Overview

Dataset statistics

Number of variables33
Number of observations113
Missing cells1295
Missing cells (%)34.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory285.2 B

Variable types

Categorical12
Numeric4
DateTime3
Unsupported9
Text5

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),업무구분,건축물명,건축물연면적,건축물상태명,청소대상시작일자,청소대상종료일자,휴업폐지사유,업무구분명
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19500/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (92.7%)Imbalance
휴업종료일자 is highly imbalanced (92.7%)Imbalance
건축물연면적 is highly imbalanced (73.9%)Imbalance
인허가취소일자 has 113 (100.0%) missing valuesMissing
폐업일자 has 72 (63.7%) missing valuesMissing
재개업일자 has 113 (100.0%) missing valuesMissing
전화번호 has 15 (13.3%) missing valuesMissing
소재지면적 has 113 (100.0%) missing valuesMissing
소재지우편번호 has 113 (100.0%) missing valuesMissing
도로명주소 has 29 (25.7%) missing valuesMissing
도로명우편번호 has 84 (74.3%) missing valuesMissing
업태구분명 has 113 (100.0%) missing valuesMissing
좌표정보(X) has 7 (6.2%) missing valuesMissing
좌표정보(Y) has 7 (6.2%) missing valuesMissing
건축물명 has 113 (100.0%) missing valuesMissing
건축물상태명 has 113 (100.0%) missing valuesMissing
청소대상시작일자 has 113 (100.0%) missing valuesMissing
청소대상종료일자 has 113 (100.0%) missing valuesMissing
휴업폐지사유 has 63 (55.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 04:33:15.265403
Analysis finished2024-05-11 04:33:16.597996
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3230000
113 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 113
100.0%

Length

2024-05-11T04:33:16.814319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:17.224544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 113
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2300003 × 1017
Minimum3.2300003 × 1017
Maximum3.2300003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:33:17.740170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2300003 × 1017
5-th percentile3.2300003 × 1017
Q13.2300003 × 1017
median3.2300003 × 1017
Q33.2300003 × 1017
95-th percentile3.2300003 × 1017
Maximum3.2300003 × 1017
Range2300000
Interquartile range (IQR)1000000

Descriptive statistics

Standard deviation642549.5
Coefficient of variation (CV)1.9893172 × 10-12
Kurtosis-0.95849114
Mean3.2300003 × 1017
Median Absolute Deviation (MAD)400000
Skewness0.61454381
Sum-3.9448462 × 1017
Variance4.1286987 × 1011
MonotonicityStrictly increasing
2024-05-11T04:33:18.375157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323000031200100001 1
 
0.9%
323000031201500005 1
 
0.9%
323000031201500003 1
 
0.9%
323000031201500002 1
 
0.9%
323000031201500001 1
 
0.9%
323000031201400002 1
 
0.9%
323000031201400001 1
 
0.9%
323000031201300004 1
 
0.9%
323000031201300003 1
 
0.9%
323000031201300002 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
323000031200100001 1
0.9%
323000031200100002 1
0.9%
323000031200100003 1
0.9%
323000031200100004 1
0.9%
323000031200100005 1
0.9%
323000031200300002 1
0.9%
323000031200300003 1
0.9%
323000031200300004 1
0.9%
323000031200300005 1
0.9%
323000031200300006 1
0.9%
ValueCountFrequency (%)
323000031202400001 1
0.9%
323000031202300003 1
0.9%
323000031202300002 1
0.9%
323000031202300001 1
0.9%
323000031202200001 1
0.9%
323000031202100003 1
0.9%
323000031202100002 1
0.9%
323000031202100001 1
0.9%
323000031202000002 1
0.9%
323000031202000001 1
0.9%

인허가일자
Date

Distinct98
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2001-11-01 00:00:00
Maximum2024-02-13 00:00:00
2024-05-11T04:33:18.977297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:33:19.546155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3
59 
1
53 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
3 59
52.2%
1 53
46.9%
2 1
 
0.9%

Length

2024-05-11T04:33:20.082506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:20.519699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 59
52.2%
1 53
46.9%
2 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
59 
영업/정상
53 
휴업
 
1

Length

Max length5
Median length2
Mean length3.4070796
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 59
52.2%
영업/정상 53
46.9%
휴업 1
 
0.9%

Length

2024-05-11T04:33:21.240180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:21.686594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 59
52.2%
영업/정상 53
46.9%
휴업 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2
59 
11
53 
1
 
1

Length

Max length2
Median length1
Mean length1.4690265
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
2 59
52.2%
11 53
46.9%
1 1
 
0.9%

Length

2024-05-11T04:33:22.291318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:22.735096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 59
52.2%
11 53
46.9%
1 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
59 
정상
53 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 59
52.2%
정상 53
46.9%
휴업 1
 
