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publicdata_climate_4768
μ μš©κΈˆμ•‘μ΄ 40000원 이상인 μ§€μžμ²΄λ₯Ό κ°€λ‚˜λ‹€μˆœμœΌλ‘œ 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '40000', 'start': 6, 'column_index': 4}
SELECT DISTINCT LOCAL_GOVERNMENTB FROM KW_LOCAL_W_SPL_RATE_INFO_METROPOLITAN_AREA WHERE APPLIED_AMTD >= 40000 ORDER BY LOCAL_GOVERNMENTB
seouldata_culture_4029
상세 μ˜μ—… μƒνƒœκ°€ 폐업인 μ—…μ²΄μ˜ 데이터 κ°±μ‹  일자λ₯Ό μ°Ύμ•„μ€˜
{'token': '폐업', 'start': 10, 'column_index': 7}
SELECT UPDATEDT FROM L_O_C_A_L_D_A_T_A_031304_M_P WHERE DTLSTATENM = '폐업'
seouldata_welfare_757
2020년에 λ“±λ‘λœ κ²Œμ‹œλ¬Όμ˜ 제λͺ©μ„ μ•Œλ €μ€˜
{'token': '2020', 'start': 0, 'column_index': 6}
SELECT SUBJECT FROM TB_VMC_WEBZINE WHERE WDATE LIKE '2020%'
seouldata_culture_2301
사업μž₯ 이름이 신라여행사인 곳의 μΈν—ˆκ°€ μΌμžμ™€ μ΅œμ’… μˆ˜μ • μΌμžλŠ” μ–Έμ œμ•Ό
{'token': '신라여행사', 'start': 8, 'column_index': 16}
SELECT APVPERMYMD, LASTMODTS FROM L_O_C_A_L_D_A_T_A_031202_G_A WHERE BPLCNM = '신라여행사'
seouldata_healthcare_531
사업μž₯의 이름과 μΈν—ˆκ°€ 일자λ₯Ό μ†Œμž¬μ§€ 면적이 넓은 μˆœμ„œλŒ€λ‘œ λ³΄μ—¬μ€˜
SELECT BPLCNM, APVPERMYMD FROM L_O_C_A_L_D_A_T_A_072201 ORDER BY SITEAREA DESC
seouldata_healthcare_2525
법정동λͺ…이 μ„Έ κΈ€μžμΈ 곳에 μœ„μΉ˜ν•œ κ³΅μ€‘μœ„μƒμ—…μ†Œ 수의 μ΅œλŒ“κ°’κ³Ό μ΅œμ†Ÿκ°’μ΄ μ—…μ’…λͺ…λ³„λ‘œ λͺ‡ κ°œμΈμ§€ μ•Œλ €μ€˜
SELECT SNT_COB_NM, MAX(CNT), MIN(CNT) FROM GWANGJIN_PUBLIC_HYGIENE_BIZ_LOC_MANAGE WHERE REGN_NM LIKE '_' GROUP BY SNT_COB_NM
seouldata_industrialeconomic_2352
λ²•μΈμœΌλ‘œ μš΄μ˜λ˜λŠ” 곳의 유효 κΈ°κ°„ 만료 μΌμžλŠ” μ–Έμ œμ•Ό
{'token': '법인', 'start': 0, 'column_index': 6}
SELECT END_APV_YMD FROM GWANGJIN_LIST_LOAN_COMPANY WHERE UPCHE_GBN = '법인'
seouldata_transportation_5192
쀑림동 182에 μ„€μΉ˜λœ CCTV의 단속 지점λͺ…을 μ•Œλ €μ€˜
{'token': '쀑림동182', 'start': 0, 'column_index': 1}
SELECT REGLT_SPOT_NM FROM TB_OPENDATA_FIXEDCCTV_J_G WHERE ADRES = '쀑림동182'
seouldata_culture_1782
성동ꡬ κ²Œμž„λ¬Ό μ œμž‘ 업체 쀑 νμ—…ν•˜μ§€ μ•Šμ€ 사업μž₯의 μΈν—ˆκ°€ 일자λ₯Ό μ΅œμ‹ μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': '폐업', 'start': 16, 'column_index': 5}
SELECT APVPERMYMD FROM L_O_C_A_L_D_A_T_A_030502_S_D WHERE DTLSTATENM != '폐업' ORDER BY APVPERMYMD DESC
seouldata_industrialeconomic_568
λΆ„λ₯˜ μ½”λ“œλͺ…이 ν•œμ‹μ΄λ©΄μ„œ μ—…μ†Œ μ£Όμ†Œμ— κ΅¬λ‘œκ΅¬κ°€ λ“€μ–΄κ°€λŠ” μ—…μ†Œμ˜ 이름을 λ‚˜νƒ€λ‚΄μ€˜
{'token': 'ν•œμ‹', 'start': 8, 'column_index': 4}, {'token': 'ꡬ둜ꡬ', 'start': 21, 'column_index': 5}
SELECT SH_NAME FROM LIST_PRICE_MODEL_STORE_SERVICE WHERE INDUTY_CODE_SE_NAME = 'ν•œμ‹' AND SH_ADDR LIKE '%ꡬ둜ꡬ%'
publicdata_climate_2301
μ‹€ 사업μž₯ 규λͺ¨κ°€ 232μ œκ³±λ―Έν„°μΈ μƒν˜Έλ₯Ό μ•Œλ €μ€˜
{'token': '232', 'start': 10, 'column_index': 6}
SELECT TRADE_NMO FROM GG_NYJ_FOOD_W_DISCHARGE_B_SITE_INFO WHERE B_E_S_N_S_M_R_Z = 232
seouldata_culture_1898
상세 μ˜μ—… μƒνƒœλͺ…이 μ „μΆœμΈ 사업μž₯의 이름을 μ•Œλ €μ€˜
{'token': 'μ „μΆœ', 'start': 11, 'column_index': 6}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030802_S_D WHERE DTLSTATENM = 'μ „μΆœ'
seouldata_healthcare_3368
상세 μ˜μ—… μƒνƒœκ°€ νμ—…μ΄κ±°λ‚˜ 이름에 ν—€μ–΄κ°€ λ“€μ–΄κ°€λŠ” 사업μž₯의 μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
{'token': 'ν—€μ–΄', 'start': 20, 'column_index': 15}, {'token': '폐업', 'start': 10, 'column_index': 6}
SELECT SITEWHLADDR FROM L_O_C_A_L_D_A_T_A_051801_G_C WHERE BPLCNM LIKE '%ν—€μ–΄%' OR DTLSTATENM = '폐업'
publicdata_education_3546
μ£Όμ†Œμ— 곀지암이 λ“€μ–΄κ°€κ±°λ‚˜ 섀립 ꡬ뢄이 사립인 ν•™κ΅μ˜ 이름을 λ‚˜νƒ€λ‚΄μ€˜
{'token': '곀지암', 'start': 4, 'column_index': 2}, {'token': '사립', 'start': 22, 'column_index': 12}
SELECT SCHOOL_NMU FROM GGGJ_SCHOOL_STS WHERE ADDRESSV LIKE '%곀지암%' OR ESTABLISHMENT_CLASF = '사립'
publicdata_climate_1484
λ‚˜μš΄λ™μ— μœ„μΉ˜ν•œ μ—…μ†Œμ˜ 이름을 사전 λ°°μ—΄μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': 'λ‚˜μš΄λ™', 'start': 0, 'column_index': 4}
