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seouldata_climate_330
건물λͺ…κ³Ό μž‘μ—… 일자λ₯Ό μ•Œλ €μ€˜
SELECT BLD_NM, WORK_DAY FROM BIG_DJY_BLD_RGST_INFO
seouldata_climate_330
번이 130이고 μ§€κ°€ 3인 곳의 관리 κ±΄μΆ•λ¬ΌλŒ€μž₯을 μ•Œλ €μ€˜
{'token': '130', 'start': 3, 'column_index': 8}, {'token': '3', 'start': 12, 'column_index': 9}
SELECT MGM_BLDRGST_PK FROM BIG_DJY_BLD_RGST_INFO WHERE BUN = 130 AND JI = 3
seouldata_climate_330
κ±΄μΆ•λ¬ΌλŒ€μž₯ 정보 쀑 λ²ˆμ§€κ°€ 13-77 μž‘μ—…μΌκ³Ό 건물 λͺ…은 뭐야
{'token': '13', 'start': 15, 'column_index': 8}, {'token': '77', 'start': 18, 'column_index': 9}
SELECT BLD_NM,WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BUN = 13 AND JI = 77
seouldata_climate_330
건물λͺ…이 BOX둜 λλ‚˜λŠ” 곳의 μž‘μ—… 일자λ₯Ό μ•Œλ €μ€˜
{'token': 'BOX', 'start': 5, 'column_index': 13}
SELECT WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM LIKE '%BOX'
seouldata_climate_330
건물λͺ…에 백솑이 λ“€μ–΄κ°€λŠ” 곳의 μž‘μ—… 일자λ₯Ό 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
{'token': '백솑', 'start': 5, 'column_index': 13}
SELECT DISTINCT WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM LIKE '%백솑%'
seouldata_climate_330
μ„œμšΈμ‹œμ˜ κ±΄μΆ•λ¬ΌλŒ€μž₯ μ •λ³΄μ—μ„œ μƒˆ μ£Όμ†Œ 본번 60 이상 μƒˆ μ£Όμ†Œ λΆ€λ²ˆ 2 이상인 μ‹œκ΅°κ΅¬ μ½”λ“œμ™€ 법정동 μ½”λ“œλ₯Ό μ°Ύμ•„μ€˜
{'token': '60', 'start': 24, 'column_index': 22}, {'token': '2', 'start': 38, 'column_index': 23}
SELECT SIGUNGU_CD,BJDONG_CD FROM BIG_DJY_BLD_RGST_INFO WHERE NA_MAIN_BUN >= 60 AND NA_SUB_BUN >= 2
seouldata_climate_330
μž‘μ—… μΌμžκ°€ 2018λ…„ 03월인 κ±΄μΆ•λ¬ΌλŒ€μž₯ μ •λ³΄μ˜ ν•΄λ‹Ή 건물λͺ…을 μ•Œλ €μ€˜
{'token': '2018λ…„ 03μ›”', 'start': 7, 'column_index': 24}
SELECT BLD_NM FROM BIG_DJY_BLD_RGST_INFO WHERE WORK_DAY LIKE '201803%'
seouldata_climate_330
이름이 빌둜 λλ‚˜λŠ” 건물의 μž‘μ—… 일자λ₯Ό μ΅œκ·ΌμˆœλΆ€ν„° κ²ΉμΉ˜μ§€ μ•Šκ²Œ λ³΄μ—¬μ€˜
{'token': '빌', 'start': 4, 'column_index': 13}
SELECT DISTINCT WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM LIKE '%빌' ORDER BY WORK_DAY DESC
seouldata_climate_330
건물 이름이 μ€€μ˜λΉŒλ”©μ΄κ±°λ‚˜ νŒ°λ¦¬μŠ€κ°€ ν¬ν•¨λœ κ±΄μΆ•λ¬ΌλŒ€μž₯ μ •λ³΄μ˜ μž‘μ—… μΌμžλŠ” μ–Έμ œμ•Ό
{'token': 'μ€€μ˜λΉŒλ”©', 'start': 7, 'column_index': 13}, {'token': '팰리슀', 'start': 15, 'column_index': 13}
SELECT WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM = 'μ€€μ˜λΉŒλ”©' OR BLD_NM LIKE '%팰리슀%'
seouldata_climate_330
건물 이름이 μ‹ μ•„νƒ€μš΄μΈ 곳의 관리 건좕물 λŒ€μž₯ 번호λ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ‹ μ•„νƒ€μš΄', 'start': 7, 'column_index': 13}
SELECT MGM_BLDRGST_PK FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM = 'μ‹ μ•„νƒ€μš΄'
seouldata_climate_330
μƒˆμ£Όμ†Œ 법정동 μ½”λ“œκ°€ 10603인 건물의 이름을 쀑볡을 μ œμ™Έν•˜κ³  λ³΄μ—¬μ€˜
{'token': '10603', 'start': 12, 'column_index': 20}
SELECT DISTINCT BLD_NM FROM BIG_DJY_BLD_RGST_INFO WHERE NA_BJDONG_CD = 10603
seouldata_climate_330
μ˜λ™ν•˜μ΄μΈ μ˜ μž‘μ—… μΌμžλŠ” μ–Έμ œμ•Ό
