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Minnyeong
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aihubNL2SQL_with_input

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seouldata_climate_505
μ„œλ‚¨λ¬Όμž¬μƒμ„Όν„°μ— μžˆλŠ” ν…Œλ‹ˆμŠ€μž₯의 개방 횟수λ₯Ό μ•Œλ €μ€˜
{'token': 'μ„œλ‚¨λ¬Όμž¬μƒμ„Όν„°', 'start': 0, 'column_index': 2}, {'token': 'ν…Œλ‹ˆμŠ€μž₯', 'start': 12, 'column_index': 3}
SELECT OPN_CNT FROM OPEN_REP WHERE HAND_ID = 'μ„œλ‚¨λ¬Όμž¬μƒμ„Όν„°' AND OPN_LOC = 'ν…Œλ‹ˆμŠ€μž₯'
seouldata_climate_505
λ°°λ“œλ―Όν„΄μž₯κ³Ό 강당이 μžˆλŠ” λ¬Όμž¬μƒμ„Όν„°μ˜ λͺ…칭을 μ•Œλ €μ€˜
{'token': 'λ°°λ“œλ―Όν„΄μž₯', 'start': 0, 'column_index': 3}, {'token': 'κ°•λ‹Ή', 'start': 7, 'column_index': 3}
SELECT HAND_ID FROM OPEN_REP WHERE OPN_LOC = 'λ°°λ“œλ―Όν„΄μž₯' OR OPN_LOC = 'κ°•λ‹Ή'
seouldata_climate_505
처리μž₯ 개방 μΌμžκ°€ 2022λ…„ 4월인 곳의 개방 μž₯μ†Œ ꡬ뢄과 개방 횟수λ₯Ό μ•Œλ €μ€˜
SELECT OPN_CNT, OPN_LOC FROM OPEN_REP WHERE OPN_YMD LIKE '202204%'
seouldata_climate_505
2022λ…„ 4월에 κ°œλ°©ν•œ λ°°λ“œλ―Όν„΄μž₯의 이용 인원을 λ³΄μ—¬μ€˜
{'token': 'λ°°λ“œλ―Όν„΄μž₯', 'start': 14, 'column_index': 3}
SELECT USE_CNT FROM OPEN_REP WHERE OPN_LOC = 'λ°°λ“œλ―Όν„΄μž₯' AND OPN_YMD LIKE '202204%'
seouldata_climate_505
ν…Œλ‹ˆμŠ€μž₯의 개방 νšŸμˆ˜μ™€ 이용 인원을 λ³΄μ—¬μ€˜
{'token': 'ν…Œλ‹ˆμŠ€μž₯', 'start': 0, 'column_index': 3}
SELECT OPN_CNT, USE_CNT FROM OPEN_REP WHERE OPN_LOC = 'ν…Œλ‹ˆμŠ€μž₯'
seouldata_climate_505
이용 인원이 7000 이상인 개방 μž₯μ†Œλ₯Ό 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '7000', 'start': 7, 'column_index': 5}
SELECT DISTINCT OPN_LOC FROM OPEN_REP WHERE USE_CNT >= 7000
seouldata_climate_505
λ¬Ό μž¬μƒ 센터별 개방 횟수의 ν•©κ³Ό λ¬Ό μž¬μƒμ„Όν„° λͺ…칭을 λ³΄μ—¬μ€˜
SELECT SUM(OPN_CNT), HAND_ID FROM OPEN_REP GROUP BY HAND_ID
seouldata_climate_505
νƒ„μ²œλ¬Όμž¬μƒμ„Όν„°μ˜ 개방 μž₯μ†Œ ꡬ뢄과 개방 횟수λ₯Ό λ³΄μ—¬μ€˜
{'token': 'νƒ„μ²œλ¬Όμž¬μƒμ„Όν„°', 'start': 0, 'column_index': 2}
SELECT OPN_LOC, OPN_CNT FROM OPEN_REP WHERE HAND_ID = 'νƒ„μ²œλ¬Όμž¬μƒμ„Όν„°'
seouldata_climate_505
이용 인원이 588λͺ…이고 개방 νšŸμˆ˜κ°€ 48회인 λ¬Ό μž¬μƒμ„Όν„°μ˜ 개방 μž₯μ†Œλ₯Ό μ•Œλ €μ€˜
{'token': '588', 'start': 7, 'column_index': 5}, {'token': '48', 'start': 21, 'column_index': 4}
SELECT OPN_LOC FROM OPEN_REP WHERE USE_CNT = '588' AND OPN_CNT = '48'
seouldata_climate_505
개방 νšŸμˆ˜κ°€ 2322회인 λ¬Ό μž¬μƒ μ„Όν„°μ˜ λͺ…칭을 μ•Œλ €μ€˜
{'token': '2322', 'start': 7, 'column_index': 4}
SELECT HAND_ID FROM OPEN_REP WHERE OPN_CNT = '2322'
seouldata_climate_505
개방 μž₯μ†Œκ°€ ν…Œλ‹ˆμŠ€μž₯μ΄κ±°λ‚˜ λ°°λ“œλ―Όν„΄μž₯인 λ¬Όμž¬μƒμ„Όν„°μ˜ λͺ…칭을 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': 'ν…Œλ‹ˆμŠ€μž₯', 'start': 7, 'column_index': 3}, {'token': 'λ°°λ“œλ―Όν„΄μž₯', 'start': 15, 'column_index': 3}
SELECT DISTINCT HAND_ID FROM OPEN_REP WHERE OPN_LOC = 'ν…Œλ‹ˆμŠ€μž₯' OR OPN_LOC = 'λ°°λ“œλ―Όν„΄μž₯' ORDER BY HAND_ID DESC
seouldata_climate_630
빗물관리 μ €μ˜ν–₯개발 μ‚¬μ „ν˜‘μ˜ 곡간 μ •λ³΄μ—μ„œ κ²°κ³Ό 관리 λ²ˆν˜Έμ™€ κ³„νš 관리 번호λ₯Ό λ³΄μ—¬μ€˜
SELECT RESULT_NO, PLAN_NO FROM BNLC_AS