SELECT BUSINESS_NAME FROM CURRENT_STS_BAKERY_GUNSAN_JEONBUK WHERE LOCATION_ROAD_NAME LIKE '%λ‚˜μš΄λ™%' ORDER BY BUSINESS_NAME
seouldata_healthcare_2394
이름이 꿀땅콩인 μ œν’ˆμ˜ κ΅­κ°€λͺ…을 μ•Œλ €μ€˜
{'token': '꿀땅콩', 'start': 4, 'column_index': 11}
SELECT NTN FROM JUNGGU_FOOD_COLLECT_CHECK WHERE PRDT_NM = '꿀땅콩'
publicdata_transportation_2807
경유 노선에 μ‹œλ‚΄κ°€ λ“€μ–΄κ°€κ±°λ‚˜ λ²ˆν˜Έκ°€ 20091인 μ •λ₯˜μ†Œμ˜ 이름을 μ•Œλ €μ€˜
{'token': '20091', 'start': 21, 'column_index': 2}, {'token': 'μ‹œλ‚΄', 'start': 7, 'column_index': 4}
SELECT NM_BUS_STOPL FROM STS_GGY_BUS_STOP WHERE BUS_STOP_NUMK = '20091' OR TRANSIT_ROUTEM LIKE '%μ‹œλ‚΄%'
publicdata_education_4672
μ„œμšΈλ‘œ μ‹œμž‘ν•˜λŠ” λŒ€ν•™λͺ…을 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ 쀑볡 없이 λ‚˜μ—΄ν•΄μ€˜
{'token': 'μ„œμšΈ', 'start': 0, 'column_index': 2}
SELECT DISTINCT NM_UNIVERSITYZ FROM KOSAF_LOANABLE_PROD_S WHERE NM_UNIVERSITYZ LIKE 'μ„œμšΈ%' ORDER BY NM_UNIVERSITYZ DESC
seouldata_climate_360
2022λ…„ 7월에 λ“±λ‘λœ μ‹€λ‚΄κ³΅κΈ°μ§ˆ 정보 쀑에 μŠ΅λ„κ°€ 50보닀 높은 곳의 μ˜¨λ„λ₯Ό μ•Œλ €μ€˜
{'token': '2022λ…„ 7μ›”', 'start': 0, 'column_index': 10}, {'token': '50', 'start': 30, 'column_index': 7}
SELECT COLUMN2 FROM IOT_VDATA012 WHERE REGIST_DT LIKE '202207%' OR COLUMN3 > '50'
seouldata_culture_413
μ§€λ²ˆ μ£Όμ†Œμ— 쀑곑동이 ν¬ν•¨ν•œ 사업μž₯ 이름을 μ°Ύμ•„μ€˜
{'token': '쀑곑동', 'start': 7, 'column_index': 13}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_104101 WHERE SITEWHLADDR LIKE '%쀑곑동%'
publicdata_industrialeconomic_6373
λŒ€λΆ„λ₯˜κ°€ μ ˆμ—° μžμž¬μ΄κ±°λ‚˜ λΆ€μ†ν’ˆμ„ ν¬ν•¨ν•˜λŠ” 곳의 μ‹œλ„μ™€ λ„λ‘œλͺ…을 λ‚˜νƒ€λ‚΄μ€˜
{'token': 'μ ˆμ—°μžμž¬', 'start': 5, 'column_index': 9}, {'token': 'λΆ€μ†ν’ˆ', 'start': 14, 'column_index': 9}
SELECT ROAD_NMW, CITY_PROVINCES FROM KEPCO_PWPARTNERPRIMEVOICE_HIGH_CAPACITY_CUSTOMERS WHERE MAJOR_CLASA = 'μ ˆμ—°μžμž¬' OR MAJOR_CLASA LIKE '%λΆ€μ†ν’ˆ%'
publicdata_climate_4347
2020λ…„ 9μ›” 15일에 μˆ˜μ‹ ν•œ μ‘°κΈ° μƒν™˜ 수수료 면제의 λ°œμƒ 일자λ₯Ό 쀑볡 없이 μ°Ύμ•„μ€˜
{'token': '2020λ…„ 9μ›” 15일', 'start': 0, 'column_index': 2}
SELECT DISTINCT OCCURRENCE_DTX FROM HF_EARLY_REPAYMENT_FEE_EXEMPTION_DEATH WHERE DT_RECEIPT_DTN = '2020-09-15'
publicdata_climate_5612
μ—…μ’… ꡬ뢄별 ν•˜λ°˜κΈ° μ‹€μ‹œ 사업μž₯ μˆ˜κ°€ 10개 μ΄ν•˜μ΄κ±°λ‚˜ 10000개 이상인 사업μž₯의 μƒλ°˜κΈ° μ‹€μ‹œ 사업μž₯ 수 합계와 μ—…μ’… ꡬ뢄을 λ³΄μ—¬μ€˜
{'token': '10', 'start': 21, 'column_index': 8}
SELECT INDUSTRY_CLASG, SUM(N_B_E_I_F_H_Y_DE) FROM MET_KOSHA_WORK_E_MET_I_STS_EXCESS_WORKPS WHERE N_B_E_I_S_H_Y_DE <= 10 OR N_B_E_I_S_H_Y_DE >= 10 GROUP BY INDUSTRY_CLASG
publicdata_industrialeconomic_6427
기술이 ν¬ν•¨λœ 메뉴λͺ…을 λ³΄μ—¬μ€˜
{'token': '기술', 'start': 0, 'column_index': 2}
SELECT MENU_NMG FROM I_P_P_M_C_M_I_B_K_C_R_E_S_H WHERE MENU_NMG LIKE '%기술%'
publicdata_climate_5575
이름이 k둜 μ‹œμž‘ν•˜λŠ” ν”„λ‘œκ·Έλž¨μ˜ μˆ˜ν–‰ 일자λ₯Ό 검색 κ±΄μˆ˜κ°€ 높은 순으둜 λ‚˜μ—΄ν—€μ€˜
{'token': 'K', 'start': 4, 'column_index': 2}
SELECT PERFORMANCE_DTT FROM HF_SCHEDULE_MNG_RELATED_DETAILS WHERE PROGRAM_NMU LIKE 'K%' ORDER BY NUM_SEARCHESV DESC
publicdata_industrialeconomic_4935
7μ‹œ λ°œμ „λŸ‰μ΄ 900000 이상이고 8μ‹œ λ°œμ „λŸ‰μ΄ 950000 이상인 μ—° μ›” 일을 μ•Œλ €μ€˜
{'token': '900000', 'start': 8, 'column_index': 10}, {'token': '950000', 'start': 28, 'column_index': 11}
SELECT YEAR_MONTH_DTS FROM C_STS_SOLAR_PW_GENERATION_IWEST WHERE H_07A >= 900000 AND H_08B >= 950000
publicdata_healthcare_5070
μƒν•œ κΈˆμ•‘μ΄ 2000 μ΄μƒμ΄λ©΄μ„œ μ›λ£Œ μƒμ•½μ˜ 총 ν•¨λŸ‰μ΄ 45 이상인 ν•œμ•½μ œμ œμ˜ μ œν’ˆλͺ…을 λ‚˜νƒ€λ‚΄μ€˜
{'token': '45', 'start': 31, 'column_index': 8}, {'token': '2000', 'start': 7, 'column_index': 10}
SELECT NM_PRODUCTB FROM HIRA_PHARMACOPOEIA_M_SALARY_PHARMACEUTICALS WHERE T_C_R_M_H_M_G_J >= 45 AND UPPER_LIMIT_AMTH >= 2000