{'token': 'μ˜λ™ν•˜μ΄μΈ ', 'start': 0, 'column_index': 13}
SELECT WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM = 'μ˜λ™ν•˜μ΄μΈ '
seouldata_climate_330
μ€€μ˜λΉŒλ”©μ˜ μƒˆ μ£Όμ†Œ λ„λ‘œ μ½”λ“œλŠ” 뭐야
{'token': 'μ€€μ˜λΉŒλ”©', 'start': 0, 'column_index': 13}
SELECT NA_ROAD_CD FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM = 'μ€€μ˜λΉŒλ”©'
seouldata_climate_330
κ±΄μΆ•λ¬Όμ˜ μˆ˜κ°€ λ§Žμ€ μˆœμ„œλŒ€λ‘œ μ‹œκ΅°κ΅¬ μ½”λ“œλ³„ κ±΄μΆ•λ¬Όμ˜ 수λ₯Ό μ‹œκ΅°κ΅¬ μ½”λ“œμ™€ ν•¨κ»˜ λ³΄μ—¬μ€˜
SELECT SIGUNGU_CD, COUNT(MGM_BLDRGST_PK) FROM BIG_DJY_BLD_RGST_INFO GROUP BY SIGUNGU_CD ORDER BY COUNT(MGM_BLDRGST_PK) DESC
seouldata_climate_330
4둜 λλ‚˜λŠ” 관리 κ±΄μΆ•λ¬ΌλŒ€μž₯의 건물λͺ…을 λ³΄μ—¬μ€˜
{'token': '4', 'start': 0, 'column_index': 1}
SELECT BLD_NM FROM BIG_DJY_BLD_RGST_INFO WHERE MGM_BLDRGST_PK LIKE '%4'
seouldata_climate_330
이름에 ν¬λ ˆμƒ€μΈμ΄ λ“€μ–΄κ°€λŠ” 건물의 μž‘μ—… 일자λ₯Ό 쀑볡 없이 μ°Ύμ•„μ€˜
{'token': 'ν¬λ ˆμƒ€μΈ', 'start': 4, 'column_index': 13}
SELECT DISTINCT WORK_DAY FROM BIG_DJY_BLD_RGST_INFO WHERE BLD_NM LIKE '%ν¬λ ˆμƒ€μΈ%'
seouldata_climate_1029
μ€ν–‰λ‚˜λ¬΄μ˜ X μ’Œν‘œλ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ€ν–‰λ‚˜λ¬΄', 'start': 0, 'column_index': 7}
SELECT X FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'μ€ν–‰λ‚˜λ¬΄'
seouldata_climate_1029
수λͺ©λͺ…이 νŒ₯λ°°λ‚˜λ¬΄μΈ 곳의 동λͺ…을 μ•Œλ €μ€˜
{'token': 'νŒ₯λ°°λ‚˜λ¬΄', 'start': 5, 'column_index': 7}
SELECT DONG_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'νŒ₯λ°°λ‚˜λ¬΄'
seouldata_climate_1029
곡원 및 μ‚¬μœ μ§€ 수λͺ© μœ„μΉ˜μ •λ³΄μ—μ„œ ν˜œν™”λ™μ— μœ„μΉ˜ν•œ 수λͺ© 이름을 μ°Ύμ•„μ€˜
{'token': 'ν˜œν™”λ™', 'start': 19, 'column_index': 5}
SELECT WDPT_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE DONG_NM = 'ν˜œν™”λ™'
seouldata_climate_1029
수λͺ© 이름인 μƒμˆ˜λ¦¬λ‚˜λ¬΄μ™€ κ°λ‚˜λ¬΄μ˜ 흉고 지름이 μ–Όλ§ˆμ•Ό
{'token': 'μƒμˆ˜λ¦¬λ‚˜λ¬΄', 'start': 7, 'column_index': 7}, {'token': 'κ°λ‚˜λ¬΄', 'start': 14, 'column_index': 7}
SELECT BHT_DM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'μƒμˆ˜λ¦¬λ‚˜λ¬΄' OR WDPT_NM = 'κ°λ‚˜λ¬΄'
seouldata_climate_1029
곡원 및 μ‚¬μœ μ§€ 수λͺ© μœ„μΉ˜μ •λ³΄μ—μ„œ 창신동과 이화동에 μžˆλŠ” 수λͺ©μ˜ κ³ μœ λ²ˆν˜Έμ™€ 수λͺ©λͺ…을 μ•Œλ €μ€˜
{'token': '창신동', 'start': 19, 'column_index': 5}, {'token': '이화동', 'start': 24, 'column_index': 5}
SELECT TRE_IDN,WDPT_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE DONG_NM = '창신동' OR DONG_NM = '이화동'
seouldata_climate_1029
수λͺ©λͺ…λ³„λ‘œ 수λͺ©λͺ…κ³Ό 흉고 μ§€λ¦„μ˜ 합계λ₯Ό μ•Œλ €μ€˜
SELECT WDPT_NM, SUM(BHT_DM) FROM GEO_INFO_PARK_AND_PRIVATE_LAND GROUP BY WDPT_NM
seouldata_climate_1029
λŠν‹°λ‚˜λ¬΄κ°€ μžˆλŠ” 동λͺ…별 μœ„μΉ˜μ˜ μˆ˜μ™€ 동λͺ…을 λ‚˜νƒ€λ‚΄μ€˜
{'token': 'λŠν‹°λ‚˜λ¬΄', 'start': 0, 'column_index': 7}
SELECT DONG_NM, COUNT(LC) FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'λŠν‹°λ‚˜λ¬΄' GROUP BY DONG_NM
seouldata_climate_1029
