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publicdata_publicadministration_431
κ°€ν•΄μž μ°¨λŸ‰μ΄ 이λ₯œμ°¨μΈ μ‚¬κ³ κ±΄μˆ˜λ₯Ό μ°Ύμ•„μ€˜
SELECT NUMBER_ACCIDENTS FROM TRAFFIC_ACCIDENT_STS_PERPETRATORS_ROAD_TYPE_KOROAD WHERE PERPETRATOR_CAR_TYPE = '이λ₯œμ°¨'
publicdata_publicadministration_431
κ°€ν•΄μž 차쒅이 μŠΉμš©μ°¨μ΄λ©΄μ„œ 사고 κ±΄μˆ˜κ°€ 1000건 이상인 μ°¨μ’…μ˜ μ‚¬λ§μž 수 합계와 μ€‘μƒμž 수 합계λ₯Ό λ³΄μ—¬μ€˜
SELECT SUM(NUMBER_SERIOUS_INJURIES), SUM(DEATH_TOLL) FROM TRAFFIC_ACCIDENT_STS_PERPETRATORS_ROAD_TYPE_KOROAD WHERE PERPETRATOR_CAR_TYPE = '승용차' AND NUMBER_ACCIDENTS >= 1000
publicdata_publicadministration_431
λ„λ‘œ μ’…λ₯˜λ³„λ‘œ κ°€ν•΄μž 차쒅에 기계가 λ“€μ–΄κ°€λŠ” μ‚¬κ³ μ˜ 건수 총합과 λ„λ‘œ μ’…λ₯˜λ₯Ό μ•Œλ €μ€˜
SELECT ROAD_TYPE, SUM(NUMBER_ACCIDENTS) FROM TRAFFIC_ACCIDENT_STS_PERPETRATORS_ROAD_TYPE_KOROAD WHERE PERPETRATOR_CAR_TYPE LIKE '%기계%' GROUP BY ROAD_TYPE
publicdata_publicadministration_431
λ„λ‘œ μ’…λ₯˜λ³„λ‘œ 평균 μ‚¬λ§μž μˆ˜κ°€ 10λͺ… 이상인 ꡐ톡사고 쀑 κ°€ν•΄μž 차쒅이 승용차인 사고 건수의 합계λ₯Ό λ„λ‘œ μ’…λ₯˜μ™€ ν•¨κ»˜ λ³΄μ—¬μ€˜
SELECT ROAD_TYPE, SUM(NUMBER_ACCIDENTS) FROM TRAFFIC_ACCIDENT_STS_PERPETRATORS_ROAD_TYPE_KOROAD WHERE PERPETRATOR_CAR_TYPE = '승용차' GROUP BY ROAD_TYPE HAVING AVG(DEATH_TOLL) >= 10
publicdata_publicadministration_431
μ‚¬λ§μž μˆ˜κ°€ 3λͺ… μ΄ν•˜μ΄κ±°λ‚˜ κ°€ν•΄μž 차쒅이 농기계 및 μžμ „κ±°μΈ ꡐ톡사고 건수의 합계λ₯Ό μ•Œλ €μ€˜
SELECT SUM(NUMBER_ACCIDENTS) FROM TRAFFIC_ACCIDENT_STS_PERPETRATORS_ROAD_TYPE_KOROAD WHERE PERPETRATOR_CAR_TYPE = '농기계' OR PERPETRATOR_CAR_TYPE = 'μžμ „κ±°' OR DEATH_TOLL <= 3
publicdata_publicadministration_442
λ°œμƒμ›”λ³„ μ‚¬λ§μž 수의 합계와 λ°œμƒμ›”μ„ λ‚˜νƒ€λ‚΄μ€˜
SELECT DATE_OCCURRENCE, SUM(DEATH_TOLL) FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD GROUP BY DATE_OCCURRENCE
publicdata_publicadministration_442
λ„λ‘œ μ’…λ₯˜μ— μ‹œλ„κ°€ λ“€μ–΄κ°€κ±°λ‚˜ 뢀상 μ‹ κ³ μž μˆ˜κ°€ 500λͺ… 이상인 ꡐ톡사고 톡계 쀑 사고 κ±΄μˆ˜μ™€ μ‚¬λ§μž 수λ₯Ό λ³΄μ—¬μ€˜
SELECT NUMBER_ACCIDENTS, DEATH_TOLL FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE ROAD_TYPE LIKE '%μ‹œλ„%' OR NUMBER_INJURIES_REPORTED >= 500
publicdata_publicadministration_442
일반 κ΅­λ„μ˜ 평균 μ‚¬λ§μž μˆ˜λŠ” μ–Όλ§ˆμ•Ό
SELECT AVG(DEATH_TOLL) FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE ROAD_TYPE = 'μΌλ°˜κ΅­λ„'
publicdata_publicadministration_442
11월에 λ°œμƒν•œ 사고 건수의 합계λ₯Ό μ•Œλ €μ€˜
SELECT SUM(NUMBER_ACCIDENTS) FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE DATE_OCCURRENCE = 11
publicdata_publicadministration_442
사고 κ±΄μˆ˜κ°€ 500이 λ„˜λŠ” μ§€λ°©λ„μ˜ μ€‘μƒμž 수λ₯Ό μ•Œλ €μ€˜
SELECT NUMBER_SERIOUS_INJURIES FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE NUMBER_ACCIDENTS >= 500 AND ROAD_TYPE = '지방도'
publicdata_publicadministration_442
μΌλ°˜κ΅­λ„μ—μ„œ λ°œμƒν•œ 사고 건수 합계와 평균을 λ³΄μ—¬μ€˜
SELECT AVG(NUMBER_ACCIDENTS), SUM(NUMBER_ACCIDENTS) FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE ROAD_TYPE = 'μΌλ°˜κ΅­λ„'
publicdata_publicadministration_442
λ°œμƒμ›”λ³„ λΆ€μƒμ‹ κ³ μžκ°€ 100 μ΄ν•˜μΈ κ³³ 쀑 λ„λ‘œ μ’…λ₯˜ 상 일반 κ΅­λ„μ˜ 졜고 μ‚¬λ§μžμˆ˜λŠ” λͺ‡ λͺ…인지 λ°œμƒμ›”κ³Ό ν•¨κ»˜ μ•Œλ €μ€˜