0.9%

Length

2024-05-11T04:33:23.319135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:23.871161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 59
52.2%
정상 53
46.9%
휴업 1
 
0.9%

폐업일자
Date

MISSING 

Distinct39
Distinct (%)95.1%
Missing72
Missing (%)63.7%
Memory size1.0 KiB
Minimum2008-08-26 00:00:00
Maximum2023-07-03 00:00:00
2024-05-11T04:33:24.480533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:33:25.410316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
112 
20050519
 
1

Length

Max length8
Median length4
Mean length4.0353982
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
99.1%
20050519 1
 
0.9%

Length

2024-05-11T04:33:25.884836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:26.288836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
99.1%
20050519 1
 
0.9%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
112 
20060518
 
1

Length

Max length8
Median length4
Mean length4.0353982
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
99.1%
20060518 1
 
0.9%

Length

2024-05-11T04:33:26.685723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:26.998812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
99.1%
20060518 1
 
0.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct97
Distinct (%)99.0%
Missing15
Missing (%)13.3%
Memory size1.0 KiB
2024-05-11T04:33:27.581437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8979592
Min length7

Characters and Unicode

Total characters970
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

Unique96 ?
Unique (%)98.0%

Sample

1st row424-4484
2nd row02-415-0448
3rd row02-402-1371
4th row02-403-2241
5th row02-424-5671
ValueCountFrequency (%)
02-400-3650 2
 
2.0%
431-0703 1
 
1.0%
424-4484 1
 
1.0%
409-4546 1
 
1.0%
02-431-8444 1
 
1.0%
02-431-9775-7 1
 
1.0%
576-1976 1
 
1.0%
431-0664 1
 
1.0%
02-3427-5678 1
 
1.0%
02-478-2601 1
 
1.0%
Other values (87) 87
88.8%
2024-05-11T04:33:28.898985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 150
15.5%
0 139
14.3%
4 132
13.6%
2 128
13.2%
3 87
9.0%
1 86
8.9%
7 71
7.3%
5 51
 
5.3%
6 48
 
4.9%
8 48
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 820
84.5%
Dash Punctuation 150
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
17.0%
4 132
16.1%
2 128
15.6%
3 87
10.6%
1 86
10.5%
7 71
8.7%
5 51
 
6.2%
6 48
 
5.9%
8 48
 
5.9%
9 30
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 970
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 150
15.5%
0 139
14.3%
4 132
13.6%
2 128
13.2%
3 87
9.0%
1 86
8.9%
7 71
7.3%
5 51
 
5.3%
6 48
 
4.9%
8 48
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 150
15.5%
0 139
14.3%
4 132
13.6%
2 128
13.2%
3 87
9.0%
1 86
8.9%
7 71
7.3%
5 51
 
5.3%
6 48
 
4.9%
8 48
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct107
Distinct (%)95.5%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2024-05-11T04:33:29.752696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34.5
Mean length24.267857
Min length16

Characters and Unicode

Total characters2718
Distinct characters138
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

Unique102 ?
Unique (%)91.1%

Sample

1st row서울특별시 송파구 방이동 626
2nd row서울특별시 송파구 가락동 168-6
3rd row서울특별시 송파구 가락동 196-16 1층
4th row서울특별시 송파구 오금동 90
5th row서울특별시 송파구 석촌동 184-4
ValueCountFrequency (%)
서울특별시 112
20.4%
송파구 112
20.4%
가락동 24
 
4.4%
문정동 18
 
3.3%
방이동 16
 
2.9%
오금동 16
 
2.9%
12
 
2.2%
송파동 10
 
1.8%
거여동 6
 
1.1%
삼전동 5
 
0.9%
Other values (172) 219
39.8%
2024-05-11T04:33:31.128227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
516
19.0%
1 146
 
5.4%
파 130
 
4.8%
송 124
 
4.6%
동 120
 
4.4%
시 115
 
4.2%
서 113
 
4.2%
특 112
 
4.1%
별 112
 
4.1%
구 112
 
4.1%
Other values (128) 1118
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1532
56.4%
Space Separator 516
 
19.0%
Decimal Number 495
 
18.2%
Dash Punctuation 98
 
3.6%
Other Punctuation 66
 
2.4%
Uppercase Letter 9
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 130
 
8.5%
송 124
 
8.1%
동 120
 
7.8%
시 115
 
7.5%
서 113
 
7.4%
특 112
 
7.3%
별 112
 
7.3%
구 112
 
7.3%
울 112
 
7.3%
호 32
 
2.1%
Other values (106) 450
29.4%
Decimal Number
ValueCountFrequency (%)
1 146
29.5%
2 65
13.1%
0 53
 
