mungsik/ai_hub_N2SQL_valid_dataset_240910 · Datasets at Hugging Face

question stringlengths 11 105	context stringlengths 58 1.47k	answer stringlengths 33 541	__index_level_0__ int64 11 88.9k
차수가 11차 이상인 설문의 시작일과 종료일을 찾아줘	CREATE TABLE "S_I_W_N_H_R_D_C_K_C_R_E_S_S" ( "NUMW" NUMERIC, "ORDERX" NUMERIC, "ITEM_NMY" TEXT, "ITEM_TYPEZ" NUMERIC, "NUM_ITEMSA" NUMERIC, "RESPONSE_NM_1B" TEXT, "RESPONSE_NM_2C" TEXT, "RESPONSE_NM_3D" TEXT, "RESPONSE_NM_4E" TEXT, "RESPONSE_NM_5F" TEXT, "SURVEY_TARGETJ" TEXT, "REVISION_DTK" TEXT, "TITLEL" TEXT, "NUMM" NUMERIC, "START_DTN" NUMERIC, "END_DTO" NUMERIC, "RE_DTP" NUMERIC, "MEMOQ" TEXT )	SELECT START_DTN, END_DTO FROM S_I_W_N_H_R_D_C_K_C_R_E_S_S WHERE ORDERX >= 11	68,304
출발 항로명이 조정 면허 시험장 계류 시설이 아닌 곳의 도착 항로명을 사전 배열순으로 중복 없이 알려줘	CREATE TABLE "KCG_GUIDE_LINE_ROUTE_INFO" ( "NM_ROUTEU" TEXT, "DEPARTURE_ROUTE_NMV" TEXT, "DESTINATION_ROUTE_NMW" TEXT, "DEPARTURE_ROUTE_ADDRESSX" TEXT, "D_R_A_Q" TEXT, "D_B_D_RC" TEXT, "NM_ANCHORAGEA" TEXT )	SELECT DISTINCT DESTINATION_ROUTE_NMW FROM KCG_GUIDE_LINE_ROUTE_INFO WHERE DEPARTURE_ROUTE_NMV != '조정면허시험장 계류시설' ORDER BY DESTINATION_ROUTE_NMW	82,845
소재지 지번 주소에 진위면이 들어가거나 구분이 평택호인 물놀이 안전시설의 설치 위치를 알려줘	CREATE TABLE "STS_GGPT_W_PLAY_SAFE_FAC" ( "CITY_PROVINCEX" TEXT, "NM_CITY_COUNTY_DISTRICTY" TEXT, "SORTATIONZ" TEXT, "LOC_NUM_ADDRESSA" TEXT, "LATITUDEB" NUMERIC, "HARDNESSC" NUMERIC, "INS_LOCD" TEXT, "N_W_P_I_S_C_XZ" NUMERIC, "N_D_A_I_S_A" NUMERIC, "LIFE_SAVING_FUNCTIONG" NUMERIC, "NM_MANAGEMENT_AGENCYH" TEXT, "M_A_P_N_DE" TEXT, "DATA_BASE_DTJ" TEXT )	SELECT INS_LOCD FROM STS_GGPT_W_PLAY_SAFE_FAC WHERE LOC_NUM_ADDRESSA LIKE '%진위면%' OR SORTATIONZ = '평택호'	76,503
설치 연도가 2010년이거나 2011년인 충전소의 이름과 지역을 나타내줘	CREATE TABLE "C_STS_ELEC_VE_CHARGERS_KECO_ME_P_RAPID_CHARGERS" ( "AREAC" TEXT, "CHARGING_STATION_NMD" TEXT, "CHARGER_IDE" NUMERIC, "INS_YEARF" NUMERIC, "ADDRESSG" TEXT )	SELECT CHARGING_STATION_NMD, AREAC FROM C_STS_ELEC_VE_CHARGERS_KECO_ME_P_RAPID_CHARGERS WHERE INS_YEARF = 2010 OR INS_YEARF = 2011	80,846
주변 환경명이 주택가 주변인 곳의 소재지 우편번호를 보여줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_030901_D_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "POSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT )	SELECT POSTNO FROM L_O_C_A_L_D_A_T_A_030901_D_D WHERE NEARENVNM = '주택가주변'	19,589
2017년에 취득세를 납부한 개인 납세자의 수는 몇 명이야	CREATE TABLE "C_STS_LOCAL_TAX_TAXPAYERS_INJE_GUN_GW" ( "CITY_PROVINCEC" TEXT, "TAX_YEARF" NUMERIC, "NM_DETAILG" TEXT, "TAX_FREE_TYPEH" TEXT, "OUTSIDE_JURISDICTIONI" TEXT, "NUM_TAXPAYERSJ" NUMERIC )	SELECT NUM_TAXPAYERSJ FROM C_STS_LOCAL_TAX_TAXPAYERS_INJE_GUN_GW WHERE TAX_YEARF = 2017 AND NM_DETAILG = '취득세' AND TAX_FREE_TYPEH = '개인'	60,284
정부 형태가 내각책임제이며 인구가 1억명 이상인 나라의 수도를 알려줘	CREATE TABLE "GENERAL_STS_MOFA_COUNTRY" ( "KOREAN_NATIONAL_NAME" TEXT, "ENGLISH_COUNTRY_NAME" TEXT, "COUNTRY_CODE" TEXT, "CAPITAL" TEXT, "POPULATION" NUMERIC, "POPULATION_DESCRIPTION" TEXT, "AREA" NUMERIC, "AREA_DESCRIPTION" TEXT, "LANGUAGE" TEXT, "ETHNIC_GROUP" TEXT, "RELIGION" TEXT, "CLIMATE" TEXT, "FOUNDING_NATION" TEXT )	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%내각책임제%') AND T1.POPULATION >= 100000000	52,393
특허명에 비디오가 포함되거나 영상 부호화 장치인 특허의 출원국을 중복 없이 보여줘	CREATE TABLE "ETRI_PATENT_REG_STS" ( "NUMP" NUMERIC, "PATENT_NMQ" TEXT, "APPLICATION_DTR" TEXT, "RE_DTS" TEXT, "APPLICANT_COUNTRYT" TEXT )	SELECT DISTINCT APPLICANT_COUNTRYT FROM ETRI_PATENT_REG_STS WHERE PATENT_NMQ LIKE '%비디오%' OR PATENT_NMQ = '영상 부호화 장치'	67,849
8월에 번호판을 영치한 건수를 보여줘	CREATE TABLE "CSCY_PUBLIC_VIEW_G_A" ( "GA_CAR_CUSTODY_CSDY_YYYY" TEXT, "GA_CAR_CUSTODY_CSDY_MM" NUMERIC, "GA_CAR_CUSTODY_SIDO" TEXT, "GA_CAR_CUSTODY_ATDRC_CODE" NUMERIC, "GA_CAR_CUSTODY_CSDY_COUNT" TEXT )	SELECT GA_CAR_CUSTODY_CSDY_COUNT FROM CSCY_PUBLIC_VIEW_G_A WHERE GA_CAR_CUSTODY_CSDY_MM = 8	41,436
외국인 수가 2000명 이상이거나 500명 이하인 현황의 시군구명을 중복되지 않게 보여줘	CREATE TABLE "POP_033" ( "STATS_YR" TEXT, "SIGUNGU_NM" TEXT, "SEX_NM" TEXT, "AGEGRD_NM" TEXT, "FRGNR_POPL_CNT" NUMERIC, "ADMDONG_CD" TEXT )	SELECT DISTINCT SIGUNGU_NM FROM POP_033 WHERE FRGNR_POPL_CNT >= 2000 OR FRGNR_POPL_CNT <= 500	88,905
1984년도에 인허가를 받은 대기오염물질 배출시설 설치사업장의 최종 수정 일자와 데이터 갱신 일자는 언제야	CREATE TABLE "L_O_C_A_L_D_A_T_A_093008_G_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "JONGGBNNM" TEXT, "DISCFACILOPRTNPD" TEXT, "PVTFACILOPRTNPD" TEXT )	SELECT LASTMODTS, UPDATEDT FROM L_O_C_A_L_D_A_T_A_093008_G_R WHERE APVPERMYMD LIKE '1984%'	36,052
코드가 33으로 끝나는 산업 분류 현황의 항목을 알려줘	CREATE TABLE "C_STS_KEPCO_I_CLASSIFICATION" ( "NUMF" NUMERIC, "CDG" NUMERIC, "ITEM_NMH" TEXT )	SELECT ITEM_NMH FROM C_STS_KEPCO_I_CLASSIFICATION WHERE CDG LIKE '%33'	50,714
구인 제목이 조리사이거나 돌봄 교사인 정보의 담당 센터와 기업명을 마감일이 오래된 순서대로 정렬해줘	CREATE TABLE "JOB_OFFER" ( "INFOID" TEXT, "MANAGE_ORGAN_NAME" TEXT, "COMPANYNAME" TEXT, "TITLE" TEXT, "WORKADDRESS_NM" TEXT, "WORKADDRESS" TEXT, "CLOSE_DATE" TEXT, "STATUS_NM" TEXT )	SELECT MANAGE_ORGAN_NAME, COMPANYNAME FROM JOB_OFFER WHERE TITLE = '조리사' OR TITLE = '돌봄교사' ORDER BY CLOSE_DATE	33,812
2004년도에 폐업하거나 사업장 이름이 산업연구원인 위탁급식영업 업체의 인허가 일자와 최종 수정 일자는 언제야	CREATE TABLE "L_O_C_A_L_D_A_T_A_072101_D_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "HOMEPAGE" TEXT )	SELECT APVPERMYMD, LASTMODTS FROM L_O_C_A_L_D_A_T_A_072101_D_D WHERE DCBYMD LIKE '2004%' OR BPLCNM = '산업연구원'	9,416
충전 용량이 50킬로와트 이상인 충전소의 이름을 가나다 역순으로 중복 없이 나열해줘	CREATE TABLE "CHARGER_CAPACITY_INFO_KEPCO_CHARGER" ( "CHARGING_STATION_IDU" NUMERIC, "CHARGING_STATION_NMV" TEXT, "CHARGER_IDW" NUMERIC, "CHARGER_NMX" TEXT, "CHARGING_CP_KWY" NUMERIC )	SELECT DISTINCT CHARGING_STATION_NMV FROM CHARGER_CAPACITY_INFO_KEPCO_CHARGER WHERE CHARGING_CP_KWY >= 50 ORDER BY CHARGING_STATION_NMV DESC	68,692
대업종별로 2019년 사망자 수가 5명 미만이거나 2019년 근로자 수가 5000명 미만인 산업의 수를 대업종와 함께 보여줘	CREATE TABLE "NUM_WORKERS_KOSHA_I_MIDDLE_CLASSIFICATION" ( "LARGE_INDUSTRY" TEXT, "SORTATION" TEXT, "Y_2004" NUMERIC, "Y_2005" NUMERIC, "Y_2006" NUMERIC, "Y_2007" NUMERIC, "Y_2008" NUMERIC, "Y_2009" NUMERIC, "Y_2010" NUMERIC, "Y_2011" NUMERIC, "Y_2012" NUMERIC, "Y_2013" NUMERIC, "Y_2014" NUMERIC, "Y_2015" NUMERIC, "Y_2016" NUMERIC, "Y_2017" NUMERIC, "Y_2018" NUMERIC, "Y_2019" NUMERIC, "Y_2020" NUMERIC, "Y_2021" NUMERIC )	SELECT T1.LARGE_INDUSTRY, COUNT(T2.SORTATION) FROM NUM_WORKERS_KOSHA_I_MIDDLE_CLASSIFICATION AS T1 JOIN NUM_ACCIDENT_VICTIMS_KOSHA_I_MIDDLE_CLASSIFICATION AS T2 ON T1.SORTATION = T2.SORTATION WHERE T1.SORTATION IN (SELECT SORTATION FROM NUM_WORKERS_KOSHA_I_MIDDLE_CLASSIFICATION WHERE Y_2019 < 5) OR T1.Y_2019 < 5000 GROUP BY T1.LARGE_INDUSTRY	84,974
전화번호에 40이 들어가고 자본금이 5000000 이상인 곳의 사업장명을 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_082603_N_W" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "ASETSCP" TEXT, "BCTOTAM" TEXT, "CAPT" TEXT, "SILMETNM" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_082603_N_W WHERE CAPT >= 5000000 AND SITETEL LIKE '%40%'	28,642
드림코리아의 인허가 일자와 재개업 일자는 언제야	CREATE TABLE "L_O_C_A_L_D_A_T_A_082603_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "X" TEXT, "Y" TEXT, "ASETSCP" TEXT, "BCTOTAM" TEXT, "CAPT" TEXT, "SILMETNM" TEXT )	SELECT ROPNYMD, APVPERMYMD FROM L_O_C_A_L_D_A_T_A_082603_S_P WHERE BPLCNM = '드림코리아'	31,137
전력 거래량이 1 미만인 거래일과 시간을 거래일이 최근인 순서대로 보여줘	CREATE TABLE "KPX_SOLAR_PW_GENERATION_SEOUL" ( "FUEL_SOURCET" TEXT, "REGIONAL_DETAIL_CLASU" TEXT, "TRADING_DAYV" TEXT, "TIMEW" NUMERIC, "P_T_V_M_U" NUMERIC )	SELECT TRADING_DAYV, TIMEW FROM KPX_SOLAR_PW_GENERATION_SEOUL WHERE P_T_V_M_U < 1 ORDER BY TRADING_DAYV DESC	62,466
상세 영업 상태명이 직권 말소인 사업장의 이름을 찾아줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_103101_M_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "PUPRSENM" TEXT, "INSURJNYNCODE" TEXT, "LDERCNT" TEXT, "BDNGDNGNUM" TEXT, "BDNGYAREA" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_103101_M_P WHERE DTLSTATENM = '직권말소'	21,490
번호판이 압수된 월이 5월인 정보의 해당 영치 건수와 영치 건수의 합계를 보여줘	CREATE TABLE "CSCY_PUBLIC_VIEW_Y_C" ( "CSDY_YYYY" TEXT, "CSDY_MM" NUMERIC, "YC_CAR_CUSTODY_SIDO" TEXT, "YC_CAR_CUSTODY_ATDRC_CODE" NUMERIC, "CSDY_COUNT" TEXT )	SELECT CSDY_COUNT, SUM(CSDY_COUNT) FROM CSCY_PUBLIC_VIEW_Y_C WHERE CSDY_MM = 5 GROUP BY CSDY_COUNT	41,379
세종예술아카데미 강좌 및 수강신청 정보에서 스퀘어 홀에서 하는 강좌를 알려줘	CREATE TABLE "S_J_W_ACADEMY_P_R_G" ( "SEQ" TEXT, "M_STATE" TEXT, "CATE_NAME" TEXT, "P_NAME" TEXT, "M_PLACE" TEXT, "FILE_URL" TEXT, "M_NAME" TEXT, "S_DATE" TEXT, "E_DATE" TEXT, "P_LIMIT" TEXT, "TEL_NO" TEXT, "P_NUM" TEXT, "WEEKTIME" TEXT, "M_COST" TEXT, "DISCOUNT" TEXT, "DISCOUNTALL" TEXT, "M_CONTENT1" TEXT, "M_CONTENT2" TEXT, "PROFILE" TEXT, "M_CONTENT3" TEXT )	SELECT P_NAME FROM S_J_W_ACADEMY_P_R_G WHERE M_PLACE = '스퀘어홀'	21,725
선적항에 보령시가 들어가는 어선의 총톤수 평균을 알려줘	CREATE TABLE "STS_INSPECTION_KOMSA_FISHING_BOAT" ( "FISHING_TURN" NUMERIC, "FISHING_DIVISION" TEXT, "FISHING_TOTAL_TONNAGE" NUMERIC, "FISHING_LENGTH" NUMERIC, "FISHING_WIDTH" NUMERIC, "FISHING_DEPTH" NUMERIC, "FISHING_PROPOSING" TEXT, "FISHING_PURPOSE" TEXT, "FISHING_DETAILS" TEXT, "FISHING_SHIPMENT" TEXT )	SELECT AVG(FISHING_TOTAL_TONNAGE) FROM STS_INSPECTION_KOMSA_FISHING_BOAT WHERE FISHING_SHIPMENT LIKE '%보령시%'	60,885
승인 합계와 신규 건설 중인 국가와 건설 중의 원자로 개수 알려줘	CREATE TABLE "KHNP_WORLD_NP_PLANT_O_STS" ( "CATEGOTY" TEXT, "NATION" TEXT, "OPERATING_ATOMIC_REACTOR" NUMERIC, "OPERATING_FACILITY_CAPACITY" NUMERIC, "UNDER_CONSTRUCTION_REACTOR" NUMERIC, "UNDER_CONSTRUCTION_FACILITY_CAPACITY" NUMERIC, "CLOSED_ATOMIC_REACTOR" NUMERIC, "CLOSURE_FACILITY_CAPACITY" NUMERIC )	SELECT T1.TAL_APPROVAL, T2.NATION, T2.UNDER_CONSTRUCTION_REACTOR FROM STS_PERMANENT_SUSPENSION_DISMANTLING_KHNP_WORLD_NP_PLANT_O AS T1 JOIN KHNP_WORLD_NP_PLANT_O_STS AS T2 ON T1.NATION = T2.NATION WHERE T2.NATION IN (SELECT NATION FROM KHNP_WORLD_NP_PLANT_O_STS) AND T2.CATEGOTY = '신규 건설'	70,560
상품 코드 설명이 국가로 시작하거나 장학 상품 유형 코드 설명이 신규인 정보의 장학 연도를 보여줘	CREATE TABLE "KOSAF_SCHOLARSHIP_BASIC_INFO_MNG_SCHOLARSHIP_SCHEDULE_BASIC" ( "PRODUCT_CDO" TEXT, "PRODUCT_CD_DESCRIPTIONP" TEXT, "S_P_T_C_J" NUMERIC, "S_P_T_C_D_K" TEXT, "SCHOLARSHIP_SCHOOLS" NUMERIC, "SCHOLARSHIP_SEMESTERT" NUMERIC, "SCHOLARSHIP_MEETINGU" NUMERIC, "BUSINESS_START_DTV" TEXT, "BUSINESS_TERMINATION_DTW" TEXT )	SELECT SCHOLARSHIP_SCHOOLS FROM KOSAF_SCHOLARSHIP_BASIC_INFO_MNG_SCHOLARSHIP_SCHEDULE_BASIC WHERE PRODUCT_CD_DESCRIPTIONP LIKE '국가%' OR S_P_T_C_D_K = '신규'	87,241
시설명에 롯데리아가 들어간 곳의 담당구와 주소를 알려줘	CREATE TABLE "TOURIST_FOOD_INFO" ( "SEQ" NUMERIC, "SISULNAME" TEXT, "GU" TEXT, "ADDR" TEXT, "TEL" TEXT, "HOMEPAGE" TEXT, "HIT" TEXT, "ST1" TEXT, "ST2" TEXT, "ST3" TEXT, "ST4" TEXT, "ST5" TEXT, "ST6" TEXT, "ST7" TEXT, "ST9" TEXT, "ST10" TEXT, "ST11" TEXT, "ST12" TEXT )	SELECT GU, ADDR FROM TOURIST_FOOD_INFO WHERE SISULNAME LIKE '%롯데리아%'	33,128
