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publicdata_welfare_5730
λŒ€μΆœ κΈ°κ΄€λ³„λ‘œ λ²ˆν˜Έκ°€ 12둜 μ‹œμž‘λ˜λŠ” μƒν’ˆμ˜ κΈˆμ•‘ 합계 및 평균과 λŒ€μΆœ 기관을 λ³΄μ—¬μ€˜
{'token': '12', 'start': 12, 'column_index': 3}
SELECT LENDING_INSTITUTIONT, SUM(AMTP), AVG(AMTP) FROM HF_BOGEUMJARI_LOAN_AGENCY WHERE PRODUCTO LIKE '12%' GROUP BY LENDING_INSTITUTIONT
publicdata_publicadministration_4198
제λͺ©μ— μ–‘μ£Όκ°€ λ“€μ–΄κ°€κ±°λ‚˜ νŽ˜μ΄μ§€μˆ˜κ°€ 32νŽ˜μ΄μ§€μΈ ebook의 μ œμž‘μΌμ„ μ•Œλ €μ€˜
{'token': 'μ–‘μ£Ό', 'start': 4, 'column_index': 2}, {'token': '32', 'start': 20, 'column_index': 5}
SELECT PRODUCTION_DTH FROM GG_YJ_PATIONS_MNG_SYS_EBOOK_BASIC_INFO WHERE TITLEG LIKE '%μ–‘μ£Ό%' OR NUM_PAGESJ = 32
publicdata_climate_3444
ν•œμ„¬λ‘œμ— μœ„μΉ˜ν•œ 슀마트 μ›Œν„°μ˜ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό 쀑볡 없이 μ•Œλ €μ€˜
{'token': 'ν•œμ„¬λ‘œ', 'start': 0, 'column_index': 2}
SELECT DISTINCT ROAD_NM_ADDRESSI FROM GW_DH_SMART_W_METER_L WHERE ROAD_NM_ADDRESSI LIKE '%ν•œμ„¬λ‘œ%'
publicdata_industrialeconomic_4913
λΆ„λ₯˜λ³„ μžμ›λͺ…μ˜ μˆ˜κ°€ λ§Žμ€ 순으둜 λΆ„λ₯˜μ™€ μžμ›λͺ…μ˜ 수λ₯Ό μ•Œλ €μ€˜
SELECT CLASQ, COUNT(RESOURCE_NMP) FROM KRIBB_KCTC_MICROBIOLOGICAL_R_DATA GROUP BY CLASQ ORDER BY COUNT(RESOURCE_NMP) DESC
seouldata_industrialeconomic_654
은평ꡬ 곡ꡬ λŒ€μ—¬μ†Œμ˜ 평일 μ˜€ν”ˆ μ‹œκ°„μ„ μ•Œλ €μ€˜
{'token': '은평ꡬ', 'start': 0, 'column_index': 6}
SELECT OPENWEEKHOUR FROM TB_V_MAP WHERE GUCODENAME = '은평ꡬ'
seouldata_healthcare_2513
μ—…μ’…λͺ…에 넀일이 λ“€μ–΄κ°€λŠ” κ³΅μ€‘μœ„μƒμ—…μ†Œμ˜ 법정동λͺ…을 쀑볡 없이 μ•Œλ €μ€˜
{'token': '넀일', 'start': 5, 'column_index': 4}
SELECT DISTINCT REGN_NM FROM SB_PUBLIC_HYGIENE_BIZ_LOC_MANAGE WHERE SNT_COB_NM LIKE '%넀일%'
publicdata_healthcare_2074
이름이 λ‹€μ‚°νŒœμΈ μ—…μ†Œμ˜ μ˜μ—…μž₯ 면적을 μ•Œλ €μ€˜
{'token': 'λ‹€μ‚°νŒœ', 'start': 4, 'column_index': 2}
SELECT BUSINESS_SCENE FROM FOOD_MANUFACTURING_I_GORYEONG_GUN_GYEONGBUK WHERE BUSINESS_NAME = 'λ‹€μ‚°νŒœ'
seouldata_industrialeconomic_4797
2015년도에 νμ—…ν•œ λŒ€κ·œλͺ¨ 점포의 μ†Œμž¬μ§€ 면적과 사업μž₯λͺ…은 뭐야
{'token': '2015', 'start': 0, 'column_index': 8}
