Overview

Dataset statistics

Number of variables36
Number of observations308
Missing cells3575
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.8 KiB
Average record size in memory288.4 B

Variable types

Categorical36

Dataset

Description번호,시도,시군구명,개방서비스명,개방서비스ID,개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태구분코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,소재지전화,소재지면적,소재지우편번호,소재지지번주소,소재지도로명주소,도로명우편번호,사업장명,최종수정시점,데이터갱신구분,데이터갱신일자,업태구분명,경도,위도,환경업무구분명,폐기물처리업구분명,폐기물처리업별처리구분명,폐기물구분명,허용보관량,허용보관량내용
Author행정안전부
URLhttps://data.gwd.go.kr//dataset/view?infId=OA-13827

Alerts

인허가취소일자 has constant value "APVCANCELYMD" Constant
소재지면적 has constant value "SITEAREA" Constant
업태구분명 has constant value "UPTAENM" Constant
폐기물처리업별처리구분명 has constant value "ABWDEALOCPTCBDEALSENM" Constant
허용보관량내용 has constant value "PERMDEPOCN" Constant
번호 has a high cardinality: 308 distinct values High cardinality
관리번호 has a high cardinality: 308 distinct values High cardinality
인허가일자 has a high cardinality: 279 distinct values High cardinality
폐업일자 has a high cardinality: 92 distinct values High cardinality
소재지전화 has a high cardinality: 222 distinct values High cardinality
소재지우편번호 has a high cardinality: 104 distinct values High cardinality
소재지지번주소 has a high cardinality: 238 distinct values High cardinality
소재지도로명주소 has a high cardinality: 201 distinct values High cardinality
도로명우편번호 has a high cardinality: 107 distinct values High cardinality
사업장명 has a high cardinality: 246 distinct values High cardinality
최종수정시점 has a high cardinality: 283 distinct values High cardinality
데이터갱신일자 has a high cardinality: 118 distinct values High cardinality
경도 has a high cardinality: 217 distinct values High cardinality
위도 has a high cardinality: 217 distinct values High cardinality
허용보관량 has a high cardinality: 54 distinct values High cardinality
인허가취소일자 has 307 (99.7%) missing values Missing
폐업일자 has 205 (66.6%) missing values Missing
휴업시작일자 has 304 (98.7%) missing values Missing
휴업종료일자 has 305 (99.0%) missing values Missing
재개업일자 has 305 (99.0%) missing values Missing
소재지전화 has 48 (15.6%) missing values Missing
소재지면적 has 307 (99.7%) missing values Missing
소재지우편번호 has 113 (36.7%) missing values Missing
소재지지번주소 has 19 (6.2%) missing values Missing
소재지도로명주소 has 46 (14.9%) missing values Missing
도로명우편번호 has 151 (49.0%) missing values Missing
업태구분명 has 307 (99.7%) missing values Missing
경도 has 24 (7.8%) missing values Missing
위도 has 24 (7.8%) missing values Missing
환경업무구분명 has 20 (6.5%) missing values Missing
폐기물처리업구분명 has 40 (13.0%) missing values Missing
폐기물처리업별처리구분명 has 307 (99.7%) missing values Missing
폐기물구분명 has 300 (97.4%) missing values Missing
허용보관량 has 131 (42.5%) missing values Missing
허용보관량내용 has 307 (99.7%) missing values Missing
번호 has unique values Unique
관리번호 has unique values Unique

Reproduction

Analysis started2022-08-29 03:01:43.086189
Analysis finished2022-08-29 03:01:43.839994
Duration0.75 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

번호
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
NO
 
1
79
 
1
72
 
1
73
 
1
74
 
1
Other values (303)
303 

Length

Max length3
Median length3
Mean length2.646103896
Min length1

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowNO
2nd row71
3rd row72
4th row73
5th row74

Common Values

ValueCountFrequency (%)
NO1
 
0.3%
791
 
0.3%
721
 
0.3%
731
 
0.3%
741
 
0.3%
751
 
0.3%
761
 
0.3%
771
 
0.3%
781
 
0.3%
801
 
0.3%
Other values (298)298
96.8%

Length

2022-08-29T12:01:43.939103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
no1
 
0.3%
531
 
0.3%
611
 
0.3%
601
 
0.3%
591
 
0.3%
581
 
0.3%
571
 
0.3%
561
 
0.3%
551
 
0.3%
441
 
0.3%
Other values (298)298
96.8%

시도
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
강원도
307 
SIDO
 
1

Length

Max length4
Median length3
Mean length3.003246753
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowSIDO
2nd row강원도
3rd row강원도
4th row강원도
5th row강원도

Common Values

ValueCountFrequency (%)
강원도307
99.7%
SIDO1
 
0.3%

Length

2022-08-29T12:01:44.077853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:44.163017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
강원도307
99.7%
sido1
 
0.3%

시군구명
Categorical

Distinct19
Distinct (%)6.2%
Missing2
Missing (%)0.6%
Memory size2.5 KiB
강릉시
69 
춘천시
39 
속초시
25 
양양군
23 
동해시
22 
Other values (14)
128 

Length

Max length8
Median length3
Mean length3.016339869
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowGUGUN_NM
2nd row춘천시
3rd row춘천시
4th row춘천시
5th row춘천시

Common Values

ValueCountFrequency (%)
강릉시69
22.4%
춘천시39
12.7%
속초시25
 
8.1%
양양군23
 
7.5%
동해시22
 
7.1%
홍천군22
 
7.1%
원주시21
 
6.8%
양구군13
 
4.2%
고성군12
 
3.9%
삼척시12
 
3.9%
Other values (9)48
15.6%

Length

2022-08-29T12:01:44.235570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강릉시69
22.5%
춘천시39
12.7%
속초시25
 