SELECT DATE_OCCURRENCE, MAX(DEATH_TOLL) FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE ROAD_TYPE = 'μΌλ°˜κ΅­λ„' GROUP BY DATE_OCCURRENCE HAVING AVG(NUMBER_INJURIES_REPORTED) <= 100
publicdata_publicadministration_442
뢀상 μ‹ κ³ μž μˆ˜κ°€ 150λͺ… μ΄μƒμ΄κ±°λ‚˜ κ²½μƒμž μˆ˜κ°€ 2000λͺ… μ΄μƒμ΄κ±°λ‚˜ μ€‘μƒμž μˆ˜κ°€ 1500λͺ… 이상인 ꡐ톡사고가 λ°œμƒν•œ 월은 μ–Έμ œμ•Ό
SELECT DATE_OCCURRENCE FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE NUMBER_INJURIES_REPORTED >= 150 OR NUMBER_ORDINARY_PEOPLE >= 2000 OR NUMBER_SERIOUS_INJURIES >= 1500
publicdata_publicadministration_442
κ²½μƒμž μˆ˜κ°€ 2000λͺ… μ΄μƒμ΄κ±°λ‚˜ 사고 κ±΄μˆ˜κ°€ 5000건 이상인 ν†΅κ³„μ˜ λ„λ‘œ μ’…λ₯˜μ™€ λ°œμƒ 월을 뢀상 μ‹ κ³ μž μˆ˜κ°€ λ§Žμ€ 순으둜 μ•Œλ €μ€˜
SELECT ROAD_TYPE, DATE_OCCURRENCE FROM MONTHLY_TRAFFIC_ACCIDENTS_STS_ROAD_TYPE_KOROAD WHERE NUMBER_ACCIDENTS >= 5000 OR NUMBER_ORDINARY_PEOPLE >= 2000 ORDER BY NUMBER_INJURIES_REPORTED DESC
publicdata_publicadministration_470
μ„ΈλŒ€μˆ˜κ°€ 100 이상인 μ•„νŒŒνŠΈμ˜ 이름과 μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT APARTMENT_NAME, MATERIAL_MAP_NAME_ADDRESS FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE HOUSEHOLD >= 100
publicdata_publicadministration_470
μ΄ν™”λ§¨μ…˜κ³Ό 동λͺ…μ•„νŒŒνŠΈμ˜ μ‚¬μš© 승인 일자λ₯Ό λ³΄μ—¬μ€˜
SELECT USE_APPROVAL_DATE FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE APARTMENT_NAME = '동λͺ…μ•„νŒŒνŠΈ' OR APARTMENT_NAME = 'μ΄ν™”λ§¨μ…˜'
publicdata_publicadministration_470
μ‚¬μš© 승인 μΌμžκ°€ 1983년인 κ³΅λ™μ£Όνƒμ˜ μ„ΈλŒ€ 수λ₯Ό μ°Ύμ•„μ€˜
SELECT HOUSEHOLD FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE USE_APPROVAL_DATE LIKE '1983%'
publicdata_publicadministration_470
μ‚¬μš© 승인 μΌμžκ°€ 2018년이며 νƒœλ΄‰κΈΈμ— μžˆλŠ” μ•„νŒŒνŠΈμ˜ 이름은 뭐야
SELECT APARTMENT_NAME FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE MATERIAL_MAP_NAME_ADDRESS LIKE '%νƒœλ΄‰κΈΈ%' AND USE_APPROVAL_DATE LIKE '2018%'
publicdata_publicadministration_470
μ•„νŒŒνŠΈλͺ…이 λ§¨μ…˜μœΌλ‘œ λλ‚˜κ³  1984년에 μ‚¬μš© 승인된 κ³΅λ™μ£Όνƒμ˜ μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT MATERIAL_MAP_NAME_ADDRESS FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE APARTMENT_NAME LIKE '%λ§¨μ…˜' AND USE_APPROVAL_DATE LIKE '1984%'
publicdata_publicadministration_470
μ‚¬μš© 승인 μΌμžκ°€ 1981년인 μ•„νŒŒνŠΈμ˜ 이름을 κ°€λ‚˜λ‹€ 순으둜 μ •λ ¬ν•΄μ€˜
SELECT APARTMENT_NAME FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE USE_APPROVAL_DATE LIKE '1981%' ORDER BY APARTMENT_NAME
publicdata_publicadministration_470
μ„ΈλŒ€ μˆ˜κ°€ 500μ„ΈλŒ€ 이상인 μ•„νŒŒνŠΈμ˜ μ‚¬μš© 승인 일자λ₯Ό μ°Ύμ•„μ€˜
SELECT USE_APPROVAL_DATE FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE HOUSEHOLD >= 500
publicdata_publicadministration_470
μ‚°μˆ˜λ§¨μ…˜μ˜ 총 μ„ΈλŒ€μˆ˜λ₯Ό λ³΄μ—¬μ€˜
SELECT HOUSEHOLD FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE APARTMENT_NAME = 'μ‚°μˆ˜λ§¨μ…˜'
publicdata_publicadministration_470
μ΄ν™”μ•„νŒŒνŠΈμ˜ μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT MATERIAL_MAP_NAME_ADDRESS FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE APARTMENT_NAME = 'μ΄ν™”μ•„νŒŒνŠΈ'