seouldata_climate_630
1둜 μ‹œμž‘ν•˜λŠ” κ³„νš 관리 번호λ₯Ό μ•Œλ €μ€˜
{'token': '1', 'start': 0, 'column_index': 2}
SELECT PLAN_NO FROM BNLC_AS WHERE PLAN_NO LIKE '1%'
seouldata_climate_630
κ²°κ³Ό 관리 λ²ˆν˜Έκ°€ 1μ΄κ±°λ‚˜ 1040인 곡간 μ •λ³΄μ˜ ν•΄λ‹Ή κ³„νš 관리 번호λ₯Ό μ•Œλ €μ€˜
{'token': '1', 'start': 10, 'column_index': 1}, {'token': '1040', 'start': 15, 'column_index': 1}
SELECT PLAN_NO FROM BNLC_AS WHERE RESULT_NO = '1' OR RESULT_NO = '1040'
seouldata_climate_630
κ³„νš 관리 λ²ˆν˜Έκ°€ 4400 μ΄μƒμΈκ²ƒμ˜ κ³„νš 관리 번호λ₯Ό λ³΄μ—¬μ€˜
{'token': '4400', 'start': 10, 'column_index': 2}
SELECT PLAN_NO FROM BNLC_AS WHERE PLAN_NO >= 4400
seouldata_climate_630
κ²°κ³Ό 관리 λ²ˆν˜Έκ°€ 1020μ΄κ±°λ‚˜ 1021인 κ³„νš 관리 번호λ₯Ό μ•Œλ €μ€˜
{'token': '1020', 'start': 10, 'column_index': 1}, {'token': '1021', 'start': 18, 'column_index': 1}
SELECT PLAN_NO FROM BNLC_AS WHERE RESULT_NO = '1020' OR RESULT_NO = '1021'
seouldata_climate_630
κ³„νš 관리 λ²ˆν˜Έκ°€ 2둜 μ‹œμž‘ν•˜λŠ” μ •λ³΄μ˜ κ³„νš 관리 λ²ˆν˜Έμ™€ κ²°κ³Ό 관리 번호λ₯Ό λ³΄μ—¬μ€˜
{'token': '2', 'start': 10, 'column_index': 2}
SELECT PLAN_NO, RESULT_NO FROM BNLC_AS WHERE PLAN_NO LIKE '2%'
seouldata_climate_596
2012년도에 μ‘°μ‚¬ν•œ μ •μ°©μ„± μ–΄λ₯˜μ˜ μ’…λͺ…을 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '2012', 'start': 0, 'column_index': 12}, {'token': 'μ •μ°©μ„±', 'start': 12, 'column_index': 9}
SELECT DISTINCT SPECIES FROM FISH_SAFE WHERE FINDYEAR LIKE '2012%' AND MOVING = 'μ •μ°©μ„±'
seouldata_climate_596
쑰사 지역에 μ›”λ“œμ»΅μ΄ λ“€μ–΄κ°€λŠ” μ–΄λ₯˜ λ³΄ν˜Έμ’…μ˜ 이름을 쀑볡 없이 μ•Œλ €μ€˜
{'token': 'μ›”λ“œμ»΅', 'start': 7, 'column_index': 11}
SELECT DISTINCT SPECIES FROM FISH_SAFE WHERE FINDAREA LIKE '%μ›”λ“œμ»΅%'
seouldata_climate_596
쑰사 지역이 ν•œκ°•μΈ 곳의 Xμ’Œν‘œμ™€ Yμ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
{'token': 'ν•œκ°•', 'start': 7, 'column_index': 11}
SELECT X_VALUE, Y_VALUE FROM FISH_SAFE WHERE FINDAREA = 'ν•œκ°•'
seouldata_climate_596
이름이 κΈ΄λͺ°κ°œμΈ μ’…μ˜ 쑰사지역 X μ’Œν‘œ 정보와 Y μ’Œν‘œ 정보λ₯Ό μ•Œλ €μ€˜
{'token': 'κΈ΄λͺ°κ°œ', 'start': 4, 'column_index': 2}
SELECT X_VALUE, Y_VALUE, FINDAREA FROM FISH_SAFE WHERE SPECIES = 'κΈ΄λͺ°κ°œ'
seouldata_climate_596
이동 νŠΉμ„±μ΄ νšŒμœ μ„±μΈ μ–΄λ₯˜μ˜ μ’…λͺ…κ³Ό κ³Όλͺ…을 μ•Œλ €μ€˜
{'token': 'νšŒμœ μ„±', 'start': 7, 'column_index': 9}
SELECT SPECIES, FAMILYNM FROM FISH_SAFE WHERE MOVING = 'νšŒμœ μ„±'
seouldata_climate_596
μ–΄λ₯˜ λ³΄ν˜Έμ’… 뢄포 곡간 정보 쀑 자치ꡬλͺ…에 λ§ˆν¬κ΅¬κ°€ λ“€μ–΄κ°€κ±°λ‚˜ 쑰사 지역이 μ•ˆμ–‘μ²œμΈ 곳에 λΆ„ν¬ν•˜κ³  μžˆλŠ” μ–΄λ₯˜μ˜ μ’…λͺ…을 μ•Œλ €μ€˜
{'token': '마포ꡬ', 'start': 24, 'column_index': 10}, {'token': 'μ•ˆμ–‘μ²œ', 'start': 42, 'column_index': 11}
SELECT SPECIES FROM FISH_SAFE WHERE GUNAME LIKE '%마포ꡬ%' OR FINDAREA = 'μ•ˆμ–‘μ²œ'
seouldata_climate_596
쑰사 지역이 ν•œκ°•μΈ μ’…λͺ…은 뭐야
{'token': 'ν•œκ°•', 'start': 7, 'column_index': 11}
SELECT SPECIES FROM FISH_SAFE WHERE FINDAREA = 'ν•œκ°•'
seouldata_climate_596
이동 νŠΉμ„±μ΄ 정착성인 μ’…λͺ…을 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': 'μ •μ°©μ„±', 'start': 7, 'column_index': 9}
