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μ£Όκ΄€ κΈ°κ΄€λͺ…에 산학이 λ“€μ–΄κ°€λŠ” 과제의 μ‹œμž‘μΌμ„ 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
CREATE TABLE "COMMERCIALIZATION_TECH_KETEP_ENERGY_TECH_DEV_PRO" ( "P_U_S_Y_XZ" NUMERIC, "NM_ORGANIZATION_CHARGEL" TEXT, "ASSIGNMENT_NMM" TEXT, "ASSIGNMENT_START_DTN" TEXT, "A_C_D_DE" TEXT, "COMMERCIALIZATION_NMP" TEXT, "SALES_OCCURRENCE_STAQ" TEXT )
SELECT DISTINCT ASSIGNMENT_START_DTN FROM COMMERCIALIZATION_TECH_KETEP_ENERGY_TECH_DEV_PRO WHERE NM_ORGANIZATION_CHARGEL LIKE '%μ‚°ν•™%'
69,547
이름에 μ˜€ν”ΌμŠ€ν…”μ΄ λ“€μ–΄κ°€λŠ” μ—…μ†Œμ˜ μ˜μ—…μž₯ 면적을 μ•Œλ €μ€˜
CREATE TABLE "GWANGJIN_PUBLIC_HYGIENE_BIZ_PUBLIC_USE_FACILITY" ( "CGG_CODE" NUMERIC, "SNT_COB_CODE" NUMERIC, "YY" TEXT, "UPSO_SNO" NUMERIC, "SNT_COB_NM" TEXT, "UPSO_GSL_YMD" TEXT, "UPSO_NM" TEXT, "TRDP_AREA" NUMERIC, "UPSO_SITE_TELNO" TEXT, "BMAN_STDT" TEXT, "BUP_NM" TEXT, "SITE_STDT" TEXT, "ADMDNG_NM" TEXT, "DCB_YMD" TEXT, "ED_FIN_YMD" TEXT, "HANSHIL" TEXT, "YANGSIL" TEXT, "BALHANSIL_YN" TEXT, "WASHMC_NUM" TEXT, "KOR_FRGNR_GBN" TEXT, "NTN" TEXT, "SITE_ADDR_RD" TEXT, "SITE_ADDR" TEXT )
SELECT TRDP_AREA FROM GWANGJIN_PUBLIC_HYGIENE_BIZ_PUBLIC_USE_FACILITY WHERE UPSO_NM LIKE '%μ˜€ν”ΌμŠ€ν…”%'
9,046
κΈ°κ΄€λͺ…에 μ•ˆμ „μ΄ λ“€μ–΄κ°€λŠ” 곳의 μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
CREATE TABLE "EVN_RESULTS_KOSHA_SAFE_MNG_AGENCY" ( "NM_ORGANIZATIONQ" TEXT, "ADDRESSR" TEXT, "PHONE_NUMS" TEXT, "EVALUATIONT" TEXT )
SELECT ADDRESSR FROM EVN_RESULTS_KOSHA_SAFE_MNG_AGENCY WHERE NM_ORGANIZATIONQ LIKE '%μ•ˆμ „%'
80,476
μ„±λ§€λ§€λ‘œ ν–‰μ •μ²˜λΆ„μ„ 받은 μ—…μ†Œμ˜ 이름을 쀑볡 없이 μ•Œλ €μ€˜
CREATE TABLE "GANGSEO_ADMIN_MESURE_PUBLIC" ( "CGG_CODE" NUMERIC, "ADM_DISPO_YMD" TEXT, "GNT_NO" TEXT, "SNT_COB_NM" TEXT, "SNT_UPTAE_NM" TEXT, "UPSO_NM" TEXT, "SITE_ADDR_RD" TEXT, "SITE_ADDR" TEXT, "DRT_INSP_YMD" TEXT, "ADMM_STATE" TEXT, "DISPO_CTN" TEXT, "VIOR_SORT" TEXT, "VIOR_YMD" TEXT, "VIOL_CN" TEXT, "DISPO_CTN_DT" TEXT, "DISPO_GIGAN" TEXT, "INSP_GBN_CODE" TEXT, "JB_ORG" TEXT, "TAKE_YMD" TEXT, "TRDP_AREA" NUMERIC )
SELECT DISTINCT UPSO_NM FROM GANGSEO_ADMIN_MESURE_PUBLIC WHERE VIOL_CN LIKE '%성맀맀%'
14,887
μ°½μ‹ μ—­μ˜ μ£Όμ†Œλ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "NANUMCAR_SPOT_LIST" ( "LA" NUMERIC, "LO" NUMERIC, "POSITN_CD" TEXT, "ELCTYVHCLE_AT" TEXT, "ADRES" TEXT, "POSITN_NM" TEXT )
SELECT ADRES FROM NANUMCAR_SPOT_LIST WHERE POSITN_NM = 'μ°½μ‹ μ—­'
40,032
이름이 μ†Œν”„νŠΈλ‘œ λλ‚˜λŠ” 사업μž₯을 μ°Ύμ•„μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_030501_G_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "FACILAR" TEXT, "UNDERNUMLAY" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT )
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030501_G_N WHERE BPLCNM LIKE '%μ†Œν”„νŠΈ'
23,611
μ†Œμž¬μ§€ 면적이 264인 사업μž₯ 이름을 μ°Ύμ•„μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_114602_G_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "Y" TEXT, "EMERFACILLOC" TEXT, "FACILSENM" TEXT, "FACILNMBDNGNM" TEXT, "DSVYMD" TEXT )
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_114602_G_N WHERE SITEAREA = 264
35,566
주택 μœ ν˜•μ— ꡭ민이 ν¬ν•¨λ˜κ³  μ„ΈλŒ€μˆ˜κ°€ 500 이상인 μ•„νŒŒνŠΈμ˜ 이름을 λ³΄μ—¬μ€˜
CREATE TABLE "LH_N_LH_APT_COMPLEX_INFO" ( "REGIONAL_HEADQUARTERSP" TEXT, "JUST_CDQ" TEXT, "JUST_NMR" TEXT, "NUM_HOUSEHOLDSS" NUMERIC, "SAME_NUMT" NUMERIC, "RENTAL_TYPEU" TEXT, "HOUSING_TYPEV" TEXT, "ADDRESSW" TEXT, "COMPLETION_DTX" TEXT, "R_D_S_D_DE" TEXT, "R_D_E_D_EA" TEXT )
SELECT T2.APARTMENT_NMQ FROM LH_N_LH_APT_COMPLEX_INFO AS T1 JOIN GWWJ_APT_INFO AS T2 ON T1.HOUSING_TYPEV = T2.CONDITIONS_SALES WHERE T1.HOUSING_TYPEV IN (SELECT HOUSING_TYPEV FROM LH_N_LH_APT_COMPLEX_INFO WHERE HOUSING_TYPEV LIKE '%κ΅­λ―Ό%') AND T2.NUM_HOUSEHOLDSX >= 500
85,210
2015λ…„ 6μ›”κ³Ό 2015λ…„ 7μ›”μ˜ μ›”μ„Έ ν†΅ν•©κ°€κ²©μ§€μˆ˜κ°€ 각각 101인 지역을 사전 λ°°μ—΄μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
CREATE TABLE "R_N_H_P_T_S_M_T_A_M_R_P_I_M_R_I_P_I_RC" ( "AREAS" TEXT, "Y_2015_06T" TEXT, "Y_2015_07U" TEXT, "Y_2015_08V" TEXT, "Y_2015_10X" TEXT, "Y_2015_11Y" TEXT, "Y_2016_03C" TEXT, "Y_2016_05E" TEXT, "Y_2016_06F" TEXT, "Y_2016_07G" TEXT, "Y_2016_11K" TEXT, "Y_2016_12L" TEXT, "Y_2017_01M" TEXT, "Y_2017_03O" TEXT, "Y_2017_04P" TEXT, "Y_2017_05Q" TEXT, "Y_2017_06R" TEXT, "Y_2017_08T" TEXT, "Y_2017_09U" TEXT, "Y_2018_01Y" TEXT, "Y_2018_03A" TEXT, "Y_2018_04B" TEXT, "Y_2018_05C" TEXT, "Y_2018_07E" TEXT, "Y_2018_08F" TEXT, "Y_2018_10H" TEXT, "Y_2018_11I" TEXT, "Y_2018_12J" TEXT, "Y_2019_01K" TEXT, "Y_2019_02L" TEXT, "Y_2019_04N" TEXT, "Y_2019_05O" TEXT, "Y_2019_06P" TEXT, "Y_2019_07Q" TEXT, "Y_2019_10T" TEXT, "Y_2019_11U" TEXT, "Y_2019_12V" TEXT, "Y_2020_01W" TEXT, "Y_2020_05A" TEXT, "Y_2020_07C" TEXT, "Y_2020_08D" TEXT, "Y_2020_09E" TEXT, "Y_2020_11G" TEXT, "Y_2020_12H" TEXT, "Y_2021_01I" TEXT, "Y_2021_03K" TEXT, "Y_2021_05M" TEXT, "Y_2021_06N" TEXT )
SELECT AREAS FROM R_N_H_P_T_S_M_T_A_M_R_P_I_M_R_I_P_I_RC WHERE Y_2015_06T = '101' OR Y_2015_07U = '101' ORDER BY AREAS
50,339
μ–‘μ²œκ΅¬μ— μžˆκ±°λ‚˜ μ„€μΉ˜ μž₯μ†Œκ°€ 학ꡐ인 놀이 μ‹œμ„€μ˜ 이름이 뭐야
CREATE TABLE "CURRENT_STS_CHILDREN_PLAY_FAC_SEOUL_METROPOLITAN_OFFICE_EDU" ( "ANNUAL" NUMERIC, "FACILITY_NUMBER" NUMERIC, "PLACEMENT" TEXT, "NAMES_OF_PLAY_FACILITIES" TEXT, "REGIONAL_CLASSIFICATION" TEXT, "INDOOR" TEXT )
SELECT NAMES_OF_PLAY_FACILITIES FROM CURRENT_STS_CHILDREN_PLAY_FAC_SEOUL_METROPOLITAN_OFFICE_EDU WHERE REGIONAL_CLASSIFICATION LIKE '%μ–‘μ²œκ΅¬%' OR PLACEMENT = '학ꡐ'
85,537
μ†Œκ³΅λ™μ— μžˆλŠ” λ¬Έν™” κ΄€κ΄‘μ˜ λͺ…칭을 μ•Œλ €μ€˜
CREATE TABLE "SEBC_JUNGGU_TOUR_KKOR" ( "MAIN_KEY" TEXT, "CATE1_NAME" TEXT, "NAME_KOR" TEXT, "ADD_KOR_ROAD" TEXT, "RES_CONTACT" TEXT, "CN_SITE" TEXT, "CATE2_NAME" TEXT, "CATE3_NAME" TEXT )
SELECT NAME_KOR FROM SEBC_JUNGGU_TOUR_KKOR WHERE ADD_KOR_ROAD LIKE '%μ†Œκ³΅λ™%'
18,783
검사 μΌμžλ³„λ‘œ 합격 ν‘œμ‹œ λ²ˆν˜Έμ— 710이 λ“€μ–΄κ°„ μ†Œν™”κΈ°μ˜ 검사 μΌμžμ™€ ν’ˆλͺ…μ˜ 수λ₯Ό λ‚˜νƒ€λ‚΄μ€˜
CREATE TABLE "INFO_I_FIRE_EXTINGUISHER_ACCEPTANCE_MARKS_KR_FIRE_I_RESEARCH_I" ( "RECEPTION_CLASQ" TEXT, "PRODUCT_NMR" TEXT, "ACCEPTANCE_MARK_NUMS" TEXT, "TYPE_NMT" TEXT, "INSPECTION_DTU" TEXT )
SELECT INSPECTION_DTU, COUNT(PRODUCT_NMR) FROM INFO_I_FIRE_EXTINGUISHER_ACCEPTANCE_MARKS_KR_FIRE_I_RESEARCH_I WHERE ACCEPTANCE_MARK_NUMS LIKE '%710%' GROUP BY INSPECTION_DTU
82,205
ν”Όν•΄ 인ꡬ가 적은 순으둜 ν”Όν•΄ μ‹œμž‘μΌκ³Ό ν”Όν•΄ μ’…λ£ŒμΌμ„ μ •λ ¬ν•΄ 쀘