서초꽃마을주유소의 휴업 시작 일자를 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_092808_S_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CAPT" TEXT, "UPCHNM" TEXT )	SELECT CLGSTDT FROM L_O_C_A_L_D_A_T_A_092808_S_C WHERE BPLCNM = '서초꽃마을주유소'	32,167
행정구와 행정동을 알려줘	CREATE TABLE "SEBC_ART_GALLERY_KOR" ( "MAIN_KEY" TEXT, "CATE1_NAME" TEXT, "CATE2_NAME" TEXT, "CATE3_NAME" TEXT, "NM_DP" TEXT, "NAME_KOR" TEXT, "ADD_KOR" TEXT, "ADD_KOR_ROAD" TEXT, "H_KOR_GU" TEXT, "H_KOR_DONG" TEXT )	SELECT H_KOR_GU, H_KOR_DONG FROM SEBC_ART_GALLERY_KOR	20,995
회원가입 합계가 402명일 때 날짜를 찾아줘	CREATE TABLE "STS_ONBID_MEMBERSHIP_KR_ASSET_MNG_C" ( "DTV" TEXT, "DAY_WEEKW" TEXT, "S_N_M_R_I_C" NUMERIC, "S_N_M_R_G_M_DE" NUMERIC, "SUMZ" NUMERIC )	SELECT DTV FROM STS_ONBID_MEMBERSHIP_KR_ASSET_MNG_C WHERE SUMZ = 402	49,704
자치구명이 영등포이거나 서대문구인 곳의 정원 합계는 얼마야	CREATE TABLE "STAT_SISUL_FIXED_NUMBER_INFO" ( "STYEAR" TEXT, "ARCODE" NUMERIC, "ARCODENM" TEXT, "CNTOT" NUMERIC, "CN0101" NUMERIC, "CN0201" NUMERIC, "CN0301" NUMERIC, "CN0302" NUMERIC, "CN0401" NUMERIC, "CN0501" NUMERIC, "CN0603" NUMERIC )	SELECT CNTOT FROM STAT_SISUL_FIXED_NUMBER_INFO WHERE ARCODENM = '영등포' OR ARCODENM = '서대문구'	34,091
영업장 주변 구분명이 기타인 사업장의 소재지 우편번호를 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_072210_J_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "JTUPSOMAINEDF" TEXT )	SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_072210_J_N WHERE TRDPJUBNSENM = '기타'	7,236
1999년 이후에 인허가를 받은 서울시 구로구에 위치한 체육도장을 알려줄래	CREATE TABLE "L_O_C_A_L_D_A_T_A_104101_G_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "PUPRSENM" TEXT, "LDERCNT" TEXT, "BDNGDNGNUM" TEXT, "BDNGYAREA" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_104101_G_R WHERE APVPERMYMD >= 19990101000000	20,240
남성 종사자 수가 3명 이상인 사업장의 수를 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_072211_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOMAINEDF" TEXT )	SELECT COUNT(BPLCNM) FROM L_O_C_A_L_D_A_T_A_072211_S_P WHERE MANEIPCNT >= 3	11,542
영업 형태가 일반쇼핑몰인 곳의 최초 신고 일자는 언제야	CREATE TABLE "SERVICE_INTERNET_SHOP_INFO" ( "COMPANY" TEXT, "SHOP_NAME" TEXT, "DOMAIN_NAME" TEXT, "TEL" TEXT, "EMAIL" TEXT, "UPJONG_NBR" TEXT, "YPFORM" TEXT, "FIRST_HEO_DATE" TEXT, "COM_ADDR" TEXT, "STAT_NM" TEXT, "TOT_RATINGPOINT" TEXT, "CHOGI_RATINGPOINT" TEXT, "CHUNG_RATINGPOINT" TEXT, "DEAL_RATINGPOINT" TEXT, "PYOJUN_RATINGPOINT" TEXT, "SECURITY_RATINGPOINT" TEXT, "SERVICE" TEXT, "CHUNG" TEXT, "CHOGI" TEXT, "GYULJE" TEXT, "PYOJUN" TEXT, "P_INFO_CARE" TEXT, "PER_INFO" TEXT, "DEAL_CARE" TEXT, "SSL_YN" TEXT, "INJEUNG" TEXT, "BAESONG_YEJEONG" TEXT, "BAESONG" TEXT, "CLIENT_BBS" TEXT, "LEAVE" TEXT, "KAESOL_YEAR" TEXT, "REG_DATE" TEXT )	SELECT FIRST_HEO_DATE FROM SERVICE_INTERNET_SHOP_INFO WHERE YPFORM = '일반쇼핑몰'	30,941
폐기물 배출자 주소에 월배로가 들어가는 상호를 나타내줘	CREATE TABLE "CURRENT_STS_WASTE_DISCHARGERS_DALSEO_GU_DAEGU" ( "LATITUDE" NUMERIC, "HARDNESS" NUMERIC, "MUTUAL_NAME" TEXT, "STS_ADDRESS" TEXT, "DEPARTMENT_CHARGE" TEXT, "BASE_DATE" TEXT )	SELECT MUTUAL_NAME FROM CURRENT_STS_WASTE_DISCHARGERS_DALSEO_GU_DAEGU WHERE STS_ADDRESS LIKE '%월배로%'	75,941
CCTV 용도가 고정식이거나 방범인 곳의 수정 일시를 알려줘	CREATE TABLE "SAFE_OPEN_C_C_T_V_YD" ( "YDP_SAFE_CCTV_SVCAREAID" TEXT, "ADDR" TEXT, "CCTVUSE" TEXT, "WGSXPT" NUMERIC, "WGSYPT" NUMERIC, "UPDTDATE" TEXT )	SELECT UPDTDATE FROM SAFE_OPEN_C_C_T_V_YD WHERE CCTVUSE = '고정식' OR CCTVUSE = '방범'	16,311
내용에 수수료가 들어가는 대화명의 답변 내용은 뭐야	CREATE TABLE "C_C_C_S_K_E_I_R_E_S_DE" ( "C_L_C_R_RC" TEXT, "C_D_R_S" TEXT, "C_S_R_T" TEXT, "D_N_R_W_2_U" TEXT, "A_M_B_W_4_C_V" TEXT, "OPERATION_METHOD_1X" TEXT, "OPERATION_NM_1Y" TEXT, "OPERATION_VALUE_1Z" TEXT, "HOW_IT_WORKS_2A" TEXT, "OPERATION_NM_2B" TEXT, "OPERATION_VALUE_2C" TEXT )	SELECT A_M_B_W_4_C_V FROM C_C_C_S_K_E_I_R_E_S_DE WHERE D_N_R_W_2_U LIKE '%수수료%'	82,500
이름에 남매가 들어가는 도서의 저자와 발행자를 중복 없이 알려줘	CREATE TABLE "DGE_DAEGU_LIBRARY_POPULARITY_BOOK_LIST" ( "RANKING" NUMERIC, "REGISTRATION_NUMBER" TEXT, "BILLING_SYMBOL" TEXT, "SIGNATURE" TEXT, "AUTHOR" TEXT, "ISSUER" TEXT, "ARCHIVES_OFFICE" TEXT, "NUMBER_LOANS" NUMERIC )	SELECT DISTINCT T1.AUTHOR, T2.ISSUER FROM DGE_DAEGU_LIBRARY_POPULARITY_BOOK_LIST AS T1 JOIN LIST_POPULAR_BOOKS_DGE_DAEGU AS T2 ON T1.AUTHOR = T2.AUTHOR WHERE T1.AUTHOR IN (SELECT AUTHOR FROM LIST_POPULAR_BOOKS_DGE_DAEGU WHERE SIGNATURE LIKE '%남매%')	88,379
사업장 이름이 다섯 글자인 곳의 데이터 갱신 일자가 언제야	CREATE TABLE "L_O_C_A_L_D_A_T_A_072404_G_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "LVSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "HOMEPAGE" TEXT )	SELECT UPDATEDT FROM L_O_C_A_L_D_A_T_A_072404_G_R WHERE BPLCNM LIKE '_____'	792
한강대교별 녹조 관측정보에서 측정년이 2022년이고 측정지점명이 성산대교인 데이터의 수온과 PH 농도를 알려줘	CREATE TABLE "V_TS_GTD_DATA" ( "WM_PT" TEXT, "PT_NO" TEXT, "PT_GB" TEXT, "WMYR" TEXT, "WMOD" TEXT, "WMWK" TEXT, "TEMP" NUMERIC, "PH" NUMERIC, "DOS" NUMERIC, "CN_VAL" TEXT, "SRCW_ALARM" TEXT )	SELECT TEMP,PH FROM V_TS_GTD_DATA WHERE WMYR = 20220000000000 AND WM_PT = '성산대교'	38,877
영업 상태명이 폐업인 곳의 인허가 일자를 나타내줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_010106_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "BPLCNM" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "PHARMTRDAR" TEXT, "ASGNYMD" TEXT )	SELECT APVPERMYMD FROM L_O_C_A_L_D_A_T_A_010106_S_P WHERE TRDSTATENM = '폐업'	10,690
법정동명별 업소 수의 총합과 법정동명을 찾아줘	CREATE TABLE "NW_FOOD_HYGIENE_BIZ_LOC_MANAGE" ( "NW_FOOD_HYGIENE_CGG_CODE" NUMERIC, "NW_FOOD_HYGIENE_CGG_NM" TEXT, "REGN_NM" TEXT, "SNT_UPTAE_NM" TEXT, "CNT" TEXT )	SELECT REGN_NM, SUM(CNT) FROM NW_FOOD_HYGIENE_BIZ_LOC_MANAGE GROUP BY REGN_NM	5,497
2014년에 시도별로 가정용 이용량의 총합이 얼마인지 시도와 함께 알려줘	CREATE TABLE "KW_USAGE_STS_GROUNDW_USE_HOUSEHOLD_YEAR" ( "YEARM" NUMERIC, "CITY_PROVINCEN" TEXT, "C_C_C_D_P" TEXT, "TOTAL_NUM_PLACESP" NUMERIC, "TOTAL_UTILIZATIONQ" NUMERIC, "NUM_HOUSEHOLDSR" NUMERIC, "DOMESTIC_USAGES" NUMERIC, "NUM_PLACES_GENERAL_USET" NUMERIC, "GENERAL_USAGEU" NUMERIC, "NUM_SCHOOL_PREMISESV" NUMERIC, "SCHOOL_USAGEW" NUMERIC, "N_P_C_D_Y" NUMERIC, "C_D_U_Z" NUMERIC, "NUM_APARTMENTSZ" NUMERIC, "A_U_A_H_VA" NUMERIC, "N_P_L_W_S_CV" NUMERIC, "A_U_W_S_L_DE" NUMERIC, "NUM_WATER_SUPPLY_LOCSD" NUMERIC, "AMT_WATERE" NUMERIC, "N_A_H_BB" NUMERIC, "A_U_B_A_U_C" NUMERIC, "NUM_OTHER_PLACESH" NUMERIC, "OTHER_USAGEI" NUMERIC )	SELECT CITY_PROVINCEN, SUM(DOMESTIC_USAGES) FROM KW_USAGE_STS_GROUNDW_USE_HOUSEHOLD_YEAR WHERE YEARM = 2014 GROUP BY CITY_PROVINCEN	77,482
업종 대분류별로 떨어짐 사고의 합이 3000건 이상인 업종의 넘어짐 사고의 합과 업종 대분류를 넘어짐 사고의 합이 많은 순으로 나열해줘	CREATE TABLE "NUM_ACCIDENT_VICTIMS_T_OCCURRENCE_KOSHA_I_MIDDLE_CLASSIFICATION" ( "MAJOR_INDUSTRYT" TEXT, "HEAVY_INDUSTRYU" TEXT, "SCALEV" TEXT, "ACCIDENTAL_DAMAGEW" NUMERIC, "A_A_F_XZ" NUMERIC, "ACCIDENTAL_DAMAGEY" NUMERIC, "A_A_R_BB" NUMERIC, "COLLAPSE_ACCIDENTA" NUMERIC, "A_A_J_DE" NUMERIC, "A_A_C_C_C_C_EA" NUMERIC, "A_E_S_F" NUMERIC, "A_A_E_R_G" NUMERIC, "ACCIDENTAL_FIREF" NUMERIC, "A_D_O_I" NUMERIC, "A_A_A_T_O_C_J" NUMERIC, "ACCIDENTAL_DISASTERI" NUMERIC, "A_H_I_U_B_L" NUMERIC, "C_C_L_A_D_M" NUMERIC, "A_D_O_D_N" NUMERIC, "T_A_W_A_A_O" NUMERIC, "A_A_O_W_P" NUMERIC, "ACCIDENTAL_SPORTS_EVENTO" NUMERIC, "ACCIDENTAL_VIOLENCEP" NUMERIC, "A_D_A_I_S" NUMERIC, "ACCIDENTAL_DAMAGE_OTHERR" NUMERIC, "U_C_A_A_U" NUMERIC )	SELECT MAJOR_INDUSTRYT, SUM(A_A_F_XZ) FROM NUM_ACCIDENT_VICTIMS_T_OCCURRENCE_KOSHA_I_MIDDLE_CLASSIFICATION GROUP BY MAJOR_INDUSTRYT HAVING SUM(ACCIDENTAL_DAMAGEW) >= 3000 ORDER BY SUM(A_A_F_XZ) DESC	82,943
지번주소에 이태원동이 들어가는 업체의 소재지 우편번호는 뭐야	CREATE TABLE "L_O_C_A_L_D_A_T_A_031202_Y_S" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "REGNSENM" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "INSURORGNM" TEXT, "BDNGSRVNM" TEXT, "JISGNUMLAY" TEXT, "CNSTYAREA" TEXT, "ENGSTNTRNMNM" TEXT, "ENGSTNTRNMADDR" TEXT, "SHPTOTTONS" TEXT, "SHPCNT" TEXT, "SHPINFO" TEXT, "INSURSTDT" TEXT )	SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_031202_Y_S WHERE SITEWHLADDR LIKE '%이태원동%'	24,318
지번 주소에 신정동이 포함되고 제조 구분명이 냉동인 사업장명을 찾아줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_092805_Y_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "PRDSENM" TEXT, "WRKPGRDSRVSENM" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_092805_Y_C WHERE SITEWHLADDR LIKE '%신정동%' AND PRDSENM = '냉동'	32,842
지번주소에 신수동이 들어가고 전화번호에 712가 들어간 곳의 소재지 면적과 좌석 수가 얼마야	CREATE TABLE "L_O_C_A_L_D_A_T_A_051801_M_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "BDNGJISGFLRCNT" TEXT, "BDNGUNDERFLRCNT" TEXT, "USEJISGSTFLR" TEXT, "USEJISGENDFLR" TEXT, "USEUNDERENDFLR" TEXT, "HANSHILCNT" TEXT, "YANGSILCNT" TEXT, "YOKSILCNT" TEXT, "BALHANSILYN" TEXT, "CHAIRCNT" TEXT, "CNDPERMNTWHY" TEXT, "CNDPERMSTYMD" TEXT, "BDNGOWNSENM" TEXT, "WMEIPCNT" TEXT, "RCVDRYNCNT" TEXT, "ABEDCNT" TEXT, "MULTUSNUPSOYN" TEXT )	SELECT SITEAREA, CHAIRCNT FROM L_O_C_A_L_D_A_T_A_051801_M_P WHERE SITETEL LIKE '%712%' AND SITEWHLADDR LIKE '%신수동%'	10,550
재질별로 발포형인 해양 쓰레기의 개수와 재질을 보여줘	CREATE TABLE "METHODOLOGY_TWO_TS_MARINE_W_MONITORING_KR_MARINE_E_C" ( "MANAGEMENT_NUML" NUMERIC, "YEARM" NUMERIC, "AREAN" TEXT, "ORDERO" TEXT, "CLASP" TEXT, "QUALITY_MATERIALQ" TEXT, "DETAILED_CLASR" TEXT, "NUMS" NUMERIC )	SELECT QUALITY_MATERIALQ, COUNT(DETAILED_CLASR) FROM METHODOLOGY_TWO_TS_MARINE_W_MONITORING_KR_MARINE_E_C WHERE QUALITY_MATERIALQ = '발포형' GROUP BY QUALITY_MATERIALQ	84,660
1977년도에 인허가를 받은 계량기 증명 업체의 데이터 갱신 일자와 사업장명을 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_092804" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "OFFTELNO" TEXT )	SELECT UPDATEDT, BPLCNM FROM L_O_C_A_L_D_A_T_A_092804 WHERE APVPERMYMD LIKE '1977%'	31,798
호원당의 전화번호는 뭐야	CREATE TABLE "L_O_C_A_L_D_A_T_A_072211_S_M" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT )	SELECT SITETEL FROM L_O_C_A_L_D_A_T_A_072211_S_M WHERE BPLCNM = '호원당'	11,271
폐기물 종류가 폐합성수지인 상호와 연락처는 뭐야	CREATE TABLE "STS_W_DISCHARGER_GBYD_WORKP" ( "MUTUALE" TEXT, "CONTACT_USF" TEXT, "B_E_A_T" TEXT, "DT_RPINGH" TEXT, "WASTE_TYPEI" TEXT, "DATA_BASE_DTJ" TEXT )	SELECT MUTUALE, CONTACT_USF FROM STS_W_DISCHARGER_GBYD_WORKP WHERE WASTE_TYPEI = '폐합성수지'	75,826
현장이 들어가는 질문을 사전 배열순으로 중복 없이 나타내줘	CREATE TABLE "SMART_WORK_SELF_DIAGNOSIS_QUESTION_KR_I_INFO_SOCIETY_AGENCY" ( "QUESTION_SERIAL_NUMR" NUMERIC, "WEIGHT_TYPES" TEXT, "Q_S_N_U" NUMERIC, "QUESTION_TYPEU" TEXT, "VALID_ANSWER_VARIABLEV" NUMERIC, "TOTAL_ANSWERW" NUMERIC, "S_E_Y" TEXT, "QUESTIONY" TEXT )	SELECT DISTINCT QUESTIONY FROM SMART_WORK_SELF_DIAGNOSIS_QUESTION_KR_I_INFO_SOCIETY_AGENCY WHERE QUESTIONY LIKE '%현장%' ORDER BY QUESTIONY ASC	52,272