publicdata_transportation_454
내뢀에 μœ„μΉ˜ν•΄ μžˆκ±°λ‚˜ 터널 이름에 강릉이 λ“€μ–΄κ°€λŠ” CCTV의 λ°©ν–₯을 μ•Œλ €μ€˜
{'token': 'λ‚΄λΆ€', 'start': 0, 'column_index': 8}, {'token': '강릉', 'start': 19, 'column_index': 5}
SELECT DISTINCT DIRECTION FROM CURRENT_STS_CCTV_ROAD_MNG_EX_TUNNEL WHERE LOCATION = 'λ‚΄λΆ€' OR TUNNEL_NAME LIKE '%강릉%'
publicdata_industrialeconomic_11292
OSSA 운영 지원 계약 κ±΄μˆ˜κ°€ 평균보닀 μ κ±°λ‚˜ ꡐ윑 λ“± 기타 μ‹œν–‰μ΄ 3회 이상인 연도λ₯Ό 졜근인 μˆœλΆ€ν„° μ •λ ¬ν•΄ 쀘
{'token': '3', 'start': 39, 'column_index': 3}
SELECT T1.YEAR FROM REFERENCE_POWER_PLANT_BENCHMARK_STS_KHNP_UAE_BUSINESS_YEAR_YEAR AS T1 JOIN STS_MANPOWER_INPUT_KHNP_UAE_PRO_YEAR_YEAR AS T2 ON T1.YEAR = T2.YEAR WHERE T2.OSSA_PEOPLE < (SELECT AVG(OSSA_PEOPLE) FROM STS_MANPOWER_INPUT_KHNP_UAE_PRO_YEAR_YEAR) OR T1.EDU_OTH_NUM IN (SELECT EDU_OTH_NUM FROM REFERENCE_POWER_PLANT_BENCHMARK_STS_KHNP_UAE_BUSINESS_YEAR_YEAR WHERE EDU_OTH_NUM >= 3) ORDER BY T1.YEAR DESC
publicdata_climate_5943
ν‘œκ³ κ°€ 35인 ν•˜λ„ λ‹¨λ©΄μ˜ 거리λ₯Ό 쀑볡 없이 μ•Œλ €μ€˜
{'token': '35', 'start': 4, 'column_index': 6}
SELECT DISTINCT DISTANCEV FROM F_P_SUBSECTION_ME_HAN_R_F_C_CNT WHERE ELEVATIONW = 35
publicdata_culture_5757
10μ‹œμ— μ˜ˆμ•½μ΄ κ°€λŠ₯ν•œ μ‹œμ„€μ˜ 이름을 쀑볡 없이 μ°Ύμ•„μ€˜
{'token': '10', 'start': 0, 'column_index': 6}
SELECT DISTINCT BOOK_NMD FROM R_INFO_KR_CREATIVE_CONTENT_AGENCY_CORPORATE_SU_CNT WHERE BOOK_TIMEH = 10
seouldata_culture_987
μ΅œμ’… ν‘œκΈ°λͺ…이 λ΄‰μ²œλ™λ¨Ήμžκ³¨λͺ©μΈ κ΄€κ΄‘ 거리의 μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': 'λ΄‰μ²œλ™λ¨Ήμžκ³¨λͺ©', 'start': 8, 'column_index': 4}
SELECT ADD_KOR FROM SEBC_TOUR_STREET_KOR WHERE NAME_KOR = 'λ΄‰μ²œλ™λ¨Ήμžκ³¨λͺ©'
seouldata_culture_3232
μ˜μ—…μƒνƒœκ°€ 정상인 μ„œμšΈ μ†‘νŒŒκ΅¬μ— μžˆλŠ” μ˜ν™” μ œμž‘μ—…μ†Œμ˜ μ†Œμž¬μ§€ μš°νŽΈλ²ˆν˜Έμ™€ μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '정상', 'start': 6, 'column_index': 6}
SELECT SITEPOSTNO, SITEWHLADDR FROM L_O_C_A_L_D_A_T_A_031305_S_P WHERE TRDSTATENM = 'μ˜μ—…/정상'
seouldata_culture_2045
총 μΈ΅μˆ˜κ°€ 6μΈ΅ μ΄μƒμ΄κ±°λ‚˜ μ‹œμ„€ 면적이 300 이상인 곳의 사업μž₯ 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': '6', 'start': 6, 'column_index': 24}, {'token': '300', 'start': 22, 'column_index': 26}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030507_J_R WHERE TOTNUMLAY >= 6 OR FACILAR >= 300 ORDER BY BPLCNM ASC
publicdata_healthcare_6596
μ½”λ“œκ°€ 3으둜 μ‹œμž‘ν•˜λŠ” 곳의 μ½”λ“œλͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': '3', 'start': 4, 'column_index': 2}
SELECT CD_NMU FROM HIRA_CD_TADM_REGION WHERE CDT LIKE '3%' ORDER BY CD_NMU
seouldata_welfare_1537
λ“œλ¦Όν™ˆμŠ€μΏ¨μ˜ μ‹œμ„€ μ½”λ“œλŠ” 뭐야
{'token': 'λ“œλ¦Όν™ˆμŠ€μΏ¨', 'start': 0, 'column_index': 1}
SELECT GC_WELFARE_FCLT_CD FROM FCLT_OPEN_INFO_G_C WHERE GC_WELFARE_FCLT_NM = 'λ“œλ¦Όν™ˆμŠ€μΏ¨'
seouldata_healthcare_3636
μš©μ‚°κ΅¬ μ‹ν’ˆ μ†ŒλΆ„μ—… μΈν—ˆκ°€ 정보 쀑 μ§€λ²ˆμ£Όμ†Œμ— ν•œλ‚¨λ™μ΄ λ“€μ–΄κ°€λŠ” 곳의 사업μž₯λͺ…이 λ­λ‹ˆ
{'token': 'ν•œλ‚¨λ™', 'start': 26, 'column_index': 13}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072208_Y_S WHERE SITEWHLADDR LIKE '%ν•œλ‚¨λ™%'
seouldata_healthcare_2134
μ§€λ²ˆ μ£Όμ†Œκ°€ μ„œμšΈνŠΉλ³„μ‹œ μ„œμ΄ˆκ΅¬ μ„œμ΄ˆλ™ 1307λ²ˆμ§€ 7호인 사업μž₯의 이름을 λ³΄μ—¬μ€˜
{'token': 'μ„œμšΈνŠΉλ³„μ‹œ μ„œμ΄ˆκ΅¬ μ„œμ΄ˆλ™ 1307λ²ˆμ§€ 7호', 'start': 7, 'column_index': 15}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_010105_S_C WHERE SITEWHLADDR = 'μ„œμšΈνŠΉλ³„μ‹œ μ„œμ΄ˆκ΅¬ μ„œμ΄ˆλ™ 1307λ²ˆμ§€ 7호'
publicdata_climate_3542
μ›” λ°°μΆœλŸ‰μ΄ 4320μ΄κ±°λ‚˜ 1296인 사업μž₯의 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ•Œλ €μ€˜
{'token': '4320', 'start': 7, 'column_index': 4}, {'token': '1296', 'start': 15, 'column_index': 4}