CREATE TABLE "KW_DROUGHT_RESPONSE_INFO_DROUGHT_DAMAGE_INFO" ( "CITY_PROVINCEQ" TEXT, "C_C_C_D_Q" TEXT, "E_M_DS" TEXT, "DAMAGE_TYPET" TEXT, "AFFECTED_PPU" NUMERIC, "DAMAGE_START_DTV" TEXT, "END_DAMAGE_DTW" TEXT )
SELECT DAMAGE_START_DTV, END_DAMAGE_DTW FROM KW_DROUGHT_RESPONSE_INFO_DROUGHT_DAMAGE_INFO ORDER BY AFFECTED_PPU ASC
77,561
μž¬μ κ²€ μ‹€μ‹œ ν˜Έμˆ˜κ°€ 230호 μ΄ν•˜μΈ μœ ν˜•κ³Ό κ°œμˆ˜μœ¨μ„ λ³΄μ—¬μ€˜
CREATE TABLE "INFO_C_STS_REPAIR_RATE_T_ELECAL_EQ_KR_ELECAL_SAFE_C" ( "TYPEP" TEXT, "R_I_I_N_CV" NUMERIC, "R_S_L_N_C_S_L_DE" NUMERIC, "COUNTING_RATES" TEXT )
SELECT TYPEP, COUNTING_RATES FROM INFO_C_STS_REPAIR_RATE_T_ELECAL_EQ_KR_ELECAL_SAFE_C WHERE R_I_I_N_CV <= 230
82,894
업쒅이 폐수배좜 μ—…μ†Œ 관리인 μ—…μ²΄μ˜ 지도 점검 일자λ₯Ό μ΅œκ·ΌμˆœλΆ€ν„° λ‚˜νƒ€λ‚΄ 쀘
CREATE TABLE "SB_LIST_ENV_GUIDE_CHECK" ( "WRKP_NM" TEXT, "APV_PERM_MGT_NO" NUMERIC, "UPCH_COB_CODE" NUMERIC, "UPCH_COB_NM" TEXT, "DRT_INSP_YMD" TEXT, "SF_TEAM_NM" TEXT, "DRT_INSP_SE_NM" TEXT, "DISPO_TGT_YN" TEXT, "DRT_INSP_ITEM" TEXT, "WRKP_NADDR" TEXT, "WRKP_ADDR" TEXT )
SELECT DRT_INSP_YMD FROM SB_LIST_ENV_GUIDE_CHECK WHERE UPCH_COB_NM = 'νμˆ˜λ°°μΆœμ—…μ†Œκ΄€λ¦¬' ORDER BY DRT_INSP_YMD DESC
36,579
μ‹ μ²­μž λ‚˜μ΄κ°€ 30λŒ€μ΄κ±°λ‚˜ 40λŒ€μΈ μ •λ³΄μ˜ 등둝일을 였래된 순으둜 λ‚˜μ—΄ν•΄μ€˜
CREATE TABLE "APP_INFO_KIOM_RP_WEBSITE_NEWSLETTER" ( "APPLICATION_NUMT" NUMERIC, "AGE_APPLICANTU" TEXT, "I_1_R_L_N_EA" TEXT, "F_I_2_R_P_P_F" TEXT, "I_F_3_T_T_G" TEXT, "F_I_4_E_O_M_H" TEXT, "F_I_5_C_S_O_M_I" TEXT, "P_P_F_I_6_J" TEXT, "AREAS_INTEREST_7_OTHERB" TEXT, "APPLICATION_CLASC" TEXT, "REGISTRARD" TEXT, "RE_DTE" TEXT, "MODIFIERF" TEXT, "REVISION_DTG" TEXT )
SELECT RE_DTE FROM APP_INFO_KIOM_RP_WEBSITE_NEWSLETTER WHERE AGE_APPLICANTU = '30λŒ€' OR AGE_APPLICANTU = '40λŒ€' ORDER BY RE_DTE
51,432
μ—¬μ„± μ’…μ‚¬μž μˆ˜κ°€ 4λͺ…인 곳의 사업μž₯λͺ…κ³Ό μ†Œμž¬μ§€ 우편번호λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072405_G_B" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "JTUPSOMAINEDF" TEXT, "HOMEPAGE" TEXT )
SELECT BPLCNM, SITEPOSTNO FROM L_O_C_A_L_D_A_T_A_072405_G_B WHERE WMEIPCNT = '4'
4,856
κ±΄μˆ˜κ°€ 100건 이상 400건 μ΄ν•˜μΈ 인계기관을 μ°Ύμ•„μ€˜
CREATE TABLE "STS_KR_ASSET_MNG_C_STATE_OWNED_P_LEDGER" ( "YEAR_MONTH_ENTRUSTMENTA" TEXT, "TRANSFER_AGENCYB" TEXT, "COUNTC" NUMERIC )
SELECT TRANSFER_AGENCYB FROM STS_KR_ASSET_MNG_C_STATE_OWNED_P_LEDGER WHERE COUNTC >= 100 AND COUNTC <= 400
64,558
μœ ν˜•μ΄ μˆ˜μ‹μ–΄μΈ λ‹¨μ–΄μ˜ 이름과 μ•½μ–΄λ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "KOGAS_TECH_TECHNICAL_DATA_SYS_STANDARD_WORD_DICTIONARY" ( "WORD_NMP" TEXT, "ABBREVIATIONQ" TEXT, "ENGLISH_NMR" TEXT, "WORD_TYPES" TEXT, "FORBIDDEN_WORD_STAT" TEXT, "DEFINITIONU" TEXT )
SELECT WORD_NMP, ABBREVIATIONQ FROM KOGAS_TECH_TECHNICAL_DATA_SYS_STANDARD_WORD_DICTIONARY WHERE WORD_TYPES = 'μˆ˜μ‹μ–΄'
48,328
μœ„μΉ˜μ— κ²½κΈ°κ°€ λ“€μ–΄κ°€κ³  μ „μš©λ©΄μ μ΄ 1000 μ΄ν•˜μΈ μ‹œμ„€μ˜ 읍면동과 μ§€λ²ˆμ„ λ³΄μ—¬μ€˜
CREATE TABLE "STS_I_L_KOMIR_MINERAL_WASTE_STORAGE_FAC" ( "FACILITY_NAME" TEXT, "TRIAL" TEXT, "CITIES" TEXT, "EUPMYEON_DONG" TEXT, "LEE" TEXT, "TENDON" TEXT, "DEDICATED_AREA" NUMERIC, "OWNERSHIP" TEXT )
SELECT T1.EUPMYEON_DONG, T1.TENDON FROM STS_I_L_KOMIR_MINERAL_WASTE_STORAGE_FAC AS T1 JOIN L_INFO_KOMIR_MINERAL_RESIDUE_LOSS_PREVENTION_PRO_SITE AS T2 ON T1.FACILITY_NAME = T2.FACILITY_NAME WHERE T2.LOCATION IN (SELECT LOCATION FROM L_INFO_KOMIR_MINERAL_RESIDUE_LOSS_PREVENTION_PRO_SITE WHERE LOCATION LIKE '%κ²½κΈ°%') AND T1.DEDICATED_AREA <= 1000
70,878
단속지점λͺ…이 μ›°λΉ™λ§ˆνŠΈμ΄κ±°λ‚˜ 이름에 μˆ˜μ‚°μ‹œμž₯이 λ“€μ–΄κ°€λŠ” λΆˆλ²• μ£Όμ •μ°¨ 단속 CCTVκ°€ μ„€μΉ˜λœ 곳의 μœ„λ„μ™€ 경도λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "TB_OPENDATA_FIXEDCCTV_D_J" ( "ADRES" TEXT, "LATITUDE" NUMERIC, "LONGITUDE" NUMERIC, "D_J_PSTINST_CD" TEXT, "D_J_REGLT_SPOT_NM" TEXT )
SELECT LATITUDE, LONGITUDE FROM TB_OPENDATA_FIXEDCCTV_D_J WHERE D_J_REGLT_SPOT_NM LIKE '%μˆ˜μ‚°μ‹œμž₯%' OR D_J_REGLT_SPOT_NM = 'μ›°λΉ™λ§ˆνŠΈ'
41,125
μš”μ–‘ 쒅별이 μΉ˜κ³Όμ˜μ›μ΄κ±°λ‚˜ μ£Όμ†Œμ— λΉŒλ”©μ΄ λ“€μ–΄κ°€λŠ” μš”μ–‘ κΈ°κ΄€μ˜ 이름을 μ•Œλ €μ€˜
CREATE TABLE "STS_E_HIRA_NURSING_HOME" ( "NM_NURSING_HOMEU" TEXT, "CITY_PROVINCEV" TEXT, "NM_CITY_COUNTY_DISTRICTW" TEXT, "TYPE_CAREX" TEXT, "ADDRESSY" TEXT, "DISPLAY_SJ_CDZ" NUMERIC, "DISPLAY_SJA" TEXT, "OPENING_DTB" TEXT )
SELECT NM_NURSING_HOMEU FROM STS_E_HIRA_NURSING_HOME WHERE TYPE_CAREX = 'μΉ˜κ³Όμ˜μ›' OR ADDRESSY LIKE '%λΉŒλ”©%'
45,841
ν™”λž‘μ²΄μœ‘κ΄€μ˜ λ„λ‘œλͺ… μ£Όμ†ŒλŠ” 뭐야
CREATE TABLE "L_O_C_A_L_D_A_T_A_104101_D_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "PUPRSENM" TEXT, "LDERCNT" TEXT, "BDNGDNGNUM" TEXT, "BUPNM" TEXT )
SELECT RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_104101_D_D WHERE BPLCNM = 'ν™”λž‘μ²΄μœ‘κ΄€'
20,319
κ³Όλͺ…별 포유λ₯˜ μ’…λͺ…μ˜ μˆ˜μ™€ κ³Όλͺ…을 μ°Ύμ•„μ€˜
CREATE TABLE "MM_KIND" ( "OBJECTID" NUMERIC, "SPECIES" TEXT, "COLLEAGENM" TEXT, "FAMILYNM" TEXT, "SEOULPROTECT" TEXT, "ENDANGERED1" TEXT, "ENDANGERED2" TEXT, "SPECIALSPIES" TEXT, "UNUSAULSPIES" TEXT, "DANGOUSSPECIES" TEXT, "NOTOUCHSPECIES" TEXT, "GU" TEXT, "FINDAREA" TEXT, "FINDYEAR" TEXT, "FINDSOURCE" TEXT, "SHAREBOOK" TEXT, "X_VALUE" NUMERIC, "Y_VALUE" NUMERIC, "DATE_POINT" TEXT )
SELECT FAMILYNM, COUNT(FAMILYNM) FROM MM_KIND GROUP BY FAMILYNM
35,923
개인 λ‚©μ„Έμžκ°€ 지방 μ†Œλ“μ„Έλ₯Ό λ‚Έ κ³Όμ„Έ 연도λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON" ( "CITY_AND_PROVINCIAL_NAMES" TEXT, "NAME_CITY_AND_COUNTY" TEXT, "LOCAL_GOVERNMENT_CODE" NUMERIC, "TAX_YEAR" NUMERIC, "DETAILED_NAME" TEXT, "TYPE_NAME_TAX_SOURCE" TEXT, "NUMBER_IMPOSITIONS" NUMERIC, "IMPOSED_AMOUNT" NUMERIC )
SELECT T1.TAX_YEAR FROM TAX_STS_TAX_SOURCE_TYPE_DAEDEOK_GU_DAEJEON AS T1 JOIN CURRENT_STS_LOCAL_TAXPAYERS_DAEDEOK_GU_DAEJEON AS T2 ON T1.DETAILED_NAME = T2.DETAILED_NAME WHERE T1.DETAILED_NAME IN (SELECT DETAILED_NAME FROM CURRENT_STS_LOCAL_TAXPAYERS_DAEDEOK_GU_DAEJEON WHERE FREE_FORM_TAX_PAYMENT = '개인') AND T1.TYPE_NAME_TAX_SOURCE LIKE '%μ§€λ°©μ†Œλ“μ„Έ%'
70,745
금천ꡬ μ‹ν’ˆμœ„μƒμ—…μ†Œ μ‹ν’ˆ μˆ˜κ±°κ²€μ‚¬ ν˜„ν™©μ—μ„œ μˆ˜κ±°λŸ‰μ΄ 1000 이상인 곳의 μˆ˜κ±°μΌμžμ™€ μ κ²€μΌμžλŠ” μ–Έμ œμ•Ό