꿀벌 유치원과 장미 유치원이 가입한 보험명을 가나다순으로 정렬해 줘	CREATE TABLE "CHILD_SCHOOL_INSURANCE_SP" ( "SP_OFFICEEDU" TEXT, "SUBOFFICEEDU" TEXT, "KINDERCODE" TEXT, "KINDERNAME" TEXT, "ESTB_PT" TEXT, "INSURANCE_NM" TEXT, "INSURANCE_EN" TEXT, "INSURANCE_YN" TEXT, "COMPANY2" TEXT, "COMPANY3" TEXT, "ADDR" TEXT )	SELECT INSURANCE_NM FROM CHILD_SCHOOL_INSURANCE_SP WHERE KINDERNAME = '꿀벌유치원' OR KINDERNAME = '장미유치원' ORDER BY INSURANCE_NM	42,002
도로명 상세주소에 은진이 들어가는 학교의 이름을 알려줘	CREATE TABLE "NEIS_SCHOOL_INFO_EP" ( "ATPT_OFCDC_SC_CODE" TEXT, "ATPT_OFCDC_SC_NM" TEXT, "SD_SCHUL_CODE" NUMERIC, "SCHUL_NM" TEXT, "ENG_SCHUL_NM" TEXT, "SCHUL_KND_SC_NM" TEXT, "LCTN_SC_NM" TEXT, "FOND_SC_NM" TEXT, "ORG_RDNMA" TEXT, "ORG_RDNDA" TEXT, "ORG_TELNO" TEXT, "HMPG_ADRES" TEXT, "COEDU_SC_NM" TEXT, "HS_SC_NM" TEXT, "HS_GNRL_BUSNS_SC_NM" TEXT, "SPCLY_PURPS_HS_ORD_NM" TEXT, "DGHT_SC_NM" TEXT, "FOND_YMD" NUMERIC, "FOAS_MEMRD" NUMERIC, "DGHT_CRSE_SC_NM" TEXT, "ORD_SC_NM" TEXT, "LOAD_DTM" TEXT )	SELECT SCHUL_NM FROM NEIS_SCHOOL_INFO_EP WHERE ORG_RDNDA LIKE '%은진%'	42,962
세원 유형명에 주택이 들어가거나 가장 많은 세금의 과세 연도를 겹치지 않게 보여줘	CREATE TABLE "TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON" ( "CITY_AND_PROVINCIAL_NAMES" TEXT, "NAME_CITY_AND_COUNTY" TEXT, "LOCAL_GOVERNMENT_CODE" NUMERIC, "TAX_YEAR" NUMERIC, "DETAILED_NAME" TEXT, "TYPE_NAME_TAX_SOURCE" TEXT, "NUMBER_IMPOSITIONS" NUMERIC, "IMPOSED_AMOUNT" NUMERIC )	SELECT DISTINCT T2.TAX_YEAR FROM TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON AS T1 JOIN TAX_STS_LOCAL_TAX_DAEDEOK_GU_DAEJEON AS T2 ON T1.DETAILED_NAME = T2.DETAILED_NAME WHERE T1.DETAILED_NAME IN (SELECT DETAILED_NAME FROM TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON WHERE TYPE_NAME_TAX_SOURCE LIKE '%주택%') OR T2.TAXABLE_AMOUNT = (SELECT MIN(TAXABLE_AMOUNT) FROM TAX_STS_LOCAL_TAX_DAEDEOK_GU_DAEJEON)	70,716
업태명을 가나다순으로 업소수와 업태명을 보여줘	CREATE TABLE "GB_FOOD_HYGIENE_BIZ_LOC_MANAGE" ( "GB_FOOD_HYGIENE_CGG_CODE" NUMERIC, "GB_FOOD_HYGIENE_CGG_NM" TEXT, "REGN_NM" TEXT, "SNT_UPTAE_NM" TEXT, "CNT" TEXT )	SELECT CNT, SNT_UPTAE_NM FROM GB_FOOD_HYGIENE_BIZ_LOC_MANAGE ORDER BY SNT_UPTAE_NM	14,932
공사 종류가 공장이고 신고 관할지청이 울산인 등록 업체명을 중복 없이 찾아줘	CREATE TABLE "KOSHA_H_SAFE_G_ACTIVITY_DETAILS" ( "SORTATIONE" TEXT, "T_S_D_J" NUMERIC, "CONSTRUCTION_SITE_NMG" TEXT, "REGISTERED_COMPANY_NMH" TEXT, "REGISTRAR_OFFICEI" TEXT, "RE_AUTHORITYJ" TEXT, "POSTAL_CDK" NUMERIC, "LOCL" TEXT, "TYPE_CONSTRUCTIONM" TEXT, "CONSTRUCTION_START_DTN" TEXT, "C_C_D_S" TEXT, "S_I_M_T" TEXT, "INTERVIEWS_STAKEHOLDERSQ" TEXT )	SELECT DISTINCT REGISTERED_COMPANY_NMH FROM KOSHA_H_SAFE_G_ACTIVITY_DETAILS WHERE TYPE_CONSTRUCTIONM = '공장' AND RE_AUTHORITYJ = '울산'	83,394
송도에 있는 곳의 상호를 알려줘	CREATE TABLE "CURRENT_STS_VIDEO_PRODION_ES_YEONSU_GU_INCHEON" ( "IC_VIDEO_PRODION_SECTORS" TEXT, "IC_VIDEO_PRODION_MUTUAL" TEXT, "IC_VIDEO_PRODION_NAME" TEXT )	SELECT IC_VIDEO_PRODION_MUTUAL FROM CURRENT_STS_VIDEO_PRODION_ES_YEONSU_GU_INCHEON WHERE IC_VIDEO_PRODION_NAME LIKE '%송도%'	53,107
노선 이름이 동해로 시작하거나 여객 수송실적이 20000 미만인 열차의 종을 중복 없이 보여줘	CREATE TABLE "P_KORAIL_RAILWAY" ( "DTJ" TEXT, "TRAIN_TYPEK" TEXT, "ROUTEL" TEXT, "P_T_P_H" NUMERIC )	SELECT DISTINCT TRAIN_TYPEK FROM P_KORAIL_RAILWAY WHERE ROUTEL LIKE '동해%' OR P_T_P_H < 20000	73,345
전화번호가 033으로 시작하는 가맹점의 이름과 도로명 주소가 뭐야	CREATE TABLE "GWCC_CHILDREN_MEAL_CARD_MERCHANT" ( "NM_MERCHANTE" TEXT, "MERCHANT_TYPE_CDF" NUMERIC, "CITY_PROVINCEG" TEXT, "NM_CITY_COUNTY_DISTRICTH" TEXT, "CITY_COUNTY_DISTRICT_CDI" NUMERIC, "LOC_MAP_NM_ADDRESSJ" TEXT, "LOC_NUM_ADDRESSK" TEXT, "LATITUDEL" NUMERIC, "HARDNESSM" NUMERIC, "PHONE_NUMN" TEXT, "W_O_S_T_Z" TEXT, "W_O_E_T_ZZ" TEXT, "S_O_S_T_VA" TEXT, "SATURDAY_CLOSING_TIMER" TEXT, "H_O_S_T_DE" TEXT, "H_O_E_T_XZ" TEXT, "DELIVERY_START_TIMEU" TEXT, "DELIVERY_END_TIMEV" TEXT, "NM_MANAGEMENT_AGENCYW" TEXT, "M_A_P_N_DE" TEXT, "DATA_BASE_DTY" TEXT )	SELECT NM_MERCHANTE, LOC_MAP_NM_ADDRESSJ FROM GWCC_CHILDREN_MEAL_CARD_MERCHANT WHERE PHONE_NUMN LIKE '033%'	55,749
주된 음식에 생선회가 들어간 모범 음식점의 소재지 도로명과 행정동명을 알려줘	CREATE TABLE "DONGDEAMOON_MODEL_RESTAURANT_DESIGNATE" ( "CGG_CODE" NUMERIC, "ASGN_YY" TEXT, "ASGN_SNO" TEXT, "APPL_YMD" TEXT, "ASGN_YMD" TEXT, "SITE_ADDR_RD" TEXT, "SITE_ADDR" TEXT, "PERM_NT_NO" TEXT, "SNT_UPTAE_NM" TEXT, "MAIN_EDF" TEXT, "TRDP_AREA" NUMERIC, "ADMDNG_NM" TEXT, "GRADE_FACIL_GBN" TEXT, "UPSO_SITE_TELNO" TEXT )	SELECT ADMDNG_NM, SITE_ADDR_RD FROM DONGDEAMOON_MODEL_RESTAURANT_DESIGNATE WHERE MAIN_EDF = '생선회'	1,320
상세 영업 상태명이 등록 취소인 사업장을 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_030507_G_J" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "FACILAR" NUMERIC, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "BGROOMCNT" TEXT, "EMEXYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT, "TOTGASYSCNT" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030507_G_J WHERE DTLSTATENM = '등록취소'	25,986
서로 시작하는 유치원의 이름을 중복 없이 찾아줘	CREATE TABLE "CHILD_SCHOOL_INSURANCE_GB" ( "SUBOFFICEEDU" TEXT, "KINDERNAME" TEXT, "ESTB_PT" TEXT, "INSURANCE_NM" TEXT, "INSURANCE_EN" TEXT, "INSURANCE_YN" TEXT, "COMPANY1" TEXT, "PBNTTMNG" NUMERIC, "ADDR" TEXT )	SELECT DISTINCT KINDERNAME FROM CHILD_SCHOOL_INSURANCE_GB WHERE KINDERNAME LIKE '서%'	41,870
지역이 경기도이거나 주소에 중구가 들어가는 검진 기관의 이름을 알려줘	CREATE TABLE "INFO_H_EXAMINATION_INST_CWMA_CONST_WORKERS" ( "SERIAL_NUMD" NUMERIC, "AREAE" TEXT, "N_E_I_T" TEXT, "ADDRESSG" TEXT )	SELECT N_E_I_T FROM INFO_H_EXAMINATION_INST_CWMA_CONST_WORKERS WHERE AREAE = '경기도' OR ADDRESSG LIKE '%중구%'	56,334
제작 취급 품목 내용에 동영상이 들어가거나 건물 용도명이 아파트인 사업장의 시설 면적이 얼마야	CREATE TABLE "L_O_C_A_L_D_A_T_A_031005_S_M" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "TOTNUMLAY" TEXT, "MNFACTREARTCLCN" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "BGROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "EMEXYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT )	SELECT FACILAR FROM L_O_C_A_L_D_A_T_A_031005_S_M WHERE MNFACTREARTCLCN LIKE '%동영상%' OR BDNGSRVNM = '아파트'	21,447
이름이 일반으로 시작하는 상품의 당일 신규 실행 건수를 알려줘	CREATE TABLE "KOSAF_D_LOAN_EXECUTION_STS" ( "BASE_DTU" TEXT, "PRODUCT_NMV" TEXT, "N_N_E_S_D_A" NUMERIC, "N_E_A_S_D_K_1_M_BB" NUMERIC )	SELECT N_N_E_S_D_A FROM KOSAF_D_LOAN_EXECUTION_STS WHERE PRODUCT_NMV LIKE '일반%'	86,255
충북 지역의 전문업이 유아숲 교육업 종류인 업체의 이름과 사업자 주소를 찾아줘	CREATE TABLE "FOWI_FOREST_WELFARE_B_REG_STS" ( "SERIAL_NUMY" NUMERIC, "COMPANY_NMZ" TEXT, "BUSINESS_ADDRESSA" TEXT, "LATITUDE_ALTI_TOOB" TEXT, "HARDNESS_LONGI_DEGREEC" TEXT, "R_P_N_XZ" TEXT, "TYPE_PROFESSIONE" TEXT, "AREAF" TEXT )	SELECT COMPANY_NMZ, BUSINESS_ADDRESSA FROM FOWI_FOREST_WELFARE_B_REG_STS WHERE AREAF = '충북' AND TYPE_PROFESSIONE = '유아숲교육업'	68,605
폐업 일자가 2011년인 사업장의 이름이 뭐야	CREATE TABLE "L_O_C_A_L_D_A_T_A_072101_Y_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "JTUPSOMAINEDF" TEXT, "HOMEPAGE" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072101_Y_C WHERE DCBYMD LIKE '2011%'	8,205
소재지에 가음동이 들어가는 업체의 이름을 신고 일자가 오래된 순으로 보여줘	CREATE TABLE "GN_MEDICAL_DEVICE_SELLER_STS" ( "SERIAL_NUMD" NUMERIC, "CITIES_COUNTIESE" TEXT, "RP_DTF" TEXT, "COMPANY_NMG" TEXT, "LOCH" TEXT )	SELECT COMPANY_NMG FROM GN_MEDICAL_DEVICE_SELLER_STS WHERE LOCH LIKE '%가음동%' ORDER BY RP_DTF	44,376
지번주소에 청담동이 들어가는 곳의 사업장명을 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_082501_G_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" TEXT, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "JPSENM" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_082501_G_N WHERE SITEWHLADDR LIKE '%청담동%'	32,955
가판 시설 운영 정보에서 시군구가 강남구인 곳의 법정동과 주변 정보를 알려줘	CREATE TABLE "SERVICER_GAPAN_INFO" ( "GAPAN_NO" TEXT, "SI_NM" TEXT, "GU_NM" TEXT, "BJ_NM" TEXT, "TYPE" TEXT, "BONBUN" NUMERIC, "BUBUN" NUMERIC, "WITH_DORO_NM" TEXT, "WITH_INFO" TEXT, "FT_TYP" TEXT, "FT_SEL" TEXT, "FACIL_L" NUMERIC, "FACIL_W" NUMERIC, "FACIL_H" NUMERIC, "PLACE_L" NUMERIC, "PLACE_H" NUMERIC, "PLACE_A" NUMERIC, "SECTION" TEXT, "MUL_FROMDATE" TEXT, "MUL_TODATE" TEXT )	SELECT BJ_NM, WITH_INFO FROM SERVICER_GAPAN_INFO WHERE GU_NM = '강남구'	41,354
온실가스의 고정 배출량이 51만 6300톤이고 간접 배출량이 1만 56톤인 배출량 기준일을 찾아줘	CREATE TABLE "KDHC_GREENHOUSE_GAS_ES_INFO" ( "BASE_DTV" TEXT, "FIXED_EMISSIONS_TCO2EW" TEXT, "I_E_T_DE" TEXT, "OTHER_EMISSIONS_TCO2EY" NUMERIC, "PROCESS_EMISSIONS_TCO2EZ" NUMERIC )	SELECT BASE_DTV FROM KDHC_GREENHOUSE_GAS_ES_INFO WHERE FIXED_EMISSIONS_TCO2EW = '516300' AND I_E_T_DE = '10056'	83,847
유동층 드럼형의 설치 대수는 얼마야	CREATE TABLE "PRE_USE_INSPECTION_STS_KR_ELECAL_SAFE_C_PW_PLANT" ( "MAJOR_CLASM" TEXT, "M_CLASN" TEXT, "SORTATIONO" TEXT, "CONTENTP" TEXT, "NUM_INSSQ" NUMERIC, "SHARE_SHARESR" TEXT )	SELECT NUM_INSSQ FROM PRE_USE_INSPECTION_STS_KR_ELECAL_SAFE_C_PW_PLANT WHERE CONTENTP = '유동층 드럼형'	79,769
아동이라는 글자를 포함하는 시설명을 보여줘	CREATE TABLE "FCLT_OPEN_INFO_S_D" ( "FCLT_NM" TEXT, "FCLT_CD" TEXT, "FCLT_KIND_NM" TEXT, "FCLT_KIND_DTL_NM" TEXT, "JRSD_SGG_NM" TEXT, "FCLT_ADDR" TEXT )	SELECT FCLT_NM FROM FCLT_OPEN_INFO_S_D WHERE FCLT_NM LIKE '%아동%'	33,818
업태명이 일식이거나 분식인 업소의 수가 얼마인지 알려줘	CREATE TABLE "MP_FOOD_HYGIENE_BIZ_LOC_MANAGE" ( "MP_FOOD_HYGIENE_CGG_CODE" NUMERIC, "MP_FOOD_HYGIENE_CGG_NM" TEXT, "REGN_NM" TEXT, "SNT_UPTAE_NM" TEXT, "CNT" TEXT )	SELECT CNT FROM MP_FOOD_HYGIENE_BIZ_LOC_MANAGE WHERE SNT_UPTAE_NM = '일식' OR SNT_UPTAE_NM = '분식'	3,273
용도에 자석이 들어가는 광물의 수출입 국가 이름을 수입 중량이 작은 순서대로 보여줘	CREATE TABLE "APP_KOMIR_TYPE_LIGHT" ( "TURN" NUMERIC, "MINERAL_NAME" TEXT, "PURPOSE" TEXT )	SELECT T2.STATE_NAME FROM APP_KOMIR_TYPE_LIGHT AS T1 JOIN IMPORT_EXPORT_STS_GWANGJONG_KOMIR_COUNTRY AS T2 ON T1.MINERAL_NAME = T2.NAMES_OF_GOODS WHERE T1.PURPOSE IN (SELECT PURPOSE FROM APP_KOMIR_TYPE_LIGHT WHERE PURPOSE LIKE '%자석%') ORDER BY T2.IMPORTED_WEIGHT	71,051
사립 학교의 이름을 알려줘	CREATE TABLE "NEIS_SCHOOL_INFO_MP" ( "ATPT_OFCDC_SC_CODE" TEXT, "ATPT_OFCDC_SC_NM" TEXT, "SD_SCHUL_CODE" NUMERIC, "SCHUL_NM" TEXT, "ENG_SCHUL_NM" TEXT, "SCHUL_KND_SC_NM" TEXT, "LCTN_SC_NM" TEXT, "JU_ORG_NM" TEXT, "FOND_SC_NM" TEXT, "ORG_RDNZC" NUMERIC, "ORG_RDNMA" TEXT, "ORG_TELNO" TEXT, "HMPG_ADRES" TEXT, "COEDU_SC_NM" TEXT, "ORG_FAXNO" TEXT, "SPCLY_PURPS_HS_ORD_NM" TEXT, "ENE_BFE_SEHF_SC_NM" TEXT, "DGHT_SC_NM" TEXT, "FOND_YMD" NUMERIC, "FOAS_MEMRD" NUMERIC, "ORD_SC_NM" TEXT, "DDDEP_NM" TEXT )	SELECT SCHUL_NM FROM NEIS_SCHOOL_INFO_MP WHERE FOND_SC_NM = '사립'	43,280