10.7%
3 42
 
8.5%
5 41
 
8.3%
4 39
 
7.9%
6 32
 
6.5%
9 28
 
5.7%
7 26
 
5.3%
8 23
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
Y 2
22.2%
D 1
11.1%
A 1
11.1%
S 1
11.1%
K 1
11.1%
B 1
11.1%
Space Separator
ValueCountFrequency (%)
516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Other Punctuation
ValueCountFrequency (%)
* 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1532
56.4%
Common 1177
43.3%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 130
 
8.5%
송 124
 
8.1%
동 120
 
7.8%
시 115
 
7.5%
서 113
 
7.4%
특 112
 
7.3%
별 112
 
7.3%
구 112
 
7.3%
울 112
 
7.3%
호 32
 
2.1%
Other values (106) 450
29.4%
Common
ValueCountFrequency (%)
516
43.8%
1 146
 
12.4%
- 98
 
8.3%
* 66
 
5.6%
2 65
 
5.5%
0 53
 
4.5%
3 42
 
3.6%
5 41
 
3.5%
4 39
 
3.3%
6 32
 
2.7%
Other values (5) 79
 
6.7%
Latin
ValueCountFrequency (%)
C 2
22.2%
Y 2
22.2%
D 1
11.1%
A 1
11.1%
S 1
11.1%
K 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1532
56.4%
ASCII 1186
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
516
43.5%
1 146
 
12.3%
- 98
 
8.3%
* 66
 
5.6%
2 65
 
5.5%
0 53
 
4.5%
3 42
 
3.5%
5 41
 
3.5%
4 39
 
3.3%
6 32
 
2.7%
Other values (12) 88
 
7.4%
Hangul
ValueCountFrequency (%)
파 130
 
8.5%
송 124
 
8.1%
동 120
 
7.8%
시 115
 
7.5%
서 113
 
7.4%
특 112
 
7.3%
별 112
 
7.3%
구 112
 
7.3%
울 112
 
7.3%
호 32
 
2.1%
Other values (106) 450
29.4%

도로명주소
Text

MISSING 

Distinct82
Distinct (%)97.6%
Missing29
Missing (%)25.7%
Memory size1.0 KiB
2024-05-11T04:33:31.949164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length33.083333
Min length23

Characters and Unicode

Total characters2779
Distinct characters165
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

Unique80 ?
Unique (%)95.2%

Sample

1st row서울특별시 송파구 오금로44길 18-1 (가락동)
2nd row서울특별시 송파구 오금로46길 62, 1층 (가락동)
3rd row서울특별시 송파구 백제고분로34길 44, 1층 104호 (석촌동)
4th row서울특별시 송파구 오금로**길 *, *층 (방이동, 고려빌딩)
5th row서울특별시 송파구 백제고분로 379 (송파동)
ValueCountFrequency (%)
서울특별시 84
 
15.4%
송파구 84
 
15.4%
가락동 18
 
3.3%
문정동 16
 
2.9%
방이동 14
 
2.6%
12
 
2.2%
오금동 10
 
1.8%
가락로 7
 
1.3%
층 6
 
1.1%
호 6
 
1.1%
Other values (203) 289
52.9%
2024-05-11T04:33:34.002098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
 
16.6%
파 104
 
3.7%
송 101
 
3.6%
동 97
 
3.5%
시 88
 
3.2%
1 87
 
3.1%
서 84
 
3.0%
( 84
 
3.0%
울 84
 
3.0%
로 84
 
3.0%
Other values (155) 1504
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1596
57.4%
Space Separator 462
 
16.6%
Decimal Number 377
 
13.6%
Other Punctuation 153
 
5.5%
Open Punctuation 84
 
3.0%
Close Punctuation 83
 
3.0%
Dash Punctuation 13
 
0.5%
Uppercase Letter 11
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 104
 
6.5%
송 101
 
6.3%
동 97
 
6.1%
시 88
 
5.5%
서 84
 
5.3%
울 84
 
5.3%
로 84
 
5.3%
구 84
 
5.3%
별 84
 
5.3%
특 84
 
5.3%
Other values (132) 702
44.0%
Decimal Number
ValueCountFrequency (%)
1 87
23.1%
2 58
15.4%
3 45
11.9%
0 40
10.6%
4 37
9.8%
6 32
 
8.5%
8 26
 
6.9%
5 21
 
5.6%
7 20
 
5.3%
9 11
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
27.3%
Y 2
18.2%
C 2
18.2%
D 1
 
9.1%
A 1
 
9.1%
K 1
 
9.1%
S 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 78
51.0%
* 75
49.0%
Space Separator
ValueCountFrequency (%)
462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1596
57.4%
Common 1172
42.2%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 104
 