publicdata_publicadministration_470
μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œμ— μ€‘μ•™λ‘œκ°€ λ“€μ–΄κ°€κ±°λ‚˜ 100μ„ΈλŒ€ μ΄ν•˜μΈ μ•„νŒŒνŠΈμ˜ 이름을 μ°Ύμ•„μ€˜
SELECT APARTMENT_NAME FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE MATERIAL_MAP_NAME_ADDRESS LIKE '%μ€‘μ•™λ‘œ%' OR HOUSEHOLD <= 100
publicdata_publicadministration_470
μ•„νŒŒνŠΈλͺ…에 λ§¨μ…˜μ΄ λ“€μ–΄κ°€λ©΄μ„œ μ†Œμž¬μ§€ λ„λ‘œλͺ… μ£Όμ†Œμ— μ€‘μ•™λ‘œκ°€ λ“€μ–΄κ°€λŠ” 곳의 μ‚¬μš© 승인 μΌμžλŠ” μ–Έμ œμ•Ό
SELECT USE_APPROVAL_DATE FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE APARTMENT_NAME LIKE '%λ§¨μ…˜%' AND MATERIAL_MAP_NAME_ADDRESS LIKE '%μ€‘μ•™λ‘œ%'
publicdata_publicadministration_470
λ°€μ‹€λ‘œμ— 있고 λͺ…칭이 λ§¨μ…˜μœΌλ‘œ λλ‚˜λŠ” μ•„νŒŒνŠΈμ˜ μ„ΈλŒ€μˆ˜λ₯Ό μ•Œλ €μ€˜
SELECT HOUSEHOLD FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE APARTMENT_NAME LIKE '%λ§¨μ…˜' AND MATERIAL_MAP_NAME_ADDRESS LIKE '%λ°€μ‹€λ‘œ%'
publicdata_publicadministration_470
관리 μ‚¬λ¬΄μ†Œ 전화에 222κ°€ λ“€μ–΄κ°€κ±°λ‚˜ 100μ„ΈλŒ€ 이상인 μ•„νŒŒνŠΈμ˜ 이름을 μ•Œλ €μ€˜
SELECT APARTMENT_NAME FROM CURRENT_STS_APT_HOUSES_DONG_GU_GWANGJU WHERE MANAGEMENT_OFFICE_PHONE LIKE '%222%' OR HOUSEHOLD >= 100
publicdata_publicadministration_520
μ‹œμž‘μΌκ³Ό μ’…λ£ŒμΌμ„ λ³΄μ—¬μ€˜
SELECT START_DATE, END_DATE FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT
publicdata_publicadministration_520
이름이 ꡭ방으둜 μ‹œμž‘ν•˜λŠ” μ—…μ²΄μ˜ κΈ‰μ—¬λ₯Ό 쀑볡 없이 λ³΄μ—¬μ€˜
SELECT DISTINCT PAY FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE COMPANY_NAME LIKE 'κ΅­λ°©%'
publicdata_publicadministration_520
이름이 λŒ€ν¬λ‘œ μ‹œμž‘ν•˜λŠ” μ—…μ²΄μ˜ 지역과 κΈ‰μ—¬λ₯Ό λ³΄μ—¬μ€˜
SELECT REGION, PAY FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE COMPANY_NAME LIKE 'λŒ€ν¬%'
publicdata_publicadministration_520
업체λͺ…이 ν₯μ „μœΌλ‘œ μ‹œμž‘ν•˜λ©° λ‚΄μš©μ— μ²­μ†Œκ°€ λ“€μ–΄κ°€λŠ” μ±„μš© μ •λ³΄μ˜ κΈ‰μ—¬λ₯Ό μ•Œλ €μ€˜
SELECT PAY FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE COMPANY_NAME LIKE 'ν₯μ „%' AND CONTENTS LIKE '%μ²­μ†Œ%'
publicdata_publicadministration_520
νŠΉμ΄μ‚¬ν•­μ΄ μ±„μš©μ‹œκΉŒμ§€μΈ 곡고의 업체λͺ…을 μ°Ύμ•„μ€˜
SELECT COMPANY_NAME FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE UNIQUENESS = 'μ±„μš©μ‹œκΉŒμ§€'
publicdata_publicadministration_520
특이 사항이 기간인 μ±„μš© μ •λ³΄μ˜ 근무 지역을 μ•Œλ €μ€˜
SELECT REGION FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE UNIQUENESS = 'κΈ°κ°„'
publicdata_publicadministration_520
μ–‘κ΅¬κ΅°μ²­μ˜ μ±„μš©κ³΅κ³ κ°€ μžˆλŠ” 지역은 μ–΄λ””μ•Ό
SELECT REGION FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE COMPANY_NAME = '양ꡬꡰ청'
publicdata_publicadministration_520
λ‚΄μš©μ— 곡무원이 λ“€μ–΄κ°€λŠ” μ±„μš© μ •λ³΄μ˜ 업체λͺ…을 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
SELECT COMPANY_NAME FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE CONTENTS LIKE '%곡무원%' ORDER BY COMPANY_NAME DESC
publicdata_publicadministration_520
지역이 강원이고 λ‚΄μš©μ— μš”μ›μ΄ λ“€μ–΄κ°€λŠ” μ±„μš©μ •λ³΄μ˜ λ‚΄μš©κ³Ό 업체 이름을 λ‚΄μš© κΈ°μ€€ κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜νƒ€λ‚΄μ€˜
