Overview

Dataset statistics

Number of variables33
Number of observations50
Missing cells508
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory284.6 B

Variable types

Categorical12
Numeric6
DateTime4
Unsupported7
Text4

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,업종구분명,종별명,주생산품명,배출시설조업시간,배출시설연간가동일수,방지시설조업시간,방지시설연간가동일수
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-19364/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 39 (78.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 5 (10.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
소재지우편번호 has 50 (100.0%) missing valuesMissing
지번주소 has 22 (44.0%) missing valuesMissing
도로명주소 has 9 (18.0%) missing valuesMissing
도로명우편번호 has 13 (26.0%) missing valuesMissing
좌표정보(X) has 8 (16.0%) missing valuesMissing
좌표정보(Y) has 8 (16.0%) missing valuesMissing
주생산품명 has 50 (100.0%) missing valuesMissing
배출시설연간가동일수 has 27 (54.0%) missing valuesMissing
방지시설연간가동일수 has 27 (54.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설연간가동일수 has 16 (32.0%) zerosZeros
방지시설연간가동일수 has 15 (30.0%) zerosZeros

Reproduction

Analysis started2024-04-06 10:31:12.869764
Analysis finished2024-04-06 10:31:13.655458
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3120000
50 

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 50
100.0%

Length

2024-04-06T19:31:13.766941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:13.914683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 50
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1200002 × 1017
Minimum3.1200002 × 1017
Maximum3.1200002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T19:31:14.100272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1200002 × 1017
5-th percentile3.1200002 × 1017
Q13.1200002 × 1017
median3.1200002 × 1017
Q33.1200002 × 1017
95-th percentile3.1200002 × 1017
Maximum3.1200002 × 1017
Range3100000
Interquartile range (IQR)499968

Descriptive statistics

Standard deviation887784.45
Coefficient of variation (CV)2.8454628 × 10-12
Kurtosis0.0090197236
Mean3.1200002 × 1017
Median Absolute Deviation (MAD)299968
Skewness-1.1506382
Sum-2.846743 × 1018
Variance7.8816123 × 1011
MonotonicityStrictly increasing
2024-04-06T19:31:14.385449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
312000021199100003 1
 
2.0%
312000021202100001 1
 
2.0%
312000021201500020 1
 
2.0%
312000021201500021 1
 
2.0%
312000021201500022 1
 
2.0%
312000021201500023 1
 
2.0%
312000021201500024 1
 
2.0%
312000021201500025 1
 
2.0%
312000021201500026 1
 
2.0%
312000021201600001 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
312000021199100003 1
2.0%
312000021199400001 1
2.0%
312000021199700002 1
2.0%
312000021199700003 1
2.0%
312000021199700005 1
2.0%
312000021199700006 1
2.0%
312000021199700007 1
2.0%
312000021199700008 1
2.0%
312000021199900008 1
2.0%
312000021200100001 1
2.0%
ValueCountFrequency (%)
312000021202200003 1
2.0%
312000021202200002 1
2.0%
312000021202200001 1
2.0%
312000021202100009 1
2.0%
312000021202100008 1
2.0%
312000021202100007 1
2.0%
312000021202100006 1
2.0%
312000021202100005 1
2.0%
312000021202100004 1
2.0%
312000021202100003 1
2.0%

인허가일자
Date

Distinct29
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum1991-02-21 00:00:00
Maximum2022-12-14 00:00:00
2024-04-06T19:31:14.599845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:14.819197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
32 
3
10 
4
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
64.0%
3 10
 
20.0%
4 8
 
16.0%

Length

2024-04-06T19:31:15.053155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:15.224310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
64.0%
3 10
 
20.0%
4 8
 
16.0%

영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
32 
폐업
10 
취소/말소/만료/정지/중지
8 

Length

Max length14
Median length5
Mean length5.84
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 32
64.0%
폐업 10
 
20.0%
취소/말소/만료/정지/중지 8
 
16.0%

Length

2024-04-06T19:31:15.508890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:15.710889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
64.0%
폐업 10
 
20.0%
취소/말소/만료/정지/중지 8
 
16.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
11
32 
2
10 
4
8 

Length

Max length2
Median length2
Mean length1.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row11
5th row2

Common Values

ValueCountFrequency (%)
11 32
64.0%
2 10
 
20.0%
4 8
 
16.0%

Length

2024-04-06T19:31:15.963843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:16.140367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 32
64.0%
2 10
 
20.0%
4 8
 
16.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업
32 
폐업
10 
폐쇄
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 32
64.0%
폐업 10
 
20.0%
폐쇄 8
 
16.0%

Length

2024-04-06T19:31:16.321285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:16.482424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 32
64.0%
폐업 10
 