CREATE TABLE "GEUMCHEON_FOOD_COLLECT_CHECK_HYGIENE_BIZ" ( "CGG_CODE" NUMERIC, "SNT_COB_CODE" NUMERIC, "SNT_COB_NM" TEXT, "PLN_SE_CODE" NUMERIC, "PLN_SE_NM" TEXT, "CHK_PLN_NM" TEXT, "COL_PLN_NM" TEXT, "UPSO_NM" TEXT, "ATCL_GUN_CODE" TEXT, "ATCL_GUN_NM" TEXT, "ATCL_NM" TEXT, "PRDT_NM" TEXT, "EDF_NM" TEXT, "RM_NM" TEXT, "COL_YMD" TEXT, "COL_QUA" NUMERIC, "COL_UNIT" TEXT, "PRD_YMD" TEXT, "LOT_NO" TEXT, "PRDT_YUTONG_DLN" TEXT, "YUTONG_DLN_PRD_YMD_FROM" TEXT, "DEPO_STATE_CODE" TEXT, "BCE_CODE" TEXT, "CHD_SMBL_FD_KD_CODE" TEXT, "ISP_REQ_ORG_NM" NUMERIC, "NATIV_FRGNR_SE" TEXT, "NTN" TEXT, "ISP_SE" TEXT, "ISP_REQ_YMD" TEXT, "COL_ISP_RT_GBN" TEXT, "COL_ISP_SE" TEXT, "CTL_REGN_SE" TEXT, "COL_PLC_SE" TEXT, "DEAL_RT" TEXT, "COL_PDT_DEAL" TEXT, "GNT_NO" NUMERIC, "SITE_ADDR" TEXT, "DRT_INSP_YMD" TEXT )
SELECT DRT_INSP_YMD, COL_YMD FROM GEUMCHEON_FOOD_COLLECT_CHECK_HYGIENE_BIZ WHERE COL_QUA >= 1000
11,429
μ†Œμž¬μ§€ 면적이 30 이상이고 사업μž₯ 이름에 μ΄μš©μ›μ΄ λ“€μ–΄κ°€λŠ” μ—…μ²΄μ˜ μ’Œμ„ 수λ₯Ό λ§Žμ€ μˆœλΆ€ν„° λ³΄μ—¬μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_051901_M_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPTAENM" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "BDNGJISGFLRCNT" TEXT, "BDNGUNDERFLRCNT" TEXT, "USEJISGSTFLR" TEXT, "BALHANSILYN" TEXT, "CHAIRCNT" TEXT, "CNDPERMNTWHY" TEXT, "CNDPERMSTYMD" TEXT, "CNDPERMENDYMD" TEXT, "BDNGOWNSENM" TEXT, "WASHMCCNT" TEXT, "WMEIPCNT" TEXT, "MANEIPCNT" TEXT, "RCVDRYNCNT" TEXT, "ABEDCNT" TEXT )
SELECT CHAIRCNT FROM L_O_C_A_L_D_A_T_A_051901_M_P WHERE SITEAREA >= 30 AND BPLCNM LIKE '%μ΄μš©μ›%' ORDER BY CHAIRCNT DESC
7,288
μ΅œμ’… μˆ˜μ • μΌμžκ°€ 2019년인 사업μž₯의 이름과 μ „ν™”λ²ˆν˜Έλ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_020301_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "LINDSEQNO" TEXT, "RGTMBDSNO" TEXT )
SELECT BPLCNM, SITETEL FROM L_O_C_A_L_D_A_T_A_020301_S_P WHERE LASTMODTS LIKE '2019%'
9,600
재질이 석좕인 곳의 μ—°μž₯κ³Ό 폭원이 μ–Όλ§ˆμ•Ό
CREATE TABLE "GGGJ_STONEWORK" ( "GEOGRAPHICAL_FEATURE_CDG" TEXT, "MANAGEMENT_NUMH" NUMERIC, "A_D_L" TEXT, "LEGAL_AREAJ" TEXT, "ADMINISTRATIVE_AGENCYK" TEXT, "ROAD_SET_NUML" NUMERIC, "CONSTRUCTION_NUMM" TEXT, "POINT_LOCN" TEXT, "LOC_END_POINTO" TEXT, "DIRECTIONP" TEXT, "INS_DTQ" TEXT, "QUALITY_MATERIALR" TEXT, "STRUCTURES" TEXT, "EXTT" NUMERIC, "STORM_SURGEU" NUMERIC, "HEIGHT_MAXV" NUMERIC, "MINIMUM_HEIGHTW" NUMERIC, "NOTEX" TEXT, "NUMY" TEXT )
SELECT EXTT, STORM_SURGEU FROM GGGJ_STONEWORK WHERE QUALITY_MATERIALR = '석좕'
72,565
2014λ…„κ³Ό 2015λ…„μ˜ 지원 λͺ©ν‘œ 수 합계와 평균 사업μž₯ λͺ©ν‘œ 수λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "NUM_CONSULTING_TARGETS_PRIVATE_CONSIGNMENT_KOSHA_CONST" ( "YEAR_APPLICATIONH" NUMERIC, "COMMON_BUSINESS_CLAS_CDI" TEXT, "COMMON_BUSINESS_CLAS_CDJ" TEXT, "T_N_B_E_X" NUMERIC, "NUM_SUPPORT_TARGETSL" NUMERIC )
SELECT AVG(T_N_B_E_X), SUM(T_N_B_E_X) FROM NUM_CONSULTING_TARGETS_PRIVATE_CONSIGNMENT_KOSHA_CONST WHERE YEAR_APPLICATIONH = 2014 OR YEAR_APPLICATIONH = 2015
81,962
2011년에 μž¬κ°œμ—…ν•œ μ„μœ  νŒλ§€μ—…μ²΄μ˜ μ†Œμž¬μ§€ 면적을 μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_092808_S_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "CAPT" TEXT )
SELECT SITEAREA FROM L_O_C_A_L_D_A_T_A_092808_S_P WHERE ROPNYMD LIKE '2011%'
29,939
이름에 κ²½μ°°μ„œκ°€ λ“€μ–΄κ°€λŠ” μ •λ₯˜μ†Œμ— μ„€μΉ˜λœ μ „κ΄‘νŒμ˜ μ„€μΉ˜ 연도λ₯Ό 졜근인 μˆœμ„œλŒ€λ‘œ μ•Œλ €μ€˜
CREATE TABLE "I_STS_BUS_INFO_BOARD_GURI_GYEONGGI" ( "RECTIFICATION" TEXT, "STOP" TEXT, "ROAD_NAME" TEXT, "BUS_MODEL" TEXT, "INSTALLATION_YEAR" NUMERIC, "EUPMYEONG_DONG" TEXT, "MANAGEMENT_NAME" TEXT, "DATA_STANDARD_DATE" TEXT )
SELECT INSTALLATION_YEAR FROM I_STS_BUS_INFO_BOARD_GURI_GYEONGGI WHERE RECTIFICATION LIKE '%κ²½μ°°μ„œ%' ORDER BY INSTALLATION_YEAR DESC
71,325
λΆ€κ³Ό μΌμžλ³„λ‘œ μš©λ„ λͺ…칭에 화물이 ν¬ν•¨λ˜κ³  κ³Όνƒœλ£Œ κΈˆμ•‘μ΄ 4만 원 이상인 μ°¨λŸ‰μ˜ 평균 λΆ€κ³Ό κΈˆμ•‘μ„ λΆ€κ³Ό μΌμžμ™€ ν•¨κ»˜ λ³΄μ—¬μ€˜
CREATE TABLE "INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK" ( "NOTICE_NUMBER" NUMERIC, "PENALTY" NUMERIC, "POSTMATE" NUMERIC, "POST_DATE" TEXT, "STORAGE_DATE" TEXT, "REGISTRATION_NUMBER" NUMERIC, "NAME" TEXT, "COLLECTION" TEXT, "VIOLATION_DATE" TEXT, "DATA_STANDARD_DATE" TEXT )
SELECT T2.IMPOSITION_DATE, AVG(T2.IMPOSITION_MONEY) FROM INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK AS T1 JOIN ADDITIONAL_INFO_ILLEGAL_PARKING_CHARGES_JEONGEUP_JEONBUK AS T2 ON T1.REGISTRATION_NUMBER = T2.REGISTRATION_NUMBER WHERE T2.REGISTRATION_NUMBER IN (SELECT REGISTRATION_NUMBER FROM INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK WHERE NAME LIKE '%ν™”λ¬Ό%') AND T2.REGISTRATION_NUMBER IN (SELECT NOTICE_NUMBER FROM INFO_POSTMARK_ILLEGAL_PARKING_FEE_JEONGEUP_SI_JEONBUK WHERE PENALTY >= 40000) GROUP BY T2.IMPOSITION_DATE
52,525
μ‹ κ³  μΌμžκ°€ 2022년이고 κ³Όμ„Έ ꡬ뢄이 κ°„μ΄κ³Όμ„Έλ‘œ 된 μ—…μ†Œμ˜ μ†Œμž¬μ§€ μ£Όμ†Œλ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "GWGN_MAIL_ORDER_B_STS" ( "NUMR" NUMERIC, "RP_DTS" TEXT, "MANAGEMENT_NUMT" TEXT, "CORPORATION_TRADE_NMU" TEXT, "OPERATIONAL_STAV" TEXT, "TAX_CLASW" TEXT, "LOC_ADDRESSX" TEXT, "HANDLING_ITEMY" TEXT, "HANDLING_ITEM_DETAILSZ" TEXT, "SALES_METHODA" TEXT, "DATA_BASE_DTB" TEXT )
SELECT LOC_ADDRESSX FROM GWGN_MAIL_ORDER_B_STS WHERE TAX_CLASW = '간이과세' AND RP_DTS LIKE '2022%'
74,877
이름에 병원이 λ“€μ–΄κ°€κ±°λ‚˜ 등급이 우수인 사업μž₯의 λ„λ‘œλͺ… 우편번호λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072102_E_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "LVSENM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "ISREAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "JTUPSOMAINEDF" TEXT, "HOMEPAGE" TEXT )
SELECT RDNPOSTNO FROM L_O_C_A_L_D_A_T_A_072102_E_P WHERE BPLCNM LIKE '%병원%' OR LVSENM = '우수'
11,460
μ†Œμž¬μ§€ μ§€λ²ˆ μ£Όμ†Œμ— 은행동이 ν¬ν•¨λ˜κ±°λ‚˜ 이름이 μ‹±μ‹±λ§ˆνŠΈμΈ μ—…μ†Œμ˜ 지정 μΌμžλŠ” μ–Έμ œμ•Ό
CREATE TABLE "GG_SU_TOBACCO_RETAIL_DES_STS" ( "CITY_COUNTY_NMS" TEXT, "BUSINESS_NMT" TEXT, "LOC_NUM_ADDRESSU" TEXT, "LOC_MAP_NM_ADDRESSV" TEXT, "BUSINESS_STAW" TEXT, "DESIGNATED_DTX" TEXT, "CONTACT_CHARGEY" TEXT, "DATA_BASE_DTZ" TEXT )
SELECT DESIGNATED_DTX FROM GG_SU_TOBACCO_RETAIL_DES_STS WHERE LOC_NUM_ADDRESSU LIKE '%은행동%' OR BUSINESS_NMT = 'μ‹±μ‹±λ§ˆνŠΈ'
44,429
μ„ΈλΆ€ 메뉴에 λΆ„μ•Όκ°€ λ“€μ–΄κ°€κ±°λ‚˜ λΆ„μ•Όκ°€ 민원인 μ±—λ΄‡μ˜ λŒ€λ©”λ‰΄μ™€ 세뢀메뉴λ₯Ό μˆœμœ„ 순으둜 λ³΄μ—¬μ€˜
CREATE TABLE "GGHN_CHATBOT_MENU_CONFIGURATION_STS" ( "SERIAL_NUMR" NUMERIC, "FIELDS" TEXT, "BIG_MENUT" TEXT, "DETAILED_MENUU" TEXT )
SELECT T1.BIG_MENUT, T2.DETAILED_MENUN FROM GGHN_CHATBOT_MENU_CONFIGURATION_STS AS T1 JOIN RANKING_USE_GGHN_CHATBOT_MENU AS T2 ON T1.BIG_MENUT = T2.MENUM WHERE T1.FIELDS = '민원' OR T1.DETAILED_MENUU IN (SELECT DETAILED_MENUU FROM GGHN_CHATBOT_MENU_CONFIGURATION_STS WHERE DETAILED_MENUU LIKE '%λΆ„μ•Ό%') ORDER BY T2.RANKINGL
