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<table0>[table_20430] { <col0>[Episode]:[Number] <col1>[real]:[Air] <col2>[Date]:[text] <col3>[Guest]:[Host] <col4>[text]:[Musical] <col5>[Guest]:[Song] <col6>[performed]:[text] <col7>[knows]:[guest] <col8>[host]:[Panelists] <col9>[text]:[Coat] <col10>[Cash]:[Wearing] <col11>[Celebrity]:[text] }

SELECT "Who `<col7>` the most about the guest host? Panelists" FROM `<table0>` WHERE "Air Date" = '8 June 2008'

Who was on the Who knows about the host panel on 8 June 2008?

<table0>[Has_amenity] { <col0>[dormid]:[INTEGER] <col1>[amenid]:[INTEGER] } <table1>[Dorm_amenity] { <col0>[amenid]:[INTEGER] <col1>[amenity_name]:[VARCHAR] } <table2>[Lives_in] { <col0>[stuid]:[INTEGER] <col1>[dormid]:[INTEGER] <col2>[room_number]:[INTEGER] } <table3>[Student] { <col0>[StuID]:[INTEGER] <col1>[LName]:[VARCHAR] <col2>[Fname]:[VARCHAR] <col3>[Age]:[INTEGER] <col4>[Sex]:[VARCHAR] <col5>[Major]:[INTEGER] <col6>[Advisor]:[INTEGER] <col7>[city_code]:[VARCHAR] } <table4>[Dorm] { <col0>[dormid]:[INTEGER] <col1>[dorm_name]:[VARCHAR] <col2>[student_capacity]:[INTEGER] <col3>[gender]:[VARCHAR] }

SELECT dorm_name, COUNT( * ) FROM `<table3>` AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T1.Age > 20 GROUP BY T3.dorm_name

Find the number of students who is older than 20 in each dorm. Plot them as bar chart.

<table0>[table_9988] { <col0>[Year]:[real] <col1>[Film]:[text] <col2>[Song]:[text] <col3>[Composer]:[text] <col4>[Language]:[text] }

SELECT "Song" FROM `<table0>` WHERE "Composer" = 'v. selvaganesh' AND "Year" > '2010'

What song was composed by V. Selvaganesh later than 2010?

<table0>[Posts] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table1>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table2>[ReviewTaskStates] { <col0>[number]:[text] <col1>[Description]:[text] } <table3>[PostFeedback] { <col0>[number]:[PostId] <col1>[number]:[IsAnonymous] <col2>[boolean]:[VoteTypeId] <col3>[number]:[CreationDate] } <table4>[ReviewRejectionReasons] { <col0>[number]:[text] <col1>[Description]:[text] <col2>[PostTypeId]:[number] } <table5>[PostsWithDeleted] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table6>[VoteTypes] { <col0>[number]:[text] } <table7>[ReviewTaskResultTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table8>[ReviewTasks] { <col0>[number]:[ReviewTaskTypeId] <col1>[number]:[CreationDate] <col2>[time]:[DeletionDate] <col3>[time]:[ReviewTaskStateId] <col4>[number]:[PostId] <col5>[number]:[SuggestedEditId] <col6>[number]:[CompletedByReviewTaskId] } <table9>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table10>[Tags] { <col0>[number]:[TagName] <col1>[text]:[Count] <col2>[number]:[ExcerptPostId] <col3>[number]:[WikiPostId] } <table11>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table12>[PostNotices] { <col0>[number]:[PostId] <col1>[number]:[PostNoticeTypeId] <col2>[number]:[CreationDate] <col3>[time]:[DeletionDate] <col4>[time]:[ExpiryDate] <col5>[time]:[Body] <col6>[text]:[OwnerUserId] <col7>[number]:[DeletionUserId] } <table13>[Users] { <col0>[number]:[Reputation] <col1>[number]:[CreationDate] <col2>[time]:[DisplayName] <col3>[text]:[LastAccessDate] <col4>[time]:[WebsiteUrl] <col5>[text]:[Location] <col6>[text]:[AboutMe] <col7>[text]:[Views] <col8>[number]:[UpVotes] <col9>[number]:[DownVotes] <col10>[number]:[ProfileImageUrl] <col11>[text]:[EmailHash] <col12>[text]:[AccountId] } <table14>[PostTags] { <col0>[PostId]:[number] <col1>[TagId]:[number] } <table15>[TagSynonyms] { <col0>[number]:[SourceTagName] <col1>[text]:[TargetTagName] <col2>[text]:[CreationDate] <col3>[time]:[OwnerUserId] <col4>[number]:[AutoRenameCount] <col5>[number]:[LastAutoRename] <col6>[time]:[Score] <col7>[number]:[ApprovedByUserId] <col8>[number]:[ApprovalDate] } <table16>[Votes] { <col0>[number]:[PostId] <col1>[number]:[VoteTypeId] <col2>[number]:[UserId] <col3>[number]:[CreationDate] <col4>[time]:[BountyAmount] } <table17>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boolean] } <table18>[CloseAsOffTopicReasonTypes] { <col0>[number]:[IsUniversal] <col1>[boolean]:[InputTitle] <col2>[text]:[MarkdownInputGuidance] <col3>[text]:[MarkdownPostOwnerGuidance] <col4>[text]:[MarkdownPrivilegedUserGuidance] <col5>[text]:[MarkdownConcensusDescription] <col6>[text]:[CreationDate] <col7>[time]:[CreationModeratorId] <col8>[number]:[ApprovalDate] <col9>[time]:[ApprovalModeratorId] <col10>[number]:[DeactivationDate] <col11>[time]:[DeactivationModeratorId] } <table19>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time]:[CloseReasonTypeId] <col4>[number]:[CloseAsOffTopicReasonTypeId] <col5>[number]:[DuplicateOfQuestionId] <col6>[number]:[BelongsOnBaseHostAddress] } <table20>[Comments] { <col0>[number]:[PostId] <col1>[number]:[Score] <col2>[number]:[Text] <col3>[text]:[CreationDate] <col4>[time]:[UserDisplayName] <col5>[text]:[UserId] <col6>[number]:[ContentLicense] } <table21>[PostHistory] { <col0>[number]:[PostHistoryTypeId] <col1>[number]:[PostId] <col2>[number]:[RevisionGUID] <col3>[CreationDate]:[time] <col4>[UserId]:[number] <col5>[UserDisplayName]:[text] <col6>[Comment]:[text] <col7>[Text]:[text] <col8>[ContentLicense]:[text] } <table22>[SuggestedEdits] { <col0>[number]:[PostId] <col1>[number]:[CreationDate] <col2>[time]:[ApprovalDate] <col3>[time]:[RejectionDate] <col4>[time]:[OwnerUserId] <col5>[number]:[Comment] <col6>[text]:[Text] <col7>[text]:[Title] <col8>[text]:[Tags] <col9>[text]:[RevisionGUID] } <table23>[PostHistoryTypes] { <col0>[number]:[text] } <table24>[PostNoticeTypes] { <col0>[number]:[ClassId] <col1>[number]:[text] <col2>[Body]:[text] <col3>[IsHidden]:[boolean] <col4>[Predefined]:[boolean] <col5>[PostNoticeDurationId]:[number] } <table25>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table26>[PostLinks] { <col0>[number]:[CreationDate] <col1>[time]:[PostId] <col2>[number]:[RelatedPostId] <col3>[number]:[LinkTypeId] } <table27>[PostTypes] { <col0>[number]:[text] } <table28>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] }

SELECT `<table13>`.Id, COUNT( Posts.Id ) FROM `<table13>` LEFT JOIN Posts ON `<table13>`.Id = Posts.OwnerUserId WHERE Posts.DeletionDate IS NULL AND PostTypeId = 1 GROUP BY `<table13>`.Id

Users with most deleted questions.

<table0>[table_name_17] { <col0>[result]:[VARCHAR] <col1>[week]:[VARCHAR] <col2>[opponent]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` < 16 AND `<col2>` = "san francisco 49ers"

What was the result of the game against San Francisco 49ers before week 16?

<table0>[toronto_buildings] { <col0>[certification]:[VARCHAR] <col1>[sqft]:[INT] }

SELECT MAX( `<col1>` ) FROM `<table0>` WHERE `<col0>` = 'LEED';

What is the maximum square footage of a green-certified building in Toronto?

<table0>[table_2294] { <col0>[series]:[real] <col1>[season]:[real] <col2>[Title]:[text] <col3>[Directedby]:[text] <col4>[Writtenby]:[text] <col5>[Originalairdate]:[text] <col6>[Production]:[code] <col7>[text]:[viewers] <col8>[million]:[text] }

SELECT "Directedby" FROM `<table0>` WHERE "Title" = 'Andare Pescare'

Who directed the episode titled 'Andare Pescare'?

<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table3>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table4>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] }

SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN lab ON `<table2>`.hadm_id = lab.hadm_id WHERE `<table2>`.dob_year < "2090" AND lab.fluid = "Cerebrospinal Fluid ( CSF )"

Find the number of patients who were born before 2090 and were ordered a csf lab test.

<table0>[Programs] { <col0>[ProgramID]:[INT] <col1>[ProgramName]:[TEXT] } <table1>[Volunteers] { <col0>[VolunteerID]:[INT] <col1>[ProgramID]:[INT] <col2>[Hours]:[INT] <col3>[VolunteerDate]:[DATE] }

SELECT `<table0>`.ProgramName, SUM( Volunteers.Hours ) AS TotalHours FROM `<table0>` JOIN Volunteers ON `<table0>`.ProgramID = Volunteers.ProgramID WHERE VolunteerDate >= DATEADD( year, -1, GETDATE( ) ) GROUP BY `<table0>`.ProgramName ORDER BY TotalHours DESC LIMIT 3;

Find the top 3 programs with the most volunteer hours in the past year, and the total volunteer hours for each program.

<table0>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table1>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table2>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table3>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table4>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table5>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table6>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table7>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table8>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table9>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table10>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table11>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table12>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table13>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table14>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table15>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table16>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] }

SELECT MAX( `<table2>`.valuenum ) FROM `<table2>` WHERE `<table2>`.hadm_id IN ( SELECT `<table13>`.hadm_id FROM `<table13>` WHERE `<table13>`.subject_id = 19412 ) AND `<table2>`.itemid IN ( SELECT `<table5>`.itemid FROM `<table5>` WHERE `<table5>`.label = 'myelocytes' ) GROUP BY STRFTIME( '%y', `<table2>`.charttime )

what is the yearly maximum amount of myelocytes patient 19412 has?

<table0>[subjects] { <col0>[subject_id]:[number] <col1>[subject_name]:[text] } <table1>[course_authors_and_tutors] { <col0>[author_id]:[number] <col1>[author_tutor_atb]:[text] <col2>[login_name]:[text] <col3>[password]:[text] <col4>[personal_name]:[text] <col5>[middle_name]:[text] <col6>[family_name]:[text] <col7>[gender_mf]:[text] <col8>[address_line_1]:[text] } <table2>[student_course_enrolment] { <col0>[registration_id]:[number] <col1>[student_id]:[number] <col2>[course_id]:[number] <col3>[date_of_enrolment]:[time] <col4>[date_of_completion]:[time] } <table3>[courses] { <col0>[course_id]:[number] <col1>[author_id]:[number] <col2>[subject_id]:[number] <col3>[course_name]:[text] <col4>[course_description]:[text] } <table4>[students] { <col0>[student_id]:[number] <col1>[date_of_registration]:[time] <col2>[date_of_latest_logon]:[time] <col3>[login_name]:[text] <col4>[password]:[text] <col5>[personal_name]:[text] <col6>[middle_name]:[text] <col7>[family_name]:[text] } <table5>[student_tests_taken] { <col0>[registration_id]:[number] <col1>[date_test_taken]:[time] <col2>[test_result]:[text] }

SELECT personal_name, `<col7>` FROM `<table4>` ORDER BY `<col7>`

What are the personal names and family names of the students? Sort the result in alphabetical order of the family name.