20.0%
폐쇄 8
 
16.0%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing39
Missing (%)78.0%
Memory size532.0 B
Minimum2004-03-31 00:00:00
Maximum2023-12-05 00:00:00
2024-04-06T19:31:16.634816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:16.814810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing5
Missing (%)10.0%
Memory size532.0 B
2024-04-06T19:31:17.126767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.7555556
Min length7

Characters and Unicode

Total characters394
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row02 3947161
2nd row02 3615993
3rd row02 3721883
4th row023947161
5th row02 3911158
ValueCountFrequency (%)
02 7
 
13.5%
023957511 1
 
1.9%
02-361-1147 1
 
1.9%
023040800 1
 
1.9%
21232202 1
 
1.9%
3969161 1
 
1.9%
3623317 1
 
1.9%
63889120 1
 
1.9%
22281454 1
 
1.9%
3652700 1
 
1.9%
Other values (36) 36
69.2%
2024-04-06T19:31:17.669930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 61
15.5%
2 56
14.2%
0 53
13.5%
1 43
10.9%
6 35
8.9%
9 31
7.9%
7 30
7.6%
4 26
6.6%
5 24
 
6.1%
8 16
 
4.1%
Other values (2) 19
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 375
95.2%
Dash Punctuation 12
 
3.0%
Space Separator 7
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 61
16.3%
2 56
14.9%
0 53
14.1%
1 43
11.5%
6 35
9.3%
9 31
8.3%
7 30
8.0%
4 26
6.9%
5 24
 
6.4%
8 16
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 61
15.5%
2 56
14.2%
0 53
13.5%
1 43
10.9%
6 35
8.9%
9 31
7.9%
7 30
7.6%
4 26
6.6%
5 24
 
6.1%
8 16
 
4.1%
Other values (2) 19
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 61
15.5%
2 56
14.2%
0 53
13.5%
1 43
10.9%
6 35
8.9%
9 31
7.9%
7 30
7.6%
4 26
6.6%
5 24
 
6.1%
8 16
 
4.1%
Other values (2) 19
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

지번주소
Text

MISSING 

Distinct24
Distinct (%)85.7%
Missing22
Missing (%)44.0%
Memory size532.0 B
2024-04-06T19:31:18.035232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length24.571429
Min length20

Characters and Unicode

Total characters688
Distinct characters76
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

Unique21 ?
Unique (%)75.0%

Sample

1st row서울특별시 서대문구 홍은동 275-7번지
2nd row서울특별시 서대문구 신촌동 100 , 산9-1
3rd row서울특별시 서대문구 북가좌동 392-2번지
4th row서울특별시 서대문구 홍은동 275-7번지
5th row서울특별시 서대문구 홍제동 236-1번지
ValueCountFrequency (%)
서울특별시 28
22.2%
서대문구 28
22.2%
홍은동 6
 
4.8%
홍제동 5
 
4.0%
충정로3가 5
 
4.0%
북가좌동 4
 
3.2%
318-14번지 3
 
2.4%
충정로2가 2
 
1.6%
275-7번지 2
 
1.6%
426-11번지 2
 
1.6%
Other values (40) 41
32.5%
2024-04-06T19:31:18.629156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
17.0%
서 58
 
8.4%
대 31
 
4.5%
구 30
 
4.4%
문 29
 
4.2%
시 28
 
4.1%
별 28
 
4.1%
특 28
 
4.1%
울 28
 
4.1%
1 26
 
3.8%
Other values (66) 285
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
63.1%
Space Separator 117
 
17.0%
Decimal Number 117
 
17.0%
Dash Punctuation 19
 
2.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
13.4%
대 31
 
7.1%
구 30
 
6.9%
문 29
 
6.7%
시 28
 
6.5%
별 28
 
6.5%
특 28
 
6.5%
울 28
 
6.5%
동 22
 
5.1%
홍 11
 
2.5%
Other values (53) 141
32.5%
Decimal Number
ValueCountFrequency (%)
1 26
22.2%
3 24
20.5%
2 15
12.8%
6 11
9.4%
4 10
 
8.5%
7 9
 
7.7%
8 6
 
5.1%
0 6
 
5.1%
5 6
 
5.1%
9 4
 
3.4%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
63.1%
Common 254
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
13.4%
대 31
 
