Overview

Dataset statistics

Number of variables33
Number of observations150
Missing cells2047
Missing cells (%)41.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.4 KiB
Average record size in memory282.9 B

Variable types

Categorical10
Numeric4
DateTime5
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-19495/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
건축물연면적 is highly imbalanced (62.2%)Imbalance
인허가취소일자 has 150 (100.0%) missing valuesMissing
폐업일자 has 79 (52.7%) missing valuesMissing
휴업시작일자 has 149 (99.3%) missing valuesMissing
휴업종료일자 has 149 (99.3%) missing valuesMissing
재개업일자 has 150 (100.0%) missing valuesMissing
전화번호 has 21 (14.0%) missing valuesMissing
소재지면적 has 150 (100.0%) missing valuesMissing
소재지우편번호 has 150 (100.0%) missing valuesMissing
도로명주소 has 77 (51.3%) missing valuesMissing
도로명우편번호 has 120 (80.0%) missing valuesMissing
업태구분명 has 150 (100.0%) missing valuesMissing
좌표정보(X) has 9 (6.0%) missing valuesMissing
좌표정보(Y) has 9 (6.0%) missing valuesMissing
건축물명 has 150 (100.0%) missing valuesMissing
건축물상태명 has 150 (100.0%) missing valuesMissing
청소대상시작일자 has 150 (100.0%) missing valuesMissing
청소대상종료일자 has 150 (100.0%) missing valuesMissing
휴업폐지사유 has 84 (56.0%) 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 started2024-04-29 19:57:09.161787
Analysis finished2024-04-29 19:57:09.932077
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3180000
150 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 150
100.0%

Length

2024-04-30T04:57:09.993717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:10.072324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 150
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1800003 × 1017
Minimum3.1800003 × 1017
Maximum3.1800003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:57:10.156512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1800003 × 1017
5-th percentile3.1800003 × 1017
Q13.1800003 × 1017
median3.1800003 × 1017
Q33.1800003 × 1017
95-th percentile3.1800003 × 1017
Maximum3.1800003 × 1017
Range2800000
Interquartile range (IQR)1099968

Descriptive statistics

Standard deviation744410.45
Coefficient of variation (CV)2.3409131 × 10-12
Kurtosis-0.68551688
Mean3.1800003 × 1017
Median Absolute Deviation (MAD)499968
Skewness0.34734334
Sum-7.6402275 × 1018
Variance5.5414692 × 1011
MonotonicityStrictly increasing
2024-04-30T04:57:10.263496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
318000031199500001 1
 
0.7%
318000031200800001 1
 
0.7%
318000031200800003 1
 
0.7%
318000031200900001 1
 
0.7%
318000031200900002 1
 
0.7%
318000031200900003 1
 
0.7%
318000031200900004 1
 
0.7%
318000031200900005 1
 
0.7%
318000031201000001 1
 
0.7%
318000031201000002 1
 
0.7%
Other values (140) 140
93.3%
ValueCountFrequency (%)
318000031199500001 1
0.7%
318000031199500002 1
0.7%
318000031199500003 1
0.7%
318000031199500004 1
0.7%
318000031199500005 1
0.7%
318000031199500006 1
0.7%
318000031199500007 1
0.7%
318000031199500008 1
0.7%
318000031199500009 1
0.7%
318000031199500010 1
0.7%
ValueCountFrequency (%)
318000031202300001 1
0.7%
318000031202200002 1
0.7%
318000031202200001 1
0.7%
318000031202100003 1
0.7%
318000031202100002 1
0.7%
318000031202100001 1
0.7%
318000031202000004 1
0.7%
318000031202000003 1
0.7%
318000031202000002 1
0.7%
318000031202000001 1
0.7%

인허가일자
Date

Distinct141
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1995-02-04 00:00:00
Maximum2024-04-16 00:00:00
2024-04-30T04:57:10.378466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:10.488444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
78 
1
69 
5
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 78
52.0%
1 69
46.0%
5 2
 
1.3%
2 1
 
0.7%

Length

2024-04-30T04:57:10.610302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:10.713814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 78
52.0%
1 69
46.0%
5 2
 