SELECT DISTINCT SPECIES FROM FISH_SAFE WHERE MOVING = 'μ •μ°©μ„±'
seouldata_climate_596
됭경λͺ¨μΉ˜λ₯Ό λ°œκ²¬ν•œ 쑰사 지역을 μ•Œλ €μ€˜
{'token': '됭경λͺ¨μΉ˜', 'start': 0, 'column_index': 2}
SELECT FINDAREA FROM FISH_SAFE WHERE SPECIES = '됭경λͺ¨μΉ˜'
seouldata_climate_596
κ³Όλͺ…이 λ‘‘μœΌλ‘œ μ‹œμž‘ν•˜λŠ” ν•­λͺ©μ˜ 쑰사 지역과 이동 νŠΉμ„±μ„ λ³΄μ—¬μ€˜
{'token': 'λ‘‘', 'start': 4, 'column_index': 3}
SELECT FINDAREA, MOVING FROM FISH_SAFE WHERE FAMILYNM LIKE 'λ‘‘%'
seouldata_climate_596
κ°μ‹œλΆ•μ–΄κ°€ μ†ν•œ κ³Όλͺ…을 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': 'κ°μ‹œλΆ•μ–΄', 'start': 0, 'column_index': 2}
SELECT DISTINCT FAMILYNM FROM FISH_SAFE WHERE SPECIES = 'κ°μ‹œλΆ•μ–΄'
seouldata_climate_596
μž μ‹€μ΄ λ“€μ–΄κ°€λŠ” 지역을 μ‘°μ‚¬ν•œ 연도λ₯Ό 졜근인 μˆœμ„œλŒ€λ‘œ μ°Ύμ•„μ€˜
{'token': 'μž μ‹€', 'start': 0, 'column_index': 11}
SELECT FINDYEAR FROM FISH_SAFE WHERE FINDAREA LIKE '%μž μ‹€%' ORDER BY FINDYEAR DESC
seouldata_climate_614
λΆ„λ₯˜λͺ…에 μ²­μ†Œλ…„ 아동이 λ“€μ–΄κ°€λŠ” 곳의 라벨 이름을 μ•Œλ €μ€˜
{'token': 'μ²­μ†Œλ…„μ•„λ™', 'start': 5, 'column_index': 4}
SELECT LABEL FROM LIVING_ZONE200_INFO WHERE ENT_NAME LIKE '%μ²­μ†Œλ…„μ•„λ™'
seouldata_climate_614
μƒν™œκΆŒ κ³„νš μ‹œμ„€ 곡간 μ •λ³΄μ—μ„œ 라벨λͺ…에 μ„Όν„°κ°€ λ“€μ–΄κ°€λŠ” 곳의 λΆ„λ₯˜λͺ…을 μ°Ύμ•„μ€˜
{'token': 'μ„Όν„°', 'start': 23, 'column_index': 5}
SELECT ENT_NAME FROM LIVING_ZONE200_INFO WHERE LABEL LIKE '%μ„Όν„°%'
seouldata_climate_614
라벨 λͺ…칭이 μ„Όν„°λ‘œ λλ‚˜λŠ” 곳의 λΆ„λ₯˜λͺ…κ³Ό 라벨λͺ…을 λ³΄μ—¬μ€˜
{'token': 'μ„Όν„°', 'start': 7, 'column_index': 5}
SELECT ENT_NAME, LABEL FROM LIVING_ZONE200_INFO WHERE LABEL LIKE '%μ„Όν„°'
seouldata_climate_614
라벨λͺ…이 μ–΄λ¦°μ΄μ§‘μœΌλ‘œ λλ‚˜λŠ” 곳의 ID와 λ„μ‹œ κ³„νš μ½”λ“œλ₯Ό μ•Œλ €μ€˜
SELECT ID, CODE FROM LIVING_ZONE200_INFO WHERE LABEL LIKE '%어린이집'
seouldata_climate_614
이름에 μ‚¬λž‘μ΄ λ“€μ–΄κ°€λŠ” 라벨의 λΆ„λ₯˜λͺ…을 μ•Œλ €μ€˜
SELECT ENT_NAME FROM LIVING_ZONE200_INFO WHERE LABEL LIKE '%μ‚¬λž‘%'
seouldata_climate_614
μƒν™œκΆŒ κ³„νš μ‹œμ„€ 곡간 μ •λ³΄μ—μ„œ λΆ„λ₯˜λͺ…이 보윑 μ‹œμ„€μΈ 라벨λͺ…μ˜ μ΄κ°œμˆ˜λŠ” μ–Όλ§ˆμ•Ό
SELECT ENT_NAME,COUNT(LABEL) FROM LIVING_ZONE200_INFO WHERE ENT_NAME = 'μ‹œμ„€_λ³΄μœ‘μ‹œμ„€' GROUP BY ENT_NAME
seouldata_climate_614
라벨λͺ…이 μ–΄λ¦°μ΄μ§‘μœΌλ‘œ λλ‚˜λŠ” μ‹œμ„€μ˜ λΆ„λ₯˜λͺ…을 μ•Œλ €μ€˜
{'token': '어린이집', 'start': 5, 'column_index': 5}
SELECT ENT_NAME FROM LIVING_ZONE200_INFO WHERE LABEL LIKE '%어린이집'
seouldata_climate_614
λΆ„λ₯˜λͺ…이 μ£Όμ°¨μž₯으둜 μ‹œμž‘ν•˜κ±°λ‚˜ 보윑 μ‹œμ„€μΈ μƒν™œκΆŒ κ³„νš μ‹œμ„€μ˜ 라벨λͺ…은 뭐야
{'token': 'μ£Όμ°¨μž₯', 'start': 5, 'column_index': 4}, {'token': 'μ‹œμ„€_λ³΄μœ‘μ‹œμ„€', 'start': 0, 'column_index': 4}
SELECT LABEL FROM LIVING_ZONE200_INFO WHERE ENT_NAME LIKE 'μ£Όμ°¨μž₯%' OR ENT_NAME = 'μ‹œμ„€_λ³΄μœ‘μ‹œμ„€'
seouldata_climate_614
μž¬λ‘±μ΄μ–΄λ¦°μ΄μ§‘μ˜ μˆœλ²ˆμ„ μ•Œλ €μ€˜
{'token': 'μž¬λ‘±μ΄μ–΄λ¦°μ΄μ§‘', 'start': 0, 'column_index': 5}
SELECT OBJECTID FROM LIVING_ZONE200_INFO WHERE LABEL = 'μž¬λ‘±μ΄μ–΄λ¦°μ΄μ§‘'
seouldata_climate_614
ν†΅ν†΅μ–΄λ¦°μ΄μ§‘μ˜ λΆ„λ₯˜λͺ…이 뭐야