7.1%
구 30
 
6.9%
문 29
 
6.7%
시 28
 
6.5%
별 28
 
6.5%
특 28
 
6.5%
울 28
 
6.5%
동 22
 
5.1%
홍 11
 
2.5%
Other values (53) 141
32.5%
Common
ValueCountFrequency (%)
117
46.1%
1 26
 
10.2%
3 24
 
9.4%
- 19
 
7.5%
2 15
 
5.9%
6 11
 
4.3%
4 10
 
3.9%
7 9
 
3.5%
8 6
 
2.4%
0 6
 
2.4%
Other values (3) 11
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
63.1%
ASCII 254
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
46.1%
1 26
 
10.2%
3 24
 
9.4%
- 19
 
7.5%
2 15
 
5.9%
6 11
 
4.3%
4 10
 
3.9%
7 9
 
3.5%
8 6
 
2.4%
0 6
 
2.4%
Other values (3) 11
 
4.3%
Hangul
ValueCountFrequency (%)
서 58
13.4%
대 31
 
7.1%
구 30
 
6.9%
문 29
 
6.7%
시 28
 
6.5%
별 28
 
6.5%
특 28
 
6.5%
울 28
 
6.5%
동 22
 
5.1%
홍 11
 
2.5%
Other values (53) 141
32.5%

도로명주소
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing9
Missing (%)18.0%
Memory size532.0 B
2024-04-06T19:31:19.074371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length31.292683
Min length24

Characters and Unicode

Total characters1283
Distinct characters141
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row서울특별시 서대문구 연희로 261 (홍은동)
2nd row서울특별시 서대문구 세무서길 28 (홍제동)
3rd row서울특별시 서대문구 충정로 53 (충정로2가, 골든타워빌딩)
4th row서울특별시 서대문구 통일로 464 (홍제동, 홍제빌딩)
5th row서울특별시 서대문구 연세로 50 (신촌동, 연세대학교)
ValueCountFrequency (%)
서울특별시 41
 
17.1%
서대문구 41
 
17.1%
충정로 8
 
3.3%
통일로 7
 
2.9%
충정로3가 6
 
2.5%
홍은동 5
 
2.1%
홍제동 5
 
2.1%
충정로2가 5
 
2.1%
신촌동 4
 
1.7%
미근동 4
 
1.7%
Other values (101) 114
47.5%
2024-04-06T19:31:19.833665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
15.5%
서 88
 
6.9%
대 57
 
4.4%
로 49
 
3.8%
문 48
 
3.7%
구 43
 
3.4%
시 41
 
3.2%
별 41
 
3.2%
울 41
 
3.2%
특 41
 
3.2%
Other values (131) 635
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 840
65.5%
Space Separator 199
 
15.5%
Decimal Number 122
 
9.5%
Close Punctuation 41
 
3.2%
Open Punctuation 41
 
3.2%
Other Punctuation 36
 
2.8%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 88
 
10.5%
대 57
 
6.8%
로 49
 
5.8%
문 48
 
5.7%
구 43
 
5.1%
시 41
 
4.9%
별 41
 
4.9%
울 41
 
4.9%
특 41
 
4.9%
동 32
 
3.8%
Other values (116) 359
42.7%
Decimal Number
ValueCountFrequency (%)
3 23
18.9%
2 21
17.2%
1 17
13.9%
4 12
9.8%
5 11
9.0%
7 11
9.0%
9 8
 
6.6%
0 8
 
6.6%
8 6
 
4.9%
6 5
 
4.1%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 840
65.5%
Common 443
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 88
 
10.5%
대 57
 
6.8%
로 49
 
5.8%
문 48
 
5.7%
구 43
 
5.1%
시 41
 
4.9%
별 41
 
4.9%
울 41
 
4.9%
특 41
 
4.9%
동 32
 
3.8%
Other values (116) 359
42.7%
Common
ValueCountFrequency (%)
199
44.9%
) 41
 
9.3%
( 41
 
9.3%
, 36
 
8.1%
3 23
 
5.2%
2 21
 
4.7%
1 17
 
3.8%
4 12
 
2.7%
5 11
 
2.5%
7 11
 
2.5%
Other values (5) 31
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 840
65.5%
ASCII 443
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
44.9%
) 41
 
9.3%
( 41
 
9.3%
, 36
 
8.1%
3 23
 
5.2%
2 21
 
4.7%
1 17
 
3.8%
4 12
 
2.7%
5 11
 
2.5%
7 11
 
2.5%
Other values (5) 31
 
7.0%
Hangul
ValueCountFrequency (%)
서 88
 
10.5%
대 57
 
6.8%
로 49
 
5.8%
문 48
 
5.7%
구 43
 
5.1%
시 41
 
4.9%
별 41
 
4.9%
울 41
 
4.9%
특 41
 
4.9%
동 32
 
3.8%
Other values (116) 359
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)78.4%
Missing13
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean13203.676
Minimum3628
Maximum120847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T19:31:20.091373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3628
5-th percentile3635.4
Q13691
median3736
Q33742
95-th percentile120703.4
Maximum120847
Range117219
Interquartile range (IQR)51

