Overview

Dataset statistics

Number of variables31
Number of observations41
Missing cells358
Missing cells (%)28.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory268.2 B

Variable types

Categorical17
Numeric5
DateTime1
Unsupported7
Text1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),환경업무구분명,폐기물처리업구분명,폐기물처리업별처리구분명,폐기물구분명,허용보관량,허용보관량내용
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-19314/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐기물구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (71.9%)Imbalance
영업상태명 is highly imbalanced (71.9%)Imbalance
상세영업상태코드 is highly imbalanced (69.6%)Imbalance
상세영업상태명 is highly imbalanced (69.6%)Imbalance
폐업일자 is highly imbalanced (79.2%)Imbalance
휴업시작일자 is highly imbalanced (83.5%)Imbalance
데이터갱신구분 is highly imbalanced (53.9%)Imbalance
데이터갱신일자 is highly imbalanced (71.7%)Imbalance
환경업무구분명 is highly imbalanced (53.9%)Imbalance
허용보관량 is highly imbalanced (71.9%)Imbalance
인허가취소일자 has 41 (100.0%) missing valuesMissing
휴업종료일자 has 41 (100.0%) missing valuesMissing
재개업일자 has 41 (100.0%) missing valuesMissing
소재지면적 has 41 (100.0%) missing valuesMissing
소재지우편번호 has 4 (9.8%) missing valuesMissing
도로명우편번호 has 19 (46.3%) missing valuesMissing
업태구분명 has 41 (100.0%) missing valuesMissing
좌표정보(X) has 4 (9.8%) missing valuesMissing
좌표정보(Y) has 4 (9.8%) missing valuesMissing
폐기물처리업별처리구분명 has 41 (100.0%) missing valuesMissing
폐기물구분명 has 40 (97.6%) missing valuesMissing
허용보관량내용 has 41 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기물처리업별처리구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허용보관량내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:53:38.610736
Analysis finished2024-04-29 19:53:39.133273
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
3120000
41 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 41
100.0%

Length

2024-04-30T04:53:39.192343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:39.270808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 41
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1200009 × 1017
Minimum3.1200009 × 1017
Maximum3.1200009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:53:39.353094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1200009 × 1017
5-th percentile3.1200009 × 1017
Q13.1200009 × 1017
median3.1200009 × 1017
Q33.1200009 × 1017
95-th percentile3.1200009 × 1017
Maximum3.1200009 × 1017
Range1700000
Interquartile range (IQR)100032

Descriptive statistics

Standard deviation364310.04
Coefficient of variation (CV)1.16766 × 10-12
Kurtosis9.0132713
Mean3.1200009 × 1017
Median Absolute Deviation (MAD)0
Skewness3.0514711
Sum-5.6547403 × 1018
Variance1.327218 × 1011
MonotonicityStrictly increasing
2024-04-30T04:53:39.478925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
312000092200500001 1
 
2.4%
312000092200700006 1
 
2.4%
312000092200600019 1
 
2.4%
312000092200600020 1
 
2.4%
312000092200600021 1
 
2.4%
312000092200600022 1
 
2.4%
312000092200700001 1
 
2.4%
312000092200700002 1
 
2.4%
312000092200700004 1
 
2.4%
312000092200700005 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
312000092200500001 1
2.4%
312000092200500002 1
2.4%
312000092200500003 1
2.4%
312000092200500004 1
2.4%
312000092200500005 1
2.4%
312000092200600001 1
2.4%
312000092200600002 1
2.4%
312000092200600003 1
2.4%
312000092200600004 1
2.4%
312000092200600005 1
2.4%
ValueCountFrequency (%)
312000092202200001 1
2.4%
312000092201900001 1
2.4%
312000092201700001 1
2.4%
312000092201100001 1
2.4%
312000092200900002 1
2.4%
312000092200900001 1
2.4%
312000092200700009 1
2.4%
312000092200700008 1
2.4%
312000092200700007 1
2.4%
312000092200700006 1
2.4%

인허가일자
Date

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2005-11-21 00:00:00
Maximum2022-07-08 00:00:00
2024-04-30T04:53:39.604327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:53:39.716448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
38 
3
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 38
92.7%
3 2
 
4.9%
2 1
 
2.4%

Length

2024-04-30T04:53:39.812648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:39.913563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
92.7%
3 2
 