국내외 구분별로 업무 구분 코드가 결과로 시작하는 사업의 수와 국내외 구분을 찾아줘	CREATE TABLE "CONTENTS_ANNUAL_PRO_SU_KRN_STUDIES_CENTRAL_RESEARCH_I" ( "SERIAL_NUMB" NUMERIC, "APPLICATION_YEARC" NUMERIC, "BUSINESS_NMD" TEXT, "FIELD_APPLICATIONE" TEXT, "PROJECT_SUPPORT_DETAILSF" TEXT, "D_I_C_Q" TEXT, "PROJECT_SUPPORT_AMTH" NUMERIC, "S_D_N_A_A_S" TEXT, "N_A_A_E_D_T" TEXT, "NEW_PROJECT_SUPPORT_AMTK" NUMERIC, "BUSINESS_MONTHN" NUMERIC, "BUSINESS_CLAS_CDO" TEXT, "REGISTRARP" TEXT, "RE_DTQ" TEXT, "MODIFIERR" TEXT, "MODIFIED_DTS" TEXT )	SELECT D_I_C_Q, COUNT(DISTINCT BUSINESS_NMD) FROM CONTENTS_ANNUAL_PRO_SU_KRN_STUDIES_CENTRAL_RESEARCH_I WHERE BUSINESS_CLAS_CDO LIKE '결과%' GROUP BY D_I_C_Q	87,515
지번 주소에 한남동이 들어가는 사업장의 이름과 도로명 주소를 찾아줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_031304_Y_S" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMCNT" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT, "FRSTREGTS" TEXT )	SELECT BPLCNM, RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_031304_Y_S WHERE SITEWHLADDR LIKE '%한남동%'	22,043
1993년도에 인허가를 받고 소재지 면적이 90보다 넓은 단란 주점의 사업장명은 뭐야	CREATE TABLE "L_O_C_A_L_D_A_T_A_072301_G_J" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "HOMEPAGE" TEXT )	SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072301_G_J WHERE APVPERMYMD LIKE '1993%' AND SITEAREA > 90	3,540
사북읍의 건수가 170건 이상이거나 고한읍의 건수가 40건 이상일 때의 사용 일자를 최신순으로 정렬해줘	CREATE TABLE "KGLAND_HIGH1_POINT_ANNUAL_USAGE" ( "DT_USEM" TEXT, "INDUSTRYN" TEXT, "NUM_CASES_GOHAN_EUPO" NUMERIC, "NUM_CASES_SABUK_EUPP" NUMERIC, "NUM_JEONGSEON_GUN_CASESQ" NUMERIC, "NUM_TAEBAEK_CITYR" NUMERIC, "NUM_YEONGWOL_COUNTYS" NUMERIC, "NUM_CASES_SAMCHEOKT" NUMERIC )	SELECT DT_USEM FROM KGLAND_HIGH1_POINT_ANNUAL_USAGE WHERE NUM_CASES_GOHAN_EUPO >= 40 OR NUM_CASES_SABUK_EUPP >= 170 ORDER BY DT_USEM DESC	53,243
인거하 일자가 2000년인 동물 병원의 지번 주소가 어디야	CREATE TABLE "L_O_C_A_L_D_A_T_A_020301_S_B" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "LINDJOBGBNNM" TEXT, "LINDSEQNO" TEXT, "RGTMBDSNO" NUMERIC, "TOTEPNUM" TEXT )	SELECT SITEWHLADDR FROM L_O_C_A_L_D_A_T_A_020301_S_B WHERE APVPERMYMD LIKE '2000%'	2,432
번호가 180인 사업장의 소재지 면적은 얼마야	CREATE TABLE "DUTY_BUILD_INFO" ( "ID" TEXT, "NM" TEXT, "ADDR_OLD" TEXT, "ADDR" TEXT, "PERMISSION_DT" TEXT, "STATE" TEXT, "STOP_DT" TEXT, "SUSPENSION_END_DT" TEXT, "AREA" NUMERIC, "POST" NUMERIC, "OWNER_TYPE" TEXT, "USEDBYMANYPEOPLE" TEXT, "HYGIENE_TYPE" TEXT, "HYGIENE_CONDITIONS" TEXT, "TEL" TEXT, "XCODE" TEXT, "YCODE" TEXT )	SELECT AREA FROM DUTY_BUILD_INFO WHERE ID = '180'	35,069
시도 및 주소별로 보건복지부 사전연명의료의향서 등록 현황 중 70대 여가 70대 남의 평균 이상이고 70대 남이 5명 이상인 기관의 시도와 주소를 보여줘	CREATE TABLE "STS_MOHW_PRE_LIFE_SUSTAINING_T_LETTER_REG_AGENCY" ( "ATTEMPT" TEXT, "TYPE_ORGAN" TEXT, "NAME_ORGANIZATION" TEXT, "PHONE_NUMBER" TEXT, "ADDRESS" TEXT, "LATITUDE" NUMERIC, "HARDNESS" NUMERIC )	SELECT T1.ATTEMPT, T1.ADDRESS FROM STS_MOHW_PRE_LIFE_SUSTAINING_T_LETTER_REG_AGENCY AS T1 JOIN STS_REG_MOHW_ADVANCE_LIFE_SUSTAINING_T_LETTER AS T2 ON T1.ATTEMPT = T2.ATTEMPT WHERE T2.WOMAN_HER_70S >= (SELECT AVG(MAN_HIS_70S) FROM STS_REG_MOHW_ADVANCE_LIFE_SUSTAINING_T_LETTER) AND T2.MAN_HIS_70S >= 5 GROUP BY T1.ATTEMPT, T1.ADDRESS	46,596
2003년에 인허가를 받은 공중위생업소와 주소가 같은 세탁업소의 신고 일자는 언제야	CREATE TABLE "P_HEALTH_ES_BUAN_GUN_JEONBUK" ( "INDUSTRY_NAME" TEXT, "REPORT_DATE" TEXT, "BUSINESS_NAME" TEXT, "ADDRESS" TEXT, "DATA_STANDARD_DATE" TEXT )	SELECT T1.REPORT_DATE FROM P_HEALTH_ES_BUAN_GUN_JEONBUK AS T1 JOIN FOOD_SANITATION_SERVICE_BUAN_GUN_JEONBUK AS T2 ON T1.ADDRESS = T2.ADDRESS WHERE T2.ADDRESS IN (SELECT ADDRESS FROM FOOD_SANITATION_SERVICE_BUAN_GUN_JEONBUK WHERE LICENSE_DATE LIKE '2003%') AND T1.INDUSTRY_NAME = '세탁업'	46,765
회수 금액이 200000 초과이면서 회수 이자 금액이 15000 초과인 납입 일자가 언제야	CREATE TABLE "HF_DIFFERENCE_SETTLEMENT_DETAILS" ( "LIQUIDATION_PLAN_CDH" TEXT, "PAY_ORDERJ" NUMERIC, "TRANSACTION_ORDERK" NUMERIC, "HANDLING_AGENCY_CDL" TEXT, "TRANSACTION_DTM" TEXT, "PAY_DTN" TEXT, "RECOVERY_AMTO" NUMERIC, "RECOVERY_INTEREST_AMTP" NUMERIC, "PREVIOUS_RECOVERY_FEEQ" NUMERIC, "T_C_I_A_CV" NUMERIC, "T_C_L_F_A_DE" NUMERIC, "R_P_D_XZ" NUMERIC, "R_I_D_A" NUMERIC, "REGISTERED_COMPANY_NUMV" NUMERIC, "PROCESSING_STAW" TEXT )	SELECT PAY_DTN FROM HF_DIFFERENCE_SETTLEMENT_DETAILS WHERE RECOVERY_AMTO > 200000 AND RECOVERY_INTEREST_AMTP > 15000	79,821
신청 사유가 가족으로 시작하거나 정치적 의견인 난민 신청자의 건수를 보여줘	CREATE TABLE "STS_REFUGEE_APPLICANTS_REASON_APP_MOJ_62_YEAR" ( "YEAR" NUMERIC, "REASON_APPLICATION" TEXT, "NUMBER_CASES" NUMERIC )	SELECT NUMBER_CASES FROM STS_REFUGEE_APPLICANTS_REASON_APP_MOJ_62_YEAR WHERE REASON_APPLICATION LIKE '가족%' OR REASON_APPLICATION = '정치적의견'	47,125
노인이 들어가는 시설의 이름을 찾아줘	CREATE TABLE "FCLT_OPEN_INFO_S_M" ( "FCLT_NM" TEXT, "SDM_WELFARE_FCLT_CD" TEXT, "FCLT_KIND_NM" TEXT, "FCLT_KIND_DTL_NM" TEXT, "SDM_WELFARE_JRSD_SGG_NM" TEXT, "FCLT_ADDR" TEXT )	SELECT FCLT_NM FROM FCLT_OPEN_INFO_S_M WHERE FCLT_NM LIKE '%노인%'	33,242
정원이 300명 이상인 강좌의 이름을 비용이 큰 순부터 보여줘	CREATE TABLE "FIFTY_POTAL_EDU_INFO" ( "LCT_NO" NUMERIC, "LCT_NM" TEXT, "REG_STDE" TEXT, "REG_EDDE" TEXT, "CR_STDE" TEXT, "CR_EDDE" TEXT, "HR" TEXT, "CR_PPL_STAT" NUMERIC, "LCT_STAT" TEXT, "LCT_COST" NUMERIC, "CR_URL" TEXT )	SELECT LCT_NM FROM FIFTY_POTAL_EDU_INFO WHERE CR_PPL_STAT >= 300 ORDER BY LCT_COST DESC	30,105
2022년 4월 상담 실적의 합계와 기관 및 유형을 보여줘	CREATE TABLE "GLOBAL_JOB_COUNSEL_LNG_TYPE_RST" ( "YYYYMM" TEXT, "CATEGORY_NM" TEXT, "TYPE0" NUMERIC, "TYPE1" NUMERIC, "TYPE2" NUMERIC, "TYPE4" NUMERIC, "TYPE5" NUMERIC, "TYPE6" NUMERIC, "TYPE7" NUMERIC, "TYPE8" NUMERIC, "TYPE9" NUMERIC, "TYPE10" NUMERIC, "TYPE11" NUMERIC, "TYPE12" NUMERIC, "TYPE13" NUMERIC, "TYPE14" NUMERIC, "TYPE15" NUMERIC, "TYPE_SUM" NUMERIC )	SELECT TYPE_SUM, CATEGORY_NM FROM GLOBAL_JOB_COUNSEL_LNG_TYPE_RST WHERE YYYYMM LIKE '202204%'	33,908
약정 건수가 100건 이상이거나 70건 이하인 CA 사의 이름을 보여줘	CREATE TABLE "STS_M_CONTRACT_KR_ASSET_MNG_C_CONST_BOND_CA" ( "CONTRACT_YEAR_MONTHZ" TEXT, "CA_CORPORATIONA" TEXT, "ORDERB" NUMERIC, "NUM_AGREEMENTSC" NUMERIC )	SELECT CA_CORPORATIONA FROM STS_M_CONTRACT_KR_ASSET_MNG_C_CONST_BOND_CA WHERE NUM_AGREEMENTSC >= 100 OR NUM_AGREEMENTSC <= 70	66,582
급속 충전기 타입의 충전소 명칭과 충전량을 보여줘	CREATE TABLE "UTILIZATION_ELECTRIC_VEHICLE_CHARGERS_DAEGU" ( "STRAIGHT_LINE" TEXT, "CHARGING_STATION_ID" NUMERIC, "NAME_CHARGING_STATION" TEXT, "LATITUDE" NUMERIC, "HARDNESS" NUMERIC, "CHARGER_ID" NUMERIC, "CHARGER_TYPE" TEXT, "NUMBER_USES" NUMERIC, "CHARGING_AMOUNT" NUMERIC )	SELECT NAME_CHARGING_STATION, CHARGING_AMOUNT FROM UTILIZATION_ELECTRIC_VEHICLE_CHARGERS_DAEGU WHERE CHARGER_TYPE = '급속'	57,436
사업소 코드가 107이거나 구분이 C로 시작하는 사업소의 이름이 뭐야	CREATE TABLE "KDHC_HEAT_PRODION_INFO" ( "YEARO" NUMERIC, "BUSINESS_OFFICE_CDP" NUMERIC, "NM_BUSINESS_OFFICEQ" TEXT, "SORTATIONR" TEXT, "CLAS_CDS" NUMERIC, "JANT" NUMERIC, "FEBU" NUMERIC, "MARV" NUMERIC, "APRW" NUMERIC, "MAYX" NUMERIC, "JUNY" NUMERIC, "JULZ" NUMERIC, "AUGA" NUMERIC, "SEPTB" NUMERIC, "OCTC" NUMERIC, "NOVD" NUMERIC, "DECE" NUMERIC )	SELECT NM_BUSINESS_OFFICEQ FROM KDHC_HEAT_PRODION_INFO WHERE BUSINESS_OFFICE_CDP = 107 OR SORTATIONR LIKE 'C%'	64,251
구로 끝나는 지역의 2021년 지가지수를 큰 순서대로 보여줘	CREATE TABLE "REB_N_LAND_PRICE_FLUCTUATION_RATE_SURVEY_REGION_YEAR" ( "AREAW" TEXT, "Y_1987X" TEXT, "Y_1988Y" TEXT, "Y_1989Z" TEXT, "Y_1990A" TEXT, "Y_1991B" TEXT, "Y_1992C" TEXT, "Y_1993D" TEXT, "Y_1994E" TEXT, "Y_1995F" TEXT, "Y_1996G" TEXT, "Y_1997H" TEXT, "Y_1998I" TEXT, "Y_1999J" TEXT, "Y_2000K" TEXT, "Y_2001L" TEXT, "Y_2002M" TEXT, "Y_2003N" TEXT, "Y_2004O" TEXT, "Y_2005P" TEXT, "Y_2006Q" TEXT, "Y_2007R" TEXT, "Y_2008S" TEXT, "Y_2009T" TEXT, "Y_2010U" TEXT, "Y_2011V" TEXT, "Y_2012W" TEXT, "Y_2013X" TEXT, "Y_2014Y" TEXT, "Y_2015Z" TEXT, "Y_2016A" TEXT, "Y_2017B" TEXT, "Y_2018C" TEXT, "Y_2019D" TEXT, "Y_2020E" TEXT, "Y_2021F" TEXT )	SELECT Y_2021F FROM REB_N_LAND_PRICE_FLUCTUATION_RATE_SURVEY_REGION_YEAR WHERE AREAW LIKE '%구' ORDER BY Y_2021F DESC	50,169
농어촌 버스의 노선 번호와 종점을 알려줘	CREATE TABLE "ROUTE_NO_TABLE_RURAL_BUSES_CHEONGYANG_GUN_CHUNGNAM" ( "TOWN" TEXT, "ROUTE_NUMBER" NUMERIC, "STARTING_POINT" TEXT, "PASSAGE_1" TEXT, "PASSAGE_2" TEXT, "THROUGH_3" TEXT, "PASSAGE_4" TEXT, "PASSAGE_5" TEXT, "TERMINAL" TEXT, "DIRECTION" TEXT )	SELECT ROUTE_NUMBER, TERMINAL FROM ROUTE_NO_TABLE_RURAL_BUSES_CHEONGYANG_GUN_CHUNGNAM	72,307
동대문구에 있는 약국의 이름과 약국 전화번호를 알려줘	CREATE TABLE "PHARM_LIST_VIEW_INFO" ( "ADDRESS1" TEXT, "PHARM_NAME" TEXT, "TEL_NUM" TEXT )	SELECT PHARM_NAME, TEL_NUM FROM PHARM_LIST_VIEW_INFO WHERE ADDRESS1 = '동대문구'	3,911
건물 면적과 건물 높이를 알려줘	CREATE TABLE "TN_BULD_SOLAR_DVLP" ( "BUL_MAN_NO" TEXT, "BULD_NM" TEXT, "FLOOR_CO" TEXT, "BULD_HG" NUMERIC, "BULD_AR" NUMERIC, "TOT_SG_QY" NUMERIC, "JAN_SG_QY" NUMERIC, "FEB_SG_QY" NUMERIC, "MAR_SG_QY" NUMERIC, "APR_SG_QY" NUMERIC, "MAY_SG_QY" NUMERIC, "JUN_SG_QY" NUMERIC, "JULY_SG_QY" NUMERIC, "AUG_SG_QY" NUMERIC, "SEP_SG_QY" NUMERIC, "OCT_SG_QY" NUMERIC, "NOV_SG_QY" NUMERIC, "DEC_SG_QY" NUMERIC, "ONEQU_SG_QY" NUMERIC, "TWOQU_SG_QY" NUMERIC, "THREEQU_SG_QY" NUMERIC, "FOURQU_SG_QY" NUMERIC, "SOLAR_SHDW_RATE" NUMERIC, "X_UTMK" NUMERIC, "Y_UTMK" NUMERIC )	SELECT BULD_AR, BULD_HG FROM TN_BULD_SOLAR_DVLP	37,602
전화번호가 0205422840인 사업장의 위생 업태명을 알려줘	CREATE TABLE "L_O_C_A_L_D_A_T_A_114401" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "BDNGJISGFLRCNT" TEXT, "BDNGUNDERFLRCNT" TEXT, "USEJISGSTFLR" TEXT, "USEJISGENDFLR" TEXT, "USEUNDERSTFLR" TEXT, "USEUNDERENDFLR" TEXT, "HANSHILCNT" TEXT, "YANGSILCNT" TEXT, "YOKSILCNT" TEXT, "BALHANSILYN" TEXT, "CHAIRCNT" TEXT, "CNDPERMNTWHY" TEXT, "CNDPERMENDYMD" TEXT, "BDNGOWNSENM" TEXT, "WASHMCCNT" TEXT, "WMEIPCNT" TEXT, "ABEDCNT" TEXT, "MULTUSNUPSOYN" TEXT )	SELECT SNTUPTAENM FROM L_O_C_A_L_D_A_T_A_114401 WHERE SITETEL = '0205422840'	8,518
농기계정비기능사 대회의 직종을 알려줘	CREATE TABLE "STS_EXEMPTION_Q_HRDK_COMPETITION_WINNERS" ( "DIVISION_LABORATORYN" TEXT, "PROFESSION_COMPETITIONO" TEXT, "LOCAL_CONVENTIONP" TEXT, "NATIONAL_CONVENTIONQ" TEXT, "I_C_L" TEXT )	SELECT PROFESSION_COMPETITIONO FROM STS_EXEMPTION_Q_HRDK_COMPETITION_WINNERS WHERE LOCAL_CONVENTIONP = '농기계정비기능사'	50,796
소뷴류가 업으로 끝나고 대학원 졸업 석사가 10 이상인 업종명과 남부아시아 진출이 몇 명인지 알려줘	CREATE TABLE "EDUAL_BACKGROUND_INFO_KISED_START_UP_ENTREPRENEURS" ( "CATEGOTY_1" TEXT, "CATEGOTY_2" TEXT, "MID_SCH" NUMERIC, "HIG_SCH" NUMERIC, "COL_SCH" NUMERIC, "UNIV_SCH" NUMERIC, "MASTER" NUMERIC, "DOCTOR" NUMERIC )	SELECT T1.CATEGOTY_2, T2.SOUTH_ASIA FROM EDUAL_BACKGROUND_INFO_KISED_START_UP_ENTREPRENEURS AS T1 JOIN STS_OVERSEAS_EXPANSION_KISED_START_UP_CO AS T2 ON T1.CATEGOTY_2 = T2.CATEGOTY_2 WHERE T1.CATEGOTY_2 LIKE '%업' AND T1.CATEGOTY_2 IN (SELECT CATEGOTY_2 FROM EDUAL_BACKGROUND_INFO_KISED_START_UP_ENTREPRENEURS WHERE MASTER >= 10)	70,463