6.5%
송 101
 
6.3%
동 97
 
6.1%
시 88
 
5.5%
서 84
 
5.3%
울 84
 
5.3%
로 84
 
5.3%
구 84
 
5.3%
별 84
 
5.3%
특 84
 
5.3%
Other values (132) 702
44.0%
Common
ValueCountFrequency (%)
462
39.4%
1 87
 
7.4%
( 84
 
7.2%
) 83
 
7.1%
, 78
 
6.7%
* 75
 
6.4%
2 58
 
4.9%
3 45
 
3.8%
0 40
 
3.4%
4 37
 
3.2%
Other values (6) 123
 
10.5%
Latin
ValueCountFrequency (%)
B 3
27.3%
Y 2
18.2%
C 2
18.2%
D 1
 
9.1%
A 1
 
9.1%
K 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1596
57.4%
ASCII 1183
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
39.1%
1 87
 
7.4%
( 84
 
7.1%
) 83
 
7.0%
, 78
 
6.6%
* 75
 
6.3%
2 58
 
4.9%
3 45
 
3.8%
0 40
 
3.4%
4 37
 
3.1%
Other values (13) 134
 
11.3%
Hangul
ValueCountFrequency (%)
파 104
 
6.5%
송 101
 
6.3%
동 97
 
6.1%
시 88
 
5.5%
서 84
 
5.3%
울 84
 
5.3%
로 84
 
5.3%
구 84
 
5.3%
별 84
 
5.3%
특 84
 
5.3%
Other values (132) 702
44.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)75.9%
Missing84
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean5725.0345
Minimum5510
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:33:34.600503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5522.2
Q15676
median5726
Q35838
95-th percentile5855
Maximum5855
Range345
Interquartile range (IQR)162

Descriptive statistics

Standard deviation116.35152
Coefficient of variation (CV)0.020323288
Kurtosis-0.87830552
Mean5725.0345
Median Absolute Deviation (MAD)110
Skewness-0.57685931
Sum166026
Variance13537.677
MonotonicityNot monotonic
2024-05-11T04:33:35.298961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5855 3
 
2.7%
5814 3
 
2.7%
5726 2
 
1.8%
5839 2
 
1.8%
5838 2
 
1.8%
5542 1
 
0.9%
5718 1
 
0.9%
5724 1
 
0.9%
5735 1
 
0.9%
5686 1
 
0.9%
Other values (12) 12
 
10.6%
(Missing) 84
74.3%
ValueCountFrequency (%)
5510 1
0.9%
5517 1
0.9%
5530 1
0.9%
5537 1
0.9%
5542 1
0.9%
5606 1
0.9%
5637 1
0.9%
5676 1
0.9%
5686 1
0.9%
5692 1
0.9%
ValueCountFrequency (%)
5855 3
2.7%
5854 1
 
0.9%
5839 2
1.8%
5838 2
1.8%
5836 1
 
0.9%
5814 3
2.7%
5735 1
 
0.9%
5726 2
1.8%
5724 1
 
0.9%
5718 1
 
0.9%

사업장명
Text

Distinct111
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T04:33:35.892261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.4778761
Min length2

Characters and Unicode

Total characters845
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)96.5%

Sample

1st row금강종합관리
2nd row청수산업
3rd row태경플랜트(주)
4th row우리환경
5th row성원개발(주)
ValueCountFrequency (%)
주식회사 5
 
4.2%
주)검암 2
 
1.7%
주)바인미러클 2
 
1.7%
비젬코 1
 
0.8%
경수기업사 1
 
0.8%
주)파이런텍 1
 
0.8%
주)파란종합관리 1
 
0.8%
태오건설(주 1
 
0.8%
세이프존 1
 
0.8%
에이치에스이엔지 1
 
0.8%
Other values (104) 104
86.7%
2024-05-11T04:33:37.144763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 75
 
8.9%
) 71
 
8.4%
( 70
 
8.3%
이 25
 
3.0%
경 24
 
2.8%
설 20
 
2.4%
건 19
 
2.2%
환 18
 
2.1%
스 17
 
2.0%
씨 16
 
1.9%
Other values (177) 490
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
80.9%
Close Punctuation 71
 
8.4%
Open Punctuation 70
 
8.3%
Space Separator 7
 
0.8%
Lowercase Letter 7
 
0.8%
Uppercase Letter 3
 
0.4%
Other Symbol 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 75
 
11.0%
이 25
 
3.7%
경 24
 
3.5%
설 20
 
2.9%
건 19
 
2.8%
환 18
 
2.6%
스 17
 
2.5%
씨 16
 
2.3%
업 12
 
1.8%
에 11
 
1.6%
Other values (164) 447
65.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
l 2
28.6%
n 1
14.3%
a 1
14.3%
u 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
D 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 686
81.2%
Common 149
 
