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seouldata_industrialeconomic_1422
μ§€λ²ˆ μ£Όμ†Œμ— λˆμ•”λ™μ΄ λ“€μ–΄κ°€κ³  2005년에 μΈν—ˆκ°€λ₯Ό 받은 사업μž₯의 이름을 μ•Œλ €μ€˜
{'token': '2005', 'start': 17, 'column_index': 3}, {'token': 'λˆμ•”λ™', 'start': 7, 'column_index': 13}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_114302_S_B WHERE APVPERMYMD LIKE '2005%' AND SITEWHLADDR LIKE '%λˆμ•”λ™%'
publicdata_publicadministration_2621
2022년에 계약이 μ’…λ£Œλ˜κ±°λ‚˜ 계약 κΈˆμ•‘μ΄ 13530000원 이상인 μ—…μ²΄μ˜ 이름을 μ•Œλ €μ€˜
{'token': '13530000', 'start': 24, 'column_index': 2}, {'token': '2022', 'start': 0, 'column_index': 4}
SELECT COMPANY_NMZ FROM INNOPOLIS_CONTRACT_INFO WHERE CONTRACT_AMTW >= 13530000 OR CONTRACT_SC_END_DTY LIKE '2022%'
seouldata_healthcare_3565
μ˜μ—… μƒνƒœλͺ…이 폐업인 사업μž₯의 이름을 μ•Œλ €μ€˜
{'token': '폐업', 'start': 8, 'column_index': 5}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072208_S_C WHERE TRDSTATENM = '폐업'
seouldata_healthcare_2642
μ—…νƒœκ°€ μ—¬κ΄€μ—…μ΄κ±°λ‚˜ 2022년에 μ²˜λΆ„μ„ 받은 곳의 지도점검 μΌμžμ™€ μ²˜λΆ„λͺ…은 뭐야
{'token': '2022', 'start': 11, 'column_index': 2}, {'token': 'μ—¬κ΄€μ—…', 'start': 4, 'column_index': 5}
SELECT DRT_INSP_YMD, DISPO_CTN FROM EP_ADMIN_MESURE_PUBLIC WHERE ADM_DISPO_YMD LIKE '2022%' OR SNT_UPTAE_NM = 'μ—¬κ΄€μ—…'
publicdata_climate_5366
RTNA둜 μ‹œμž‘ν•˜λŠ” 보증 번호λ₯Ό 보증 해지 κΈ°ν‘œ μΌμžμ™€ 같이 μ°Ύμ•„μ€˜
SELECT W_I_D_O_T_D_G, WARRANTY_NUMH FROM HF_GUARANTEE_PAYMENT_AMBASSADOR WHERE WARRANTY_NUMH LIKE 'RTNA%'
seouldata_healthcare_3985
μ§€λ²ˆ μ£Όμ†Œμ— κ΅¬λ‘œλ™μ΄ λ“€μ–΄κ°€λŠ” 사업μž₯의 이름을 λ³΄μ—¬μ€˜
{'token': 'κ΅¬λ‘œλ™', 'start': 7, 'column_index': 12}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_051801_G_R WHERE SITEWHLADDR LIKE '%κ΅¬λ‘œλ™%'
publicdata_climate_698
2020λ…„ 1μ›”μ˜ μ‚¬μš© κ±΄μˆ˜κ°€ 5000건 이상인 행정동λͺ…을 μ•Œλ €μ€˜
{'token': '2020', 'start': 0, 'column_index': 1}, {'token': '1', 'start': 6, 'column_index': 2}, {'token': '5000', 'start': 17, 'column_index': 4}
SELECT ADMINISTRATIVE_NAME FROM CURRENT_STS_WATER_SPL_USAGE_GIMHAE_GYEONGNAM WHERE YEAR = 2020 AND MONTH = 01 AND NUMBER_OF_CASES >= 5000
publicdata_industrialeconomic_4551
μ „λ ₯ κ±°λž˜λŸ‰μ΄ 107μ΄κ±°λ‚˜ 117 μ•„λ‹ˆλ©΄ 121인 λ°μ΄ν„°μ˜ 거래일과 거래 μ‹œκ°„μ„ μ•Œλ €μ€˜
{'token': '121', 'start': 23, 'column_index': 3}, {'token': '107', 'start': 8, 'column_index': 3}, {'token': '117', 'start': 15, 'column_index': 3}
SELECT TRADING_DAYN, TRADING_HOURSO FROM KPX_ELECITY_TRANSACTION_VOLUME_DAYTIME_GWANGJU WHERE E_T_V_VA = '107' OR E_T_V_VA = '117' OR E_T_V_VA = '121'
publicdata_climate_11854
μ˜λ¬΄μ΄ν–‰λŸ‰μ΄ 100000만 이상이고 λ°°μΆœν—ˆμš©λŸ‰μ΄ 200000 이상인 경우 연도와 μ§μ ‘λ°°μΆœ μ˜¨μ‹€κ°€μŠ€μ™€ κ°„μ ‘λ°°μΆœ μ˜¨μ‹€κ°€μŠ€ 양이 μ–Όλ§ˆμ•Ό
{'token': '20000', 'start': 27, 'column_index': 9}, {'token': '10000', 'start': 7, 'column_index': 11}
SELECT T1.YEAR, T1.DI_TC02, T1.IN_TC02 FROM KWATER_GREENHOUSE_GAS_EMISSION_ENERGY_USE AS T1 JOIN KWATER_GREENHOUSE_GAS_EMISSIONS_IMPLEMENTATION_RATE AS T2 ON T1.YEAR = T2.YEAR WHERE T2.O_TC02 >= 10000 AND T2.EA_TC02 >= 20000
seouldata_culture_3414
μ†Œμž¬μ§€ μš°νŽΈλ²ˆν˜Έκ°€ 5둜 λλ‚˜λŠ” 사업μž₯λͺ…을 μ•Œλ €μ€˜
{'token': '5', 'start': 10, 'column_index': 13}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_103201_N_W WHERE SITEPOSTNO LIKE '%5'
seouldata_healthcare_1639
GS25 μ„±μˆ˜ν¬λ ˆμ μ˜ μ „ν™”λ²ˆν˜ΈλŠ” 뭐야
{'token': 'GS25 μ„±μˆ˜ν¬λ ˆμ ', 'start': 0, 'column_index': 13}
SELECT SITETEL FROM L_O_C_A_L_D_A_T_A_010105_S_D WHERE BPLCNM = 'GS25 μ„±μˆ˜ν¬λ ˆμ '
publicdata_climate_5940
μ½”λ“œκ°€ 1001620인 μˆ˜μœ„ κ΄€μΈ‘μ†Œμ˜ ν™μˆ˜ 예보 적용 μ’…λ£Œ 일자λ₯Ό 쀑볡 없이 μ•Œλ €μ€˜