SELECT SITEAREA, BPLCNM FROM L_O_C_A_L_D_A_T_A_082501_J_G WHERE DCBYMD LIKE '2015%'
publicdata_industrialeconomic_6034
이름에 λ¦¬μ‘°νŠΈκ°€ λ“€μ–΄κ°€λŠ” ν•΄μˆ˜μš•μž₯의 관리청을 쀑볡 없이 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ•Œλ €μ€˜
{'token': '리쑰트', 'start': 4, 'column_index': 3}
SELECT DISTINCT ADMINISTRATIVE_AGENCYY FROM C_STS_BEACH_USERS_MOF_YEAR WHERE NM_BEACHZ LIKE '%리쑰트%' ORDER BY ADMINISTRATIVE_AGENCYY
seouldata_industrialeconomic_1042
2008λ…„ μ‚¬μš©λŸ‰μ΄ 3000 μ΄μƒμ΄κ±°λ‚˜ 5000 μ΄ν•˜μΈ ν–‰μ •λ™μ˜ 이름과 2008λ…„ μ‚¬μš©λŸ‰μ„ 행정동λͺ… κΈ°μ€€ κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': '3000', 'start': 11, 'column_index': 6}, {'token': '5000', 'start': 22, 'column_index': 6}
SELECT ADM_DR_NM, SUM_08 FROM GEO_INFO_DONG_WATER_USAGE2008_W_G_S WHERE SUM_08 >= 3000 OR SUM_08 <= 5000 ORDER BY ADM_DR_NM ASC
seouldata_culture_660
상세 μ˜μ—… μƒνƒœλͺ…이 ν—ˆκ°€ μ·¨μ†ŒμΈ 사업μž₯의 이름을 μ•Œλ €μ€˜
{'token': 'ν—ˆκ°€μ·¨μ†Œ', 'start': 11, 'column_index': 7}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030709 WHERE DTLSTATENM = 'ν—ˆκ°€μ·¨μ†Œ'
seouldata_transportation_182
λ§ˆν¬κ΅¬μ— μžˆλŠ” ꡭ제물λ₯˜μ£Όμ„ μ—…μ²΄λ“€μ˜ κ΄€ν•  ꡬ청 μ½”λ“œλ₯Ό μ°Ύμ•„μ€˜
{'token': '마포ꡬ', 'start': 0, 'column_index': 9}
SELECT PRTCD FROM SERVICE_FORWARDER_INFO WHERE PRTNM = '마포ꡬ'
seouldata_climate_1030
학ꡐ 이름이 μ„œλ‘œ μ‹œμž‘ν•˜κ±°λ‚˜ 법정동λͺ…이 신림동인 곳의 X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ„œ', 'start': 7, 'column_index': 8}, {'token': '신림동', 'start': 22, 'column_index': 3}
SELECT Y, X FROM GEO_INFO_SCHOOL_PARK_SERVICE WHERE SCHUL_NM LIKE 'μ„œ%' OR HNR_NAM = '신림동'
publicdata_transportation_4396
λ²ˆν˜Έκ°€ 5둜 λλ‚˜κ±°λ‚˜ 40인 곳의 μ—­λͺ…κ³Ό μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '5', 'start': 4, 'column_index': 1}, {'token': '40', 'start': 12, 'column_index': 1}
SELECT ADDRESSO, STATION_NML FROM KORAIL_STATION_NAME_HANGUL_ENGLISH_CHINESE_CHARACTER_INFO WHERE NUMK LIKE '%5' OR NUMK = 40
seouldata_healthcare_366
자치ꡬ 이름이 ꡬ둜ꡬ인 λ³‘μ˜μ› 이름을 μ°Ύμ•„μ€˜