ν˜œν™”λ™μ΄λ‚˜ 창신동에 μžˆλŠ” 수λͺ©λͺ…을 κ²ΉμΉ˜μ§€ μ•Šκ²Œ λ³΄μ—¬μ€˜
{'token': 'ν˜œν™”λ™', 'start': 0, 'column_index': 5}, {'token': '창신동', 'start': 6, 'column_index': 5}
SELECT DISTINCT WDPT_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE DONG_NM = 'ν˜œν™”λ™' OR DONG_NM = '창신동'
seouldata_climate_1029
곡원 및 μ‚¬μœ μ§€ 수λͺ© μœ„μΉ˜μ •λ³΄μ—μ„œ μ’…λ‘œκ΅¬ μˆ­μΈλ™μ— μžˆλŠ” 수λͺ©μ„ μ°Ύμ•„μ€˜
{'token': 'μ’…λ‘œκ΅¬', 'start': 19, 'column_index': 2}, {'token': 'μˆ­μΈλ™', 'start': 23, 'column_index': 5}
SELECT WDPT_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE GU_NM = 'μ’…λ‘œκ΅¬' AND DONG_NM = 'μˆ­μΈλ™'
seouldata_climate_1029
수λͺ©λͺ…이 νŠ€λ¦½λ‚˜λ¬΄μΈ 곳의 동λͺ…을 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': 'νŠ€λ¦½λ‚˜λ¬΄', 'start': 5, 'column_index': 7}
SELECT DISTINCT DONG_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'νŠ€λ¦½λ‚˜λ¬΄'
seouldata_climate_1029
νŠ€λ¦½λ‚˜λ¬΄κ°€ μžˆλŠ” 동 이름을 μ°Ύμ•„μ€˜
{'token': 'νŠ€λ¦½λ‚˜λ¬΄', 'start': 0, 'column_index': 7}
SELECT DONG_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'νŠ€λ¦½λ‚˜λ¬΄'
seouldata_climate_1029
ꡬλͺ…이 μ’…λ‘œκ΅¬μ΄κ³  이름이 μ€ν–‰λ‚˜λ¬΄μΈ 수λͺ©μ˜ 개수λ₯Ό μ•Œλ €μ€˜
{'token': 'μ’…λ‘œκ΅¬', 'start': 4, 'column_index': 2}, {'token': 'μ€ν–‰λ‚˜λ¬΄', 'start': 14, 'column_index': 7}
SELECT COUNT(OBJECTID) FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE GU_NM = 'μ’…λ‘œκ΅¬' AND WDPT_NM = 'μ€ν–‰λ‚˜λ¬΄'
seouldata_climate_1029
수λͺ©λͺ…이 μ†Œλ‚˜λ¬΄μΈ μ‚¬μœ μ§€ 수λͺ© μ •λ³΄μ˜ ν•΄λ‹Ή 동λͺ…κ³Ό ꡬλͺ…을 μ°Ύμ•„μ€˜
{'token': 'μ†Œλ‚˜λ¬΄', 'start': 5, 'column_index': 7}
SELECT DONG_NM, GU_NM FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'μ†Œλ‚˜λ¬΄'
seouldata_climate_1029
μ€ν–‰λ‚˜λ¬΄μ™€ μ˜€λ™λ‚˜λ¬΄μ˜ 관리기관을 쀑볡 없이 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ •λ ¬ν•΄μ€˜
{'token': 'μ€ν–‰λ‚˜λ¬΄', 'start': 0, 'column_index': 7}, {'token': 'μ˜€λ™λ‚˜λ¬΄', 'start': 6, 'column_index': 7}
SELECT DISTINCT MGE_ORG FROM GEO_INFO_PARK_AND_PRIVATE_LAND WHERE WDPT_NM = 'μ€ν–‰λ‚˜λ¬΄' OR WDPT_NM = 'μ˜€λ™λ‚˜λ¬΄' ORDER BY MGE_ORG
seouldata_climate_3
λΆ€μ œκ°€ μ‹±ν¬λŒ€μΈ λ™μ˜μƒμ˜ κ°•μ˜ μ‹œκ°„μ„ μ•Œλ €μ€˜
{'token': 'μ‹±ν¬λŒ€', 'start': 4, 'column_index': 7}, {'token': 'μ‹±ν¬λŒ€', 'start': 4, 'column_index': 7}
SELECT VIDEO_RNNG_TIME FROM VW_DIY_VIDEO WHERE VIDEO_TITLE = 'μ‹±ν¬λŒ€'
seouldata_climate_3
μ•ŒκΈ° μ‰¬μš΄ μ§‘μˆ˜λ¦¬ λ™μ˜μƒ 쀑 λ™μ˜μƒ ν”Œλ ˆμ΄ νšŸμˆ˜κ°€ 1000 이상인 κ°•μ’Œμ˜ 제λͺ©μ€ 뭐야
{'token': '1000', 'start': 28, 'column_index': 19}
SELECT VIDEO_EDU_TITLE FROM VW_DIY_VIDEO WHERE VIDEO_HIT >= 1000
seouldata_climate_3
μ•ŒκΈ° μ‰¬μš΄ μ§‘μˆ˜λ¦¬ λ™μ˜μƒ μ •λ³΄μ—μ„œ κ°•μ˜ μ‹œκ°„μ΄ 20 미만인 κ°•μ’Œμ˜ 제λͺ©μ„ μ°Ύμ•„μ€„λž˜
{'token': '20', 'start': 26, 'column_index': 12}
SELECT VIDEO_EDU_TITLE FROM VW_DIY_VIDEO WHERE VIDEO_RNNG_TIME > 20
seouldata_climate_3
λ™μ˜μƒ id 16번의 κ°•μ˜ μ‹œκ°„κ³Ό ν”Œλ ˆμ΄ νšŸμˆ˜κ°€ μ–Όλ§ˆλ‚˜ λ˜λŠ”μ§€ μ•Œλ €μ€˜