1.3%
2 1
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
78 
영업/정상
69 
제외/삭제/전출
 
2
휴업
 
1

Length

Max length8
Median length2
Mean length3.46
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 78
52.0%
영업/정상 69
46.0%
제외/삭제/전출 2
 
1.3%
휴업 1
 
0.7%

Length

2024-04-30T04:57:10.821116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:10.924886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 78
52.0%
영업/정상 69
46.0%
제외/삭제/전출 2
 
1.3%
휴업 1
 
0.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2
78 
11
69 
5
 
2
1
 
1

Length

Max length2
Median length1
Mean length1.46
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
2 78
52.0%
11 69
46.0%
5 2
 
1.3%
1 1
 
0.7%

Length

2024-04-30T04:57:11.021288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:11.106323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 78
52.0%
11 69
46.0%
5 2
 
1.3%
1 1
 
0.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
78 
정상
69 
제외사항
 
2
휴업
 
1

Length

Max length4
Median length2
Mean length2.0266667
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 78
52.0%
정상 69
46.0%
제외사항 2
 
1.3%
휴업 1
 
0.7%

Length

2024-04-30T04:57:11.209229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:11.301638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 78
52.0%
정상 69
46.0%
제외사항 2
 
1.3%
휴업 1
 
0.7%

폐업일자
Date

MISSING 

Distinct68
Distinct (%)95.8%
Missing79
Missing (%)52.7%
Memory size1.3 KiB
Minimum2008-07-22 00:00:00
Maximum2024-03-19 00:00:00
2024-04-30T04:57:11.407628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:11.536114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing149
Missing (%)99.3%
Memory size1.3 KiB
Minimum2024-03-08 00:00:00
Maximum2024-03-08 00:00:00
2024-04-30T04:57:11.627379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:11.703409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing149
Missing (%)99.3%
Memory size1.3 KiB
Minimum2025-03-07 00:00:00
Maximum2025-03-07 00:00:00
2024-04-30T04:57:11.790257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:11.873147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct123
Distinct (%)95.3%
Missing21
Missing (%)14.0%
Memory size1.3 KiB
2024-04-30T04:57:12.111981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.9844961
Min length7

Characters and Unicode

Total characters1159
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

Unique117 ?
Unique (%)90.7%

Sample

1st row2632-2134
2nd row849-6290
3rd row822-3111
4th row761-0633
5th row2672-5670
ValueCountFrequency (%)
833-2731 2
 
1.6%
836-5418 2
 
1.6%
842-0696 2
 
1.6%
2631-4812 2
 
1.6%
028757868 2
 
1.6%
845-1564 2
 
1.6%
2677-1674 1
 
0.8%
832-8501 1
 
0.8%
730-8240 1
 
0.8%
0226783001 1
 
0.8%
Other values (113) 113
87.6%
2024-04-30T04:57:12.494088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 147
12.7%
- 142
12.3%
8 134
11.6%
3 123
10.6%
4 108
9.3%
0 106
9.1%
6 105
9.1%
7 93
8.0%
5 82
7.1%
1 77
6.6%
Other values (2) 42
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1016
87.7%
Dash Punctuation 142
 
12.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 147
14.5%
8 134
13.2%
3 123
12.1%
4 108
10.6%
0 106
10.4%
6 105
10.3%
7 93
9.2%
5 82
8.1%
1 77
7.6%
9 41
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 147
12.7%
- 142
12.3%
8 134
11.6%
3 123
10.6%
4 108
9.3%
0 106
9.1%
6 105
9.1%
7 93
8.0%
5 82
7.1%
1 77
6.6%
Other values (2) 42
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 147
12.7%
- 142
12.3%
8 134
11.6%
3 123
10.6%
4 108
9.3%
0 106
9.1%
6 105
9.1%
7 93
8.0%
5 82
7.1%
1 77
6.6%
Other values (2) 42
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

Distinct139
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T04:57:12.712924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33.5
Mean length26.166667
Min length18

Characters and Unicode

Total characters3925
Distinct characters132
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)86.0%