{'token': '1001620', 'start': 4, 'column_index': 1}
SELECT DISTINCT APPLICATION_END_DTD FROM TRANSLATION_T_F_FORECAST_W_L_FLOW_CURVE_ME_HAN_R_F_C_STATION WHERE W_L_O_S_C_VA = '1001620'
seouldata_welfare_1535
이름이 λ³΄λžŒμ˜μ§‘μΈ 곳의 μ‹œμ„€ μ’…λ₯˜ 상세λͺ…은 뭐야
{'token': 'λ³΄λžŒμ˜μ§‘', 'start': 4, 'column_index': 1}
SELECT FCLT_KIND_DTL_NM FROM FCLT_OPEN_INFO_Y_C WHERE FCLT_NM = 'λ³΄λžŒμ˜μ§‘'
publicdata_healthcare_1691
νƒœν‰λ™μ— μžˆλŠ” 사업μž₯의 μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': 'νƒœν‰λ™', 'start': 0, 'column_index': 2}
SELECT MATERIAL_MAP_NAME_ADDRESS FROM STS_ANIMAL_PHARMACY_SEONGNAM_CITY_GYEONGGI_PROVINCE WHERE DYNAMIC = 'νƒœν‰λ™'
seouldata_industrialeconomic_3096
상세 μ˜μ—… μƒνƒœλͺ…이 폐업 처리인 사업μž₯의 μ†Œμž¬μ§€ 우편번호λ₯Ό λ³΄μ—¬μ€˜
{'token': 'νμ—…μ²˜λ¦¬', 'start': 11, 'column_index': 7}
SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_082603_D_B WHERE DTLSTATENM = 'νμ—…μ²˜λ¦¬'
publicdata_industrialeconomic_4124
λ‚©λΆ€ μ—°λ„λ³„λ‘œ λ‚©λΆ€ κΈˆμ•‘μ˜ 합을 λ‚©λΆ€ 연도와 같이 λ³΄μ—¬μ€˜
SELECT PAY_YEARK, SUM(PAY_AMTP) FROM GB_GW_LOCAL_TAX_PAYMENT_STS GROUP BY PAY_YEARK
publicdata_publicadministration_5099
μ„œμšΈμ— ν•΄λ‹Ήν•˜λŠ” μ§€μ—­μ—μ„œ 2021λ…„ 5μ›”μ˜ μ›”μ„Έ 가격 μ§€μˆ˜λ₯Ό 높은 μˆœμ„œλŒ€λ‘œ λ‚˜μ—΄ν•΄μ€˜
{'token': 'μ„œμšΈ', 'start': 0, 'column_index': 1}
SELECT Y_2021_05H FROM R_N_H_P_T_S_M_T_C_H_T_M_P_I_R_C WHERE AREAN LIKE '%μ„œμšΈ%' ORDER BY Y_2021_05H DESC
seouldata_healthcare_3517
μ‹œμ„€ 면적이 100을 λ„˜κ³  μ΅œμ’… μˆ˜μ • μΌμžκ°€ 2008년도인 사업μž₯의 이름은 뭐야
{'token': '100', 'start': 7, 'column_index': 28}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072101_G_J WHERE FACILTOTSCP > '100' AND LASTMODTS LIKE '2008%'
seouldata_climate_4649
사업μž₯λͺ…에 μƒνšŒκ°€ ν¬ν•¨λ˜λŠ” 곳의 μΈν—ˆκ°€ 일자λ₯Ό μ•Œλ €μ€˜
SELECT APVPERMYMD FROM L_O_C_A_L_D_A_T_A_093013_E_P WHERE BPLCNM LIKE '%μƒνšŒ%'
publicdata_industrialeconomic_4954
관계법에 건섀이 λ“€μ–΄κ°€κ±°λ‚˜ 건좕법인 관계법에 λŒ€ν•œ μΈν—ˆκ°€ μ •λ³΄μ˜ μ‹ κ³  사항을 λ³΄μ—¬μ€˜
{'token': '건섀', 'start': 5, 'column_index': 2}, {'token': '건좕법', 'start': 15, 'column_index': 2}
SELECT M_B_R_P_J FROM IWEST_COMBINED_PW_PLANT_CONST_AUTHORIZATION_INFO WHERE RELEVANT_LAWJ LIKE '%건섀%' OR RELEVANT_LAWJ = '건좕법'
publicdata_education_5158
μ—°λ²ˆμ΄ 100 μ΄ν•˜κ±°λ‚˜ 2600 이상인 κ³Όλͺ©μ˜ 이름과 등둝일을 λ³΄μ—¬μ€˜
{'token': '100', 'start': 4, 'column_index': 1}, {'token': '2600', 'start': 13, 'column_index': 1}
SELECT SJ_NMX, RE_DTY FROM HRDK_COUNTRY_Q_CBT_SS WHERE SERIAL_NUMW <= 100 OR SERIAL_NUMW >= 2600
publicdata_education_6574
νŒν˜•μ— μ–‘μž₯이 ν¬ν•¨λ˜κ±°λ‚˜ μͺ½μˆ˜κ°€ 100μͺ½ μ΄ν•˜μΈ λ„μ„œμ˜ λ°œκ°„ 연도λ₯Ό μ•Œλ €μ€˜
{'token': 'μ–‘μž₯', 'start': 4, 'column_index': 5}, {'token': '100', 'start': 18, 'column_index': 6}
SELECT YEAR_PUBLICATIOND FROM MDATA_LIST_BOOKS_PUBLISHED_KR_RESEARCH_I WHERE PLATE_SHAPEE LIKE '%μ–‘μž₯%' OR NUM_PAGESF <= 100
publicdata_climate_3423
λΆˆνŠΉμ • λ‹€μˆ˜κ°€ μ΄μš©ν•˜κ±°λ‚˜ 석면 건좕물인 건물의 μ£Όμ†Œλ₯Ό κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
{'token': 'λΆˆνŠΉμ • λ‹€μˆ˜', 'start': 0, 'column_index': 2}
SELECT ADDRESSE FROM GGHN_BUILDING_ASBESTOS_INVESTIGATION_TARGETS WHERE SORTATIONB = 'λΆˆνŠΉμ •λ‹€μˆ˜μ΄μš©' OR ASBESTOS_BUILDING_STAF = 'ν•΄λ‹Ή' ORDER BY ADDRESSE
seouldata_climate_1139
μ†Œν™” 용수 λ²ˆν˜Έκ°€ 2111인 곳의 μƒˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '2111', 'start': 10, 'column_index': 3}
SELECT NEWADDR FROM SDE_HYDRANTGT_W WHERE HYDNUM = '2111'
seouldata_climate_917
λͺ…칭이 μ² μ‚°κ΅μ•žμ΄κ±°λ‚˜ λ‹€λ¦¬λ‘œ λλ‚˜λŠ” λ‘λ“œλ¦ΌκΈΈ 및 μ§€μ²œκΈΈμ˜ Xμ’Œν‘œμ™€ Yμ’Œν‘œλ₯Ό μ•Œλ €μ€˜