{'token': '16', 'start': 7, 'column_index': 1}
SELECT VIDEO_RNNG_TIME, VIDEO_HIT FROM VW_DIY_VIDEO WHERE VIDEO_ID = 16
seouldata_climate_3
ν”Œλ ˆμ΄ νšŸμˆ˜κ°€ 4000회 이상인 λ™μ˜μƒμ˜ κ°•μ’Œ 제λͺ©κ³Ό λΆ€μ œλ₯Ό μ•Œλ €μ€˜
{'token': '4000', 'start': 8, 'column_index': 19}
SELECT VIDEO_EDU_TITLE, VIDEO_TITLE FROM VW_DIY_VIDEO WHERE VIDEO_HIT >= 4000
seouldata_climate_3
κ°•μ’Œ 제λͺ©μ— νŽ˜μΈνŠΈκ°€ λ“€μ–΄κ°€λŠ” λ™μ˜μƒμ˜ ν”Œλ ˆμ΄ νšŸμˆ˜μ™€ κ°•μ˜μ‹œκ°„μ„ μ•Œλ €μ€˜
{'token': '페인트', 'start': 7, 'column_index': 8}
SELECT VIDEO_RNNG_TIME, VIDEO_HIT FROM VW_DIY_VIDEO WHERE VIDEO_EDU_TITLE LIKE '%페인트%'
seouldata_climate_3
제λͺ©μ΄ 방수둜 μ‹œμž‘ν•˜λŠ” κ°•μ’Œμ˜ κ°•μ˜ μ‹œκ°„μ„ μ•Œλ €μ€˜
{'token': '방수', 'start': 4, 'column_index': 8}
SELECT VIDEO_RNNG_TIME FROM VW_DIY_VIDEO WHERE VIDEO_EDU_TITLE LIKE '방수%'
seouldata_climate_3
제λͺ©μ΄ μ‹±ν¬λŒ€λ‘œ μ‹œμž‘ν•˜λŠ” κ°•μ’Œμ˜ κ°•μ˜ μ‹œκ°„μ„ μ•Œλ €μ€˜
SELECT VIDEO_RNNG_TIME FROM VW_DIY_VIDEO WHERE VIDEO_EDU_TITLE LIKE 'μ‹±ν¬λŒ€%'
seouldata_climate_3
제λͺ©μ— 균열이 λ“€μ–΄κ°€λŠ” κ°•μ’Œμ˜ 평균 ν”Œλ ˆμ΄ νšŸμˆ˜λŠ” μ–Όλ§ˆμ•Ό
SELECT AVG(VIDEO_HIT) FROM VW_DIY_VIDEO WHERE VIDEO_EDU_TITLE LIKE '%κ· μ—΄%'
seouldata_climate_3
κ°•μ’Œ 제λͺ©μ΄ κ· μ—΄λ‘œ μ‹œμž‘ν•˜λŠ” μ˜μƒμ˜ ν”Œλ ˆμ΄ νšŸμˆ˜λŠ” μ–Όλ§ˆμ•Ό
{'token': 'κ· μ—΄', 'start': 7, 'column_index': 8}
SELECT VIDEO_HIT FROM VW_DIY_VIDEO WHERE VIDEO_EDU_TITLE LIKE 'κ· μ—΄%'
seouldata_climate_3
κ°•μ’Œ 순번이 1번인 λ™μ˜μƒμ˜ κ°•μ’Œ 제λͺ©μ„ μ°Ύμ•„μ€˜
{'token': '1', 'start': 7, 'column_index': 6}
SELECT VIDEO_EDU_TITLE FROM VW_DIY_VIDEO WHERE VIDEO_TURN = 1
seouldata_climate_3
ν”Œλ ˆμ΄ νšŸμˆ˜κ°€ 2000회 이상이고 λ‚œμ΄λ„λͺ…이 μ΄ˆκΈ‰μΈ κ°•μ’Œμ˜ 제λͺ©μ„ μ•Œλ €μ€˜
{'token': '2000', 'start': 8, 'column_index': 19}, {'token': 'μ΄ˆκΈ‰', 'start': 25, 'column_index': 11}
SELECT VIDEO_EDU_TITLE FROM VW_DIY_VIDEO WHERE VIDEO_HIT >= 2000 AND VIDEO_EDU_LEVEL_NM = 'μ΄ˆκΈ‰'
seouldata_climate_3
제λͺ©μ— νƒœμ–‘κ΄‘μ΄ ν¬ν•¨λ˜λŠ” κ°•μ’Œμ˜ ν”Œλ ˆμ΄ νšŸμˆ˜μ™€ κ°•μ˜ μ‹œκ°„μ„ μ•Œλ €μ€˜
{'token': 'νƒœμ–‘κ΄‘', 'start': 4, 'column_index': 8}
SELECT VIDEO_HIT, VIDEO_RNNG_TIME FROM VW_DIY_VIDEO WHERE VIDEO_EDU_TITLE LIKE '%νƒœμ–‘κ΄‘%'
seouldata_climate_110
μΌλ ¨λ²ˆν˜Έκ°€ 340인 ν•˜μ²œκΈ°λ³Έκ³„νš 사업λͺ…을 μ°Ύμ•„μ€˜
{'token': '340', 'start': 6, 'column_index': 2}
SELECT BNSNM FROM RIMV WHERE SEQNO = 340
seouldata_climate_110
ν•˜μ²œκ°œμˆ˜ μ •λ³΄μ—μ„œ 수립 연도가 2020λ…„ 이후인 ν•˜μ²œκΈ°λ³Έκ³„νš 사업λͺ…을 μ•Œλ €μ€˜
{'token': '2020λ…„', 'start': 17, 'column_index': 4}
SELECT BNSNM FROM RIMV WHERE ESTYEAR >= 20200000000000
seouldata_climate_110
ν•˜μ²œκ°œμˆ˜ μ •λ³΄μ—μ„œ ν•˜μ²œκΈ°λ³Έκ³„νš 사업λͺ…κ³Ό 수립 연도λ₯Ό μ•Œλ €μ€˜
SELECT BNSNM, ESTYEAR FROM RIMV
seouldata_climate_110
μˆ˜λ¦½λ…„λ„κ°€ 2015년인 곳의 ν•˜κ΅¬ 쒅점 거리가 μ–Όλ§ˆμ•Ό
SELECT RMTEPDIT FROM RIMV WHERE ESTYEAR LIKE '2015%'
seouldata_climate_110
이름에 ν•œκ°•μ΄ ν¬ν•¨λ˜λŠ” ν•˜μ²œ κΈ°λ³Έκ³„νš μ‚¬μ—…μ˜ 수립 μ—°λ„λŠ” μ–Έμ œμ•Ό
SELECT ESTYEAR FROM RIMV WHERE BNSNM LIKE '%ν•œκ°•%'