차수가 11차 이상인 설문의 시작일과 종료일을 찾아줘

CREATE TABLE "S_I_W_N_H_R_D_C_K_C_R_E_S_S" ( "NUMW" NUMERIC, "ORDERX" NUMERIC, "ITEM_NMY" TEXT, "ITEM_TYPEZ" NUMERIC, "NUM_ITEMSA" NUMERIC, "RESPONSE_NM_1B" TEXT, "RESPONSE_NM_2C" TEXT, "RESPONSE_NM_3D" TEXT, "RESPONSE_NM_4E" TEXT, "RESPONSE_NM_5F" TEXT, "SURVEY_TARGETJ" TEXT, "REVISION_DTK" TEXT, "TITLEL" TEXT, "NUMM" NUMERIC, "START_DTN" NUMERIC, "END_DTO" NUMERIC, "RE_DTP" NUMERIC, "MEMOQ" TEXT )

SELECT START_DTN, END_DTO FROM S_I_W_N_H_R_D_C_K_C_R_E_S_S WHERE ORDERX >= 11

68,304

출발 항로명이 조정 면허 시험장 계류 시설이 아닌 곳의 도착 항로명을 사전 배열순으로 중복 없이 알려줘

CREATE TABLE "KCG_GUIDE_LINE_ROUTE_INFO" ( "NM_ROUTEU" TEXT, "DEPARTURE_ROUTE_NMV" TEXT, "DESTINATION_ROUTE_NMW" TEXT, "DEPARTURE_ROUTE_ADDRESSX" TEXT, "D_R_A_Q" TEXT, "D_B_D_RC" TEXT, "NM_ANCHORAGEA" TEXT )

SELECT DISTINCT DESTINATION_ROUTE_NMW FROM KCG_GUIDE_LINE_ROUTE_INFO WHERE DEPARTURE_ROUTE_NMV != '조정면허시험장 계류시설' ORDER BY DESTINATION_ROUTE_NMW

82,845

소재지 지번 주소에 진위면이 들어가거나 구분이 평택호인 물놀이 안전시설의 설치 위치를 알려줘

CREATE TABLE "STS_GGPT_W_PLAY_SAFE_FAC" ( "CITY_PROVINCEX" TEXT, "NM_CITY_COUNTY_DISTRICTY" TEXT, "SORTATIONZ" TEXT, "LOC_NUM_ADDRESSA" TEXT, "LATITUDEB" NUMERIC, "HARDNESSC" NUMERIC, "INS_LOCD" TEXT, "N_W_P_I_S_C_XZ" NUMERIC, "N_D_A_I_S_A" NUMERIC, "LIFE_SAVING_FUNCTIONG" NUMERIC, "NM_MANAGEMENT_AGENCYH" TEXT, "M_A_P_N_DE" TEXT, "DATA_BASE_DTJ" TEXT )

SELECT INS_LOCD FROM STS_GGPT_W_PLAY_SAFE_FAC WHERE LOC_NUM_ADDRESSA LIKE '%진위면%' OR SORTATIONZ = '평택호'

76,503

설치 연도가 2010년이거나 2011년인 충전소의 이름과 지역을 나타내줘

CREATE TABLE "C_STS_ELEC_VE_CHARGERS_KECO_ME_P_RAPID_CHARGERS" ( "AREAC" TEXT, "CHARGING_STATION_NMD" TEXT, "CHARGER_IDE" NUMERIC, "INS_YEARF" NUMERIC, "ADDRESSG" TEXT )

SELECT CHARGING_STATION_NMD, AREAC FROM C_STS_ELEC_VE_CHARGERS_KECO_ME_P_RAPID_CHARGERS WHERE INS_YEARF = 2010 OR INS_YEARF = 2011

80,846

주변 환경명이 주택가 주변인 곳의 소재지 우편번호를 보여줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_030901_D_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "POSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT )

SELECT POSTNO FROM L_O_C_A_L_D_A_T_A_030901_D_D WHERE NEARENVNM = '주택가주변'

19,589

2017년에 취득세를 납부한 개인 납세자의 수는 몇 명이야

CREATE TABLE "C_STS_LOCAL_TAX_TAXPAYERS_INJE_GUN_GW" ( "CITY_PROVINCEC" TEXT, "TAX_YEARF" NUMERIC, "NM_DETAILG" TEXT, "TAX_FREE_TYPEH" TEXT, "OUTSIDE_JURISDICTIONI" TEXT, "NUM_TAXPAYERSJ" NUMERIC )

SELECT NUM_TAXPAYERSJ FROM C_STS_LOCAL_TAX_TAXPAYERS_INJE_GUN_GW WHERE TAX_YEARF = 2017 AND NM_DETAILG = '취득세' AND TAX_FREE_TYPEH = '개인'

60,284

정부 형태가 내각책임제이며 인구가 1억명 이상인 나라의 수도를 알려줘

CREATE TABLE "GENERAL_STS_MOFA_COUNTRY" ( "KOREAN_NATIONAL_NAME" TEXT, "ENGLISH_COUNTRY_NAME" TEXT, "COUNTRY_CODE" TEXT, "CAPITAL" TEXT, "POPULATION" NUMERIC, "POPULATION_DESCRIPTION" TEXT, "AREA" NUMERIC, "AREA_DESCRIPTION" TEXT, "LANGUAGE" TEXT, "ETHNIC_GROUP" TEXT, "RELIGION" TEXT, "CLIMATE" TEXT, "FOUNDING_NATION" TEXT )

SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%내각책임제%') AND T1.POPULATION >= 100000000

52,393

특허명에 비디오가 포함되거나 영상 부호화 장치인 특허의 출원국을 중복 없이 보여줘

CREATE TABLE "ETRI_PATENT_REG_STS" ( "NUMP" NUMERIC, "PATENT_NMQ" TEXT, "APPLICATION_DTR" TEXT, "RE_DTS" TEXT, "APPLICANT_COUNTRYT" TEXT )

SELECT DISTINCT APPLICANT_COUNTRYT FROM ETRI_PATENT_REG_STS WHERE PATENT_NMQ LIKE '%비디오%' OR PATENT_NMQ = '영상 부호화 장치'

67,849

8월에 번호판을 영치한 건수를 보여줘

CREATE TABLE "CSCY_PUBLIC_VIEW_G_A" ( "GA_CAR_CUSTODY_CSDY_YYYY" TEXT, "GA_CAR_CUSTODY_CSDY_MM" NUMERIC, "GA_CAR_CUSTODY_SIDO" TEXT, "GA_CAR_CUSTODY_ATDRC_CODE" NUMERIC, "GA_CAR_CUSTODY_CSDY_COUNT" TEXT )

SELECT GA_CAR_CUSTODY_CSDY_COUNT FROM CSCY_PUBLIC_VIEW_G_A WHERE GA_CAR_CUSTODY_CSDY_MM = 8

41,436

외국인 수가 2000명 이상이거나 500명 이하인 현황의 시군구명을 중복되지 않게 보여줘

CREATE TABLE "POP_033" ( "STATS_YR" TEXT, "SIGUNGU_NM" TEXT, "SEX_NM" TEXT, "AGEGRD_NM" TEXT, "FRGNR_POPL_CNT" NUMERIC, "ADMDONG_CD" TEXT )

SELECT DISTINCT SIGUNGU_NM FROM POP_033 WHERE FRGNR_POPL_CNT >= 2000 OR FRGNR_POPL_CNT <= 500

88,905

1984년도에 인허가를 받은 대기오염물질 배출시설 설치사업장의 최종 수정 일자와 데이터 갱신 일자는 언제야

CREATE TABLE "L_O_C_A_L_D_A_T_A_093008_G_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "JONGGBNNM" TEXT, "DISCFACILOPRTNPD" TEXT, "PVTFACILOPRTNPD" TEXT )

SELECT LASTMODTS, UPDATEDT FROM L_O_C_A_L_D_A_T_A_093008_G_R WHERE APVPERMYMD LIKE '1984%'

36,052

코드가 33으로 끝나는 산업 분류 현황의 항목을 알려줘

CREATE TABLE "C_STS_KEPCO_I_CLASSIFICATION" ( "NUMF" NUMERIC, "CDG" NUMERIC, "ITEM_NMH" TEXT )

SELECT ITEM_NMH FROM C_STS_KEPCO_I_CLASSIFICATION WHERE CDG LIKE '%33'

50,714

구인 제목이 조리사이거나 돌봄 교사인 정보의 담당 센터와 기업명을 마감일이 오래된 순서대로 정렬해줘

CREATE TABLE "JOB_OFFER" ( "INFOID" TEXT, "MANAGE_ORGAN_NAME" TEXT, "COMPANYNAME" TEXT, "TITLE" TEXT, "WORKADDRESS_NM" TEXT, "WORKADDRESS" TEXT, "CLOSE_DATE" TEXT, "STATUS_NM" TEXT )

SELECT MANAGE_ORGAN_NAME, COMPANYNAME FROM JOB_OFFER WHERE TITLE = '조리사' OR TITLE = '돌봄교사' ORDER BY CLOSE_DATE

33,812

2004년도에 폐업하거나 사업장 이름이 산업연구원인 위탁급식영업 업체의 인허가 일자와 최종 수정 일자는 언제야

CREATE TABLE "L_O_C_A_L_D_A_T_A_072101_D_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "HOMEPAGE" TEXT )

SELECT APVPERMYMD, LASTMODTS FROM L_O_C_A_L_D_A_T_A_072101_D_D WHERE DCBYMD LIKE '2004%' OR BPLCNM = '산업연구원'

9,416

충전 용량이 50킬로와트 이상인 충전소의 이름을 가나다 역순으로 중복 없이 나열해줘

CREATE TABLE "CHARGER_CAPACITY_INFO_KEPCO_CHARGER" ( "CHARGING_STATION_IDU" NUMERIC, "CHARGING_STATION_NMV" TEXT, "CHARGER_IDW" NUMERIC, "CHARGER_NMX" TEXT, "CHARGING_CP_KWY" NUMERIC )

SELECT DISTINCT CHARGING_STATION_NMV FROM CHARGER_CAPACITY_INFO_KEPCO_CHARGER WHERE CHARGING_CP_KWY >= 50 ORDER BY CHARGING_STATION_NMV DESC

68,692

대업종별로 2019년 사망자 수가 5명 미만이거나 2019년 근로자 수가 5000명 미만인 산업의 수를 대업종와 함께 보여줘

CREATE TABLE "NUM_WORKERS_KOSHA_I_MIDDLE_CLASSIFICATION" ( "LARGE_INDUSTRY" TEXT, "SORTATION" TEXT, "Y_2004" NUMERIC, "Y_2005" NUMERIC, "Y_2006" NUMERIC, "Y_2007" NUMERIC, "Y_2008" NUMERIC, "Y_2009" NUMERIC, "Y_2010" NUMERIC, "Y_2011" NUMERIC, "Y_2012" NUMERIC, "Y_2013" NUMERIC, "Y_2014" NUMERIC, "Y_2015" NUMERIC, "Y_2016" NUMERIC, "Y_2017" NUMERIC, "Y_2018" NUMERIC, "Y_2019" NUMERIC, "Y_2020" NUMERIC, "Y_2021" NUMERIC )

SELECT T1.LARGE_INDUSTRY, COUNT(T2.SORTATION) FROM NUM_WORKERS_KOSHA_I_MIDDLE_CLASSIFICATION AS T1 JOIN NUM_ACCIDENT_VICTIMS_KOSHA_I_MIDDLE_CLASSIFICATION AS T2 ON T1.SORTATION = T2.SORTATION WHERE T1.SORTATION IN (SELECT SORTATION FROM NUM_WORKERS_KOSHA_I_MIDDLE_CLASSIFICATION WHERE Y_2019 < 5) OR T1.Y_2019 < 5000 GROUP BY T1.LARGE_INDUSTRY

84,974

전화번호에 40이 들어가고 자본금이 5000000 이상인 곳의 사업장명을 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_082603_N_W" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "ASETSCP" TEXT, "BCTOTAM" TEXT, "CAPT" TEXT, "SILMETNM" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_082603_N_W WHERE CAPT >= 5000000 AND SITETEL LIKE '%40%'

28,642

드림코리아의 인허가 일자와 재개업 일자는 언제야

CREATE TABLE "L_O_C_A_L_D_A_T_A_082603_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "X" TEXT, "Y" TEXT, "ASETSCP" TEXT, "BCTOTAM" TEXT, "CAPT" TEXT, "SILMETNM" TEXT )

SELECT ROPNYMD, APVPERMYMD FROM L_O_C_A_L_D_A_T_A_082603_S_P WHERE BPLCNM = '드림코리아'

31,137

전력 거래량이 1 미만인 거래일과 시간을 거래일이 최근인 순서대로 보여줘

CREATE TABLE "KPX_SOLAR_PW_GENERATION_SEOUL" ( "FUEL_SOURCET" TEXT, "REGIONAL_DETAIL_CLASU" TEXT, "TRADING_DAYV" TEXT, "TIMEW" NUMERIC, "P_T_V_M_U" NUMERIC )

SELECT TRADING_DAYV, TIMEW FROM KPX_SOLAR_PW_GENERATION_SEOUL WHERE P_T_V_M_U < 1 ORDER BY TRADING_DAYV DESC

62,466

상세 영업 상태명이 직권 말소인 사업장의 이름을 찾아줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_103101_M_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "PUPRSENM" TEXT, "INSURJNYNCODE" TEXT, "LDERCNT" TEXT, "BDNGDNGNUM" TEXT, "BDNGYAREA" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_103101_M_P WHERE DTLSTATENM = '직권말소'

21,490

번호판이 압수된 월이 5월인 정보의 해당 영치 건수와 영치 건수의 합계를 보여줘

CREATE TABLE "CSCY_PUBLIC_VIEW_Y_C" ( "CSDY_YYYY" TEXT, "CSDY_MM" NUMERIC, "YC_CAR_CUSTODY_SIDO" TEXT, "YC_CAR_CUSTODY_ATDRC_CODE" NUMERIC, "CSDY_COUNT" TEXT )

SELECT CSDY_COUNT, SUM(CSDY_COUNT) FROM CSCY_PUBLIC_VIEW_Y_C WHERE CSDY_MM = 5 GROUP BY CSDY_COUNT

41,379

세종예술아카데미 강좌 및 수강신청 정보에서 스퀘어 홀에서 하는 강좌를 알려줘

CREATE TABLE "S_J_W_ACADEMY_P_R_G" ( "SEQ" TEXT, "M_STATE" TEXT, "CATE_NAME" TEXT, "P_NAME" TEXT, "M_PLACE" TEXT, "FILE_URL" TEXT, "M_NAME" TEXT, "S_DATE" TEXT, "E_DATE" TEXT, "P_LIMIT" TEXT, "TEL_NO" TEXT, "P_NUM" TEXT, "WEEKTIME" TEXT, "M_COST" TEXT, "DISCOUNT" TEXT, "DISCOUNTALL" TEXT, "M_CONTENT1" TEXT, "M_CONTENT2" TEXT, "PROFILE" TEXT, "M_CONTENT3" TEXT )

SELECT P_NAME FROM S_J_W_ACADEMY_P_R_G WHERE M_PLACE = '스퀘어홀'

21,725

선적항에 보령시가 들어가는 어선의 총톤수 평균을 알려줘

CREATE TABLE "STS_INSPECTION_KOMSA_FISHING_BOAT" ( "FISHING_TURN" NUMERIC, "FISHING_DIVISION" TEXT, "FISHING_TOTAL_TONNAGE" NUMERIC, "FISHING_LENGTH" NUMERIC, "FISHING_WIDTH" NUMERIC, "FISHING_DEPTH" NUMERIC, "FISHING_PROPOSING" TEXT, "FISHING_PURPOSE" TEXT, "FISHING_DETAILS" TEXT, "FISHING_SHIPMENT" TEXT )

SELECT AVG(FISHING_TOTAL_TONNAGE) FROM STS_INSPECTION_KOMSA_FISHING_BOAT WHERE FISHING_SHIPMENT LIKE '%보령시%'

60,885

승인 합계와 신규 건설 중인 국가와 건설 중의 원자로 개수 알려줘

CREATE TABLE "KHNP_WORLD_NP_PLANT_O_STS" ( "CATEGOTY" TEXT, "NATION" TEXT, "OPERATING_ATOMIC_REACTOR" NUMERIC, "OPERATING_FACILITY_CAPACITY" NUMERIC, "UNDER_CONSTRUCTION_REACTOR" NUMERIC, "UNDER_CONSTRUCTION_FACILITY_CAPACITY" NUMERIC, "CLOSED_ATOMIC_REACTOR" NUMERIC, "CLOSURE_FACILITY_CAPACITY" NUMERIC )

SELECT T1.TAL_APPROVAL, T2.NATION, T2.UNDER_CONSTRUCTION_REACTOR FROM STS_PERMANENT_SUSPENSION_DISMANTLING_KHNP_WORLD_NP_PLANT_O AS T1 JOIN KHNP_WORLD_NP_PLANT_O_STS AS T2 ON T1.NATION = T2.NATION WHERE T2.NATION IN (SELECT NATION FROM KHNP_WORLD_NP_PLANT_O_STS) AND T2.CATEGOTY = '신규 건설'

70,560

상품 코드 설명이 국가로 시작하거나 장학 상품 유형 코드 설명이 신규인 정보의 장학 연도를 보여줘

CREATE TABLE "KOSAF_SCHOLARSHIP_BASIC_INFO_MNG_SCHOLARSHIP_SCHEDULE_BASIC" ( "PRODUCT_CDO" TEXT, "PRODUCT_CD_DESCRIPTIONP" TEXT, "S_P_T_C_J" NUMERIC, "S_P_T_C_D_K" TEXT, "SCHOLARSHIP_SCHOOLS" NUMERIC, "SCHOLARSHIP_SEMESTERT" NUMERIC, "SCHOLARSHIP_MEETINGU" NUMERIC, "BUSINESS_START_DTV" TEXT, "BUSINESS_TERMINATION_DTW" TEXT )

SELECT SCHOLARSHIP_SCHOOLS FROM KOSAF_SCHOLARSHIP_BASIC_INFO_MNG_SCHOLARSHIP_SCHEDULE_BASIC WHERE PRODUCT_CD_DESCRIPTIONP LIKE '국가%' OR S_P_T_C_D_K = '신규'

87,241

시설명에 롯데리아가 들어간 곳의 담당구와 주소를 알려줘

CREATE TABLE "TOURIST_FOOD_INFO" ( "SEQ" NUMERIC, "SISULNAME" TEXT, "GU" TEXT, "ADDR" TEXT, "TEL" TEXT, "HOMEPAGE" TEXT, "HIT" TEXT, "ST1" TEXT, "ST2" TEXT, "ST3" TEXT, "ST4" TEXT, "ST5" TEXT, "ST6" TEXT, "ST7" TEXT, "ST9" TEXT, "ST10" TEXT, "ST11" TEXT, "ST12" TEXT )