17.6%
Latin 10
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 75
 
10.9%
이 25
 
3.6%
경 24
 
3.5%
설 20
 
2.9%
건 19
 
2.8%
환 18
 
2.6%
스 17
 
2.5%
씨 16
 
2.3%
업 12
 
1.7%
에 11
 
1.6%
Other values (165) 449
65.5%
Latin
ValueCountFrequency (%)
e 2
20.0%
l 2
20.0%
n 1
10.0%
a 1
10.0%
C 1
10.0%
u 1
10.0%
B 1
10.0%
D 1
10.0%
Common
ValueCountFrequency (%)
) 71
47.7%
( 70
47.0%
7
 
4.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 684
80.9%
ASCII 159
 
18.8%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 75
 
11.0%
이 25
 
3.7%
경 24
 
3.5%
설 20
 
2.9%
건 19
 
2.8%
환 18
 
2.6%
스 17
 
2.5%
씨 16
 
2.3%
업 12
 
1.8%
에 11
 
1.6%
Other values (164) 447
65.4%
ASCII
ValueCountFrequency (%)
) 71
44.7%
( 70
44.0%
7
 
4.4%
e 2
 
1.3%
l 2
 
1.3%
n 1
 
0.6%
a 1
 
0.6%
C 1
 
0.6%
u 1
 
0.6%
B 1
 
0.6%
Other values (2) 2
 
1.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct84
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2015-01-05 21:03:45
Maximum2024-04-08 16:17:15
2024-05-11T04:33:37.603910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:33:38.120508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
72 
U
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 72
63.7%
U 41
36.3%

Length

2024-05-11T04:33:38.759281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:39.145451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 72
63.7%
u 41
36.3%

데이터갱신일자
Categorical

Distinct35
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2018-08-31 23:59:59.0
68 
2020-04-30 02:40:00.0
9 
2020-05-09 02:40:00.0
 
3
2020-05-01 02:40:00.0
 
2
2020-04-15 02:40:00.0
 
1
Other values (30)
30 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique31 ?
Unique (%)27.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-04-29 02:40:00.0
3rd row2020-04-30 02:40:00.0
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 68
60.2%
2020-04-30 02:40:00.0 9
 
8.0%
2020-05-09 02:40:00.0 3
 
2.7%
2020-05-01 02:40:00.0 2
 
1.8%
2020-04-15 02:40:00.0 1
 
0.9%
2020-04-29 02:40:00.0 1
 
0.9%
2021-12-03 22:00:00.0 1
 
0.9%
2021-12-03 22:07:00.0 1
 
0.9%
2022-12-05 23:04:00.0 1
 
0.9%
2022-12-02 23:08:00.0 1
 
0.9%
Other values (25) 25
 
22.1%

Length

2024-05-11T04:33:39.584674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 68
30.1%
23:59:59.0 68
30.1%
02:40:00.0 27
 
11.9%
2020-04-30 9
 
4.0%
2020-05-09 3
 
1.3%
22:07:00.0 2
 
0.9%
23:05:00.0 2
 
0.9%
22:06:00.0 2
 
0.9%
2022-12-06 2
 
0.9%
2022-12-05 2
 
0.9%
Other values (37) 41
18.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)91.5%
Missing7
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean210777.08
Minimum207603.59
Maximum213437.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:33:40.067726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207603.59
5-th percentile208690.34
Q1210190.11
median210754.96
Q3211692.96
95-th percentile212604.95
Maximum213437.06
Range5833.4653
Interquartile range (IQR)1502.8552

Descriptive statistics

Standard deviation1168.6409
Coefficient of variation (CV)0.0055444402
Kurtosis0.1303196
Mean210777.08
Median Absolute Deviation (MAD)740.53538
Skewness-0.30323505
Sum22342370
Variance1365721.6
MonotonicityNot monotonic
2024-05-11T04:33:40.531607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209684.165287386 2
 