<table0>[t_kc24] { <col0>[ACCOUNT_DASH_DATE]:[time] <col1>[ACCOUNT_DASH_FLG]:[number] <col2>[CASH_PAY]:[number] <col3>[CIVIL_SUBSIDY]:[number] <col4>[CKC102]:[number] <col5>[CLINIC_ID]:[text] <col6>[CLINIC_SLT_DATE]:[time] <col7>[COMP_ID]:[text] <col8>[COM_ACC_PAY]:[number] <col9>[COM_PAY]:[number] <col10>[DATA_ID]:[text] <col11>[ENT_ACC_PAY]:[number] <col12>[ENT_PAY]:[number] <col13>[FLX_MED_ORG_ID]:[text] <col14>[ILL_PAY]:[number] <col15>[INSURED_IDENTITY]:[number] <col16>[INSURED_STS]:[text] <col17>[INSU_TYPE]:[text] <col18>[LAS_OVE_PAY]:[number] <col19>[MED_AMOUT]:[number] <col20>[MED_SAFE_PAY_ID]:[text] <col21>[MED_TYPE]:[number] <col22>[OLDC_FUND_PAY]:[number] <col23>[OUT_HOSP_DATE]:[time] <col24>[OVERALL_CD_ORG]:[text] <col25>[OVERALL_CD_PERSON]:[text] <col26>[OVE_ADD_PAY]:[number] <col27>[OVE_PAY]:[number] <col28>[PERSON_ID]:[text] <col29>[PER_ACC_PAY]:[number] <col30>[PER_EXP]:[number] <col31>[PER_SOL]:[number] <col32>[RECEIVER_DEAL_ID]:[text] <col33>[RECEIVER_OFFSET_ID]:[text] <col34>[RECEIVER_REVOKE_ID]:[text] <col35>[RECIPE_BILL_ID]:[text] <col36>[REF_SLT_FLG]:[number] <col37>[REIMBURS_FLG]:[number] <col38>[SENDER_DEAL_ID]:[text] <col39>[SENDER_OFFSET_ID]:[text] <col40>[SENDER_REVOKE_ID]:[text] <col41>[SPE_FUND_PAY]:[number] <col42>[SUP_ADD_PAY]:[number] <col43>[SYNC_TIME]:[time] <col44>[TRADE_TYPE]:[number] } <table1>[t_kc21_t_kc24] { <col0>[MED_CLINIC_ID]:[text] <col1>[MED_SAFE_PAY_ID]:[number] } <table2>[t_kc22] { <col0>[number]:[CHA_ITEM_LEV] <col1>[number]:[DATA_ID] <col2>[text]:[DIRE_TYPE] <col3>[number]:[DOSE_FORM] <col4>[text]:[DOSE_UNIT] <col5>[text]:[EACH_DOSAGE] <col6>[text]:[EXP_OCC_DATE] <col7>[time]:[FLX_MED_ORG_ID] <col8>[text]:[FXBZ] <col9>[number]:[HOSP_DOC_CD] <col10>[text]:[HOSP_DOC_NM] <col11>[text]:[MED_CLINIC_ID] <col12>[text]:[MED_DIRE_CD] <col13>[text]:[MED_DIRE_NM] <col14>[text]:[MED_EXP_BILL_ID] <col15>[text]:[MED_EXP_DET_ID] <col16>[text]:[MED_INV_ITEM_TYPE] <col17>[text]:[MED_ORG_DEPT_CD] <col18>[text]:[MED_ORG_DEPT_NM] <col19>[text]:[OVERALL_CD_ORG] <col20>[text]:[OVERALL_CD_PERSON] <col21>[text]:[OVE_SELF_AMO] <col22>[number]:[PRESCRIPTION_CODE] <col23>[text]:[PRESCRIPTION_ID] <col24>[text]:[QTY] <col25>[number]:[RECIPE_BILL_ID] <col26>[text]:[REF_STA_FLG] <col27>[number]:[REIMBURS_TYPE] <col28>[number]:[REMOTE_SETTLE_FLG] <col29>[text]:[RER_SOL] <col30>[number]:[SELF_PAY_AMO] <col31>[number]:[SELF_PAY_PRO] <col32>[number]:[SOC_SRT_DIRE_CD] <col33>[text]:[SOC_SRT_DIRE_NM] <col34>[text]:[SPEC] <col35>[text]:[STA_DATE] <col36>[time]:[STA_FLG] <col37>[number]:[SYNC_TIME] <col38>[time]:[TRADE_TYPE] <col39>[number]:[UNIVALENT] <col40>[number]:[UP_LIMIT_AMO] <col41>[number]:[USE_FRE] <col42>[text]:[VAL_UNIT] } <table3>[t_kc21] { <col0>[CLINIC_ID]:[text] <col1>[CLINIC_TYPE]:[text] <col2>[COMP_ID]:[text] <col3>[DATA_ID]:[text] <col4>[DIFF_PLACE_FLG]:[number] <col5>[FERTILITY_STS]:[number] <col6>[FLX_MED_ORG_ID]:[text] <col7>[HOSP_LEV]:[number] <col8>[HOSP_STS]:[number] <col9>[IDENTITY_CARD]:[text] <col10>[INPT_AREA_BED]:[text] <col11>[INSURED_IDENTITY]:[number] <col12>[INSURED_STS]:[text] <col13>[INSU_TYPE]:[text] <col14>[IN_DIAG_DIS_CD]:[text] <col15>[IN_DIAG_DIS_NM]:[text] <col16>[IN_HOSP_DATE]:[time] <col17>[IN_HOSP_DAYS]:[number] <col18>[MAIN_COND_DES]:[text] <col19>[MED_AMOUT]:[number] <col20>[MED_CLINIC_ID]:[text] <col21>[MED_ORG_DEPT_CD]:[text] <col22>[MED_ORG_DEPT_NM]:[text] <col23>[MED_SER_ORG_NO]:[text] <col24>[MED_TYPE]:[number] <col25>[OUT_DIAG_DIS_CD]:[text] <col26>[OUT_DIAG_DIS_NM]:[text] <col27>[OUT_DIAG_DOC_CD]:[text] <col28>[OUT_DIAG_DOC_NM]:[text] <col29>[OUT_HOSP_DATE]:[time] <col30>[OVERALL_CD_ORG]:[text] <col31>[OVERALL_CD_PERSON]:[text] <col32>[PERSON_AGE]:[number] <col33>[PERSON_ID]:[text] <col34>[PERSON_NM]:[text] <col35>[PERSON_SEX]:[number] <col36>[REIMBURSEMENT_FLG]:[number] <col37>[REMOTE_SETTLE_FLG]:[text] <col38>[SERVANT_FLG]:[text] <col39>[SOC_SRT_CARD]:[text] <col40>[SYNC_TIME]:[time] <col41>[TRADE_TYPE]:[number] }

SELECT `<table3>`.MED_AMOUT FROM `<table3>` WHERE `<table3>`.MED_CLINIC_ID = '89101528963'

医疗就诊89101528963的总医疗费是多少钱？

<table0>[table_name_8] { <col0>[start]:[VARCHAR] <col1>[stage]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 11

What is the start of stage 11?

<table0>[basketball_match] { <col0>[Team_ID]:[int] <col1>[School_ID]:[int] <col2>[Team_Name]:[text] <col3>[ACC_Regular_Season]:[text] <col4>[ACC_Percent]:[text] <col5>[ACC_Home]:[text] <col6>[ACC_Road]:[text] <col7>[All_Games]:[text] <col8>[All_Games_Percent]:[int] <col9>[All_Home]:[text] <col10>[All_Road]:[text] <col11>[All_Neutral]:[text] } <table1>[university] { <col0>[School_ID]:[int] <col1>[School]:[text] <col2>[Location]:[text] <col3>[Founded]:[real] <col4>[Affiliation]:[text] <col5>[Enrollment]:[real] <col6>[Nickname]:[text] <col7>[Primary_conference]:[text] }

SELECT ACC_Road, AVG( `<col1>` ) FROM `<table0>` GROUP BY `<col6>` ORDER BY AVG( `<col1>` )

A bar chart shows the distribution of ACC_Road and the average of School_ID , and group by attribute ACC_Road, list Y-axis in asc order.

<table0>[table_train_32] { <col0>[int]:[pregnancy_or_lactation] <col1>[bool]:[renal_disease] <col2>[bool]:[hemachromatosis] <col3>[bool]:[glucose_6_phosphate_dehydrogenase_deficiency_g6pd] <col4>[int]:[prisoners] <col5>[bool]:[NOUSE] }

SELECT * FROM `<table0>` WHERE hemachromatosis = 1

known hemachromatosis

<table0>[table_name_42] { <col0>[grid]:[INTEGER] <col1>[team]:[VARCHAR] <col2>[laps]:[VARCHAR] }

SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "germany" AND `<col2>` < 45

Which Grid is the lowest one that has a Team of germany, and Laps smaller than 45?

<table0>[deep_sea_expeditions] { <col0>[expedition_id]:[INT] <col1>[location]:[VARCHAR] <col2>[255]:[year] }

DELETE FROM `<table0>` WHERE year IS NULL;

Delete any records in the deep-sea expeditions table that do not include a year.

<table0>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table1>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table2>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table3>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table4>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table5>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table6>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table7>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table8>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table9>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table10>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table11>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table12>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table13>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table14>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table15>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table16>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] }

SELECT `<table3>`.charttime FROM `<table3>` WHERE `<table3>`.icustay_id IN ( SELECT `<table9>`.icustay_id FROM `<table9>` WHERE `<table9>`.hadm_id IN ( SELECT `<table6>`.hadm_id FROM `<table6>` WHERE `<table6>`.subject_id = 9566 ) ) AND `<table3>`.itemid IN ( SELECT `<table5>`.itemid FROM `<table5>` WHERE `<table5>`.label = 'heart rate' AND `<table5>`.linksto = '`<table3>`' ) AND `<table3>`.valuenum < 70.0 AND DATETIME( `<table3>`.charttime, 'start of day' ) = DATETIME( CURRENT_TIME( ), 'start of day', '-1 day' ) ORDER BY `<table3>`.charttime LIMIT 1

when was the first time patient 9566 measured its heart rate less than 70.0 in yesterday?