52,505
이름에 κ²½μ œκ°€ λ“€μ–΄κ°€κ±°λ‚˜ μ›μš°μΈ λ°œκ°„λ¬Όμ˜ 제곡 κΈ°κ΄€κ³Ό λ°œκ°„ μ£ΌκΈ°λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "KHNP_HD_TECHNICAL_INFO_MNG_O_LIST_OUTSIDE_PATIONS" ( "NUMU" NUMERIC, "PROVIDERV" TEXT, "PUBLICATION_NMW" TEXT, "PUBLICATION_CYCLEX" TEXT, "FIELDY" TEXT )
SELECT PUBLICATION_CYCLEX, PROVIDERV FROM KHNP_HD_TECHNICAL_INFO_MNG_O_LIST_OUTSIDE_PATIONS WHERE PUBLICATION_NMW LIKE '%경제%' OR PUBLICATION_NMW = 'μ›μš°'
49,864
μ†Œμž¬μ§€ μš°νŽΈλ²ˆν˜Έκ°€ 131810인 사업μž₯의 λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό 데이터 κ°±μ‹  μΌμžκ°€ 였래된 μˆœμ„œλŒ€λ‘œ λ³΄μ—¬μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_103101_J_R" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "FINALMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "BDNGDNGNUM" TEXT, "BDNGYAREA" TEXT, "MEMCOLLTOTSTFNUM" TEXT, "BUPNM" TEXT )
SELECT RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_103101_J_R WHERE SITEPOSTNO = 131810 ORDER BY UPDATEDT
22,051
μ§€λ²ˆ μ£Όμ†Œμ— 신사동이 λ“€μ–΄κ°€λŠ” μ˜ν™” λ°°κΈ‰μ—…μ²΄μ˜ μ΅œμ’… μˆ˜μ • μΌμžμ™€ 데이터 κ°±μ‹ μΌμžλ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_031301_G_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMYN" TEXT, "FRSTREGTS" TEXT )
SELECT LASTMODTS, UPDATEDT FROM L_O_C_A_L_D_A_T_A_031301_G_N WHERE SITEWHLADDR LIKE '%신사동%'
24,528
μ—˜λ¦¬λ² μ΄ν„° μ„€μΉ˜ μœ„μΉ˜μ— μ‹œμ μ΄ λ“€μ–΄κ°€κ±°λ‚˜ 승차 인원이 2022λ…„ 1μ›”κ³Ό 2022λ…„ 2월에 각각 20000λͺ… 이상인 μ—­μ˜ 이름을 쀑볡 없이 λ³΄μ—¬μ€˜
CREATE TABLE "SELMETRO_ELEVATOR_I_INFO" ( "ANNUAL" NUMERIC, "LINE" TEXT, "STATION_NAME" TEXT, "EQUIPMENT" TEXT, "AORY" TEXT, "ELEVATOR_NUMBER" TEXT, "OPERATING_SECTION" TEXT, "INSTALLATION_LOCATION" TEXT )
SELECT DISTINCT T1.STATION_NAME FROM SELMETRO_ELEVATOR_I_INFO AS T1 JOIN INFO_NUM_PEOPLE_DISABILITIES_PER_MONTH_SELMETRO_STATION AS T2 ON T1.STATION_NAME = T2.STATION_NAME WHERE T1.INSTALLATION_LOCATION LIKE '%μ‹œμ %' OR T2.STATION_NAME IN (SELECT STATION_NAME FROM INFO_NUM_PEOPLE_DISABILITIES_PER_MONTH_SELMETRO_STATION WHERE DIVISION = '승차' AND JANUARY_2022 >= 20000 AND FEBRUARY_2022 >= 20000)
73,766
이름에 λ³€μ „μ†Œκ°€ λ“€μ–΄κ°€λŠ” 발λͺ…μ˜ 등둝일을 λ³΄μ—¬μ€˜
CREATE TABLE "KDN_PATENT_HOLDING_STS" ( "NUMY" NUMERIC, "NM_INVENTIONZ" TEXT, "RE_NUMA" NUMERIC, "RE_DTB" TEXT )
SELECT RE_DTB FROM KDN_PATENT_HOLDING_STS WHERE NM_INVENTIONZ LIKE '%λ³€μ „μ†Œ%'
62,199
μ†Œμž¬μ§€ μ§€λ²ˆμ— 신월동이 ν¬ν•¨λ˜κ±°λ‚˜ μ—…μ†Œ 이름이 μŠ€ν¬μ‚¬μš°λ‚˜μΈ 곳의 μ˜μ—…μž₯ 면적은 μ–Όλ§ˆμ•Ό
CREATE TABLE "YC_ADMIN_MESURE_PUBLIC" ( "CGG_CODE" NUMERIC, "ADM_DISPO_YMD" TEXT, "GNT_NO" TEXT, "SNT_COB_NM" TEXT, "UPSO_NM" TEXT, "SITE_ADDR" TEXT, "ADMM_STATE" TEXT, "DISPO_CTN" TEXT, "BAS_LAW" TEXT, "VIOL_CN" TEXT, "DISPO_CTN_DT" TEXT, "DISPO_GIGAN" TEXT, "NT_GBN_CODE" TEXT, "JB_ORG" TEXT, "TAKE_YMD" TEXT, "TRDP_AREA" NUMERIC )
SELECT TRDP_AREA FROM YC_ADMIN_MESURE_PUBLIC WHERE SITE_ADDR LIKE '%신월동%' OR UPSO_NM = 'μŠ€ν¬μ‚¬μš°λ‚˜'
4,362
ν—ˆμš© ꡬ뢄별 λ„λ‘œμ˜ κ°œμˆ˜μ™€ ν—ˆμš© ꡬ뢄을 λ³΄μ—¬μ€˜
CREATE TABLE "POLIC_DJPOLICE_PARKING_PERMISSION_STS_ELASTIC_PARKING" ( "SERIAL_NUMA" NUMERIC, "PERMISSIBLE_CLASB" TEXT, "ROAD_NMC" TEXT, "POINTD" TEXT, "LAST_STOPE" TEXT, "EXT_KMF" TEXT, "A_H_W_H_Z" TEXT, "PERMISSIBLE_DTH" TEXT )
SELECT PERMISSIBLE_CLASB, COUNT(ROAD_NMC) FROM POLIC_DJPOLICE_PARKING_PERMISSION_STS_ELASTIC_PARKING GROUP BY PERMISSIBLE_CLASB
83,756
비고에 λ³‘μš©κΈˆκΈ°κ°€ λ“€μ–΄κ°„ μ•½λ¬Όμ˜ 금기 μ„±λΆ„λͺ…을 쀑볡 없이 λ‚˜νƒ€λ‚΄μ€˜
CREATE TABLE "INFO_DRUG_TABOOS_KR_I_DRUG_SAFE_MNG" ( "FORBIDDEN_INGREDIENT_NMR" TEXT, "BASE_YEAR_MONTHS" NUMERIC, "SALARY_CLAST" NUMERIC, "NOTEU" TEXT )
SELECT DISTINCT FORBIDDEN_INGREDIENT_NMR FROM INFO_DRUG_TABOOS_KR_I_DRUG_SAFE_MNG WHERE NOTEU LIKE '%λ³‘μš©κΈˆκΈ°%'
46,144
역일 이용λ₯ μ΄ 81νΌμ„ΌνŠΈμΈ 연도λ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "IWEST_PW_GENERATION_FAC_UTILIZATION_RATE" ( "YEARW" NUMERIC, "GENERATOR_NMX" TEXT, "POWER_PLANTY" TEXT, "R_U_P_DE" TEXT )
SELECT YEARW FROM IWEST_PW_GENERATION_FAC_UTILIZATION_RATE WHERE R_U_P_DE = '81'
69,110
μ—…μ’…λͺ…별 μ²­μ†Œλ…„ μœ ν•΄ μ—…μ†Œμ˜ 건수 합계와 μ—…μ’…λͺ…을 λ³΄μ—¬μ€˜
CREATE TABLE "GA_JUVENILE_HARMFUL_BIZ" ( "GA_HARMFUL_JUVENILE_PROC_YMD" TEXT, "GA_HARMFUL_JUVENILE_YOUTH_CTA_COB_COD" NUMERIC, "YOUTH_CTA_COB_NM" TEXT, "TOTAL_CNT" TEXT, "GA_HARMFUL_JUVENILE_SF_TEAM_CODE" TEXT )
SELECT YOUTH_CTA_COB_NM, SUM(TOTAL_CNT) FROM GA_JUVENILE_HARMFUL_BIZ GROUP BY YOUTH_CTA_COB_NM
27,620
생성 ν™˜κ²½μ— 라틴어가 ν¬ν•¨λ˜λŠ” κ΄‘λ¬Όμ˜ 이름을 μ•Œλ €μ€˜
CREATE TABLE "KIOM_OASIS_MINERAL_CHARACTERISTICS" ( "MINERAL_NMW" TEXT, "LATIN_NMX" TEXT, "ETYMOLOGYY" TEXT, "GENERATIVE_ENVIRONMENTZ" TEXT, "RE_DTA" TEXT )
SELECT MINERAL_NMW FROM KIOM_OASIS_MINERAL_CHARACTERISTICS WHERE GENERATIVE_ENVIRONMENTZ LIKE '%라틴어%'
67,816
κ΄€κ΄‘μˆ™λ°•μ—… 상세λͺ…이 ν˜ΈμŠ€ν…”μ—…μ΄κ±°λ‚˜ μ†Œν˜• ν˜Έν…”μ—…μΈ μ—…μ²΄μ˜ λ„λ‘œλͺ… μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_031101_Y_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "CULWRKRSENM" TEXT, "REGNSENM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "MNFACTREARTCLCN" TEXT, "INSURORGNM" TEXT, "BDNGSRVNM" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "STROOMCNT" TEXT, "CNSTYAREA" TEXT, "ENGSTNTRNMADDR" TEXT, "SHPTOTTONS" TEXT, "SHPCNT" TEXT, "SHPINFO" TEXT, "FACILSCP" TEXT, "TRSTLODGCLNM" TEXT )
SELECT RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_031101_Y_D WHERE TRSTLODGCLNM = 'ν˜ΈμŠ€ν…”μ—…' OR TRSTLODGCLNM = 'μ†Œν˜•ν˜Έν…”μ—…'
23,907
판맀 방식λͺ…별 μ—…μ²΄μ˜ μˆ˜μ™€ 판맀 방식λͺ…을 λ‚˜νƒ€λ‚΄μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_082604_D_J" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "BCTOTAM" TEXT, "CAPT" TEXT, "SILMETNM" TEXT )
SELECT SILMETNM, COUNT(BPLCNM) FROM L_O_C_A_L_D_A_T_A_082604_D_J GROUP BY SILMETNM
29,802
자치ꡬ 이름이 λ™λŒ€λ¬Έκ΅¬μΈ κ΅μœ‘κΈ°κ΄€μ„ λ³΄μ—¬μ€˜
CREATE TABLE "YOYANGBOHO_BY_KIND" ( "SEQ" TEXT, "SEX" TEXT, "COU" TEXT, "FIN_ORG_NM" TEXT, "YEAR" TEXT, "REGN" TEXT, "STD_DATE" TEXT, "TOTAL_CNT" NUMERIC )
SELECT FIN_ORG_NM FROM YOYANGBOHO_BY_KIND WHERE REGN = 'λ™λŒ€λ¬Έκ΅¬'
27,944
μ „ν™”λ²ˆν˜Έκ°€ 5800으둜 λλ‚˜κ±°λ‚˜ ꡬ뢄이 μš”μ–‘ 병원인 κΈ°κ΄€μ˜ μ†Œμž¬μ§€λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "CURRENT_STS_MEDICAL_INST_OKCHEON_GUN_CHUNGBUK" ( "ANNUAL" NUMERIC, "DIVISION" TEXT, "INSTITUTIONAL_NAME" TEXT, "LOCATION" TEXT, "PHONE_NUMBER" TEXT, "DATA_STANDARD_DATE" TEXT )