{'token': '톡톡어린이집', 'start': 0, 'column_index': 5}
SELECT ENT_NAME FROM LIVING_ZONE200_INFO WHERE LABEL = '톡톡어린이집'
seouldata_climate_614
아이디와 라벨λͺ…을 μ•Œλ €μ€˜
SELECT ID, LABEL FROM LIVING_ZONE200_INFO
seouldata_climate_614
λΆ„λ₯˜λͺ…에 μ£Όμ°¨μž₯이 λ“€μ–΄κ°€λŠ” 곳의 라벨λͺ…을 λ³΄μ—¬μ€˜
{'token': 'μ£Όμ°¨μž₯', 'start': 5, 'column_index': 4}
SELECT LABEL FROM LIVING_ZONE200_INFO WHERE ENT_NAME LIKE '%μ£Όμ°¨μž₯%'
seouldata_climate_614
라벨λͺ…에 μ‚¬λž‘μ΄ ν¬ν•¨λ˜λŠ” 곳의 IDλ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ‚¬λž‘', 'start': 5, 'column_index': 5}
SELECT ID FROM LIVING_ZONE200_INFO WHERE LABEL LIKE '%μ‚¬λž‘%'
seouldata_climate_614
λΆ„λ₯˜λͺ…에 문화볡지가 λ“€μ–΄κ°€κ³  라벨λͺ…에 μ„Όν„°κ°€ λ“€μ–΄κ°€λŠ” 곳의 λΆ„λ₯˜λͺ…을 λ³΄μ—¬μ€˜
{'token': '문화볡지', 'start': 5, 'column_index': 4}, {'token': 'μ„Όν„°', 'start': 21, 'column_index': 5}
SELECT ENT_NAME FROM LIVING_ZONE200_INFO WHERE ENT_NAME LIKE '%문화볡지%' AND LABEL LIKE '%μ„Όν„°%'
seouldata_climate_668
μ‹ λ‚΄119μ•ˆμ „μ„Όν„°μ˜ X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό μ•Œλ €μ€˜
{'token': 'μ‹ λ‚΄119μ•ˆμ „μ„Όν„°', 'start': 0, 'column_index': 3}
SELECT NAVI_Y, NAVI_X FROM TB_GI_WARD_P WHERE WARD_NM = 'μ‹ λ‚΄119μ•ˆμ „μ„Όν„°'
seouldata_climate_668
κ΄€μ•… μ†Œλ°©μ„œμ˜ Xμ’Œν‘œμ™€ Yμ’Œν‘œκ°€ 뭐야
{'token': 'κ΄€μ•…μ†Œλ°©μ„œ', 'start': 0, 'column_index': 3}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE WARD_NM = 'κ΄€μ•…μ†Œλ°©μ„œ'
seouldata_climate_668
μ—¬μ˜λ„119μ•ˆμ „μ„Όν„°μ˜ X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ—¬μ˜λ„119μ•ˆμ „μ„Όν„°', 'start': 0, 'column_index': 3}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE WARD_NM = 'μ—¬μ˜λ„119μ•ˆμ „μ„Όν„°'
seouldata_climate_668
ꡬ둜119μ•ˆμ „μ„Όν„°μ˜ X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό μ•Œλ €μ€˜
{'token': 'ꡬ둜119μ•ˆμ „μ„Όν„°', 'start': 0, 'column_index': 3}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE WARD_NM = 'ꡬ둜119μ•ˆμ „μ„Όν„°'
seouldata_climate_668
μ„œμ΄ˆμ†Œλ°©μ„œμ˜ Xμ’Œν‘œμ™€ Yμ’Œν‘œλ₯Ό μ•Œλ €μ€˜
{'token': 'μ„œμ΄ˆμ†Œλ°©μ„œ', 'start': 0, 'column_index': 3}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE WARD_NM = 'μ„œμ΄ˆμ†Œλ°©μ„œ'
seouldata_climate_668
μœ ν˜• ꡬ뢄λͺ…이 μ†Œλ°©μ„œμΈ 곳의 X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ†Œλ°©μ„œ', 'start': 8, 'column_index': 4}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE TYPE_NM = 'μ†Œλ°©μ„œ'
seouldata_climate_668
μ€‘λž‘μ†Œλ°©μ„œμ˜ X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό λ‚˜νƒ€λ‚΄ 쀘
{'token': 'μ€‘λž‘μ†Œλ°©μ„œ', 'start': 0, 'column_index': 3}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE WARD_NM = 'μ€‘λž‘μ†Œλ°©μ„œ'
seouldata_climate_668
μ†Œλ°©μ„œ 및 μ•ˆμ „ 센터와 κ΅¬μ‘°λŒ€ μœ„μΉ˜μ •λ³΄μ—μ„œ μ„œ 및 μ„Όν„°λͺ…에 μž μ›μ΄ λ“€μ–΄κ°€κ³  μœ ν˜•κ΅¬λΆ„λͺ…이 μ•ˆμ „μ„Όν„° κ΅¬μ‘°λŒ€μΈ 곳의 Xμ’Œν‘œμ™€ Yμ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
{'token': 'μž μ›', 'start': 33, 'column_index': 3}, {'token': 'μ•ˆμ „μ„Όν„° κ΅¬μ‘°λŒ€', 'start': 49, 'column_index': 4}