SELECT COMPANY_NAME, CONTENTS FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE CONTENTS LIKE '%μš”μ›%' AND REGION = '강원' ORDER BY CONTENTS
publicdata_publicadministration_520
지역이 강원인 μ—…μ²΄μ˜ 이름을 λ³΄μ—¬μ€˜
SELECT COMPANY_NAME FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE REGION = '강원'
publicdata_publicadministration_520
삼신상사 μ±„μš©μ˜ μ‹œμž‘μΌκ³Ό μ’…λ£ŒμΌμ„ λ³΄μ—¬μ€˜
SELECT START_DATE, END_DATE FROM RECRUITMENT_INFO_MPVA_DISCHARGED_MILITARY_SU_CNT WHERE COMPANY_NAME LIKE '%삼신상사%'
publicdata_publicadministration_1843
μ‹œκ΅°κ΅¬λͺ…이 μ΄μ²œμ‹œμΈ 곳의 읍면λͺ…을 κ²ΉμΉ˜μ§€ μ•Šκ²Œ κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
SELECT DISTINCT NAME_TOWN FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE NAME_CITY_AND_COUNTY = 'μ΄μ²œμ‹œ' ORDER BY NAME_TOWN
publicdata_publicadministration_1843
μš°νŽΈλ²ˆν˜Έκ°€ 863으둜 λλ‚˜λŠ” 동λͺ…을 λ³΄μ—¬μ€˜
SELECT SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE POSTAL_CODE LIKE '%863'
publicdata_publicadministration_1843
μš°νŽΈλ²ˆν˜Έκ°€ 864둜 λλ‚˜λŠ” 곳의 좜λ ₯동 이름을 λ‚˜νƒ€λ‚΄μ€˜
SELECT OUTPUT_SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE POSTAL_CODE LIKE '%864'
publicdata_publicadministration_1843
읍면이 μœ¨λ©΄μ΄κ±°λ‚˜ 동λͺ…에 학동이 λ“€μ–΄κ°€λŠ” 곳의 우편번호λ₯Ό μ•Œλ €μ€˜
SELECT POSTAL_CODE FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE NAME_TOWN = '율면' OR SAME_NAME LIKE '%학동%'
publicdata_publicadministration_1843
μ‹œκ΅°κ΅¬λͺ…이 μ•ˆμ„±μ‹œμΈ 곳의 동λͺ…을 λ³΄μ—¬μ€˜
SELECT SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE NAME_CITY_AND_COUNTY = 'μ•ˆμ„±μ‹œ'
publicdata_publicadministration_1843
좜λ ₯동λͺ…이 μ œμš”λ¦¬μΈ μœ„μ›νšŒμ˜ μˆ˜μ •μΌμžλŠ” μ–Έμ œμ•Ό
SELECT CORRECTION_DATE FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE OUTPUT_SAME_NAME = 'μ œμš”λ¦¬'
publicdata_publicadministration_1843
읍면λͺ…이 μ„€μ„±λ©΄μ΄κ±°λ‚˜ 율면인 곳의 좜λ ₯동λͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
SELECT OUTPUT_SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE NAME_TOWN = '율면' OR NAME_TOWN = 'μ„€μ„±λ©΄' ORDER BY OUTPUT_SAME_NAME
publicdata_publicadministration_1843
좜λ ₯동λͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ •λ ¬ν•΄μ„œ μš°νŽΈλ²ˆν˜Έκ°€ 4둜 μ‹œμž‘ν•˜λŠ” 곳의 이전동 이름과 좜λ ₯동 이름을 λ‚˜νƒ€λ‚΄μ€˜
SELECT OUTPUT_SAME_NAME, PREVIOUS_SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE POSTAL_CODE LIKE '4%' ORDER BY OUTPUT_SAME_NAME
publicdata_publicadministration_1843
μ‹œλ„λͺ…이 κ²½κΈ°λ„μ΄κ±°λ‚˜ μ‹œκ΅°κ΅¬λͺ…이 μ‹œν₯μ‹œμΈ 곳의 동λͺ…을 쀑볡 없이 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ°Ύμ•„μ€˜
SELECT DISTINCT SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE CITY_AND_PROVINCIAL_NAMES = '경기도' OR NAME_CITY_AND_COUNTY = 'μ‹œν₯μ‹œ' ORDER BY SAME_NAME
publicdata_publicadministration_1843
μš°νŽΈλ²ˆν˜Έκ°€ 4둜 λλ‚˜κ±°λ‚˜ 읍면λͺ…이 μˆ˜μ§€λ©΄μΈ μœ„μ›νšŒμ˜ 좜λ ₯동λͺ…을 μ•Œλ €μ€˜
SELECT OUTPUT_SAME_NAME FROM MOLIT_OCLT_BEOPJEONG_DONG WHERE POSTAL_CODE LIKE '%4' OR NAME_TOWN = 'μˆ˜μ§€λ©΄'
publicdata_publicadministration_262