Sample

1st row서울특별시 영등포구 당산동1가 353
2nd row서울특별시 영등포구 신길동 166-4
3rd row서울특별시 영등포구 대림동 ***-**
4th row서울특별시 영등포구 여의도동 14-32
5th row서울특별시 영등포구 영등포동2가 94-23
ValueCountFrequency (%)
서울특별시 150
20.4%
영등포구 148
20.1%
대림동 44
 
6.0%
21
 
2.9%
신길동 20
 
2.7%
여의도동 13
 
1.8%
양평동2가 8
 
1.1%
401호 6
 
0.8%
도림동 6
 
0.8%
호 5
 
0.7%
Other values (226) 315
42.8%
2024-04-30T04:57:13.053493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
 
17.9%
영 165
 
4.2%
동 164
 
4.2%
포 161
 
4.1%
등 161
 
4.1%
시 155
 
3.9%
구 152
 
3.9%
울 150
 
3.8%
서 150
 
3.8%
별 150
 
3.8%
Other values (122) 1816
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2260
57.6%
Decimal Number 707
 
18.0%
Space Separator 701
 
17.9%
Dash Punctuation 127
 
3.2%
Other Punctuation 108
 
2.8%
Lowercase Letter 7
 
0.2%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 165
 
7.3%
동 164
 
7.3%
포 161
 
7.1%
등 161
 
7.1%
시 155
 
6.9%
구 152
 
6.7%
울 150
 
6.6%
서 150
 
6.6%
별 150
 
6.6%
특 150
 
6.6%
Other values (101) 702
31.1%
Decimal Number
ValueCountFrequency (%)
1 114
16.1%
2 109
15.4%
3 83
11.7%
4 74
10.5%
0 70
9.9%
6 67
9.5%
5 54
7.6%
9 50
7.1%
7 47
6.6%
8 39
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
k 2
28.6%
v 2
28.6%
n 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Other Punctuation
ValueCountFrequency (%)
* 108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2260
57.6%
Common 1655
42.2%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 165
 
7.3%
동 164
 
7.3%
포 161
 
7.1%
등 161
 
7.1%
시 155
 
6.9%
구 152
 
6.7%
울 150
 
6.6%
서 150
 
6.6%
별 150
 
6.6%
특 150
 
6.6%
Other values (101) 702
31.1%
Common
ValueCountFrequency (%)
701
42.4%
- 127
 
7.7%
1 114
 
6.9%
2 109
 
6.6%
* 108
 
6.5%
3 83
 
5.0%
4 74
 
4.5%
0 70
 
4.2%
6 67
 
4.0%
5 54
 
3.3%
Other values (5) 148
 
8.9%
Latin
ValueCountFrequency (%)
s 2
20.0%
k 2
20.0%
v 2
20.0%
K 2
20.0%
n 1
10.0%
B 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2260
57.6%
ASCII 1665
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
42.1%
- 127
 
7.6%
1 114
 
6.8%
2 109
 
6.5%
* 108
 
6.5%
3 83
 
5.0%
4 74
 
4.4%
0 70
 
4.2%
6 67
 
4.0%
5 54
 
3.2%
Other values (11) 158
 
9.5%
Hangul
ValueCountFrequency (%)
영 165
 
7.3%
동 164
 
7.3%
포 161
 
7.1%
등 161
 
7.1%
시 155
 
6.9%
구 152
 
6.7%
울 150
 
6.6%
서 150
 
6.6%
별 150
 
6.6%
특 150
 
6.6%
Other values (101) 702
31.1%

도로명주소
Text

MISSING 

Distinct69
Distinct (%)94.5%
Missing77
Missing (%)51.3%
Memory size1.3 KiB
2024-04-30T04:57:13.260849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length34.917808
Min length23

Characters and Unicode

Total characters2549
Distinct characters130
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

Unique65 ?
Unique (%)89.0%

Sample

1st row서울특별시 영등포구 도신로 223-6 (신길동)
2nd row서울특별시 영등포구 시흥대로***길 * (대림동)
3rd row서울특별시 영등포구 국제금융로6길 33, 1005호 (여의도동)
4th row서울특별시 영등포구 선유로 40, 중원빌딩 (문래동3가)
5th row서울특별시 영등포구 대방천로 140 (대림동)
ValueCountFrequency (%)
서울특별시 73
 