SELECT GU, ADDR FROM TOURIST_FOOD_INFO WHERE SISULNAME LIKE '%롯데리아%'

33,128

서초꽃마을주유소의 휴업 시작 일자를 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_092808_S_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CAPT" TEXT, "UPCHNM" TEXT )

SELECT CLGSTDT FROM L_O_C_A_L_D_A_T_A_092808_S_C WHERE BPLCNM = '서초꽃마을주유소'

32,167

행정구와 행정동을 알려줘

CREATE TABLE "SEBC_ART_GALLERY_KOR" ( "MAIN_KEY" TEXT, "CATE1_NAME" TEXT, "CATE2_NAME" TEXT, "CATE3_NAME" TEXT, "NM_DP" TEXT, "NAME_KOR" TEXT, "ADD_KOR" TEXT, "ADD_KOR_ROAD" TEXT, "H_KOR_GU" TEXT, "H_KOR_DONG" TEXT )

SELECT H_KOR_GU, H_KOR_DONG FROM SEBC_ART_GALLERY_KOR

20,995

회원가입 합계가 402명일 때 날짜를 찾아줘

CREATE TABLE "STS_ONBID_MEMBERSHIP_KR_ASSET_MNG_C" ( "DTV" TEXT, "DAY_WEEKW" TEXT, "S_N_M_R_I_C" NUMERIC, "S_N_M_R_G_M_DE" NUMERIC, "SUMZ" NUMERIC )

SELECT DTV FROM STS_ONBID_MEMBERSHIP_KR_ASSET_MNG_C WHERE SUMZ = 402

49,704

자치구명이 영등포이거나 서대문구인 곳의 정원 합계는 얼마야

CREATE TABLE "STAT_SISUL_FIXED_NUMBER_INFO" ( "STYEAR" TEXT, "ARCODE" NUMERIC, "ARCODENM" TEXT, "CNTOT" NUMERIC, "CN0101" NUMERIC, "CN0201" NUMERIC, "CN0301" NUMERIC, "CN0302" NUMERIC, "CN0401" NUMERIC, "CN0501" NUMERIC, "CN0603" NUMERIC )

SELECT CNTOT FROM STAT_SISUL_FIXED_NUMBER_INFO WHERE ARCODENM = '영등포' OR ARCODENM = '서대문구'

34,091

영업장 주변 구분명이 기타인 사업장의 소재지 우편번호를 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_072210_J_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "JTUPSOMAINEDF" TEXT )

SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_072210_J_N WHERE TRDPJUBNSENM = '기타'

7,236

1999년 이후에 인허가를 받은 서울시 구로구에 위치한 체육도장을 알려줄래

CREATE TABLE "L_O_C_A_L_D_A_T_A_104101_G_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "PUPRSENM" TEXT, "LDERCNT" TEXT, "BDNGDNGNUM" TEXT, "BDNGYAREA" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_104101_G_R WHERE APVPERMYMD >= 19990101000000

20,240

남성 종사자 수가 3명 이상인 사업장의 수를 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_072211_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOMAINEDF" TEXT )

SELECT COUNT(BPLCNM) FROM L_O_C_A_L_D_A_T_A_072211_S_P WHERE MANEIPCNT >= 3

11,542

영업 형태가 일반쇼핑몰인 곳의 최초 신고 일자는 언제야

CREATE TABLE "SERVICE_INTERNET_SHOP_INFO" ( "COMPANY" TEXT, "SHOP_NAME" TEXT, "DOMAIN_NAME" TEXT, "TEL" TEXT, "EMAIL" TEXT, "UPJONG_NBR" TEXT, "YPFORM" TEXT, "FIRST_HEO_DATE" TEXT, "COM_ADDR" TEXT, "STAT_NM" TEXT, "TOT_RATINGPOINT" TEXT, "CHOGI_RATINGPOINT" TEXT, "CHUNG_RATINGPOINT" TEXT, "DEAL_RATINGPOINT" TEXT, "PYOJUN_RATINGPOINT" TEXT, "SECURITY_RATINGPOINT" TEXT, "SERVICE" TEXT, "CHUNG" TEXT, "CHOGI" TEXT, "GYULJE" TEXT, "PYOJUN" TEXT, "P_INFO_CARE" TEXT, "PER_INFO" TEXT, "DEAL_CARE" TEXT, "SSL_YN" TEXT, "INJEUNG" TEXT, "BAESONG_YEJEONG" TEXT, "BAESONG" TEXT, "CLIENT_BBS" TEXT, "LEAVE" TEXT, "KAESOL_YEAR" TEXT, "REG_DATE" TEXT )

SELECT FIRST_HEO_DATE FROM SERVICE_INTERNET_SHOP_INFO WHERE YPFORM = '일반쇼핑몰'

30,941

폐기물 배출자 주소에 월배로가 들어가는 상호를 나타내줘

CREATE TABLE "CURRENT_STS_WASTE_DISCHARGERS_DALSEO_GU_DAEGU" ( "LATITUDE" NUMERIC, "HARDNESS" NUMERIC, "MUTUAL_NAME" TEXT, "STS_ADDRESS" TEXT, "DEPARTMENT_CHARGE" TEXT, "BASE_DATE" TEXT )

SELECT MUTUAL_NAME FROM CURRENT_STS_WASTE_DISCHARGERS_DALSEO_GU_DAEGU WHERE STS_ADDRESS LIKE '%월배로%'

75,941

CCTV 용도가 고정식이거나 방범인 곳의 수정 일시를 알려줘

CREATE TABLE "SAFE_OPEN_C_C_T_V_YD" ( "YDP_SAFE_CCTV_SVCAREAID" TEXT, "ADDR" TEXT, "CCTVUSE" TEXT, "WGSXPT" NUMERIC, "WGSYPT" NUMERIC, "UPDTDATE" TEXT )

SELECT UPDTDATE FROM SAFE_OPEN_C_C_T_V_YD WHERE CCTVUSE = '고정식' OR CCTVUSE = '방범'

16,311

내용에 수수료가 들어가는 대화명의 답변 내용은 뭐야

CREATE TABLE "C_C_C_S_K_E_I_R_E_S_DE" ( "C_L_C_R_RC" TEXT, "C_D_R_S" TEXT, "C_S_R_T" TEXT, "D_N_R_W_2_U" TEXT, "A_M_B_W_4_C_V" TEXT, "OPERATION_METHOD_1X" TEXT, "OPERATION_NM_1Y" TEXT, "OPERATION_VALUE_1Z" TEXT, "HOW_IT_WORKS_2A" TEXT, "OPERATION_NM_2B" TEXT, "OPERATION_VALUE_2C" TEXT )

SELECT A_M_B_W_4_C_V FROM C_C_C_S_K_E_I_R_E_S_DE WHERE D_N_R_W_2_U LIKE '%수수료%'

82,500

이름에 남매가 들어가는 도서의 저자와 발행자를 중복 없이 알려줘

CREATE TABLE "DGE_DAEGU_LIBRARY_POPULARITY_BOOK_LIST" ( "RANKING" NUMERIC, "REGISTRATION_NUMBER" TEXT, "BILLING_SYMBOL" TEXT, "SIGNATURE" TEXT, "AUTHOR" TEXT, "ISSUER" TEXT, "ARCHIVES_OFFICE" TEXT, "NUMBER_LOANS" NUMERIC )

SELECT DISTINCT T1.AUTHOR, T2.ISSUER FROM DGE_DAEGU_LIBRARY_POPULARITY_BOOK_LIST AS T1 JOIN LIST_POPULAR_BOOKS_DGE_DAEGU AS T2 ON T1.AUTHOR = T2.AUTHOR WHERE T1.AUTHOR IN (SELECT AUTHOR FROM LIST_POPULAR_BOOKS_DGE_DAEGU WHERE SIGNATURE LIKE '%남매%')

88,379

사업장 이름이 다섯 글자인 곳의 데이터 갱신 일자가 언제야

CREATE TABLE "L_O_C_A_L_D_A_T_A_072404_G_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "LVSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "HOMEPAGE" TEXT )

SELECT UPDATEDT FROM L_O_C_A_L_D_A_T_A_072404_G_R WHERE BPLCNM LIKE '_____'

792

한강대교별 녹조 관측정보에서 측정년이 2022년이고 측정지점명이 성산대교인 데이터의 수온과 PH 농도를 알려줘

CREATE TABLE "V_TS_GTD_DATA" ( "WM_PT" TEXT, "PT_NO" TEXT, "PT_GB" TEXT, "WMYR" TEXT, "WMOD" TEXT, "WMWK" TEXT, "TEMP" NUMERIC, "PH" NUMERIC, "DOS" NUMERIC, "CN_VAL" TEXT, "SRCW_ALARM" TEXT )

SELECT TEMP,PH FROM V_TS_GTD_DATA WHERE WMYR = 20220000000000 AND WM_PT = '성산대교'

38,877

영업 상태명이 폐업인 곳의 인허가 일자를 나타내줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_010106_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "BPLCNM" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "PHARMTRDAR" TEXT, "ASGNYMD" TEXT )

SELECT APVPERMYMD FROM L_O_C_A_L_D_A_T_A_010106_S_P WHERE TRDSTATENM = '폐업'

10,690

법정동명별 업소 수의 총합과 법정동명을 찾아줘

CREATE TABLE "NW_FOOD_HYGIENE_BIZ_LOC_MANAGE" ( "NW_FOOD_HYGIENE_CGG_CODE" NUMERIC, "NW_FOOD_HYGIENE_CGG_NM" TEXT, "REGN_NM" TEXT, "SNT_UPTAE_NM" TEXT, "CNT" TEXT )

SELECT REGN_NM, SUM(CNT) FROM NW_FOOD_HYGIENE_BIZ_LOC_MANAGE GROUP BY REGN_NM

5,497

2014년에 시도별로 가정용 이용량의 총합이 얼마인지 시도와 함께 알려줘

CREATE TABLE "KW_USAGE_STS_GROUNDW_USE_HOUSEHOLD_YEAR" ( "YEARM" NUMERIC, "CITY_PROVINCEN" TEXT, "C_C_C_D_P" TEXT, "TOTAL_NUM_PLACESP" NUMERIC, "TOTAL_UTILIZATIONQ" NUMERIC, "NUM_HOUSEHOLDSR" NUMERIC, "DOMESTIC_USAGES" NUMERIC, "NUM_PLACES_GENERAL_USET" NUMERIC, "GENERAL_USAGEU" NUMERIC, "NUM_SCHOOL_PREMISESV" NUMERIC, "SCHOOL_USAGEW" NUMERIC, "N_P_C_D_Y" NUMERIC, "C_D_U_Z" NUMERIC, "NUM_APARTMENTSZ" NUMERIC, "A_U_A_H_VA" NUMERIC, "N_P_L_W_S_CV" NUMERIC, "A_U_W_S_L_DE" NUMERIC, "NUM_WATER_SUPPLY_LOCSD" NUMERIC, "AMT_WATERE" NUMERIC, "N_A_H_BB" NUMERIC, "A_U_B_A_U_C" NUMERIC, "NUM_OTHER_PLACESH" NUMERIC, "OTHER_USAGEI" NUMERIC )

SELECT CITY_PROVINCEN, SUM(DOMESTIC_USAGES) FROM KW_USAGE_STS_GROUNDW_USE_HOUSEHOLD_YEAR WHERE YEARM = 2014 GROUP BY CITY_PROVINCEN

77,482

업종 대분류별로 떨어짐 사고의 합이 3000건 이상인 업종의 넘어짐 사고의 합과 업종 대분류를 넘어짐 사고의 합이 많은 순으로 나열해줘

CREATE TABLE "NUM_ACCIDENT_VICTIMS_T_OCCURRENCE_KOSHA_I_MIDDLE_CLASSIFICATION" ( "MAJOR_INDUSTRYT" TEXT, "HEAVY_INDUSTRYU" TEXT, "SCALEV" TEXT, "ACCIDENTAL_DAMAGEW" NUMERIC, "A_A_F_XZ" NUMERIC, "ACCIDENTAL_DAMAGEY" NUMERIC, "A_A_R_BB" NUMERIC, "COLLAPSE_ACCIDENTA" NUMERIC, "A_A_J_DE" NUMERIC, "A_A_C_C_C_C_EA" NUMERIC, "A_E_S_F" NUMERIC, "A_A_E_R_G" NUMERIC, "ACCIDENTAL_FIREF" NUMERIC, "A_D_O_I" NUMERIC, "A_A_A_T_O_C_J" NUMERIC, "ACCIDENTAL_DISASTERI" NUMERIC, "A_H_I_U_B_L" NUMERIC, "C_C_L_A_D_M" NUMERIC, "A_D_O_D_N" NUMERIC, "T_A_W_A_A_O" NUMERIC, "A_A_O_W_P" NUMERIC, "ACCIDENTAL_SPORTS_EVENTO" NUMERIC, "ACCIDENTAL_VIOLENCEP" NUMERIC, "A_D_A_I_S" NUMERIC, "ACCIDENTAL_DAMAGE_OTHERR" NUMERIC, "U_C_A_A_U" NUMERIC )

SELECT MAJOR_INDUSTRYT, SUM(A_A_F_XZ) FROM NUM_ACCIDENT_VICTIMS_T_OCCURRENCE_KOSHA_I_MIDDLE_CLASSIFICATION GROUP BY MAJOR_INDUSTRYT HAVING SUM(ACCIDENTAL_DAMAGEW) >= 3000 ORDER BY SUM(A_A_F_XZ) DESC

82,943

지번주소에 이태원동이 들어가는 업체의 소재지 우편번호는 뭐야

CREATE TABLE "L_O_C_A_L_D_A_T_A_031202_Y_S" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "REGNSENM" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "INSURORGNM" TEXT, "BDNGSRVNM" TEXT, "JISGNUMLAY" TEXT, "CNSTYAREA" TEXT, "ENGSTNTRNMNM" TEXT, "ENGSTNTRNMADDR" TEXT, "SHPTOTTONS" TEXT, "SHPCNT" TEXT, "SHPINFO" TEXT, "INSURSTDT" TEXT )

SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_031202_Y_S WHERE SITEWHLADDR LIKE '%이태원동%'

24,318

지번 주소에 신정동이 포함되고 제조 구분명이 냉동인 사업장명을 찾아줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_092805_Y_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "PRDSENM" TEXT, "WRKPGRDSRVSENM" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_092805_Y_C WHERE SITEWHLADDR LIKE '%신정동%' AND PRDSENM = '냉동'

32,842

지번주소에 신수동이 들어가고 전화번호에 712가 들어간 곳의 소재지 면적과 좌석 수가 얼마야

CREATE TABLE "L_O_C_A_L_D_A_T_A_051801_M_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "BDNGJISGFLRCNT" TEXT, "BDNGUNDERFLRCNT" TEXT, "USEJISGSTFLR" TEXT, "USEJISGENDFLR" TEXT, "USEUNDERENDFLR" TEXT, "HANSHILCNT" TEXT, "YANGSILCNT" TEXT, "YOKSILCNT" TEXT, "BALHANSILYN" TEXT, "CHAIRCNT" TEXT, "CNDPERMNTWHY" TEXT, "CNDPERMSTYMD" TEXT, "BDNGOWNSENM" TEXT, "WMEIPCNT" TEXT, "RCVDRYNCNT" TEXT, "ABEDCNT" TEXT, "MULTUSNUPSOYN" TEXT )

SELECT SITEAREA, CHAIRCNT FROM L_O_C_A_L_D_A_T_A_051801_M_P WHERE SITETEL LIKE '%712%' AND SITEWHLADDR LIKE '%신수동%'

10,550

재질별로 발포형인 해양 쓰레기의 개수와 재질을 보여줘

CREATE TABLE "METHODOLOGY_TWO_TS_MARINE_W_MONITORING_KR_MARINE_E_C" ( "MANAGEMENT_NUML" NUMERIC, "YEARM" NUMERIC, "AREAN" TEXT, "ORDERO" TEXT, "CLASP" TEXT, "QUALITY_MATERIALQ" TEXT, "DETAILED_CLASR" TEXT, "NUMS" NUMERIC )

SELECT QUALITY_MATERIALQ, COUNT(DETAILED_CLASR) FROM METHODOLOGY_TWO_TS_MARINE_W_MONITORING_KR_MARINE_E_C WHERE QUALITY_MATERIALQ = '발포형' GROUP BY QUALITY_MATERIALQ

84,660

1977년도에 인허가를 받은 계량기 증명 업체의 데이터 갱신 일자와 사업장명을 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_092804" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "OFFTELNO" TEXT )

SELECT UPDATEDT, BPLCNM FROM L_O_C_A_L_D_A_T_A_092804 WHERE APVPERMYMD LIKE '1977%'

31,798

호원당의 전화번호는 뭐야

CREATE TABLE "L_O_C_A_L_D_A_T_A_072211_S_M" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT )

SELECT SITETEL FROM L_O_C_A_L_D_A_T_A_072211_S_M WHERE BPLCNM = '호원당'

11,271

폐기물 종류가 폐합성수지인 상호와 연락처는 뭐야

CREATE TABLE "STS_W_DISCHARGER_GBYD_WORKP" ( "MUTUALE" TEXT, "CONTACT_USF" TEXT, "B_E_A_T" TEXT, "DT_RPINGH" TEXT, "WASTE_TYPEI" TEXT, "DATA_BASE_DTJ" TEXT )

SELECT MUTUALE, CONTACT_USF FROM STS_W_DISCHARGER_GBYD_WORKP WHERE WASTE_TYPEI = '폐합성수지'

75,826

현장이 들어가는 질문을 사전 배열순으로 중복 없이 나타내줘

CREATE TABLE "SMART_WORK_SELF_DIAGNOSIS_QUESTION_KR_I_INFO_SOCIETY_AGENCY" ( "QUESTION_SERIAL_NUMR" NUMERIC, "WEIGHT_TYPES" TEXT, "Q_S_N_U" NUMERIC, "QUESTION_TYPEU" TEXT, "VALID_ANSWER_VARIABLEV" NUMERIC, "TOTAL_ANSWERW" NUMERIC, "S_E_Y" TEXT, "QUESTIONY" TEXT )

SELECT DISTINCT QUESTIONY FROM SMART_WORK_SELF_DIAGNOSIS_QUESTION_KR_I_INFO_SOCIETY_AGENCY WHERE QUESTIONY LIKE '%현장%' ORDER BY QUESTIONY ASC

52,272

꿀벌 유치원과 장미 유치원이 가입한 보험명을 가나다순으로 정렬해 줘

CREATE TABLE "CHILD_SCHOOL_INSURANCE_SP" ( "SP_OFFICEEDU" TEXT, "SUBOFFICEEDU" TEXT, "KINDERCODE" TEXT, "KINDERNAME" TEXT, "ESTB_PT" TEXT, "INSURANCE_NM" TEXT, "INSURANCE_EN" TEXT, "INSURANCE_YN" TEXT, "COMPANY2" TEXT, "COMPANY3" TEXT, "ADDR" TEXT )