SELECT LOCATION FROM CURRENT_STS_MEDICAL_INST_OKCHEON_GUN_CHUNGBUK WHERE PHONE_NUMBER LIKE '%5800' OR DIVISION = 'μš”μ–‘λ³‘μ›'
44,020
이름이 김포 ν•œκ°•μœΌλ‘œ μ‹œμž‘ν•˜λŠ” 곡고의 μ˜ˆμ • 가격을 쀑볡 없이 μ•Œλ €μ€˜
CREATE TABLE "DETAILS_LH_SHOPPING_MALL_BIDDING_A" ( "REGIONAL_HEADQUARTERSE" TEXT, "ANNOUNCEMENT_NMF" TEXT, "TYPE_ANNOUNCEMENTG" TEXT, "ANNOUNCEMENT_DTH" TEXT, "C_S_S_D_H" TEXT, "CONTRACT_CLOSING_DTJ" TEXT, "LOC_SALEK" TEXT, "BUSINESS_DISTRICTL" TEXT, "BLOCKSM" NUMERIC, "NM_STOREN" TEXT, "LOCO" TEXT, "TIME_ENTRYP" TEXT, "GUNMANQ" NUMERIC, "HOUSING_TYPER" TEXT, "M_S_H_A_RC" TEXT, "M_S_M_H_A_S" TEXT, "NUM_HOUSING_UNITSU" NUMERIC, "T_A_S_D_T_U" TEXT, "T_A_C_D_T_V" TEXT, "T_R_P_D_W" TEXT, "HOY" NUMERIC, "FLOORZ" NUMERIC, "DEDICATED_AREAA" TEXT, "SQUARE_METERS_PREB" TEXT, "VAT_RATEC" TEXT, "ESTIMATED_PRICED" NUMERIC, "DOWN_PAY_PERCENTAGEE" NUMERIC, "I_P_P_XZ" NUMERIC, "PERCENTAGE_BALANCEG" NUMERIC )
SELECT DISTINCT ESTIMATED_PRICED FROM DETAILS_LH_SHOPPING_MALL_BIDDING_A WHERE ANNOUNCEMENT_NMF LIKE 'κΉ€ν¬ν•œκ°•%'
79,959
계약λͺ…에 곡원이 λ“€μ–΄κ°€κ±°λ‚˜ κΈˆμ•‘μ΄ 1μ–΅ 원 이상인 κ³„μ•½μ˜ 업체λͺ…을 λ³΄μ—¬μ€˜
CREATE TABLE "GGHN_CONST_CONTRACT_STS" ( "DEPARTMENT_NMW" TEXT, "CONTRACT_NMX" TEXT, "CONTRACT_AMTY" NUMERIC, "DT_CONTRACTZ" TEXT, "COMPANY_NMA" TEXT )
SELECT COMPANY_NMA FROM GGHN_CONST_CONTRACT_STS WHERE CONTRACT_NMX LIKE '%곡원%' OR CONTRACT_AMTY >= 100000000
48,425
μ²­μ†Œλ…„ μ²΄ν—˜κ΄€ 이용이 50000 μ΄μƒμ΄κ±°λ‚˜ 어린이 μ²΄ν—˜κ΄€ 이용이 30000 이상인 이용 ν˜„ν™©μ˜ 기쀀일을 합계가 λ§Žμ€ 순으둜 λ³΄μ—¬μ€˜
CREATE TABLE "M_USAGE_STS_KOJOB" ( "BASE_DTX" TEXT, "YOUTH_EXPERIENCE_CENTERY" NUMERIC, "C_E_C_VA" NUMERIC, "EXHIBITION_HALLA" NUMERIC, "SUMB" NUMERIC )
SELECT BASE_DTX FROM M_USAGE_STS_KOJOB WHERE YOUTH_EXPERIENCE_CENTERY >= 50000 OR C_E_C_VA >= 30000 ORDER BY SUMB DESC
86,463
1980년도에 μΈν—ˆκ°€λ₯Ό 받은 사업μž₯의 비상 μ‹œμ„€ μœ„μΉ˜λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_114602_D_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "EMERFACILLOC" TEXT, "FACILSENM" TEXT, "FACILNMBDNGNM" TEXT, "DSVYMD" TEXT )
SELECT EMERFACILLOC FROM L_O_C_A_L_D_A_T_A_114602_D_D WHERE APVPERMYMD LIKE '1980%'
37,100
상세 μ˜μ—… μƒνƒœκ°€ 폐업인 곳의 X μ’Œν‘œλ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_030505_D_J" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "TOTNUMLAY" TEXT, "NEARENVNM" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "PASGBRETH" TEXT, "LGHTFACILINILLU" NUMERIC, "NOROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "AUTOCHAAIRYN" TEXT, "BGROOMYN" TEXT )
SELECT X FROM L_O_C_A_L_D_A_T_A_030505_D_J WHERE DTLSTATENM = '폐업'
23,647
수리 인가가 2013년인 μ‘°ν•©μ˜ μ£Όμ†Œλ₯Ό μ°Ύμ•„μ€˜
CREATE TABLE "GNYS_COOPERATIVE_E_STS" ( "SERIAL_NUMI" NUMERIC, "SORTATIONJ" TEXT, "COOPERATIVE_NMK" TEXT, "AUTHORIZATION_REPAIRL" TEXT, "INDUSTRYM" TEXT, "TYPEN" TEXT, "MAJOR_PROJECTO" TEXT, "LOCP" TEXT, "ADDRESSQ" TEXT, "BASE_DTR" TEXT )
SELECT ADDRESSQ FROM GNYS_COOPERATIVE_E_STS WHERE AUTHORIZATION_REPAIRL LIKE '2013%'
47,740
이름이 사근동인 행정동은 2005λ…„ μ‚¬μš©λŸ‰μ΄ μ–Όλ§ˆμ•Ό
CREATE TABLE "GEO_INFO_DONG_WATER_USAGE2006" ( "BASE_YEAR" TEXT, "ADM_DR_NM" TEXT, "SUM_05" NUMERIC, "SUM_06" NUMERIC, "X" NUMERIC, "Y" NUMERIC )
SELECT SUM_05 FROM GEO_INFO_DONG_WATER_USAGE2006 WHERE ADM_DR_NM = '사근동'
31,304
지정 λ²ˆν˜Έκ°€ 0167인 μ—…μ†Œμ˜ 이름을 μ•Œλ €μ€˜
CREATE TABLE "GB_MODEL_RESTAURANT_APPLY" ( "CGG_CODE" NUMERIC, "ASGN_YY" TEXT, "ASGN_SNO" TEXT, "APPL_YMD" TEXT, "ASGN_YMD" TEXT, "ASGN_CANCEL_YMD" TEXT, "UPSO_NM" TEXT, "SITE_ADDR" TEXT, "SNT_UPTAE_NM" TEXT, "MAIN_EDF" TEXT, "TRDP_AREA" TEXT, "ADMDNG_NM" TEXT, "GRADE_FACIL_GBN" TEXT )
SELECT UPSO_NM FROM GB_MODEL_RESTAURANT_APPLY WHERE ASGN_SNO = '0167'
2,104
이름이 μ‹œν—˜μž₯으둜 λλ‚˜λŠ” μ‹œν—˜ 기자재의 1회 μ‚¬μš© 수수료λ₯Ό 높은 순으둜 μ •λ ¬ν•΄ 쀘
CREATE TABLE "LIST_EQ_AVAILABLE_USE_KR_FIRE_MARINE_ENGINEERING_I" ( "TEST_EQUIPMENT_NMF" TEXT, "BASIC_FEEG" NUMERIC, "COMMISSION_COMPANYH" NUMERIC, "ADDITIONAL_USAGE_FEEI" NUMERIC, "APPLICATION_CLASJ" TEXT, "APPLICATION_CRITERIAK" TEXT )
SELECT COMMISSION_COMPANYH FROM LIST_EQ_AVAILABLE_USE_KR_FIRE_MARINE_ENGINEERING_I WHERE TEST_EQUIPMENT_NMF LIKE '%μ‹œν—˜μž₯' ORDER BY COMMISSION_COMPANYH DESC
78,281
κ΄‘μ£Όκ°€ λ“€μ–΄κ°€λŠ” μ§€μ—­μ˜ 2015λ…„ 8μ›”κ³Ό 2021λ…„ 7μ›” μ›”μ„Έ 가격 μ§€μˆ˜λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "REB_N_HOUSING_PRICE_TREND_SURVEY_M_TREND_APT_M_PRICE_IDX_REGION" ( "AREAG" TEXT, "Y_2015_08J" TEXT, "Y_2015_10L" TEXT, "Y_2015_12N" TEXT, "Y_2016_01O" TEXT, "Y_2016_02P" TEXT, "Y_2016_03Q" TEXT, "Y_2016_04R" TEXT, "Y_2016_05S" TEXT, "Y_2016_07U" TEXT, "Y_2016_08V" TEXT, "Y_2016_09W" TEXT, "Y_2016_10X" TEXT, "Y_2017_02B" TEXT, "Y_2017_07G" TEXT, "Y_2017_08H" TEXT, "Y_2017_09I" TEXT, "Y_2017_10J" TEXT, "Y_2017_11K" NUMERIC, "Y_2017_12L" TEXT, "Y_2018_01M" TEXT, "Y_2018_04P" TEXT, "Y_2018_05Q" TEXT, "Y_2018_06R" TEXT, "Y_2018_08T" TEXT, "Y_2018_09U" TEXT, "Y_2018_11W" TEXT, "Y_2018_12X" TEXT, "Y_2019_02Z" TEXT, "Y_2019_03A" TEXT, "Y_2019_04B" TEXT, "Y_2019_05C" TEXT, "Y_2019_06D" TEXT, "Y_2019_07E" TEXT, "Y_2019_08F" TEXT, "Y_2019_10H" TEXT, "Y_2019_11I" TEXT, "Y_2020_01K" TEXT, "Y_2020_03M" TEXT, "Y_2020_06P" TEXT, "Y_2020_10T" TEXT, "Y_2020_11U" TEXT, "Y_2021_02X" TEXT, "Y_2021_03Y" TEXT, "Y_2021_04Z" TEXT, "Y_2021_05A" TEXT, "Y_2021_06B" TEXT, "Y_2021_07C" TEXT )
SELECT Y_2015_08J, Y_2021_07C FROM REB_N_HOUSING_PRICE_TREND_SURVEY_M_TREND_APT_M_PRICE_IDX_REGION WHERE AREAG LIKE '%κ΄‘μ£Ό%'
51,261
경도가 126λ„μ΄κ±°λ‚˜ μ£Όμ†Œμ— 관광이 λ“€μ–΄κ°€λŠ” 사업μž₯의 이름을 μ°Ύμ•„μ€˜
CREATE TABLE "STS_TOBACCO_RETAIL_S_SEOGWIPO_JEJU" ( "BUSINESS" TEXT, "BUSINESS_ADDRESS" TEXT, "LATITUDE" NUMERIC, "HARDNESS" NUMERIC, "DESIGNATED_DATE" TEXT, "DATA_STANDARD_DATE" TEXT )
SELECT BUSINESS FROM STS_TOBACCO_RETAIL_S_SEOGWIPO_JEJU WHERE HARDNESS = '126' OR BUSINESS_ADDRESS LIKE '%κ΄€κ΄‘%'
57,803
ν™μΌνƒœν‰μ–‘μ•½κ΅­μ˜ X μ’Œν‘œ 정보와 Y μ’Œν‘œ 정보λ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_020302_Y_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "LINDPRCBGBNNM" TEXT, "LINDSEQNO" TEXT, "RGTMBDSNO" NUMERIC )
SELECT DISTINCT X, Y FROM L_O_C_A_L_D_A_T_A_020302_Y_C WHERE BPLCNM = 'ν™μΌνƒœν‰μ–‘μ•½κ΅­'
235
μ‹ μ‚¬μƒκ°€μ˜ μ—…νƒœ ꡬ뢄λͺ…을 μ°Ύμ•„μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_082501_G_N" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" TEXT, "DTLSTATENM" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "JPSENM" TEXT )
SELECT UPTAENM FROM L_O_C_A_L_D_A_T_A_082501_G_N WHERE BPLCNM = '신사상가'