15.6%
영등포구 71
 
15.2%
대림동 18
 
3.9%
16
 
3.4%
호 11
 
2.4%
3 7
 
1.5%
신길동 7
 
1.5%
도림동 5
 
1.1%
14 4
 
0.9%
10 4
 
0.9%
Other values (185) 251
53.7%
2024-04-30T04:57:13.591710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
 
15.5%
* 106
 
4.2%
영 93
 
3.6%
등 85
 
3.3%
포 85
 
3.3%
동 84
 
3.3%
서 76
 
3.0%
시 76
 
3.0%
구 75
 
2.9%
로 75
 
2.9%
Other values (120) 1400
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1484
58.2%
Space Separator 394
 
15.5%
Decimal Number 333
 
13.1%
Other Punctuation 174
 
6.8%
Open Punctuation 73
 
2.9%
Close Punctuation 73
 
2.9%
Dash Punctuation 12
 
0.5%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 93
 
6.3%
등 85
 
5.7%
포 85
 
5.7%
동 84
 
5.7%
서 76
 
5.1%
시 76
 
5.1%
구 75
 
5.1%
로 75
 
5.1%
특 73
 
4.9%
별 73
 
4.9%
Other values (101) 689
46.4%
Decimal Number
ValueCountFrequency (%)
1 63
18.9%
2 56
16.8%
3 49
14.7%
0 45
13.5%
6 27
8.1%
4 25
 
7.5%
5 21
 
6.3%
7 18
 
5.4%
8 16
 
4.8%
9 13
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
k 2
33.3%
v 2
33.3%
Other Punctuation
ValueCountFrequency (%)
* 106
60.9%
, 68
39.1%
Space Separator
ValueCountFrequency (%)
394
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1484
58.2%
Common 1059
41.5%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 93
 
6.3%
등 85
 
5.7%
포 85
 
5.7%
동 84
 
5.7%
서 76
 
5.1%
시 76
 
5.1%
구 75
 
5.1%
로 75
 
5.1%
특 73
 
4.9%
별 73
 
4.9%
Other values (101) 689
46.4%
Common
ValueCountFrequency (%)
394
37.2%
* 106
 
10.0%
( 73
 
6.9%
) 73
 
6.9%
, 68
 
6.4%
1 63
 
5.9%
2 56
 
5.3%
3 49
 
4.6%
0 45
 
4.2%
6 27
 
2.5%
Other values (6) 105
 
9.9%
Latin
ValueCountFrequency (%)
s 2
33.3%
k 2
33.3%
v 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1484
58.2%
ASCII 1065
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
37.0%
* 106
 
10.0%
( 73
 
6.9%
) 73
 
6.9%
, 68
 
6.4%
1 63
 
5.9%
2 56
 
5.3%
3 49
 
4.6%
0 45
 
4.2%
6 27
 
2.5%
Other values (9) 111
 
10.4%
Hangul
ValueCountFrequency (%)
영 93
 
6.3%
등 85
 
5.7%
포 85
 
5.7%
동 84
 
5.7%
서 76
 
5.1%
시 76
 
5.1%
구 75
 
5.1%
로 75
 
5.1%
특 73
 
4.9%
별 73
 
4.9%
Other values (101) 689
46.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)70.0%
Missing120
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean7153.5667
Minimum3059
Maximum7412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:57:13.701457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3059
5-th percentile7202
Q17243.25
median7281
Q37352.5
95-th percentile7411.1
Maximum7412
Range4353
Interquartile range (IQR)109.25

Descriptive statistics

Standard deviation776.20606
Coefficient of variation (CV)0.10850616
Kurtosis29.512547
Mean7153.5667
Median Absolute Deviation (MAD)51.5
Skewness-5.4121855
Sum214607
Variance602495.84
MonotonicityNot monotonic
2024-04-30T04:57:13.809339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7250 3
 