SELECT NAVI_Y,NAVI_X FROM TB_GI_WARD_P WHERE WARD_NM LIKE 'μž μ›%' AND TYPE_NM = 'μ•ˆμ „μ„Όν„°/κ΅¬μ‘°λŒ€'
seouldata_climate_668
μœ ν˜• ꡬ뢄λͺ…이 μ†Œλ°©μ„œμΈ 곳의 X μ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
{'token': 'μ†Œλ°©μ„œ', 'start': 8, 'column_index': 4}
SELECT NAVI_X FROM TB_GI_WARD_P WHERE TYPE_NM = 'μ†Œλ°©μ„œ'
seouldata_climate_668
μœ ν˜• ꡬ뢄λͺ…별 μ—…μ²΄μ˜ μˆ˜μ™€ μœ ν˜• ꡬ뢄λͺ…을 λ³΄μ—¬μ€˜
SELECT TYPE_NM, COUNT(WARD_NM) FROM TB_GI_WARD_P GROUP BY TYPE_NM
seouldata_climate_668
μœ ν˜•λ³„λ‘œ μ„Όν„°μ˜ μˆ˜μ™€ μœ ν˜•κ΅¬λΆ„λͺ…을 μ•Œλ €μ€˜
SELECT TYPE_NM, COUNT(WARD_ID) FROM TB_GI_WARD_P GROUP BY TYPE_NM
seouldata_climate_668
μœ ν˜• ꡬ뢄λͺ…이 μ†Œλ°©μ„œκ°€ μ•„λ‹Œ μ„Όν„°λͺ…을 λ³΄μ—¬μ€˜
{'token': 'μ†Œλ°©μ„œ', 'start': 8, 'column_index': 4}
SELECT WARD_NM FROM TB_GI_WARD_P WHERE TYPE_NM != 'μ†Œλ°©μ„œ'
seouldata_climate_668
μ˜λ™119μ•ˆμ „μ„Όν„°μ˜ X μ’Œν‘œλ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ˜λ™119μ•ˆμ „μ„Όν„°', 'start': 0, 'column_index': 3}
SELECT NAVI_X FROM TB_GI_WARD_P WHERE WARD_NM = 'μ˜λ™119μ•ˆμ „μ„Όν„°'
seouldata_climate_668
마천119μ•ˆμ „μ„Όν„°μ˜ μœ ν˜• ꡬ뢄λͺ…을 μ°Ύμ•„μ€˜
{'token': '마천119μ•ˆμ „μ„Όν„°', 'start': 0, 'column_index': 3}
SELECT TYPE_NM FROM TB_GI_WARD_P WHERE WARD_NM = '마천119μ•ˆμ „μ„Όν„°'
seouldata_climate_668
μœ ν˜•μ΄ μ†Œλ°©μ„œλ‘œ κ΅¬λΆ„λ˜λŠ” κ΅¬μ‘°λŒ€ μ„œ 및 μ„Όν„° 이름을 λ³΄μ—¬μ€˜
{'token': 'μ†Œλ°©μ„œ', 'start': 4, 'column_index': 4}
SELECT WARD_NM FROM TB_GI_WARD_P WHERE TYPE_NM = 'μ†Œλ°©μ„œ'
seouldata_climate_668
ꡬ뢄에 κ΅¬μ‘°λŒ€κ°€ λ“€μ–΄κ°€λŠ” μ„œ 및 μ„Όν„°μ˜ 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ 쀑볡 없이 μ•Œλ €μ€˜
{'token': 'κ΅¬μ‘°λŒ€', 'start': 4, 'column_index': 4}
SELECT DISTINCT WARD_NM FROM TB_GI_WARD_P WHERE TYPE_NM LIKE '%κ΅¬μ‘°λŒ€%' ORDER BY WARD_NM
seouldata_climate_668
μ„œ 및 μ„Όν„°λͺ…에 μ†Œλ°©μ„œκ°€ λ“€μ–΄κ°€λŠ” κ΅¬μ‘°λŒ€ μœ„μΉ˜μ˜ X μ’Œν‘œμ™€ Y μ’Œν‘œλ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ†Œλ°©μ„œ', 'start': 9, 'column_index': 3}
SELECT NAVI_X, NAVI_Y FROM TB_GI_WARD_P WHERE WARD_NM LIKE '%μ†Œλ°©μ„œ%'
seouldata_climate_1069
μ„œμšΈμ‹œμ˜ 1998λ…„μ—μ„œ 2009λ…„κΉŒμ§€ 연평균 졜고기온 μ’Œν‘œκ³„ WGS1984 μœ„μΉ˜ 정보 쀑 졜고기온이 18도가 λ„˜λŠ” 곳의 μœ„λ„μ™€ 경도λ₯Ό μ•Œλ €μ€˜
{'token': '18', 'start': 56, 'column_index': 5}
SELECT LNG,LAT FROM GEO_INFO_MAX_AVRG_TEMP_YEAR2009_W_G_S WHERE MAX_TEMP >= '18'
seouldata_climate_1069
은평 κ΄€μΈ‘μ†Œμ—μ„œ μΈ‘μ •λœ 1998λ…„λΆ€ν„° 2009λ…„κΉŒμ§€μ˜ 연평균 졜고 κΈ°μ˜¨μ„ μ•Œλ €μ€˜
{'token': '은평', 'start': 0, 'column_index': 3}
SELECT MAX_TEMP FROM GEO_INFO_MAX_AVRG_TEMP_YEAR2009_W_G_S WHERE NAM = '은평'
seouldata_climate_1129
수질 μΈ‘μ • 지점λͺ…별 평균 전기전도도와 수질 μΈ‘μ • 지점λͺ…을 μ°Ύμ•„μ€˜
SELECT ANAL_POINT_NAME, AVG(CD) FROM AREA_QLTWTR_STTUS GROUP BY ANAL_POINT_NAME
seouldata_climate_1129
μ•”μ‚¬μ •μˆ˜μ„Όν„°μ˜ μž”λ₯˜ μ—Όμ†Œμ™€ 탁도λ₯Ό μ•Œλ €μ€˜
{'token': 'μ•”μ‚¬μ •μˆ˜μ„Όν„°', 'start': 0, 'column_index': 3}
SELECT RC, TB FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = 'μ•”μ‚¬μ •μˆ˜μ„Όν„°'
seouldata_climate_1129