32,948
μ›μ œ 쑰사에 타이어가 λ“€μ–΄κ°€κ³  타이어 μ’…λ₯˜κ°€ μ†Œν˜• 트럭용인 곳의 νšŒμ‚¬λͺ…을 쀑볡 없이 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
CREATE TABLE "C_STS_KENERGY_TIRE_ENERGY_CONSUMPTION_EFFICIENCY_RATING_C" ( "NUMK" NUMERIC, "CORPORATE_NML" TEXT, "ORIGINAL_INVESTIGATIONM" TEXT, "MODEL_NMN" TEXT, "TYRE_SPECIFICATIONSO" TEXT, "R_T_S_L" TEXT, "TIRE_TYPEQ" TEXT, "MODEL_STAR" TEXT, "ROTATIONAL_RESISTANCES" NUMERIC, "WET_ROADT" NUMERIC, "STATEU" TEXT, "LAST_CHANGE_DTV" TEXT )
SELECT DISTINCT CORPORATE_NML FROM C_STS_KENERGY_TIRE_ENERGY_CONSUMPTION_EFFICIENCY_RATING_C WHERE ORIGINAL_INVESTIGATIONM LIKE '%타이어%' AND TIRE_TYPEQ = 'μ†Œν˜•νŠΈλŸ­μš©' ORDER BY CORPORATE_NML
61,135
강뢁ꡬ에 μžˆλŠ” μ‚¬νšŒλ³΅μ§€μ‹œμ„€ 쀑 μ‹œμ„€ μ’…λ₯˜λͺ…에 μž₯애인이 ν¬ν•¨λ˜λŠ” 곳의 이름을 μ•Œλ €μ€˜
CREATE TABLE "FCLT_OPEN_INFO_G_B" ( "FCLT_NM" TEXT, "GB_WELFARE_FCLT_CD" TEXT, "FCLT_KIND_NM" TEXT, "FCLT_KIND_DTL_NM" TEXT, "GB_WELFARE_JRSD_SGG_SE" TEXT, "GB_WELFARE_RPRSNTV" TEXT, "JRSD_SGG_NM" TEXT, "FCLT_ADDR" TEXT )
SELECT FCLT_NM FROM FCLT_OPEN_INFO_G_B WHERE FCLT_KIND_NM LIKE '%μž₯애인%'
34,325
동백산이 μΆœλ°œμ—­μΈ κ΅¬κ°„μ˜ 기간을 쀑볡 없이 λ³΄μ—¬μ€˜
CREATE TABLE "KORAIL_MUGUNGHWA_TRAIN_FARE_T" ( "PERIODE" TEXT, "SETF" TEXT, "STARTING_STATIONG" TEXT, "ARRIVING_STATIONH" TEXT, "FREIGHT_TODAY_HOLIDAYI" NUMERIC, "S_R_F_T_H_H" NUMERIC, "FREIGHT_MONTH_THURSDAYK" NUMERIC, "S_R_R_M_T_J" NUMERIC, "DAY_BEFORE_FAREM" TEXT, "D_B_S_R_R_L" TEXT )
SELECT DISTINCT PERIODE FROM KORAIL_MUGUNGHWA_TRAIN_FARE_T WHERE STARTING_STATIONG = '동백산'
73,192
μ „ν™”λ²ˆν˜Έκ°€ 070으둜 μ‹œμž‘ν•˜λŠ” 곳의 X μ’Œν‘œ 정보λ₯Ό μ†Œμž¬μ§€ 면적이 넓은 μˆœμ„œλŒ€λ‘œ λ³΄μ—¬μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072202_G_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WTRSPLYFACILSENM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "JTUPSOASGNNO" TEXT, "JTUPSOMAINEDF" TEXT, "HOMEPAGE" TEXT )
SELECT X FROM L_O_C_A_L_D_A_T_A_072202_G_C WHERE SITETEL LIKE '070%' ORDER BY SITEAREA DESC
545
기타 일반용이 15μ΄κ±°λ‚˜ 4 μ΄ν•˜μΈ ν™”μž¬ 감정 ν†΅κ³„μ˜ 행정ꡬ역별을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ 쀑볡 없이 μ°Ύμ•„μ€˜
CREATE TABLE "FIRE_ASSESSMENT_STS_KR_ELECAL_SAFE_C" ( "ADMINISTRATIVE_DISTRICTH" TEXT, "RESIDENTIAL_USEI" NUMERIC, "FCTR_USEJ" NUMERIC, "ACCOMMODATION_BUSINESSK" NUMERIC, "ENTERTAINMENT_BUSINESSL" NUMERIC, "T_M_B_EA" NUMERIC, "S_B_P_F" NUMERIC, "BUILDING_BUSINESSO" NUMERIC, "GOVERNMENT_OFFICESP" NUMERIC, "MILITARY_SERVICEQ" NUMERIC, "R_F_B_J" NUMERIC, "D_S_F_B_K" NUMERIC, "OTHER_BUSINESS_PURPOSEST" NUMERIC, "HOUSE_CARU" NUMERIC, "FCTR_CARV" NUMERIC, "P_C_A_O" NUMERIC, "P_C_E_E_P" NUMERIC, "P_C_T_M_Q" NUMERIC, "SCHOOL_CARZ" NUMERIC, "BUILDING_CARA" NUMERIC, "PRIVATE_CAR_PRIVATE_CARB" NUMERIC, "MILITARY_CARC" NUMERIC, "P_C_R_F_V" NUMERIC, "P_C_D_S_F_W" NUMERIC, "OTHER_PRIVATE_CARSF" NUMERIC, "GENERAL_USE_HOUSINGG" NUMERIC, "GENERAL_USE_FACTORIESH" NUMERIC, "A_G_U_ZZ" NUMERIC, "G_U_E_E_VA" NUMERIC, "G_U_T_M_CV" NUMERIC, "GENERAL_USE_SCHOOLSL" NUMERIC, "GENERAL_USE_BUILDINGSM" NUMERIC, "G_O_G_U_A" NUMERIC, "G_U_M_U_BB" NUMERIC, "R_F_G_U_C" NUMERIC, "G_U_D_S_F_DE" NUMERIC, "OTHER_GENERAL_USER" NUMERIC )
SELECT DISTINCT ADMINISTRATIVE_DISTRICTH FROM FIRE_ASSESSMENT_STS_KR_ELECAL_SAFE_C WHERE OTHER_GENERAL_USER <= 4 OR OTHER_GENERAL_USER = 15 ORDER BY ADMINISTRATIVE_DISTRICTH
84,347
μ„œμšΈλ‘œ μ‹œμž‘ν•˜μ§€ μ•ŠμœΌλ©΄μ„œ ꡬ둜 λλ‚˜λŠ” 지역을 λ³΄μ—¬μ€˜
CREATE TABLE "REB_N_LAND_PRICE_FLUCTUATION_RATE_SURVEY_REGION_YEAR" ( "AREAW" TEXT, "Y_1987X" TEXT, "Y_1988Y" TEXT, "Y_1989Z" TEXT, "Y_1990A" TEXT, "Y_1991B" TEXT, "Y_1992C" TEXT, "Y_1993D" TEXT, "Y_1994E" TEXT, "Y_1995F" TEXT, "Y_1996G" TEXT, "Y_1997H" TEXT, "Y_1998I" TEXT, "Y_1999J" TEXT, "Y_2000K" TEXT, "Y_2001L" TEXT, "Y_2002M" TEXT, "Y_2003N" TEXT, "Y_2004O" TEXT, "Y_2005P" TEXT, "Y_2006Q" TEXT, "Y_2007R" TEXT, "Y_2008S" TEXT, "Y_2009T" TEXT, "Y_2010U" TEXT, "Y_2011V" TEXT, "Y_2012W" TEXT, "Y_2013X" TEXT, "Y_2014Y" TEXT, "Y_2015Z" TEXT, "Y_2016A" TEXT, "Y_2017B" TEXT, "Y_2018C" TEXT, "Y_2019D" TEXT, "Y_2020E" TEXT, "Y_2021F" TEXT )
SELECT AREAW FROM REB_N_LAND_PRICE_FLUCTUATION_RATE_SURVEY_REGION_YEAR WHERE AREAW NOT LIKE 'μ„œμšΈ%' AND AREAW LIKE '%ꡬ'
50,170
μΈν—ˆκ°€ μΌμžκ°€ 2022λ…„μ΄κ±°λ‚˜ λ„λ‘œλͺ… μš°νŽΈλ²ˆν˜Έκ°€ 6556인 사업μž₯의 이름을 μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_030801" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "X" TEXT, "Y" TEXT, "CULWRKRSENM" TEXT, "BDNGSRVNM" TEXT, "UNDERNUMLAY" TEXT, "STROOMCNT" TEXT, "CNSTYAREA" TEXT, "ENGSTNTRNMADDR" TEXT, "SHPTOTTONS" TEXT, "SHPCNT" TEXT, "SHPINFO" TEXT )
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_030801 WHERE APVPERMYMD LIKE '2022%' OR RDNPOSTNO = 6556
18,398
μ‹œλ„λ³„λ‘œ 일 μ΄μš©λŸ‰μ΄ 1000 이상 5000 μ΄ν•˜μΈ 곳의 μ§€ν•˜μˆ˜ μ—° μ΄μš©λŸ‰ 합계 및 평균과 μ‹œλ„λ₯Ό μ°Ύμ•„μ€˜
CREATE TABLE "STS_KW_GROUNDW_UTILIZATION_CHARACTERISTICS_KW_GROUNDW" ( "CITY_PROVINCEV" TEXT, "C_C_C_D_N" TEXT, "OPEN_AIR_MANAGEMENTX" NUMERIC, "ANL_USAGEY" NUMERIC, "DAILY_CPZ" NUMERIC, "CP_PER_YEARA" NUMERIC, "CP_PER_DAYB" NUMERIC )
SELECT CITY_PROVINCEV, SUM(ANL_USAGEY), AVG(ANL_USAGEY) FROM STS_KW_GROUNDW_UTILIZATION_CHARACTERISTICS_KW_GROUNDW WHERE DAILY_CPZ >= 1000 AND DAILY_CPZ <= 5000 GROUP BY CITY_PROVINCEV
77,703
검색어에 정전이 λ“€μ–΄κ°€κ±°λ‚˜ 쑰회 μˆ˜κ°€ 450회 이상인 κ²€μƒ‰μ˜ 연도λ₯Ό 쀑볡 없이 λ³΄μ—¬μ€˜
CREATE TABLE "SEARCH_WORD_KEPCO_HOMEPAGE" ( "NUMR" NUMERIC, "YEARS" NUMERIC, "SEARCH_WORDT" TEXT, "NUM_VIEWSU" NUMERIC )
SELECT DISTINCT YEARS FROM SEARCH_WORD_KEPCO_HOMEPAGE WHERE SEARCH_WORDT LIKE '%μ •μ „%' OR NUM_VIEWSU >= 450
51,706
μ„ μ • 방식이 μ„œμšΈμ‹œ 지정이고 μœ„μΉ˜μ— μ’…λ‘œκ΅¬κ°€ λ“€μ–΄κ°€λŠ” 사업λͺ…을 λ³΄μ—¬μ€˜
CREATE TABLE "BSNSSUMRY_VIEW_INFO" ( "AREA" TEXT, "BSNSNM" TEXT, "BSNSLC" TEXT, "BSNSAR" NUMERIC, "VSN" TEXT, "GOAL" TEXT, "BSNSDRC" TEXT, "BSNSCN" TEXT, "BSNSPD_BEGINYEAR" TEXT, "BSNSPD_ENDYEAR" TEXT, "BTYP_LAW" TEXT, "BTYP_SU" TEXT, "BTYP_SLCTNMTHD" TEXT, "FNRSC_TOTWCT" NUMERIC, "ATCHMNFL_REPRT" TEXT, "BSNSSTEP_CL" TEXT, "STEP" TEXT )
SELECT BSNSNM FROM BSNSSUMRY_VIEW_INFO WHERE BTYP_SLCTNMTHD = 'μ„œμšΈμ‹œμ§€μ •' AND BSNSLC LIKE '%μ’…λ‘œκ΅¬%'
37,659
μΈμ•„μ›ƒμ—ν”„μ—μŠ€μ˜ 곡μž₯ 사무직 쒅업원 수λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072201_G_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "HOFFEPCNT" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "ISREAM" TEXT, "MONAM" TEXT, "MULTUSNUPSOYN" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT, "HOMEPAGE" TEXT )