2.0%
7412 2
 
1.3%
7274 2
 
1.3%
7281 2
 
1.3%
7290 2
 
1.3%
7202 2
 
1.3%
7370 2
 
1.3%
7285 2
 
1.3%
7209 1
 
0.7%
7308 1
 
0.7%
Other values (11) 11
 
7.3%
(Missing) 120
80.0%
ValueCountFrequency (%)
3059 1
 
0.7%
7202 2
1.3%
7205 1
 
0.7%
7209 1
 
0.7%
7222 1
 
0.7%
7230 1
 
0.7%
7241 1
 
0.7%
7250 3
2.0%
7274 2
1.3%
7275 1
 
0.7%
ValueCountFrequency (%)
7412 2
1.3%
7410 1
0.7%
7401 1
0.7%
7377 1
0.7%
7370 2
1.3%
7359 1
0.7%
7333 1
0.7%
7308 1
0.7%
7290 2
1.3%
7285 2
1.3%

사업장명
Text

Distinct148
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T04:57:14.019433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.3133333
Min length2

Characters and Unicode

Total characters1097
Distinct characters211
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)97.3%

Sample

1st row일신설비
2nd row홍선산업(주)
3rd row상신기계공영(주)
4th row보흥실업(주)
5th row현풍개발(주)
ValueCountFrequency (%)
주식회사 3
 
1.9%
태린이엔씨 2
 
1.3%
보건기업(주 2
 
1.3%
수환경 1
 
0.6%
엘림에스엘(주 1
 
0.6%
js 1
 
0.6%
정우산업개발 1
 
0.6%
만보엔지니어링(주 1
 
0.6%
주)하이스콘 1
 
0.6%
주)특임용역사업단 1
 
0.6%
Other values (143) 143
91.1%
2024-04-30T04:57:14.389559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 104
 
9.5%
( 96
 
8.8%
) 96
 
8.8%
건 32
 
2.9%
설 25
 
2.3%
이 25
 
2.3%
업 25
 
2.3%
스 21
 
1.9%
개 17
 
1.5%
산 17
 
1.5%
Other values (201) 639
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
80.8%
Open Punctuation 96
 
8.8%
Close Punctuation 96
 
8.8%
Uppercase Letter 11
 
1.0%
Space Separator 7
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 104
 
11.7%
건 32
 
3.6%
설 25
 
2.8%
이 25
 
2.8%
업 25
 
2.8%
스 21
 
2.4%
개 17
 
1.9%
산 17
 
1.9%
경 16
 
1.8%
씨 16
 
1.8%
Other values (189) 588
66.4%
Uppercase Letter
ValueCountFrequency (%)
N 2
18.2%
G 2
18.2%
S 2
18.2%
B 1
9.1%
E 1
9.1%
C 1
9.1%
J 1
9.1%
T 1
9.1%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
80.8%
Common 200
 
18.2%
Latin 11
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 104
 
11.7%
건 32
 
3.6%
설 25
 
2.8%
이 25
 
2.8%
업 25
 
2.8%
스 21
 
2.4%
개 17
 
1.9%
산 17
 
1.9%
경 16
 
1.8%
씨 16
 
1.8%
Other values (189) 588
66.4%
Latin
ValueCountFrequency (%)
N 2
18.2%
G 2
18.2%
S 2
18.2%
B 1
9.1%
E 1
9.1%
C 1
9.1%
J 1
9.1%
T 1
9.1%
Common
ValueCountFrequency (%)
( 96
48.0%
) 96
48.0%
7
 
3.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
80.8%
ASCII 211
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 104
 
11.7%
건 32
 
3.6%
설 25
 
2.8%
이 25
 
2.8%
업 25
 
2.8%
스 21
 
2.4%
개 17
 
1.9%
산 17
 
1.9%
경 16
 
1.8%
씨 16
 
1.8%
Other values (189) 588
66.4%
ASCII
ValueCountFrequency (%)
( 96
45.5%
) 96
45.5%
7
 
3.3%
N 2
 
0.9%
G 2
 
0.9%
S 2
 
0.9%
B 1
 
0.5%
E 1
 
0.5%
& 1
 
0.5%
C 1
 
0.5%
Other values (2) 2
 
0.9%

최종수정일자
Date

Distinct82
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2015-01-05 21:08:30
Maximum2024-04-16 09:36:57
2024-04-30T04:57:14.505773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:14.612965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
100 
U
50 