8.2%
양양군23
 
7.5%
동해시22
 
7.2%
홍천군22
 
7.2%
원주시21
 
6.9%
양구군13
 
4.2%
삼척시12
 
3.9%
고성군12
 
3.9%
Other values (9)48
15.7%

개방서비스명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
건설폐기물처리업
307 
OPNSVCNM
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowOPNSVCNM
2nd row건설폐기물처리업
3rd row건설폐기물처리업
4th row건설폐기물처리업
5th row건설폐기물처리업

Common Values

ValueCountFrequency (%)
건설폐기물처리업307
99.7%
OPNSVCNM1
 
0.3%

Length

2022-08-29T12:01:44.319017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:44.403800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물처리업307
99.7%
opnsvcnm1
 
0.3%

개방서비스ID
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
09_30_05_P
307 
OPNSVCID
 
1

Length

Max length10
Median length10
Mean length9.993506494
Min length8

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowOPNSVCID
2nd row09_30_05_P
3rd row09_30_05_P
4th row09_30_05_P
5th row09_30_05_P

Common Values

ValueCountFrequency (%)
09_30_05_P307
99.7%
OPNSVCID1
 
0.3%

Length

2022-08-29T12:01:44.482270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:44.574275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
09_30_05_p307
99.7%
opnsvcid1
 
0.3%

개방자치단체코드
Categorical

Distinct19
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
4200000
68 
4180000
40 
4190000
24 
4250000
22 
4350000
22 
Other values (14)
132 

Length

Max length13
Median length7
Mean length7.019480519
Min length7

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowOPNSFTEAMCODE
2nd row4180000
3rd row4180000
4th row4180000
5th row4180000

Common Values

ValueCountFrequency (%)
420000068
22.1%
418000040
13.0%
419000024
 
7.8%
425000022
 
7.1%
435000022
 
7.1%
423000022
 
7.1%
421000021
 
6.8%
434000016
 
5.2%
432000013
 
4.2%
424000012
 
3.9%
Other values (9)48
15.6%

Length

2022-08-29T12:01:44.649379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
420000068
22.1%
418000040
13.0%
419000024
 
7.8%
425000022
 
7.1%
435000022
 
7.1%
423000022
 
7.1%
421000021
 
6.8%
434000016
 
5.2%
432000013
 
4.2%
424000012
 
3.9%
Other values (9)48
15.6%

관리번호
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
MGTNO
 
1
429000092200900001
 
1
418000092200400001
 
1
418000092200700013
 
1
418000092200700012
 
1
Other values (303)
303 

Length

Max length18
Median length18
Mean length17.95779221
Min length5

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowMGTNO
2nd row418000092200100004
3rd row418000092200400001
4th row418000092200700013
5th row418000092200700012

Common Values

ValueCountFrequency (%)
MGTNO1
 
0.3%
4290000922009000011
 
0.3%
4180000922004000011
 
0.3%
4180000922007000131
 
0.3%
4180000922007000121
 
0.3%
4180000922007000141
 
0.3%
4320000922007000011
 
0.3%
4240000922017000011
 
0.3%
4290000922009000021
 
0.3%
4250000922006000071
 
0.3%
Other values (298)298
96.8%

Length

2022-08-29T12:01:44.743181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mgtno1
 
0.3%
4200000922007000011
 
0.3%
4340000922010000021
 
0.3%
4340000922003000041
 
0.3%
4340000922012000021
 
0.3%
4200000922007000131
 
0.3%
4200000922007000141
 
0.3%
4200000922007000151
 
0.3%
4200000922007000161
 
0.3%
4200000922007000221
 
0.3%
Other values (298)298
96.8%

인허가일자
Categorical

HIGH CARDINALITY

Distinct279
Distinct (%)91.5%
Missing3
Missing (%)1.0%
Memory size2.5 KiB
20071019
 
5
20071012
 
4
20071228
 
3
20071030
 
3
20101119
 
3
Other values (274)
287 

Length

Max length10
Median length8
Mean length8.006557377
Min length8

Unique

Unique262 ?
Unique (%)85.9%

Sample

1st rowAPVPERMYMD
2nd row20111025
3rd row20111017
4th row20131114
5th row20180919

Common Values

ValueCountFrequency (%)
200710195
 
1.6%
200710124
 
1.3%
200712283
 
1.0%
200710303
 
1.0%
201011193
 
1.0%
200901163
 
1.0%
202003182
 
0.6%
200701302
 
0.6%
200801072
 
0.6%
200710052
 
0.6%
Other values (269)276
89.6%
(Missing)3
 
1.0%

Length

2022-08-29T12:01:44.839677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
200710195
 
1.6%
200710124
 
1.3%
200712283
 
1.0%
200710303
 
1.0%
201011193
 
1.0%
200901163
 
1.0%
201910222
 
0.7%
200710182
 
0.7%
202101042
 
0.7%
200601312
 
0.7%
Other values (269)276
90.5%

인허가취소일자
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing307
Missing (%)99.7%
Memory size2.5 KiB
APVCANCELYMD
1 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowAPVCANCELYMD

Common Values

ValueCountFrequency (%)
APVCANCELYMD1
 
0.3%
(Missing)307
99.7%

Length

2022-08-29T12:01:44.942711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:45.023466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
apvcancelymd1
100.0%

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
01
202 
03
102 
02
 
3
TRDSTATEGBN
 
1

Length

Max length11
Median length2
Mean length2.029220779
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowTRDSTATEGBN
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
01202
65.6%
03102
33.1%
023
 
1.0%
TRDSTATEGBN1
 
0.3%

Length

2022-08-29T12:01:45.093121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:45.183231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
01202
65.6%
03102
33.1%
023
 