자료 ꡬ뢄이 기술 μ—°κ΅¬μ΄κ±°λ‚˜ 사업 ꡬ뢄이 κ΅λŸ‰μΈ 자료의 등둝 연도λ₯Ό λ³΄μ—¬μ€˜
SELECT REGISTRATION_YEAR FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE DATA_CLASSIFICATION = 'κΈ°μˆ μ—°κ΅¬' OR BUSINESS_CLASSIFICATION = 'κ΅λŸ‰'
publicdata_publicadministration_262
개발이 λ“€μ–΄κ°€λŠ” 자료λͺ…μ˜ μˆ˜ν–‰ 기간은 μ–Έμ œμ•Ό
SELECT PERFORMANCE_PERIOD FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE MATERIAL_NAME LIKE '%개발%'
publicdata_publicadministration_262
자료 ꡬ뢄이 기술 μ—°κ΅¬μ΄κ±°λ‚˜ 사업 ꡬ뢄이 수리 μ‹œμ„€μΈ 자료λͺ…을 μ•Œλ €μ€˜
SELECT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE DATA_CLASSIFICATION = 'κΈ°μˆ μ—°κ΅¬' OR BUSINESS_CLASSIFICATION = 'μˆ˜λ¦¬μ‹œμ„€'
publicdata_publicadministration_262
연ꡬ λ³΄κ³ μ„œ 등둝 연도가 2007년인 자료λͺ…은 뭐야
SELECT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE REGISTRATION_YEAR = 2007
publicdata_publicadministration_262
등둝 연도가 2016년인 자료의 이름을 쀑볡 없이 μ•Œλ €μ€˜
SELECT DISTINCT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE REGISTRATION_YEAR = 2016
publicdata_publicadministration_262
2020년에 λ“±λ‘λœ 자료의 이름은 뭐야
SELECT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE REGISTRATION_YEAR = 2020
publicdata_publicadministration_262
자료λͺ…에 낙석이 λ“€μ–΄κ°€κ±°λ‚˜ μˆ˜λ¦¬μ‹œμ„€λ‘œ κ΅¬λΆ„λœ μ‚¬μ—…μ˜ μˆ˜ν–‰ 기간을 μ•Œλ €μ€˜
SELECT PERFORMANCE_PERIOD FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE MATERIAL_NAME LIKE '%낙석%' OR BUSINESS_CLASSIFICATION = 'μˆ˜λ¦¬μ‹œμ„€'
publicdata_publicadministration_262
사업 ꡬ뢄이 κ±΄μΆ•μ΄κ±°λ‚˜ 이름에 댐이 λ“€μ–΄κ°€λŠ” 자료λ₯Ό μ°Ύμ•„μ€˜
SELECT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE BUSINESS_CLASSIFICATION = '건좕' OR MATERIAL_NAME LIKE '%댐%'
publicdata_publicadministration_262
사업 ꡬ뢄이 κ΅λŸ‰μ΄λ‚˜ 터널인 λ°œκ°„ λͺ©λ‘ μ •λ³΄μ˜ 자료λͺ…을 등둝 연도가 였래된 순으둜 μ •λ ¬ν•΄μ„œ λ³΄μ—¬μ€˜
SELECT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE BUSINESS_CLASSIFICATION = 'κ΅λŸ‰' OR BUSINESS_CLASSIFICATION = '터널' ORDER BY REGISTRATION_YEAR
publicdata_publicadministration_262
등둝 μ—°λ„λ³„λ‘œ 사업 ꡬ뢄이 곡톡인 자료의 μˆ˜μ™€ 등둝 연도λ₯Ό 등둝 연도가 였래된 μˆœμ„œλŒ€λ‘œ λ‚˜μ—΄ν•΄μ€˜
SELECT REGISTRATION_YEAR, COUNT(DISTINCT MATERIAL_NAME) FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE BUSINESS_CLASSIFICATION = '곡톡' GROUP BY REGISTRATION_YEAR ORDER BY REGISTRATION_YEAR
publicdata_publicadministration_262
사업 ꡬ뢄이 수리둜 μ‹œμž‘ν•˜κ±°λ‚˜ 등둝 연도가 2019년인 λ°œκ°„λ¬Όμ˜ 자료λͺ…을 μ•Œλ €μ€˜
SELECT MATERIAL_NAME FROM LIST_PATIONS_KALIS_RESEARCH_REPORTS_ETC WHERE REGISTRATION_YEAR = 2019 OR BUSINESS_CLASSIFICATION LIKE '수리%'
publicdata_publicadministration_1143
μΌμžλ³„λ‘œ μ„€μΉ˜λœ κ°€λ‘œλ“± 수의 ν•©κ³Ό μ„€μΉ˜ 일자λ₯Ό μ•Œλ €μ€˜
SELECT INSTALLATION_DATE, SUM(TOTAL_NUMBER) FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL GROUP BY INSTALLATION_DATE
publicdata_publicadministration_1143
λŒ€λ°©λ™ 501에 μžˆλŠ” κ°€λ‘œλ“±μ˜ λ“±μ£Ό ν˜•νƒœμ™€ 총 λ“± 수λ₯Ό μ°Ύμ•„μ€˜
SELECT LANTERN, TOTAL_NUMBER FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE ADDRESS = 'λŒ€λ°©λ™ 501'
publicdata_publicadministration_1143