4.9%
2 1
 
2.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
영업/정상
38 
폐업
 
2
휴업
 
1

Length

Max length5
Median length5
Mean length4.7804878
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 38
92.7%
폐업 2
 
4.9%
휴업 1
 
2.4%

Length

2024-04-30T04:53:40.011005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:40.104049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 38
92.7%
폐업 2
 
4.9%
휴업 1
 
2.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
BBBB
37 
2
 
2
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7073171
Min length1

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 37
90.2%
2 2
 
4.9%
3 1
 
2.4%
1 1
 
2.4%

Length

2024-04-30T04:53:40.214684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:40.304584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 37
90.2%
2 2
 
4.9%
3 1
 
2.4%
1 1
 
2.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
영업
37 
폐업
 
2
재개업
 
1
휴업
 
1

Length

Max length3
Median length2
Mean length2.0243902
Min length2

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업 37
90.2%
폐업 2
 
4.9%
재개업 1
 
2.4%
휴업 1
 
2.4%

Length

2024-04-30T04:53:40.396974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:40.480996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 37
90.2%
폐업 2
 
4.9%
재개업 1
 
2.4%
휴업 1
 
2.4%

폐업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
39 
20090929
 
1
20091020
 
1

Length

Max length8
Median length4
Mean length4.195122
Min length4

Unique

Unique2 ?
Unique (%)4.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20090929

Common Values

ValueCountFrequency (%)
<NA> 39
95.1%
20090929 1
 
2.4%
20091020 1
 
2.4%

Length

2024-04-30T04:53:40.582133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:40.685842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
95.1%
20090929 1
 
2.4%
20091020 1
 
2.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
40 
20070808
 
1

Length

Max length8
Median length4
Mean length4.097561
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
97.6%
20070808 1
 
2.4%

Length

2024-04-30T04:53:40.803789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:40.904172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
97.6%
20070808 1
 
2.4%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

전화번호
Categorical

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
24 
3030065
8 
302-5573
3 
0221268421
 
1
372-3022
 
1
Other values (4)
4 

Length

Max length11
Median length4
Mean length5.6097561
Min length4

Unique

Unique6 ?
Unique (%)14.6%

Sample

1st row3030065
2nd row3030065
3rd row3030065
4th row<NA>
5th row0221268421

Common Values

ValueCountFrequency (%)
<NA> 24
58.5%
3030065 8
 
19.5%
302-5573 3
 
7.3%
0221268421 1
 
2.4%
372-3022 1
 
2.4%
02-302-5573 1
 
2.4%
3082291 1
 
2.4%
3736667 1
 
2.4%
02-373-6667 1
 
2.4%

Length

2024-04-30T04:53:41.010183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:41.122876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
58.5%
3030065 8
 
19.5%
302-5573 3
 
7.3%
0221268421 1
 
2.4%
372-3022 1
 
2.4%
02-302-5573 1
 
2.4%
3082291 1
 
2.4%
3736667 1
 
2.4%
02-373-6667 1
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)24.3%
Missing4
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean120376.35
Minimum120020
Maximum120770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:53:41.217728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120020
5-th percentile120084
Q1120130
median120130
Q3120759
95-th percentile120759
Maximum120770
Range750
Interquartile range (IQR)629

Descriptive statistics

Standard deviation319.52962
Coefficient of variation (CV)0.0026544219
Kurtosis-1.9245734
Mean120376.35
Median Absolute Deviation (MAD)20
Skewness0.38270328
Sum4453925
Variance102099.18
MonotonicityNot monotonic
2024-04-30T04:53:41.308668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
120130 15
36.6%
120759 13
31.7%
120020 2
 
4.9%
120110 2
 
4.9%
120715 1
 
2.4%
120100 1
 
2.4%
120770 1
 
2.4%
120131 1
 
2.4%
120132 1
 
2.4%
(Missing) 4
 
9.8%
ValueCountFrequency (%)
120020 2
 
4.9%
120100 1
 
2.4%
120110 2
 
4.9%
120130 15
36.6%
120131 1
 
2.4%
120132 1
 
2.4%
120715 1
 
2.4%
120759 13
31.7%
120770 1
 
2.4%
ValueCountFrequency (%)
120770 1
 
2.4%
120759 13
31.7%
120715 1
 
2.4%
120132 1
 
2.4%
120131 1
 
2.4%
120130 15
36.6%
120110 2
 
4.9%
120100 1
 
2.4%
120020 2
 
4.9%

지번주소
Categorical

Distinct17
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
서울특별시 서대문구 연희동 700-15번지 대림상가 106호
13 
서울특별시 서대문구 북가좌동 343-1번지
8 
서울특별시 서대문구 북가좌동 313-17번지
6 
서울특별시 서대문구 연희동 700번지 대림아파트상가 106호
 