SELECT B_E_N_ZZ FROM GNCW_FOOD_BULK_DISCHARGE_B_OS WHERE MONTHLY_EMISSIONS_KGG = 4320 OR MONTHLY_EMISSIONS_KGG = 1296 ORDER BY B_E_N_ZZ
publicdata_transportation_5856
μ •μ°¨μ—­λ³„λ‘œ KTX의 승차 인원 합계 및 평균과 정차역을 λ³΄μ—¬μ€˜
{'token': 'KTX', 'start': 6, 'column_index': 3}
SELECT STOP_STATIONB, SUM(NUM_PASSENGERSE), AVG(NUM_PASSENGERSE) FROM NUM_PEOPLE_GETTING_OFF_STATION_T_KORAIL_STOP WHERE TRAIN_MODELC LIKE '%KTX%' GROUP BY STOP_STATIONB
seouldata_industrialeconomic_1737
μ „ν™”λ²ˆν˜Έμ— 202κ°€ λ“€μ–΄κ°„ 곳의 사업μž₯λͺ…을 μ•Œλ €μ€˜
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_082604_J_R WHERE SITETEL LIKE '%202%'
seouldata_transportation_811
λŒ€μ—¬μ†Œ 아이디가 ST 1004인 곳의 μœ„λ„λ₯Ό μ•Œλ €μ€˜
{'token': 'ST 1004', 'start': 9, 'column_index': 1}
SELECT STATN_LAT FROM BIKE_STATION_MASTER WHERE LENDPLACE_ID = 'ST-1004'
seouldata_culture_3700
μ œμž‘ μ·¨κΈ‰ ν’ˆλͺ© λ‚΄μš©μ΄ λΉ„λ””μ˜€λ¬Όμ΄κ³  λ„λ‘œλͺ… μš°νŽΈλ²ˆν˜Έκ°€ 4377인 사업μž₯의 지상 측수λ₯Ό μ•Œλ €μ€˜
{'token': '4377', 'start': 30, 'column_index': 16}, {'token': 'λΉ„λ””μ˜€λ¬Ό', 'start': 13, 'column_index': 25}
SELECT JISGNUMLAY FROM L_O_C_A_L_D_A_T_A_031005_Y_S WHERE MNFACTREARTCLCN = 'λΉ„λ””μ˜€λ¬Ό' AND RDNPOSTNO = 4377
seouldata_healthcare_2016
상세 μ˜μ—… μƒνƒœλͺ…이 μ˜μ—…μ΄λ©΄μ„œ λ„λ‘œλͺ… μ£Όμ†Œμ— κ΄€μ•…λ‘œκ°€ λ“€μ–΄κ°€λŠ” 사업μž₯의 μ†Œμž¬μ§€ 우편번호λ₯Ό μ˜€λ¦„μ°¨μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': 'κ΄€μ•…λ‘œ', 'start': 25, 'column_index': 14}, {'token': 'μ˜μ—…', 'start': 11, 'column_index': 7}
SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_072102_G_A WHERE DTLSTATENM = 'μ˜μ—…' AND RDNWHLADDR LIKE '%κ΄€μ•…λ‘œ%' ORDER BY SITEPOSTNO
publicdata_education_5086
ꡐ윑 뢄야에 예λŠ₯이 ν¬ν•¨λ˜λŠ” 곳의 학원λͺ…을 μ°Ύμ•„μ€˜
{'token': '예λŠ₯', 'start': 7, 'column_index': 3}
SELECT NM_ACADEMYI FROM GBE_GB_MGES_MUNGYEONG_EDU_SU_O_ACADEMY_STS WHERE FIELD_CLASK LIKE '%예λŠ₯%'
seouldata_healthcare_2667
ν–‰μ •μ²˜λΆ„μœΌλ‘œ νμ—…ν•œ μ˜μ—…μž₯의 평균 면적은 μ–Όλ§ˆμ•Ό
{'token': 'ν–‰μ •μ²˜λΆ„', 'start': 0, 'column_index': 16}
SELECT AVG(TRDP_AREA) FROM SC_FOOD_HYGIENE_BIZ_SALE_IMPORT WHERE DCB_WHY = 'ν–‰μ •μ²˜λΆ„'
publicdata_climate_1415
μ˜€μ—Ό 물질 μ’…λ₯˜μ— ν•­κ³΅μœ κ°€ λ“€μ–΄κ°€λŠ” μ‹œμ„€μ˜ μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
{'token': 'ν•­κ³΅μœ ', 'start': 10, 'column_index': 5}
SELECT MATERIAL_MAP_NAME_ADDRESS FROM CURRENT_STS_FAC_S_SPECIFIC_SOIL_POL_CTL_SEONGNAM_SI_GYEONGGI WHERE POLLUTANT LIKE '%ν•­κ³΅μœ %'
publicdata_publicadministration_13837
μ΅œλŒ€ κ²Œμ‹œ μˆ˜λŸ‰μ΄ 5개 이상이고 μœ„μΉ˜μ— μ‚¬λ¬΄μ†Œκ°€ λ“€μ–΄κ°€λŠ” 법정동 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
{'token': '5', 'start': 10, 'column_index': 15}, {'token': 'μ‚¬λ¬΄μ†Œ', 'start': 22, 'column_index': 14}
SELECT T1.LEGAL_NMF FROM GGGJ_EUP_MYEON_DONG_CD AS T1 JOIN GGGJ_BANNER_BANNER_ERA AS T2 ON T1.LEGAL_NMF = T2.LEGAL_AREAU WHERE T2.MAX_PUBLISHED_QUANTITYZ >= 5 AND T2.LOCY IN (SELECT LOCY FROM GGGJ_BANNER_BANNER_ERA WHERE LOCY LIKE '%μ‚¬λ¬΄μ†Œ%') ORDER BY LEGAL_NMF ASC
publicdata_climate_4102
μ„œκ·€ν¬μ‹œμ— μžˆλŠ” μ €μž₯μ‘° μš©λŸ‰μ˜ 평균값은 μ–Όλ§ˆμ•Ό
{'token': 'μ„œκ·€ν¬μ‹œ', 'start': 0, 'column_index': 5}
SELECT AVG(STORAGE_TANK_CPC) FROM KECO_LS_EX_E_HANDOVER_MNG_SYS_LICENSE_GUIDE_STORAGE_TANK WHERE FACILITY_SALES_ADDRESS2E = 'μ„œκ·€ν¬μ‹œ'
seouldata_industrialeconomic_3769
μ—…νƒœ ꡬ뢄λͺ…이 μ£Όμœ μ†Œμ΄κ³  상세 μ˜μ—… μƒνƒœλͺ…이 μ‹ κ·œ 등둝인 사업μž₯λͺ…을 λ³΄μ—¬μ€˜
{'token': 'μ£Όμœ μ†Œ', 'start': 8, 'column_index': 18}, {'token': 'μ‹ κ·œλ“±λ‘', 'start': 25, 'column_index': 6}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_092808_G_B WHERE UPTAENM = 'μ£Όμœ μ†Œ' AND DTLSTATENM = 'μ‹ κ·œλ“±λ‘'
seouldata_culture_2053
μ£Όμ‹νšŒμ‚¬μ΄μ›ƒνˆ¬μ–΄μ˜ μΈν—ˆκ°€ μΌμžμ™€ 폐업 일자λ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ£Όμ‹νšŒμ‚¬μ΄μ›ƒνˆ¬μ–΄', 'start': 0, 'column_index': 14}