Descriptive statistics

Standard deviation32387.509
Coefficient of variation (CV)2.4529161
Kurtosis8.7131803
Mean13203.676
Median Absolute Deviation (MAD)18
Skewness3.2006981
Sum488536
Variance1.0489507 × 109
MonotonicityNot monotonic
2024-04-06T19:31:20.306131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3722 3
 
6.0%
3737 3
 
6.0%
3721 2
 
4.0%
3738 2
 
4.0%
3739 2
 
4.0%
3742 2
 
4.0%
3712 1
 
2.0%
3735 1
 
2.0%
3765 1
 
2.0%
3691 1
 
2.0%
Other values (19) 19
38.0%
(Missing) 13
26.0%
ValueCountFrequency (%)
3628 1
2.0%
3629 1
2.0%
3637 1
2.0%
3650 1
2.0%
3653 1
2.0%
3656 1
2.0%
3657 1
2.0%
3674 1
2.0%
3677 1
2.0%
3691 1
2.0%
ValueCountFrequency (%)
120847 1
2.0%
120709 1
2.0%
120702 1
2.0%
3789 1
2.0%
3765 1
2.0%
3762 1
2.0%
3760 1
2.0%
3752 1
2.0%
3742 2
4.0%
3740 1
2.0%

사업장명
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T19:31:20.721611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.26
Min length3

Characters and Unicode

Total characters463
Distinct characters152
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

Unique44 ?
Unique (%)88.0%

Sample

1st row(주)세화자동차공업사
2nd row연세의료원
3rd row(주)성도자동차
4th row(주)세화정비사업소
5th row(주)홍제자동차공업사
ValueCountFrequency (%)
주식회사 4
 
5.6%
연세의료원 2
 
2.8%
남영공업사 2
 
2.8%
서대문 2
 
2.8%
삼성자동차공업사 2
 
2.8%
연세대학교 2
 
2.8%
학교법인 2
 
2.8%
숲속랜드 1
 
1.4%
이화학당 1
 
1.4%
사우나 1
 
1.4%
Other values (53) 53
73.6%
2024-04-06T19:31:21.380100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
4.8%
사 19
 
4.1%
주 18
 
3.9%
( 15
 
3.2%
) 15
 
3.2%
학 14
 
3.0%
대 14
 
3.0%
교 13
 
2.8%
회 10
 
2.2%
동 9
 
1.9%
Other values (142) 314
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
86.8%
Space Separator 22
 
4.8%
Open Punctuation 15
 
3.2%
Close Punctuation 15
 
3.2%
Uppercase Letter 6
 
1.3%
Decimal Number 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 19
 
4.7%
주 18
 
4.5%
학 14
 
3.5%
대 14
 
3.5%
교 13
 
3.2%
회 10
 
2.5%
동 9
 
2.2%
공 8
 
2.0%
업 8
 
2.0%
세 8
 
2.0%
Other values (130) 281
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
E 1
16.7%
R 1
16.7%
C 1
16.7%
M 1
16.7%
A 1
16.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
86.8%
Common 55
 
11.9%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 19
 
4.7%
주 18
 
4.5%
학 14
 
3.5%
대 14
 
3.5%
교 13
 
3.2%
회 10
 
2.5%
동 9
 
2.2%
공 8
 
2.0%
업 8
 
2.0%
세 8
 
2.0%
Other values (130) 281
69.9%
Common
ValueCountFrequency (%)
22
40.0%
( 15
27.3%
) 15
27.3%
4 1
 
1.8%
2 1
 
1.8%
- 1
 
1.8%
Latin
ValueCountFrequency (%)
S 1
16.7%
E 1
16.7%
R 1
16.7%
C 1
16.7%
M 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
86.8%
ASCII 61
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
36.1%
( 15
24.6%
) 15
24.6%
S 1
 
1.6%
4 1
 
1.6%
2 1
 
1.6%
E 1
 
1.6%
R 1
 
1.6%
- 1
 
1.6%
C 1
 
1.6%
Other values (2) 2
 
3.3%
Hangul
ValueCountFrequency (%)
사 19
 
4.7%
주 18
 
4.5%
학 14
 
3.5%
대 14
 
3.5%
교 13
 
3.2%
회 10
 
2.5%
동 9
 
2.2%
공 8
 
2.0%
업 8
 
2.0%
세 8
 
2.0%
Other values (130) 281
69.9%

최종수정일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2010-04-09 13:36:23
Maximum2024-03-14 09:59:24
2024-04-06T19:31:21.622567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:21.851640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
U
36 
I
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 36
72.0%
I 14
 