1
서울특별시 서대문구 충정로3가 139번지 동아일보사건물 16층
 
1
Other values (12)
12 

Length

Max length36
Median length33
Mean length28.707317
Min length20

Unique

Unique14 ?
Unique (%)34.1%

Sample

1st row서울특별시 서대문구 북가좌동 343-1번지
2nd row서울특별시 서대문구 북가좌동 343-1번지
3rd row서울특별시 서대문구 북가좌동 343-1번지
4th row서울특별시 서대문구 연희동 700-15번지 대림상가 106호
5th row서울특별시 서대문구 충정로3가 139번지 동아일보사건물 16층

Common Values

ValueCountFrequency (%)
서울특별시 서대문구 연희동 700-15번지 대림상가 106호 13
31.7%
서울특별시 서대문구 북가좌동 343-1번지 8
19.5%
서울특별시 서대문구 북가좌동 313-17번지 6
14.6%
서울특별시 서대문구 연희동 700번지 대림아파트상가 106호 1
 
2.4%
서울특별시 서대문구 충정로3가 139번지 동아일보사건물 16층 1
 
2.4%
서울특별시 서대문구 미근동 21-1 번지 KT&G내 1
 
2.4%
서울특별시 서대문구 홍은동 산 11-54 번지 1
 
2.4%
서울특별시 서대문구 미근동 21-1 번지 KT&G빌딩 203호 1
 
2.4%
서울특별시 서대문구 남가좌동 381번지 1
 
2.4%
서울특별시 서대문구 북가좌동 309-1번지 보영빌딩3층 1
 
2.4%
Other values (7) 7
17.1%

Length

2024-04-30T04:53:41.431096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 41
19.5%
서대문구 41
19.5%
북가좌동 18
8.6%
연희동 16
 
7.6%
대림상가 14
 
6.7%
106호 14
 
6.7%
700-15번지 13
 
6.2%
343-1번지 8
 
3.8%
313-17번지 6
 
2.9%
홍은동 3
 
1.4%
Other values (31) 36
17.1%

도로명주소
Categorical

Distinct13
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
서울특별시 서대문구 연희로 204 (연희동)
13 
서울특별시 서대문구 증가로 259 (북가좌동)
8 
<NA>
6 
서울특별시 서대문구 거북골로20길 43-25 (북가좌동)
5 
서울특별시 서대문구 충정로 29 (충정로3가,동아일보사건물 16층)
 
1
Other values (8)
8 

Length

Max length49
Median length39
Mean length24.902439
Min length4

Unique

Unique9 ?
Unique (%)22.0%

Sample

1st row서울특별시 서대문구 증가로 259 (북가좌동)
2nd row서울특별시 서대문구 증가로 259 (북가좌동)
3rd row서울특별시 서대문구 증가로 259 (북가좌동)
4th row서울특별시 서대문구 연희로 204 (연희동)
5th row서울특별시 서대문구 충정로 29 (충정로3가,동아일보사건물 16층)

Common Values

ValueCountFrequency (%)
서울특별시 서대문구 연희로 204 (연희동) 13
31.7%
서울특별시 서대문구 증가로 259 (북가좌동) 8
19.5%
<NA> 6
14.6%
서울특별시 서대문구 거북골로20길 43-25 (북가좌동) 5
 
12.2%
서울특별시 서대문구 충정로 29 (충정로3가,동아일보사건물 16층) 1
 
2.4%
서울특별시 서대문구 거북골로 120, 205동 103호 (남가좌동, 가재울센트레빌(아)) 1
 
2.4%
서울특별시 서대문구 거북골로20길 43-25 (북가좌동) 1
 
2.4%
서울특별시 서대문구 응암로 87 (북가좌동,보영빌딩3층) 1
 
2.4%
서울특별시 서대문구 응암로 146, 301호 (북가좌동) 1
 
2.4%
서울특별시 서대문구 응암로 101, 201호 (북가좌동, 주현주택) 1
 
2.4%
Other values (3) 3
 
7.3%

Length

2024-04-30T04:53:41.530733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 35
18.1%
서대문구 35
18.1%
북가좌동 16
8.3%
연희동 14
 