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 100
66.7%
U 50
33.3%

Length

2024-04-30T04:57:14.890124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:14.975338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 100
66.7%
u 50
33.3%

데이터갱신일자
Categorical

Distinct49
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2018-08-31 23:59:59.0
94 
2022-11-02 00:02:00.0
 
4
2021-10-30 21:00:00.0
 
2
2020-02-09 00:23:23.0
 
2
2020-05-16 02:40:00.0
 
2
Other values (44)
46 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique42 ?
Unique (%)28.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-12-04 00:07:00.0
3rd row2022-12-03 00:09:00.0
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 94
62.7%
2022-11-02 00:02:00.0 4
 
2.7%
2021-10-30 21:00:00.0 2
 
1.3%
2020-02-09 00:23:23.0 2
 
1.3%
2020-05-16 02:40:00.0 2
 
1.3%
2021-02-05 02:40:00.0 2
 
1.3%
2022-02-12 02:40:00.0 2
 
1.3%
2020-11-11 02:40:00.0 1
 
0.7%
2021-07-08 02:40:00.0 1
 
0.7%
2023-12-03 23:08:00.0 1
 
0.7%
Other values (39) 39
26.0%

Length

2024-04-30T04:57:15.081245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 94
31.3%
23:59:59.0 94
31.3%
02:40:00.0 24
 
8.0%
00:02:00.0 6
 
2.0%
2022-11-02 5
 
1.7%
2022-12-02 3
 
1.0%
2022-12-03 3
 
1.0%
2021-01-28 2
 
0.7%
00:01:00.0 2
 
0.7%
2021-12-04 2
 
0.7%
Other values (54) 65
21.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)77.3%
Missing9
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean191274.53
Minimum189549.85
Maximum198730.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:57:15.191913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189549.85
5-th percentile189700.36
Q1190636.81
median191017.77
Q3191637.81
95-th percentile193224.52
Maximum198730.42
Range9180.5754
Interquartile range (IQR)1000.9945

Descriptive statistics

Standard deviation1184.0883
Coefficient of variation (CV)0.0061905173
Kurtosis10.517238
Mean191274.53
Median Absolute Deviation (MAD)587.69194
Skewness2.1924984
Sum26969709
Variance1402065.1
MonotonicityNot monotonic
2024-04-30T04:57:15.338916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191634.097994107 5
 
3.3%
190916.530966281 4
 
2.7%
190636.81446307 3
 
2.0%
191017.769886502 3
 
2.0%
190815.239059872 3
 
2.0%
191634.434595481 3
 
2.0%
190023.48828661 3
 
2.0%
192833.96800059 2
 
1.3%
191053.169851872 2
 
1.3%
191385.338691056 2
 
1.3%
Other values (99) 111
74.0%
(Missing) 9
 
6.0%
ValueCountFrequency (%)
189549.847307536 1
0.7%
189574.962072527 1
0.7%
189586.236800721 1
0.7%
189651.949080387 1
0.7%
189662.247717869 1
0.7%
189682.022243843 1
0.7%
189683.120752309 1
0.7%
189700.355755718 1
0.7%
189723.750290155 1
0.7%
189740.94885729 1
0.7%
ValueCountFrequency (%)
198730.42270033 1
0.7%
194561.746032498 1
0.7%
193999.840415079 1
0.7%
193818.79109034 1
0.7%
193798.948251805 1
0.7%
193472.910163127 1
0.7%
193469.554731741 1
0.7%
193224.517898023 1
0.7%
193031.161079143 1
0.7%
192998.794200552 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)77.3%
Missing9
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean445612.97
Minimum442910.35
Maximum452928.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:57:15.453961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442910.35
5-th percentile443596.5
Q1444122.08
median445552.27
Q3446888.9
95-th percentile447951.85
Maximum452928.2
Range10017.855
Interquartile range (IQR)2766.8243

Descriptive statistics

Standard deviation1606.1565
Coefficient of variation (CV)0.0036043756
Kurtosis1.5452159
Mean445612.97
Median Absolute Deviation (MAD)1395.9212
Skewness0.74273383
Sum62831428
Variance2579738.7
MonotonicityNot monotonic
2024-04-30T04:57:15.563690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444122.079202108 5
 