28.0%

Length

2024-04-06T19:31:22.053477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:22.208246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 36
72.0%
i 14
 
28.0%

데이터갱신일자
Date

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-10-04 11:12:49
Maximum2023-12-02 23:06:00
2024-04-06T19:31:22.387458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:22.640211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Categorical

Distinct17
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
부동산 임대업
15 
<NA>
9 
대학교
6 
일반 공공 행정
3 
도장및기타피막처리업
3 
Other values (12)
14 

Length

Max length16
Median length12
Mean length6.32
Min length3

Unique

Unique10 ?
Unique (%)20.0%

Sample

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

Common Values

ValueCountFrequency (%)
부동산 임대업 15
30.0%
<NA> 9
18.0%
대학교 6
 
12.0%
일반 공공 행정 3
 
6.0%
도장및기타피막처리업 3
 
6.0%
미용, 욕탕 및 유사 서비스업 2
 
4.0%
종합 병원 2
 
4.0%
전문대학 1
 
2.0%
비주거용 건물 임대업 1
 
2.0%
호텔업 1
 
2.0%
Other values (7) 7
14.0%

Length

2024-04-06T19:31:23.399124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부동산 17
18.9%
임대업 16
17.8%
na 9
 
10.0%
대학교 6
 
6.7%
일반 3
 
3.3%
공공 3
 
3.3%
행정 3
 
3.3%
도장및기타피막처리업 3
 
3.3%
및 3
 
3.3%
서비스업 2
 
2.2%
Other values (20) 25
27.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)95.2%
Missing8
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean195298.7
Minimum192000.95
Maximum197170.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T19:31:23.667171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192000.95
5-th percentile192659.33
Q1194317.73
median195061.8
Q3196676.21
95-th percentile197060.54
Maximum197170.64
Range5169.6963
Interquartile range (IQR)2358.4824

Descriptive statistics

Standard deviation1397.4473
Coefficient of variation (CV)0.0071554358
Kurtosis-0.51559857
Mean195298.7
Median Absolute Deviation (MAD)978.56385
Skewness-0.39893342
Sum8202545.4
Variance1952859
MonotonicityNot monotonic
2024-04-06T19:31:23.998035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
194316.500634236 2
 
4.0%
194246.653607374 2
 
4.0%
196801.661639204 1
 
2.0%
192000.945942229 1
 
2.0%
192616.804543873 1
 
2.0%
196884.166631688 1
 
2.0%
194798.458435966 1
 
2.0%
196694.508582738 1
 
2.0%
192293.790106355 1
 
2.0%
196961.574307652 1
 
2.0%
Other values (30) 30
60.0%
(Missing) 8
 
16.0%
ValueCountFrequency (%)
192000.945942229 1
2.0%
192293.790106355 1
2.0%
192616.804543873 1
2.0%
193467.345544 1
2.0%
193954.48159 1
2.0%
194211.997213753 1
2.0%
194246.653607374 2
4.0%
194265.067639805 1
2.0%
194316.500634236 2
4.0%
194321.417441299 1
2.0%
ValueCountFrequency (%)
197170.642282034 1
2.0%
197062.989911966 1
2.0%
197062.406516 1
2.0%
197025.021835 1
2.0%
196961.574307652 1
2.0%
196884.166631688 1
2.0%
196801.661639204 1
2.0%
196796.370142665 1
2.0%
196752.76401348 1
2.0%
196694.508582738 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)92.9%
Missing8
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean452130.01
Minimum450433.69
Maximum454344.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T19:31:24.220078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450433.69
5-th percentile450837.13
Q1451147.94
median451606.97
Q3453311.9
95-th percentile454101.43
Maximum454344.43
Range3910.7415
Interquartile range (IQR)2163.96

Descriptive statistics

Standard deviation1228.0678
Coefficient of variation (CV)0.002716183
Kurtosis-1.3208692
Mean452130.01
Median Absolute Deviation (MAD)739.16002
Skewness0.48776614
Sum18989460
Variance1508150.6
MonotonicityNot monotonic
2024-04-06T19:31:24.460530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
451381.585492051 2
 