1.0%
trdstategbn1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
202 
폐업
102 
휴업
 
3
TRDSTATENM
 
1

Length

Max length10
Median length5
Mean length3.993506494
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowTRDSTATENM
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상202
65.6%
폐업102
33.1%
휴업3
 
1.0%
TRDSTATENM1
 
0.3%

Length

2022-08-29T12:01:45.270662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:45.477808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상202
65.6%
폐업102
33.1%
휴업3
 
1.0%
trdstatenm1
 
0.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
BBBB
201 
2
102 
1
 
3
DTLSTATEGBN
 
1
3
 
1

Length

Max length11
Median length4
Mean length2.99025974
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st rowDTLSTATEGBN
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
BBBB201
65.3%
2102
33.1%
13
 
1.0%
DTLSTATEGBN1
 
0.3%
31
 
0.3%

Length

2022-08-29T12:01:45.559328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:45.649538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
bbbb201
65.3%
2102
33.1%
13
 
1.0%
dtlstategbn1
 
0.3%
31
 
0.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업
201 
폐업
102 
휴업
 
3
DTLSTATENM
 
1
재개업
 
1

Length

Max length10
Median length2
Mean length2.029220779
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st rowDTLSTATENM
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업201
65.3%
폐업102
33.1%
휴업3
 
1.0%
DTLSTATENM1
 
0.3%
재개업1
 
0.3%

Length

2022-08-29T12:01:45.742976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:45.895518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
영업201
65.3%
폐업102
33.1%
휴업3
 
1.0%
dtlstatenm1
 
0.3%
재개업1
 
0.3%

폐업일자
Categorical

HIGH CARDINALITY
MISSING

Distinct92
Distinct (%)89.3%
Missing205
Missing (%)66.6%
Memory size2.5 KiB
20090729
 
3
20101119
 
3
20071030
 
2
20071228
 
2
20071231
 
2
Other values (87)
91 

Length

Max length8
Median length8
Mean length7.980582524
Min length6

Unique

Unique83 ?
Unique (%)80.6%

Sample

1st rowDCBYMD
2nd row20111025
3rd row20111013
4th row20131113
5th row20180919

Common Values

ValueCountFrequency (%)
200907293
 
1.0%
201011193
 
1.0%
200710302
 
0.6%
200712282
 
0.6%
200712312
 
0.6%
200703062
 
0.6%
200710192
 
0.6%
200710112
 
0.6%
201611302
 
0.6%
201606291
 
0.3%
Other values (82)82
 
26.6%
(Missing)205
66.6%

Length

2022-08-29T12:01:46.042529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
200907293
 
2.9%
201011193
 
2.9%
200710302
 
1.9%
200712282
 
1.9%
200712312
 
1.9%
200703062
 
1.9%
200710192
 
1.9%
200710112
 
1.9%
201611302
 
1.9%
200908121
 
1.0%
Other values (82)82
79.6%

휴업시작일자
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing304
Missing (%)98.7%
Memory size2.5 KiB
CLGSTDT
1 
20170102
1 
20210101
1 
20211116
1 

Length

Max length8
Median length8
Mean length7.75
Min length7

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowCLGSTDT
2nd row20170102
3rd row20210101
4th row20211116

Common Values

ValueCountFrequency (%)
CLGSTDT1
 
0.3%
201701021
 
0.3%
202101011
 
0.3%
202111161
 
0.3%
(Missing)304
98.7%

Length

2022-08-29T12:01:46.160018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:46.279776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
clgstdt1
25.0%
201701021
25.0%
202101011
25.0%
202111161
25.0%

휴업종료일자
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing305
Missing (%)99.0%
Memory size2.5 KiB
CLGENDDT
1 
20160105
1 
20090424
1 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowCLGENDDT
2nd row20160105
3rd row20090424

Common Values

ValueCountFrequency (%)
CLGENDDT1
 
0.3%
201601051
 
0.3%
200904241
 
0.3%
(Missing)305
99.0%

Length

2022-08-29T12:01:46.433915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:46.567549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
clgenddt1
33.3%
201601051
33.3%
200904241
33.3%

재개업일자
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing305
Missing (%)99.0%
Memory size2.5 KiB
ROPNYMD
1 
20160105
1 
20090424
1 

Length

Max length8
Median length8
Mean length7.666666667
Min length7

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowROPNYMD
2nd row20160105
3rd row20090424

Common Values

ValueCountFrequency (%)
ROPNYMD1
 
0.3%
201601051
 
0.3%
200904241
 
0.3%
(Missing)305
99.0%

Length

2022-08-29T12:01:46.668282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:46.783108image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
ropnymd1
33.3%
201601051
33.3%
200904241
33.3%

소재지전화
Categorical

HIGH CARDINALITY
MISSING

Distinct222
Distinct (%)85.4%
Missing48
Missing (%)15.6%
Memory size2.5 KiB
0334348091
 
8
0335412265
 
3
033-332-8272
 
3
0335324252
 
3
033-652-1964
 
2
Other values (217)
241 

Length

Max length13
Median length12
Mean length10.02307692
Min length7

Unique

Unique193 ?
Unique (%)74.2%

Sample

1st rowSITETEL
2nd row0332564427
3rd row0332564427
4th row033-253-4369
5th row0332642727

Common Values

ValueCountFrequency (%)
03343480918
 
2.6%
03354122653
 
1.0%
033-332-82723
 
1.0%
03353242523
 
1.0%
033-652-19642
 
0.6%
67198002
 
0.6%
033-532-07942
 
0.6%
033-575-09812
 
0.6%
054)858-70282
 
0.6%
434-47962
 
0.6%
Other values (212)231
75.0%
(Missing)48
 
15.6%

Length

2022-08-29T12:01:46.886575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
03310
 