SELECT DCBYMD, APVPERMYMD FROM L_O_C_A_L_D_A_T_A_031202_G_D WHERE BPLCNM = 'μ£Όμ‹νšŒμ‚¬μ΄μ›ƒνˆ¬μ–΄'
publicdata_transportation_11108
μŠΉκ°•κΈ°μ˜ λ²ˆν˜Έκ°€ 8둜 λλ‚˜κ±°λ‚˜ μ„€μΉ˜ μœ„μΉ˜κ°€ 외뢀인 μ—˜λ¦¬λ² μ΄ν„°κ°€ μžˆλŠ” μ—­μ˜ 이름을 μ•Œλ €μ€˜
{'token': '8', 'start': 9, 'column_index': 5}, {'token': 'μ™ΈλΆ€', 'start': 24, 'column_index': 7}
SELECT T2.STATION_NAME FROM SELMETRO_ELEVATOR_I_INFO AS T1 JOIN STS_SELMETRO_UNMANNED_CIVIL_SERVICE_ISSUER AS T2 ON T1.STATION_NAME = T2.STATION_NAME WHERE T1.INSTALLATION_LOCATION IN (SELECT INSTALLATION_LOCATION FROM SELMETRO_ELEVATOR_I_INFO WHERE INSTALLATION_LOCATION = 'μ™ΈλΆ€') OR ELEVATOR_NUMBER LIKE '%8'
seouldata_transportation_180
μ‹ κ·œ 등둝 μˆ˜κ°€ 4건인 연도λ₯Ό 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '4', 'start': 9, 'column_index': 3}
SELECT DISTINCT APPLY_YEAR FROM IDM_STAT_MONTH_VIEW WHERE NEWREGCOUNT = 4
publicdata_publicadministration_2528
업체λͺ…이 κ±΄μ„€λ‘œ λλ‚˜λ©΄μ„œ λ„λ‘œλͺ… μ£Όμ†Œμ— μˆ˜μΈλ‘œκ°€ λ“€μ–΄κ°€λŠ” μ—…μ²΄μ˜ 이름은 뭐야
{'token': '건섀', 'start': 5, 'column_index': 1}, {'token': '수인둜', 'start': 22, 'column_index': 3}
SELECT COMPANY_NMM FROM STS_GG_SU_C_CONST_I WHERE COMPANY_NMM LIKE '%건섀' AND ROAD_NM_ADDRESSO LIKE '%수인둜%'
publicdata_healthcare_106
μ†Œμž¬μ§€μ— μ²­μ²œλ™μ΄ λ“€μ–΄κ°€κ±°λ‚˜ 지정 연도가 2014인 μ—…μ†Œμ˜ 이름을 μ•Œλ €μ€˜
{'token': 'μ²­μ²œλ™', 'start': 5, 'column_index': 4}, {'token': '2014', 'start': 23, 'column_index': 5}
SELECT BUSINESS_NAME FROM LIST_OUTSTANDING_P_HEALTH_ES_BUPYEONG_GU_INCHEON WHERE LOCATION LIKE '%μ²­μ²œλ™%' OR SPECIFICATION = 2014
publicdata_industrialeconomic_4522
ν•œμˆ˜μ›μ΄ λ“€μ–΄κ°€λŠ” μ„€λͺ… 자료λ₯Ό 연도가 였래된 μˆœμ„œλ‘œ λ³΄μ—¬μ€˜
{'token': 'ν•œμˆ˜μ›', 'start': 0, 'column_index': 3}
SELECT EXPLANATION_DATAQ FROM C_STS_EXPLANATORY_DATA_PROVIDED_KHNP_MEDIA WHERE EXPLANATION_DATAQ LIKE '%ν•œμˆ˜μ›%' ORDER BY YEARO
publicdata_publicadministration_12798
μ „ν™”λ²ˆν˜Έκ°€ 2둜 λλ‚˜λŠ” μ•½κ΅­κ³Ό 같은 동에 μžˆλŠ” μ•„νŒŒνŠΈμ˜ 단지λͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ •λ ¬ν•΄μ„œ λ³΄μ—¬μ€˜
{'token': '2', 'start': 6, 'column_index': 18}
SELECT T1.JUST_NMU FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.PHONE_NUMZ IN (SELECT PHONE_NUMZ FROM GGIC_PHARMACY_STS WHERE PHONE_NUMZ LIKE '%2') ORDER BY T1.JUST_NMU ASC
seouldata_culture_3491
μ€‘λž‘κ΅¬μ— μœ„μΉ˜ν•œ λ―Έλž˜κ΄‘κ³ μ˜ μΈν—ˆκ°€ 정보λ₯Ό μ΅œμ’…μœΌλ‘œ μˆ˜μ •ν•œ 날은 μ–Έμ œμ•Ό
{'token': 'λ―Έλž˜κ΄‘κ³ ', 'start': 9, 'column_index': 14}
SELECT LASTMODTS FROM L_O_C_A_L_D_A_T_A_041501_J_R WHERE BPLCNM = 'λ―Έλž˜κ΄‘κ³ '
publicdata_climate_6141
μ°Έμ‘°λͺ…이 H411μ΄κ±°λ‚˜ ν•­λͺ©μ΄ 3으둜 λλ‚˜λŠ” μœ ν•΄ 물질 ν™•μž₯ 물질의 이름을 μ•Œλ €μ€˜
{'token': '3', 'start': 17, 'column_index': 2}, {'token': 'H411', 'start': 5, 'column_index': 4}
SELECT H_S_E_S_N_T FROM KEITI_ENV_SIGN_C_CRITERIA_HAZARDOUS_SUBSTANCES_DETAILS WHERE H_S_E_R_N_U = 'H411' OR H_S_E_I_S LIKE '%3'
publicdata_industrialeconomic_1423
업쒅별 μΉ΄λ“œ λ§€μΆœμ•‘μ˜ 합계와 업쒅을 μ°Ύμ•„μ€˜
SELECT SECTORS, SUM(CARD_SALES) FROM CURRENT_STS_LC_I_MUJU_GUN_JEONBUK GROUP BY SECTORS
publicdata_climate_802
μ£Όμ†Œμ— 평릉동이 λ“€μ–΄κ°€λŠ” 사업μž₯의 이름과 λ°œμƒ 폐기물을 μ•Œλ €μ€˜
{'token': '평릉동', 'start': 4, 'column_index': 4}
SELECT BUSINESS, WASTE FROM REPORT_INFO_WASTE_DISCHARGER_DONGHAE_SI_GANGWONM WHERE BUSINESS_ADDRESS LIKE '%평릉동%'
seouldata_healthcare_2407
지도 점검 κ³„νšμ— 2016년이 λ“€μ–΄κ°€λŠ” μ—…μ†Œμ˜ 이름을 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '2016λ…„', 'start': 10, 'column_index': 6}
SELECT DISTINCT UPSO_NM FROM SEODAEMUN_FOOD_COLLECT_CHECK_HYGIENE_BIZ WHERE CHK_PLN_NM LIKE '%2016λ…„%'
seouldata_healthcare_1639
μ”¨μœ  μ‹ κΈˆν˜Έμ μ˜ μ „ν™”λ²ˆν˜ΈλŠ” 뭐야
