Overview

Dataset statistics

Number of variables31
Number of observations45
Missing cells495
Missing cells (%)35.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory266.9 B

Variable types

Categorical10
Numeric3
DateTime3
Unsupported9
Text6

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19317/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (56.7%)Imbalance
영업상태명 is highly imbalanced (56.7%)Imbalance
상세영업상태코드 is highly imbalanced (56.7%)Imbalance
상세영업상태명 is highly imbalanced (56.7%)Imbalance
폐업일자 is highly imbalanced (73.7%)Imbalance
허용보관량 is highly imbalanced (50.2%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
전화번호 has 21 (46.7%) missing valuesMissing
소재지면적 has 45 (100.0%) missing valuesMissing
소재지우편번호 has 22 (48.9%) missing valuesMissing
도로명주소 has 12 (26.7%) missing valuesMissing
도로명우편번호 has 23 (51.1%) missing valuesMissing
업태구분명 has 45 (100.0%) missing valuesMissing
좌표정보(X) has 6 (13.3%) missing valuesMissing
좌표정보(Y) has 6 (13.3%) missing valuesMissing
폐기물처리업별처리구분명 has 45 (100.0%) missing valuesMissing
폐기물구분명 has 45 (100.0%) missing valuesMissing
허용보관량내용 has 45 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 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
폐기물구분명 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 started2024-04-06 11:53:49.388381
Analysis finished2024-04-06 11:53:50.180357
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3150000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 45
100.0%

Length

2024-04-06T20:53:50.280443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:53:50.520333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 45
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1500009 × 1017
Minimum3.1500009 × 1017
Maximum3.1500009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:53:50.814933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1500009 × 1017
5-th percentile3.1500009 × 1017
Q13.1500009 × 1017
median3.1500009 × 1017
Q33.1500009 × 1017
95-th percentile3.1500009 × 1017
Maximum3.1500009 × 1017
Range2899995
Interquartile range (IQR)1200000

Descriptive statistics

Standard deviation811174.04
Coefficient of variation (CV)2.5751549 × 10-12
Kurtosis-0.7622016
Mean3.1500009 × 1017
Median Absolute Deviation (MAD)500032
Skewness-0.015748802
Sum-4.2717399 × 1018
Variance6.5800333 × 1011
MonotonicityStrictly increasing
2024-04-06T20:53:51.114112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
315000092199500006 1
 
2.2%
315000092201900003 1
 
2.2%
315000092200900006 1
 
2.2%
315000092201000002 1
 
2.2%
315000092201000003 1
 
2.2%
315000092201100003 1
 
2.2%
315000092201200003 1
 
2.2%
315000092201300001 1
 
2.2%
315000092201500001 1
 
2.2%
315000092201900001 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
315000092199500006 1
2.2%
315000092199500007 1
2.2%
315000092199500008 1
2.2%
315000092199900001 1
2.2%
315000092200000001 1
2.2%
315000092200100003 1
2.2%
315000092200100004 1
2.2%
315000092200300001 1
2.2%
315000092200400002 1
2.2%
315000092200500003 1
2.2%
ValueCountFrequency (%)
315000092202400001 1
2.2%
315000092202200005 1
2.2%
315000092202200004 1
2.2%
315000092202200003 1
2.2%
315000092202200002 1
2.2%
315000092202200001 1
2.2%
315000092202100003 1
2.2%
315000092202100002 1
2.2%
315000092202100001 1
2.2%
315000092202000001 1
2.2%

인허가일자
Date

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum1995-03-23 00:00:00
Maximum2024-03-08 00:00:00
2024-04-06T20:53:51.401179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:53:51.619389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
1
41 
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
91.1%
3 4
 
8.9%

Length

2024-04-06T20:53:51.809216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:53:51.978743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
91.1%
3 4
 
8.9%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업/정상
41 
폐업
 
4

Length

Max length5
Median length5
Mean length4.7333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 41
91.1%
폐업 4
 
8.9%

Length

2024-04-06T20:53:52.192115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:53:52.357852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
91.1%
폐업 4
 