4.0%
453110.798180772 2
 
4.0%
453340.943726931 2
 
4.0%
451267.809661546 1
 
2.0%
452848.009128439 1
 
2.0%
451568.612782385 1
 
2.0%
450837.051726331 1
 
2.0%
451070.359709608 1
 
2.0%
453486.385286129 1
 
2.0%
451394.163765863 1
 
2.0%
Other values (29) 29
58.0%
(Missing) 8
 
16.0%
ValueCountFrequency (%)
450433.691021245 1
2.0%
450478.352188795 1
2.0%
450837.051726331 1
2.0%
450838.597606871 1
2.0%
450862.36191038 1
2.0%
450873.253484355 1
2.0%
450999.900043141 1
2.0%
451070.359709608 1
2.0%
451083.20325335 1
2.0%
451119.163599146 1
2.0%
ValueCountFrequency (%)
454344.432517428 1
2.0%
454188.343575118 1
2.0%
454101.55624427 1
2.0%
454098.970268002 1
2.0%
454078.028449131 1
2.0%
453834.316733 1
2.0%
453764.706268517 1
2.0%
453486.385286129 1
2.0%
453469.659891 1
2.0%
453340.943726931 2
4.0%

환경업무구분명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
대기배출업소관리
29 
<NA>
21 

Length

Max length8
Median length8
Mean length6.32
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기배출업소관리 29
58.0%
<NA> 21
42.0%

Length

2024-04-06T19:31:24.746083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:24.910011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 29
58.0%
na 21
42.0%

업종구분명
Categorical

Distinct11
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
29 
부동산 임대업
9 
도장및기타피막처리업
3 
미용, 욕탕 및 유사 서비스업
 
2
일반 공공 행정
 
1
Other values (6)
6 

Length

Max length16
Median length4
Mean length5.52
Min length3

Unique

Unique7 ?
Unique (%)14.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
58.0%
부동산 임대업 9
 
18.0%
도장및기타피막처리업 3
 
6.0%
미용, 욕탕 및 유사 서비스업 2
 
4.0%
일반 공공 행정 1
 
2.0%
전문대학 1
 
2.0%
종교 단체 1
 
2.0%
종합 병원 1
 
2.0%
철도 운송업 1
 
2.0%
대학교 1
 
2.0%

Length

2024-04-06T19:31:25.107254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 29
40.3%
임대업 9
 
12.5%
부동산 9
 
12.5%
도장및기타피막처리업 3
 
4.2%
미용 2
 
2.8%
욕탕 2
 
2.8%
및 2
 
2.8%
유사 2
 
2.8%
서비스업 2
 
2.8%
종합 1
 
1.4%
Other values (11) 11
 
15.3%

종별명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
5종
22 
<NA>
21 
4종
7 

Length

Max length4
Median length2
Mean length2.84
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5종
2nd row4종
3rd row4종
4th row4종
5th row5종

Common Values

ValueCountFrequency (%)
5종 22
44.0%
<NA> 21
42.0%
4종 7
 
14.0%

Length

2024-04-06T19:31:25.329109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:25.600774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 22
44.0%
na 21
42.0%
4종 7
 
14.0%

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

배출시설조업시간
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
33 
0
10 
5
 
2
10
 
2
4
 
2

Length

Max length4
Median length4
Mean length3.04
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
66.0%
0 10
 
20.0%
5 2
 
4.0%
10 2
 
4.0%
4 2
 
4.0%
24 1
 
2.0%

Length

2024-04-06T19:31:25.828989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:26.053792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
66.0%
0 10
 
20.0%
5 2
 
4.0%
10 2
 
4.0%
4 2
 
4.0%
24 1
 
2.0%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)26.1%
Missing27
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean64.565217
Minimum0
Maximum365
Zeros16
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T19:31:26.231586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3150
95-th percentile249
Maximum365
Range365
Interquartile range (IQR)150

Descriptive statistics

Standard deviation108.15512
Coefficient of variation (CV)1.6751298
Kurtosis1.2983122
Mean64.565217
Median Absolute Deviation (MAD)0
Skewness1.4951391
Sum1485
Variance11697.53
MonotonicityNot monotonic
2024-04-06T19:31:26.403048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
32.0%
150 3
 
6.0%
365 1
 
2.0%
180 1
 
2.0%
240 1
 
2.0%
250 1
 
2.0%
(Missing) 27
54.0%
ValueCountFrequency (%)
0 16
32.0%
150 3
 
6.0%
180 1
 
2.0%
240 1
 
2.0%
250 1
 
2.0%
365 1
 
2.0%
ValueCountFrequency (%)
365 1
 
2.0%
250 1
 
2.0%
240 1
 
2.0%
180 1
 
2.0%
150 3
 
6.0%
0 16
32.0%

방지시설조업시간
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
35 
0
10 
5
 
2
365
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.16
Min length1

Unique

Unique3 ?
Unique (%)6.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
70.0%
0 10
 