7.3%
연희로 13
 
6.7%
204 13
 
6.7%
증가로 8
 
4.1%
259 8
 
4.1%
43-25 6
 
3.1%
na 6
 
3.1%
Other values (31) 39
20.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)36.4%
Missing19
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean99385.545
Minimum3607
Maximum120814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:53:41.609916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3607
5-th percentile3656.15
Q1120132
median120759
Q3120759
95-th percentile120769.45
Maximum120814
Range117207
Interquartile range (IQR)627

Descriptive statistics

Standard deviation46188.496
Coefficient of variation (CV)0.46474058
Kurtosis1.24939
Mean99385.545
Median Absolute Deviation (MAD)0
Skewness-1.7730872
Sum2186482
Variance2.1333772 × 109
MonotonicityNot monotonic
2024-04-30T04:53:41.718255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
120759 13
31.7%
120132 3
 
7.3%
120770 1
 
2.4%
120814 1
 
2.4%
3678 1
 
2.4%
3607 1
 
2.4%
3655 1
 
2.4%
3695 1
 
2.4%
(Missing) 19
46.3%
ValueCountFrequency (%)
3607 1
 
2.4%
3655 1
 
2.4%
3678 1
 
2.4%
3695 1
 
2.4%
120132 3
 
7.3%
120759 13
31.7%
120770 1
 
2.4%
120814 1
 
2.4%
ValueCountFrequency (%)
120814 1
 
2.4%
120770 1
 
2.4%
120759 13
31.7%
120132 3
 
7.3%
3695 1
 
2.4%
3678 1
 
2.4%
3655 1
 
2.4%
3607 1
 
2.4%

사업장명
Categorical

Distinct17
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
거리개발(주)
15 
건부산업(주)
8 
(주)보운환경
4 
(주)형제환경
 
1
마이트앤메인(주)
 
1
Other values (12)
12 

Length

Max length9
Median length7
Mean length7.097561
Min length4

Unique

Unique14 ?
Unique (%)34.1%

Sample

1st row건부산업(주)
2nd row건부산업(주)
3rd row건부산업(주)
4th row거리개발(주)
5th row마이트앤메인(주)

Common Values

ValueCountFrequency (%)
거리개발(주) 15
36.6%
건부산업(주) 8
19.5%
(주)보운환경 4
 
9.8%
(주)형제환경 1
 
2.4%
마이트앤메인(주) 1
 
2.4%
(주)범일로지스 1
 
2.4%
다빈건설(주) 1
 
2.4%
범일로지스 1
 
2.4%
(주)성림에너지 1
 
2.4%
두진토건(주) 1
 
2.4%
Other values (7) 7
17.1%

Length

2024-04-30T04:53:41.819035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거리개발(주 15
35.7%
건부산업(주 8
19.0%
주)보운환경 4
 
9.5%
보운환경(주 1
 
2.4%
승마 1
 
2.4%
주)부중산업 1
 
2.4%
주)정빈환경개발 1
 
2.4%
하늘환경 1
 
2.4%
예천환경산업(주 1
 
2.4%
씨와이환경(주 1
 
2.4%
Other values (8) 8
19.0%

최종수정일자
Categorical

Distinct17
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
2011-10-30 13:49:27
13 
2010-03-15 15:38:33
8 
2007-07-21 10:47:44
4 
2014-09-02 14:20:22
3 
2014-08-18 17:59:25
 
1
Other values (12)
12 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique13 ?
Unique (%)31.7%

Sample

1st row2010-03-15 15:38:33
2nd row2010-03-15 15:38:33
3rd row2010-03-15 15:38:33
4th row2011-10-30 13:49:27
5th row2009-09-30 18:49:42

Common Values

ValueCountFrequency (%)
2011-10-30 13:49:27 13
31.7%
2010-03-15 15:38:33 8
19.5%
2007-07-21 10:47:44 4
 