8.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
BBBB
41 
2
 
4

Length

Max length4
Median length4
Mean length3.7333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 41
91.1%
2 4
 
8.9%

Length

2024-04-06T20:53:52.534099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:53:52.715874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 41
91.1%
2 4
 
8.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업
41 
폐업
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 41
91.1%
폐업 4
 
8.9%

Length

2024-04-06T20:53:52.920533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:53:53.122693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 41
91.1%
폐업 4
 
8.9%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
41 
20080904
 
1
20071121
 
1
20190823
 
1
20130125
 
1

Length

Max length8
Median length4
Mean length4.3555556
Min length4

Unique

Unique4 ?
Unique (%)8.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
91.1%
20080904 1
 
2.2%
20071121 1
 
2.2%
20190823 1
 
2.2%
20130125 1
 
2.2%

Length

2024-04-06T20:53:53.352262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:53:53.609887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
91.1%
20080904 1
 
2.2%
20071121 1
 
2.2%
20190823 1
 
2.2%
20130125 1
 
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Text

MISSING 

Distinct22
Distinct (%)91.7%
Missing21
Missing (%)46.7%
Memory size492.0 B
2024-04-06T20:53:53.906868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.75
Min length8

Characters and Unicode

Total characters234
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st row0236626116
2nd row36620404
3rd row02-2663-5746
4th row0226662201
5th row0226657795
ValueCountFrequency (%)
26618460 2
 
8.3%
2665-6266 2
 
8.3%
0236626116 1
 
4.2%
974-1861 1
 
4.2%
02-2632-1774 1
 
4.2%
02-2663-2413 1
 
4.2%
0236648800 1
 
4.2%
02-2663-4005 1
 
4.2%
02-2662-2475 1
 
4.2%
0226669915 1
 
4.2%
Other values (12) 12
50.0%
2024-04-06T20:53:54.483324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 61
26.1%
2 50
21.4%
0 27
11.5%
1 18
 
7.7%
- 17
 
7.3%
4 13
 
5.6%
3 13
 
5.6%
5 12
 
5.1%
8 10
 
4.3%
7 8
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 217
92.7%
Dash Punctuation 17
 
7.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 61
28.1%
2 50
23.0%
0 27
12.4%
1 18
 
8.3%
4 13
 
6.0%
3 13
 
6.0%
5 12
 
5.5%
8 10
 
4.6%
7 8
 
3.7%
9 5
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 61
26.1%
2 50
21.4%
0 27
11.5%
1 18
 
7.7%
- 17
 
7.3%
4 13
 
5.6%
3 13
 
5.6%
5 12
 
5.1%
8 10
 
4.3%
7 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 61
26.1%
2 50
21.4%
0 27
11.5%
1 18
 
7.7%
- 17
 
7.3%
4 13
 
5.6%
3 13
 
5.6%
5 12
 
5.1%
8 10
 
4.3%
7 8
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)65.2%
Missing22
Missing (%)48.9%
Memory size492.0 B
2024-04-06T20:53:54.749841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2173913
Min length6

Characters and Unicode

Total characters143
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st row157200
2nd row157-230
3rd row157220
4th row157290
5th row410315
ValueCountFrequency (%)
157290 4
17.4%
157-230 3
13.0%
157200 2
 
8.7%
157220 2
 
8.7%
157240 2
 
8.7%
410315 1
 
4.3%
157-290 1
 
4.3%
157223 1
 
4.3%
157936 1
 
4.3%
157210 1
 
4.3%
Other values (5) 5
21.7%
2024-04-06T20:53:55.279306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27
18.9%
5 24
16.8%
7 22
15.4%
2 22
15.4%
0 19
13.3%
9 8
 
5.6%
3 7
 
4.9%
- 5
 
3.5%
4 5
 
3.5%
8 3
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
96.5%
Dash Punctuation 5
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
19.6%
5 24
17.4%
7 22
15.9%
2 22
15.9%
0 19
13.8%
9 8
 
5.8%
3 7
 
5.1%
4 5
 
3.6%
8 3
 
2.2%
6 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27
18.9%
5 24
16.8%
7 22
15.4%
2 22
15.4%
0 19
13.3%
9 8
 