3.6%
03343480918
 
2.9%
033-332-82723
 
1.1%
03353242523
 
1.1%
03354122653
 
1.1%
03355445002
 
0.7%
03333309202
 
0.7%
03348235882
 
0.7%
03326193612
 
0.7%
033-343-87712
 
0.7%
Other values (217)237
86.5%

소재지면적
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing307
Missing (%)99.7%
Memory size2.5 KiB
SITEAREA
1 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowSITEAREA

Common Values

ValueCountFrequency (%)
SITEAREA1
 
0.3%
(Missing)307
99.7%

Length

2022-08-29T12:01:46.994238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:47.095560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
sitearea1
100.0%

소재지우편번호
Categorical

HIGH CARDINALITY
MISSING

Distinct104
Distinct (%)53.3%
Missing113
Missing (%)36.7%
Memory size2.5 KiB
250801
 
15
210100
 
11
210110
 
6
200915
 
6
219832
 
5
Other values (99)
152 

Length

Max length10
Median length6
Mean length6.020512821
Min length6

Unique

Unique65 ?
Unique (%)33.3%

Sample

1st rowSITEPOSTNO
2nd row200853
3rd row200853
4th row200130
5th row200949

Common Values

ValueCountFrequency (%)
25080115
 
4.9%
21010011
 
3.6%
2101106
 
1.9%
2009156
 
1.9%
2198325
 
1.6%
2508035
 
1.6%
2170705
 
1.6%
2108523
 
1.0%
2102703
 
1.0%
2158053
 
1.0%
Other values (94)133
43.2%
(Missing)113
36.7%

Length

2022-08-29T12:01:47.191042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
25080115
 
7.7%
21010011
 
5.6%
2101106
 
3.1%
2009156
 
3.1%
2198325
 
2.6%
2508035
 
2.6%
2170705
 
2.6%
2158513
 
1.5%
2177593
 
1.5%
2402903
 
1.5%
Other values (94)133
68.2%

소재지지번주소
Categorical

HIGH CARDINALITY
MISSING

Distinct238
Distinct (%)82.4%
Missing19
Missing (%)6.2%
Memory size2.5 KiB
강원도 홍천군 홍천읍 갈마곡리 426번지
 
9
강원도 홍천군 홍천읍 갈마곡리 146-5번지
 
4
강원도 춘천시 남산면 수동리 226-5
 
3
강원도 속초시 조양동 주공4차아파트 105동 501호
 
3
강원도 강릉시 교동 332-6번지
 
3
Other values (233)
267 

Length

Max length49
Median length33
Mean length21.34948097
Min length11

Unique

Unique202 ?
Unique (%)69.9%

Sample

1st rowLOT_ADDRESS
2nd row강원도 춘천시 동면 장학리 648-56
3rd row강원도 춘천시 동면 장학리 648-56
4th row강원도 춘천시 근화동 538-1번지
5th row강원도 춘천시 신동면 정족리 563번지

Common Values

ValueCountFrequency (%)
강원도 홍천군 홍천읍 갈마곡리 426번지9
 
2.9%
강원도 홍천군 홍천읍 갈마곡리 146-5번지4
 
1.3%
강원도 춘천시 남산면 수동리 226-5 3
 
1.0%
강원도 속초시 조양동 주공4차아파트 105동 501호3
 
1.0%
강원도 강릉시 교동 332-6번지3
 
1.0%
강원도 삼척시 도계읍 도계리 73 3
 
1.0%
강원도 춘천시 남산면 수동리 239-1 3
 
1.0%
강원도 동해시 지흥동 258-4 3
 
1.0%
강원도 홍천군 홍천읍 삼마치리 549번지 550, 557-42
 
0.6%
강원도 고성군 토성면 성천리 307-2번지2
 
0.6%
Other values (228)254
82.5%
(Missing)19
 
6.2%

Length

2022-08-29T12:01:47.424584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원도286
 
20.8%
강릉시69
 
5.0%
춘천시36
 
2.6%
속초시25
 
1.8%
홍천군22
 
1.6%
양양군22
 
1.6%
홍천읍22
 
1.6%
교동19
 
1.4%
동해시18
 
1.3%
원주시17
 
1.2%
Other values (463)839
61.0%

소재지도로명주소
Categorical

HIGH CARDINALITY
MISSING

Distinct201
Distinct (%)76.7%
Missing46
Missing (%)14.9%
Memory size2.5 KiB
강원도 홍천군 홍천읍 큰골길 3
 
9
강원도 고성군 토성면 용원로 470
 
4
강원도 춘천시 남산면 한치로 343
 
3
강원도 영월군 북면 밤재로 378
 
3
강원도 강릉시 사천면 지재길 20
 
3
Other values (196)
240 

Length

Max length44
Median length37
Mean length22.39694656
Min length12

Unique

Unique157 ?
Unique (%)59.9%

Sample

1st rowROAD_ADDRESS
2nd row강원도 춘천시 동면 소양강로 242
3rd row강원도 춘천시 동면 소양강로 242
4th row강원도 춘천시 영서로 2527 (근화동)
5th row강원도 춘천시 신동면 정족길 175

Common Values

ValueCountFrequency (%)
강원도 홍천군 홍천읍 큰골길 39
 
2.9%
강원도 고성군 토성면 용원로 4704
 
1.3%
강원도 춘천시 남산면 한치로 3433
 
1.0%
강원도 영월군 북면 밤재로 3783
 
1.0%
강원도 강릉시 사천면 지재길 203
 
1.0%
강원도 강릉시 대송길 139-2 (대전동)3
 
1.0%
강원도 동해시 동해대로 5219-1 (지흥동)3
 
1.0%
강원도 춘천시 남산면 한치로 4323
 
1.0%
강원도 삼척시 도계읍 도상로 1943
 
1.0%
강원도 정선군 남면 쇄재옛길 3533
 
1.0%
Other values (191)225
73.1%
(Missing)46
 
14.9%

Length

2022-08-29T12:01:47.542861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원도259
 