{'token': 'ꡬ둜ꡬ', 'start': 8, 'column_index': 9}
SELECT NAME FROM POINT_HOSPITAL_LIST WHERE LOC_NAME = 'ꡬ둜ꡬ'
seouldata_climate_615
강남ꡬ에 ν•΄λ‹Ήν•˜λŠ” 곡간 아이디λ₯Ό μ°Ύμ•„μ€˜
{'token': '강남ꡬ', 'start': 0, 'column_index': 2}
SELECT FLUB_OBJECTID FROM FLUB_MARKS2013 WHERE GU_NAM = '강남ꡬ'
publicdata_culture_5221
μΉœκ΅¬κ°€ λ“€μ–΄κ°€λŠ” μ„œλͺ…μ˜ λ°œν–‰μžλ₯Ό 사전 λ°°μ—΄μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': '친ꡬ', 'start': 0, 'column_index': 2}
SELECT ISSUERL FROM GBE_GBE_YOUNGJU_SEONBI_LIBRARY_HOPE_BOOK_PURCHASE_LIST WHERE SIGNATUREJ LIKE '%친ꡬ%' ORDER BY ISSUERL ASC
seouldata_culture_3925
λ™κ²½κ³¨ν”„μ€‘κ³ κ΅ν™˜μ „λ¬Έμ κ³Ό μ΄μ•ˆκ³¨ν”„μ•„μΉ΄λ°λ―Έμ˜ 건좕물 μ—° 면적이 μ–Όλ§ˆμ•Ό
{'token': 'λ™κ²½κ³¨ν”„μ€‘κ³ κ΅ν™˜μ „λ¬Έμ ', 'start': 0, 'column_index': 16}, {'token': 'μ΄μ•ˆκ³¨ν”„μ•„μΉ΄λ°λ―Έ', 'start': 13, 'column_index': 16}
SELECT BDNGYAREA FROM L_O_C_A_L_D_A_T_A_103101_D_B WHERE BPLCNM = 'λ™κ²½κ³¨ν”„μ€‘κ³ κ΅ν™˜μ „λ¬Έμ ' OR BPLCNM = 'μ΄μ•ˆκ³¨ν”„μ•„μΉ΄λ°λ―Έ'
publicdata_welfare_5878
μ£Όμ†Œμ— 강원도λ₯Ό ν¬ν•¨ν•˜λŠ” μ„Όν„°μ˜ 이름을 λ‚˜νƒ€λ‚΄μ€˜
{'token': '강원도', 'start': 4, 'column_index': 5}
SELECT CENTER_NMJ FROM KYCI_N_YOUTH_COUNSELING_WELFARE_CNT WHERE ADDRESSN LIKE '%강원도%'
seouldata_culture_2631
좜μž₯ 쑰리와 λ°±ν™”μ μ˜ 건수λ₯Ό λ‚˜νƒ€λ‚΄μ€˜
{'token': '좜μž₯쑰리', 'start': 0, 'column_index': 3}, {'token': '백화점', 'start': 7, 'column_index': 3}
SELECT TOTAL_CNT FROM JUNGNANG_JUVENILE_HARMFUL_BIZ WHERE YOUTH_CTA_COB_NM = '좜μž₯쑰리' OR YOUTH_CTA_COB_NM = '백화점'
publicdata_publicadministration_5255
제λͺ©μ— 배솑이 ν¬ν•¨λœ μ†ŒλΉ„μž 이슈 μ •λ³΄μ˜ ν•΄λ‹Ή μΌμžμ™€ 제λͺ©μ„ λ³΄μ—¬μ€˜
{'token': '배솑', 'start': 4, 'column_index': 5}
SELECT TITLEL, DTI FROM CONSUMER_ISSUES_INFO_KR_CONSUMER_R WHERE TITLEL LIKE '%배솑%'
seouldata_climate_431
ν˜•μ‹ μ½”λ“œκ°€ 204인 였수 μ •ν™” μ‹œμ„€μ˜ μš©λŸ‰ 인용과 μš©λŸ‰ 루베λ₯Ό μ•Œλ €μ€˜
{'token': '204', 'start': 7, 'column_index': 4}
SELECT CAPA_PSPER, CAPA_LUBE FROM BIG_JTY_WCLF WHERE WCLF_MODE_CD = 204
publicdata_climate_5691
μš°λŸ‰μ΄ 2 이상인 ν™μˆ˜ 예보의 μ›”μΌμ‹œλΆ„μ„ μ•Œλ €μ€˜
{'token': '2', 'start': 4, 'column_index': 4}