5.6%
3 7
 
4.9%
- 5
 
3.5%
4 5
 
3.5%
8 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27
18.9%
5 24
16.8%
7 22
15.4%
2 22
15.4%
0 19
13.3%
9 8
 
5.6%
3 7
 
4.9%
- 5
 
3.5%
4 5
 
3.5%
8 3
 
2.1%

지번주소
Text

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T20:53:55.655721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length23.711111
Min length16

Characters and Unicode

Total characters1067
Distinct characters90
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)64.4%

Sample

1st row서울특별시 강서구 가양동 1075-1번지
2nd row서울특별시 강서구 마곡동 25-9번지
3rd row서울특별시 강서구 개화동 324
4th row서울특별시 강서구 개화동 319-1
5th row서울특별시 강서구 방화동 33
ValueCountFrequency (%)
서울특별시 44
21.3%
강서구 42
20.3%
방화동 11
 
5.3%
마곡동 10
 
4.8%
개화동 6
 
2.9%
외발산동 5
 
2.4%
772-5 4
 
1.9%
리더스퀘어마곡 4
 
1.9%
392-1 3
 
1.4%
가양동 3
 
1.4%
Other values (66) 75
36.2%
2024-04-06T20:53:56.427220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
16.9%
서 87
 
8.2%
동 49
 
4.6%
시 45
 
4.2%
구 45
 
4.2%
별 44
 
4.1%
특 44
 
4.1%
울 44
 
4.1%
강 43
 
4.0%
1 41
 
3.8%
Other values (80) 445
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 660
61.9%
Decimal Number 196
 
18.4%
Space Separator 180
 
16.9%
Dash Punctuation 29
 
2.7%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 87
 
13.2%
동 49
 
7.4%
시 45
 
6.8%
구 45
 
6.8%
별 44
 
6.7%
특 44
 
6.7%
울 44
 
6.7%
강 43
 
6.5%
화 21
 
3.2%
지 18
 
2.7%
Other values (67) 220
33.3%
Decimal Number
ValueCountFrequency (%)
1 41
20.9%
2 28
14.3%
3 24
12.2%
7 22
11.2%
9 19
9.7%
5 15
 
7.7%
6 14
 
7.1%
8 12
 
6.1%
0 11
 
5.6%
4 10
 
5.1%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 660
61.9%
Common 407
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 87
 
13.2%
동 49
 
7.4%
시 45
 
6.8%
구 45
 
6.8%
별 44
 
6.7%
특 44
 
6.7%
울 44
 
6.7%
강 43
 
6.5%
화 21
 
3.2%
지 18
 
2.7%
Other values (67) 220
33.3%
Common
ValueCountFrequency (%)
180
44.2%
1 41
 
10.1%
- 29
 
7.1%
2 28
 
6.9%
3 24
 
5.9%
7 22
 
5.4%
9 19
 
4.7%
5 15
 
3.7%
6 14
 
3.4%
8 12
 
2.9%
Other values (3) 23
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 660
61.9%
ASCII 407
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
44.2%
1 41
 
10.1%
- 29
 
7.1%
2 28
 
6.9%
3 24
 
5.9%
7 22
 
5.4%
9 19
 
4.7%
5 15
 
3.7%
6 14
 
3.4%
8 12
 
2.9%
Other values (3) 23
 
5.7%
Hangul
ValueCountFrequency (%)
서 87
 
13.2%
동 49
 
7.4%
시 45
 
6.8%
구 45
 
6.8%
별 44
 
6.7%
특 44
 
6.7%
울 44
 
6.7%
강 43
 
6.5%
화 21
 
3.2%
지 18
 
2.7%
Other values (67) 220
33.3%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)90.9%
Missing12
Missing (%)26.7%
Memory size492.0 B
2024-04-06T20:53:56.910396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length35.121212
Min length23

Characters and Unicode

Total characters1159
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)81.8%

Sample

1st row서울특별시 강서구 금낭화로26가길 152-10 (개화동)
2nd row서울특별시 강서구 금낭화로26가길 152-78 (개화동)
3rd row서울특별시 강서구 공항대로41길 51, 세신그린코아빌딩 508호 (등촌동)
4th row서울특별시 강서구 양천로27길 121, 2층 (방화동)
5th row서울특별시 강서구 양천로 28 (방화동)
ValueCountFrequency (%)
서울특별시 32
 