SELECT FCTYOWKEPCNT FROM L_O_C_A_L_D_A_T_A_072201_G_D WHERE BPLCNM = 'μΈμ•„μ›ƒμ—ν”„μ—μŠ€'
1,388
λ“±κΈ‰ ꡬ뢄λͺ…이 을인 제과점의 남성 μ’…μ‚¬μžμˆ˜μ™€ μ—¬μ„± μ’…μ‚¬μžμˆ˜λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072218_S_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "SITETEL" TEXT, "SITEAREA" NUMERIC, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "WTRSPLYFACILSENM" TEXT, "TOTEPNUM" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "MONAM" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" NUMERIC, "JTUPSOMAINEDF" TEXT, "HOMEPAGE" TEXT )
SELECT MANEIPCNT, WMEIPCNT FROM L_O_C_A_L_D_A_T_A_072218_S_D WHERE LVSENM = '을'
7,078
μΈ΅ λ²ˆν˜Έκ°€ 17이고 ν‰ν˜• ꡬ뢄λͺ…이 84A인 호의 수λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "BIG_JTY_HO_DETL" ( "MGM_HO_DETL_PK" TEXT, "MGM_DONG_OULN_PK" TEXT, "HO_NO" TEXT, "HO_NM" TEXT, "PNGTYP_GB_NM" TEXT, "FLR_NO" TEXT, "FLR_GB_CD" NUMERIC, "MGM_BLDRGST_REF_PK" TEXT, "CHANG_GB_CD" TEXT, "WORK_DAY" TEXT )
SELECT COUNT(MGM_HO_DETL_PK) FROM BIG_JTY_HO_DETL WHERE FLR_NO = '17' AND PNGTYP_GB_NM = '84A'
39,541
이름이 κ³ λž˜μ„œμ μΈ μ±…λ°©μ˜ μ „ν™”λ²ˆν˜ΈλŠ” 뭐야
CREATE TABLE "TB_SLIB_BOOKSTORE_INFO" ( "STORE_SEQ_NO" NUMERIC, "STORE_NAME" TEXT, "GU_CODE" NUMERIC, "CODE_VALUE" TEXT, "ADRES" TEXT, "TEL_NO" TEXT, "HMPG_URL" TEXT, "STORE_TYPE" NUMERIC, "STORE_TYPE_NAME" TEXT, "XCNTS" NUMERIC, "YDNTS" NUMERIC, "SNS" TEXT )
SELECT TEL_NO FROM TB_SLIB_BOOKSTORE_INFO WHERE STORE_NAME = 'κ³ λž˜μ„œμ '
21,623
μ†Œμž¬ μœ μΉ˜μ› μ€‘μ—μ„œ ν™”μž¬λ³΄ν—˜μ— κ°€μž…ν•œ 곳의 이름을 μ•Œλ €μ€˜
CREATE TABLE "CHILD_SCHOOL_INSURANCE" ( "OFFICEEDU" TEXT, "SUBOFFICEEDU" TEXT, "KINDERCODE" TEXT, "KINDERNAME" TEXT, "ESTB_PT" TEXT, "INSURANCE_NM" TEXT, "INSURANCE_EN" TEXT, "INSURANCE_YN" TEXT, "COMPANY1" TEXT, "COMPANY2" TEXT, "PBNTTMNG" NUMERIC, "ADDR" TEXT )
SELECT KINDERNAME FROM CHILD_SCHOOL_INSURANCE WHERE INSURANCE_NM = 'ν™”μž¬λ³΄ν—˜'
41,631
μ‹œμ„€ 면적이 200 이상인 사업μž₯의 이름과 μ΅œμ’… μˆ˜μ • 일자λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_030901_S_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "ROPNYMD" TEXT, "SITEWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "NEARENVNM" TEXT, "FACILAR" TEXT, "JISGNUMLAY" TEXT, "UNDERNUMLAY" TEXT, "BDNGSRVNM" TEXT, "LGHTFACILINILLU" TEXT, "NOROOMCNT" TEXT, "BGROOMCNT" TEXT, "EMERSTAIRYN" TEXT, "EMEXYN" TEXT, "AUTOCHAAIRYN" TEXT )
SELECT BPLCNM, LASTMODTS FROM L_O_C_A_L_D_A_T_A_030901_S_D WHERE FACILAR >= 200
26,798
이름에 μ΄ˆμ½”κ°€ λ“€μ–΄κ°€λŠ” μ œν’ˆμ˜ μˆ˜κ±°λŸ‰μ„ μ•Œλ €μ€˜
CREATE TABLE "YDP_FOOD_COLLECT_CHECK_HYGIENE_BIZ" ( "CGG_CODE" NUMERIC, "SNT_COB_CODE" NUMERIC, "SNT_COB_NM" TEXT, "PLN_SE_CODE" NUMERIC, "COL_PLN_NM" TEXT, "COL_PRFDOC_NO" TEXT, "COL_WHY_CODE" TEXT, "UPSO_NM" TEXT, "ATCL_GUN_CODE" TEXT, "ATCL_GUN_NM" TEXT, "PRDT_NM" TEXT, "EDF_NM" TEXT, "RM_NM" TEXT, "PDT_UPSO_NM" TEXT, "COL_YMD" TEXT, "COL_QUA" NUMERIC, "PRDT_SIZE" TEXT, "PRD_YMD" TEXT, "PRDT_YUTONG_DLN" TEXT, "YUTONG_DLN_PRD_YMD_FROM" TEXT, "DEPO_STATE_CODE" TEXT, "BCE_CODE" TEXT, "CHD_SMBL_FD_KD_CODE" TEXT, "NATIV_FRGNR_SE" TEXT, "NTN" TEXT, "ISP_SE" TEXT, "ISP_REQ_YMD" TEXT, "ISP_RT_REPLY_YMD" TEXT, "DEAL_SE" TEXT, "COL_ISP_SE" TEXT, "CTL_REGN_SE" TEXT, "COL_PLC_SE" TEXT, "DEAL_RT" TEXT, "GNT_NO" NUMERIC )
SELECT COL_QUA FROM YDP_FOOD_COLLECT_CHECK_HYGIENE_BIZ WHERE PRDT_NM LIKE '%μ΄ˆμ½”%'
2,931
μ‹œκ΅°κ΅¬ 이름이 λ§ˆν¬κ΅¬μ΄κ±°λ‚˜ 리λͺ…이 2κΈ€μžμΈ 곳의 μ „μ›” λ‚¨μž μΈκ΅¬μˆ˜λŠ” μ–Όλ§ˆμ•Ό
CREATE TABLE "INCREASE_DECREASE_P_R_RESIDENT_LEGAL_DONG_MOIS_REGION" ( "STATUTORY_COPPER_CDK" NUMERIC, "MONTH_YEARL" TEXT, "CITY_PROVINCEM" TEXT, "NM_CITY_COUNTY_DISTRICTN" TEXT, "TOWNSHIP_NMO" TEXT, "RE_NMP" TEXT, "T_N_P_P_M_P" NUMERIC, "MALE_PP_PREVIOUS_MONTHR" NUMERIC, "WOMEN_PP_PREVIOUS_MONTHS" NUMERIC, "TOTAL_MONTHLY_PPT" NUMERIC, "MALE_PP_MONTHU" NUMERIC, "FEMALE_PP_MONTHV" NUMERIC, "I_D_O_P_V" NUMERIC, "I_D_M_P_W" NUMERIC, "I_D_F_P_X" NUMERIC )
SELECT MALE_PP_PREVIOUS_MONTHR FROM INCREASE_DECREASE_P_R_RESIDENT_LEGAL_DONG_MOIS_REGION WHERE NM_CITY_COUNTY_DISTRICTN = '마포ꡬ' OR RE_NMP LIKE '__'
49,099
츑정점λͺ…에 산지가 ν¬ν•¨λœ μ„€λΉ„μ˜ 제쑰 연도와 μ‚­μ œ 일자λ₯Ό μ•Œλ €μ€˜
CREATE TABLE "FAC_MET_INFO_KEPCO_GIS_PARTIAL_DISCHARGE_DIAGNOSIS_MNG_SYS" ( "MEASUREMENT_POINTA" NUMERIC, "NM_MEASUREMENT_POINTB" TEXT, "SENSOR_LOCC" TEXT, "LOCD" NUMERIC, "LOC_NME" TEXT, "OBJECT_TYPEF" TEXT, "OBJECT_TYPE_NMG" TEXT, "START_DTH" TEXT, "MANUFACTURERI" TEXT, "PRODUCTION_YEARJ" NUMERIC, "PRODUCTION_MONTHK" NUMERIC, "MODEL_NUML" TEXT, "SYS_STAM" TEXT, "USER_STAN" TEXT, "SERIAL_NUMO" TEXT, "DRIVING_CONDITIONSP" TEXT, "PRIZE_CLASQ" TEXT, "DELETION_STAR" TEXT, "DELETION_DTS" TEXT )
SELECT PRODUCTION_YEARJ, DELETION_DTS FROM FAC_MET_INFO_KEPCO_GIS_PARTIAL_DISCHARGE_DIAGNOSIS_MNG_SYS WHERE NM_MEASUREMENT_POINTB LIKE '%산지%'
64,500
λ„λ‘œλͺ… μ£Όμ†Œμ— μ€‘μ•™λŒ€λ‘œκ°€ λ“€μ–΄κ°€λŠ” κ°€κ²Œμ˜ μ†Œμž¬μ§€ μ „ν™”λ²ˆν˜Έλ₯Ό μ˜€λ¦„μ°¨μˆœμœΌλ‘œ μ°Ύμ•„μ€˜
CREATE TABLE "STS_HEALTH_FUNCTIONAL_FOOD_S_JUNG_GU_BUSAN" ( "INDUSTRY_NAME" TEXT, "BUSINESS_NAME" TEXT, "LOCATION_ROAD_NAME" TEXT, "LOCATION_NUMBER" TEXT, "TELEPHONE" TEXT )
SELECT TELEPHONE FROM STS_HEALTH_FUNCTIONAL_FOOD_S_JUNG_GU_BUSAN WHERE LOCATION_ROAD_NAME LIKE '%μ€‘μ•™λŒ€λ‘œ%' ORDER BY TELEPHONE
43,746
μ„œμšΈνŠΉλ³„μ‹œ κ΅¬λ‘œλ™μ— μœ„μΉ˜ν•œ ν˜‘μ˜νšŒμ˜ 이름을 κ°€λ‚˜λ‹€μˆœμœΌλ‘œ μ•Œλ €μ€˜
CREATE TABLE "C_STS_KSSN_N_SOCIAL_WELFARE_COUNCIL" ( "CLASR" TEXT, "AREAS" TEXT, "COUNCIL_NMT" TEXT, "POSTAL_CDU" NUMERIC, "ADDRESSV" TEXT, "REPRESENTATIVE_CONTACTW" TEXT, "FAX_NUMX" TEXT )
SELECT COUNCIL_NMT FROM C_STS_KSSN_N_SOCIAL_WELFARE_COUNCIL WHERE ADDRESSV LIKE '%κ΅¬λ‘œλ™%' AND AREAS = 'μ„œμšΈνŠΉλ³„μ‹œ' ORDER BY COUNCIL_NMT
56,796
이름에 세무가 λ“€μ–΄κ°€κ±°λ‚˜ 고유 λ²ˆν˜Έκ°€ 1201인 μƒν’ˆμ˜ 등둝일을 λ‚˜νƒ€λ‚΄μ€˜
CREATE TABLE "PURCHASING_INFO_KASFO_UNIV_FINANCIAL_ACING_CNT" ( "PRODUCT_UNIQUE_NUMJ" NUMERIC, "PRODUCT_NMK" TEXT, "ACQUISITION_MILEAGEL" NUMERIC, "UNUSED_MILEAGEM" NUMERIC, "USAGE_STAN" TEXT, "RE_DTO" TEXT, "EFFECTIVE_END_DTP" TEXT )
SELECT RE_DTO FROM PURCHASING_INFO_KASFO_UNIV_FINANCIAL_ACING_CNT WHERE PRODUCT_NMK LIKE '%세무%' OR PRODUCT_UNIQUE_NUMJ = 1201
49,993
μ†Œμž¬μ§€ 면적이 100 이상이고 데이터 κ°±μ‹  ꡬ뢄이 갱신인 사업μž₯의 이름을 μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072205_G_D" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "LINDPRCBGBNNM" TEXT, "LINDSEQNO" TEXT, "RGTMBDSNO" TEXT )