<table0>[CloseAsOffTopicReasonTypes] { <col0>[number]:[IsUniversal] <col1>[boolean]:[InputTitle] <col2>[text]:[MarkdownInputGuidance] <col3>[text]:[MarkdownPostOwnerGuidance] <col4>[text]:[MarkdownPrivilegedUserGuidance] <col5>[text]:[MarkdownConcensusDescription] <col6>[text]:[CreationDate] <col7>[time]:[CreationModeratorId] <col8>[number]:[ApprovalDate] <col9>[time]:[ApprovalModeratorId] <col10>[number]:[DeactivationDate] <col11>[time]:[DeactivationModeratorId] } <table1>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table2>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table3>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boolean] } <table4>[ReviewTaskResultTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table5>[PostHistoryTypes] { <col0>[number]:[text] } <table6>[Tags] { <col0>[number]:[TagName] <col1>[text]:[Count] <col2>[number]:[ExcerptPostId] <col3>[number]:[WikiPostId] } <table7>[ReviewTaskStates] { <col0>[number]:[text] <col1>[Description]:[text] } <table8>[Users] { <col0>[number]:[Reputation] <col1>[number]:[CreationDate] <col2>[time]:[DisplayName] <col3>[text]:[LastAccessDate] <col4>[time]:[WebsiteUrl] <col5>[text]:[Location] <col6>[text]:[AboutMe] <col7>[text]:[Views] <col8>[number]:[UpVotes] <col9>[number]:[DownVotes] <col10>[number]:[ProfileImageUrl] <col11>[text]:[EmailHash] <col12>[text]:[AccountId] } <table9>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table10>[PostsWithDeleted] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table11>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table12>[SuggestedEdits] { <col0>[number]:[PostId] <col1>[number]:[CreationDate] <col2>[time]:[ApprovalDate] <col3>[time]:[RejectionDate] <col4>[time]:[OwnerUserId] <col5>[number]:[Comment] <col6>[text]:[Text] <col7>[text]:[Title] <col8>[text]:[Tags] <col9>[text]:[RevisionGUID] } <table13>[ReviewRejectionReasons] { <col0>[number]:[text] <col1>[Description]:[text] <col2>[PostTypeId]:[number] } <table14>[VoteTypes] { <col0>[number]:[text] } <table15>[PostNotices] { <col0>[number]:[PostId] <col1>[number]:[PostNoticeTypeId] <col2>[number]:[CreationDate] <col3>[time]:[DeletionDate] <col4>[time]:[ExpiryDate] <col5>[time]:[Body] <col6>[text]:[OwnerUserId] <col7>[number]:[DeletionUserId] } <table16>[Comments] { <col0>[number]:[PostId] <col1>[number]:[Score] <col2>[number]:[Text] <col3>[text]:[CreationDate] <col4>[time]:[UserDisplayName] <col5>[text]:[UserId] <col6>[number]:[ContentLicense] } <table17>[TagSynonyms] { <col0>[number]:[SourceTagName] <col1>[text]:[TargetTagName] <col2>[text]:[CreationDate] <col3>[time]:[OwnerUserId] <col4>[number]:[AutoRenameCount] <col5>[number]:[LastAutoRename] <col6>[time]:[Score] <col7>[number]:[ApprovedByUserId] <col8>[number]:[ApprovalDate] } <table18>[Posts] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table19>[ReviewTasks] { <col0>[number]:[ReviewTaskTypeId] <col1>[number]:[CreationDate] <col2>[time]:[DeletionDate] <col3>[time]:[ReviewTaskStateId] <col4>[number]:[PostId] <col5>[number]:[SuggestedEditId] <col6>[number]:[CompletedByReviewTaskId] } <table20>[PostFeedback] { <col0>[number]:[PostId] <col1>[number]:[IsAnonymous] <col2>[boolean]:[VoteTypeId] <col3>[number]:[CreationDate] } <table21>[PostTags] { <col0>[PostId]:[number] <col1>[TagId]:[number] } <table22>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table23>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time]:[CloseReasonTypeId] <col4>[number]:[CloseAsOffTopicReasonTypeId] <col5>[number]:[DuplicateOfQuestionId] <col6>[number]:[BelongsOnBaseHostAddress] } <table24>[PostNoticeTypes] { <col0>[number]:[ClassId] <col1>[number]:[text] <col2>[Body]:[text] <col3>[IsHidden]:[boolean] <col4>[Predefined]:[boolean] <col5>[PostNoticeDurationId]:[number] } <table25>[Votes] { <col0>[number]:[PostId] <col1>[number]:[VoteTypeId] <col2>[number]:[UserId] <col3>[number]:[CreationDate] <col4>[time]:[BountyAmount] } <table26>[PostTypes] { <col0>[number]:[text] } <table27>[PostHistory] { <col0>[number]:[PostHistoryTypeId] <col1>[number]:[PostId] <col2>[number]:[RevisionGUID] <col3>[CreationDate]:[time] <col4>[UserId]:[number] <col5>[UserDisplayName]:[text] <col6>[Comment]:[text] <col7>[Text]:[text] <col8>[ContentLicense]:[text] } <table28>[PostLinks] { <col0>[number]:[CreationDate] <col1>[time]:[PostId] <col2>[number]:[RelatedPostId] <col3>[number]:[LinkTypeId] }

SELECT Title, Tags FROM `<table18>` WHERE Title LIKE 'WebRTC'

query all Post mentioned webrtc.

<table0>[marine_life] { <col0>[INT]:[name] <col1>[TEXT]:[location] <col2>[TEXT]:[depth] <col3>[FLOAT]:[INSERT] }

SELECT name, location FROM `<table0>` WHERE depth > 3000;

What are the names and locations of all marine life research stations deeper than 3000 meters?

<table0>[table_50135] { <col0>[Res]:[text] <col1>[Record]:[text] <col2>[Opponent]:[text] <col3>[Method]:[text] <col4>[Event]:[text] <col5>[Round]:[real] <col6>[Time]:[text] <col7>[Location]:[text] }

SELECT "Method" FROM `<table0>` WHERE "Round" = '1' AND "Record" = '6-3-1'

What method was used in the match that went to round 1, and had a 6-3-1 record?

<table0>[table_name_17] { <col0>[round]:[VARCHAR] <col1>[date]:[VARCHAR] <col2>[venue]:[VARCHAR] <col3>[result]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col2>` = "a" AND `<col3>` = "1-2" AND `<col1>` = "7 december 2004"

What is the round of the match at venue A with a result of 1-2 on 7 December 2004?

<table0>[IntelligenceGatheringOperations] { <col0>[operation_name]:[VARCHAR] <col1>[100]:[operation_type] <col2>[VARCHAR]:[location] <col3>[VARCHAR]:[start_date] <col4>[DATE]:[end_date] <col5>[DATE]:[INSERT] }

SELECT operation_name, operation_type, location, start_date, end_date FROM `<table0>` ORDER BY start_date DESC LIMIT 1;

What are the latest intelligence gathering operations in the 'IntelligenceGatheringOperations' table?

<table0>[state] { <col0>[StateCode]:[text] <col1>[State]:[text] <col2>[Region]:[text] } <table1>[callcenterlogs] { <col0>[Date]:[received] <col1>[date]:[Complaint] <col2>[text]:[rand] <col3>[client]:[text] <col4>[phonefinal]:[text] <col5>[vru]:[line] <col6>[text]:[call_id] <col7>[integer]:[priority] <col8>[integer]:[type] <col9>[text]:[outcome] <col10>[text]:[server] <col11>[text]:[ser_start] <col12>[text]:[ser_exit] <col13>[text]:[ser_time] } <table2>[client] { <col0>[client_id]:[text] <col1>[sex]:[text] <col2>[day]:[integer] <col3>[month]:[integer] <col4>[year]:[integer] <col5>[age]:[integer] <col6>[social]:[text] <col7>[text]:[middle] <col8>[text]:[text] <col9>[phone]:[text] <col10>[email]:[text] <col11>[address_1]:[text] <col12>[address_2]:[text] <col13>[city]:[text] <col14>[state]:[text] <col15>[zipcode]:[integer] <col16>[district_id]:[integer] } <table3>[district] { <col0>[district_id]:[integer] <col1>[city]:[text] <col2>[state_abbrev]:[text] <col3>[division]:[text] } <table4>[events] { <col0>[Date]:[received] <col1>[date]:[Product] <col2>[text]:[Sub] <col3>[product]:[text] <col4>[Issue]:[text] <col5>[Sub]:[issue] <col6>[text]:[Consumer] <col7>[complaint]:[narrative] <col8>[text]:[Tags] <col9>[text]:[Consumer] <col10>[consent]:[provided] <col11>[text]:[Submitted] <col12>[text]:[Date] <col13>[sent]:[company] <col14>[text]:[Company] <col15>[response]:[consumer] <col16>[text]:[Timely] <col17>[response]:[text] <col18>[Consumer]:[disputed] <col19>[text]:[Complaint] <col20>[text]:[Client_ID] } <table5>[reviews] { <col0>[Date]:[date] <col1>[Stars]:[integer] <col2>[Reviews]:[text] <col3>[Product]:[text] <col4>[district_id]:[integer] }

SELECT T1.first, T1.middle, T1.last FROM `<table2>` AS T1 INNER JOIN events AS T2 ON T1.`<table2>`_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer'

What is the full name of clients who have issue about balance transfer?

<table0>[table_203_394] { <col0>[number]:[title] <col1>[text]:[author] <col2>[text]:[date] <col3>[number]:[length] <col4>[first]:[edition] }

SELECT "title" FROM `<table0>` WHERE "date" < 1921

which title was published before 1921 ?

<table0>[CREATE] { <col0>[SCHEMA]:[exists] } <table1>[exists] { <col0>[blockchain]:[digital_assets] <col1>[asset_id]:[INT] <col2>[AUTO_INCREMENT]:[asset_name] <col3>[VARCHAR]:[255] <col4>[market_cap]:[DECIMAL] <col5>[PRIMARY]:[KEY] <col6>[asset_id]:[INSERT] <col7>[blockchain]:[digital_assets] <col8>[asset_name]:[market_cap] <col9>[VALUES]:[Bitcoin] <col10>[80000000000]:[Ethereum] }

DELETE FROM blockchain.digital_assets WHERE market_cap < 100000000;

Delete digital assets with a market cap below $100M from the database.

<table0>[candidate] { <col0>[Candidate_ID]:[int] <col1>[People_ID]:[int] <col2>[Poll_Source]:[text] <col3>[Date]:[text] <col4>[Support_rate]:[real] <col5>[Consider_rate]:[real] <col6>[Oppose_rate]:[real] <col7>[Unsure_rate]:[real] } <table1>[people] { <col0>[People_ID]:[int] <col1>[Sex]:[text] <col2>[text]:[Date_of_Birth] <col3>[text]:[Height] <col4>[real]:[Weight] }

SELECT Date_of_Birth, Weight FROM `<table1>` ORDER BY Date_of_Birth DESC

Give me the comparison about Weight over the Date_of_Birth , list from high to low by the bar.

<table0>[table_59589] { <col0>[text]:[mail] <col1>[server]:[text] <col2>[Faxing]:[text] <col3>[Instant]:[messaging] <col4>[text]:[Telephony] <col5>[text]:[Videoconferencing] <col6>[text]:[Web] <col7>[conferencing]:[text] <col8>[Data]:[conferencing] <col9>[text]:[Application] <col10>[sharing]:[text] <col11>[Electronic]:[meeting] <col12>[system]:[text] <col13>[Synchronous]:[conferencing] }

SELECT "Videoconferencing" FROM `<table0>` WHERE "Data conferencing" = 'no' AND "Web conferencing" = 'no'

What is Videoconferencing, when Data Conferencing is 'No', and when Web Conferencing is 'No'?

<table0>[table_5907] { <col0>[Season]:[text] <col1>[real]:[GWS] <col2>[text]:[GWS] <col3>[text]:[real] }

SELECT COUNT( "W( OT )" ) FROM `<table0>` WHERE "W( GWS )*" = '0' AND "Season" = '2009–10' AND "L( OT )" < '0'

How many wins in OT are associated with a W(GWS)* of 0, a Season of 2009 10, and a L(OT) less than 0?

<table0>[wells] { <col0>[INT]:[region] <col1>[VARCHAR]:[255] <col2>[well_type]:[VARCHAR] <col3>[255]:[oil_production] <col4>[DECIMAL]:[INSERT] }

SELECT MAX( oil_production ) as max_oil_production FROM `<table0>` WHERE region = 'Middle East';

What is the maximum oil production rate for wells in the Middle East?