19.1%
강릉시57
 
4.2%
춘천시36
 
2.7%
동해시20
 
1.5%
속초시19
 
1.4%
홍천읍18
 
1.3%
홍천군18
 
1.3%
원주시16
 
1.2%
교동16
 
1.2%
양양군16
 
1.2%
Other values (467)881
65.0%

도로명우편번호
Categorical

HIGH CARDINALITY
MISSING

Distinct107
Distinct (%)68.2%
Missing151
Missing (%)49.0%
Memory size2.5 KiB
250801
 
8
240150
 
5
24411
 
4
24412
 
4
26356
 
4
Other values (102)
132 

Length

Max length9
Median length5
Mean length5.445859873
Min length5

Unique

Unique74 ?
Unique (%)47.1%

Sample

1st rowRDNPOSTNO
2nd row200853
3rd row200853
4th row24412
5th row25916

Common Values

ValueCountFrequency (%)
2508018
 
2.6%
2401505
 
1.6%
244114
 
1.3%
244124
 
1.3%
263564
 
1.3%
2558013
 
1.0%
244653
 
1.0%
253642
 
0.6%
2158512
 
0.6%
259162
 
0.6%
Other values (97)120
39.0%
(Missing)151
49.0%

Length

2022-08-29T12:01:47.651122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2508018
 
5.1%
2401505
 
3.2%
244114
 
2.5%
244124
 
2.5%
263564
 
2.5%
2558013
 
1.9%
244653
 
1.9%
244102
 
1.3%
2402902
 
1.3%
244092
 
1.3%
Other values (97)120
76.4%

사업장명
Categorical

HIGH CARDINALITY

Distinct246
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
한서건기
 
9
주식회사 대경환경산업
 
4
홍천건기
 
4
(주)정선산업
 
3
(주)기성환경
 
3
Other values (241)
285 

Length

Max length14
Median length11
Mean length6.49025974
Min length1

Unique

Unique201 ?
Unique (%)65.3%

Sample

1st rowBPLCNM
2nd row(합)청명산업
3rd row(합)청명산업
4th row형송건기
5th row세보건기

Common Values

ValueCountFrequency (%)
한서건기9
 
2.9%
주식회사 대경환경산업4
 
1.3%
홍천건기4
 
1.3%
(주)정선산업3
 
1.0%
(주)기성환경3
 
1.0%
덕호산업(주)3
 
1.0%
(주)중앙종합중기3
 
1.0%
청봉환경산업3
 
1.0%
화성개발(주)3
 
1.0%
영서중기2
 
0.6%
Other values (236)271
88.0%

Length

2022-08-29T12:01:47.754231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주식회사11
 
3.4%
한서건기9
 
2.8%
대경환경산업4
 
1.2%
합자회사4
 
1.2%
홍천건기4
 
1.2%
주)정선산업3
 
0.9%
주)기성환경3
 
0.9%
덕호산업(주3
 
0.9%
주)중앙종합중기3
 
0.9%
청봉환경산업3
 
0.9%
Other values (236)277
85.5%

최종수정시점
Categorical

HIGH CARDINALITY

Distinct283
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
20161102131840
 
8
20110526150458
 
3
20071019174122
 
3
20071231102558
 
3
20080116115411
 
2
Other values (278)
289 

Length

Max length14
Median length14
Mean length13.98376623
Min length9

Unique

Unique267 ?
Unique (%)86.7%

Sample

1st rowLASTMODTS
2nd row20220210105814
3rd row20220210105814
4th row20131114174229
5th row20180919142323

Common Values

ValueCountFrequency (%)
201611021318408
 
2.6%
201105261504583
 
1.0%
200710191741223
 
1.0%
200712311025583
 
1.0%
200801161154112
 
0.6%
202202101058142
 
0.6%
202206270919332
 
0.6%
202110221146412
 
0.6%
200706301057572
 
0.6%
200907301110032
 
0.6%
Other values (273)279
90.6%

Length

2022-08-29T12:01:47.846937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
201611021318408
 
2.6%
200710191741223
 
1.0%
200712311025583
 
1.0%
201105261504583
 
1.0%
201612231754562
 
0.6%
202205201019392
 
0.6%
200710151801502
 
0.6%
202111221750082
 
0.6%
202103190949112
 
0.6%
200710310934032
 
0.6%
Other values (273)279
90.6%

데이터갱신구분
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
165 
U
142 
UPDATEGBN
 
1

Length

Max length9
Median length1
Mean length1.025974026
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowUPDATEGBN
2nd rowU
3rd rowU
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I165
53.6%
U142
46.1%
UPDATEGBN1
 
0.3%

Length

2022-08-29T12:01:47.940004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:48.073129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
i165
53.6%
u142
46.1%
updategbn1
 
0.3%

데이터갱신일자
Categorical

HIGH CARDINALITY

Distinct118
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2018-08-31 23:59:59.0
159 
2022-06-25 02:40:00.0
 
5
2020-12-31 02:40:00.0
 
4
2022-06-29 02:40:00.0
 
3
2022-06-17 02:40:00.0
 
3
Other values (113)
134 

Length

Max length21
Median length21
Mean length20.95779221
Min length8

Unique

Unique95 ?
Unique (%)30.8%

Sample

1st rowUPDATEDT
2nd row2022-02-12 02:40:00.0
3rd row2022-02-12 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-09-19 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0159
51.6%
2022-06-25 02:40:00.05
 