2016년에 μ„€μΉ˜ν•œ 철제주 κ°€λ‘œλ“±μ˜ μ΄λ“±μˆ˜ μ΅œλŒ“κ°’κ³Ό μ΅œμ†Ÿκ°’μ€ μ–Όλ§ˆμ•Ό
SELECT MAX(TOTAL_NUMBER), MIN(TOTAL_NUMBER) FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE INSTALLATION_DATE LIKE '2016%' AND LANTERN = '철제주'
publicdata_publicadministration_1143
λ“±μ£Ό ν˜•νƒœκ°€ 철제주인 κ°€λ‘œλ“±μ˜ λ“± 수 합계λ₯Ό λ³΄μ—¬μ€˜
SELECT SUM(TOTAL_NUMBER) FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE LANTERN = '철제주'
publicdata_publicadministration_1143
μ§€λ²ˆ μ£Όμ†Œκ°€ λŒ€λ°©λ™ 501인 κ°€λ‘œλ“±μ˜ μ„€μΉ˜ μΌμžκ°€ μ–Έμ œμΈμ§€ 쀑볡 없이 λ³΄μ—¬μ€˜
SELECT DISTINCT INSTALLATION_DATE FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE ADDRESS = 'λŒ€λ°©λ™ 501'
publicdata_publicadministration_1143
λž¨ν”„ μ’…λ₯˜μ— LEDλ₯Ό ν¬ν•¨ν•˜κ±°λ‚˜ λ“±μ£Ό ν˜•νƒœκ°€ ν•œμ „μ£ΌμΈ κ°€λ‘œλ“±μ˜ μ§€λ²ˆ μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT ADDRESS FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE LAMP_TYPE LIKE '%LED%' OR LANTERN = 'ν•œμ „μ£Ό'
publicdata_publicadministration_1143
ν‘œμ°° λ²ˆν˜Έκ°€ λŒ€λ°©μœΌλ‘œ μ‹œμž‘ν•˜κ±°λ‚˜ λ“±μ£Ό ν˜•νƒœκ°€ 철제주인 κ°€λ‘œλ“±μ˜ μ§€λ²ˆ μ£Όμ†Œλ₯Ό λ³΄μ—¬μ€˜
SELECT ADDRESS FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE LABEL_NUMBER LIKE 'λŒ€λ°©%' OR LANTERN = '철제주'
publicdata_publicadministration_1143
μ§€λ²ˆ μ£Όμ†Œκ°€ 4둜 λλ‚˜λ©° ν‘œμ°° λ²ˆν˜Έκ°€ λŒ€λ¦ΌμœΌλ‘œ μ‹œμž‘ν•˜λŠ” κ°€λ‘œλ“±μ˜ λž¨ν”„ μ’…λ₯˜λ₯Ό μ•Œλ €μ€˜
SELECT LAMP_TYPE FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE ADDRESS LIKE '%4' AND LABEL_NUMBER LIKE 'λŒ€λ¦Ό%'
publicdata_publicadministration_1143
ν˜•νƒœκ°€ 철제주인 λ“±μ£Όμ˜ μ„€μΉ˜ 일자λ₯Ό 쀑볡 없이 λ³΄μ—¬μ€˜
SELECT DISTINCT INSTALLATION_DATE FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE LANTERN = '철제주'
publicdata_publicadministration_1143
μ§€λ²ˆ μ£Όμ†Œμ— λŒ€λ°©λ™μ΄ λ“€μ–΄κ°€λ©΄μ„œ 총 λ“± μˆ˜κ°€ 3개 이상인 κ°€λ‘œλ“±μ˜ μ„€μΉ˜ 일자λ₯Ό 졜근인 μˆœμ„œλŒ€λ‘œ λ‚˜νƒ€λ‚΄μ€˜
SELECT INSTALLATION_DATE FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE ADDRESS LIKE '%λŒ€λ°©λ™%' AND TOTAL_NUMBER >= 3 ORDER BY INSTALLATION_DATE DESC
publicdata_publicadministration_1143
λ“±μ£Ό ν˜•νƒœμ— νŒ”κ°μ΄ λ“€μ–΄κ°€κ±°λ‚˜ λž¨ν”„ μ’…λ₯˜κ°€ λ©”νƒˆλ“±μΈ κ°€λ‘œλ“±μ΄ μžˆλŠ” 곳의 μ§€λ²ˆ μ£Όμ†Œλ₯Ό 쀑볡 없이 μ•Œλ €μ€˜
SELECT DISTINCT ADDRESS FROM STS_STREETLAMP_I_DONGJAK_GU_SEOUL WHERE LAMP_TYPE = 'λ©”νƒˆλ“±' OR LANTERN LIKE '%νŒ”κ°%'
publicdata_publicadministration_1134
μ•„νŒŒνŠΈ 이름에 λž˜λ―Έμ•ˆμ΄ λ“€μ–΄κ°€λŠ” 곳의 λ„λ‘œλͺ… μ£Όμ†ŒλŠ” μ–΄λ””μ•Ό
SELECT STREET_NAME_ADDRESS FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE APARTMENT_NAME LIKE '%λž˜λ―Έμ•ˆ%'
publicdata_publicadministration_1134
μƒλ„λ‘œμ— μžˆλŠ” κ΄€λ¦¬μ‚¬λ¬΄μ†Œμ˜ μ•„νŒŒνŠΈ 이름과 λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
SELECT APARTMENT_NAME, STREET_NAME_ADDRESS FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE STREET_NAME_ADDRESS LIKE 'μƒλ„λ‘œ%'
publicdata_publicadministration_1134
λ„λ‘œλͺ… μ£Όμ†Œμ— λ§€λ΄‰λ‘œκ°€ λ“€μ–΄κ°€λŠ” μ•„νŒŒνŠΈμ˜ 이름과 관리 μ‚¬λ¬΄μ†Œ μ „ν™”λ²ˆν˜Έλ₯Ό λ³΄μ—¬μ€˜
SELECT APARTMENT_NAME, PHONE_NUMBER FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE STREET_NAME_ADDRESS LIKE '%λ§€λ΄‰λ‘œ%'