{'token': 'μ² μ‚°κ΅μ•ž', 'start': 4, 'column_index': 2}, {'token': '닀리', 'start': 12, 'column_index': 2}
SELECT X, Y FROM SDE_DO_DREAM_WAY04_P WHERE NAME = 'μ² μ‚°κ΅μ•ž' OR NAME LIKE '%닀리'
seouldata_transportation_5238
κ³ μ •ν˜• CCTV μ§€λ²ˆμ£Όμ†Œμ— 325κ°€ λ“€μ–΄κ°„ 곳의 단속 지점λͺ…을 μ•Œλ €μ€˜
{'token': '325', 'start': 15, 'column_index': 1}
SELECT REGLT_SPOT_NM FROM TB_OPENDATA_FIXEDCCTV_Y_C WHERE ADRES LIKE '%325%'
seouldata_climate_3143
μ„œμ΄ˆκ²½μ°°μ„œμ˜ μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': 'μ„œμ΄ˆκ²½μ°°μ„œ', 'start': 0, 'column_index': 16}
SELECT SITEWHLADDR FROM L_O_C_A_L_D_A_T_A_093008_S_C WHERE BPLCNM = 'μ„œμ΄ˆκ²½μ°°μ„œ'
publicdata_welfare_11451
μ‹œκ΅°κ΅¬λͺ…이 μ€‘μœΌλ‘œ μ‹œμž‘ν•˜λŠ” μ—…μ†Œμ˜ 이름을 μ°Ύμ•„μ€˜
{'token': '쀑', 'start': 6, 'column_index': 9}
SELECT T1.BUSINESS_NAME FROM STS_GENERAL_RESTAURANTS_JUNG_GU_INCHEON AS T1 JOIN INCHEON_CHILDREN_MEAL_CARD_MERCHANT AS T2 ON T1.BUSINESS_NAME = T2.FRANCHISE WHERE T2.CITIES_AND_COUNTIES IN (SELECT CITIES_AND_COUNTIES FROM INCHEON_CHILDREN_MEAL_CARD_MERCHANT WHERE CITIES_AND_COUNTIES LIKE '쀑%')
seouldata_education_4434
μŠΉκ°•κΈ°λ³΄ν—˜μ„ κ°€μž…ν•œ μœ μΉ˜μ› 이름을 μ°Ύμ•„μ€˜
{'token': 'μŠΉκ°•κΈ°λ³΄ν—˜', 'start': 0, 'column_index': 5}
SELECT KINDERNAME FROM CHILD_SCHOOL_INSURANCE_SC WHERE INSURANCE_NM = 'μŠΉκ°•κΈ°λ³΄ν—˜'
seouldata_transportation_5238
κ³ μ •ν˜• CCTV μ§€λ²ˆμ£Όμ†Œκ°€ 1둜 λλ‚˜λŠ” 곳의 단속 지점λͺ…이 뭐야
{'token': '1', 'start': 15, 'column_index': 1}
SELECT REGLT_SPOT_NM FROM TB_OPENDATA_FIXEDCCTV_Y_C WHERE ADRES LIKE '%1'
publicdata_welfare_1331
이름이 λ‹Ήν¬λ‘œ μ‹œμž‘ν•˜λŠ” λ§ˆμ„νšŒκ΄€μ˜ μ „ν™”λ²ˆν˜Έκ°€ 뭐야
SELECT PHONE_NUMBER FROM CURRENT_STS_VILLAGE_HALL_MUNGYEONG_GYEONGBUK WHERE VILLAGE LIKE '당포%'
seouldata_healthcare_1603
폐업 μΌμžκ°€ 2012λ…„μ—μ„œ 2015λ…„ 사이에 μžˆλŠ” 사업μž₯ 이름을 μ°Ύμ•„μ€˜
{'token': '2012', 'start': 7, 'column_index': 6}, {'token': '2015', 'start': 15, 'column_index': 6}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072211_G_C WHERE DCBYMD >= 20120101000000 AND DCBYMD <= 20151231000000
seouldata_climate_865
자치ꡬ인 μš©μ‚°κ΅¬ λ˜λŠ” μ„±λΆκ΅¬μ˜ 일 평균 λ°œμƒλŸ‰μ„ μ•Œλ €μ€˜
{'token': 'μš©μ‚°κ΅¬', 'start': 5, 'column_index': 1}, {'token': '성뢁ꡬ', 'start': 12, 'column_index': 1}
SELECT OUT_QUA_DAY FROM V_TS_OUTFLOW_HYDR_GNRL WHERE CGG_NM = 'μš©μ‚°κ΅¬' OR CGG_NM = '성뢁ꡬ'
seouldata_healthcare_3530
λ“±κΈ‰ ꡬ뢄λͺ…이 관리인 사업μž₯의 μ†Œμž¬μ§€ 면적 총합을 λ³΄μ—¬μ€˜
{'token': '관리', 'start': 8, 'column_index': 28}
SELECT SUM(SITEAREA) FROM L_O_C_A_L_D_A_T_A_072208_D_J WHERE LVSENM = '관리'
seouldata_culture_4475
건물 μš©λ„κ°€ 사무싀인 곳의 μžλ³ΈκΈˆμ€ μ–Όλ§ˆμ•Ό
{'token': '사무싀', 'start': 7, 'column_index': 24}
SELECT CAPT FROM L_O_C_A_L_D_A_T_A_030801_S_P WHERE BDNGSRVNM = '사무싀'
publicdata_publicadministration_5009
2018λ…„ 1μ›” 15일과 2014λ…„ 9μ›” 29일의 μ•„νŒŒνŠΈ μ „μ„Έ 가격 μ§€μˆ˜λ₯Ό λ³΄μ—¬μ€˜
SELECT D_2018_01_15T, D_2014_09_29E FROM R_N_H_P_T_S_W_A_T_J_P_I_N
publicdata_industrialeconomic_5477
이름에 ν•˜λ‚˜κ°€ 듀어가지 μ•ŠλŠ” 은행과 μ‹ μ²­ μ›” 및 λŒ€μΆœ μ˜ˆμ • κΈˆμ•‘μ„ μ‹ μ²­ 월이 μ΅œμ‹ μΈ 순으둜 μ•Œλ €μ€˜
{'token': 'ν•˜λ‚˜', 'start': 4, 'column_index': 2}
SELECT APPLICANT_BANKE, APPLICATION_MONTHD, EXPECTED_LOAN_AMTF FROM APP_STS_KR_ASSET_MNG_C_N_HAPPINESS_FUND_CHANGE_DREAM_LOAN WHERE APPLICANT_BANKE NOT LIKE '%ν•˜λ‚˜%' ORDER BY APPLICATION_MONTHD DESC
seouldata_healthcare_4133
μΈν—ˆκ°€ μΌμžκ°€ 1984년인 μ—…μ²΄μ˜ μ†Œμž¬μ§€ μš°νŽΈλ²ˆν˜Έκ°€ 뭐야
{'token': '1984', 'start': 8, 'column_index': 3}
SELECT SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_072218_D_B WHERE APVPERMYMD LIKE '1984%'
seouldata_climate_1032