<table0>[table_name_93] { <col0>[opponent]:[VARCHAR] <col1>[game]:[VARCHAR] <col2>[record]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` > 72 AND `<col2>` = "39-27-9"

Who did the Rangers play in a game that was later than 72 when the team record was 39-27-9?

<table0>[table_test_6] { <col0>[int]:[scr] <col1>[int]:[anemia] <col2>[bool]:[blood_hemoglobin] <col3>[int]:[bleeding] <col4>[int]:[hemorrhagic_diseases] <col5>[bool]:[stroke] <col6>[bool]:[blood_platelet_counts] <col7>[int]:[trauma] <col8>[bool]:[renal_disease] <col9>[bool]:[hematocrit_hct] <col10>[float]:[hepatic_disease] <col11>[bool]:[polyglobulia] <col12>[bool]:[estimated_glomerular_filtration_rate_egfr] <col13>[int]:[non_ischemic_stroke] <col14>[bool]:[surgery] <col15>[bool]:[NOUSE] }

SELECT * FROM `<table0>` WHERE renal_disease = 1 OR estimated_glomerular_filtration_rate_egfr < 15

renal insufficiency ( egfr under 15 ml / min )

<table0>[Categories] { <col0>[CategoryID]:[integer] <col1>[CategoryName]:[text] <col2>[Description]:[text] } <table1>[Customers] { <col0>[CustomerID]:[integer] <col1>[CustomerName]:[text] <col2>[ContactName]:[text] <col3>[Address]:[text] <col4>[City]:[text] <col5>[PostalCode]:[text] <col6>[Country]:[text] } <table2>[Employees] { <col0>[EmployeeID]:[integer] <col1>[LastName]:[text] <col2>[FirstName]:[text] <col3>[BirthDate]:[date] <col4>[Photo]:[text] <col5>[Notes]:[text] } <table3>[Shippers] { <col0>[ShipperID]:[integer] <col1>[ShipperName]:[text] <col2>[Phone]:[text] } <table4>[Suppliers] { <col0>[SupplierID]:[integer] <col1>[SupplierName]:[text] <col2>[ContactName]:[text] <col3>[Address]:[text] <col4>[City]:[text] <col5>[PostalCode]:[text] <col6>[Country]:[text] <col7>[Phone]:[text] } <table5>[Products] { <col0>[ProductID]:[integer] <col1>[ProductName]:[text] <col2>[SupplierID]:[integer] <col3>[CategoryID]:[integer] <col4>[Unit]:[text] <col5>[Price]:[real] } <table6>[Orders] { <col0>[OrderID]:[integer] <col1>[CustomerID]:[integer] <col2>[EmployeeID]:[integer] <col3>[OrderDate]:[datetime] <col4>[ShipperID]:[integer] } <table7>[OrderDetails] { <col0>[OrderDetailID]:[integer] <col1>[OrderID]:[integer] <col2>[ProductID]:[integer] <col3>[Quantity]:[integer] }

SELECT T2.RegionDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T1.TerritoryDescription = 'Hoffman Estates'

Which region does Hoffman Estates belong to?

<table0>[table_65347] { <col0>[Tie]:[text] <col1>[Home]:[team] <col2>[text]:[Score] <col3>[text]:[Away] <col4>[team]:[text] <col5>[Date]:[text] }

SELECT "Score" FROM `<table0>` WHERE "Tie no" = 'replay' AND "Away team" = 'york city'

What is the score when the Tie no is replay, and the away team is York City?

<table0>[table_26593762_2] { <col0>[team]:[VARCHAR] }

SELECT `<col0>` AS captain FROM `<table0>` WHERE `<col0>` = "Cardiff City"

Who is the captain of Cardiff City?

<table0>[factories] { <col0>[factory_id]:[INT] <col1>[name]:[TEXT] <col2>[total_employees]:[INT] <col3>[avg_salary]:[INT] }

SELECT name, total_employees * avg_salary AS total_salaries FROM factories;

How many employees work in each factory and what are their total salaries?

<table0>[total_energy_production] { <col0>[source]:[VARCHAR] <col1>[255]:[month] <col2>[INT]:[year] <col3>[INT]:[production] }

SELECT source, production FROM `<table0>` WHERE year = 2021 AND production > 0.5 * ( SELECT SUM( production ) FROM `<table0>` WHERE year = 2021 );

Which renewable energy sources contributed more than 50% of the total energy production in any month of 2021?

<table0>[Dish] { <col0>[integer]:[name] <col1>[text]:[description] <col2>[text]:[menus_appeared] <col3>[integer]:[times_appeared] <col4>[integer]:[first_appeared] <col5>[integer]:[last_appeared] <col6>[integer]:[lowest_price] <col7>[real]:[highest_price] } <table1>[Menu] { <col0>[integer]:[name] <col1>[text]:[sponsor] <col2>[text]:[event] <col3>[text]:[venue] <col4>[text]:[place] <col5>[text]:[physical_description] <col6>[text]:[occasion] <col7>[text]:[notes] <col8>[text]:[call_number] <col9>[text]:[keywords] <col10>[text]:[language] <col11>[text]:[date] <col12>[date]:[location] <col13>[text]:[location_type] <col14>[text]:[currency] <col15>[text]:[currency_symbol] <col16>[text]:[status] <col17>[text]:[page_count] <col18>[integer]:[dish_count] } <table2>[MenuPage] { <col0>[integer]:[menu_id] <col1>[integer]:[page_number] <col2>[integer]:[image_id] <col3>[real]:[full_height] <col4>[integer]:[full_width] <col5>[integer]:[uuid] } <table3>[MenuItem] { <col0>[integer]:[menu_page_id] <col1>[integer]:[price] <col2>[real]:[high_price] <col3>[real]:[dish_id] <col4>[integer]:[created_at] <col5>[text]:[updated_at] <col6>[text]:[xpos] <col7>[real]:[ypos] }

SELECT location FROM `<table1>` WHERE id = 12472

Where is the place that menu with ID 12472 was created for?

<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table2>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table3>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table4>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] }

SELECT COUNT( DISTINCT `<table3>`.subject_id ) FROM `<table3>` WHERE `<table3>`.expire_flag = "0" AND `<table3>`.dob_year < "2083"

what is the number of patients whose death status is 0 and year of birth is less than 2083?

<table0>[sales] { <col0>[drug_name]:[TEXT] <col1>[quarter]:[INT] <col2>[year]:[INT] <col3>[revenue]:[FLOAT] }

SELECT SUM( `<col3>` ) FROM `<table0>` WHERE `<col0>` = 'DrugA' AND `<col1>` = 1 AND `<col2>` = 2020;

What was the total revenue for 'DrugA' in Q1 2020?

<table0>[table_43156] { <col0>[Week]:[real] <col1>[Date]:[text] <col2>[Time]:[text] <col3>[Opponent]:[text] <col4>[Result]:[text] <col5>[Record]:[text] <col6>[Game]:[site] }

SELECT "Date" FROM `<table0>` WHERE "Opponent" = 'new england patriots'

What date has new england patriots as the opponent?

<table0>[creative_ai] { <col0>[app_id]:[INT] <col1>[app_name]:[TEXT] <col2>[release_year]:[INT] <col3>[region]:[TEXT] <col4>[satisfaction_score]:[INT] }

SELECT region, AVG( `<col4>` ) FROM `<table0>` WHERE `<col2>` = 2020 GROUP BY region;

What is the average satisfaction score for creative AI applications, grouped by region, for applications released in 2020?

<table0>[ExcavationSites] { <col0>[SiteID]:[varchar] <col1>[SiteName]:[varchar] <col2>[ArtifactPeriod]:[varchar] }

SELECT SiteID, `<col1>` FROM `<table0>` WHERE `<col2>` = 'Bronze Age';

Find excavation sites with 'Bronze Age' artifacts.

<table0>[HealthEquityMetrics] { <col0>[MetricID]:[INT] <col1>[Country]:[VARCHAR] <col2>[255]:[Score] <col3>[INT]:[INSERT] }

SELECT Country, AVG( Score ) as AverageScore FROM `<table0>` GROUP BY Country;

What is the average health equity metric score in each country?

<table0>[table_32631] { <col0>[FAT16]:[text] <col1>[FAT32]:[text] <col2>[HPFS]:[text] <col3>[ISO]:[9660] <col4>[text]:[NTFS] <col5>[text]:[ReFS] }

SELECT "NTFS" FROM `<table0>` WHERE "FAT32" = 'yes' AND "ReFS" = 'no'

Which NTFS has a yes for FAT32 and a no for ReFS?

<table0>[companies] { <col0>[INT]:[name] <col1>[TEXT]:[country] <col2>[TEXT]:[num_workforce_programs] <col3>[INT]:[INSERT] }

SELECT MAX( num_workforce_programs ) AS max_programs FROM `<table0>` WHERE country IN ( 'USA', 'Canada', 'Mexico', 'Brazil' );

What is the maximum number of workforce development programs offered by companies in a single country?

<table0>[table_20722805_1] { <col0>[parish]:[VARCHAR] <col1>[mccain_percentage]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "45.37%"

What parish did McCain have 45.37% of the votes?

<table0>[table_name_12] { <col0>[round]:[VARCHAR] <col1>[position]:[VARCHAR] <col2>[player]:[VARCHAR] }

SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "linebacker" AND `<col2>` = "blane smith"

How many rounds did Blane Smith play linebacker?

<table0>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table1>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table2>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table3>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table4>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table5>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table6>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table7>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table8>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table9>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table10>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table11>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table12>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table13>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table14>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table15>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table16>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] }

SELECT COUNT( DISTINCT `<table8>`.hadm_id ) FROM `<table8>` WHERE `<table8>`.subject_id = 5544 AND DATETIME( `<table8>`.admittime, 'start of year' ) = DATETIME( CURRENT_TIME( ), 'start of year', '-0 year' )

count the number of times patient 5544 arrived at the hospital this year.