SELECT INSURANCE_NM FROM CHILD_SCHOOL_INSURANCE_SP WHERE KINDERNAME = '꿀벌유치원' OR KINDERNAME = '장미유치원' ORDER BY INSURANCE_NM

42,002

도로명 상세주소에 은진이 들어가는 학교의 이름을 알려줘

CREATE TABLE "NEIS_SCHOOL_INFO_EP" ( "ATPT_OFCDC_SC_CODE" TEXT, "ATPT_OFCDC_SC_NM" TEXT, "SD_SCHUL_CODE" NUMERIC, "SCHUL_NM" TEXT, "ENG_SCHUL_NM" TEXT, "SCHUL_KND_SC_NM" TEXT, "LCTN_SC_NM" TEXT, "FOND_SC_NM" TEXT, "ORG_RDNMA" TEXT, "ORG_RDNDA" TEXT, "ORG_TELNO" TEXT, "HMPG_ADRES" TEXT, "COEDU_SC_NM" TEXT, "HS_SC_NM" TEXT, "HS_GNRL_BUSNS_SC_NM" TEXT, "SPCLY_PURPS_HS_ORD_NM" TEXT, "DGHT_SC_NM" TEXT, "FOND_YMD" NUMERIC, "FOAS_MEMRD" NUMERIC, "DGHT_CRSE_SC_NM" TEXT, "ORD_SC_NM" TEXT, "LOAD_DTM" TEXT )

SELECT SCHUL_NM FROM NEIS_SCHOOL_INFO_EP WHERE ORG_RDNDA LIKE '%은진%'

42,962

세원 유형명에 주택이 들어가거나 가장 많은 세금의 과세 연도를 겹치지 않게 보여줘

CREATE TABLE "TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON" ( "CITY_AND_PROVINCIAL_NAMES" TEXT, "NAME_CITY_AND_COUNTY" TEXT, "LOCAL_GOVERNMENT_CODE" NUMERIC, "TAX_YEAR" NUMERIC, "DETAILED_NAME" TEXT, "TYPE_NAME_TAX_SOURCE" TEXT, "NUMBER_IMPOSITIONS" NUMERIC, "IMPOSED_AMOUNT" NUMERIC )

SELECT DISTINCT T2.TAX_YEAR FROM TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON AS T1 JOIN TAX_STS_LOCAL_TAX_DAEDEOK_GU_DAEJEON AS T2 ON T1.DETAILED_NAME = T2.DETAILED_NAME WHERE T1.DETAILED_NAME IN (SELECT DETAILED_NAME FROM TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON WHERE TYPE_NAME_TAX_SOURCE LIKE '%주택%') OR T2.TAXABLE_AMOUNT = (SELECT MIN(TAXABLE_AMOUNT) FROM TAX_STS_LOCAL_TAX_DAEDEOK_GU_DAEJEON)

70,716

업태명을 가나다순으로 업소수와 업태명을 보여줘

CREATE TABLE "GB_FOOD_HYGIENE_BIZ_LOC_MANAGE" ( "GB_FOOD_HYGIENE_CGG_CODE" NUMERIC, "GB_FOOD_HYGIENE_CGG_NM" TEXT, "REGN_NM" TEXT, "SNT_UPTAE_NM" TEXT, "CNT" TEXT )

SELECT CNT, SNT_UPTAE_NM FROM GB_FOOD_HYGIENE_BIZ_LOC_MANAGE ORDER BY SNT_UPTAE_NM

14,932

공사 종류가 공장이고 신고 관할지청이 울산인 등록 업체명을 중복 없이 찾아줘

CREATE TABLE "KOSHA_H_SAFE_G_ACTIVITY_DETAILS" ( "SORTATIONE" TEXT, "T_S_D_J" NUMERIC, "CONSTRUCTION_SITE_NMG" TEXT, "REGISTERED_COMPANY_NMH" TEXT, "REGISTRAR_OFFICEI" TEXT, "RE_AUTHORITYJ" TEXT, "POSTAL_CDK" NUMERIC, "LOCL" TEXT, "TYPE_CONSTRUCTIONM" TEXT, "CONSTRUCTION_START_DTN" TEXT, "C_C_D_S" TEXT, "S_I_M_T" TEXT, "INTERVIEWS_STAKEHOLDERSQ" TEXT )

SELECT DISTINCT REGISTERED_COMPANY_NMH FROM KOSHA_H_SAFE_G_ACTIVITY_DETAILS WHERE TYPE_CONSTRUCTIONM = '공장' AND RE_AUTHORITYJ = '울산'

83,394

송도에 있는 곳의 상호를 알려줘

CREATE TABLE "CURRENT_STS_VIDEO_PRODION_ES_YEONSU_GU_INCHEON" ( "IC_VIDEO_PRODION_SECTORS" TEXT, "IC_VIDEO_PRODION_MUTUAL" TEXT, "IC_VIDEO_PRODION_NAME" TEXT )

SELECT IC_VIDEO_PRODION_MUTUAL FROM CURRENT_STS_VIDEO_PRODION_ES_YEONSU_GU_INCHEON WHERE IC_VIDEO_PRODION_NAME LIKE '%송도%'

53,107

노선 이름이 동해로 시작하거나 여객 수송실적이 20000 미만인 열차의 종을 중복 없이 보여줘

CREATE TABLE "P_KORAIL_RAILWAY" ( "DTJ" TEXT, "TRAIN_TYPEK" TEXT, "ROUTEL" TEXT, "P_T_P_H" NUMERIC )

SELECT DISTINCT TRAIN_TYPEK FROM P_KORAIL_RAILWAY WHERE ROUTEL LIKE '동해%' OR P_T_P_H < 20000

73,345

전화번호가 033으로 시작하는 가맹점의 이름과 도로명 주소가 뭐야

CREATE TABLE "GWCC_CHILDREN_MEAL_CARD_MERCHANT" ( "NM_MERCHANTE" TEXT, "MERCHANT_TYPE_CDF" NUMERIC, "CITY_PROVINCEG" TEXT, "NM_CITY_COUNTY_DISTRICTH" TEXT, "CITY_COUNTY_DISTRICT_CDI" NUMERIC, "LOC_MAP_NM_ADDRESSJ" TEXT, "LOC_NUM_ADDRESSK" TEXT, "LATITUDEL" NUMERIC, "HARDNESSM" NUMERIC, "PHONE_NUMN" TEXT, "W_O_S_T_Z" TEXT, "W_O_E_T_ZZ" TEXT, "S_O_S_T_VA" TEXT, "SATURDAY_CLOSING_TIMER" TEXT, "H_O_S_T_DE" TEXT, "H_O_E_T_XZ" TEXT, "DELIVERY_START_TIMEU" TEXT, "DELIVERY_END_TIMEV" TEXT, "NM_MANAGEMENT_AGENCYW" TEXT, "M_A_P_N_DE" TEXT, "DATA_BASE_DTY" TEXT )

SELECT NM_MERCHANTE, LOC_MAP_NM_ADDRESSJ FROM GWCC_CHILDREN_MEAL_CARD_MERCHANT WHERE PHONE_NUMN LIKE '033%'

55,749

주된 음식에 생선회가 들어간 모범 음식점의 소재지 도로명과 행정동명을 알려줘

CREATE TABLE "DONGDEAMOON_MODEL_RESTAURANT_DESIGNATE" ( "CGG_CODE" NUMERIC, "ASGN_YY" TEXT, "ASGN_SNO" TEXT, "APPL_YMD" TEXT, "ASGN_YMD" TEXT, "SITE_ADDR_RD" TEXT, "SITE_ADDR" TEXT, "PERM_NT_NO" TEXT, "SNT_UPTAE_NM" TEXT, "MAIN_EDF" TEXT, "TRDP_AREA" NUMERIC, "ADMDNG_NM" TEXT, "GRADE_FACIL_GBN" TEXT, "UPSO_SITE_TELNO" TEXT )

SELECT ADMDNG_NM, SITE_ADDR_RD FROM DONGDEAMOON_MODEL_RESTAURANT_DESIGNATE WHERE MAIN_EDF = '생선회'

1,320

상세 영업 상태명이 등록 취소인 사업장을 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_030507_G_J" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "FACILAR" NUMERIC, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "BGROOMCNT" TEXT, "EMEXYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT, "TOTGASYSCNT" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030507_G_J WHERE DTLSTATENM = '등록취소'

25,986

서로 시작하는 유치원의 이름을 중복 없이 찾아줘

CREATE TABLE "CHILD_SCHOOL_INSURANCE_GB" ( "SUBOFFICEEDU" TEXT, "KINDERNAME" TEXT, "ESTB_PT" TEXT, "INSURANCE_NM" TEXT, "INSURANCE_EN" TEXT, "INSURANCE_YN" TEXT, "COMPANY1" TEXT, "PBNTTMNG" NUMERIC, "ADDR" TEXT )

SELECT DISTINCT KINDERNAME FROM CHILD_SCHOOL_INSURANCE_GB WHERE KINDERNAME LIKE '서%'

41,870

지역이 경기도이거나 주소에 중구가 들어가는 검진 기관의 이름을 알려줘

CREATE TABLE "INFO_H_EXAMINATION_INST_CWMA_CONST_WORKERS" ( "SERIAL_NUMD" NUMERIC, "AREAE" TEXT, "N_E_I_T" TEXT, "ADDRESSG" TEXT )

SELECT N_E_I_T FROM INFO_H_EXAMINATION_INST_CWMA_CONST_WORKERS WHERE AREAE = '경기도' OR ADDRESSG LIKE '%중구%'

56,334

제작 취급 품목 내용에 동영상이 들어가거나 건물 용도명이 아파트인 사업장의 시설 면적이 얼마야

CREATE TABLE "L_O_C_A_L_D_A_T_A_031005_S_M" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "TOTNUMLAY" TEXT, "MNFACTREARTCLCN" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "BGROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "EMEXYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT )

SELECT FACILAR FROM L_O_C_A_L_D_A_T_A_031005_S_M WHERE MNFACTREARTCLCN LIKE '%동영상%' OR BDNGSRVNM = '아파트'

21,447

이름이 일반으로 시작하는 상품의 당일 신규 실행 건수를 알려줘

CREATE TABLE "KOSAF_D_LOAN_EXECUTION_STS" ( "BASE_DTU" TEXT, "PRODUCT_NMV" TEXT, "N_N_E_S_D_A" NUMERIC, "N_E_A_S_D_K_1_M_BB" NUMERIC )

SELECT N_N_E_S_D_A FROM KOSAF_D_LOAN_EXECUTION_STS WHERE PRODUCT_NMV LIKE '일반%'

86,255

충북 지역의 전문업이 유아숲 교육업 종류인 업체의 이름과 사업자 주소를 찾아줘

CREATE TABLE "FOWI_FOREST_WELFARE_B_REG_STS" ( "SERIAL_NUMY" NUMERIC, "COMPANY_NMZ" TEXT, "BUSINESS_ADDRESSA" TEXT, "LATITUDE_ALTI_TOOB" TEXT, "HARDNESS_LONGI_DEGREEC" TEXT, "R_P_N_XZ" TEXT, "TYPE_PROFESSIONE" TEXT, "AREAF" TEXT )

SELECT COMPANY_NMZ, BUSINESS_ADDRESSA FROM FOWI_FOREST_WELFARE_B_REG_STS WHERE AREAF = '충북' AND TYPE_PROFESSIONE = '유아숲교육업'

68,605

폐업 일자가 2011년인 사업장의 이름이 뭐야

CREATE TABLE "L_O_C_A_L_D_A_T_A_072101_Y_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "JTUPSOMAINEDF" TEXT, "HOMEPAGE" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072101_Y_C WHERE DCBYMD LIKE '2011%'

8,205

소재지에 가음동이 들어가는 업체의 이름을 신고 일자가 오래된 순으로 보여줘

CREATE TABLE "GN_MEDICAL_DEVICE_SELLER_STS" ( "SERIAL_NUMD" NUMERIC, "CITIES_COUNTIESE" TEXT, "RP_DTF" TEXT, "COMPANY_NMG" TEXT, "LOCH" TEXT )

SELECT COMPANY_NMG FROM GN_MEDICAL_DEVICE_SELLER_STS WHERE LOCH LIKE '%가음동%' ORDER BY RP_DTF

44,376

지번주소에 청담동이 들어가는 곳의 사업장명을 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_082501_G_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" TEXT, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "JPSENM" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_082501_G_N WHERE SITEWHLADDR LIKE '%청담동%'

32,955

가판 시설 운영 정보에서 시군구가 강남구인 곳의 법정동과 주변 정보를 알려줘

CREATE TABLE "SERVICER_GAPAN_INFO" ( "GAPAN_NO" TEXT, "SI_NM" TEXT, "GU_NM" TEXT, "BJ_NM" TEXT, "TYPE" TEXT, "BONBUN" NUMERIC, "BUBUN" NUMERIC, "WITH_DORO_NM" TEXT, "WITH_INFO" TEXT, "FT_TYP" TEXT, "FT_SEL" TEXT, "FACIL_L" NUMERIC, "FACIL_W" NUMERIC, "FACIL_H" NUMERIC, "PLACE_L" NUMERIC, "PLACE_H" NUMERIC, "PLACE_A" NUMERIC, "SECTION" TEXT, "MUL_FROMDATE" TEXT, "MUL_TODATE" TEXT )

SELECT BJ_NM, WITH_INFO FROM SERVICER_GAPAN_INFO WHERE GU_NM = '강남구'

41,354

온실가스의 고정 배출량이 51만 6300톤이고 간접 배출량이 1만 56톤인 배출량 기준일을 찾아줘

CREATE TABLE "KDHC_GREENHOUSE_GAS_ES_INFO" ( "BASE_DTV" TEXT, "FIXED_EMISSIONS_TCO2EW" TEXT, "I_E_T_DE" TEXT, "OTHER_EMISSIONS_TCO2EY" NUMERIC, "PROCESS_EMISSIONS_TCO2EZ" NUMERIC )

SELECT BASE_DTV FROM KDHC_GREENHOUSE_GAS_ES_INFO WHERE FIXED_EMISSIONS_TCO2EW = '516300' AND I_E_T_DE = '10056'

83,847

유동층 드럼형의 설치 대수는 얼마야

CREATE TABLE "PRE_USE_INSPECTION_STS_KR_ELECAL_SAFE_C_PW_PLANT" ( "MAJOR_CLASM" TEXT, "M_CLASN" TEXT, "SORTATIONO" TEXT, "CONTENTP" TEXT, "NUM_INSSQ" NUMERIC, "SHARE_SHARESR" TEXT )

SELECT NUM_INSSQ FROM PRE_USE_INSPECTION_STS_KR_ELECAL_SAFE_C_PW_PLANT WHERE CONTENTP = '유동층 드럼형'

79,769

아동이라는 글자를 포함하는 시설명을 보여줘

CREATE TABLE "FCLT_OPEN_INFO_S_D" ( "FCLT_NM" TEXT, "FCLT_CD" TEXT, "FCLT_KIND_NM" TEXT, "FCLT_KIND_DTL_NM" TEXT, "JRSD_SGG_NM" TEXT, "FCLT_ADDR" TEXT )

SELECT FCLT_NM FROM FCLT_OPEN_INFO_S_D WHERE FCLT_NM LIKE '%아동%'

33,818

업태명이 일식이거나 분식인 업소의 수가 얼마인지 알려줘

CREATE TABLE "MP_FOOD_HYGIENE_BIZ_LOC_MANAGE" ( "MP_FOOD_HYGIENE_CGG_CODE" NUMERIC, "MP_FOOD_HYGIENE_CGG_NM" TEXT, "REGN_NM" TEXT, "SNT_UPTAE_NM" TEXT, "CNT" TEXT )

SELECT CNT FROM MP_FOOD_HYGIENE_BIZ_LOC_MANAGE WHERE SNT_UPTAE_NM = '일식' OR SNT_UPTAE_NM = '분식'

3,273

용도에 자석이 들어가는 광물의 수출입 국가 이름을 수입 중량이 작은 순서대로 보여줘

CREATE TABLE "APP_KOMIR_TYPE_LIGHT" ( "TURN" NUMERIC, "MINERAL_NAME" TEXT, "PURPOSE" TEXT )

SELECT T2.STATE_NAME FROM APP_KOMIR_TYPE_LIGHT AS T1 JOIN IMPORT_EXPORT_STS_GWANGJONG_KOMIR_COUNTRY AS T2 ON T1.MINERAL_NAME = T2.NAMES_OF_GOODS WHERE T1.PURPOSE IN (SELECT PURPOSE FROM APP_KOMIR_TYPE_LIGHT WHERE PURPOSE LIKE '%자석%') ORDER BY T2.IMPORTED_WEIGHT

71,051

사립 학교의 이름을 알려줘

CREATE TABLE "NEIS_SCHOOL_INFO_MP" ( "ATPT_OFCDC_SC_CODE" TEXT, "ATPT_OFCDC_SC_NM" TEXT, "SD_SCHUL_CODE" NUMERIC, "SCHUL_NM" TEXT, "ENG_SCHUL_NM" TEXT, "SCHUL_KND_SC_NM" TEXT, "LCTN_SC_NM" TEXT, "JU_ORG_NM" TEXT, "FOND_SC_NM" TEXT, "ORG_RDNZC" NUMERIC, "ORG_RDNMA" TEXT, "ORG_TELNO" TEXT, "HMPG_ADRES" TEXT, "COEDU_SC_NM" TEXT, "ORG_FAXNO" TEXT, "SPCLY_PURPS_HS_ORD_NM" TEXT, "ENE_BFE_SEHF_SC_NM" TEXT, "DGHT_SC_NM" TEXT, "FOND_YMD" NUMERIC, "FOAS_MEMRD" NUMERIC, "ORD_SC_NM" TEXT, "DDDEP_NM" TEXT )

SELECT SCHUL_NM FROM NEIS_SCHOOL_INFO_MP WHERE FOND_SC_NM = '사립'

43,280

국내외 구분별로 업무 구분 코드가 결과로 시작하는 사업의 수와 국내외 구분을 찾아줘

CREATE TABLE "CONTENTS_ANNUAL_PRO_SU_KRN_STUDIES_CENTRAL_RESEARCH_I" ( "SERIAL_NUMB" NUMERIC, "APPLICATION_YEARC" NUMERIC, "BUSINESS_NMD" TEXT, "FIELD_APPLICATIONE" TEXT, "PROJECT_SUPPORT_DETAILSF" TEXT, "D_I_C_Q" TEXT, "PROJECT_SUPPORT_AMTH" NUMERIC, "S_D_N_A_A_S" TEXT, "N_A_A_E_D_T" TEXT, "NEW_PROJECT_SUPPORT_AMTK" NUMERIC, "BUSINESS_MONTHN" NUMERIC, "BUSINESS_CLAS_CDO" TEXT, "REGISTRARP" TEXT, "RE_DTQ" TEXT, "MODIFIERR" TEXT, "MODIFIED_DTS" TEXT )