ν˜Έκ²½λΉŒλ”©μ˜ Xμ’Œν‘œλ₯Ό μ•Œλ €μ€˜
{'token': 'ν˜Έκ²½λΉŒλ”©', 'start': 0, 'column_index': 8}
SELECT X FROM GEO_INFO_ROOF_BUSINESS WHERE BULD_NM = 'ν˜Έκ²½λΉŒλ”©'
publicdata_industrialeconomic_3189
이름이 μ°¨μ„ΈλŒ€ 쇄빙 연ꡬ선 건쑰인 μ‚¬μ—…μ˜ μ£Όκ΄€ 연ꡬ 기관을 λ³΄μ—¬μ€˜
{'token': 'μ°¨μ„ΈλŒ€ 쇄빙 연ꡬ선 건쑰', 'start': 4, 'column_index': 4}
SELECT R_I_C_I FROM KIMST_INFO_RND_ASSIGNMENTS_MARINE_FISHERIES_SECTOR WHERE BUSINESS_NMC = 'μ°¨μ„ΈλŒ€ 쇄빙연ꡬ선 건쑰'
seouldata_education_4552
λ„λ‘œλͺ… μ£Όμ†Œμ— λ™λ‚¨λ‘œκ°€ λ“€μ–΄κ°€λŠ” 곡립 ν•™κ΅μ˜ 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ•Œλ €μ€˜
{'token': '곡립', 'start': 18, 'column_index': 8}, {'token': 'λ™λ‚¨λ‘œ', 'start': 8, 'column_index': 9}
SELECT SCHUL_NM FROM NEIS_SCHOOL_INFO_SP WHERE FOND_SC_NM = '곡립' AND ORG_RDNMA LIKE '%λ™λ‚¨λ‘œ%' ORDER BY SCHUL_NM
publicdata_healthcare_12141
μ—…νƒœλͺ…이 ν•œμ‹μ΄κ±°λ‚˜ μ£Όμ†Œμ— κ²½μ£Όμ‹œκ°€ λ“€μ–΄κ°€λŠ” κ°€λ§Ήμ μ˜ 이름과 μ—…μ†Œμ˜ 이름을 μ•Œλ €μ€˜
{'token': 'κ²½μ£Όμ‹œ', 'start': 15, 'column_index': 2}
SELECT T1.FRANCHISE, T2.BUSINESS_NAME FROM NORTH_GYEONGSANG_PROVINCE_CHILDREN_MEAL_CARD_MERCHANT AS T1 JOIN CURRENT_STS_RESTAURANTS_GYEONGSAN_GYEONGBUK AS T2 ON T1.FRANCHISE = T2.BUSINESS_NAME WHERE T1.FRANCHISE IN (SELECT BUSINESS_NAME FROM CURRENT_STS_RESTAURANTS_GYEONGSAN_GYEONGBUK WHERE NAME = 'ν•œμ‹') OR T1.MERCHANT_ADDRESS LIKE '%κ²½μ£Όμ‹œ%'
seouldata_climate_35
2022년에 μž‘μ—…ν•œ 곳의 μƒν˜Έλͺ…을 μ•Œλ €μ€˜
{'token': '2022', 'start': 0, 'column_index': 23}
SELECT OFFCNM FROM BIG_JTY_RELP WHERE WORK_DAY LIKE '2022%'
publicdata_industrialeconomic_10694
μ‹ μš© 담보 업체 μˆ˜κ°€ 평균보닀 λ§Žμ€ 연도λ₯Ό 5μ–΅ 미만 업체 μˆ˜κ°€ λ§Žμ€ 순으둜 μ •λ ¬ν•΄μ€˜
SELECT T1.YEAR FROM NUM_SU_CO_KOSMES_DEV_TECH_COMMERCIALIZATION_FUND_COLLATERAL AS T1 JOIN NUM_SU_CO_S_SIZE_KOSMES_DEV_TECH_COMMERCIALIZATION_FUND AS T2 ON T1.YEAR = T2.YEAR WHERE T1.CREDIT > (SELECT AVG(CREDIT) FROM NUM_SU_CO_KOSMES_DEV_TECH_COMMERCIALIZATION_FUND_COLLATERAL) ORDER BY T2.LESS_THAN_5 DESC
seouldata_healthcare_2122
ν˜„λŒ€μ˜λ£ŒκΈ°μ˜ Y μ’Œν‘œ 정보 λ³΄μ—¬μ€˜
{'token': 'ν˜„λŒ€μ˜λ£ŒκΈ°', 'start': 0, 'column_index': 17}
SELECT Y FROM L_O_C_A_L_D_A_T_A_010203_J_N WHERE BPLCNM = 'ν˜„λŒ€μ˜λ£ŒκΈ°'
publicdata_industrialeconomic_4879
지역인 λŒ€μ „μΈ μ—…μ²΄μ˜ 이름을 λ³΄μ—¬μ€˜
{'token': 'λŒ€μ „', 'start': 4, 'column_index': 8}
SELECT COMPANY_NMZ FROM FOWI_FOREST_WELFARE_B_REG_STS WHERE AREAF = 'λŒ€μ „'
publicdata_education_5086
μ£Όμ†Œμ— μ‹ ν₯이 λ“€μ–΄κ°€λŠ” ν•™μ›μ˜ 이름은 뭐야
{'token': 'μ‹ ν₯', 'start': 4, 'column_index': 4}
SELECT NM_ACADEMYI FROM GBE_GB_MGES_MUNGYEONG_EDU_SU_O_ACADEMY_STS WHERE ACADEMY_ADDRESSL LIKE '%μ‹ ν₯%'
publicdata_climate_5965
μž₯μ†Œ κ΅¬λΆ„λ³„λ‘œ 사망 사고 λ°œμƒ ꡬ역인 곳의 μ£Όμ†Œ μˆ˜μ™€ μž₯μ†Œ ꡬ뢄을 λ³΄μ—¬μ€˜
{'token': '사망사고 λ°œμƒκ΅¬μ—­', 'start': 8, 'column_index': 7}
SELECT PLACE_CLASL, COUNT(ADDRESSN) FROM KCG_COASTAL_HAZARDOUS_ZONE_MNG_DATA WHERE RISK_RATINGK = '사망사고 λ°œμƒκ΅¬μ—­' GROUP BY PLACE_CLASL
seouldata_healthcare_366
자치ꡬ 이름이 관악ꡬ μ΄κ±°λ‚˜ 성뢁ꡬ인 λ³‘μ˜μ›μ˜ 이름을 μ•Œλ €μ€˜
{'token': '관악ꡬ', 'start': 8, 'column_index': 9}, {'token': '성뢁ꡬ', 'start': 16, 'column_index': 9}
SELECT NAME FROM POINT_HOSPITAL_LIST WHERE LOC_NAME = '관악ꡬ' OR LOC_NAME = '성뢁ꡬ'
publicdata_healthcare_1383
이름에 세븐과 역이 λ“€μ–΄κ°€λŠ” 판맀 점포의 μ†Œμž¬μ§€ μ§€λ²ˆ μ£Όμ†Œμ™€ μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
{'token': '세븐', 'start': 4, 'column_index': 1}, {'token': 'μ—­', 'start': 8, 'column_index': 1}
SELECT MATERIAL_SUPPORT_ADDRESS, MATERIAL_MAP_NAME_ADDRESS FROM ANSAN_SI_GYEONGGI_S_OFFICE_SAFETY_MEDICAL_PROD WHERE SALES_STORE_NAME LIKE '%세븐%' AND SALES_STORE_NAME LIKE '%μ—­%'