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072205_G_D WHERE SITEAREA >= 100 AND UPDATEGBN = 'U'
9,127
폐업 μΌμžκ°€ 2011년인 사업μž₯의 μ’Œν‘œ 정보 X와 μ’Œν‘œ 정보 Yλ₯Ό μ°Ύμ•„μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_031203_M_P" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "CULPHYEDCOBNM" TEXT, "CULWRKRSENM" TEXT, "TOTNUMLAY" TEXT, "INSURORGNM" TEXT, "UNDERNUMLAY" TEXT, "STROOMCNT" TEXT, "ENGSTNTRNMNM" TEXT, "SHPTOTTONS" TEXT, "SHPCNT" TEXT, "SHPINFO" TEXT, "CAPT" TEXT, "INSURSTDT" TEXT )
SELECT X, Y FROM L_O_C_A_L_D_A_T_A_031203_M_P WHERE DCBYMD LIKE '2011%'
20,072
μ€‘κ΅¬μ—μ„œ μ˜μ—… 쀑인 유ν₯주점을 μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_072302_J_G" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "CLGENDDT" TEXT, "ROPNYMD" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "RDNPOSTNO" NUMERIC, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "Y" TEXT, "MANEIPCNT" TEXT, "WMEIPCNT" TEXT, "TRDPJUBNSENM" TEXT, "LVSENM" TEXT, "TOTEPNUM" TEXT, "FCTYOWKEPCNT" TEXT, "FCTYSILJOBEPCNT" TEXT, "FCTYPDTJOBEPCNT" TEXT, "BDNGOWNSENM" TEXT, "FACILTOTSCP" TEXT, "JTUPSOASGNNO" TEXT )
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_072302_J_G WHERE DTLSTATENM = 'μ˜μ—…'
4,665
μ†Œμž¬μ§€ μš°νŽΈλ²ˆν˜Έκ°€ 1379둜 μ‹œμž‘ν•˜λŠ” 사업μž₯의 이름을 μ•Œλ €μ€˜
CREATE TABLE "L_O_C_A_L_D_A_T_A_093004_S_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" TEXT, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATENM" TEXT, "DTLSTATEGBN" NUMERIC, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "CLGSTDT" TEXT, "ROPNYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" NUMERIC, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "LASTMODTS" NUMERIC, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "SNTUPTAENM" TEXT, "BDNGUNDERFLRCNT" TEXT, "USEJISGENDFLR" TEXT, "USEUNDERENDFLR" TEXT, "HANSHILCNT" TEXT, "YANGSILCNT" TEXT, "YOKSILCNT" TEXT, "BALHANSILYN" TEXT, "CHAIRCNT" TEXT, "CNDPERMNTWHY" TEXT, "CNDPERMSTYMD" TEXT, "CNDPERMENDYMD" TEXT, "BDNGOWNSENM" TEXT, "WASHMCCNT" TEXT, "WMEIPCNT" TEXT, "MANEIPCNT" TEXT, "RCVDRYNCNT" TEXT, "MULTUSNUPSOYN" TEXT )
SELECT BPLCNM FROM L_O_C_A_L_D_A_T_A_093004_S_C WHERE SITEPOSTNO LIKE '1379%'
38,411
μ„±μΌκ΄‘κ³ μ˜ λ„λ‘œλͺ… μ£Όμ†Œκ°€ 뭐야
CREATE TABLE "L_O_C_A_L_D_A_T_A_041501_Y_C" ( "OPNSFTEAMCODE" NUMERIC, "MGTNO" NUMERIC, "APVPERMYMD" TEXT, "APVCANCELYMD" TEXT, "TRDSTATEGBN" NUMERIC, "TRDSTATENM" TEXT, "DTLSTATENM" TEXT, "DCBYMD" TEXT, "SITETEL" TEXT, "SITEAREA" TEXT, "SITEPOSTNO" TEXT, "SITEWHLADDR" TEXT, "RDNWHLADDR" TEXT, "BPLCNM" TEXT, "UPDATEGBN" TEXT, "UPDATEDT" TEXT, "UPTAENM" TEXT, "X" TEXT, "Y" TEXT, "TRDCTN" TEXT )
SELECT RDNWHLADDR FROM L_O_C_A_L_D_A_T_A_041501_Y_C WHERE BPLCNM = '성일광고'
23,142
μ˜ˆμ•½μΈ΅μ΄ 9μΈ΅μ΄κ±°λ‚˜ 10측인 μ˜ˆμ•½ μ‹œμ„€μ˜ 이름을 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ λ³΄μ—¬μ€˜
CREATE TABLE "R_INFO_KR_CREATIVE_CONTENT_AGENCY_CORPORATE_SU_CNT" ( "BOOK_FLOORC" NUMERIC, "BOOK_NMD" TEXT, "SORT_NUME" NUMERIC, "EXPOSED_STAF" TEXT, "USAGE_STAG" TEXT, "BOOK_TIMEH" NUMERIC )
SELECT BOOK_NMD FROM R_INFO_KR_CREATIVE_CONTENT_AGENCY_CORPORATE_SU_CNT WHERE BOOK_FLOORC = 9 OR BOOK_FLOORC = 10 ORDER BY BOOK_NMD DESC
54,996
λŒ€ν†΅λ Ή κ³Όν•™ μž₯ν•™κΈˆμ˜ 업무 μ‹œμž‘ 일자λ₯Ό μ΅œμ‹ μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄μ€˜
CREATE TABLE "KOSAF_SCHOLARSHIP_BASIC_INFO_MNG_SCHOLARSHIP_SCHEDULE_BASIC" ( "PRODUCT_CDO" TEXT, "PRODUCT_CD_DESCRIPTIONP" TEXT, "S_P_T_C_J" NUMERIC, "S_P_T_C_D_K" TEXT, "SCHOLARSHIP_SCHOOLS" NUMERIC, "SCHOLARSHIP_SEMESTERT" NUMERIC, "SCHOLARSHIP_MEETINGU" NUMERIC, "BUSINESS_START_DTV" TEXT, "BUSINESS_TERMINATION_DTW" TEXT )
SELECT BUSINESS_START_DTV FROM KOSAF_SCHOLARSHIP_BASIC_INFO_MNG_SCHOLARSHIP_SCHEDULE_BASIC WHERE PRODUCT_CD_DESCRIPTIONP = 'λŒ€ν†΅λ Ήκ³Όν•™μž₯ν•™κΈˆ' ORDER BY BUSINESS_START_DTV DESC
87,232
자치ꡬλͺ…κ³Ό νšŒμ‚¬λ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "LOST_ARTICLE_BIZ_INFO" ( "IDX" NUMERIC, "CODE" TEXT, "GIYUG" TEXT, "COMPANY" TEXT )
SELECT GIYUG, COMPANY FROM LOST_ARTICLE_BIZ_INFO
40,474
μ£Όμ†Œμ— λ―Όλ°©μœ„κ°€ λ“€μ–΄κ°€λŠ” λ‹΄λ‹Ήμžμ˜ μ „ν™”λ²ˆν˜Έλ₯Ό λ³΄μ—¬μ€˜
CREATE TABLE "CONTACT_INFO_MOIS_CIVIL_DEFENSE_LOCAL_GOV_OR" ( "POETRYC" TEXT, "MILITARY_DISTRICTD" TEXT, "DONGE" TEXT, "ADDRESSF" TEXT, "PHONE_NUMG" TEXT )
SELECT PHONE_NUMG FROM CONTACT_INFO_MOIS_CIVIL_DEFENSE_LOCAL_GOV_OR WHERE ADDRESSF LIKE '%λ―Όλ°©μœ„%'
74,898
κΈ°λŒ€ νš¨κ³Όμ— 생산이 λ“€μ–΄κ°€λŠ” μ‚¬μ—…μ˜ μ‹œμž‘ 지역 이름을 지원 근거의 사전 λ°°μ—΄μˆœμœΌλ‘œ λ‚˜μ—΄ν•΄ 쀘
CREATE TABLE "MOF_PORT_TOTAL_COST_PRO_INFO" ( "FISCAL_YEARN" NUMERIC, "MANAGEMENT_NUMO" NUMERIC, "SORTATIONP" TEXT, "INSTITUTIONQ" TEXT, "REGISTERED_AGENCY_CDR" NUMERIC, "NM_COMPETENT_AGENCYS" TEXT, "TOTAL_BUSINESS_NMT" TEXT, "P_B_P_M" TEXT, "E_E_N" TEXT, "GROUNDS_SUPPORTW" TEXT, "N_T_S_S_P" TEXT, "BUSINESS_SIZEY" TEXT, "P_E_S_D_RC" TEXT, "P_E_E_D_S" TEXT, "BUSINESS_START_AREA_NMB" TEXT, "B_S_D_A_U" TEXT, "B_T_A_N_V" TEXT, "D_P_T_A_W" TEXT, "P_F_S_C_X" TEXT, "F_S_I_S_Y" TEXT, "F_R_V_S_Z" TEXT, "RESULT_NT_STAI" TEXT, "LAST_REVISION_DTJ" TEXT )
SELECT BUSINESS_START_AREA_NMB FROM MOF_PORT_TOTAL_COST_PRO_INFO WHERE E_E_N LIKE '%생산%' ORDER BY GROUNDS_SUPPORTW ASC
72,989
노원ꡬ λ³΄κ±΄μ†Œ 곡지사항 μ •λ³΄μ—μ„œ λ‹΄λ‹Ή λΆ€μ„œκ°€ μƒν™œλ³΄κ±΄κ³ΌμΈ κΈ€μ˜ 제λͺ©κ³Ό 등둝일을 μ•Œλ €μ€˜
CREATE TABLE "NOWON_HEALTH_NOTICE_LIST" ( "ID" NUMERIC, "TITLE" TEXT, "LINK" TEXT, "PUBDATE" TEXT, "DEPARTMENT" TEXT, "DESCRIPTION" TEXT )
SELECT TITLE, PUBDATE FROM NOWON_HEALTH_NOTICE_LIST WHERE DEPARTMENT = 'μƒν™œλ³΄κ±΄κ³Ό'
16,528
ꡰꡬ가 μ€‘κ΅¬μ΄κ±°λ‚˜ 업체λͺ…에 μ„œλΉ„μŠ€κ°€ ν¬ν•¨λœ 곳의 μ£Όμ†Œλ₯Ό μ•Œλ €μ€˜
CREATE TABLE "STS_REGISTERED_INTERN_LOGISTICS_SERVICE_CO_INCHEON" ( "ANNUAL" NUMERIC, "REGISTRATION_NUMBER" NUMERIC, "COMPANY_NAME" TEXT, "ADDRESS" TEXT, "TOWNSHIP" TEXT, "DATA_STANDARD_DATE" TEXT )
SELECT ADDRESS FROM STS_REGISTERED_INTERN_LOGISTICS_SERVICE_CO_INCHEON WHERE TOWNSHIP = '쀑ꡬ' OR COMPANY_NAME LIKE '%μ„œλΉ„μŠ€%'
71,624
μ‚¬μ—…μ²΄μ˜ μ†Œμž¬μ§€ λ„λ‘œλͺ…에 μ›”λ“œμ»΅λŒ€λ‘œκ°€ λ“€μ–΄κ°„ 곳의 사업체 λͺ…칭을 κ°€λ‚˜λ‹€ μ—­μˆœμœΌλ‘œ μ•Œλ €μ€˜
CREATE TABLE "CURRENT_STS_PUBLISHING_PRINTING_CO_YEONJE_GU_BUSAN" ( "SECTORS" TEXT, "BUSINESS_NAME" TEXT, "NAME" TEXT, "PHONE_NUMBER" TEXT )
SELECT BUSINESS_NAME FROM CURRENT_STS_PUBLISHING_PRINTING_CO_YEONJE_GU_BUSAN WHERE NAME LIKE '%μ›”λ“œμ»΅λŒ€λ‘œ%' ORDER BY BUSINESS_NAME DESC
57,733