seouldata_climate_110
수립 연도가 2015년이고 μ§€λ₯˜ ꡬ뢄이 μ§€λ₯˜μΈ ν•˜μ²œκΈ°λ³Έκ³„νš 사업λͺ…을 쀑볡 없이 μ•Œλ €μ€˜
{'token': 'λ³Έλ₯˜', 'start': 0, 'column_index': 6}
SELECT DISTINCT BNSNM FROM RIMV WHERE ESTYEAR LIKE '2015%' AND BRSCLSCDNM = 'λ³Έλ₯˜'
seouldata_climate_110
수립 연도가 2012년인 μ‚¬μ—…μ˜ μ‹œμ κ³Ό 쒅점을 μ•Œλ €μ€˜
{'token': '2012', 'start': 7, 'column_index': 4}
SELECT SPNM, EPNM FROM RIMV WHERE ESTYEAR LIKE '2012%'
seouldata_climate_110
이름이 μ•ˆμ–‘μœΌλ‘œ μ‹œμž‘ν•˜λŠ” ν•˜μ²œκΈ°λ³Έκ³„νš μ‚¬μ—…μ˜ μ‹œμ κ³Ό 쒅점을 μ•Œλ €μ€˜
{'token': 'μ•ˆμ–‘', 'start': 4, 'column_index': 3}
SELECT SPNM, EPNM FROM RIMV WHERE BNSNM LIKE 'μ•ˆμ–‘%'
seouldata_climate_110
쒅점 κ³„νš ν™μˆ˜λŸ‰μ΄ 100을 μ΄ˆκ³Όν•˜λ©° 쒅점 κ³„νš ν™μˆ˜μœ„κ°€ 10 이상인 μ‚¬μ—…μ˜ 수립 연도와 ν•˜μ²œ κΈ°λ³Έ κ³„νš 사업λͺ…을 수립 연도가 μ΅œμ‹ μΈ μˆœμ„œλΆ€ν„° λ³΄μ—¬μ€˜
{'token': '100', 'start': 11, 'column_index': 13}, {'token': '10', 'start': 32, 'column_index': 15}
SELECT BNSNM, ESTYEAR FROM RIMV WHERE EPDFD > 100 AND EPDFL >= 10 ORDER BY ESTYEAR DESC
seouldata_climate_110
쒅점 κ³„νšν™μˆ˜λŸ‰μ΄ 31인 ν•˜μ²œμ˜ 쒅점 κ³„νšν™μˆ˜μœ„λ₯Ό μ•Œλ €μ€˜
{'token': '31', 'start': 10, 'column_index': 13}
SELECT EPDFL FROM RIMV WHERE EPDFD = '31'
seouldata_climate_110
μΌλ ¨λ²ˆν˜Έκ°€ 43번인 ν•˜μ²œκΈ°λ³Έκ³„νš 사업 이름과 ν•˜κ΅¬ 쒅점 거리λ₯Ό μ°Ύμ•„μ€˜
{'token': '43', 'start': 6, 'column_index': 2}
SELECT BNSNM, RMTEPDIT FROM RIMV WHERE SEQNO = 43
seouldata_climate_110
μ’Œμš°μ•ˆμ΄ μ’Œμ•ˆμ΄κ³  μ§€λ₯˜ ꡬ뢄이 λ³Έλ₯˜μΈ ν•˜κ΅¬ 쒅점 거리λ₯Ό μ•Œλ €μ€˜
{'token': 'μ’Œμ•ˆ', 'start': 5, 'column_index': 5}, {'token': 'λ³Έλ₯˜', 'start': 17, 'column_index': 6}
SELECT RMTEPDIT FROM RIMV WHERE LRBCDNM = 'μ’Œμ•ˆ' AND BRSCLSCDNM = 'λ³Έλ₯˜'
seouldata_climate_110
μ„œμšΈμ΄ ν¬ν•¨λ˜λŠ” μ‹œμ κ³Ό 쒅점을 μ•Œλ €μ€˜
{'token': 'μ„œμšΈ', 'start': 0, 'column_index': 7}
SELECT SPNM, EPNM FROM RIMV WHERE SPNM LIKE '%μ„œμšΈ%'
seouldata_climate_110
이름이 νƒ„μ²œ λ“± 10개 ν•˜μ²œκΈ°λ³Έκ³„νšμΈ μ‚¬μ—…μ˜ 수립 연도가 μ–Έμ œμΈμ§€ 쀑볡 없이 μ•Œλ €μ€˜
{'token': 'νƒ„μ²œ λ“± 10개 ν•˜μ²œκΈ°λ³Έκ³„νš', 'start': 4, 'column_index': 3}
SELECT DISTINCT ESTYEAR FROM RIMV WHERE BNSNM = 'νƒ„μ²œ λ“± 10개 ν•˜μ²œκΈ°λ³Έκ³„νš'
seouldata_climate_110
쒅점 κ³„νš ν™μˆ˜μœ„κ°€ 10 이상 20 미만인 곳의 μ‹œμ  κ³„νš ν™μˆ˜λŸ‰κ³Ό 쒅점 κ³„νš ν™μˆ˜λŸ‰μ„ λ³΄μ—¬μ€˜
{'token': '10', 'start': 11, 'column_index': 15}, {'token': '20', 'start': 17, 'column_index': 15}
SELECT SPDFD, EPDFD FROM RIMV WHERE EPDFL >= 10 AND EPDFL < 20
seouldata_climate_110
첫 번쨰 κ³„νš ν•˜ν­μ΄ 42μ΄κ±°λ‚˜ 55 및 118인 μ‚¬μ—…μ˜ μ‹œμ κ³Ό 쒅점을 μ•Œλ €μ€˜
{'token': '42', 'start': 12, 'column_index': 16}, {'token': '55', 'start': 18, 'column_index': 16}, {'token': '118', 'start': 23, 'column_index': 16}
SELECT SPNM, EPNM FROM RIMV WHERE IMP_DSW1 = '55' OR IMP_DSW1 = '118' OR IMP_DSW1 = '42'
seouldata_climate_119
κ΅­κ°€ν•˜μ²œμΈ μ‹œμ„€λ¬Ό 이름을 μ•Œλ €μ€˜
{'token': 'κ΅­κ°€ν•˜μ²œ', 'start': 0, 'column_index': 7}
