Direct" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.207031 |
CREATE TABLE table_58724 ("Frequency" FLOAT, "Power D/N" TEXT, "Callsign" TEXT, "Brand" TEXT, "City of License" TEXT)
|
What callsign has 1300 as the frequency?
|
SELECT "Callsign" FROM table_58724 WHERE "Frequency" = '1300'
|
SELECT "Callsign" FROM "table_58724" WHERE "Frequency" = '1300'
| 0.061523 |
CREATE TABLE table_32649 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What's the home team's score at lake oval?
|
SELECT "Home team score" FROM table_32649 WHERE "Venue" = 'lake oval'
|
SELECT "Home team score" FROM "table_32649" WHERE "Venue" = 'lake oval'
| 0.069336 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, find email and manager_id , and visualize them by a bar chart.
|
SELECT EMAIL, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
SELECT "EMAIL", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.164063 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, for salary, hire_date, visualize the trend, could you rank x-axis from high to low order?
|
SELECT HIRE_DATE, SALARY FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE DESC
|
SELECT "HIRE_DATE", "SALARY" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY "HIRE_DATE" DESC NULLS LAST
| 0.233398 |
CREATE TABLE table_52664 ("Chemical class" TEXT, "Group" TEXT, "Formula" TEXT, "Prefix" TEXT, "Suffix" TEXT, "Example" TEXT)
|
What is the chemical class for ri?
|
SELECT "Chemical class" FROM table_52664 WHERE "Formula" = 'ri'
|
SELECT "Chemical class" FROM "table_52664" WHERE "Formula" = 'ri'
| 0.063477 |
CREATE TABLE table_32879 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What day did the VFL pay MCG?
|
SELECT "Date" FROM table_32879 WHERE "Venue" = 'mcg'
|
SELECT "Date" FROM "table_32879" WHERE "Venue" = 'mcg'
| 0.052734 |
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
|
How many accounts for different statement details? Draw a bar chart, order in ascending by the y-axis.
|
SELECT Statement_Details, COUNT(Statement_Details) FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details ORDER BY COUNT(Statement_Details)
|
SELECT "Statement_Details", COUNT("Statement_Details") FROM "Accounts" AS "T1" JOIN "Statements" AS "T2" ON "T1"."Statement_ID" = "T2"."Statement_ID" GROUP BY "Statement_Details" ORDER BY COUNT("Statement_Details") NULLS FIRST
| 0.220703 |
CREATE TABLE table_17328 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
What was the attendance on March 17?
|
SELECT "Location Attendance" FROM table_17328 WHERE "Date" = 'March 17'
|
SELECT "Location Attendance" FROM "table_17328" WHERE "Date" = 'March 17'
| 0.071289 |
CREATE TABLE table_64348 ("Place" FLOAT, "Team" TEXT, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" FLOAT)
|
how many times is the team tauro and played less than 18?
|
SELECT COUNT("Place") FROM table_64348 WHERE "Team" = 'tauro' AND "Played" < '18'
|
SELECT COUNT("Place") FROM "table_64348" WHERE "Played" < '18' AND "Team" = 'tauro'
| 0.081055 |
CREATE TABLE table_57791 ("Name" TEXT, "Power" TEXT, "Torque" TEXT, "Size" TEXT, "Engine code" TEXT, "0\\u2013100km/h , s" FLOAT, "Top speed" TEXT, "Years" TEXT)
|
What is the power of the engine with an engine code m44b19?
|
SELECT "Power" FROM table_57791 WHERE "Engine code" = 'm44b19'
|
SELECT "Power" FROM "table_57791" WHERE "Engine code" = 'm44b19'
| 0.0625 |
CREATE TABLE table_15550 ("Ensemble" TEXT, "Gold Medals" FLOAT, "Silver Medals" FLOAT, "Bronze Medals" FLOAT, "Total Medals" FLOAT)
|
Name the total number of bronze medals when gold medals was 2, total medals more than 4 and silver medals less than 5
|
SELECT COUNT("Bronze Medals") FROM table_15550 WHERE "Gold Medals" = '2' AND "Total Medals" > '4' AND "Silver Medals" < '5'
|
SELECT COUNT("Bronze Medals") FROM "table_15550" WHERE "Gold Medals" = '2' AND "Silver Medals" < '5' AND "Total Medals" > '4'
| 0.12207 |
CREATE TABLE table_27963 ("Date" TEXT, "Origin time" TEXT, "Epicentre ( Lat. , S ) " TEXT, "Epicentre ( Long. , E ) " TEXT, "Local magnitude" TEXT, "Location" TEXT)
|
Where was the quake that began at 14:07?
|
SELECT "Location" FROM table_27963 WHERE "Origin time" = '14:07'
|
SELECT "Location" FROM "table_27963" WHERE "Origin time" = '14:07'
| 0.064453 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE month (month_number INT, month_name 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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 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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
|
does DL have an early afternoon flight from BOSTON to SAN FRANCISCO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (((flight.departure_time <= 1200 AND flight.departure_time >= 1400) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'DL'
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'DL' AND "flight"."departure_time" <= 1200 AND "flight"."departure_time" >= 1400 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON'
| 0.607422 |
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