{'token': 'μ”¨μœ  μ‹ κΈˆν˜Έμ ', 'start': 0, 'column_index': 13}
SELECT SITETEL FROM L_O_C_A_L_D_A_T_A_010105_S_D WHERE BPLCNM = 'μ”¨μœ  μ‹ κΈˆν˜Έμ '
publicdata_healthcare_2196
μ‘μ‹œμžμ˜ μˆ˜μ™€ 성별을 μ„±λ³„λ‘œ λ¬Άμ–΄μ„œ λ³΄μ—¬μ€˜
SELECT GENDER, COUNT(GENDER) FROM KUKSIWON_APPLICANT_STS_DENTIST GROUP BY GENDER
publicdata_industrialeconomic_6511
연령이 30μ΄κ±°λ‚˜ 60 μ•„λ‹ˆλ©΄ 50인 μ •λ³΄μ˜ κΈ°μ€€ 일자λ₯Ό 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '50', 'start': 17, 'column_index': 6}, {'token': '30', 'start': 4, 'column_index': 6}, {'token': '60', 'start': 10, 'column_index': 6}
SELECT DISTINCT BASE_DTH FROM BASIC_INFO_FULL_ALL_KR_ASSET_MNG_C_HAPPINESS_FUND WHERE AGEM = 30 OR AGEM = 60 OR AGEM = 50
publicdata_education_3865
컨텐츠 ν•œκΈ€λͺ…이 μ•Όκ΅¬μ™•μœΌλ‘œ μ‹œμž‘ν•΄μ„œ λ°•μ‚¬λ‘œ λλ‚˜λŠ” λ„μ„œμ˜ λŒ€μΆœ κΆŒμˆ˜λŠ” μ–Όλ§ˆμ•Ό
{'token': '야ꡬ왕', 'start': 9, 'column_index': 2}, {'token': '박사', 'start': 20, 'column_index': 2}
SELECT NUM_LOANSB FROM GGGY_LIBRARY_CNT_CONTENT_USAGE_INFO WHERE CONTENT_HANGUL_NMA LIKE '야ꡬ왕%' AND CONTENT_HANGUL_NMA LIKE '%박사'
publicdata_industrialeconomic_5424
νƒœμ–‘μ΄ λ“€μ–΄κ°€λŠ” μ›λ£Œμ›μ˜ κ±°λž˜μΌμ€ μ–Έμ œμ•Ό
{'token': 'νƒœμ–‘', 'start': 0, 'column_index': 2}
SELECT TRADING_DAYO FROM KPX_SEOUL_ELECITY_TRADING_VOLUME WHERE FUEL_SOURCEN LIKE '%νƒœμ–‘%'
publicdata_industrialeconomic_5913
λŒ€κ΅¬μ˜ ν–‡μ‚΄λ‘  인수 μΌμžλŠ” μ–Έμ œμ•Ό
{'token': 'λŒ€κ΅¬', 'start': 0, 'column_index': 2}
SELECT ACQUISITION_DTR FROM I_A_S_L_R_K_A_M_C_N_H_F_H WHERE AREAS = 'λŒ€κ΅¬'
publicdata_publicadministration_5137
2012λ…„ 4μ›” μ§€μˆ˜κ°€ 97μ΄κ±°λ‚˜ 112인 λ°μ΄ν„°μ˜ 2012λ…„ 5μ›” μ§€μˆ˜λ₯Ό λ‚˜νƒ€λ‚΄μ€˜
{'token': '97', 'start': 13, 'column_index': 2}, {'token': '112', 'start': 19, 'column_index': 2}
SELECT Y_2012_05Z FROM REB_N_HOUSING_PRICE_TREND_SURVEY_M_TREND_APT_S_PRICE_IDX_SIZE WHERE Y_2012_04Y = '97' OR Y_2012_04Y = '112'
publicdata_industrialeconomic_6335
κ΅¬λΆ„λ³„λ‘œ κ³΅μ‚¬μ±„κΆŒ 인수 건수의 평균값과 ꡬ뢄을 λ‚˜νƒ€λ‚΄μ€˜
SELECT AVG(COUNTV), SORTATIONU FROM STS_KR_ASSET_MNG_C_ACQUISITION_CONST_BONDS GROUP BY SORTATIONU
publicdata_industrialeconomic_5808
2137번 μΉ΄ν…Œκ³ λ¦¬μ˜ κΈ°μ€€ 연도λ₯Ό μ•Œλ €μ€˜
{'token': '2137', 'start': 0, 'column_index': 3}
SELECT BASE_YEARN FROM SDBC_IMS_AFFILIATE_CATEGORY_UPLOAD_MAPPING WHERE REFERENCE_CATEGORY_NUMP = 2137
publicdata_industrialeconomic_5811
μ²œλ…„μ΄ˆ μ‹μ΄ˆμ˜ κΈ°μ€€ μ—°λ„λŠ” μ–Έμ œμ•Ό
{'token': 'μ²œλ…„μ΄ˆμ‹μ΄ˆ', 'start': 0, 'column_index': 4}
SELECT BASE_YEARY FROM SDBC_IMS_PROD_MATERIALS WHERE PRODUCT_MATERIAL_NMB = 'μ²œλ…„μ΄ˆμ‹μ΄ˆ'
seouldata_climate_2562
점검 사항이 λ°°μΆœμ‹œμ„€ μš΄μ˜μƒνƒœ 점검인 업체 μ‹œμ„€ 이름을 μ•Œλ €μ€˜
{'token': 'λ°°μΆœμ‹œμ„€ μš΄μ˜μƒνƒœ 점검', 'start': 7, 'column_index': 8}
SELECT WRKP_NM FROM GN_LIST_ENV_GUIDE_CHECK WHERE DRT_INSP_ITEM = 'λ°°μΆœμ‹œμ„€ μš΄μ˜μƒνƒœ 점검'
publicdata_industrialeconomic_10701
쒅업원 규λͺ¨κ°€ 100인 미만인 업체가 지원받은 μˆ˜κ°€ 30κ³³ 이상이고 λ³΄μ¦μ„œλ₯Ό λ‹΄λ³΄λ‘œ 지원받은 업체 μˆ˜κ°€ 뢀동산을 λ‹΄λ³΄λ‘œ 지원받은 업체 μˆ˜λ³΄λ‹€ λ§Žμ€ 연도와 쒅업원 규λͺ¨κ°€ 100인 미만인 업체 μ§€μ›μˆ˜λ₯Ό μ•Œλ €μ€˜
{'token': '30', 'start': 29, 'column_index': 12}
SELECT T1.YEAR, T2.LESS_THAN_100 FROM NUM_SU_CO_KOSMES_DEV_TECH_COMMERCIALIZATION_FUND_COLLATERAL AS T1 JOIN NUM_SU_CO_EMPLOYEE_SIZE_KOSMES_DEV_TECH_COMMERCIALIZATION_FUND AS T2 ON T1.YEAR = T2.YEAR WHERE T1.YEAR IN (SELECT YEAR FROM NUM_SU_CO_EMPLOYEE_SIZE_KOSMES_DEV_TECH_COMMERCIALIZATION_FUND WHERE LESS_THAN_100 >= 30) AND T1.LETTER_GUARANTEE > T1.REAL_ESTATE
publicdata_healthcare_11471
μ˜μ‚¬ λ©΄ν—ˆλ₯Ό μ‹ κ·œ λ“±λ‘ν•œ 인원이 3000λͺ… μ΄μƒμ΄κ±°λ‚˜ μ—¬μ„± μ˜μ‚¬ μˆ˜κ°€ 30000λͺ… 이상인 연도λ₯Ό μ•Œλ €μ€˜
{'token': '30000', 'start': 39, 'column_index': 2}, {'token': '3000', 'start': 18, 'column_index': 7}