9.8%
2014-09-02 14:20:22 3
 
7.3%
2014-08-18 17:59:25 1
 
2.4%
2009-09-30 18:49:42 1
 
2.4%
2014-08-20 16:33:59 1
 
2.4%
2009-08-17 11:06:59 1
 
2.4%
2007-08-09 13:13:17 1
 
2.4%
2012-05-10 17:12:26 1
 
2.4%
Other values (7) 7
17.1%

Length

2024-04-30T04:53:41.914686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2011-10-30 13
15.9%
13:49:27 13
15.9%
2010-03-15 8
 
9.8%
15:38:33 8
 
9.8%
2007-07-21 4
 
4.9%
10:47:44 4
 
4.9%
2014-09-02 3
 
3.7%
14:20:22 3
 
3.7%
16:32:22 1
 
1.2%
14:41:43 1
 
1.2%
Other values (24) 24
29.3%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
I
37 
U
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 37
90.2%
U 4
 
9.8%

Length

2024-04-30T04:53:42.038421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:42.123056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 37
90.2%
u 4
 
9.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
2018-08-31 23:59:59.0
37 
2023-12-02 00:02:00.0
 
1
2021-12-06 23:05:00.0
 
1
2021-12-08 23:08:00.0
 
1
2021-12-06 23:02:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique4 ?
Unique (%)9.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 37
90.2%
2023-12-02 00:02:00.0 1
 
2.4%
2021-12-06 23:05:00.0 1
 
2.4%
2021-12-08 23:08:00.0 1
 
2.4%
2021-12-06 23:02:00.0 1
 
2.4%

Length

2024-04-30T04:53:42.217192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:42.323699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 37
45.1%
23:59:59.0 37
45.1%
2021-12-06 2
 
2.4%
2023-12-02 1
 
1.2%
00:02:00.0 1
 
1.2%
23:05:00.0 1
 
1.2%
2021-12-08 1
 
1.2%
23:08:00.0 1
 
1.2%
23:02:00.0 1
 
1.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)29.7%
Missing4
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean193282.09
Minimum191957.89
Maximum196694.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:53:42.415457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191957.89
5-th percentile191957.89
Q1192079.37
median193191.4
Q3194297.83
95-th percentile194562.81
Maximum196694.51
Range4736.6205
Interquartile range (IQR)2218.4664

Descriptive statistics

Standard deviation1277.7604
Coefficient of variation (CV)0.0066108574
Kurtosis-0.5485932
Mean193282.09
Median Absolute Deviation (MAD)1106.4287
Skewness0.51694914
Sum7151437.4
Variance1632671.5
MonotonicityNot monotonic
2024-04-30T04:53:42.510984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
194297.832937369 15
36.6%
192079.366557621 8
19.5%
191957.888065159 6
 
14.6%
196694.508582738 1
 
2.4%
192480.02944094 1
 
2.4%
192128.584664642 1
 
2.4%
192456.366937727 1
 
2.4%
192210.660533043 1
 
2.4%
195622.706674872 1
 
2.4%
193191.404278407 1
 
2.4%
(Missing) 4
 
9.8%
ValueCountFrequency (%)
191957.888065159 6
 
14.6%
192079.366557621 8
19.5%
192128.584664642 1
 
2.4%
192210.660533043 1
 
2.4%
192456.366937727 1
 
2.4%
192480.02944094 1
 
2.4%
193191.404278407 1
 
2.4%
193803.424181589 1
 
2.4%
194297.832937369 15
36.6%
195622.706674872 1
 
2.4%
ValueCountFrequency (%)
196694.508582738 1
 
2.4%
195622.706674872 1
 
2.4%
194297.832937369 15
36.6%
193803.424181589 1
 
2.4%
193191.404278407 1
 
2.4%
192480.02944094 1
 
2.4%
192456.366937727 1
 
2.4%
192210.660533043 1
 
2.4%
192128.584664642 1
 
2.4%
192079.366557621 8
19.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)29.7%
Missing4
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean452981.72
Minimum451070.36
Maximum455071.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:53:42.603973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451070.36
5-th percentile452570.31
Q1452570.31
median453095.63
Q3453483.79
95-th percentile453662.94
Maximum455071.88
Range4001.5238
Interquartile range (IQR)913.4749

Descriptive statistics

Standard deviation622.50719
Coefficient of variation (CV)0.0013742435
Kurtosis4.136918
Mean452981.72
Median Absolute Deviation (MAD)525.32006
Skewness0.33893995
Sum16760324
Variance387515.2
MonotonicityNot monotonic
2024-04-30T04:53:42.703420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
452570.312592501 15
36.6%
453483.787496388 8
19.5%
453095.63265739 6
 