SELECT MONDAY_HOURC FROM ME_HAN_R_F_C_CNT_F_FORECAST_STANDARD_BASIN_MAPLE_PRECIPITATION WHERE BLUE_CHIPD >= 2
publicdata_climate_5713
μ£Όμš” 업무에 μΉ˜λ£Œκ°€ λ“€μ–΄κ°€λŠ” 사업μž₯의 업쒅을 λ³΄μ—¬μ€˜
{'token': '치료', 'start': 7, 'column_index': 13}
SELECT INDUSTRYW FROM B_E_INFO_KEITI_ENV_INFO_D_SYS_CO WHERE MAJOR_TASKY LIKE '%치료%'
publicdata_climate_575
μ—…μ†Œλͺ…에 μ•„νŒŒνŠΈκ°€ λ“€μ–΄κ°€κ³  μ£Όμ†Œμ— 둔산동이 λ“€μ–΄κ°€λŠ” 곳의 μ„€μΉ˜ ν—ˆκ°€μΌμ΄ μ–Έμ œμ•Ό
{'token': 'μ•„νŒŒνŠΈ', 'start': 5, 'column_index': 1}, {'token': '둔산동', 'start': 19, 'column_index': 2}
SELECT AUTHORIZATION_DATE FROM CURRENT_STS_E_AIR_POLLUTANT_DISCHARGE_FAC_SEO_GU_DAEJEON WHERE BUSINESS_NAME LIKE '%μ•„νŒŒνŠΈ%' AND ADDRESS LIKE '%둔산동%'
publicdata_education_6435
예체λŠ₯ κ³„μ—΄λ‘œ λŒ€λΆ„λ₯˜λ˜λŠ” λŒ€ν•™μ˜ 이름을 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
{'token': '예체λŠ₯계열', 'start': 0, 'column_index': 4}
SELECT DISTINCT NM_UNIVERSITYX FROM C_STS_DEPARTMENT_INFO_KR_PROFESSIONAL_UNIV_EDU_COUNCIL WHERE MAJOR_CLASY = '예체λŠ₯계열'
publicdata_industrialeconomic_5966
νŽ„μŠ€ λ ˆμ΄λ” μž₯치 νŠΉν—ˆμ˜ μΆœμ› 일자λ₯Ό μ•Œλ €μ€˜
{'token': 'νŽ„μŠ€ λ ˆμ΄λ” μž₯치', 'start': 0, 'column_index': 2}
SELECT APPLICATION_DTR FROM ETRI_PATENT_REG_STS WHERE PATENT_NMQ = 'νŽ„μŠ€ λ ˆμ΄λ” μž₯치'
seouldata_healthcare_4688
남성 μ’…μ‚¬μžμˆ˜κ°€ 5λͺ… μ΄μƒμ΄κ±°λ‚˜ μ—¬μ„± μ’…μ‚¬μžμˆ˜κ°€ 10λͺ… 이상이고 μ†Œμž¬μ§€ 면적이 넓은 μˆœμ„œλŒ€λ‘œ 사업μž₯λͺ…을 λ³΄μ—¬μ€˜
{'token': '5', 'start': 9, 'column_index': 25}, {'token': '10', 'start': 27, 'column_index': 26}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072213_E_P WHERE MANEIPCNT >= 5 OR WMEIPCNT >= 10 ORDER BY SITEAREA DESC
publicdata_climate_3737
보증 λ²ˆν˜Έκ°€ 6으둜 λλ‚˜λ©΄μ„œ μ ‘μˆ˜ ν’ˆμ˜ λ²ˆν˜Έλ„ 6으둜 λλ‚˜λŠ” 이자 λ‚΄μš©μ˜ μˆœλ²ˆμ„ μ•Œλ €μ€˜
{'token': '6', 'start': 7, 'column_index': 2}, {'token': '6', 'start': 26, 'column_index': 1}
SELECT INTEREST_CONTENT_ORDERG FROM HF_REQUEST_I_CALCULATION_CONTENT WHERE WARRANTY_NUMF LIKE '%6' AND RECEPTION_ITEM_NUME LIKE '%6'
seouldata_healthcare_2698