SELECT D_I_C_Q, COUNT(DISTINCT BUSINESS_NMD) FROM CONTENTS_ANNUAL_PRO_SU_KRN_STUDIES_CENTRAL_RESEARCH_I WHERE BUSINESS_CLAS_CDO LIKE '결과%' GROUP BY D_I_C_Q

87,515

지번 주소에 한남동이 들어가는 사업장의 이름과 도로명 주소를 찾아줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_031304_Y_S" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMCNT" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT, "FRSTREGTS" TEXT )

SELECT BPLCNM, RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_031304_Y_S WHERE SITEWHLADDR LIKE '%한남동%'

22,043

1993년도에 인허가를 받고 소재지 면적이 90보다 넓은 단란 주점의 사업장명은 뭐야

CREATE TABLE "L_O_C_A_L_D_A_T_A_072301_G_J" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "HOMEPAGE" TEXT )

SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072301_G_J WHERE APVPERMYMD LIKE '1993%' AND SITEAREA > 90

3,540

사북읍의 건수가 170건 이상이거나 고한읍의 건수가 40건 이상일 때의 사용 일자를 최신순으로 정렬해줘

CREATE TABLE "KGLAND_HIGH1_POINT_ANNUAL_USAGE" ( "DT_USEM" TEXT, "INDUSTRYN" TEXT, "NUM_CASES_GOHAN_EUPO" NUMERIC, "NUM_CASES_SABUK_EUPP" NUMERIC, "NUM_JEONGSEON_GUN_CASESQ" NUMERIC, "NUM_TAEBAEK_CITYR" NUMERIC, "NUM_YEONGWOL_COUNTYS" NUMERIC, "NUM_CASES_SAMCHEOKT" NUMERIC )

SELECT DT_USEM FROM KGLAND_HIGH1_POINT_ANNUAL_USAGE WHERE NUM_CASES_GOHAN_EUPO >= 40 OR NUM_CASES_SABUK_EUPP >= 170 ORDER BY DT_USEM DESC

53,243

인거하 일자가 2000년인 동물 병원의 지번 주소가 어디야

CREATE TABLE "L_O_C_A_L_D_A_T_A_020301_S_B" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "LINDJOBGBNNM" TEXT, "LINDSEQNO" TEXT, "RGTMBDSNO" NUMERIC, "TOTEPNUM" TEXT )

SELECT SITEWHLADDR FROM L_O_C_A_L_D_A_T_A_020301_S_B WHERE APVPERMYMD LIKE '2000%'

2,432

번호가 180인 사업장의 소재지 면적은 얼마야

CREATE TABLE "DUTY_BUILD_INFO" ( "ID" TEXT, "NM" TEXT, "ADDR_OLD" TEXT, "ADDR" TEXT, "PERMISSION_DT" TEXT, "STATE" TEXT, "STOP_DT" TEXT, "SUSPENSION_END_DT" TEXT, "AREA" NUMERIC, "POST" NUMERIC, "OWNER_TYPE" TEXT, "USEDBYMANYPEOPLE" TEXT, "HYGIENE_TYPE" TEXT, "HYGIENE_CONDITIONS" TEXT, "TEL" TEXT, "XCODE" TEXT, "YCODE" TEXT )

SELECT AREA FROM DUTY_BUILD_INFO WHERE ID = '180'

35,069

시도 및 주소별로 보건복지부 사전연명의료의향서 등록 현황 중 70대 여가 70대 남의 평균 이상이고 70대 남이 5명 이상인 기관의 시도와 주소를 보여줘

CREATE TABLE "STS_MOHW_PRE_LIFE_SUSTAINING_T_LETTER_REG_AGENCY" ( "ATTEMPT" TEXT, "TYPE_ORGAN" TEXT, "NAME_ORGANIZATION" TEXT, "PHONE_NUMBER" TEXT, "ADDRESS" TEXT, "LATITUDE" NUMERIC, "HARDNESS" NUMERIC )

SELECT T1.ATTEMPT, T1.ADDRESS FROM STS_MOHW_PRE_LIFE_SUSTAINING_T_LETTER_REG_AGENCY AS T1 JOIN STS_REG_MOHW_ADVANCE_LIFE_SUSTAINING_T_LETTER AS T2 ON T1.ATTEMPT = T2.ATTEMPT WHERE T2.WOMAN_HER_70S >= (SELECT AVG(MAN_HIS_70S) FROM STS_REG_MOHW_ADVANCE_LIFE_SUSTAINING_T_LETTER) AND T2.MAN_HIS_70S >= 5 GROUP BY T1.ATTEMPT, T1.ADDRESS

46,596

2003년에 인허가를 받은 공중위생업소와 주소가 같은 세탁업소의 신고 일자는 언제야

CREATE TABLE "P_HEALTH_ES_BUAN_GUN_JEONBUK" ( "INDUSTRY_NAME" TEXT, "REPORT_DATE" TEXT, "BUSINESS_NAME" TEXT, "ADDRESS" TEXT, "DATA_STANDARD_DATE" TEXT )

SELECT T1.REPORT_DATE FROM P_HEALTH_ES_BUAN_GUN_JEONBUK AS T1 JOIN FOOD_SANITATION_SERVICE_BUAN_GUN_JEONBUK AS T2 ON T1.ADDRESS = T2.ADDRESS WHERE T2.ADDRESS IN (SELECT ADDRESS FROM FOOD_SANITATION_SERVICE_BUAN_GUN_JEONBUK WHERE LICENSE_DATE LIKE '2003%') AND T1.INDUSTRY_NAME = '세탁업'

46,765

회수 금액이 200000 초과이면서 회수 이자 금액이 15000 초과인 납입 일자가 언제야

CREATE TABLE "HF_DIFFERENCE_SETTLEMENT_DETAILS" ( "LIQUIDATION_PLAN_CDH" TEXT, "PAY_ORDERJ" NUMERIC, "TRANSACTION_ORDERK" NUMERIC, "HANDLING_AGENCY_CDL" TEXT, "TRANSACTION_DTM" TEXT, "PAY_DTN" TEXT, "RECOVERY_AMTO" NUMERIC, "RECOVERY_INTEREST_AMTP" NUMERIC, "PREVIOUS_RECOVERY_FEEQ" NUMERIC, "T_C_I_A_CV" NUMERIC, "T_C_L_F_A_DE" NUMERIC, "R_P_D_XZ" NUMERIC, "R_I_D_A" NUMERIC, "REGISTERED_COMPANY_NUMV" NUMERIC, "PROCESSING_STAW" TEXT )

SELECT PAY_DTN FROM HF_DIFFERENCE_SETTLEMENT_DETAILS WHERE RECOVERY_AMTO > 200000 AND RECOVERY_INTEREST_AMTP > 15000

79,821

신청 사유가 가족으로 시작하거나 정치적 의견인 난민 신청자의 건수를 보여줘

CREATE TABLE "STS_REFUGEE_APPLICANTS_REASON_APP_MOJ_62_YEAR" ( "YEAR" NUMERIC, "REASON_APPLICATION" TEXT, "NUMBER_CASES" NUMERIC )

SELECT NUMBER_CASES FROM STS_REFUGEE_APPLICANTS_REASON_APP_MOJ_62_YEAR WHERE REASON_APPLICATION LIKE '가족%' OR REASON_APPLICATION = '정치적의견'

47,125

노인이 들어가는 시설의 이름을 찾아줘

CREATE TABLE "FCLT_OPEN_INFO_S_M" ( "FCLT_NM" TEXT, "SDM_WELFARE_FCLT_CD" TEXT, "FCLT_KIND_NM" TEXT, "FCLT_KIND_DTL_NM" TEXT, "SDM_WELFARE_JRSD_SGG_NM" TEXT, "FCLT_ADDR" TEXT )

SELECT FCLT_NM FROM FCLT_OPEN_INFO_S_M WHERE FCLT_NM LIKE '%노인%'

33,242

정원이 300명 이상인 강좌의 이름을 비용이 큰 순부터 보여줘

CREATE TABLE "FIFTY_POTAL_EDU_INFO" ( "LCT_NO" NUMERIC, "LCT_NM" TEXT, "REG_STDE" TEXT, "REG_EDDE" TEXT, "CR_STDE" TEXT, "CR_EDDE" TEXT, "HR" TEXT, "CR_PPL_STAT" NUMERIC, "LCT_STAT" TEXT, "LCT_COST" NUMERIC, "CR_URL" TEXT )

SELECT LCT_NM FROM FIFTY_POTAL_EDU_INFO WHERE CR_PPL_STAT >= 300 ORDER BY LCT_COST DESC

30,105

2022년 4월 상담 실적의 합계와 기관 및 유형을 보여줘

CREATE TABLE "GLOBAL_JOB_COUNSEL_LNG_TYPE_RST" ( "YYYYMM" TEXT, "CATEGORY_NM" TEXT, "TYPE0" NUMERIC, "TYPE1" NUMERIC, "TYPE2" NUMERIC, "TYPE4" NUMERIC, "TYPE5" NUMERIC, "TYPE6" NUMERIC, "TYPE7" NUMERIC, "TYPE8" NUMERIC, "TYPE9" NUMERIC, "TYPE10" NUMERIC, "TYPE11" NUMERIC, "TYPE12" NUMERIC, "TYPE13" NUMERIC, "TYPE14" NUMERIC, "TYPE15" NUMERIC, "TYPE_SUM" NUMERIC )

SELECT TYPE_SUM, CATEGORY_NM FROM GLOBAL_JOB_COUNSEL_LNG_TYPE_RST WHERE YYYYMM LIKE '202204%'

33,908

약정 건수가 100건 이상이거나 70건 이하인 CA 사의 이름을 보여줘

CREATE TABLE "STS_M_CONTRACT_KR_ASSET_MNG_C_CONST_BOND_CA" ( "CONTRACT_YEAR_MONTHZ" TEXT, "CA_CORPORATIONA" TEXT, "ORDERB" NUMERIC, "NUM_AGREEMENTSC" NUMERIC )

SELECT CA_CORPORATIONA FROM STS_M_CONTRACT_KR_ASSET_MNG_C_CONST_BOND_CA WHERE NUM_AGREEMENTSC >= 100 OR NUM_AGREEMENTSC <= 70

66,582

급속 충전기 타입의 충전소 명칭과 충전량을 보여줘

CREATE TABLE "UTILIZATION_ELECTRIC_VEHICLE_CHARGERS_DAEGU" ( "STRAIGHT_LINE" TEXT, "CHARGING_STATION_ID" NUMERIC, "NAME_CHARGING_STATION" TEXT, "LATITUDE" NUMERIC, "HARDNESS" NUMERIC, "CHARGER_ID" NUMERIC, "CHARGER_TYPE" TEXT, "NUMBER_USES" NUMERIC, "CHARGING_AMOUNT" NUMERIC )

SELECT NAME_CHARGING_STATION, CHARGING_AMOUNT FROM UTILIZATION_ELECTRIC_VEHICLE_CHARGERS_DAEGU WHERE CHARGER_TYPE = '급속'

57,436

사업소 코드가 107이거나 구분이 C로 시작하는 사업소의 이름이 뭐야

CREATE TABLE "KDHC_HEAT_PRODION_INFO" ( "YEARO" NUMERIC, "BUSINESS_OFFICE_CDP" NUMERIC, "NM_BUSINESS_OFFICEQ" TEXT, "SORTATIONR" TEXT, "CLAS_CDS" NUMERIC, "JANT" NUMERIC, "FEBU" NUMERIC, "MARV" NUMERIC, "APRW" NUMERIC, "MAYX" NUMERIC, "JUNY" NUMERIC, "JULZ" NUMERIC, "AUGA" NUMERIC, "SEPTB" NUMERIC, "OCTC" NUMERIC, "NOVD" NUMERIC, "DECE" NUMERIC )

SELECT NM_BUSINESS_OFFICEQ FROM KDHC_HEAT_PRODION_INFO WHERE BUSINESS_OFFICE_CDP = 107 OR SORTATIONR LIKE 'C%'

64,251

구로 끝나는 지역의 2021년 지가지수를 큰 순서대로 보여줘

CREATE TABLE "REB_N_LAND_PRICE_FLUCTUATION_RATE_SURVEY_REGION_YEAR" ( "AREAW" TEXT, "Y_1987X" TEXT, "Y_1988Y" TEXT, "Y_1989Z" TEXT, "Y_1990A" TEXT, "Y_1991B" TEXT, "Y_1992C" TEXT, "Y_1993D" TEXT, "Y_1994E" TEXT, "Y_1995F" TEXT, "Y_1996G" TEXT, "Y_1997H" TEXT, "Y_1998I" TEXT, "Y_1999J" TEXT, "Y_2000K" TEXT, "Y_2001L" TEXT, "Y_2002M" TEXT, "Y_2003N" TEXT, "Y_2004O" TEXT, "Y_2005P" TEXT, "Y_2006Q" TEXT, "Y_2007R" TEXT, "Y_2008S" TEXT, "Y_2009T" TEXT, "Y_2010U" TEXT, "Y_2011V" TEXT, "Y_2012W" TEXT, "Y_2013X" TEXT, "Y_2014Y" TEXT, "Y_2015Z" TEXT, "Y_2016A" TEXT, "Y_2017B" TEXT, "Y_2018C" TEXT, "Y_2019D" TEXT, "Y_2020E" TEXT, "Y_2021F" TEXT )

SELECT Y_2021F FROM REB_N_LAND_PRICE_FLUCTUATION_RATE_SURVEY_REGION_YEAR WHERE AREAW LIKE '%구' ORDER BY Y_2021F DESC

50,169

농어촌 버스의 노선 번호와 종점을 알려줘

CREATE TABLE "ROUTE_NO_TABLE_RURAL_BUSES_CHEONGYANG_GUN_CHUNGNAM" ( "TOWN" TEXT, "ROUTE_NUMBER" NUMERIC, "STARTING_POINT" TEXT, "PASSAGE_1" TEXT, "PASSAGE_2" TEXT, "THROUGH_3" TEXT, "PASSAGE_4" TEXT, "PASSAGE_5" TEXT, "TERMINAL" TEXT, "DIRECTION" TEXT )

SELECT ROUTE_NUMBER, TERMINAL FROM ROUTE_NO_TABLE_RURAL_BUSES_CHEONGYANG_GUN_CHUNGNAM

72,307

동대문구에 있는 약국의 이름과 약국 전화번호를 알려줘

CREATE TABLE "PHARM_LIST_VIEW_INFO" ( "ADDRESS1" TEXT, "PHARM_NAME" TEXT, "TEL_NUM" TEXT )

SELECT PHARM_NAME, TEL_NUM FROM PHARM_LIST_VIEW_INFO WHERE ADDRESS1 = '동대문구'

3,911

건물 면적과 건물 높이를 알려줘

CREATE TABLE "TN_BULD_SOLAR_DVLP" ( "BUL_MAN_NO" TEXT, "BULD_NM" TEXT, "FLOOR_CO" TEXT, "BULD_HG" NUMERIC, "BULD_AR" NUMERIC, "TOT_SG_QY" NUMERIC, "JAN_SG_QY" NUMERIC, "FEB_SG_QY" NUMERIC, "MAR_SG_QY" NUMERIC, "APR_SG_QY" NUMERIC, "MAY_SG_QY" NUMERIC, "JUN_SG_QY" NUMERIC, "JULY_SG_QY" NUMERIC, "AUG_SG_QY" NUMERIC, "SEP_SG_QY" NUMERIC, "OCT_SG_QY" NUMERIC, "NOV_SG_QY" NUMERIC, "DEC_SG_QY" NUMERIC, "ONEQU_SG_QY" NUMERIC, "TWOQU_SG_QY" NUMERIC, "THREEQU_SG_QY" NUMERIC, "FOURQU_SG_QY" NUMERIC, "SOLAR_SHDW_RATE" NUMERIC, "X_UTMK" NUMERIC, "Y_UTMK" NUMERIC )

SELECT BULD_AR, BULD_HG FROM TN_BULD_SOLAR_DVLP

37,602

전화번호가 0205422840인 사업장의 위생 업태명을 알려줘

CREATE TABLE "L_O_C_A_L_D_A_T_A_114401" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "BDNGJISGFLRCNT" TEXT, "BDNGUNDERFLRCNT" TEXT, "USEJISGSTFLR" TEXT, "USEJISGENDFLR" TEXT, "USEUNDERSTFLR" TEXT, "USEUNDERENDFLR" TEXT, "HANSHILCNT" TEXT, "YANGSILCNT" TEXT, "YOKSILCNT" TEXT, "BALHANSILYN" TEXT, "CHAIRCNT" TEXT, "CNDPERMNTWHY" TEXT, "CNDPERMENDYMD" TEXT, "BDNGOWNSENM" TEXT, "WASHMCCNT" TEXT, "WMEIPCNT" TEXT, "ABEDCNT" TEXT, "MULTUSNUPSOYN" TEXT )

SELECT SNTUPTAENM FROM L_O_C_A_L_D_A_T_A_114401 WHERE SITETEL = '0205422840'

8,518

농기계정비기능사 대회의 직종을 알려줘

CREATE TABLE "STS_EXEMPTION_Q_HRDK_COMPETITION_WINNERS" ( "DIVISION_LABORATORYN" TEXT, "PROFESSION_COMPETITIONO" TEXT, "LOCAL_CONVENTIONP" TEXT, "NATIONAL_CONVENTIONQ" TEXT, "I_C_L" TEXT )

SELECT PROFESSION_COMPETITIONO FROM STS_EXEMPTION_Q_HRDK_COMPETITION_WINNERS WHERE LOCAL_CONVENTIONP = '농기계정비기능사'

50,796

소뷴류가 업으로 끝나고 대학원 졸업 석사가 10 이상인 업종명과 남부아시아 진출이 몇 명인지 알려줘

CREATE TABLE "EDUAL_BACKGROUND_INFO_KISED_START_UP_ENTREPRENEURS" ( "CATEGOTY_1" TEXT, "CATEGOTY_2" TEXT, "MID_SCH" NUMERIC, "HIG_SCH" NUMERIC, "COL_SCH" NUMERIC, "UNIV_SCH" NUMERIC, "MASTER" NUMERIC, "DOCTOR" NUMERIC )

SELECT T1.CATEGOTY_2, T2.SOUTH_ASIA FROM EDUAL_BACKGROUND_INFO_KISED_START_UP_ENTREPRENEURS AS T1 JOIN STS_OVERSEAS_EXPANSION_KISED_START_UP_CO AS T2 ON T1.CATEGOTY_2 = T2.CATEGOTY_2 WHERE T1.CATEGOTY_2 LIKE '%업' AND T1.CATEGOTY_2 IN (SELECT CATEGOTY_2 FROM EDUAL_BACKGROUND_INFO_KISED_START_UP_ENTREPRENEURS WHERE MASTER >= 10)

70,463