<table0>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table1>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table2>[CloseAsOffTopicReasonTypes] { <col0>[number]:[IsUniversal] <col1>[boolean]:[InputTitle] <col2>[text]:[MarkdownInputGuidance] <col3>[text]:[MarkdownPostOwnerGuidance] <col4>[text]:[MarkdownPrivilegedUserGuidance] <col5>[text]:[MarkdownConcensusDescription] <col6>[text]:[CreationDate] <col7>[time]:[CreationModeratorId] <col8>[number]:[ApprovalDate] <col9>[time]:[ApprovalModeratorId] <col10>[number]:[DeactivationDate] <col11>[time]:[DeactivationModeratorId] } <table3>[VoteTypes] { <col0>[number]:[text] } <table4>[Votes] { <col0>[number]:[PostId] <col1>[number]:[VoteTypeId] <col2>[number]:[UserId] <col3>[number]:[CreationDate] <col4>[time]:[BountyAmount] } <table5>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time]:[CloseReasonTypeId] <col4>[number]:[CloseAsOffTopicReasonTypeId] <col5>[number]:[DuplicateOfQuestionId] <col6>[number]:[BelongsOnBaseHostAddress] } <table6>[PostLinks] { <col0>[number]:[CreationDate] <col1>[time]:[PostId] <col2>[number]:[RelatedPostId] <col3>[number]:[LinkTypeId] } <table7>[Posts] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table8>[PostHistoryTypes] { <col0>[number]:[text] } <table9>[PostTags] { <col0>[PostId]:[number] <col1>[TagId]:[number] } <table10>[ReviewTaskResultTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table11>[TagSynonyms] { <col0>[number]:[SourceTagName] <col1>[text]:[TargetTagName] <col2>[text]:[CreationDate] <col3>[time]:[OwnerUserId] <col4>[number]:[AutoRenameCount] <col5>[number]:[LastAutoRename] <col6>[time]:[Score] <col7>[number]:[ApprovedByUserId] <col8>[number]:[ApprovalDate] } <table12>[PostNotices] { <col0>[number]:[PostId] <col1>[number]:[PostNoticeTypeId] <col2>[number]:[CreationDate] <col3>[time]:[DeletionDate] <col4>[time]:[ExpiryDate] <col5>[time]:[Body] <col6>[text]:[OwnerUserId] <col7>[number]:[DeletionUserId] } <table13>[SuggestedEdits] { <col0>[number]:[PostId] <col1>[number]:[CreationDate] <col2>[time]:[ApprovalDate] <col3>[time]:[RejectionDate] <col4>[time]:[OwnerUserId] <col5>[number]:[Comment] <col6>[text]:[Text] <col7>[text]:[Title] <col8>[text]:[Tags] <col9>[text]:[RevisionGUID] } <table14>[PostHistory] { <col0>[number]:[PostHistoryTypeId] <col1>[number]:[PostId] <col2>[number]:[RevisionGUID] <col3>[CreationDate]:[time] <col4>[UserId]:[number] <col5>[UserDisplayName]:[text] <col6>[Comment]:[text] <col7>[Text]:[text] <col8>[ContentLicense]:[text] } <table15>[PostFeedback] { <col0>[number]:[PostId] <col1>[number]:[IsAnonymous] <col2>[boolean]:[VoteTypeId] <col3>[number]:[CreationDate] } <table16>[ReviewTaskStates] { <col0>[number]:[text] <col1>[Description]:[text] } <table17>[Comments] { <col0>[number]:[PostId] <col1>[number]:[Score] <col2>[number]:[Text] <col3>[text]:[CreationDate] <col4>[time]:[UserDisplayName] <col5>[text]:[UserId] <col6>[number]:[ContentLicense] } <table18>[PostNoticeTypes] { <col0>[number]:[ClassId] <col1>[number]:[text] <col2>[Body]:[text] <col3>[IsHidden]:[boolean] <col4>[Predefined]:[boolean] <col5>[PostNoticeDurationId]:[number] } <table19>[Users] { <col0>[number]:[Reputation] <col1>[number]:[CreationDate] <col2>[time]:[DisplayName] <col3>[text]:[LastAccessDate] <col4>[time]:[WebsiteUrl] <col5>[text]:[Location] <col6>[text]:[AboutMe] <col7>[text]:[Views] <col8>[number]:[UpVotes] <col9>[number]:[DownVotes] <col10>[number]:[ProfileImageUrl] <col11>[text]:[EmailHash] <col12>[text]:[AccountId] } <table20>[PostTypes] { <col0>[number]:[text] } <table21>[Tags] { <col0>[number]:[TagName] <col1>[text]:[Count] <col2>[number]:[ExcerptPostId] <col3>[number]:[WikiPostId] } <table22>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table23>[ReviewRejectionReasons] { <col0>[number]:[text] <col1>[Description]:[text] <col2>[PostTypeId]:[number] } <table24>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table25>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table26>[PostsWithDeleted] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table27>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boolean] } <table28>[ReviewTasks] { <col0>[number]:[ReviewTaskTypeId] <col1>[number]:[CreationDate] <col2>[time]:[DeletionDate] <col3>[time]:[ReviewTaskStateId] <col4>[number]:[PostId] <col5>[number]:[SuggestedEditId] <col6>[number]:[CompletedByReviewTaskId] }

SELECT ph.PostId AS "post_link", ph.CreationDate AS "protected_date", CASE ph.UserId WHEN NULL THEN ph.UserDisplayName ELSE ph.UserId END AS "user_link" FROM `<table14>` AS ph WHERE ph.`<table14>`TypeId = 19 ORDER BY ph.PostId, ph.CreationDate

Ever Protected Questions, simple search.

<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table2>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table3>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table4>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] }

SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` WHERE `<table2>`.gender = "M" AND `<table2>`.diagnosis = "HYPERGLYCEMIA;HYPONATREMIA"

find the number of male patients whose primary disease is hyperglycemia;hyponatremia.

<table0>[song] { <col0>[artist_name]:[VARCHAR] <col1>[languages]:[VARCHAR] <col2>[rating]:[INTEGER] }

SELECT DISTINCT `<col0>` FROM `<table0>` WHERE `<col1>` = "english" EXCEPT SELECT DISTINCT `<col0>` FROM `<table0>` WHERE `<col2>` > 8

Find the names of the artists who have produced English songs but have never received rating higher than 8.

<table0>[Movie] { <col0>[YEAR]:[INTEGER] }

SELECT COUNT( * ) FROM `<table0>` WHERE `<col0>` < 2000

How many movies were made before 2000?

<table0>[ReviewRejectionReasons] { <col0>[number]:[text] <col1>[Description]:[text] <col2>[PostTypeId]:[number] } <table1>[VoteTypes] { <col0>[number]:[text] } <table2>[ReviewTaskResultTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table3>[PostNotices] { <col0>[number]:[PostId] <col1>[number]:[PostNoticeTypeId] <col2>[number]:[CreationDate] <col3>[time]:[DeletionDate] <col4>[time]:[ExpiryDate] <col5>[time]:[Body] <col6>[text]:[OwnerUserId] <col7>[number]:[DeletionUserId] } <table4>[Posts] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table5>[ReviewTaskStates] { <col0>[number]:[text] <col1>[Description]:[text] } <table6>[PostHistoryTypes] { <col0>[number]:[text] } <table7>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table8>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time]:[CloseReasonTypeId] <col4>[number]:[CloseAsOffTopicReasonTypeId] <col5>[number]:[DuplicateOfQuestionId] <col6>[number]:[BelongsOnBaseHostAddress] } <table9>[ReviewTasks] { <col0>[number]:[ReviewTaskTypeId] <col1>[number]:[CreationDate] <col2>[time]:[DeletionDate] <col3>[time]:[ReviewTaskStateId] <col4>[number]:[PostId] <col5>[number]:[SuggestedEditId] <col6>[number]:[CompletedByReviewTaskId] } <table10>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table11>[PostTypes] { <col0>[number]:[text] } <table12>[Users] { <col0>[number]:[Reputation] <col1>[number]:[CreationDate] <col2>[time]:[DisplayName] <col3>[text]:[LastAccessDate] <col4>[time]:[WebsiteUrl] <col5>[text]:[Location] <col6>[text]:[AboutMe] <col7>[text]:[Views] <col8>[number]:[UpVotes] <col9>[number]:[DownVotes] <col10>[number]:[ProfileImageUrl] <col11>[text]:[EmailHash] <col12>[text]:[AccountId] } <table13>[TagSynonyms] { <col0>[number]:[SourceTagName] <col1>[text]:[TargetTagName] <col2>[text]:[CreationDate] <col3>[time]:[OwnerUserId] <col4>[number]:[AutoRenameCount] <col5>[number]:[LastAutoRename] <col6>[time]:[Score] <col7>[number]:[ApprovedByUserId] <col8>[number]:[ApprovalDate] } <table14>[CloseAsOffTopicReasonTypes] { <col0>[number]:[IsUniversal] <col1>[boolean]:[InputTitle] <col2>[text]:[MarkdownInputGuidance] <col3>[text]:[MarkdownPostOwnerGuidance] <col4>[text]:[MarkdownPrivilegedUserGuidance] <col5>[text]:[MarkdownConcensusDescription] <col6>[text]:[CreationDate] <col7>[time]:[CreationModeratorId] <col8>[number]:[ApprovalDate] <col9>[time]:[ApprovalModeratorId] <col10>[number]:[DeactivationDate] <col11>[time]:[DeactivationModeratorId] } <table15>[PostTags] { <col0>[PostId]:[number] <col1>[TagId]:[number] } <table16>[Comments] { <col0>[number]:[PostId] <col1>[number]:[Score] <col2>[number]:[Text] <col3>[text]:[CreationDate] <col4>[time]:[UserDisplayName] <col5>[text]:[UserId] <col6>[number]:[ContentLicense] } <table17>[Tags] { <col0>[number]:[TagName] <col1>[text]:[Count] <col2>[number]:[ExcerptPostId] <col3>[number]:[WikiPostId] } <table18>[PostLinks] { <col0>[number]:[CreationDate] <col1>[time]:[PostId] <col2>[number]:[RelatedPostId] <col3>[number]:[LinkTypeId] } <table19>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boolean] } <table20>[SuggestedEdits] { <col0>[number]:[PostId] <col1>[number]:[CreationDate] <col2>[time]:[ApprovalDate] <col3>[time]:[RejectionDate] <col4>[time]:[OwnerUserId] <col5>[number]:[Comment] <col6>[text]:[Text] <col7>[text]:[Title] <col8>[text]:[Tags] <col9>[text]:[RevisionGUID] } <table21>[PostsWithDeleted] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[number]:[ViewCount] <col7>[number]:[Body] <col8>[text]:[OwnerUserId] <col9>[number]:[OwnerDisplayName] <col10>[text]:[LastEditorUserId] <col11>[number]:[LastEditorDisplayName] <col12>[text]:[LastEditDate] <col13>[time]:[LastActivityDate] <col14>[time]:[Title] <col15>[text]:[Tags] <col16>[text]:[AnswerCount] <col17>[number]:[CommentCount] <col18>[number]:[FavoriteCount] <col19>[number]:[ClosedDate] <col20>[time]:[CommunityOwnedDate] <col21>[time]:[ContentLicense] } <table22>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table23>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table24>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table25>[Votes] { <col0>[number]:[PostId] <col1>[number]:[VoteTypeId] <col2>[number]:[UserId] <col3>[number]:[CreationDate] <col4>[time]:[BountyAmount] } <table26>[PostHistory] { <col0>[number]:[PostHistoryTypeId] <col1>[number]:[PostId] <col2>[number]:[RevisionGUID] <col3>[CreationDate]:[time] <col4>[UserId]:[number] <col5>[UserDisplayName]:[text] <col6>[Comment]:[text] <col7>[Text]:[text] <col8>[ContentLicense]:[text] } <table27>[PostFeedback] { <col0>[number]:[PostId] <col1>[number]:[IsAnonymous] <col2>[boolean]:[VoteTypeId] <col3>[number]:[CreationDate] } <table28>[PostNoticeTypes] { <col0>[number]:[ClassId] <col1>[number]:[text] <col2>[Body]:[text] <col3>[IsHidden]:[boolean] <col4>[Predefined]:[boolean] <col5>[PostNoticeDurationId]:[number] }

SELECT CreationDate, COUNT( Id ) FROM `<table4>` WHERE Tags LIKE '%<python-3.x>%' GROUP BY CreationDate

Stack Overflow: Python 3 vs Python 2.

<table0>[ArtsHeritage] { <col0>[SiteName]:[VARCHAR] <col1>[ArtType]:[VARCHAR] } <table1>[HeritageSites] { <col0>[SiteName]:[VARCHAR] <col1>[Country]:[VARCHAR] }

SELECT h.SiteName, a.ArtType FROM `<table1>` h JOIN ArtsHeritage a ON h.SiteName = a.SiteName;

Showcase the types of traditional arts performed at each heritage site.