μ „κΈ° 전도도가 180이고 PHκ°€ 7인 수질 μΈ‘μ • 지점λͺ…을 μ°Ύμ•„μ€˜
{'token': '180', 'start': 8, 'column_index': 4}, {'token': '7', 'start': 18, 'column_index': 5}
SELECT ANAL_POINT_NAME FROM AREA_QLTWTR_STTUS WHERE CD = 180 AND PH = '7'
seouldata_climate_1129
강동ꡬ μ„±λ‚΄3λ™μ˜ 수질 μ „κΈ° 전도도와 μž”λ₯˜ μ—Όμ†Œκ°€ μ–Όλ§ˆμ•Ό
{'token': '강동ꡬ', 'start': 0, 'column_index': 1}, {'token': 'μ„±λ‚΄3동', 'start': 4, 'column_index': 2}
SELECT CD, RC FROM AREA_QLTWTR_STTUS WHERE GUNAME = '강동ꡬ' AND DONGNAME = 'μ„±λ‚΄3동'
seouldata_climate_1129
μ„œμ΄ˆλ°°μˆ˜μ§€μ˜ 탁도와 μˆ˜μ˜¨μ„ μ•Œλ €μ€˜
{'token': 'μ„œμ΄ˆλ°°μˆ˜μ§€', 'start': 0, 'column_index': 3}
SELECT TB, TE FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = 'μ„œμ΄ˆλ°°μˆ˜μ§€'
seouldata_climate_1129
도곑동 수질의 전기전도도와 μž”λ₯˜μ—Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT CD, RC FROM AREA_QLTWTR_STTUS WHERE DONGNAME LIKE '%도곑%'
seouldata_climate_1129
길동 λ°°μˆ˜μ§€μ—μ„œ μΈ‘μ •ν•œ 수질의 수온과 νƒλ„λŠ” μ–Όλ§ˆμ•Ό
{'token': 'κΈΈλ™λ°°μˆ˜μ§€', 'start': 0, 'column_index': 3}
SELECT TE, TB FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = 'κΈΈλ™λ°°μˆ˜μ§€'
seouldata_climate_1129
λŒ€μΉ˜1동과 도곑1동에 μžˆλŠ” 수질 μΈ‘μ •μ§€μ μ˜ 이름을 μ•Œλ €μ€˜
{'token': 'λŒ€μΉ˜1동', 'start': 0, 'column_index': 2}, {'token': '도곑1동', 'start': 6, 'column_index': 2}
SELECT ANAL_POINT_NAME FROM AREA_QLTWTR_STTUS WHERE DONGNAME = 'λŒ€μΉ˜1동' OR DONGNAME = '도곑1동'
seouldata_climate_1129
수질 μΈ‘μ • 지점 이름이 μžκ³‘μ΄κ±°λ‚˜ μ•”μ‚¬μ •μˆ˜μ„Όν„°μΈ 곳의 탁도가 μ–Όλ§ˆμ•Ό
{'token': '자곑', 'start': 13, 'column_index': 3}, {'token': 'μ•”μ‚¬μ •μˆ˜μ„Όν„°', 'start': 19, 'column_index': 3}
SELECT DISTINCT TB FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = '자곑' OR ANAL_POINT_NAME = 'μ•”μ‚¬μ •μˆ˜μ„Όν„°'
seouldata_climate_1129
개포둜 μ‹œμž‘ν•˜λŠ” λ™μ΄λ‚˜ μ„Έκ³‘λ™μ—μ„œ μΈ‘μ •ν•œ 탁도와 수온이 μ–Όλ§ˆμ•Ό
{'token': '개포', 'start': 0, 'column_index': 2}, {'token': '세곑동', 'start': 13, 'column_index': 2}
SELECT TE, TB FROM AREA_QLTWTR_STTUS WHERE DONGNAME LIKE '개포%' OR DONGNAME = '세곑동'
seouldata_climate_1129
탁도가 0.1을 μ΄ˆκ³Όν•˜λŠ” 수질 μΈ‘μ • 지점λͺ…을 μ•Œλ €μ€˜
{'token': '0.1', 'start': 4, 'column_index': 7}
SELECT DISTINCT ANAL_POINT_NAME FROM AREA_QLTWTR_STTUS WHERE TB > 0.1
seouldata_climate_1129
수온이 27도 이상인 동λͺ…을 λ³΄μ—¬μ€˜
{'token': '27', 'start': 4, 'column_index': 8}
SELECT DONGNAME FROM AREA_QLTWTR_STTUS WHERE TE >= 27
seouldata_climate_1129
수질 μΈ‘μ • 지점λͺ…이 강남인 곳의 μž”λ₯˜ μ—Όμ†Œ 평균을 μ°Ύμ•„μ€˜
{'token': '강남', 'start': 11, 'column_index': 3}
SELECT AVG(RC) FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = '강남'
seouldata_climate_1129
μ‹ μ‚¬λ™μ˜ 수질 μΈ‘μ • 지점 λͺ…을 μ•Œλ €μ€˜
{'token': '신사동', 'start': 0, 'column_index': 2}
SELECT ANAL_POINT_NAME FROM AREA_QLTWTR_STTUS WHERE DONGNAME = '신사동'
seouldata_climate_1129
μ›”κ³„λ°°μˆ˜μ§€μ—μ„œ μΈ‘μ •λœ μž”λ₯˜ μ—Όμ†Œμ˜ 평균값을 μ•Œλ €μ€˜
{'token': 'μ›”κ³„λ°°μˆ˜μ§€', 'start': 0, 'column_index': 3}
SELECT AVG(RC) FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = 'μ›”κ³„λ°°μˆ˜μ§€'