15.3%
강서구 30
 
14.4%
방화동 9
 
4.3%
마곡동 7
 
3.3%
금낭화로26가길 4
 
1.9%
개화동 4
 
1.9%
공항대로 4
 
1.9%
2층 4
 
1.9%
152-126 3
 
1.4%
마곡중앙6로 3
 
1.4%
Other values (93) 109
52.2%
2024-04-06T20:53:57.674411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
15.8%
서 64
 
5.5%
1 54
 
4.7%
동 42
 
3.6%
2 36
 
3.1%
( 34
 
2.9%
) 34
 
2.9%
구 33
 
2.8%
화 33
 
2.8%
시 33
 
2.8%
Other values (97) 613
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
56.8%
Decimal Number 213
 
18.4%
Space Separator 183
 
15.8%
Open Punctuation 34
 
2.9%
Close Punctuation 34
 
2.9%
Other Punctuation 22
 
1.9%
Dash Punctuation 12
 
1.0%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 64
 
9.7%
동 42
 
6.4%
구 33
 
5.0%
화 33
 
5.0%
시 33
 
5.0%
울 32
 
4.9%
로 32
 
4.9%
강 32
 
4.9%
특 32
 
4.9%
별 32
 
4.9%
Other values (79) 293
44.5%
Decimal Number
ValueCountFrequency (%)
1 54
25.4%
2 36
16.9%
6 25
11.7%
5 25
11.7%
3 19
 
8.9%
0 18
 
8.5%
4 14
 
6.6%
7 10
 
4.7%
8 7
 
3.3%
9 5
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
G 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
56.8%
Common 498
43.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 64
 
9.7%
동 42
 
6.4%
구 33
 
5.0%
화 33
 
5.0%
시 33
 
5.0%
울 32
 
4.9%
로 32
 
4.9%
강 32
 
4.9%
특 32
 
4.9%
별 32
 
4.9%
Other values (79) 293
44.5%
Common
ValueCountFrequency (%)
183
36.7%
1 54
 
10.8%
2 36
 
7.2%
( 34
 
6.8%
) 34
 
6.8%
6 25
 
5.0%
5 25
 
5.0%
, 22
 
4.4%
3 19
 
3.8%
0 18
 
3.6%
Other values (5) 48
 
9.6%
Latin
ValueCountFrequency (%)
C 1
33.3%
G 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
56.8%
ASCII 501
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
36.5%
1 54
 
10.8%
2 36
 
7.2%
( 34
 
6.8%
) 34
 
6.8%
6 25
 
5.0%
5 25
 
5.0%
, 22
 
4.4%
3 19
 
3.8%
0 18
 
3.6%
Other values (8) 51
 
10.2%
Hangul
ValueCountFrequency (%)
서 64
 
9.7%
동 42
 
6.4%
구 33
 
5.0%
화 33
 
5.0%
시 33
 
5.0%
울 32
 
4.9%
로 32
 
4.9%
강 32
 
4.9%
특 32
 
4.9%
별 32
 
4.9%
Other values (79) 293
44.5%

도로명우편번호
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing23
Missing (%)51.1%
Memory size492.0 B
2024-04-06T20:53:57.976303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2272727
Min length5

Characters and Unicode

Total characters115
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)50.0%

Sample

1st row07501
2nd row157-230
3rd row07586
4th row07518
5th row02558
ValueCountFrequency (%)
07802 5
22.7%
07501 2
 
9.1%
07586 2
 
9.1%
07518 2
 
9.1%
157-230 1
 
4.5%
02558 1
 
4.5%
157851 1
 
4.5%
157-240 1
 
4.5%
07714 1
 
4.5%
07605 1
 
4.5%
Other values (5) 5
22.7%
2024-04-06T20:53:58.509908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
26.1%
7 24
20.9%
5 16
13.9%
8 13
11.3%
1 11
 