SELECT T1.YEAR FROM MOHW_LICENSE_MEDICAL_ACCEPTANCE AS T1 JOIN STS_NEW_REG_MOHW_HEALTH_CARE_WORKER AS T2 ON T1.YEAR = T2.YEAR WHERE T1.YEAR IN (SELECT YEAR FROM STS_NEW_REG_MOHW_HEALTH_CARE_WORKER WHERE DOCTOR >= 3000) OR T1.DOCTOR_FEMALE >= 30000
publicdata_industrialeconomic_4811
등둝 λ²ˆν˜Έκ°€ 8둜 λλ‚˜λ©΄μ„œ 발λͺ… λͺ…칭에 μž₯μΉ˜κ°€ λ“€μ–΄κ°€λŠ” κ²ƒμ˜ 등둝일을 λ³΄μ—¬μ€˜
{'token': 'μž₯치', 'start': 22, 'column_index': 2}, {'token': '8', 'start': 7, 'column_index': 3}
SELECT RE_DTB FROM KDN_PATENT_HOLDING_STS WHERE NM_INVENTIONZ LIKE '%μž₯치%' AND RE_NUMA LIKE '%8'
seouldata_culture_2067
μ‹œμ„€ 면적이 200 이상이고 지상측 μˆ˜κ°€ 2 이상인 곳의 사업μž₯ 이름을 μ•Œλ €μ€˜
{'token': '2', 'start': 23, 'column_index': 28}, {'token': '200', 'start': 7, 'column_index': 27}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030505_Y_D WHERE JISGNUMLAY >= 2 AND FACILAR >= 200
publicdata_industrialeconomic_752
μ‹œκ°€ ν‘œμ€€μ•‘μ΄ 20μ–΅ μ΄ν•˜μΈ 곳의 물건지와 μ‹œκ°€ ν‘œμ€€μ•‘μ„ λ³΄μ—¬μ€˜
{'token': '20μ–΅', 'start': 8, 'column_index': 13}
SELECT STANDARD_MARKET_PRICE, IT_OBJECT FROM STANDARD_M_VALUE_GENERAL_BUILDINGS_DAEDEOK_GU_DAEJEON WHERE STANDARD_MARKET_PRICE <= 2000000000
seouldata_culture_3422
μ„œμšΈλ³΄μ¦λ³΄ν—˜μ΄λ‚˜ μ—¬ν–‰κ³΅μ œνšŒμ— κ°€μž…ν•œ μ„œμšΈμ‹œ μ„±λ™κ΅¬μ˜ κ΅­λ‚΄μ—¬ν–‰μ—…μ†ŒλŠ” μ–΄λ””μΌκΉŒ
{'token': 'μ„œμšΈλ³΄μ¦λ³΄ν—˜', 'start': 0, 'column_index': 25}, {'token': 'μ—¬ν–‰κ³΅μ œνšŒ', 'start': 9, 'column_index': 25}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_031201_S_D WHERE INSURORGNM = 'μ„œμšΈλ³΄μ¦λ³΄ν—˜' OR INSURORGNM = 'μ—¬ν–‰κ³΅μ œνšŒ'
seouldata_education_1306
직업 기술 λΆ„μ•Όμ˜ 학원λͺ…을 사전 λ°°μ—΄ 순으둜 λ‚˜μ—΄ν•˜μ—¬ λ„λ‘œλͺ… μ£Όμ†Œμ™€ 같이 μ°Ύμ•„μ€˜
{'token': 'μ§μ—…κΈ°μˆ ', 'start': 0, 'column_index': 9}
SELECT FA_RDNMA, ACA_NM FROM NEIS_ACADEMY_INFO_EP WHERE REALM_SC_NM = 'μ§μ—…κΈ°μˆ ' ORDER BY ACA_NM
seouldata_healthcare_738
κΈˆμ—°κ΅¬μ—­ 이름에 근린곡원이 λ“€μ–΄κ°€κ±°λ‚˜ 면적이 200 이상인 곳의 μœ„λ„μ™€ 경도λ₯Ό λ³΄μ—¬μ€˜
{'token': '200', 'start': 25, 'column_index': 7}, {'token': '근린곡원', 'start': 9, 'column_index': 1}
SELECT LATITUDE, LONGITUDE FROM TB_PRH_SMK_AREA WHERE PRHSMKAR >= 200 OR PRHSMKNM LIKE '%근린곡원%'
seouldata_culture_2011
λ„λ‘œλͺ… μ£Όμ†Œμ— μ—¬μ˜κ°€ ν¬ν•¨λ˜κ³  상세 μ˜μ—… μƒνƒœλͺ…이 폐업인 사업μž₯의 이름을 μ°Ύμ•„μ€˜
{'token': 'μ—¬μ˜', 'start': 8, 'column_index': 13}, {'token': '폐업', 'start': 28, 'column_index': 7}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030901_Y_D WHERE RDNWHLADDR LIKE '%μ—¬μ˜%' AND DTLSTATENM = '폐업'
publicdata_climate_3536
μ‹œμ„€ ꡬ뢄이 산후쑰리원인 곳의 μ‹œμ„€λͺ…κ³Ό μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
{'token': '산후쑰리원', 'start': 7, 'column_index': 1}
SELECT FACILITY_NMP, LOC_MAP_NM_ADDRESSQ FROM STS_MULTI_USE_FAC_S_GGPT_INDOOR_AIR_Q_MNG_ACT WHERE FACILITY_CLASO = '산후쑰리원'
seouldata_culture_973
λŒ€ν‘œ 전화에 330이 λ“€μ–΄κ°„ 곳의 λͺ…μΉ­κ³Ό μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '330', 'start': 7, 'column_index': 8}
SELECT NAME_KOR, ADD_KOR FROM SEBC_PARK_TOUR_KOR WHERE TEL LIKE '%330%'
publicdata_culture_1838
μ’Œμ„μ΄ 164개인 μ˜ν™”κ΄€μ˜ 이름을 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
{'token': '164', 'start': 4, 'column_index': 4}
SELECT DISTINCT MOVIE_THEATER_NAME FROM CURRENT_SITUATION_CINEMA_DAEJEON WHERE NUMBER_SEATS = 164
publicdata_climate_5512
λŒ€κ΅¬ 지역에 μžˆλŠ” μ‚¬μ—…μ†Œμ˜ μ „κΈ° ν™”μž¬ κ±΄μˆ˜μ™€ μ μœ μœ¨μ„ 총 ν™”μž¬ κ±΄μˆ˜κ°€ 적은 μˆœλΆ€ν„° λ‚˜μ—΄ν•΄μ€˜
{'token': 'λŒ€κ΅¬', 'start': 0, 'column_index': 1}
SELECT BUSINESS_ESTABLISHMENTD, ELECTRIC_FIREF, SHARE_SHARESG FROM C_STS_ELECAL_FIRE_B_O_KR_ELECAL_SAFE_C WHERE BUSINESS_ESTABLISHMENTD LIKE '%λŒ€κ΅¬%' ORDER BY GENERAL_FIREE
seouldata_healthcare_1853
성뢁ꡬ에 μžˆλŠ” μ§‘λ‹¨κΈ‰μ‹μ†Œ 쀑 κ³ λŒ€κ²½μ˜κ΄€ν•™μƒμ‹λ‹Ήκ΅μ§μ›μ‹λ‹Ήμ˜ μ „ν™”λ²ˆν˜Έμ™€ μœ„μƒ μ—…νƒœλͺ…은 뭐야