20.0%
5 2
 
4.0%
365 1
 
2.0%
4 1
 
2.0%
10 1
 
2.0%

Length

2024-04-06T19:31:26.619062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:26.806317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
70.0%
0 10
 
20.0%
5 2
 
4.0%
365 1
 
2.0%
4 1
 
2.0%
10 1
 
2.0%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)26.1%
Missing27
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean69.478261
Minimum0
Maximum298
Zeros15
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T19:31:27.055930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3150
95-th percentile249
Maximum298
Range298
Interquartile range (IQR)150

Descriptive statistics

Standard deviation102.28697
Coefficient of variation (CV)1.4722155
Kurtosis-0.50539015
Mean69.478261
Median Absolute Deviation (MAD)0
Skewness1.0238998
Sum1598
Variance10462.625
MonotonicityNot monotonic
2024-04-06T19:31:27.245125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
30.0%
150 3
 
6.0%
180 2
 
4.0%
298 1
 
2.0%
240 1
 
2.0%
250 1
 
2.0%
(Missing) 27
54.0%
ValueCountFrequency (%)
0 15
30.0%
150 3
 
6.0%
180 2
 
4.0%
240 1
 
2.0%
250 1
 
2.0%
298 1
 
2.0%
ValueCountFrequency (%)
298 1
 
2.0%
250 1
 
2.0%
240 1
 
2.0%
180 2
 
4.0%
150 3
 
6.0%
0 15
30.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0312000031200002119910000319910221<NA>3폐업2폐업<NA><NA><NA><NA>02 3947161<NA><NA>서울특별시 서대문구 홍은동 275-7번지<NA><NA>(주)세화자동차공업사2014-03-03 17:11:48I2018-10-04 11:12:49.0<NA>194246.653607453110.798181대기배출업소관리<NA>5종<NA>0000
1312000031200002119940000119940203<NA>3폐업2폐업20040331<NA><NA><NA>02 3615993<NA><NA>서울특별시 서대문구 신촌동 100 , 산9-1<NA><NA>연세의료원2020-10-28 16:48:56U2020-10-30 02:40:00.0<NA><NA><NA>대기배출업소관리<NA>4종<NA>0000
2312000031200002119970000219970127<NA>3폐업2폐업<NA><NA><NA><NA>02 3721883<NA><NA>서울특별시 서대문구 북가좌동 392-2번지<NA><NA>(주)성도자동차2014-03-03 17:14:59I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>4종<NA>0000
3312000031200002119970000319970127<NA>1영업/정상11영업<NA><NA><NA><NA>023947161<NA><NA>서울특별시 서대문구 홍은동 275-7번지서울특별시 서대문구 연희로 261 (홍은동)120847(주)세화정비사업소2018-12-04 11:33:06U2018-12-06 02:40:00.0도장및기타피막처리업194246.653607453110.798181대기배출업소관리도장및기타피막처리업4종<NA>0000
4312000031200002119970000519970127<NA>3폐업2폐업20170511<NA><NA><NA>02 3911158<NA><NA>서울특별시 서대문구 홍제동 236-1번지서울특별시 서대문구 세무서길 28 (홍제동)<NA>(주)홍제자동차공업사2017-05-12 09:21:22I2018-10-04 11:12:49.0도장및기타피막처리업195141.762388454101.556244대기배출업소관리도장및기타피막처리업5종<NA>0000
5312000031200002119970000619970127<NA>3폐업2폐업<NA><NA><NA><NA>02 3954747<NA><NA>서울특별시 서대문구 홍제동 318-14번지<NA><NA>남영공업사2014-03-03 17:15:22I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>5종<NA>0000
6312000031200002119970000719970127<NA>3폐업2폐업<NA><NA><NA><NA>02 3919567<NA><NA>서울특별시 서대문구 홍은동 426-11번지<NA><NA>삼성자동차공업사2014-03-03 17:15:41I2018-10-04 11:12:49.0<NA>194316.500634453340.943727대기배출업소관리<NA>5종<NA>0000
7312000031200002119970000819970127<NA>3폐업2폐업20100408<NA><NA><NA>3916871<NA><NA>서울특별시 서대문구 홍은동 426-11번지<NA><NA>삼성자동차공업사2010-04-09 13:36:23I2018-10-04 11:12:49.0도장및기타피막처리업194316.500634453340.943727대기배출업소관리도장및기타피막처리업5종<NA><NA><NA><NA><NA>