9.6%
2 9
 
7.8%
6 6
 
5.2%
- 2
 
1.7%
3 2
 
1.7%
4 2
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113
98.3%
Dash Punctuation 2
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
26.5%
7 24
21.2%
5 16
14.2%
8 13
11.5%
1 11
 
9.7%
2 9
 
8.0%
6 6
 
5.3%
3 2
 
1.8%
4 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
26.1%
7 24
20.9%
5 16
13.9%
8 13
11.3%
1 11
 
9.6%
2 9
 
7.8%
6 6
 
5.2%
- 2
 
1.7%
3 2
 
1.7%
4 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
26.1%
7 24
20.9%
5 16
13.9%
8 13
11.3%
1 11
 
9.6%
2 9
 
7.8%
6 6
 
5.2%
- 2
 
1.7%
3 2
 
1.7%
4 2
 
1.7%

사업장명
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T20:53:58.939640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.1555556
Min length4

Characters and Unicode

Total characters367
Distinct characters108
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)86.7%

Sample

1st row(주)천보E.T.T
2nd row(주)청석공영
3rd row주식회사 천일에너지강서허브
4th row서울N.E.T.(주)
5th row청도환경(주)
ValueCountFrequency (%)
주식회사 5
 
9.1%
주 4
 
7.3%
주)구성환경 2
 
3.6%
태연씨엔이 2
 
3.6%
서울환경 2
 
3.6%
주)천보e.t.t 1
 
1.8%
주)에이치더블유철강 1
 
1.8%
주)건용산업개발 1
 
1.8%
대한환경 1
 
1.8%
주)인광씨앤티 1
 
1.8%
Other values (35) 35
63.6%
2024-04-06T20:53:59.696462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
9.5%
( 30
 
8.2%
) 30
 
8.2%
경 13
 
3.5%
환 11
 
3.0%
이 11
 
3.0%
10
 
2.7%
엔 8
 
2.2%
서 8
 
2.2%
에 7
 
1.9%
Other values (98) 204
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
76.0%
Open Punctuation 30
 
8.2%
Close Punctuation 30
 
8.2%
Uppercase Letter 12
 
3.3%
Space Separator 10
 
2.7%
Other Punctuation 5
 
1.4%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
12.5%
경 13
 
4.7%
환 11
 
3.9%
이 11
 
3.9%
엔 8
 
2.9%
서 8
 
2.9%
에 7
 
2.5%
사 7
 
2.5%
강 6
 
2.2%
산 6
 
2.2%
Other values (89) 167
59.9%
Uppercase Letter
ValueCountFrequency (%)
T 5
41.7%
N 3
25.0%
E 3
25.0%
C 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
76.0%
Common 76
 
20.7%
Latin 12
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
12.5%
경 13
 
4.7%
환 11
 
3.9%
이 11
 
3.9%
엔 8
 
2.9%
서 8
 
2.9%
에 7
 
2.5%
사 7
 
2.5%
강 6
 
2.2%
산 6
 
2.2%
Other values (89) 167
59.9%
Common
ValueCountFrequency (%)
( 30
39.5%
) 30
39.5%
10
 
13.2%
. 5
 
6.6%
7 1
 
1.3%
Latin
ValueCountFrequency (%)
T 5
41.7%
N 3
25.0%
E 3
25.0%
C 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
76.0%
ASCII 88
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
12.5%
경 13
 
4.7%
환 11
 
3.9%
이 11
 
3.9%
엔 8
 
2.9%
서 8
 
2.9%
에 7
 
2.5%
사 7
 
2.5%
강 6
 
2.2%
산 6
 
2.2%
Other values (89) 167
59.9%
ASCII
ValueCountFrequency (%)
( 30
34.1%
) 30
34.1%
10
 
11.4%
. 5
 
5.7%
T 5
 
5.7%
N 3
 
3.4%
E 3
 
3.4%
C 1
 
1.1%
7 1
 
1.1%

최종수정일자
Date

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2007-11-22 09:16:28
Maximum2024-04-02 09:11:13
2024-04-06T20:53:59.982226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:54:00.258596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
U
34 
I
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 34
75.6%
I 11
 