publicdata_publicadministration_1134
λž˜λ―Έμ•ˆ 트윈파크의 λ„λ‘œλͺ… μ£Όμ†ŒλŠ” 뭐야
SELECT STREET_NAME_ADDRESS FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE APARTMENT_NAME = 'λž˜λ―Έμ•ˆ 트윈파크'
publicdata_publicadministration_1134
μ•„νŒŒνŠΈ 이름에 ν˜„λŒ€κ°€ λ“€μ–΄κ°€κ³  νŒ©μŠ€λ²ˆν˜Έκ°€ 02둜 μ‹œμž‘ν•˜λŠ” κ΄€λ¦¬μ‚¬λ¬΄μ†Œμ˜ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
SELECT STREET_NAME_ADDRESS FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE APARTMENT_NAME LIKE '%ν˜„λŒ€%' AND FAX_NUMBER LIKE '02%'
publicdata_publicadministration_1134
μ•„νŒŒνŠΈλͺ…κ³Ό λ„λ‘œλͺ… μ£Όμ†Œμ— 상도가 λ“€μ–΄κ°€λŠ” 곳의 μ „ν™”λ²ˆν˜Έκ°€ 뭐야
SELECT PHONE_NUMBER FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE APARTMENT_NAME LIKE '%상도%' AND STREET_NAME_ADDRESS LIKE '%상도%'
publicdata_publicadministration_1134
팩슀 λ²ˆν˜Έκ°€ 9둜 λλ‚˜λŠ” 곳의 λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
SELECT STREET_NAME_ADDRESS FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE FAX_NUMBER LIKE '%9' ORDER BY STREET_NAME_ADDRESS DESC
publicdata_publicadministration_1134
μ „ν™”λ²ˆν˜Έκ°€ 7둜 λλ‚˜λŠ” κ΄€λ¦¬μ‚¬λ¬΄μ†Œμ˜ μ•„νŒŒνŠΈλͺ…을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
SELECT APARTMENT_NAME FROM DONGJAK_GU_SEOUL_MNG_OFFICE WHERE PHONE_NUMBER LIKE '%7' ORDER BY APARTMENT_NAME
publicdata_publicadministration_1405
10μ›”μ˜ 단속 건수λ₯Ό λ³΄μ—¬μ€˜
SELECT NUMBER_OF_CRACKDOWNS FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE PERIOD LIKE '%10'
publicdata_publicadministration_1405
2014λ…„ 8μ›”κ³Ό 2015λ…„ 1μ›”μ˜ 단속 κ±΄μˆ˜κ°€ μ–Όλ§ˆμ•Ό
SELECT NUMBER_OF_CRACKDOWNS FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE PERIOD = '2014-08' OR PERIOD = '2015-01'
publicdata_publicadministration_1405
단속 κ±΄μˆ˜κ°€ 3500건 이상이고 5000건 미만인 기간은 μ–Έμ œμ•Ό
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE NUMBER_OF_CRACKDOWNS >= 3500 AND NUMBER_OF_CRACKDOWNS < 5000
publicdata_publicadministration_1405
단속 기간이 6월인 λ‚ μ˜ 단속 건수λ₯Ό λ³΄μ—¬μ€˜
SELECT NUMBER_OF_CRACKDOWNS FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE PERIOD LIKE '%06'
publicdata_publicadministration_1405
2012년에 μ§„ν–‰λœ 단속 μ€‘μ—μ„œ 단속 κ±΄μˆ˜κ°€ 5200건 이상인 기간은 μ–Έμ œμ•Ό
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE PERIOD LIKE '2012%' AND NUMBER_OF_CRACKDOWNS >= 5200
publicdata_publicadministration_1405
λΆˆλ²•μ£Όμ •μ°¨ 단속 κ±΄μˆ˜κ°€ 5000 이상인 기간은 μ–Έμ œμ•Ό
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE NUMBER_OF_CRACKDOWNS >= 5000
publicdata_publicadministration_1405
2014λ…„ 11μ›”μ˜ 단속 건수λ₯Ό μ•Œλ €μ€˜
SELECT NUMBER_OF_CRACKDOWNS FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE PERIOD = '2014-11'
publicdata_publicadministration_1405
단속 κ±΄μˆ˜κ°€ 4둜 μ‹œμž‘ν•˜κ±°λ‚˜ 2499건인 기간을 μ°Ύμ•„μ€˜
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE NUMBER_OF_CRACKDOWNS LIKE '4%' OR NUMBER_OF_CRACKDOWNS = 2499
publicdata_publicadministration_1405
단속 κ±΄μˆ˜κ°€ 4700건 μ΄ν•˜μ΄κ±°λ‚˜ 5500건 이상인 단속 기간을 단속 κ±΄μˆ˜κ°€ λ§Žμ€ μˆœλΆ€ν„° λ³΄μ—¬μ€˜