14.6%
451070.359709608 1
 
2.4%
452634.55767379 1
 
2.4%
453169.984981269 1
 
2.4%
453652.460124417 1
 
2.4%
453297.445396786 1
 
2.4%
455071.883539366 1
 
2.4%
453704.87557787 1
 
2.4%
(Missing) 4
 
9.8%
ValueCountFrequency (%)
451070.359709608 1
 
2.4%
452570.312592501 15
36.6%
452634.55767379 1
 
2.4%
452723.457356207 1
 
2.4%
453095.63265739 6
 
14.6%
453169.984981269 1
 
2.4%
453297.445396786 1
 
2.4%
453483.787496388 8
19.5%
453652.460124417 1
 
2.4%
453704.87557787 1
 
2.4%
ValueCountFrequency (%)
455071.883539366 1
 
2.4%
453704.87557787 1
 
2.4%
453652.460124417 1
 
2.4%
453483.787496388 8
19.5%
453297.445396786 1
 
2.4%
453169.984981269 1
 
2.4%
453095.63265739 6
 
14.6%
452723.457356207 1
 
2.4%
452634.55767379 1
 
2.4%
452570.312592501 15
36.6%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
건설폐기물처리업사업계획(허가)신청
37 
<NA>
4 

Length

Max length18
Median length18
Mean length16.634146
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 37
90.2%
<NA> 4
 
9.8%

Length

2024-04-30T04:53:42.822043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:42.929890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 37
90.2%
na 4
 
9.8%

폐기물처리업구분명
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
33 
수집운반업(건설폐기물)
8 

Length

Max length12
Median length4
Mean length5.5609756
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row수집운반업(건설폐기물)

Common Values

ValueCountFrequency (%)
<NA> 33
80.5%
수집운반업(건설폐기물) 8
 
19.5%

Length

2024-04-30T04:53:43.039052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:43.146778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
80.5%
수집운반업(건설폐기물 8
 
19.5%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

폐기물구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing40
Missing (%)97.6%
Memory size460.0 B
2024-04-30T04:53:43.269856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row건설폐기물
ValueCountFrequency (%)
건설폐기물 1
100.0%
2024-04-30T04:53:43.647413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

허용보관량
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
0
 
2
3000
 
1

Length

Max length4
Median length4
Mean length3.8536585
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row3000

Common Values

ValueCountFrequency (%)
<NA> 38
92.7%
0 2
 
4.9%
3000 1
 
2.4%

Length

2024-04-30T04:53:43.740743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:53:43.828744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
0 2
 