1.8%
210780.126180232 2
 
1.8%
211319.590205165 2
 
1.8%
211882.929782233 2
 
1.8%
211054.098432077 2
 
1.8%
210986.460698452 2
 
1.8%
210482.876133293 2
 
1.8%
211782.54381096 2
 
1.8%
210491.821694288 2
 
1.8%
208382.202393567 1
 
0.9%
Other values (87) 87
77.0%
(Missing) 7
 
6.2%
ValueCountFrequency (%)
207603.592813333 1
0.9%
207879.10510222 1
0.9%
207914.786189844 1
0.9%
208382.202393567 1
0.9%
208461.468852344 1
0.9%
208650.97043488 1
0.9%
208808.460094719 1
0.9%
208972.490841898 1
0.9%
208994.017991356 1
0.9%
209195.467829196 1
0.9%
ValueCountFrequency (%)
213437.058111232 1
0.9%
212974.307489876 1
0.9%
212811.975075042 1
0.9%
212768.639964757 1
0.9%
212767.250108165 1
0.9%
212610.528572279 1
0.9%
212588.217174795 1
0.9%
212576.770695495 1
0.9%
212510.828627362 1
0.9%
212376.183826449 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)91.5%
Missing7
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean444307.9
Minimum441720.32
Maximum448601.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:33:41.001049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441720.32
5-th percentile442166.16
Q1443576.17
median444306.28
Q3444982.59
95-th percentile445984.73
Maximum448601.32
Range6881.0026
Interquartile range (IQR)1406.4201

Descriptive statistics

Standard deviation1274.7201
Coefficient of variation (CV)0.0028690016
Kurtosis1.6175114
Mean444307.9
Median Absolute Deviation (MAD)701.31614
Skewness0.47891178
Sum47096638
Variance1624911.3
MonotonicityNot monotonic
2024-05-11T04:33:41.584960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444844.26466847 2
 
1.8%
441730.920486073 2
 
1.8%
444870.488529347 2
 
1.8%
443707.226975887 2
 
1.8%
443368.070188928 2
 
1.8%
441725.293491662 2
 
1.8%
445580.642832588 2
 
1.8%
444662.645641686 2
 
1.8%
445514.139560791 2
 
1.8%
444362.769077476 1
 
0.9%
Other values (87) 87
77.0%
(Missing) 7
 
6.2%
ValueCountFrequency (%)
441720.322 1
0.9%
441725.293491662 2
1.8%
441730.920486073 2
1.8%
442124.327167405 1
0.9%
442291.672315247 1
0.9%
442448.0 1
0.9%
442499.919987256 1
0.9%
442530.872722442 1
0.9%
442553.0 1
0.9%
442586.0 1
0.9%
ValueCountFrequency (%)
448601.324644324 1
0.9%
448400.509865466 1
0.9%
447641.377482801 1
0.9%
447380.181370712 1
0.9%
446087.944327019 1
0.9%
446014.471916419 1
0.9%
445895.515259907 1
0.9%
445829.725943441 1
0.9%
445826.545566831 1
0.9%
445702.432655116 1
0.9%

업무구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
31
97 
<NA>
16 

Length

Max length4
Median length2
Mean length2.2831858
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 97
85.8%
<NA> 16
 
14.2%

Length

2024-05-11T04:33:42.208874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:42.680021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 97
85.8%
na 16
 
14.2%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
108 
0
 
5

Length

Max length4
Median length4
Mean length3.8672566
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 108
95.6%
0 5
 
4.4%

Length

2024-05-11T04:33:42.992578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:43.272874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
95.6%
0 5
 
4.4%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

휴업폐지사유
Text

MISSING 

Distinct28
Distinct (%)56.0%
Missing63
Missing (%)55.8%
Memory size1.0 KiB
2024-05-11T04:33:43.826183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length4
Mean length6.36
Min length2

Characters and Unicode

Total characters318
Distinct characters62
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 (%)42.0%

Sample

1st row폐지신고수리
2nd row소재지변경으로 폐업
3rd row사업부진
4th row사업소이전
5th row영업부진으로 폐업
ValueCountFrequency (%)
영업부진 8
 
10.8%
자진폐업 6
 
8.1%
이전 5
 
6.8%
사업부진 4
 
5.4%
개인사정 4
 
5.4%
회사사정 4
 
5.4%
사업장 3
 
4.1%
폐업 3
 
4.1%
본점 2
 
2.7%
주소이전 2
 
2.7%
Other values (31) 33
44.6%
2024-05-11T04:33:44.889162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 33
 
10.4%
사 30
 
9.4%
24
 
7.5%
진 19
 
6.0%
부 14
 
4.4%
폐 14
 
4.4%
이 12
 
3.8%
영 11
 
3.5%
전 10
 
3.1%
정 10
 
3.1%
Other values (52) 141
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
89.9%
Space Separator 24
 
7.5%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 33
 
11.5%
사 30
 
10.5%
진 19
 
6.6%
부 14
 
4.9%
폐 14
 
4.9%
이 12
 
4.2%
영 11
 
3.8%
전 10
 
3.5%
정 10
 
3.5%
로 9
 
3.1%
Other values (47) 124
43.4%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
89.9%
Common 32
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 33
 