SELECT FACSNM FROM BK WHERE RIVGRDNM = 'κ΅­κ°€ν•˜μ²œ'
seouldata_climate_119
ν˜Έμ•ˆ ꡬ뢄이 μ €μˆ˜ν˜Έμ•ˆμœΌλ‘œ λ˜μ–΄μžˆλŠ” μ •λ³΄μ—μ„œ μ‹œμ κ³Ό 쒅점을 μ•Œλ €μ€˜
{'token': 'μ €μˆ˜ν˜Έμ•ˆ', 'start': 7, 'column_index': 31}
SELECT SPNM, EPNM FROM BK WHERE RVTCLS = 'μ €μˆ˜ν˜Έμ•ˆ'
seouldata_climate_119
제방 및 호방 μ •λ³΄μ—μ„œ ν˜Έμ•ˆ ν˜•μ‹λͺ…이 토사인 곳의 ν•˜μ²œκ°œν™© μ‹œμ λͺ…κ³Ό 쒅점λͺ…을 μ•Œλ €μ€˜
{'token': '토사', 'start': 21, 'column_index': 34}
SELECT SP_RIV_LED, EP_RIV_LED FROM BK WHERE RVTFOMNM = '토사'
seouldata_climate_119
ν•˜μ²œλͺ…λ³„λ‘œ μ§€λ°©ν•˜μ²œμ˜ 평균 ν•˜κ΅¬ 쒅점거리와 ν•˜μ²œ 이름을 λ‚˜νƒ€λ‚΄μ€˜
{'token': 'μ§€λ°©ν•˜μ²œ', 'start': 6, 'column_index': 7}
SELECT RIVNM, AVG(RMTEPDIT) FROM BK WHERE RIVGRDNM = 'μ§€λ°©ν•˜μ²œ' GROUP BY RIVNM
seouldata_climate_119
ν•˜μ²œλͺ…이 νƒ„μ²œμ΄κ³  μ’Œμš°μ•ˆμ΄ μ’Œμ•ˆμΈ μ‹œμ„€λ¬Όλͺ…을 쀑볡을 μ œμ™Έν•˜κ³  λ³΄μ—¬μ€˜
{'token': 'νƒ„μ²œ', 'start': 5, 'column_index': 6}, {'token': 'μ’Œμ•ˆ', 'start': 15, 'column_index': 8}
SELECT DISTINCT FACSNM FROM BK WHERE RIVNM = 'νƒ„μ²œ' AND LRBCDNM = 'μ’Œμ•ˆ'
seouldata_climate_119
μ–‘μž¬μ²œμ˜ μ‹œμ κ³Ό 쒅점을 λ‚˜νƒ€λ‚΄μ€˜
{'token': 'μ–‘μž¬μ²œ', 'start': 0, 'column_index': 6}
SELECT SPNM, EPNM FROM BK WHERE RIVNM = 'μ–‘μž¬μ²œ'
seouldata_climate_119
ν•˜μ²œ 등급이 κ΅­κ°€ ν•˜μ²œμΈ 곳의 μ‹œμ κ³Ό 쒅점을 μ°Ύμ•„μ€˜
{'token': 'κ΅­κ°€ν•˜μ²œ', 'start': 7, 'column_index': 7}
SELECT SPNM, EPNM FROM BK WHERE RIVGRDNM = 'κ΅­κ°€ν•˜μ²œ'
seouldata_climate_119
μ‹œμ„€λ¬Όλͺ…κ³Ό ν•˜μ²œλͺ…을 μ•Œλ €μ€˜
SELECT FACSNM, RIVNM FROM BK
seouldata_climate_119
쒅점이 μ„œμšΈμ‹œλ‘œ μ‹œμž‘ν•˜λŠ” μ§€λ°© ν•˜μ²œμ˜ ν•˜μ²œλͺ…을 쀑볡 없이 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ λ‚˜νƒ€λ‚΄ 쀘
{'token': 'μ„œμšΈμ‹œ', 'start': 4, 'column_index': 10}, {'token': 'μ§€λ°©ν•˜μ²œ', 'start': 14, 'column_index': 7}
SELECT DISTINCT RIVNM FROM BK WHERE EPNM LIKE 'μ„œμšΈμ‹œ%' AND RIVGRDNM = 'μ§€λ°©ν•˜μ²œ' ORDER BY RIVNM DESC
seouldata_climate_119
μ‹œμ μ— μ„œμ΄ˆκ΅¬κ°€ λ“€μ–΄κ°€κ³  쒅점에 강남ꡬ가 λ“€μ–΄κ°„ 곳의 ν•˜κ΅¬ 쒅점 거리가 μ–Όλ§ˆμ•Ό
{'token': 'μ„œμ΄ˆκ΅¬', 'start': 4, 'column_index': 9}, {'token': '강남ꡬ', 'start': 18, 'column_index': 10}
SELECT RMTEPDIT FROM BK WHERE SPNM LIKE '%μ„œμ΄ˆκ΅¬%' AND EPNM LIKE '%강남ꡬ%'
seouldata_climate_119
이름이 μ•ˆμ–‘μ²œμΈ ν•˜μ²œμ˜ 등급을 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': 'μ•ˆμ–‘μ²œ', 'start': 4, 'column_index': 6}
SELECT DISTINCT RIVGRDNM FROM BK WHERE RIVNM = 'μ•ˆμ–‘μ²œ'
seouldata_climate_119
ν˜Έμ•ˆ ν˜•μ‹λͺ…에 블둝이 λ“€μ–΄κ°€λŠ” ν•˜μ²œ κΈ°λ³Έ κ³„νš 사업λͺ…을 μ•Œλ €μ€˜
{'token': '블둝', 'start': 8, 'column_index': 34}
SELECT BNSNM FROM BK WHERE RVTFOMNM LIKE '%블둝%'
seouldata_climate_119
ν•˜μ²œλͺ…별 ν•˜κ΅¬ 쒅점 거리의 총합과 ν•˜μ²œλͺ…을 μ°Ύμ•„μ€˜
SELECT RIVNM, SUM(RMTEPDIT) FROM BK GROUP BY RIVNM
seouldata_climate_119
ν˜Έμ•ˆ ν˜•μ‹μ— λŒμŒ“κΈ°κ°€ λ“€μ–΄κ°€λŠ” ν•˜μ²œμ˜ 이름과 μ‹œμ μ„ μ•Œλ €μ€˜
{'token': 'λŒμŒ“κΈ°', 'start': 7, 'column_index': 34}