<table0>[departments] { <col0>[DEPARTMENT_ID]:[decimal] <col1>[DEPARTMENT_NAME]:[varchar] <col2>[MANAGER_ID]:[decimal] <col3>[LOCATION_ID]:[decimal] } <table1>[jobs] { <col0>[JOB_ID]:[varchar] <col1>[JOB_TITLE]:[varchar] <col2>[MIN_SALARY]:[decimal] <col3>[MAX_SALARY]:[decimal] } <table2>[regions] { <col0>[REGION_ID]:[decimal] <col1>[REGION_NAME]:[varchar] } <table3>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar] <col3>[EMAIL]:[varchar] <col4>[PHONE_NUMBER]:[varchar] <col5>[HIRE_DATE]:[date] <col6>[JOB_ID]:[varchar] <col7>[SALARY]:[decimal] <col8>[COMMISSION_PCT]:[decimal] <col9>[MANAGER_ID]:[decimal] <col10>[DEPARTMENT_ID]:[decimal] } <table4>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal] } <table5>[job_history] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[START_DATE]:[date] <col2>[END_DATE]:[date] <col3>[JOB_ID]:[varchar] <col4>[DEPARTMENT_ID]:[decimal] } <table6>[locations] { <col0>[LOCATION_ID]:[decimal] <col1>[STREET_ADDRESS]:[varchar] <col2>[POSTAL_CODE]:[varchar] <col3>[CITY]:[varchar] <col4>[STATE_PROVINCE]:[varchar] <col5>[COUNTRY_ID]:[varchar] }

SELECT HIRE_DATE, AVG( `<col0>` ) FROM `<table3>` WHERE NOT `<col0>` IN ( SELECT `<col0>` FROM `<table5>` ) ORDER BY AVG( `<col0>` )

For those employees who did not have any job in the past, give me the comparison about the average of employee_id over the hire_date bin hire_date by weekday, and show in ascending by the y axis.

<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table3>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table4>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] }

SELECT AVG( `<table3>`.age ) FROM `<table3>` WHERE `<table3>`.marital_status = "SINGLE" AND `<table3>`.admityear >= "2156"

Specify the average age of unmarried patients admitted in or after the year 2156

<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table2>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table3>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table4>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] }

SELECT COUNT( DISTINCT `<table1>`.subject_id ) FROM `<table1>` INNER JOIN diagnoses ON `<table1>`.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Intestinal abscess"

how many patients are diagnosed with intestinal abscess?

<table0>[table_name_16] { <col0>[round]:[VARCHAR] <col1>[player]:[VARCHAR] }

SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "tom morris"

Which round was Tom Morris picked in?

<table0>[Warehouse] { <col0>[INT]:[name] <col1>[TEXT]:[region] <col2>[TEXT]:[INSERT] } <table1>[Shipment] { <col0>[INT]:[warehouse_id] <col1>[INT]:[delivery_fee] <col2>[DECIMAL]:[INSERT] }

SELECT `<table0>`.region, SUM( Shipment.delivery_fee ) as total_revenue FROM `<table0>` INNER JOIN Shipment ON `<table0>`.id = Shipment.warehouse_id WHERE `<table0>`.region = 'Europe' GROUP BY `<table0>`.region;

What is the total revenue generated from deliveries in the 'Europe' region?

<table0>[drug_approval_2018] { <col0>[drug]:[VARCHAR] <col1>[year]:[INT] <col2>[status]:[VARCHAR] } <table1>[market_access] { <col0>[drug]:[VARCHAR] <col1>[country]:[VARCHAR] }

SELECT `<table1>`.drug FROM `<table1>` INNER JOIN drug_approval_2018 ON `<table1>`.drug = drug_approval_2018.drug WHERE drug_approval_2018.year = 2018 AND drug_approval_2018.status = 'Approved' AND `<table1>`.country = 'Canada';

List all drugs that were approved in 2018 and have market access in Canada?

<table0>[table_name_96] { <col0>[date]:[VARCHAR] <col1>[away_team]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "geelong"

What day was geelong the away side?

<table0>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table1>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table2>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table3>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table4>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table5>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table6>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table7>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table8>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table9>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table10>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table11>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table12>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table13>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table14>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table15>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table16>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] }

SELECT COUNT( * ) FROM `<table10>` WHERE `<table10>`.hadm_id IN ( SELECT `<table16>`.hadm_id FROM `<table16>` WHERE `<table16>`.subject_id = 61751 ) AND `<table10>`.drug = 'polyethylene glycol' AND DATETIME( `<table10>`.startdate, 'start of month' ) = DATETIME( CURRENT_TIME( ), 'start of month', '-1 month' )

how many times has patient 61751 been prescribed with polyethylene glycol the previous month?

<table0>[Employees] { <col0>[Employee_ID]:[INTEGER] <col1>[Role_Code]:[CHAR] <col2>[Employee_Name]:[VARCHAR] <col3>[255]:[Gender_MFU] <col4>[CHAR]:[Date_of_Birth] <col5>[DATETIME]:[Other_Details] <col6>[VARCHAR]:[255] } <table1>[Roles] { <col0>[Role_Code]:[CHAR] <col1>[Role_Name]:[VARCHAR] <col2>[255]:[Role_Description] <col3>[VARCHAR]:[255] } <table2>[Document_Locations] { <col0>[Document_ID]:[INTEGER] <col1>[Location_Code]:[CHAR] <col2>[Date_in_Location_From]:[DATETIME] <col3>[Date_in_Locaton_To]:[DATETIME] } <table3>[Ref_Document_Types] { <col0>[Document_Type_Code]:[CHAR] <col1>[Document_Type_Name]:[VARCHAR] <col2>[255]:[Document_Type_Description] <col3>[VARCHAR]:[255] } <table4>[Ref_Locations] { <col0>[Location_Code]:[CHAR] <col1>[Location_Name]:[VARCHAR] <col2>[255]:[Location_Description] <col3>[VARCHAR]:[255] } <table5>[Documents_to_be_Destroyed] { <col0>[Document_ID]:[INTEGER] <col1>[Destruction_Authorised_by_Employee_ID]:[INTEGER] <col2>[Destroyed_by_Employee_ID]:[INTEGER] <col3>[Planned_Destruction_Date]:[DATETIME] <col4>[Actual_Destruction_Date]:[DATETIME] <col5>[Other_Details]:[VARCHAR] } <table6>[Ref_Calendar] { <col0>[Calendar_Date]:[DATETIME] <col1>[Day_Number]:[INTEGER] } <table7>[All_Documents] { <col0>[Document_ID]:[INTEGER] <col1>[Date_Stored]:[DATETIME] <col2>[Document_Type_Code]:[CHAR] <col3>[Document_Name]:[CHAR] <col4>[255]:[Document_Description] <col5>[CHAR]:[255] <col6>[Other_Details]:[VARCHAR] }

SELECT Calendar_Date, COUNT( `<col0>` ) FROM `<table6>` ORDER BY COUNT( `<col0>` )

Bar chart x axis calendar date y axis the number of calendar date, and display by the y axis from low to high.

<table0>[microlab] { <col0>[microlabid]:[number] <col1>[patientunitstayid]:[number] <col2>[culturesite]:[text] <col3>[organism]:[text] <col4>[culturetakentime]:[time] } <table1>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[allergyname]:[text] <col4>[allergytime]:[time] } <table2>[treatment] { <col0>[treatmentid]:[number] <col1>[patientunitstayid]:[number] <col2>[treatmentname]:[text] <col3>[treatmenttime]:[time] } <table3>[intakeoutput] { <col0>[intakeoutputid]:[number] <col1>[patientunitstayid]:[number] <col2>[cellpath]:[text] <col3>[celllabel]:[text] <col4>[cellvaluenumeric]:[number] <col5>[intakeoutputtime]:[time] } <table4>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table5>[medication] { <col0>[medicationid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[dosage]:[text] <col4>[routeadmin]:[text] <col5>[drugstarttime]:[time] <col6>[drugstoptime]:[time] } <table6>[lab] { <col0>[labid]:[number] <col1>[patientunitstayid]:[number] <col2>[labname]:[text] <col3>[labresult]:[number] <col4>[labresulttime]:[time] } <table7>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col4>[age]:[text] <col5>[ethnicity]:[text] <col6>[hospitalid]:[number] <col7>[wardid]:[number] <col8>[admissionheight]:[number] <col9>[admissionweight]:[number] <col10>[dischargeweight]:[number] <col11>[hospitaladmittime]:[time] <col12>[hospitaladmitsource]:[text] <col13>[unitadmittime]:[time] <col14>[unitdischargetime]:[time] <col15>[hospitaldischargetime]:[time] <col16>[hospitaldischargestatus]:[text] } <table8>[cost] { <col0>[costid]:[number] <col1>[uniquepid]:[text] <col2>[patienthealthsystemstayid]:[number] <col3>[eventtype]:[text] <col4>[eventid]:[number] <col5>[chargetime]:[time] } <table9>[vitalperiodic] { <col0>[vitalperiodicid]:[number] <col1>[patientunitstayid]:[number] <col2>[temperature]:[number] <col3>[sao2]:[number] <col4>[heartrate]:[number] <col5>[respiration]:[number] <col6>[systemicsystolic]:[number] <col7>[systemicdiastolic]:[number] <col8>[systemicmean]:[number] <col9>[observationtime]:[time] }

SELECT t3.drugname FROM ( SELECT t2.drugname, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM ( SELECT patient.uniquepid, `<table5>`.drugstarttime FROM `<table5>` JOIN patient ON `<table5>`.patientunitstayid = patient.patientunitstayid WHERE `<table5>`.drugname = 'magnesium sulfate 50 % ij soln' AND STRFTIME( '%y', `<table5>`.drugstarttime ) <= '2101' ) AS t1 JOIN ( SELECT patient.uniquepid, `<table5>`.drugname, `<table5>`.drugstarttime FROM `<table5>` JOIN patient ON `<table5>`.patientunitstayid = patient.patientunitstayid WHERE STRFTIME( '%y', `<table5>`.drugstarttime ) <= '2101' ) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME( t1.drugstarttime ) = DATETIME( t2.drugstarttime ) GROUP BY t2.drugname ) AS t3 WHERE t3.c1 <= 3

until 2101, what are the three most commonly prescribed drugs for patients who were also prescribed magnesium sulfate 50 % ij soln at the same time?

<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table3>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table4>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] }

SELECT `<table4>`.religion, `<table4>`.insurance FROM `<table4>` WHERE `<table4>`.name = "Kelly Gallardo"

what is religion and insurance of subject name kelly gallardo?

<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table2>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table3>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table4>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] }

SELECT COUNT( DISTINCT `<table1>`.subject_id ) FROM `<table1>` INNER JOIN lab ON `<table1>`.hadm_id = lab.hadm_id WHERE `<table1>`.admityear < "2158" AND lab.label = "Theophylline"

Get me the number of patients admitted before the year 2158 who had a theophylline lab test.

<table0>[climate_mitigation] { <col0>[project_id]:[INT] <col1>[project_name]:[VARCHAR] <col2>[255]:[location] <col3>[VARCHAR]:[255] <col4>[start_date]:[DATE] }

SELECT `<col1>` FROM `<table0>` WHERE location = 'Oceania' AND `<col4>` BETWEEN '2000-01-01' AND '2005-12-31';

Get the names of all climate mitigation projects in 'Oceania' that started between 2000 and 2005.

<table0>[table_41351] { <col0>[Date]:[text] <col1>[Visitor]:[text] <col2>[Score]:[text] <col3>[Home]:[text] <col4>[Leading]:[scorer] <col5>[text]:[Record] }

SELECT "Leading scorer" FROM `<table0>` WHERE "Visitor" = 'villa de los barrios'

Who is the leading scorer of the Villa De Los Barrios visitor?