24.4%

Length

2024-04-06T20:54:00.539568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:01.082051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 34
75.6%
i 11
 
24.4%

데이터갱신일자
Date

Distinct29
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T20:54:01.267233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:54:01.510401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)79.5%
Missing6
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean185232.75
Minimum181565.67
Maximum204184.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:54:01.748649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181565.67
5-th percentile183001.98
Q1183496.82
median183586.5
Q3185138.75
95-th percentile188811.71
Maximum204184.59
Range22618.922
Interquartile range (IQR)1641.9294

Descriptive statistics

Standard deviation4615.5379
Coefficient of variation (CV)0.024917504
Kurtosis13.935612
Mean185232.75
Median Absolute Deviation (MAD)247.9155
Skewness3.735211
Sum7224077.4
Variance21303190
MonotonicityNot monotonic
2024-04-06T20:54:02.003758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
185127.285385035 4
 
8.9%
183479.955247008 2
 
4.4%
183577.155178749 2
 
4.4%
183536.753296515 2
 
4.4%
183599.007876301 2
 
4.4%
183539.687924495 2
 
4.4%
183559.440536309 1
 
2.2%
183015.932951822 1
 
2.2%
183669.359708901 1
 
2.2%
186850.824018452 1
 
2.2%
Other values (21) 21
46.7%
(Missing) 6
 
13.3%
ValueCountFrequency (%)
181565.668668 1
2.2%
182876.367858149 1
2.2%
183015.932951822 1
2.2%
183338.583360203 1
2.2%
183366.283511118 1
2.2%
183371.245085015 1
2.2%
183438.673656262 1
2.2%
183467.033171994 1
2.2%
183479.955247008 2
4.4%
183513.686920908 1
2.2%
ValueCountFrequency (%)
204184.59033017 1
2.2%
203984.137173444 1
2.2%
187125.882786229 1
2.2%
187084.103220523 1
2.2%
186850.824018452 1
2.2%
186336.003796738 1
2.2%
186301.875540288 1
2.2%
185686.391109346 1
2.2%
185264.559333333 1
2.2%
185150.215513463 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)79.5%
Missing6
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean452233.92
Minimum448841.65
Maximum464363.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T20:54:02.209877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448841.65
5-th percentile448940.61
Q1450918.11
median451895.34
Q3453227.38
95-th percentile454472.41
Maximum464363.7
Range15522.048
Interquartile range (IQR)2309.2757

Descriptive statistics

Standard deviation2942.2077
Coefficient of variation (CV)0.006505942
Kurtosis8.4077669
Mean452233.92
Median Absolute Deviation (MAD)1056.0847
Skewness2.4426325
Sum17637123
Variance8656585.9
MonotonicityNot monotonic
2024-04-06T20:54:02.481046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
450939.221091497 4
 
8.9%
453679.379510644 2
 
4.4%
450665.479424337 2
 
4.4%
448940.611613382 2
 
4.4%
449039.305048791 2
 
4.4%
453746.128937024 2
 
4.4%
453503.340942825 1
 
2.2%
452550.912617459 1
 
2.2%
451810.554385887 1
 
2.2%
450258.958284373 1
 
2.2%
Other values (21) 21
46.7%
(Missing) 6
 
13.3%
ValueCountFrequency (%)
448841.648043701 1
 
2.2%
448940.611613382 2
4.4%
448956.995895795 1
 
2.2%
449039.305048791 2
4.4%
450258.958284373 1
 
2.2%
450665.479424337 2
4.4%
450896.992532972 1
 
2.2%
450939.221091497 4
8.9%
450960.614576167 1
 
2.2%
451038.464052645 1
 
2.2%
ValueCountFrequency (%)
464363.69607831 1
2.2%
461008.914009807 1
2.2%
453746.128937024 2
4.4%
453705.701830779 1
2.2%
453679.379510644 2
4.4%
453645.127731687 1
2.2%
453586.756591684 1
2.2%
453503.340942825 1
2.2%
452951.424169547 1
2.2%
452915.963722565 1
2.2%