publicdata_climate_5716
μ—°μ•ˆ λͺ…칭이 μ„œκ·€ν¬ μ—°μ•ˆμ΄κ±°λ‚˜ μ—¬μˆ˜λ‘œ μ‹œμž‘ν•˜λŠ” 곳의 ν‘œμΈ΅ 및 μ €μΈ΅ 염뢄을 μ•Œλ €μ€˜
{'token': 'μ—¬μˆ˜', 'start': 17, 'column_index': 3}, {'token': 'μ„œκ·€ν¬μ—°μ•ˆ', 'start': 7, 'column_index': 3}
SELECT SALT_BOTTOM_LAYERS, SALINITY_SURFACE_LAYERR FROM STS_AVG_SEAW_Q_INFO_PEAK_MARINE_E_MET_N_KR_MARINE_E_C WHERE COASTAL_NMO LIKE 'μ—¬μˆ˜%' OR COASTAL_NMO = 'μ„œκ·€ν¬μ—°μ•ˆ'
publicdata_climate_4353
μ£Όμ†Œμ— 청솑읍이 λ“€μ–΄κ°€λŠ” κ±΄μΆ•λ¬Όμ˜ 연면적을 λ³΄μ—¬μ€˜
{'token': '청솑읍', 'start': 4, 'column_index': 4}
SELECT GROSS_FLOOR_AREAZ FROM C_STS_BUILDINGS_S_ASBESTOS_INVESTIGATION_CHEONGSONG_GUN_GB WHERE ADDRESSY LIKE '%청솑읍%'
seouldata_culture_1759
μ§€λ²ˆ μ£Όμ†Œμ— μΆ©λ¬΄λ‘œκ°€ λ“€μ–΄κ°€λŠ” 사업μž₯의 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ•Œλ €μ€˜
{'token': '좩무둜', 'start': 7, 'column_index': 12}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_104201_J_G WHERE SITEWHLADDR LIKE '%좩무둜%' ORDER BY BPLCNM
publicdata_climate_5861
ν‘œμžλ£Œλͺ…에 수질이 λ“€μ–΄κ°€κ³  μ‘°νšŒμˆ˜κ°€ 65회 이상인 자료λͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
{'token': '65', 'start': 20, 'column_index': 2}, {'token': '수질', 'start': 6, 'column_index': 3}
SELECT TABLE_DATA_NMZ FROM C_STS_CUMULATIVE_VIEWS_ME_ENV_STS_T WHERE NUM_VIEWSY >= 65 AND TABLE_DATA_NMZ LIKE '%수질%' ORDER BY TABLE_DATA_NMZ
publicdata_publicadministration_3936
단어 μœ ν˜•μ΄ μˆ˜μ‹μ–΄μΈ λ‹¨μ–΄μ˜ 이름을 μ°Ύμ•„μ€˜
{'token': 'μˆ˜μ‹μ–΄', 'start': 7, 'column_index': 4}
SELECT WORD_NMX FROM KOGAS_TECH_HOMEPAGE_SYS_STANDARD_WORD_DICTIONARY WHERE WORD_TYPEA = 'μˆ˜μ‹μ–΄'
seouldata_transportation_844
μš©μ‚°μ „μŸκΈ°λ…κ΄€μ˜ 곡곡 μžμ „κ±° λŒ€μ—¬ 건수λ₯Ό λ³΄μ—¬μ€˜
{'token': 'μš©μ‚°μ „μŸκΈ°λ…κ΄€', 'start': 0, 'column_index': 3}
SELECT RENT_CNT FROM CYCLE_FOREIGNER_RENT_MONTH_INFO WHERE RENT_NM = 'μš©μ‚°μ „μŸκΈ°λ…κ΄€'
seouldata_culture_5051
2010λ…„ 이후에 μΈν—ˆκ°€λ₯Ό λ°›κ³  상세 μ˜μ—… μƒνƒœκ°€ 폐업인 μ„œμšΈμ‹œ 강남ꡬ μ˜ν™” μƒμ˜μž₯의 μ§€λ²ˆμ£Όμ†Œμ™€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '폐업', 'start': 28, 'column_index': 7}, {'token': '2010', 'start': 0, 'column_index': 3}
SELECT SITEWHLADDR, RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_031303_G_N WHERE DTLSTATENM = '폐업' AND APVPERMYMD > 20100000000000
publicdata_culture_1648
어린이가 κ°•μŠ΅ κ°€λŠ₯ν•œ κ°•μ’Œλͺ…을 μ•Œλ €μ€˜
{'token': '어린이', 'start': 0, 'column_index': 11}
SELECT LECTURER FROM KSPONCO_OLYMPIC_SWIMMING_POOL_CUR_INFO WHERE CLASS = '어린이'
publicdata_education_4660
λŒ€ν•™ μ½”λ“œμ— μ²­μ£Όκ°€ ν¬ν•¨λ˜κ±°λ‚˜ λ°°μ • ꡬ뢄 μ½”λ“œκ°€ μΆ”κ°€ 배정인 곳의 졜초 등둝 μΌμ‹œλ₯Ό μ•Œλ €μ€˜
{'token': 'μ²­μ£Ό', 'start': 7, 'column_index': 5}, {'token': 'μΆ”κ°€ λ°°μ •', 'start': 27, 'column_index': 3}
SELECT DT_TIME_INITIAL_RES FROM BASIC_HISTORY_UNIVERSITIES_ASSIGNED_KOSAF_YOUTH_EDU_MNG WHERE UNIVERSITY_CDP LIKE '%μ²­μ£Ό%' OR ASSIGNMENT_CLAS_CDN = 'μΆ”κ°€λ°°μ •'
publicdata_publicadministration_5952
ꡐ과λͺ© κ°œμš”μ— 기둝 관리가 λ“€μ–΄κ°€λŠ” 집합 ꡐ윑의 μ‹œμž‘μΌκ³Ό μ’…λ£ŒμΌμ€ μ–Έμ œμΈμ§€ 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
{'token': '기둝관리', 'start': 8, 'column_index': 7}
SELECT DISTINCT TRAINING_START_DTE, TRAINING_END_DTF FROM MOIS_N_ARCHIVES_RECORDS_MNG_COLLECTIVE_EDU_O_INFO WHERE SJ_OVERVIEWB LIKE '%기둝관리%'
seouldata_climate_3156
2017λ…„ 이후에 νμ—…ν•œ μ„œμšΈμ‹œ μ˜λ“±ν¬ μ†Œμž¬μ˜ λ―Όλ°©μœ„κΈ‰μˆ˜ μ‹œμ„€μž₯을 μ•Œλ €μ€„λž˜
{'token': '2017', 'start': 0, 'column_index': 7}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_114601_Y_D WHERE DCBYMD >= 20170101000000
publicdata_welfare_177