seouldata_climate_1129
λŒ€μΉ˜4λ™μ˜ μˆ˜μ˜¨μ€ μ–Όλ§ˆμ•Ό
{'token': 'λŒ€μΉ˜4동', 'start': 0, 'column_index': 2}
SELECT TE FROM AREA_QLTWTR_STTUS WHERE DONGNAME = 'λŒ€μΉ˜4동'
seouldata_climate_1129
μ„œμ΄ˆ λ°°μˆ˜μ§€μ˜ 전기전도도와 PHλ₯Ό μ°Ύμ•„μ€˜
{'token': 'μ„œμ΄ˆλ°°μˆ˜μ§€', 'start': 0, 'column_index': 3}
SELECT CD, PH FROM AREA_QLTWTR_STTUS WHERE ANAL_POINT_NAME = 'μ„œμ΄ˆλ°°μˆ˜μ§€'
seouldata_climate_1129
동λͺ…이 μ—­μ‚Ό2동인 수질 츑정지점 이름을 μ•Œλ €μ€˜
{'token': 'μ—­μ‚Ό2동', 'start': 4, 'column_index': 2}
SELECT ANAL_POINT_NAME FROM AREA_QLTWTR_STTUS WHERE DONGNAME = 'μ—­μ‚Ό2동'
seouldata_climate_1129
탁도가 0.03μ΄κ±°λ‚˜ 0.04인 곳의 수질 μΈ‘μ • 지점이 어디인지 쀑볡 없이 μ•Œλ €μ€˜
{'token': '0.03', 'start': 4, 'column_index': 7}, {'token': '0.04', 'start': 12, 'column_index': 7}
SELECT DISTINCT ANAL_POINT_NAME FROM AREA_QLTWTR_STTUS WHERE TB = 0.03 OR TB = 0.04
seouldata_climate_1136
μ—¬μ˜λ„ ν•œκ°• κ³΅μ›μ—μ„œ μžμ „κ±°μ™€ μš΄λ™μ‹œμ„€μ˜ 이용객 ν˜„ν™©μ„ μ•Œλ €μ€˜
{'token': 'μ—¬μ˜λ„', 'start': 0, 'column_index': 2}
SELECT BCYCL, SPORTS_FCLTY FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'μ—¬μ˜λ„'
seouldata_climate_1136
μ„œμšΈμ‹œ ν•œκ°•κ³΅μ› 이용객 ν˜„ν™© ν‘œμ—μ„œ 연도가 2011년이며 ꡬ뢄이 λ‚œμ§€μΈ 곳의 μš΄λ™μ‹œμ„€ μ΄μš©κ°μ€ λͺ‡ λͺ…이야
{'token': 'λ‚œμ§€', 'start': 36, 'column_index': 2}, {'token': '2011λ…„', 'start': 24, 'column_index': 1}
SELECT SPORTS_FCLTY FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'λ‚œμ§€' AND YEAR_YY = '2011λ…„'
seouldata_climate_1136
ν•œκ°•κ³΅μ›μ˜ 연도별 일반 이용자 수 평균과 μžμ „κ±° 이용자 수 평균을 λ³΄μ—¬μ€˜
SELECT YEAR_YY, AVG(GNRL), AVG(BCYCL) FROM HANGANG_YEAR_VISIT_STTUS GROUP BY YEAR_YY
seouldata_climate_1136
μž μ‹€μ΄λ‚˜ μ„ μœ λ„μ—μ„œ μžμ „κ±°λ₯Ό μ΄μš©ν•œ μ‚¬λžŒμ€ λͺ‡ λͺ…이야
{'token': 'μž μ‹€', 'start': 0, 'column_index': 2}, {'token': 'μ„ μœ λ„', 'start': 5, 'column_index': 2}
SELECT BCYCL FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'μž μ‹€' OR SE = 'μ„ μœ λ„'
seouldata_climate_1136
λ‚œμ§€λ‚˜ μ„ μœ λ„λ‘œ κ΅¬λΆ„λœ 곳의 일반 이용자 수λ₯Ό μ•Œλ €μ€˜
{'token': 'λ‚œμ§€', 'start': 0, 'column_index': 2}, {'token': 'μ„ μœ λ„', 'start': 4, 'column_index': 2}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'λ‚œμ§€' OR SE = 'μ„ μœ λ„'
seouldata_climate_1136
ꡬ뢄이 λ§μ›μ΄κ±°λ‚˜ κ΄‘λ‚˜λ£¨μΈ ν•œκ°•κ³΅μ›μ˜ 일반 μ΄μš©μžλŠ” μ–Όλ§ˆμ•Ό
{'token': '망원', 'start': 4, 'column_index': 2}, {'token': 'κ΄‘λ‚˜λ£¨', 'start': 10, 'column_index': 2}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = '망원' OR SE = 'κ΄‘λ‚˜λ£¨'
seouldata_climate_1136
2012λ…„ 반포 κ³΅μ›μ˜ 일반 이용자λ₯Ό μ•Œλ €μ€˜
{'token': '2012', 'start': 0, 'column_index': 1}, {'token': '반포', 'start': 6, 'column_index': 2}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE YEAR_YY LIKE '2012%' AND SE = '반포'
seouldata_climate_1136
2013λ…„λ„μ˜ μ—¬μ˜λ„ ν•œκ°•κ³΅μ›μ˜ 일반 이용자λ₯Ό μ•Œλ €μ€˜
{'token': '2013λ…„', 'start': 0, 'column_index': 1}, {'token': 'μ—¬μ˜λ„', 'start': 8, 'column_index': 2}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE YEAR_YY = '2013λ…„' AND SE = 'μ—¬μ˜λ„'