환경업무구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
26 
건설폐기물처리업사업계획(허가)신청
19 

Length

Max length18
Median length4
Mean length9.9111111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설폐기물처리업사업계획(허가)신청
2nd row건설폐기물처리업사업계획(허가)신청
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
57.8%
건설폐기물처리업사업계획(허가)신청 19
42.2%

Length

2024-04-06T20:54:02.816433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:03.151503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
57.8%
건설폐기물처리업사업계획(허가)신청 19
42.2%

폐기물처리업구분명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
27 
수집운반업(건설폐기물)
16 
중간처분업(건설폐기물)
 
2

Length

Max length12
Median length4
Mean length7.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
60.0%
수집운반업(건설폐기물) 16
35.6%
중간처분업(건설폐기물) 2
 
4.4%

Length

2024-04-06T20:54:03.501888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:03.860128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
60.0%
수집운반업(건설폐기물 16
35.6%
중간처분업(건설폐기물 2
 
4.4%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

폐기물구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

허용보관량
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
35 
0.0
5 
700.0
 
2
1050.0
 
2
18000.96
 
1

Length

Max length8
Median length4
Mean length4.1111111
Min length3

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row700.0
2nd row1050.0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 35
77.8%
0.0 5
 
11.1%
700.0 2
 
4.4%
1050.0 2
 
4.4%
18000.96 1
 
2.2%

Length

2024-04-06T20:54:04.137637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:04.528182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
77.8%
0.0 5
 