μ²­μ • μ†Œν™”κΈ°μ˜ μ„€μΉ˜ μœ„μΉ˜λ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ²­μ • μ†Œν™”κΈ°', 'start': 0, 'column_index': 4}
SELECT INSTALLATION_LOCATION FROM TP_NAJU_HALL_FIRE_EXTINGUISHER_FAC_MNG_STS WHERE FIRE_EXTINGUISHER = 'μ²­μ • μ†Œν™”κΈ°'
seouldata_healthcare_1492
μ†Œμž¬μ§€ μ§€λ²ˆμ— 상도동이 λ“€μ–΄κ°€λŠ” μ—…μ†Œμ˜ ν–‰μ • 처리 횟수λ₯Ό μ—…μ†Œλͺ…λ³„λ‘œ μ•Œλ €μ€˜
{'token': '상도동', 'start': 8, 'column_index': 8}
SELECT UPSO_NM, COUNT(UPSO_NM) FROM DJ_ADMIN_MESURE WHERE SITE_ADDR LIKE '%상도동%' GROUP BY UPSO_NM
seouldata_climate_2605
점검 사항에 λŒ€κΈ° 배좜이 ν¬ν•¨λœ μ—…μ²΄μ˜ 이름을 λ³΄μ—¬μ€˜
{'token': 'λŒ€κΈ°λ°°μΆœ', 'start': 7, 'column_index': 10}
SELECT WRKP_NM FROM SEODAEMUN_LIST_ENV_GUIDE_CHECK WHERE DRT_INSP_ITEM LIKE '%λŒ€κΈ°λ°°μΆœ%'
publicdata_industrialeconomic_6388
경남도 건 μˆ˜κ°€ 1000 μ΄μƒμ΄κ±°λ‚˜ λΆ€μ‚°μ‹œ κ±΄μˆ˜κ°€ 20 이상인 양식 μ–΄μ—…κΆŒ λ©΄ν—ˆμ˜ ν’ˆμ’…μ„ κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
{'token': '20', 'start': 28, 'column_index': 2}, {'token': '1000', 'start': 9, 'column_index': 20}
SELECT BREED_V FROM C_STS_LICENSES_AQUACULTURE_FISHING_RIGHTS_MOF_VARIETY WHERE NUM_CASES_BUSANW >= 20 OR N_C_S_G_P_V >= 1000 ORDER BY BREED_V
publicdata_climate_6111
μ΅œμ’… λ³€κ²½μžκ°€ 톡합 κ΄€λ¦¬μžμ΄κ±°λ‚˜ λΆ€μ„œ μ½”λ“œκ°€ 20으둜 μ‹œμž‘ν•˜λŠ” ν†΅κ³„ν‘œμ˜ 이름을 λ³΄μ—¬μ€˜
{'token': '20', 'start': 25, 'column_index': 6}, {'token': 'ν†΅ν•©κ΄€λ¦¬μž', 'start': 8, 'column_index': 8}
SELECT S_R_I FROM ME_ENV_STS_BASIC_INFO WHERE DEPARTMENT_CDL LIKE '20%' OR LAST_MODIFIERN = 'ν†΅ν•©κ΄€λ¦¬μž'
seouldata_culture_3337
데이터 κ°±μ‹  μΌμžκ°€ 졜근인 μˆœμ„œλŒ€λ‘œ 상세 μ˜μ—… μƒνƒœλͺ…이 μ˜μ—… 쀑인 사업μž₯의 이름과 μΈν—ˆκ°€ 일자λ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ˜μ—…μ€‘', 'start': 31, 'column_index': 8}
SELECT BPLCNM, APVPERMYMD FROM L_O_C_A_L_D_A_T_A_031203_G_J WHERE DTLSTATENM = 'μ˜μ—…μ€‘' ORDER BY UPDATEDT DESC
publicdata_publicadministration_1936
λΆ€μ„œλͺ…λ³„λ‘œ μ •μ±… μˆ˜μ™€ λΆ€μ„œμ˜ 이름을 λ³΄μ—¬μ€˜
SELECT DEPARTMENT, COUNT(POLICY_NAME) FROM MAJOR_POLICIES_PROMOTION_SANCHEONG_GUN_GYEONGNAM GROUP BY DEPARTMENT
publicdata_climate_2393
μ§€λ²ˆ μ£Όμ†Œμ— 점봉동이 λ“€μ–΄κ°€κ³  카메라가 5λŒ€ 이상인 곳의 μ†Œμž¬μ§€ μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '점봉동', 'start': 7, 'column_index': 2}, {'token': '5', 'start': 22, 'column_index': 4}
SELECT LOC_NUM_ADDRESSS FROM GG_YEJ_CCTV WHERE LOC_NUM_ADDRESSS LIKE '%점봉동%' OR NUM_CAMERASU >= 5
seouldata_transportation_5025
영치 연도별 영치 건수의 평균값과 μ˜μΉ˜μ›”μ˜ 개수λ₯Ό 영치 연도와 ν•¨κ»˜ λ³΄μ—¬μ€˜
SELECT CSDY_YYYY, AVG(CSDY_COUNT), COUNT(CSDY_MM) FROM CSCY_PUBLIC_VIEW_Y_D GROUP BY CSDY_YYYY
publicdata_climate_6086
μƒμœ„ λ²ˆν˜Έκ°€ 330인 λŒ“κΈ€μ˜ 등둝일을 μ•Œλ €μ€˜
{'token': '330', 'start': 7, 'column_index': 6}
SELECT RE_DTP FROM ME_ENV_MNG_INFO_PORTAL_OTHER_MEMBER_COMMENTS WHERE TOP_NUMO = 330
seouldata_industrialeconomic_2006
λ„λ‘œλͺ… μš°νŽΈλ²ˆν˜Έκ°€ 5747인 사업μž₯의 이름을 λ³΄μ—¬μ€˜
{'token': '5747', 'start': 10, 'column_index': 15}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_020306_S_P WHERE RDNPOSTNO = '5747'
publicdata_industrialeconomic_4909
μ„œλͺ…에 μœ μ „μ΄ λ“€μ–΄κ°€λŠ” 연ꡬ μ„±κ³Ό μ •λ³΄μ˜ 좜판 연도λ₯Ό 였래된 μˆœλΆ€ν„° 쀑볡 없이 λ‚˜μ—΄ν•΄μ€˜
{'token': 'μœ μ „', 'start': 4, 'column_index': 2}
SELECT DISTINCT YEAR_PUBLICATIONA FROM P_INFO_KRIBB_BIOTECH_RESEARCH WHERE SIGNATUREX LIKE '%μœ μ „%' ORDER BY YEAR_PUBLICATIONA ASC
seouldata_culture_3491
μ§€λ²ˆμ£Όμ†Œκ°€ λ§μš°λ™μ— μžˆλŠ” 곳의 사업μž₯λͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
{'token': 'λ§μš°λ™', 'start': 6, 'column_index': 12}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_041501_J_R WHERE SITEWHLADDR LIKE '%λ§μš°λ™%' ORDER BY BPLCNM ASC