11.5%
사 30
 
10.5%
진 19
 
6.6%
부 14
 
4.9%
폐 14
 
4.9%
이 12
 
4.2%
영 11
 
3.8%
전 10
 
3.5%
정 10
 
3.5%
로 9
 
3.1%
Other values (47) 124
43.4%
Common
ValueCountFrequency (%)
24
75.0%
( 3
 
9.4%
) 3
 
9.4%
4 1
 
3.1%
3 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
89.9%
ASCII 32
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 33
 
11.5%
사 30
 
10.5%
진 19
 
6.6%
부 14
 
4.9%
폐 14
 
4.9%
이 12
 
4.2%
영 11
 
3.8%
전 10
 
3.5%
정 10
 
3.5%
로 9
 
3.1%
Other values (47) 124
43.4%
ASCII
ValueCountFrequency (%)
24
75.0%
( 3
 
9.4%
) 3
 
9.4%
4 1
 
3.1%
3 1
 
3.1%

업무구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
저수조청소업
97 
<NA>
16 

Length

Max length6
Median length6
Mean length5.7168142
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 97
85.8%
<NA> 16
 
14.2%

Length

2024-05-11T04:33:45.389813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:45.728801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 97
85.8%
na 16
 
14.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0323000032300003120010000120041220<NA>3폐업2폐업<NA><NA><NA><NA>424-4484<NA><NA>서울특별시 송파구 방이동 626<NA><NA>금강종합관리2015-01-05 21:03:45I2018-08-31 23:59:59.0<NA><NA><NA>31<NA><NA><NA><NA><NA>폐지신고수리저수조청소업
1323000032300003120010000220121017<NA>3폐업2폐업20200424<NA><NA><NA>02-415-0448<NA><NA>서울특별시 송파구 가락동 168-6서울특별시 송파구 오금로44길 18-1 (가락동)<NA>청수산업2020-04-27 10:17:36U2020-04-29 02:40:00.0<NA>211844.435144443777.31349931<NA><NA><NA><NA><NA>소재지변경으로 폐업저수조청소업
2323000032300003120010000320011101<NA>1영업/정상11정상<NA><NA><NA><NA>02-402-1371<NA><NA>서울특별시 송파구 가락동 196-16 1층서울특별시 송파구 오금로46길 62, 1층 (가락동)<NA>태경플랜트(주)2020-04-28 17:43:50U2020-04-30 02:40:00.0<NA>211573.043355443435.75483731<NA><NA><NA><NA><NA><NA>저수조청소업
3323000032300003120010000420070628<NA>3폐업2폐업<NA><NA><NA><NA>02-403-2241<NA><NA>서울특별시 송파구 오금동 90<NA><NA>우리환경2015-01-05 21:03:45I2018-08-31 23:59:59.0<NA>211740.284875445027.97814831<NA><NA><NA><NA><NA>사업부진저수조청소업
4323000032300003120010000520081118<NA>3폐업2폐업20081118<NA><NA><NA>02-424-5671<NA><NA>서울특별시 송파구 석촌동 184-4<NA><NA>성원개발(주)2015-01-05 21:03:45I2018-08-31 23:59:59.0<NA>209195.467829445016.83846731<NA><NA><NA><NA><NA>사업소이전저수조청소업
5323000032300003120030000220220322<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 220-12서울특별시 송파구 백제고분로34길 44, 1층 104호 (석촌동)5692원선환경2022-03-22 17:13:16U2022-03-24 02:40:00.0<NA>208650.970435444052.9925831<NA>0<NA><NA><NA><NA>저수조청소업
632300003230000312003000032017-12-28<NA>3폐업2폐업2023-07-03<NA><NA><NA>423-8445<NA><NA>서울특별시 송파구 방이동 *** 고려빌딩 *층서울특별시 송파구 오금로**길 *, *층 (방이동, 고려빌딩)<NA>푸른환경건설2023-12-04 16:14:52U2022-11-02 00:06:00.0<NA>210580.252342444957.167618<NA><NA><NA><NA><NA><NA><NA><NA>
7323000032300003120030000420120316<NA>3폐업2폐업20150922<NA><NA><NA>02-420-3121<NA><NA>서울특별시 송파구 송파동 19-5서울특별시 송파구 백제고분로 379 (송파동)<NA>㈜에이취이아이2015-09-22 17:24:08I2018-08-31 23:59:59.0<NA>209452.341133444866.77298631<NA><NA><NA><NA><NA><NA>저수조청소업