SELECT RIVNM, SPNM FROM BK WHERE RVTFOMNM LIKE '%λŒμŒ“κΈ°%'
seouldata_climate_119
ν•˜μ²œλͺ…이 μ„Έκ³‘μ²œμΈ 곳의 수립 μ—°λ„λŠ” μ–Έμ œμ•Ό
{'token': 'μ„Έκ³‘μ²œ', 'start': 5, 'column_index': 6}
SELECT ESTYEAR FROM BK WHERE RIVNM = 'μ„Έκ³‘μ²œ'
seouldata_climate_119
κ΅­κ°€ν•˜μ²œμ˜ 이름을 쀑볡 없이 μ•Œλ €μ€˜
{'token': 'κ΅­κ°€ν•˜μ²œ', 'start': 0, 'column_index': 7}
SELECT DISTINCT RIVNM FROM BK WHERE RIVGRDNM = 'κ΅­κ°€ν•˜μ²œ'
seouldata_climate_387
μžμ›νšŒμˆ˜μ‹œμ„€ TMS 곡지사항 μ€‘μ—μ„œ λ²ˆν˜Έκ°€ 1354인 제λͺ©μ€ 뭐야
{'token': '1354', 'start': 24, 'column_index': 5}
SELECT TITLE FROM VIW_TMS_NOTICE WHERE SEQNO = 1354
seouldata_climate_387
TMS 정기점검 μ•ˆλ‚΄μ˜ μž…λ ₯ λ‚ μ§œλ₯Ό μ•Œλ €μ€˜
{'token': 'TMS 정기점검 μ•ˆλ‚΄', 'start': 0, 'column_index': 1}
SELECT IN_DATE FROM VIW_TMS_NOTICE WHERE TITLE = 'TMS 정기점검 μ•ˆλ‚΄'
seouldata_climate_387
μžμ›νšŒμˆ˜μ‹œμ„€ TMS 곡지사항 쀑 2020λ…„ 3μ›” 이후에 λ“±λ‘λ˜κ³  μ•ˆλ‚΄λΌλŠ” 단어가 ν¬ν•¨λœ 제λͺ©μ„ μ°Ύμ•„μ€˜
{'token': '2020λ…„ 3μ›”', 'start': 18, 'column_index': 2}
SELECT TITLE FROM VIW_TMS_NOTICE WHERE TITLE LIKE '%μ•ˆλ‚΄%' AND IN_DATE > 20200300000000
seouldata_climate_387
제λͺ©μ— 점검이 λ“€μ–΄κ°€λŠ” κ³΅μ§€μ‚¬ν•­μ˜ μž…λ ₯ λ‚ μ§œλ₯Ό μ•Œλ €μ€˜
{'token': '점검', 'start': 4, 'column_index': 1}
SELECT IN_DATE FROM VIW_TMS_NOTICE WHERE TITLE LIKE '%점검%'
seouldata_climate_387
μž…λ ₯ λ‚ μ§œκ°€ 2020λ…„ 6월인 κ²Œμ‹œλ¬Όμ˜ 제λͺ©μ„ λ³΄μ—¬μ€˜
SELECT TITLE FROM VIW_TMS_NOTICE WHERE IN_DATE LIKE '202006%'
seouldata_climate_387
제λͺ©μ΄ κ°•λ‚¨μœΌλ‘œ μ‹œμž‘ν•˜λŠ” 곡지 μ‚¬ν•­μ˜ μž…λ ₯ λ‚ μ§œλ₯Ό μ•Œλ €μ€˜
SELECT IN_DATE FROM VIW_TMS_NOTICE WHERE TITLE LIKE '강남%'
seouldata_climate_387
κ²Œμ‹œλ¬Ό 번호 1326 λ˜λŠ” 1317의 μž…λ ₯ λ‚ μ§œ μ•Œλ €μ€˜
{'token': '1326', 'start': 7, 'column_index': 5}, {'token': '1317', 'start': 15, 'column_index': 5}
SELECT IN_DATE FROM VIW_TMS_NOTICE WHERE SEQNO = 1326 OR SEQNO = 1317
seouldata_climate_387
2020λ…„ 7월이 μž…λ ₯ λ‚ μ§œμΈ κΈ€μ˜ 제λͺ©μ„ λ³΄μ—¬μ€˜
{'token': '2020λ…„ 7μ›”', 'start': 0, 'column_index': 2}
SELECT TITLE FROM VIW_TMS_NOTICE WHERE IN_DATE LIKE '202007%'
seouldata_climate_387
2020λ…„ 9월에 μž…λ ₯ν•œ κΈ€μ˜ κ²Œμ‹œλ¬Όμ˜ 제λͺ©μ„ μ•Œλ €μ€˜
SELECT TITLE FROM VIW_TMS_NOTICE WHERE IN_DATE LIKE '202009%'
seouldata_climate_387
TMS 곡지사항 제λͺ© μ€‘μ—μ„œ 점검과 강남이 ν¬ν•¨λœ κ²Œμ‹œλ¬Όμ˜ μž…λ ₯ λ‚ μ§œλŠ” μ–Έμ œμ•Ό
SELECT IN_DATE FROM VIW_TMS_NOTICE WHERE TITLE LIKE '%점검%' AND TITLE LIKE '%강남%'
seouldata_climate_387
제λͺ©μ΄ κ°•λ‚¨μœΌλ‘œ μ‹œμž‘ν•˜λŠ” κ³΅μ§€μ‚¬ν•­μ˜ μž…λ ₯ λ‚ μ§œλ₯Ό 졜근순으둜 λ³΄μ—¬μ€˜
{'token': '강남', 'start': 4, 'column_index': 1}
SELECT IN_DATE FROM VIW_TMS_NOTICE WHERE TITLE LIKE '강남%' ORDER BY IN_DATE DESC
seouldata_climate_387
제λͺ©μ΄ κ°•λ‚¨μžμ›νšŒμˆ˜μ‹œμ„€ TMS 주간정기점검 μ•ˆλ‚΄μΈ κ³΅μ§€μ‚¬ν•­μ˜ μˆ˜μ • λ‚ μ§œλŠ” μ–Έμ œμ•Ό
{'token': 'κ°•λ‚¨μžμ›νšŒμˆ˜μ‹œμ„€ TMS 주간정기점검 μ•ˆλ‚΄', 'start': 4, 'column_index': 1}
SELECT RESOURCE_UP_DATE FROM VIW_TMS_NOTICE WHERE TITLE = 'κ°•λ‚¨μžμ›νšŒμˆ˜μ‹œμ„€ TMS 주간정기점검 μ•ˆλ‚΄'