seouldata_healthcare_2770
μ„œμ΄ˆκ΅¬μ— μžˆλŠ” μ‹ν’ˆμœ„μƒμ—…μ†Œμ˜ μ—…νƒœλͺ…별 μ—…μ†Œ 수의 μ΅œλŒ“κ°’κ³Ό μ΅œμ†Ÿκ°’μ„ λ³΄μ—¬μ€˜
SELECT SNT_UPTAE_NM, MAX(CNT), MIN(CNT) FROM SC_FOOD_HYGIENE_BIZ_LOC_MANAGE GROUP BY SNT_UPTAE_NM
publicdata_climate_4044
폐기물λͺ…에 νμœ κ°€ ν¬ν•¨λ˜λŠ” 곳의 업체 이름을 μ°Ύμ•„μ€˜
SELECT COMPANY_NMQ FROM INFO_W_MNG_DISCHARGE_SITES_KECO_SITE WHERE WASTE_NMS LIKE '%폐유%'
publicdata_industrialeconomic_5966
νŠΉν—ˆλͺ…에 μ˜μƒμ΄ ν¬ν•¨λ˜κ±°λ‚˜ 순번이 200번 이후인 νŠΉν—ˆμ˜ μΆœμ› μΌμžμ™€ 등둝 일자λ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ˜μƒ', 'start': 5, 'column_index': 2}, {'token': '200', 'start': 19, 'column_index': 1}
SELECT APPLICATION_DTR, RE_DTS FROM ETRI_PATENT_REG_STS WHERE PATENT_NMQ LIKE '%μ˜μƒ%' OR NUMP >= 200
seouldata_culture_1640
μ§€ν•˜ μΈ΅μˆ˜κ°€ 1측인 곳의 μ‹œμ„€ 면적을 μ•Œλ €μ€˜
{'token': '1', 'start': 7, 'column_index': 27}
SELECT FACILAR FROM L_O_C_A_L_D_A_T_A_030505_Y_S WHERE UNDERNUMLAY = '1'
seouldata_healthcare_4596
이름에 ν•œκ΅­μ΄ λ“€μ–΄κ°€λŠ” 사업μž₯의 수λ₯Ό μ•Œλ €μ€˜
{'token': 'ν•œκ΅­', 'start': 4, 'column_index': 14}
SELECT COUNT(BPLCNM) FROM L_O_C_A_L_D_A_T_A_010202_S_C WHERE BPLCNM LIKE '%ν•œκ΅­%'
seouldata_culture_3104
μš°μ •μ˜μƒν”„λ‘œλ•μ…˜μ˜ λ„λ‘œλͺ… μ£Όμ†ŒλŠ” μ–΄λ””μ•Ό
{'token': 'μš°μ •μ˜μƒν”„λ‘œλ•μ…˜', 'start': 0, 'column_index': 15}
SELECT RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_031005_Y_D WHERE BPLCNM = 'μš°μ •μ˜μƒν”„λ‘œλ•μ…˜'
publicdata_culture_3593
2003년에 μ‹ κ³ ν•œ μΆœνŒμ‚¬ 및 μΈμ‡„μ†Œμ˜ 이름과 λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
SELECT BUSINESS_NMS, ROAD_NM_BUSINESS_LOCT FROM GG_YEJ_PUBLISHER_PRINTING_O_STS WHERE RP_DTR LIKE '2003%'
publicdata_culture_5983
λΆ„λ₯˜μ— μ²΄ν—˜μ΄ λ“€μ–΄κ°€κ±°λ‚˜ μ£Όμ†Œκ°€ 좩청남도인 κ΄€κ΄‘ μžμ›μ˜ μ„ΈλΆ€ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
{'token': 'μ²΄ν—˜', 'start': 4, 'column_index': 2}, {'token': '좩청남도', 'start': 18, 'column_index': 4}
SELECT DETAILED_ADDRESSA FROM L_K_T_R_W_K_R_I_A_K_F_R_I_M WHERE CLASX LIKE '%μ²΄ν—˜%' OR ADDRESSZ = '좩청남도'
publicdata_industrialeconomic_11460
λͺ…칭이 κ·œνšŒμ„μ΄λ‚˜ 금인 광물이 μžˆλŠ” λ‚˜λΌ 이름을 사전 λ°°μ—΄ μ—­μˆœμœΌλ‘œ 쀑볡 없이 λ‚˜μ—΄ν•΄ 쀘
{'token': 'κ·œνšŒμ„', 'start': 4, 'column_index': 1}, {'token': '금', 'start': 10, 'column_index': 1}
SELECT DISTINCT T2.STATE_NAME FROM APP_KOMIR_TYPE_LIGHT AS T1 JOIN KOMIR_OVERSEAS_MINERAL_RESOURCES_SURVEY_PRO_INFO AS T2 ON T1.MINERAL_NAME = T2.LIGHT_SPECIES WHERE T1.MINERAL_NAME IN (SELECT MINERAL_NAME FROM APP_KOMIR_TYPE_LIGHT WHERE MINERAL_NAME = 'κ·œνšŒμ„' OR MINERAL_NAME = '금') ORDER BY T2.STATE_NAME DESC
seouldata_industrialeconomic_3589
μ§€λ²ˆ μ£Όμ†Œμ— 고척동이 λ“€μ–΄κ°„ 사업μž₯의 이름을 μ•Œλ €μ€˜
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_092805_G_R WHERE SITEWHLADDR LIKE '%고척동%'
publicdata_culture_5610
μš°λ¦¬λ‚˜λΌ 언둠은 κ³΅μ •ν•˜λ‹€λŠ” 것과 μš°λ¦¬λ‚˜λΌ 언둠은 μ‹ λ’°ν•  수 μžˆλ‹€λŠ” 것에 λŒ€ν•œ μ–Έλ‘  인식 평가가 2점인 쀑뢄λ₯˜λ₯Ό λ³΄μ—¬μ€˜
{'token': '2', 'start': 53, 'column_index': 4}, {'token': '2', 'start': 53, 'column_index': 7}
SELECT DETAILED_CLASM FROM KPF_JOURNALISTS_SURVEY_STS_PRESS_PERCEPTION_EVN WHERE KOREAN_PRESS_FAIRO = '2' OR OUR_MEDIA_RELIABLER = '2'
publicdata_climate_3193
1000 μ„ΈλŒ€ 이상인 λ‹¨μ§€μ˜ μ‚¬μš© μŠΉμΈμΌμ€ μ–Έμ œμ•Ό
{'token': '1000', 'start': 0, 'column_index': 4}
SELECT DT_APPROVAL_USED FROM STS_GGBC_MANDATORY_MULTI_FAMILY_HOUSING WHERE NUM_HOUSEHOLDSC >= 1000
publicdata_industrialeconomic_5790
λŒ€μ „μ‹œμ˜ μ „λ ₯ κ±°λž˜μΌμ„ 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
{'token': 'λŒ€μ „μ‹œ', 'start': 0, 'column_index': 1}