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE NUMBER_OF_CRACKDOWNS >= 5500 OR NUMBER_OF_CRACKDOWNS <= 4700 ORDER BY NUMBER_OF_CRACKDOWNS DESC
publicdata_publicadministration_1405
단속 κ±΄μˆ˜κ°€ 500건 λ―Έλ§Œμ΄κ±°λ‚˜ 6000건 이상인 λ°μ΄ν„°μ˜ 기간을 였래된 순으둜 λ‚˜νƒ€λ‚΄μ€˜
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE NUMBER_OF_CRACKDOWNS < 500 OR NUMBER_OF_CRACKDOWNS >= 6000 ORDER BY PERIOD
publicdata_publicadministration_1405
단속 κ±΄μˆ˜κ°€ 4835κ±΄μ΄κ±°λ‚˜ 4132건인 κ³Όνƒœλ£Œ λΆ€κ³Ό 기간을 였래된 순으둜 λ‚˜μ—΄ν•΄ 쀘
SELECT PERIOD FROM MONTHLY_STS_ILLEGAL_PARKING_CONTROL_SEONGBUK_GU_SEOUL WHERE NUMBER_OF_CRACKDOWNS = 4835 OR NUMBER_OF_CRACKDOWNS = 4132 ORDER BY PERIOD
publicdata_publicadministration_440
5월에 λ°œμƒν•œ 사고 κ±΄μˆ˜μ™€ μ‚¬λ§μž 수λ₯Ό λ³΄μ—¬μ€˜
SELECT NUMBER_ACCIDENTS, DEATH_TOLL FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DATE_OCCURRENCE = 05
publicdata_publicadministration_440
μš”μΌλ³„λ‘œ 사고 건수의 총합과 μš”μΌμ„ μ•Œλ €μ€˜
SELECT DAY_WEEK, SUM(NUMBER_ACCIDENTS) FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD GROUP BY DAY_WEEK
publicdata_publicadministration_440
μ›”μš”μΌμ˜ μ‚¬λ§μž 수 평균과 μ€‘μƒμž 수 평균을 μ•Œλ €μ€˜
SELECT AVG(DEATH_TOLL), AVG(NUMBER_SERIOUS_INJURIES) FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DAY_WEEK = 'μ›”'
publicdata_publicadministration_440
ν† μš”μΌμ΄λ‚˜ μΌμš”μΌμ— μΌμ–΄λ‚œ κ΅ν†΅μ‚¬κ³ μ˜ μ‚¬λ§μž 수λ₯Ό λ§Žμ€ μˆœλΆ€ν„° λ³΄μ—¬μ€˜
SELECT DEATH_TOLL FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DAY_WEEK = 'ν† ' OR DAY_WEEK = '일' ORDER BY DEATH_TOLL DESC
publicdata_publicadministration_440
1μ›”μ΄λ‚˜ 3월에 ꡐ톡사고가 λ°œμƒν•œ μš”μΌμ„ 사고 κ±΄μˆ˜κ°€ λ§Žμ€ μˆœλΆ€ν„° λ³΄μ—¬μ€˜
SELECT DAY_WEEK FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DATE_OCCURRENCE = 01 OR DATE_OCCURRENCE = 03 ORDER BY NUMBER_ACCIDENTS DESC
publicdata_publicadministration_440
사고 κ±΄μˆ˜κ°€ 2000건 이상인 λ‚ μ˜ μ‚¬λ§μž 수λ₯Ό λ³΄μ—¬μ€˜
SELECT DEATH_TOLL FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE NUMBER_ACCIDENTS >= 2000
publicdata_publicadministration_440
κΈˆμš”μΌμ˜ μ‚¬λ§μž 수λ₯Ό μ•Œλ €μ€˜
SELECT DEATH_TOLL FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DAY_WEEK = '금'
publicdata_publicadministration_440
1μ›” κ²½μƒμž 수의 합을 λ³΄μ—¬μ€˜
SELECT SUM(NUMBER_ORDINARY_PEOPLE) FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DATE_OCCURRENCE = 01
publicdata_publicadministration_440
μ›”μš”μΌμ˜ 평균 사고 건수λ₯Ό μ•Œλ €μ€˜
SELECT AVG(NUMBER_ACCIDENTS) FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DAY_WEEK = 'μ›”'
publicdata_publicadministration_440
μ€‘μƒμž μˆ˜κ°€ 800λͺ…을 μ΄ˆκ³Όν•˜λŠ” μš”μΌμ„ λ³΄μ—¬μ€˜
SELECT DAY_WEEK FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE NUMBER_SERIOUS_INJURIES > 800
publicdata_publicadministration_440
λ°œμƒ μ›”λ³„λ‘œ λ¬Άμ–΄μ„œ ν† μš”μΌκ³Ό μΌμš”μΌμ˜ 사고 건수 합계λ₯Ό λ°œμƒ μ›”κ³Ό ν•¨κ»˜ λ³΄μ—¬μ€˜
SELECT DATE_OCCURRENCE, SUM(NUMBER_ACCIDENTS) FROM TRAFFIC_ACCIDENT_STS_MONTH_DAY_WEEK_KOROAD WHERE DAY_WEEK = 'ν† ' OR DAY_WEEK = '일' GROUP BY DATE_OCCURRENCE