{'token': 'κ³ λŒ€κ²½μ˜κ΄€ν•™μƒμ‹λ‹Ήκ΅μ§μ›μ‹λ‹Ή', 'start': 16, 'column_index': 16}
SELECT SNTUPTAENM, SITETEL FROM L_O_C_A_L_D_A_T_A_072102_S_B WHERE BPLCNM = 'κ³ λŒ€κ²½μ˜κ΄€ν•™μƒμ‹λ‹Ήκ΅μ§μ›μ‹λ‹Ή'
publicdata_climate_4314
λ„λ‘œλͺ… μ£Όμ†Œμ— 백석읍이 λ“€μ–΄κ°€λŠ” μ‹œμ„€μ˜ 연면적은 μ–Όλ§ˆμ•Ό
SELECT GROSS_FLOOR_AREAG FROM C_STS_MULTI_USE_FAC_S_GGYJ_INDOOR_AIR_Q_MNG_ACT WHERE LOC_MAP_NM_ADDRESSE LIKE '%백석읍%'
publicdata_welfare_5179
μ—°μˆ˜κ΅¬μ— μœ„μΉ˜ν•˜λŠ” 검진 κΈ°κ΄€λͺ…을 μ•Œλ €μ€˜
{'token': 'μ—°μˆ˜κ΅¬', 'start': 0, 'column_index': 4}
SELECT N_E_I_T FROM INFO_H_EXAMINATION_INST_CWMA_CONST_WORKERS WHERE ADDRESSG LIKE '%μ—°μˆ˜κ΅¬%'
seouldata_climate_593
평가등급이 3등급인 λΉ„μ˜€ν†± μœ ν˜•μ΄ 뭐야
{'token': '3λ“±κΈ‰', 'start': 6, 'column_index': 17}, {'token': '3λ“±κΈ‰', 'start': 6, 'column_index': 17}
SELECT BIOTOP FROM UPIS_BIOTOP_TYP WHERE RESULPART = '3λ“±κΈ‰'
seouldata_healthcare_1516
μ²˜λΆ„λͺ…에 κ³Όμ§•κΈˆμ΄ λ“€μ–΄κ°„ μ—…μ†Œμ˜ 이름을 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ 쀑볡 없이 μ°Ύμ•„μ€˜
{'token': 'κ³Όμ§•κΈˆ', 'start': 5, 'column_index': 10}
SELECT DISTINCT UPSO_NM FROM NW_ADMIN_MESURE WHERE DISPO_CTN LIKE '%κ³Όμ§•κΈˆ%' ORDER BY UPSO_NM DESC
publicdata_education_6571
νŽ˜μ΄μ§€κ°€ 300νŽ˜μ΄μ§€ μ΄μƒμ΄κ±°λ‚˜ ν”„λ‘œμ νŠΈ μ‹œμž‘ 연도가 2006λ…„ μ•„λ‹ˆλ©΄ 2007년인 연ꡬ λ…Όλ¬Έμ˜ μˆ˜μ • λ‚ μ§œλ₯Ό 쀑볡 없이 μ•Œλ €μ€˜
{'token': '300', 'start': 5, 'column_index': 24}, {'token': '2006', 'start': 30, 'column_index': 25}, {'token': '2007', 'start': 40, 'column_index': 25}
SELECT DISTINCT MODIFIED_DTJ FROM D_I_R_R_O_K_S_S_P_K_S_C_R_I_CV WHERE PROJECTYEAR_BEGINM = 2006 OR PROJECTYEAR_BEGINM = 2007 OR PAGESK >= 300
publicdata_climate_2764
ν•˜μ²œλͺ…이 μž₯μ§„μ²œμ΄κ±°λ‚˜ μ‹œμ μ— μΌμ‚°μ„œκ΅¬κ°€ λ“€μ–΄κ°€λŠ” 곳의 유둜 μ—°μž₯을 λ³΄μ—¬μ€˜
{'token': 'μž₯μ§„μ²œ', 'start': 5, 'column_index': 2}, {'token': 'μΌμ‚°μ„œκ΅¬', 'start': 16, 'column_index': 3}
SELECT EURO_EXTZ FROM C_STS_GGGY WHERE RIVER_NMW = 'μž₯μ§„μ²œ' OR POINTX LIKE '%μΌμ‚°μ„œκ΅¬%'
seouldata_industrialeconomic_3227
μ˜μ—… μƒνƒœλͺ…이 폐업인 사업μž₯의 이름을 μ§€λ²ˆ μ£Όμ†Œμ˜ κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': '폐업', 'start': 8, 'column_index': 6}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_082602_Y_D WHERE TRDSTATENM = '폐업' ORDER BY SITEWHLADDR
seouldata_culture_3458
1998년에 νμ—…λœ 당ꡬμž₯의 μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT SITEWHLADDR FROM L_O_C_A_L_D_A_T_A_103201_G_D WHERE DCBYMD LIKE '1998%'
publicdata_industrialeconomic_1370
λΆ€κ³Ό κ±΄μˆ˜κ°€ 10000건 이상인 μ„ΈκΈˆμ˜ 세원 μœ ν˜•λͺ…을 μ•Œλ €μ€˜
{'token': '10000', 'start': 7, 'column_index': 6}
SELECT SEWON_TYPE_NAME FROM TAX_STS_TYPE_TAX_SOURCE_SUWON_GYEONGGI WHERE DISPLACEMENT >= 10000
publicdata_climate_5455
μ €μž₯μ‘° μš©λŸ‰μ΄ 1600인 μ‹œμ„€ 및 μ˜μ—…μž₯의 μ‹œλ„λͺ…κ³Ό μ‹œκ΅°κ΅¬λͺ…을 λ‚˜νƒ€λ‚΄μ€˜
{'token': '1600', 'start': 8, 'column_index': 8}
SELECT FACILITY_SALES_ADDRESS1V, FACILITY_SALES_ADDRESS2W FROM PERMIT_INFO_KECO_LS_MNG_E_MNG_SYS_CO WHERE STORAGE_TANK_CPZ = '1600'
seouldata_culture_665
μž‘ν’ˆ μœ ν˜•μ΄ 기념비인 미래의 μ•½μ†μ˜ μž‘ν’ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '기념비', 'start': 7, 'column_index': 7}, {'token': '미래의 약속', 'start': 12, 'column_index': 1}
SELECT GA_ADDR1 FROM GONG_GONG_ART_ETC WHERE CODE_A1 = '기념비' AND GA_KNAME = '미래의 약속'
seouldata_welfare_1348
λ³΄μœ‘μ‹€ 면적이 200 이상인 어린이집λͺ…을 μ•Œλ €μ€˜
{'token': '200', 'start': 8, 'column_index': 10}
SELECT CRNAME FROM CHILD_CARE_INFO_S_M WHERE NRTRROOMSIZE >= 200
seouldata_culture_3330
μ•ŒνŒŒκ°„νŒ μ „κ΄‘νŒ μ–΄λ‹μ˜ λ„λ‘œλͺ… μ£Όμ†ŒλŠ” 뭐야
{'token': 'μ•ŒνŒŒκ°„νŒ μ „κ΄‘νŒ 어닝', 'start': 0, 'column_index': 15}
SELECT RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_041501_J_N WHERE BPLCNM = 'μ•ŒνŒŒκ°„νŒ μ „κ΄‘νŒ 어닝'