1.6%
2020-12-31 02:40:00.04
 
1.3%
2022-06-29 02:40:00.03
 
1.0%
2022-06-17 02:40:00.03
 
1.0%
2021-12-10 02:40:00.03
 
1.0%
2022-05-22 02:40:00.03
 
1.0%
2021-12-26 02:40:00.03
 
1.0%
2022-06-16 02:40:00.02
 
0.6%
2021-03-21 02:40:00.02
 
0.6%
Other values (108)121
39.3%

Length

2022-08-29T12:01:48.158232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0161
26.2%
2018-08-31159
25.9%
02:40:00.0140
22.8%
2022-06-255
 
0.8%
2020-12-314
 
0.7%
2021-12-103
 
0.5%
2021-12-263
 
0.5%
2022-05-223
 
0.5%
2022-06-173
 
0.5%
2022-06-293
 
0.5%
Other values (115)131
21.3%

업태구분명
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing307
Missing (%)99.7%
Memory size2.5 KiB
UPTAENM
1 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowUPTAENM

Common Values

ValueCountFrequency (%)
UPTAENM1
 
0.3%
(Missing)307
99.7%

Length

2022-08-29T12:01:48.245545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:48.338215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
uptaenm1
100.0%

경도
Categorical

HIGH CARDINALITY
MISSING

Distinct217
Distinct (%)76.4%
Missing24
Missing (%)7.8%
Memory size2.5 KiB
127.89410000145867
 
9
127.67464998190788
 
3
129.10282959886646
 
3
129.152615520999
 
3
128.8945627654892
 
3
Other values (212)
263 

Length

Max length18
Median length18
Mean length17.64084507
Min length3

Unique

Unique168 ?
Unique (%)59.2%

Sample

1st rowLNG
2nd row127.74819938130823
3rd row127.74819938130823
4th row127.7136960829376
5th row127.73286617036965

Common Values

ValueCountFrequency (%)
127.894100001458679
 
2.9%
127.674649981907883
 
1.0%
129.102829598866463
 
1.0%
129.1526155209993
 
1.0%
128.89456276548923
 
1.0%
128.469405403010823
 
1.0%
129.05911604408143
 
1.0%
127.764282675340313
 
1.0%
128.84204250762813
 
1.0%
128.861765526994283
 
1.0%
Other values (207)248
80.5%
(Missing)24
 
7.8%

Length

2022-08-29T12:01:48.418371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
127.894100001458679
 
3.2%
127.764282675340313
 
1.1%
127.674649981907883
 
1.1%
127.665581491583613
 
1.1%
128.861765526994283
 
1.1%
128.84204250762813
 
1.1%
128.21023368252613
 
1.1%
129.05911604408143
 
1.1%
128.469405403010823
 
1.1%
128.89456276548923
 
1.1%
Other values (207)248
87.3%

위도
Categorical

HIGH CARDINALITY
MISSING

Distinct217
Distinct (%)76.4%
Missing24
Missing (%)7.8%
Memory size2.5 KiB
37.69471384481021
 
9
37.77924992823061
 
3
37.5090752718415
 
3
37.4563860452216
 
3
37.76659397463427
 
3
Other values (212)
263 

Length

Max length18
Median length17
Mean length17.17605634
Min length3

Unique

Unique168 ?
Unique (%)59.2%

Sample

1st rowLAT
2nd row37.905843762201975
3rd row37.905843762201975
4th row37.880984283701146
5th row37.83692332403275

Common Values

ValueCountFrequency (%)
37.694713844810219
 
2.9%
37.779249928230613
 
1.0%
37.50907527184153
 
1.0%
37.45638604522163
 
1.0%
37.766593974634273
 
1.0%
37.2594556570265853
 
1.0%
37.218023308910943
 
1.0%
37.7620806078778343
 
1.0%
37.7809707918688253
 
1.0%
37.8029303200543653
 
1.0%
Other values (207)248
80.5%
(Missing)24
 
7.8%

Length

2022-08-29T12:01:48.522099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
37.694713844810219
 
3.2%
37.7620806078778343
 
1.1%
37.779249928230613
 
1.1%
37.7786430222160663
 
1.1%
37.8029303200543653
 
1.1%
37.7809707918688253
 
1.1%
38.146412920383063
 
1.1%
37.218023308910943
 
1.1%
37.2594556570265853
 
1.1%
37.766593974634273
 
1.1%
Other values (207)248
87.3%

환경업무구분명
Categorical

MISSING

Distinct2
Distinct (%)0.7%
Missing20
Missing (%)6.5%
Memory size2.5 KiB
건설폐기물처리업사업계획(허가)신청
287 
ENVBSNSENM
 
1

Length

Max length18
Median length18
Mean length17.97222222
Min length10

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowENVBSNSENM
2nd row건설폐기물처리업사업계획(허가)신청
3rd row건설폐기물처리업사업계획(허가)신청
4th row건설폐기물처리업사업계획(허가)신청
5th row건설폐기물처리업사업계획(허가)신청

Common Values

ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청287
93.2%
ENVBSNSENM1
 
0.3%
(Missing)20
 
6.5%

Length

2022-08-29T12:01:48.621995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:48.715628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청287
99.7%
envbsnsenm1
 
0.3%

폐기물처리업구분명
Categorical

MISSING

Distinct3
Distinct (%)1.1%
Missing40
Missing (%)13.0%
Memory size2.5 KiB
수집운반업(건설폐기물)
184 
중간처분업(건설폐기물)
83 
ABWDEALOCPTSENM
 
1

Length

Max length15
Median length12
Mean length12.01119403
Min length12

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st rowABWDEALOCPTSENM
2nd row수집운반업(건설폐기물)
3rd row중간처분업(건설폐기물)
4th row수집운반업(건설폐기물)
5th row수집운반업(건설폐기물)