<table0>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table1>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table2>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table3>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table4>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table5>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table6>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table7>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table8>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table9>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table10>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table11>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table12>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table13>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table14>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table15>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table16>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] }

SELECT DISTINCT t1.c1 FROM ( SELECT `<table12>`.valuenum, PERCENT_RANK( ) OVER ( ORDER BY `<table12>`.valuenum ) AS c1 FROM `<table12>` WHERE `<table12>`.itemid IN ( SELECT `<table14>`.itemid FROM `<table14>` WHERE `<table14>`.label = 'bicarbonate' ) AND `<table12>`.hadm_id IN ( SELECT `<table15>`.hadm_id FROM `<table15>` WHERE `<table15>`.age = ( SELECT `<table15>`.age FROM `<table15>` WHERE `<table15>`.subject_id = 77177 AND NOT `<table15>`.dischtime IS NULL ORDER BY `<table15>`.admittime DESC LIMIT 1 ) ) ) AS t1 WHERE t1.valuenum = 30.0

what is the percentile of 30.0 in a laboratory bicarbonate test given the same as patient 77177's age during the last hospital encounter?

<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table3>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table4>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] }

SELECT MAX( `<table3>`.days_stay ) FROM `<table3>` WHERE `<table3>`.ethnicity = "BLACK/CAPE VERDEAN"

what is maximum days of hospital stay of patients whose ethnicity is black/cape verdean?

<table0>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table2>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table3>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table4>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] }

SELECT COUNT( DISTINCT `<table4>`.subject_id ) FROM `<table4>` WHERE `<table4>`.gender = "F" AND `<table4>`.admityear < "2103"

how many female patients are admitted before the year 2103?

<table0>[Employees] { <col0>[EmployeeID]:[int] <col1>[FirstName]:[varchar] <col2>[LastName]:[varchar] <col3>[Department]:[varchar] <col4>[Gender]:[varchar] <col5>[Salary]:[decimal] <col6>[HireDate]:[date] <col7>[ManagerID]:[int] }

SELECT Department, ManagerID, COUNT( * ) as Total`<table0>` FROM `<table0>` GROUP BY Department, ManagerID;

What is the number of employees by department and manager?

<table0>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table1>[treatment] { <col0>[treatmentid]:[number] <col1>[patientunitstayid]:[number] <col2>[treatmentname]:[text] <col3>[treatmenttime]:[time] } <table2>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[allergyname]:[text] <col4>[allergytime]:[time] } <table3>[cost] { <col0>[costid]:[number] <col1>[uniquepid]:[text] <col2>[patienthealthsystemstayid]:[number] <col3>[eventtype]:[text] <col4>[eventid]:[number] <col5>[chargetime]:[time] } <table4>[vitalperiodic] { <col0>[vitalperiodicid]:[number] <col1>[patientunitstayid]:[number] <col2>[temperature]:[number] <col3>[sao2]:[number] <col4>[heartrate]:[number] <col5>[respiration]:[number] <col6>[systemicsystolic]:[number] <col7>[systemicdiastolic]:[number] <col8>[systemicmean]:[number] <col9>[observationtime]:[time] } <table5>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col4>[age]:[text] <col5>[ethnicity]:[text] <col6>[hospitalid]:[number] <col7>[wardid]:[number] <col8>[admissionheight]:[number] <col9>[admissionweight]:[number] <col10>[dischargeweight]:[number] <col11>[hospitaladmittime]:[time] <col12>[hospitaladmitsource]:[text] <col13>[unitadmittime]:[time] <col14>[unitdischargetime]:[time] <col15>[hospitaldischargetime]:[time] <col16>[hospitaldischargestatus]:[text] } <table6>[lab] { <col0>[labid]:[number] <col1>[patientunitstayid]:[number] <col2>[labname]:[text] <col3>[labresult]:[number] <col4>[labresulttime]:[time] } <table7>[microlab] { <col0>[microlabid]:[number] <col1>[patientunitstayid]:[number] <col2>[culturesite]:[text] <col3>[organism]:[text] <col4>[culturetakentime]:[time] } <table8>[medication] { <col0>[medicationid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[dosage]:[text] <col4>[routeadmin]:[text] <col5>[drugstarttime]:[time] <col6>[drugstoptime]:[time] } <table9>[intakeoutput] { <col0>[intakeoutputid]:[number] <col1>[patientunitstayid]:[number] <col2>[cellpath]:[text] <col3>[celllabel]:[text] <col4>[cellvaluenumeric]:[number] <col5>[intakeoutputtime]:[time] }

SELECT `<table6>`.`<table6>`resulttime FROM `<table6>` WHERE `<table6>`.`<table5>`unitstayid IN ( SELECT `<table5>`.`<table5>`unitstayid FROM `<table5>` WHERE `<table5>`.`<table5>`healthsystemstayid IN ( SELECT `<table5>`.`<table5>`healthsystemstayid FROM `<table5>` WHERE `<table5>`.uniquepid = '030-75705' ) ) AND `<table6>`.`<table6>`name = '-eos' AND STRFTIME( '%y-%m', `<table6>`.`<table6>`resulttime ) >= '2105-09' ORDER BY `<table6>`.`<table6>`result, `<table6>`.`<table6>`resulttime LIMIT 1

what was the first time patient 030-75705 had the minimum level of -eos since 09/2105?

<table0>[states] { <col0>[state_name]:[VARCHAR] <col1>[255]:[budget] <col2>[INT]:[INSERT] } <table1>[services] { <col0>[service_name]:[VARCHAR] <col1>[255]:[state_name] <col2>[VARCHAR]:[255] <col3>[budget]:[INT] }

SELECT state_name, `<col3>` FROM ( SELECT state_name, SUM( `<col3>` ) AS `<col3>` FROM `<table1>` WHERE `<col0>` IN ( 'education', 'public transportation' ) GROUP BY state_name ORDER BY `<col3>` DESC ) AS subquery LIMIT 2;

Identify the top 2 states with the highest budget allocation for education and public transportation?

<table0>[table_name_77] { <col0>[tournament]:[VARCHAR] }

SELECT 2009 FROM `<table0>` WHERE `<col0>` = "year-end ranking"

What is 2009, when Tournament is 'Year-End Ranking'?

<table0>[competition_result] { <col0>[competition_id]:[number] <col1>[club_id_1]:[number] <col2>[club_id_2]:[number] <col3>[score]:[text] } <table1>[player] { <col0>[player_id]:[number] <col1>[name]:[text] <col2>[position]:[text] <col3>[club_id]:[number] <col4>[apps]:[number] <col5>[tries]:[number] <col6>[goals]:[text] <col7>[points]:[number] } <table2>[club_rank] { <col0>[rank]:[number] <col1>[club_id]:[number] <col2>[gold]:[number] <col3>[silver]:[number] <col4>[bronze]:[number] <col5>[total]:[number] } <table3>[competition] { <col0>[competition_id]:[number] <col1>[year]:[number] <col2>[competition_type]:[text] <col3>[country]:[text] } <table4>[club] { <col0>[club_id]:[number] <col1>[name]:[text] <col2>[region]:[text] <col3>[start_year]:[text] }

SELECT SUM( `<col7>` ) FROM `<table1>`

What is the total number of points for all players?

<table0>[table_17738] { <col0>[Year]:[real] <col1>[Song]:[title] <col2>[text]:[Artist] <col3>[text]:[Master] <col4>[recording]:[text] <col5>[Release]:[date] <col6>[text]:[Single] <col7>[Pack]:[text] }

SELECT COUNT( "Master `<col4>` ?" ) FROM `<table0>` WHERE "Song title" = 'Famous For Nothing'

How many master recordings are there for 'Famous for Nothing'?

<table0>[countries] { <col0>[country_code]:[CHAR] <col1>[country_name]:[VARCHAR] } <table1>[protected_areas] { <col0>[area_id]:[INT] <col1>[area_name]:[VARCHAR] <col2>[country_code]:[CHAR] <col3>[INSERT]:[countries] <col4>[country_code]:[country_name] <col5>[VALUES]:[Canada] <col6>[United]:[States] <col7>[Denmark]:[INSERT] }

SELECT country_code, COUNT( * ) as total_`<table1>` FROM `<table1>` GROUP BY country_code;

What is the total number of protected areas in each country?

<table0>[blockchain_companies] { <col0>[company_id]:[INT] <col1>[company_name]:[VARCHAR] <col2>[platform]:[VARCHAR] } <table1>[blockchain_transactions] { <col0>[transaction_id]:[INT] <col1>[company_id]:[INT] <col2>[DECIMAL]:[INSERT] }

SELECT b.company_name, SUM( bt.amount ) as total_amount, ROW_NUMBER( ) OVER ( ORDER BY SUM( bt.amount ) DESC ) as rank FROM `<table1>` bt JOIN blockchain_companies b ON bt.company_id = b.company_id GROUP BY b.company_id, b.company_name;

What is the total transaction amount for each company, ranked by the total transaction amount in descending order?

<table0>[unesco_world_heritage_sites] { <col0>[site_id]:[INT] <col1>[name]:[VARCHAR] <col2>[country_id]:[INT] <col3>[is_protected]:[BOOLEAN] }

SELECT u.name, SUM( i.num_visitors ) as total_visitors FROM `<table0>` u INNER JOIN destinations d ON u.site_id = d.destination_id INNER JOIN international_visitors i ON d.destination_id = i.destination_id WHERE u.country_id IN ( SELECT `<col2>` FROM countries WHERE continent = 'Asia' ) GROUP BY u.name;

What is the total number of visitors to each UNESCO World Heritage Site in Asia?

<table0>[Streams] { <col0>[StreamID]:[INT] <col1>[UserID]:[INT] <col2>[ArtistID]:[INT] }

SELECT COUNT( DISTINCT `<col1>` ) AS UniqueUsers FROM ( SELECT `<col1>` FROM `<table0>` JOIN Artists ON `<table0>`.ArtistID = Artists.ArtistID WHERE Genre IN ( 'Rock', 'Jazz' ) GROUP BY `<col1>` HAVING COUNT( DISTINCT Genre ) = 2 );

Find the number of unique users who have streamed songs from artists in both 'Rock' and 'Jazz' genres?

<table0>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table1>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table2>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table3>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table4>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table5>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table6>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table7>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table8>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table9>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table10>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table11>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table12>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table13>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table14>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table15>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table16>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] }

SELECT COUNT( DISTINCT t2.subject_id ) FROM ( SELECT t1.subject_id, t1.charttime, t1.hadm_id FROM ( SELECT `<table6>`.subject_id, `<table10>`.charttime, `<table6>`.hadm_id FROM `<table10>` JOIN `<table6>` ON `<table10>`.hadm_id = `<table6>`.hadm_id WHERE `<table10>`.icd9_code = ( SELECT `<table13>`.icd9_code FROM `<table13>` WHERE `<table13>`.short_title = 'dmii wo cmp nt st uncntr' ) ) AS t1 GROUP BY t1.subject_id HAVING MIN( t1.charttime ) = t1.charttime AND DATETIME( t1.charttime ) >= DATETIME( CURRENT_TIME( ), '-6 year' ) ) AS t2 JOIN ( SELECT patients.subject_id, `<table6>`.hadm_id, patients.dod FROM `<table6>` JOIN patients ON patients.subject_id = `<table6>`.subject_id WHERE NOT patients.dod IS NULL AND DATETIME( patients.dod ) >= DATETIME( CURRENT_TIME( ), '-6 year' ) ) AS t3 ON t2.subject_id = t3.subject_id WHERE t2.hadm_id = t3.hadm_id

how many patients died after being diagnosed with dmii wo cmp nt st uncntr during the same hospital encounter since 6 years ago?