4.9%
3000 1
 
2.4%

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
0312000031200009220050000120051207<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3030065<NA>120130서울특별시 서대문구 북가좌동 343-1번지서울특별시 서대문구 증가로 259 (북가좌동)<NA>건부산업(주)2010-03-15 15:38:33I2018-08-31 23:59:59.0<NA>192079.366558453483.787496건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
1312000031200009220050000220051213<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3030065<NA>120130서울특별시 서대문구 북가좌동 343-1번지서울특별시 서대문구 증가로 259 (북가좌동)<NA>건부산업(주)2010-03-15 15:38:33I2018-08-31 23:59:59.0<NA>192079.366558453483.787496건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
2312000031200009220050000320051213<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3030065<NA>120130서울특별시 서대문구 북가좌동 343-1번지서울특별시 서대문구 증가로 259 (북가좌동)<NA>건부산업(주)2010-03-15 15:38:33I2018-08-31 23:59:59.0<NA>192079.366558453483.787496건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
3312000031200009220050000420060329<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120759서울특별시 서대문구 연희동 700-15번지 대림상가 106호서울특별시 서대문구 연희로 204 (연희동)120759거리개발(주)2011-10-30 13:49:27I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
4312000031200009220050000520051121<NA>3폐업2폐업20090929<NA><NA><NA>0221268421<NA>120715서울특별시 서대문구 충정로3가 139번지 동아일보사건물 16층서울특별시 서대문구 충정로 29 (충정로3가,동아일보사건물 16층)<NA>마이트앤메인(주)2009-09-30 18:49:42I2018-08-31 23:59:59.0<NA>196694.508583451070.35971건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>3000<NA>
5312000031200009220060000120060116<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120759서울특별시 서대문구 연희동 700-15번지 대림상가 106호서울특별시 서대문구 연희로 204 (연희동)120759거리개발(주)2011-10-30 13:49:27I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
6312000031200009220060000220060119<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120759서울특별시 서대문구 연희동 700-15번지 대림상가 106호서울특별시 서대문구 연희로 204 (연희동)120759거리개발(주)2011-10-30 13:49:27I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
7312000031200009220060000320060210<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120759서울특별시 서대문구 연희동 700-15번지 대림상가 106호서울특별시 서대문구 연희로 204 (연희동)120759거리개발(주)2011-10-30 13:49:27I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
8312000031200009220060000420060214<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120759서울특별시 서대문구 연희동 700-15번지 대림상가 106호서울특별시 서대문구 연희로 204 (연희동)120759거리개발(주)2011-10-30 13:49:27I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
9312000031200009220060000520060221<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120020서울특별시 서대문구 미근동 21-1 번지 KT&G내<NA><NA>(주)범일로지스2007-07-21 10:47:44I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>건설폐기물0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
31312000031200009220070000620070220<NA>1영업/정상BBBB영업<NA><NA><NA><NA>302-5573<NA>120130서울특별시 서대문구 북가좌동 313-17번지서울특별시 서대문구 거북골로20길 43-25 (북가좌동)120132(주)보운환경2014-09-02 14:20:22I2018-08-31 23:59:59.0<NA>191957.888065453095.632657건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
32312000031200009220070000720070425<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-302-5573<NA>120130서울특별시 서대문구 북가좌동 313-17번지서울특별시 서대문구 거북골로20길 43-25 (북가좌동)120814(주)보운환경2012-05-10 17:12:26I2018-08-31 23:59:59.0<NA>191957.888065453095.632657건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
33312000031200009220070000820070523<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>120110서울특별시 서대문구 연희동 700번지 대림아파트상가 106호<NA><NA>거리개발(주)2007-07-21 10:47:44I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
34312000031200009220070000920070627<NA>3폐업2폐업20091020<NA><NA><NA><NA><NA>120110서울특별시 서대문구 연희동 700번지 대림상가<NA><NA>거리개발(주)2009-10-20 16:48:20I2018-08-31 23:59:59.0<NA>194297.832937452570.312593건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
35312000031200009220090000120090604<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3082291<NA>120131서울특별시 서대문구 북가좌동 309-1번지 보영빌딩3층서울특별시 서대문구 응암로 87 (북가좌동,보영빌딩3층)<NA>두진토건(주)2009-06-04 14:41:43I2018-08-31 23:59:59.0<NA>192128.584665453169.984981건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
36312000031200009220090000220090818<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3736667<NA>120132서울특별시 서대문구 북가좌동 351-2번지 301호서울특별시 서대문구 응암로 146, 301호 (북가좌동)<NA>씨와이환경(주)2011-01-12 16:44:07I2018-08-31 23:59:59.0<NA>192456.366938453652.460124건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
3731200003120000922011000012011-08-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-373-6667<NA><NA>서울특별시 서대문구 북가좌동 327-12 주현주택서울특별시 서대문구 응암로 101, 201호 (북가좌동, 주현주택)3678예천환경산업(주)2024-01-31 14:56:00U2023-12-02 00:02:00.0<NA>192210.660533453297.445397<NA><NA><NA><NA><NA><NA>
38312000031200009220170000120170517<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 8-463서울특별시 서대문구 포방터2라길 14 (홍은동)3607하늘환경2022-07-13 16:32:22U2021-12-06 23:05:00.0<NA>195622.706675455071.883539<NA><NA><NA><NA><NA><NA>
39312000031200009220190000120190116<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 338-7 동천빌라 제지층 제2호서울특별시 서대문구 가좌로4길 9, 제지층 제2호 (홍은동, 동천빌라)3655(주)정빈환경개발2022-09-16 10:38:20U2021-12-08 23:08:00.0<NA>193191.404278453704.875578<NA><NA><NA><NA><NA><NA>
40312000031200009220220000120220708<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 717-29 한인트윈빌 B-5호서울특별시 서대문구 홍연길 77, B-5호 (연희동, 한인트윈빌)3695승마 주식회사2022-07-08 17:33:39U2021-12-06 23:02:00.0<NA>193803.424182452723.457356<NA><NA><NA><NA><NA><NA>