Common Values

ValueCountFrequency (%)
수집운반업(건설폐기물)184
59.7%
중간처분업(건설폐기물)83
26.9%
ABWDEALOCPTSENM1
 
0.3%
(Missing)40
 
13.0%

Length

2022-08-29T12:01:48.798408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:48.996645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
수집운반업(건설폐기물184
68.7%
중간처분업(건설폐기물83
31.0%
abwdealocptsenm1
 
0.4%

폐기물처리업별처리구분명
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing307
Missing (%)99.7%
Memory size2.5 KiB
ABWDEALOCPTCBDEALSENM
1 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowABWDEALOCPTCBDEALSENM

Common Values

ValueCountFrequency (%)
ABWDEALOCPTCBDEALSENM1
 
0.3%
(Missing)307
99.7%

Length

2022-08-29T12:01:49.074959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:49.160179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
abwdealocptcbdealsenm1
100.0%

폐기물구분명
Categorical

MISSING

Distinct2
Distinct (%)25.0%
Missing300
Missing (%)97.4%
Memory size2.5 KiB
건설폐기물
7 
ABWSENM
1 

Length

Max length7
Median length5
Mean length5.25
Min length5

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st rowABWSENM
2nd row건설폐기물
3rd row건설폐기물
4th row건설폐기물
5th row건설폐기물

Common Values

ValueCountFrequency (%)
건설폐기물7
 
2.3%
ABWSENM1
 
0.3%
(Missing)300
97.4%

Length

2022-08-29T12:01:49.238619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:49.339620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물7
87.5%
abwsenm1
 
12.5%

허용보관량
Categorical

HIGH CARDINALITY
MISSING

Distinct54
Distinct (%)30.5%
Missing131
Missing (%)42.5%
Memory size2.5 KiB
0
111 
12000
 
5
16000
 
3
8000
 
3
9000
 
3
Other values (49)
52 

Length

Max length10
Median length1
Mean length2.372881356
Min length1

Unique

Unique46 ?
Unique (%)26.0%

Sample

1st rowPERMDEPOQY
2nd row0
3rd row1218
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0111
36.0%
120005
 
1.6%
160003
 
1.0%
80003
 
1.0%
90003
 
1.0%
60002
 
0.6%
12
 
0.6%
182492
 
0.6%
150151
 
0.3%
61561
 
0.3%
Other values (44)44
 
14.3%
(Missing)131
42.5%

Length

2022-08-29T12:01:49.419630image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0111
62.7%
120005
 
2.8%
160003
 
1.7%
80003
 
1.7%
90003
 
1.7%
60002
 
1.1%
12
 
1.1%
182492
 
1.1%
1916671
 
0.6%
199411
 
0.6%
Other values (44)44
 
24.9%

허용보관량내용
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing307
Missing (%)99.7%
Memory size2.5 KiB
PERMDEPOCN
1 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowPERMDEPOCN

Common Values

ValueCountFrequency (%)
PERMDEPOCN1
 
0.3%
(Missing)307
99.7%

Length

2022-08-29T12:01:49.508043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-29T12:01:49.590488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
permdepocn1
100.0%

Sample

First rows

번호시도시군구명개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지지번주소소재지도로명주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명경도위도환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
0NOSIDOGUGUN_NMOPNSVCNMOPNSVCIDOPNSFTEAMCODEMGTNOAPVPERMYMDAPVCANCELYMDTRDSTATEGBNTRDSTATENMDTLSTATEGBNDTLSTATENMDCBYMDCLGSTDTCLGENDDTROPNYMDSITETELSITEAREASITEPOSTNOLOT_ADDRESSROAD_ADDRESSRDNPOSTNOBPLCNMLASTMODTSUPDATEGBNUPDATEDTUPTAENMLNGLATENVBSNSENMABWDEALOCPTSENMABWDEALOCPTCBDEALSENMABWSENMPERMDEPOQYPERMDEPOCN
171강원도춘천시건설폐기물처리업09_30_05_P418000041800009220010000420111025<NA>03폐업2폐업20111025<NA><NA><NA>0332564427<NA>200853강원도 춘천시 동면 장학리 648-56강원도 춘천시 동면 소양강로 242200853(합)청명산업20220210105814U2022-02-12 02:40:00.0<NA>127.7481993813082337.905843762201975건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
272강원도춘천시건설폐기물처리업09_30_05_P418000041800009220040000120111017<NA>03폐업2폐업20111013<NA><NA><NA>0332564427<NA>200853강원도 춘천시 동면 장학리 648-56강원도 춘천시 동면 소양강로 242200853(합)청명산업20220210105814U2022-02-12 02:40:00.0<NA>127.7481993813082337.905843762201975건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>1218<NA>
373강원도춘천시건설폐기물처리업09_30_05_P418000041800009220070001320131114<NA>03폐업2폐업20131113<NA><NA><NA>033-253-4369<NA>200130강원도 춘천시 근화동 538-1번지강원도 춘천시 영서로 2527 (근화동)<NA>형송건기20131114174229I2018-08-31 23:59:59.0<NA>127.713696082937637.880984283701146건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
474강원도춘천시건설폐기물처리업09_30_05_P418000041800009220070001220180919<NA>03폐업2폐업20180919<NA><NA><NA>0332642727<NA><NA>강원도 춘천시 신동면 정족리 563번지강원도 춘천시 신동면 정족길 17524412세보건기20180919142323U2018-09-19 23:59:59.0<NA>127.7328661703696537.83692332403275건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
575강원도춘천시건설폐기물처리업09_30_05_P418000041800009220070001420071029<NA>03폐업2폐업20071029<NA><NA><NA><NA><NA>200949강원도 춘천시 효자동 686번지강원도 춘천시 춘천로68번길 16 (효자동)<NA>동화산업20071029180219I2018-08-31 23:59:59.0<NA>127.7254273106065337.86703423524144건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
676강원도양구군건설폐기물처리업09_30_05_P432000043200009220070000120180904<NA>03폐업2폐업20180830<NA><NA><NA>4825338<NA>255813강원도 양구군 남면 황강리 72-2번지<NA><NA>미래중기20180904173755U2018-09-04 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
777강원도삼척시건설폐기물처리업09_30_05_P424000042400009220170000120170524<NA>03폐업2폐업20170522<NA><NA><NA>033-575-0370<NA><NA><NA>강원도 삼척시 교동로 21 (당저동, 삼척종합광고산업안전)25916(주)두원20170524162758I2018-08-31 23:59:59.0<NA>129.1643621110416437.44433935847662건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
878강원도정선군건설폐기물처리업09_30_05_P429000042900009220090000220110105<NA>03폐업2폐업20110104<NA><NA><NA>0335921118<NA>233905강원도 정선군 사북읍 직전리 40번지강원도 정선군 사북읍 피내길 22<NA>(주)미래환경20110105140653I2018-08-31 23:59:59.0<NA>128.8281420206017237.2609035060956건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
979강원도정선군건설폐기물처리업09_30_05_P429000042900009220090000120140304<NA>03폐업2폐업20140304<NA><NA><NA><NA><NA>233831강원도 정선군 남면 낙동리 269-1번지강원도 정선군 남면 쇄재옛길 353<NA>(주)정선산업20140304165940I2018-08-31 23:59:59.0<NA>128.71036249277137.33196566406637건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>14999<NA>