seouldata_climate_387
κ²Œμ‹œλ¬Ό λ²ˆν˜Έμ™€ 제λͺ©μ„ λ³΄μ—¬μ€˜
SELECT SEQNO, TITLE FROM VIW_TMS_NOTICE
seouldata_climate_234
μ„œμšΈκ³Όν•™κ΄€ κ±΄λ¦½κ³΅μ‚¬μ˜ 벌점 λΆ€κ³Ό 일이 μ–Έμ œμ•Ό
{'token': 'μ„œμšΈκ³Όν•™κ΄€ 건립곡사', 'start': 0, 'column_index': 3}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE PJT_NAME = 'μ„œμšΈκ³Όν•™κ΄€ 건립곡사'
seouldata_climate_234
점검 μ’…λ₯˜κ°€ 정기쑰사인 μ‚¬μ—…μ˜ 벌점 λΆ€κ³Ό 일을 μ•Œλ €μ€˜
{'token': '정기쑰사', 'start': 7, 'column_index': 5}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE CHK_DIV_NM = '정기쑰사'
seouldata_climate_234
자체 쑰사 점검인 사업λͺ…을 μ•Œλ €μ€˜
{'token': 'μžμ²΄μ‘°μ‚¬', 'start': 0, 'column_index': 5}
SELECT PJT_NAME FROM PMIS_INSFFNT_DEM WHERE CHK_DIV_NM = 'μžμ²΄μ‘°μ‚¬'
seouldata_climate_234
점검 μ’…λ₯˜κ°€ κΈ°λ™λΆˆμ‹œμΈ μ‚¬μ—…μ˜ 벌점 λΆ€κ³Ό 일이 μ–Έμ œμ•Ό
{'token': 'κΈ°λ™λΆˆμ‹œ', 'start': 7, 'column_index': 5}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE CHK_DIV_NM = 'κΈ°λ™λΆˆμ‹œ'
seouldata_climate_234
2013년에 벌점이 λΆ€κ³Όλœ 사업λͺ…을 μ•Œλ €μ€˜
SELECT PJT_NAME FROM PMIS_INSFFNT_DEM WHERE PNT_DATE LIKE '2013%'
seouldata_climate_234
이름이 μ„œμšΈκ³Όν•™κ΄€ 건립곡사인 μ‚¬μ—…μ˜ 점검 μ’…λ₯˜μ™€ 벌점 번호 및 λ²Œμ μ„ μ°Ύμ•„μ€˜
{'token': 'μ„œμšΈκ³Όν•™κ΄€ 건립곡사', 'start': 4, 'column_index': 3}
SELECT PNT_NO, PNT_NUM, CHK_DIV_NM FROM PMIS_INSFFNT_DEM WHERE PJT_NAME = 'μ„œμšΈκ³Όν•™κ΄€ 건립곡사'
seouldata_climate_234
이름에 μš°μ΄κ°€ λ“€μ–΄κ°€λŠ” μ‚¬μ—…μ˜ 벌점 뢀과일은 μ–Έμ œμ•Ό
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE PJT_NAME LIKE '%우이%'
seouldata_climate_234
벌점이 1점이고 μ •κΈ° 쑰사λ₯Ό ν•˜λŠ” 곳의 벌점 뢀과일이 μ–Έμ œμ•Ό
{'token': '1', 'start': 4, 'column_index': 7}, {'token': '정기쑰사', 'start': 9, 'column_index': 5}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE PNT_NUM = 1 AND CHK_DIV_NM = '정기쑰사'
seouldata_climate_234
사업λͺ…에 λ„λ‘œκ°€ λ“€μ–΄κ°€κ±°λ‚˜ 벌점이 1 μ΄ν•˜μΈ 곳의 벌점 λΆ€κ³Ό 일을 μ•Œλ €μ€˜
{'token': '1', 'start': 19, 'column_index': 7}, {'token': 'λ„λ‘œ', 'start': 5, 'column_index': 3}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE PNT_NUM <= 1 OR PJT_NAME LIKE '%λ„λ‘œ%'
seouldata_climate_234
사업λͺ…에 κ³ μ†λ„λ‘œκ°€ λ“€μ–΄κ°€λŠ” κ²ƒμ˜ 벌점 뢀과일이 μ–Έμ œμ•Ό
{'token': 'κ³ μ†λ„λ‘œ', 'start': 5, 'column_index': 3}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE PJT_NAME LIKE '%κ³ μ†λ„λ‘œ%'
seouldata_climate_234
사업λͺ…이 ν–‰λ³΅ν”ŒλŸ¬μŠ€ μž‘μ—…μž₯ κ±΄λ¦½κ³΅μ‚¬μ΄κ±°λ‚˜ μ„œμšΈκ³Όν•™κ΄€ 건립곡사인 곳의 벌점 뢀과일은 μ–Έμ œμ•Ό
{'token': 'ν–‰λ³΅ν”ŒλŸ¬μŠ€ μž‘μ—…μž₯ 건립곡사', 'start': 5, 'column_index': 3}, {'token': 'μ„œμšΈκ³Όν•™κ΄€ 건립곡사', 'start': 23, 'column_index': 3}
SELECT PNT_DATE FROM PMIS_INSFFNT_DEM WHERE PJT_NAME = 'ν–‰λ³΅ν”ŒλŸ¬μŠ€ μž‘μ—…μž₯ 건립곡사' OR PJT_NAME = 'μ„œμšΈκ³Όν•™κ΄€ 건립곡사'
seouldata_climate_234
사업 μ½”λ“œκ°€ 2둜 λλ‚˜λŠ” 사업 이름을 μ•Œλ €μ€˜
{'token': '2', 'start': 7, 'column_index': 2}
SELECT PJT_NAME FROM PMIS_INSFFNT_DEM WHERE PJT_CD LIKE '%2'