8323000032300003120030000520101110<NA>3폐업2폐업20150918<NA><NA><NA>02-404-4677<NA><NA>서울특별시 송파구 오금동 128-1 3층서울특별시 송파구 동남로 299, 3층 (오금동)<NA>(주)영풍엔지니어링2015-09-18 16:51:18I2018-08-31 23:59:59.0<NA>212078.206213444472.27281731<NA><NA><NA><NA><NA>영업부진으로 폐업저수조청소업
9323000032300003120030000620071228<NA>3폐업2폐업<NA><NA><NA><NA>02-417-9391<NA><NA>서울특별시 송파구 신천동 7-13 향군빌딩 5층<NA><NA>향우종합관리(주)2015-01-05 21:03:45I2018-08-31 23:59:59.0<NA>208808.460095446014.47191631<NA><NA><NA><NA><NA>사업부진저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
103323000032300003120200000120200114<NA>1영업/정상11정상<NA><NA><NA><NA>02-474-1643<NA><NA>서울특별시 송파구 장지동 904-2 센트라포레서울특별시 송파구 위례순환로 478, 센트라포레 8층 804호 (장지동)5814길한건설(주)2020-01-15 16:44:39I2020-01-17 00:23:25.0<NA><NA><NA>31<NA><NA><NA><NA><NA><NA>저수조청소업
10432300003230000312020000022020-04-20<NA>1영업/정상11정상<NA><NA><NA><NA>02-430-9775<NA><NA>서울특별시 송파구 오금동 **-** 지층서울특별시 송파구 동남로**길 **, 지층 (오금동)5726해든2024-04-08 16:17:15U2023-12-03 23:00:00.0<NA>211782.543811444662.645642<NA><NA><NA><NA><NA><NA><NA><NA>
105323000032300003120210000120221216<NA>1영업/정상11정상<NA><NA><NA><NA>02-401-1873<NA><NA>서울특별시 송파구 장지동 ***-* 센트라포레서울특별시 송파구 위례순환로 ***, 센트라포레 *층 ***호 (장지동)5814(주)풍산씨앤씨2023-01-16 13:54:51U2022-11-30 23:08:00.0<NA>211788.824441720.322<NA><NA><NA><NA><NA><NA><NA><NA>
106323000032300003120210000220210303<NA>1영업/정상11정상<NA><NA><NA><NA>031-759-5002<NA><NA>서울특별시 송파구 문정동 634 가든파이브라이프 9032호서울특별시 송파구 충민로 66, 가든파이브라이프 제엘층 9032호 (문정동)5838주식회사 일우엔텍2021-03-03 13:38:06I2021-03-05 00:23:00.0<NA>210986.460698441725.29349231<NA><NA><NA><NA><NA><NA>저수조청소업
107323000032300003120210000320210317<NA>1영업/정상11정상<NA><NA><NA><NA>02-479-4135<NA><NA>서울특별시 송파구 방이동 191-12 한마을빌딩서울특별시 송파구 위례성대로16길 12, 한마을빌딩 202-1호 (방이동)5637(주)비엠더코리아 서울송파방이영업소2022-07-21 08:39:01U2021-12-06 22:03:00.0<NA>210941.147144445520.345839<NA><NA><NA><NA><NA><NA><NA><NA>
10832300003230000312022000012022-09-02<NA>1영업/정상11정상<NA><NA><NA><NA>02-2677-2994<NA><NA>서울특별시 송파구 석촌동 ***-** ***호서울특별시 송파구 송파대로**길 *, ***호 (석촌동)5686다원환경건설 주식회사2023-07-11 16:30:10U2022-12-06 23:03:00.0<NA>209526.387366444521.649585<NA><NA><NA><NA><NA><NA><NA><NA>
10932300003230000312023000012023-04-17<NA>1영업/정상11정상<NA><NA><NA><NA>070-5015-5568<NA><NA>서울특별시 송파구 문정동 *** 가든파이브라이프 Y****호서울특별시 송파구 충민로 **, 가든파이브라이프 *층 Y-****호 (문정동)5838(주)덕우피씨아이2023-04-24 18:02:05I2022-12-03 22:06:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA><NA><NA><NA><NA>
11032300003230000312023000022023-04-25<NA>1영업/정상11정상<NA><NA><NA><NA>02-409-7476<NA><NA>서울특별시 송파구 거여동 ***-** 동일빌딩 ***호서울특별시 송파구 마천로 ***, 동일빌딩 ***호 (거여동)5735(주)그린나래씨앤에스2023-07-17 16:48:29U2022-12-06 23:09:00.0<NA>212768.639965444059.087176<NA><NA><NA><NA><NA><NA><NA><NA>
11132300003230000312023000032015-12-10<NA>1영업/정상11정상<NA><NA><NA><NA>02-473-2330<NA><NA>서울특별시 송파구 오금동 **-* 생활의 지혜와 향기 *층서울특별시 송파구 중대로 ***, 생활의 지혜와 향기 *층 (오금동)5724사단법인한국참여자치장애인총연합회2023-10-25 09:17:20U2022-10-30 22:07:00.0<NA>211687.505653444991.068219<NA><NA><NA><NA><NA><NA><NA><NA>
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