Last rows

번호시도시군구명개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지지번주소소재지도로명주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명경도위도환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
298226강원도철원군건설폐기물처리업09_30_05_P430000043000009220010000120010531<NA>01영업/정상BBBB영업<NA><NA><NA><NA>033-458-5711<NA>269800강원도 철원군 갈말읍 토성리 229강원도 철원군 갈말읍 도창로 167<NA>동송산업(주)20211013134236U2021-10-15 02:40:00.0<NA>127.35243303339938.246275073668215건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
299227강원도철원군건설폐기물처리업09_30_05_P430000043000009219980000119980822<NA>01영업/정상BBBB영업<NA><NA><NA><NA>033-458-5711<NA>269806강원도 철원군 갈말읍 토성리 229번지강원도 철원군 갈말읍 도창로 167<NA>동송산업(주)20191127134254U2019-11-29 02:40:00.0<NA>127.35243303339938.246275073668215건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>20000<NA>
300228강원도홍천군건설폐기물처리업09_30_05_P425000042500009220110000120110627<NA>01영업/정상BBBB영업<NA><NA><NA><NA>0334368811<NA>250803강원도 홍천군 홍천읍 삼마치리 67번지강원도 홍천군 홍천읍 옥류동길 123-27<NA>효신레미콘(주)20180813102427I2018-08-31 23:59:59.0<NA>127.8958537861739337.633363519247425건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>4036<NA>
301229강원도홍천군건설폐기물처리업09_30_05_P425000042500009220080000420080506<NA>01영업/정상BBBB영업<NA><NA><NA><NA>033 435 9953<NA><NA>강원도 홍천군 홍천읍 삼마치리 80-1번지강원도 홍천군 홍천읍 옥류동길 123-6<NA>상지환경산업(주)20200519111054U2020-05-21 02:40:00.0<NA>127.8932882566788237.633230589338154건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>9000<NA>
302230강원도홍천군건설폐기물처리업09_30_05_P425000042500009220080000320210308<NA>01영업/정상BBBB영업<NA><NA><NA><NA>4355094<NA>250803강원도 홍천군 홍천읍 삼마치리 79 78-2, 78-3강원도 홍천군 홍천읍 옥류동길 123-20 (78-2, 78-3)<NA>(주)상지개발20210310174405U2021-03-12 02:40:00.0<NA>127.8943406513851837.63288431078307건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>9000<NA>
303231강원도홍천군건설폐기물처리업09_30_05_P425000042500009220080000220200305<NA>01영업/정상BBBB영업<NA><NA><NA><NA>033-435-6625<NA>250803강원도 홍천군 홍천읍 장전평리 174-14강원도 홍천군 홍천읍 미루나무길 58<NA>(합)강원환경20220521162437U2022-05-23 02:40:00.0<NA>127.8765796757509237.657763052801705건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>7200<NA>
304232강원도홍천군건설폐기물처리업09_30_05_P425000042500009220080000120201019<NA>01영업/정상BBBB영업<NA><NA><NA><NA>033-435-6601<NA><NA>강원도 홍천군 홍천읍 장전평리 174-7강원도 홍천군 홍천읍 미루나무길 28<NA>(합)홍천환경산업20220616150109U2022-06-18 02:40:00.0<NA>127.8788347949368537.6592416880883건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)<NA><NA>13000<NA>
305233강원도홍천군건설폐기물처리업09_30_05_P425000042500009220060001220070423<NA>01영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>250801강원도 홍천군 홍천읍 갈마곡리 426번지강원도 홍천군 홍천읍 큰골길 3<NA>한서건기20071116103509I2018-08-31 23:59:59.0<NA>127.8941000014586737.69471384481021건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
306234강원도홍천군건설폐기물처리업09_30_05_P425000042500009220060001120070129<NA>01영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>250801강원도 홍천군 홍천읍 갈마곡리 146-5번지<NA><NA>홍천건기20071019174122I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
307235강원도홍천군건설폐기물처리업09_30_05_P425000042500009220060001020070130<NA>01영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>250801강원도 홍천군 홍천읍 갈마곡리 146-5번지<NA><NA>홍천건기20071019174122I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>