<table0>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table1>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table2>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table3>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table4>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table5>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table6>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table7>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table8>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table9>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table10>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table11>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table12>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table13>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table14>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table15>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table16>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] }

SELECT ( SELECT `<table4>`.valuenum FROM `<table4>` WHERE `<table4>`.hadm_id IN ( SELECT `<table13>`.hadm_id FROM `<table13>` WHERE `<table13>`.subject_id = 8888 AND `<table13>`.dischtime IS NULL ) AND `<table4>`.itemid IN ( SELECT `<table8>`.itemid FROM `<table8>` WHERE `<table8>`.label = 'glucose' ) ORDER BY `<table4>`.charttime DESC LIMIT 1 ) - ( SELECT `<table4>`.valuenum FROM `<table4>` WHERE `<table4>`.hadm_id IN ( SELECT `<table13>`.hadm_id FROM `<table13>` WHERE `<table13>`.subject_id = 8888 AND `<table13>`.dischtime IS NULL ) AND `<table4>`.itemid IN ( SELECT `<table8>`.itemid FROM `<table8>` WHERE `<table8>`.label = 'glucose' ) ORDER BY `<table4>`.charttime LIMIT 1 )

what was the change in glucose in patient 8888 last measured on the current hospital visit compared to the first value measured on the current hospital visit?

<table0>[table_name_12] { <col0>[surname]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE first = "donovan"

What is donovan's surname?

<table0>[urban_sustainability] { <col0>[INT]:[city] <col1>[VARCHAR]:[255] <col2>[co_ownership_cost]:[DECIMAL] <col3>[size]:[INT] }

SELECT AVG( co_ownership_cost / size ) OVER ( ORDER BY co_ownership_cost ) AS avg_cost_per_sqft FROM urban_sustainability;

What is the average co-ownership cost per square foot in the 'urban_sustainability' table, ordered by cost?

<table0>[country] { <col0>[country_id]:[integer] <col1>[country_iso_code]:[text] <col2>[country_name]:[text] } <table1>[department] { <col0>[department_id]:[integer] <col1>[department_name]:[text] } <table2>[gender] { <col0>[gender_id]:[integer] } <table3>[genre] { <col0>[genre_id]:[integer] <col1>[genre_name]:[text] } <table4>[keyword] { <col0>[keyword_id]:[integer] <col1>[keyword_name]:[text] } <table5>[language] { <col0>[language_id]:[integer] <col1>[language_code]:[text] <col2>[language_name]:[text] } <table6>[language_role] { <col0>[role_id]:[integer] } <table7>[movie] { <col0>[movie_id]:[integer] <col1>[title]:[text] <col2>[budget]:[integer] <col3>[homepage]:[text] <col4>[overview]:[text] <col5>[popularity]:[real] <col6>[release_date]:[date] <col7>[revenue]:[integer] <col8>[runtime]:[integer] <col9>[movie_status]:[text] <col10>[tagline]:[text] <col11>[vote_average]:[real] <col12>[vote_count]:[integer] } <table8>[movie_genres] { <col0>[movie_id]:[integer] <col1>[genre_id]:[integer] } <table9>[movie_languages] { <col0>[movie_id]:[integer] <col1>[language_id]:[integer] <col2>[language_role_id]:[integer] } <table10>[person] { <col0>[person_id]:[integer] <col1>[person_name]:[text] } <table11>[movie_crew] { <col0>[movie_id]:[integer] <col1>[person_id]:[integer] <col2>[department_id]:[integer] <col3>[job]:[text] } <table12>[production_company] { <col0>[company_id]:[integer] <col1>[company_name]:[text] } <table13>[production_country] { <col0>[movie_id]:[integer] <col1>[country_id]:[integer] } <table14>[movie_cast] { <col0>[movie_id]:[integer] <col1>[person_id]:[integer] <col2>[character_name]:[text] <col3>[gender_id]:[integer] <col4>[cast_order]:[integer] } <table15>[movie_keywords] { <col0>[movie_id]:[integer] <col1>[keyword_id]:[integer] } <table16>[movie_company] { <col0>[movie_id]:[integer] <col1>[company_id]:[integer] }

SELECT CAST( COUNT( CASE WHEN T3.genre_name = 'Horror' THEN T1.`<table7>`_id ELSE NULL END ) AS REAL ) / COUNT( T1.`<table7>`_id ) FROM `<table7>` AS T1 INNER JOIN `<table7>`_genres AS T2 ON T1.`<table7>`_id = T2.`<table7>`_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id

What is the average number of horror movies among all movies genre?

<table0>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <table1>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table2>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]:[text] <col11>[ethnicity]:[text] <col12>[age]:[number] } <table3>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table4>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table5>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table6>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table7>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table8>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table9>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table10>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table11>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table12>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table13>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table14>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table15>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table16>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] }

SELECT `<table0>`.charttime FROM `<table0>` WHERE `<table0>`.icustay_id IN ( SELECT `<table10>`.icustay_id FROM `<table10>` WHERE `<table10>`.hadm_id IN ( SELECT `<table2>`.hadm_id FROM `<table2>` WHERE `<table2>`.subject_id = 25997 ) ) AND STRFTIME( '%y-%m-%d', `<table0>`.charttime ) = '2100-06-28' ORDER BY `<table0>`.charttime LIMIT 1

when did patient 25997 first have an intake, on 06/28/2100?

<table0>[table_name_91] { <col0>[player]:[VARCHAR] <col1>[score]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 72 - 68 - 78 - 71 = 289

Which Player has a Score of 72-68-78-71=289?

<table0>[CREATE] { <col0>[SCHEMA]:[MarineLife] } <table1>[Species] { <col0>[INT]:[name] <col1>[TEXT]:[biomass] <col2>[FLOAT]:[CREATE] <col3>[SCHEMA]:[MaritimeLaw] } <table2>[Regions] { <col0>[INT]:[name] <col1>[TEXT]:[compliance] }

SELECT SUM( s.biomass ) FROM MarineLife.Species s JOIN MaritimeLaw.Regions r ON s.id = r.id WHERE r.compliance = 'strict';

What is the total biomass of marine life species in regions with strict maritime law compliance?

<table0>[table_49622] { <col0>[Region]:[year] <col1>[text]:[text] <col2>[text]:[text] <col3>[text]:[text] <col4>[text]:[text] <col5>[text]:[text] }

SELECT "No. 2" FROM `<table0>` WHERE "No. 4" = 'ethan' AND "No. 7" = 'jackson'

What is the No. 2 of the person with a No. 5 of Ethan and NO. 7 of Jackson?

<table0>[Products] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Price]:[DECIMAL] <col3>[Manufacturer]:[INTEGER] } <table1>[Manufacturers] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Headquarter]:[VARCHAR] <col3>[255]:[Founder] <col4>[VARCHAR]:[255] <col5>[Revenue]:[REAL] }

SELECT Founder, SUM( `<col3>` ) FROM `<table0>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder

For those records from the products and each product's manufacturer, a bar chart shows the distribution of founder and the sum of manufacturer , and group by attribute founder.

<table0>[table_18254] { <col0>[District]:[text] <col1>[Incumbent]:[text] <col2>[Party]:[text] <col3>[elected]:[real] <col4>[Result]:[text] <col5>[Candidates]:[text] }

SELECT MAX( "First elected" ) FROM `<table0>` WHERE "Incumbent" = 'Gus Yatron'

what is the maximum first elected with incumbent being gus yatron

<table0>[marine_protected_areas] { <col0>[INT]:[name] <col1>[TEXT]:[area_size] <col2>[FLOAT]:[avg_depth] <col3>[FLOAT]:[ocean] <col4>[TEXT]:[INSERT] }

SELECT AVG( avg_depth ) FROM `<table0>` WHERE ocean = 'Pacific';

What is the average depth of all marine protected areas in the Pacific Ocean?"

<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table2>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table3>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table4>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] }

SELECT `<table1>`.admittime, lab.label FROM `<table1>` INNER JOIN lab ON `<table1>`.hadm_id = lab.hadm_id WHERE `<table1>`.subject_id = "22377"

what is admission time and lab test name of subject id 22377?

<table0>[table_28406] { <col0>[Institution]:[text] <col1>[Location]:[text] <col2>[Nickname]:[text] <col3>[Founded]:[real] <col4>[Type]:[text] <col5>[Enrollment]:[real] <col6>[Joined]:[text] }

SELECT MIN( "Founded" ) FROM `<table0>`

When was the earliest founded university?

<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table2>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table3>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>[ethnicity]:[text] <col13>[expire_flag]:[text] <col14>[admission_location]:[text] <col15>[discharge_location]:[text] <col16>[diagnosis]:[text] <col17>[dod]:[text] <col18>[dob_year]:[text] <col19>[dod_year]:[text] <col20>[admittime]:[text] <col21>[dischtime]:[text] <col22>[admityear]:[text] } <table4>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] }

SELECT `<table1>`.drug_type, `<table1>`.formulary_drug_cd FROM `<table1>` WHERE `<table1>`.drug = "Tacrolimus"

Tell me the drug code and drug type of Tacrolimus.

<table0>[waste_stream] { <col0>[country]:[VARCHAR] <col1>[material]:[VARCHAR] <col2>[recycling_rate]:[DECIMAL] }

SELECT country, material, AVG( `<col2>` ) as avg_recycling_rate FROM `<table0>` GROUP BY country, material;

What are the recycling rates for each material and country in 'waste_stream'?

<table0>[Course_Authors_and_Tutors] { <col0>[author_id]:[INTEGER] <col1>[author_tutor_ATB]:[VARCHAR] <col2>[login_name]:[VARCHAR] <col3>[password]:[VARCHAR] <col4>[personal_name]:[VARCHAR] <col5>[middle_name]:[VARCHAR] <col6>[family_name]:[VARCHAR] <col7>[gender_mf]:[VARCHAR] <col8>[address_line_1]:[VARCHAR] } <table1>[Students] { <col0>[student_id]:[INTEGER] <col1>[date_of_registration]:[DATETIME] <col2>[date_of_latest_logon]:[DATETIME] <col3>[login_name]:[VARCHAR] <col4>[password]:[VARCHAR] <col5>[personal_name]:[VARCHAR] <col6>[middle_name]:[VARCHAR] <col7>[family_name]:[VARCHAR] } <table2>[Student_Tests_Taken] { <col0>[registration_id]:[INTEGER] <col1>[date_test_taken]:[DATETIME] <col2>[test_result]:[VARCHAR] } <table3>[Subjects] { <col0>[subject_id]:[INTEGER] <col1>[subject_name]:[VARCHAR] } <table4>[Student_Course_Enrolment] { <col0>[registration_id]:[INTEGER] <col1>[student_id]:[INTEGER] <col2>[course_id]:[INTEGER] <col3>[date_of_enrolment]:[DATETIME] <col4>[date_of_completion]:[DATETIME] } <table5>[Courses] { <col0>[course_id]:[INTEGER] <col1>[author_id]:[INTEGER] <col2>[subject_id]:[INTEGER] <col3>[course_name]:[VARCHAR] <col4>[120]:[course_description] <col5>[VARCHAR]:[255] }

SELECT date_test_taken, COUNT( `<col1>` ) FROM `<table2>` WHERE `<col2>` = "Pass" GROUP BY `<col1>` ORDER BY `<col1>`

Which tests have 'Pass' results? Return the dates when the tests were taken, and count them by a bar chart, sort by the names in asc please.

<table0>[table_name_34] { <col0>[player]:[VARCHAR] <col1>[total]:[VARCHAR] <col2>[year_s__won]:[VARCHAR] }

SELECT `<col0>` FROM `<table0>` WHERE `<col1>` > 293 AND `<col2>` = "1989"

What golfer has a greater than 293 total, and won in 1989?