8312000031200002119990000819990726<NA>3폐업2폐업<NA><NA><NA><NA>02 3720991<NA><NA>서울특별시 서대문구 북가좌동 333-6번지<NA><NA>흥일운수(주)2014-03-03 17:15:59I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>5종<NA>0000
9312000031200002120010000120010814<NA>3폐업2폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 318-14번지<NA><NA>(주)기린산건2014-03-03 17:16:36I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>5종<NA>0000
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
40312000031200002120210000320211006<NA>1영업/정상11영업<NA><NA><NA><NA>023619152<NA><NA>서울특별시 서대문구 냉천동 31 감리교신학대학서울특별시 서대문구 독립문로 56 (냉천동,감리교신학대학)<NA>감리교신학대학교2022-12-09 21:33:41U2021-11-01 23:01:00.0대학교196602.387941451683.338401<NA><NA><NA><NA><NA><NA><NA><NA>
41312000031200002120210000420211026<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 306-17 서부프라자빌딩서울특별시 서대문구 응암로 54, 서부프라자빌딩 (북가좌동)3691서부RES2021-10-26 21:03:50I2021-10-28 00:22:56.0부동산 임대업192000.945942452848.009128대기배출업소관리부동산 임대업5종<NA>41804180
42312000031200002120210000520211105<NA>1영업/정상11영업<NA><NA><NA><NA>023924450<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129 (창천동)<NA>(주)아트레온2021-11-05 13:22:53I2021-11-07 00:22:45.0부동산 임대업194649.344012450478.352189대기배출업소관리부동산 임대업5종<NA>1024010240
4331200003120000212021000062021-11-09<NA>4취소/말소/만료/정지/중지4폐쇄2023-12-05<NA><NA><NA>023790781<NA><NA>서울특별시 서대문구 홍제동 158-33서울특별시 서대문구 통일로 413 (홍제동)<NA>화인홍제빌딩2023-12-05 17:08:26U2022-11-02 00:07:00.0부동산 임대 및 공급업195196.693652453764.706269<NA><NA><NA><NA><NA><NA><NA><NA>
44312000031200002120210000720211112<NA>1영업/정상11영업<NA><NA><NA><NA>02-2176-9920<NA><NA><NA>서울특별시 서대문구 충정로 36, 9,13층 (충정로3가)120709국민연금관리공단 서울북부지역본부2022-09-16 17:20:23U2021-12-08 23:08:00.0부동산 임대업196796.370143451083.203253<NA><NA><NA><NA><NA><NA><NA><NA>
45312000031200002120210000820211112<NA>1영업/정상11영업<NA><NA><NA><NA>023905231<NA><NA>서울특별시 서대문구 충정로2가 71 경기대학교서울특별시 서대문구 경기대로9길 24 (충정로2가)120702경기대학교 서울캠퍼스2021-11-12 21:03:25I2021-11-14 00:22:45.0대학교196603.662669451441.85441대기배출업소관리대학교5종<NA><NA>0<NA>180
46312000031200002120210000920211209<NA>1영업/정상11영업<NA><NA><NA><NA>02-3406-5786<NA><NA>서울특별시 서대문구 충정로3가 470 풍산빌딩서울특별시 서대문구 충정로 23, 풍산빌딩 (충정로3가)3737주-풍산 서울사무소2022-01-20 17:36:57U2022-01-22 02:40:00.0부동산 임대업196662.335161450999.900043대기배출업소관리부동산 임대업5종<NA>4150<NA>150
47312000031200002120220000120220119<NA>1영업/정상11영업<NA><NA><NA><NA>02-362-3115<NA><NA>서울특별시 서대문구 충정로3가 368 종근당빌딩서울특별시 서대문구 충정로 8, 종근당빌딩 (충정로3가)3742종근당빌딩2022-01-19 13:17:11I2022-01-21 00:22:39.0부동산업196680.837898450862.36191대기배출업소관리부동산업5종<NA>52505250
48312000031200002120220000220221114<NA>1영업/정상11영업<NA><NA><NA><NA>02-364-4732<NA><NA>서울특별시 서대문구 충정로3가 464 충정타워빌딩서울특별시 서대문구 서소문로 21, 충정타워빌딩 (충정로3가)3742충정타워빌딩2022-11-15 08:21:10I2021-10-31 23:07:00.0부동산 임대업196752.764013450838.597607<NA><NA><NA><NA><NA><NA><NA><NA>
49312000031200002120220000320221214<NA>1영업/정상11영업<NA><NA><NA><NA>023308914<NA><NA>서울특별시 서대문구 연희동 168-6 서대문구청서울특별시 서대문구 연희로 248, 서대문구청 (연희동)3718서대문구청2022-12-27 13:40:35U2021-11-01 22:09:00.0일반 공공 행정194329.387021452987.37714<NA><NA><NA><NA><NA><NA><NA><NA>