11.1%
700.0 2
 
4.4%
1050.0 2
 
4.4%
18000.96 1
 
2.2%

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
0315000031500009219950000619951214<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0236626116<NA>157200서울특별시 강서구 가양동 1075-1번지<NA><NA>(주)천보E.T.T2011-03-02 08:30:19I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>700.0<NA>
1315000031500009219950000719950323<NA>1영업/정상BBBB영업<NA><NA><NA><NA>36620404<NA><NA>서울특별시 강서구 마곡동 25-9번지<NA><NA>(주)청석공영2019-09-17 10:22:41U2019-09-19 02:40:00.0<NA>185264.559333452205.306건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>1050.0<NA>
231500003150000921995000081995-12-06<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2663-5746<NA>157-230서울특별시 강서구 개화동 324서울특별시 강서구 금낭화로26가길 152-10 (개화동)07501주식회사 천일에너지강서허브2024-03-19 09:35:00U2023-12-02 22:01:00.0<NA>183338.58336453705.701831<NA><NA><NA><NA><NA><NA>
331500003150000921999000012019-03-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0226662201<NA><NA>서울특별시 강서구 개화동 319-1서울특별시 강서구 금낭화로26가길 152-78 (개화동)157-230서울N.E.T.(주)2024-03-08 09:27:03U2023-12-02 23:00:00.0<NA>183539.687924453746.128937<NA><NA><NA><NA><NA><NA>
431500003150000922000000012009-12-17<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0226657795<NA><NA>서울특별시 강서구 방화동 33<NA><NA>청도환경(주)2023-12-29 14:38:01U2022-11-01 21:01:00.0<NA>183586.498859453586.756592<NA><NA><NA><NA><NA><NA>
531500003150000922001000032001-05-16<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3663-6171<NA><NA>서울특별시 강서구 등촌동 696 세신그린코아빌딩서울특별시 강서구 공항대로41길 51, 세신그린코아빌딩 508호 (등촌동)07586청한산업개발(주)2024-03-04 14:40:49U2023-12-03 00:06:00.0<NA>186301.87554450896.992533<NA><NA><NA><NA><NA><NA>
631500003150000922001000042001-03-30<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2664-0250<NA><NA>서울특별시 강서구 방화동 129-7서울특별시 강서구 양천로27길 121, 2층 (방화동)07518(주)엘케이환경건설2024-03-04 14:40:33U2023-12-03 00:06:00.0<NA>183955.66377452951.42417<NA><NA><NA><NA><NA><NA>
7315000031500009220030000120031208<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2665-0134<NA><NA>서울특별시 강서구 외발산동 392-1<NA><NA>(주)화이트대흥2022-07-21 09:59:34U2021-12-06 22:03:00.0<NA>183563.209781448956.995896<NA><NA><NA><NA><NA><NA>
8315000031500009220040000220041122<NA>3폐업2폐업20080904<NA><NA><NA><NA><NA>157220서울특별시 강서구 방화동 849번지서울특별시 강서구 양천로 28 (방화동)<NA>(주)여명엔지니어링2008-09-09 11:38:37I2018-08-31 23:59:59.0<NA>182876.367858452247.393831건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0.0<NA>
9315000031500009220050000320050613<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0226622383<NA>157290서울특별시 동대문구 전농동 682-2서울특별시 동대문구 답십리로21길 38 (전농동)02558서울환경2021-08-09 15:06:33U2021-08-11 02:40:00.0<NA>204184.59033452836.759318건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>700.0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
3531500003150000922020000012020-10-05<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 697-1 그랜드종합상가서울특별시 강서구 공항대로41길 65, 그랜드종합상가 지하1층 131호 (등촌동)07586주식회사 건양환경2023-03-23 16:17:48U2022-12-02 22:05:00.0<NA>186336.003797450960.614576<NA><NA><NA><NA><NA><NA>
3631500003150000922021000012021-01-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 598-163 301호서울특별시 강서구 방화동로 75, 301호 (방화동)07615에이치개발2024-04-02 09:11:13U2023-12-04 00:05:00.0<NA>183371.245085451664.38199<NA><NA><NA><NA><NA><NA>
37315000031500009220210000220210729<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 14-51 토피아빌딩서울특별시 강서구 화곡로 429, 토피아빌딩 402-15호 (가양동)07526(주)홍관에스와이2021-08-03 17:37:35U2021-08-05 02:40:00.0<NA>187125.882786451038.464053건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0.0<NA>
3831500003150000922021000032022-01-20<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 772-5 리더스퀘어마곡서울특별시 강서구 마곡중앙6로 45, 리더스퀘어마곡 A동 610호-G641호 (마곡동)07802주식회사 강서이엔티2023-04-13 19:53:01U2022-12-03 23:05:00.0<NA>185127.285385450939.221091<NA><NA><NA><NA><NA><NA>
39315000031500009220220000120220728<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 774-2 보타닉파크타워2서울특별시 강서구 공항대로 213, 보타닉파크타워2 1106호 (마곡동)07802주식회사 동강환경서울2022-07-28 09:41:25U2021-12-06 21:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>
40315000031500009220220000220220728<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 774-2 보타닉파크타워2서울특별시 강서구 공항대로 213, 보타닉파크타워2 1106호 (마곡동)07802유한회사 아성운수2022-07-28 13:12:48I2021-12-06 21:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>
41315000031500009220220000320220916<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2632-1774<NA><NA>서울특별시 강서구 마곡동 757 두산더랜드파크서울특별시 강서구 마곡중앙로 161-8, 두산더랜드파크 C동 1213호 (마곡동)07788(주)부국로지스2022-09-16 12:59:55U2021-12-08 23:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>
42315000031500009220220000420221028<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0226591082<NA><NA>서울특별시 강서구 마곡동 799-2 푸리마타워 1104호서울특별시 강서구 공항대로 190, 푸리마타워 1104호 (마곡동)07631(주)두울디엔씨2022-10-28 09:16:35U2021-10-30 21:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4331500003150000922022000052023-01-17<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 772-5 리더스퀘어마곡 401호서울특별시 강서구 마곡중앙6로 45, 리더스퀘어마곡 401호 (마곡동)07802에이스산업개발2023-04-05 16:50:55U2022-12-04 00:07:00.0<NA>185127.285385450939.221091<NA><NA><NA><NA><NA><NA>
4431500003150000922024000012024-03-08<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 772-5 리더스퀘어마곡서울특별시 강서구 마곡중앙6로 45, 리더스퀘어마곡 에이동 6층 612-씨25호 (마곡동)07802주식회사 세경이엔티2024-03-08 09:25:52U2023-12-02 23:00:00.0<NA>185127.285385450939.221091<NA><NA><NA><NA><NA><NA>