μ†Œμž¬μ§€ μ§€λ²ˆμ— 묡동이 λ“€μ–΄κ°€λŠ” μ—…μ†Œμ˜ 이름과 주된 μŒμ‹μ„ μ•Œλ €μ€˜
{'token': '묡동', 'start': 8, 'column_index': 9}
SELECT UPSO_NM, MAIN_EDF FROM JUNGNANG_MODEL_RESTAURANT_APPLY WHERE SITE_ADDR LIKE '%묡동%'
publicdata_climate_11762
싀적 감좕λ₯ μ΄ 40 νΌμ„ΌνŠΈ μ΄ν•˜μΈ 것을 μ œμ™Έν•˜κ³  총 μ˜¨μ‹€κ°€μŠ€ 배좜이 5000 μ΄ν•˜μΈ 연도와 총 μ˜¨μ‹€κ°€μŠ€ λ°°μΆœμ€ μ–Όλ§ˆλ‚˜ λ˜λŠ”μ§€ μ•Œλ €μ€˜
{'token': '5000', 'start': 38, 'column_index': 6}, {'token': '40', 'start': 8, 'column_index': 3}
SELECT T1.YEAR, T2.TOTAL_GREENHOUSE_GAS_EMISSIONS FROM TP_GREENHOUSE_GAS_REDUCTION_PERFORMANCE AS T1 JOIN TP_GREENHOUSE_GAS_EMISSIONS AS T2 ON T1.YEAR = T2.YEAR WHERE T2.YEAR NOT IN (SELECT YEAR FROM TP_GREENHOUSE_GAS_REDUCTION_PERFORMANCE WHERE PERFORMANCE_REDUCTION_RATE <= 40) AND T1.YEAR IN (SELECT YEAR FROM TP_GREENHOUSE_GAS_EMISSIONS WHERE TOTAL_GREENHOUSE_GAS_EMISSIONS <= 5000)
publicdata_climate_4839
νŠΉμ„±μ— 녹색이 λ“€μ–΄κ°€κ³  μ†ŒλΆ„λ₯˜μ— μ‹œμŠ€ν…œμ΄ λ“€μ–΄κ°€λŠ” μ—…μ²΄μ˜ 이름을 쀑볡 없이 μ°Ύμ•„μ€˜
{'token': '녹색', 'start': 4, 'column_index': 2}, {'token': 'μ‹œμŠ€ν…œ', 'start': 18, 'column_index': 7}
SELECT DISTINCT COMPANY_NMC FROM ENV_INFO_B_BASED_YEAR_KEITI_ENV_INFO_D_SYS WHERE CHARACTERISTICB LIKE '%녹색%' AND CLAS_ATTRACTIONG LIKE '%μ‹œμŠ€ν…œ%'
publicdata_publicadministration_11614
λΆ€κ³Ό μΌμžλ³„λ‘œ μš©λ„ λͺ…칭에 화물이 ν¬ν•¨λ˜κ³  κ³Όνƒœλ£Œ κΈˆμ•‘μ΄ 4만 원 이상인 μ°¨λŸ‰μ˜ 평균 λΆ€κ³Ό κΈˆμ•‘μ„ λΆ€κ³Ό μΌμžμ™€ ν•¨κ»˜ λ³΄μ—¬μ€˜
{'token': 'ν™”λ¬Ό', 'start': 15, 'column_index': 6}
SELECT T2.IMPOSITION_DATE, AVG(T2.IMPOSITION_MONEY) FROM INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK AS T1 JOIN ADDITIONAL_INFO_ILLEGAL_PARKING_CHARGES_JEONGEUP_JEONBUK AS T2 ON T1.REGISTRATION_NUMBER = T2.REGISTRATION_NUMBER WHERE T2.REGISTRATION_NUMBER IN (SELECT REGISTRATION_NUMBER FROM INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK WHERE NAME LIKE '%ν™”λ¬Ό%') AND T2.REGISTRATION_NUMBER IN (SELECT NOTICE_NUMBER FROM INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK WHERE PENALTY >= 40000) GROUP BY T2.IMPOSITION_DATE