SELECT DISTINCT TRADING_DAYR FROM KPX_DAEJEON_SEJONG_CITY_PW_GENERATION WHERE AREAQ = 'λŒ€μ „μ‹œ'
seouldata_healthcare_5402
μžμΉ˜κ΅¬κ°€ μ„œμ΄ˆκ΅¬λ‚˜ 강동ꡬ인 μ˜λ£ŒκΈ°κ΄€μ˜ 운영 μ‹œμž‘ 일자λ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ„œμ΄ˆκ΅¬', 'start': 5, 'column_index': 3}, {'token': '강동ꡬ', 'start': 10, 'column_index': 3}
SELECT MGTSTADD FROM TB_RPRT_HOSP WHERE SGGUCDNM = 'μ„œμ΄ˆκ΅¬' OR SGGUCDNM = '강동ꡬ'
publicdata_culture_5755
μœ μ„±κ΅¬μ— μžˆλŠ” μ—…μ†Œ κΈ°κ΄€λͺ…을 μ•Œλ €μ€˜
{'token': 'μœ μ„±κ΅¬', 'start': 0, 'column_index': 4}
SELECT N_B_E_I FROM C_STS_HOT_SPRING_FAC_NATIONWIDE_MOIS WHERE ADDRESSV LIKE '%μœ μ„±κ΅¬%'
seouldata_industrialeconomic_252
행사λͺ…에 취업이 λ“€μ–΄κ°„ 곳의 λ°•λžŒνšŒ 연도λ₯Ό μ•Œλ €μ€˜
{'token': 'μ·¨μ—…', 'start': 5, 'column_index': 1}
SELECT JOBFAIR_YEAR FROM JOB_FAIR_INFO WHERE JOBFAIR_NAME LIKE '%μ·¨μ—…%'
seouldata_climate_1785
사업μž₯ 이름에 학ꡐ가 ν¬ν•¨λ˜λŠ” 곳의 μ†Œμž¬μ§€ 면적은 μ–Όλ§ˆμ•Ό
{'token': '학ꡐ', 'start': 8, 'column_index': 17}
SELECT SITEAREA FROM L_O_C_A_L_D_A_T_A_114602_S_P WHERE BPLCNM LIKE '%학ꡐ%'
publicdata_industrialeconomic_629
λ§€μΆœμ•‘κ³Ό κ°€μž…μž 수λ₯Ό λ³΄μ—¬μ€˜
SELECT TAKE, NUMBER_OF_SUBSCRIBERS FROM CURRENT_STS_SUBSCRIBERS_S_KOSMESS_SBCPLAN_SUBSCRIBERS
publicdata_healthcare_2771
μ—…νƒœ μœ ν˜•μ— ν•œμ‹μ΄ ν¬ν•¨λ˜λ©΄μ„œ μ‹¬μ˜ ꡬ뢄이 μž¬μ§€μ •μΈ μƒν˜Έμ˜ 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ •λ ¬ν•΄μ„œ μ£Ό μ·¨κΈ‰ μŒμ‹κ³Ό μƒν˜Έλ₯Ό λ³΄μ—¬μ€˜
{'token': 'ν•œμ‹', 'start': 7, 'column_index': 3}, {'token': 'μž¬μ§€μ •', 'start': 24, 'column_index': 7}
SELECT MUTUALF, MAIN_DISHH FROM GBYC_M_RESTAURANT_STS WHERE TYPE_BUSINESSG LIKE '%ν•œμ‹%' AND DELIBERATION_CLASK = 'μž¬μ§€μ •' ORDER BY MUTUALF
seouldata_climate_939
2011년에 μž‘μ—…μ΄ μ§„ν–‰λ˜λŠ” λŒ€μˆ˜μ„ μ˜ λ‚΄μš©μ„ μ•Œλ €μ€˜
{'token': '2011', 'start': 0, 'column_index': 6}
SELECT IMPRPR_CNTT FROM BIG_JTY_IMPRPR WHERE WORK_DAY LIKE '2011%'
seouldata_culture_105
μ‹œμ„€ μœ ν˜•λͺ…이 λ„μ„œκ΄€μΈ μ‹œμ„€μ˜ 이름을 μ•Œλ €μ€˜
{'token': 'λ„μ„œκ΄€', 'start': 8, 'column_index': 2}
SELECT FCLTY_NM FROM VW_SCC_FACILITY WHERE FCLTY_TY_NM = 'λ„μ„œκ΄€'
seouldata_climate_1670
상세 μ˜μ—… μƒνƒœλͺ…이 μ‚¬μš© 쀑인 사업μž₯의 이름을 λ³΄μ—¬μ€˜
{'token': 'μ‚¬μš©μ€‘', 'start': 11, 'column_index': 7}
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_114602_J_G WHERE DTLSTATENM = 'μ‚¬μš©μ€‘'
seouldata_education_4434
κ°€μŠ€λ°°μƒμ±…μž„λ³΄ν—˜μ— κ°€μž…ν•œ μœ μΉ˜μ› 이름을 μ°Ύμ•„μ€˜
{'token': 'κ°€μŠ€λ°°μƒμ±…μž„λ³΄ν—˜', 'start': 0, 'column_index': 5}
SELECT KINDERNAME FROM CHILD_SCHOOL_INSURANCE_SC WHERE INSURANCE_NM = 'κ°€μŠ€λ°°μƒμ±…μž„λ³΄ν—˜'
seouldata_culture_3801
이름에 관광이 λ“€μ–΄κ°€κ±°λ‚˜ μ‹œμ„€ 면적이 50 이상인 사업μž₯의 μžλ³ΈκΈˆμ„ μ•Œλ €μ€˜
{'token': 'κ΄€κ΄‘', 'start': 4, 'column_index': 15}, {'token': '50', 'start': 21, 'column_index': 33}
SELECT CAPT FROM L_O_C_A_L_D_A_T_A_031201_G_S WHERE BPLCNM LIKE '%κ΄€κ΄‘%' OR FACILAR >= 50
publicdata_publicadministration_5140
2021λ…„ 05μ›” 및 2021λ…„ 06μ›” μ§€μˆ˜κ°€ 각각 105인 λ°μ΄ν„°μ˜ 2021λ…„ 04μ›” μ§€μˆ˜λ₯Ό μ•Œλ €μ€˜
{'token': '105', 'start': 29, 'column_index': 47}, {'token': '105', 'start': 29, 'column_index': 48}
SELECT Y_2021_04S FROM REB_N_HOUSING_PRICE_TREND_SURVEY_M_TREND_APT_M_PRICE_IDX_AGE WHERE Y_2021_05T = '105' AND Y_2021_06U = '105'
publicdata_climate_6368
비고에 λ―Έλž˜κ°€ λ“€μ–΄κ°€λŠ” κΈ°ν›„λ³€ν™” μ§€ν‘œμ˜ 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
{'token': '미래', 'start': 4, 'column_index': 39}
SELECT INDICATOR_NMU FROM INFO_CLIMATE_CHANGE_INDICATORS_KR_I_ENV_POLICY_EVN WHERE NOTEF LIKE '%미래%' ORDER BY INDICATOR_NMU