seouldata_climate_1136
ν•œκ°•κ³΅μ› 이용객 ν˜„ν™©μ—μ„œ 연도가 2013년이며 ꡬ뢄은 λšμ„¬μΈ 곳의 일반 μ΄μš©μžλŠ” λͺ‡ λͺ…이야
{'token': '2013λ…„', 'start': 18, 'column_index': 1}, {'token': 'λšμ„¬', 'start': 30, 'column_index': 2}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE YEAR_YY = '2013λ…„' AND SE = 'λšμ„¬'
seouldata_climate_1136
κ°•μ„œλ‚˜ μž μ‹€λ‘œ κ΅¬λΆ„λ˜λŠ” 곳의 μš΄λ™ μ‹œμ„€κ³Ό μžμ „κ±°μ— λŒ€ν•œ 이용객 ν˜„ν™©μ„ 일반 이용자의 μˆ˜κ°€ λ§Žμ€ μˆœλΆ€ν„° λ³΄μ—¬μ€˜
{'token': 'κ°•μ„œ', 'start': 0, 'column_index': 2}, {'token': 'μž μ‹€', 'start': 4, 'column_index': 2}
SELECT SPORTS_FCLTY, BCYCL FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'κ°•μ„œ' OR SE = 'μž μ‹€' ORDER BY GNRL DESC
seouldata_climate_1136
2013λ…„ 일반 μ΄μš©μžλŠ” λͺ‡ λͺ…이야
{'token': '2013λ…„', 'start': 0, 'column_index': 1}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE YEAR_YY = '2013λ…„'
seouldata_climate_1136
κ΄‘λ‚˜λ£¨μ˜ 일반 이용자 수의 합을 λ³΄μ—¬μ€˜
{'token': 'κ΄‘λ‚˜λ£¨', 'start': 0, 'column_index': 2}
SELECT SUM(GNRL) FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'κ΄‘λ‚˜λ£¨'
seouldata_climate_1136
2012년에 μ΄μš©ν•œ μžμ „κ±°μ˜ μˆ˜λŠ” μ–Όλ§ˆμ•Ό
{'token': '2012λ…„', 'start': 0, 'column_index': 1}
SELECT BCYCL FROM HANGANG_YEAR_VISIT_STTUS WHERE YEAR_YY = '2012λ…„'
seouldata_climate_1136
μ—¬μ˜λ„ ν•œκ°•κ³΅μ›μ˜ 일반이용자 μˆ˜κ°€ μ–Όλ§ˆμ•Ό
{'token': 'μ—¬μ˜λ„', 'start': 0, 'column_index': 2}
SELECT GNRL FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'μ—¬μ˜λ„'
seouldata_climate_1136
μž μ›μ΄λ‚˜ 이촌으둜 κ΅¬λΆ„λœ 곳의 일반 μ΄μš©μžκ°€ λ§Žμ€ μˆœλΆ€ν„° 연도λ₯Ό λ³΄μ—¬μ€˜
{'token': 'μž μ›', 'start': 0, 'column_index': 2}, {'token': '이촌', 'start': 5, 'column_index': 2}
SELECT YEAR_YY FROM HANGANG_YEAR_VISIT_STTUS WHERE SE = 'μž μ›' OR SE = '이촌' ORDER BY GNRL DESC
seouldata_climate_1137
2017λ…„ μ„œμšΈμ‹œ ν•œκ°•κ³΅μ› 총 이용객이 1000000λͺ… 이상이고 μš΄λ™μ‹œμ„€ 이용객이 220000λͺ… 이상인 월은 μ–Έμ œλ‹ˆ
{'token': '1000000', 'start': 22, 'column_index': 9}, {'token': '220000', 'start': 46, 'column_index': 4}
SELECT MNBY FROM HANGANG_MNBY_VISIT_STTUS WHERE SM >= 1000000 AND SPORTS_FCLTY >= 220000
seouldata_climate_1137
κ΄‘λ‚˜λ£¨μ˜ 2μ›” μ£Όμš” 행사 및 λ§ˆλΌν†€ μ΄μš©μžλŠ” μ–Όλ§ˆμ•Ό
{'token': 'κ΄‘λ‚˜λ£¨', 'start': 0, 'column_index': 2}, {'token': '2μ›”', 'start': 5, 'column_index': 1}
SELECT EVENT_MARATHON FROM HANGANG_MNBY_VISIT_STTUS WHERE SE = 'κ΄‘λ‚˜λ£¨' AND MNBY = '2μ›”'
seouldata_climate_1137
일반 μ΄μš©μžκ°€ 100000 이상이고 μš΄λ™μ‹œμ„€μ΄ 20000 이상인 곳의 μ›”κ³Ό ꡬ뢄이 뭐야
{'token': '100000', 'start': 8, 'column_index': 3}, {'token': '20000', 'start': 26, 'column_index': 4}
SELECT SE, MNBY FROM HANGANG_MNBY_VISIT_STTUS WHERE GNRL >= 100000 AND SPORTS_FCLTY >= 20000
seouldata_climate_1137
1μ›”κ³Ό 2μ›”μ˜ μš΄λ™ μ‹œμ„€ 이용객 ν˜„ν™©μ„ 쀑볡 없이 λ³΄μ—¬μ€˜
{'token': '1μ›”', 'start': 0, 'column_index': 1}, {'token': '2μ›”', 'start': 4, 'column_index': 1}
SELECT DISTINCT SPORTS_FCLTY FROM HANGANG_MNBY_VISIT_STTUS WHERE MNBY = '1μ›”' OR MNBY = '2μ›”'