3.3%
443955.178224315 4
 
2.7%
444441.91832398 3
 
2.0%
443896.684487073 3
 
2.0%
444250.453685007 3
 
2.0%
446595.213058616 3
 
2.0%
446044.579840782 3
 
2.0%
447548.542565698 2
 
1.3%
444282.122048358 2
 
1.3%
443343.490795797 2
 
1.3%
Other values (99) 111
74.0%
(Missing) 9
 
6.0%
ValueCountFrequency (%)
442910.349647492 1
0.7%
443035.744665571 2
1.3%
443343.490795797 2
1.3%
443535.95612026 1
0.7%
443578.565673887 1
0.7%
443596.502330685 2
1.3%
443775.040145462 2
1.3%
443802.904312846 1
0.7%
443821.996723237 1
0.7%
443841.455440573 1
0.7%
ValueCountFrequency (%)
452928.204610535 1
0.7%
448975.881003491 1
0.7%
448779.57454276 2
1.3%
448477.213372581 1
0.7%
448203.250446992 1
0.7%
448194.634931258 1
0.7%
447951.84799243 1
0.7%
447739.896956998 1
0.7%
447565.833110358 1
0.7%
447548.542565698 2
1.3%

업무구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
31
124 
<NA>
26 

Length

Max length4
Median length2
Mean length2.3466667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row<NA>
3rd row<NA>
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 124
82.7%
<NA> 26
 
17.3%

Length

2024-04-30T04:57:15.669290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:15.762362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 124
82.7%
na 26
 
17.3%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
139 
0
 
11

Length

Max length4
Median length4
Mean length3.78
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> 139
92.7%
0 11
 
7.3%

Length

2024-04-30T04:57:15.859148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:15.966424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
92.7%
0 11
 
7.3%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

휴업폐지사유
Text

MISSING 

Distinct43
Distinct (%)65.2%
Missing84
Missing (%)56.0%
Memory size1.3 KiB
2024-04-30T04:57:16.158105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length7.8484848
Min length2

Characters and Unicode

Total characters518
Distinct characters100
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)54.5%

Sample

1st row회사사정
2nd row사업부진
3rd row사업장이전
4th row영업부진
5th row사업부진
ValueCountFrequency (%)
사업부진 13
 
9.6%
이전 9
 
6.6%
폐업 9
 
6.6%
사업장 7
 
5.1%
소재지 7
 
5.1%
인한 6
 
4.4%
영업부진 5
 
3.7%
변경으로 3
 
2.2%
불가로 2
 
1.5%
폐업신고 2
 
1.5%
Other values (67) 73
53.7%
2024-04-30T04:57:16.484350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
13.5%
업 54
 
10.4%
사 31
 
6.0%
진 21
 
4.1%
이 21
 
4.1%
전 20
 
3.9%
부 19
 
3.7%
폐 15
 
2.9%
지 13
 
2.5%
소 13
 
2.5%
Other values (90) 241
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
83.4%
Space Separator 70
 
13.5%
Decimal Number 7
 
1.4%
Other Punctuation 4
 
0.8%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 54
 
12.5%
사 31
 
7.2%
진 21
 
4.9%
이 21
 
4.9%
전 20
 
4.6%
부 19
 
4.4%
폐 15
 
3.5%
지 13
 
3.0%
소 13
 
3.0%
로 12
 
2.8%
Other values (80) 213
49.3%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
0 2
28.6%
1 2
28.6%
5 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
83.4%
Common 86
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 54
 
12.5%
사 31
 
7.2%
진 21
 
4.9%
이 21
 
4.9%
전 20
 
4.6%
부 19
 
4.4%
폐 15
 
3.5%
지 13
 
3.0%
소 13
 
3.0%
로 12
 
2.8%
Other values (80) 213
49.3%
Common
ValueCountFrequency (%)
70
81.4%
. 3
 
3.5%
( 2
 
2.3%
) 2
 
2.3%
2 2
 
2.3%
0 2
 
2.3%
1 2
 
2.3%
5 1
 
1.2%
, 1
 
1.2%
→ 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
83.4%
ASCII 85
 
16.4%
Arrows 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
82.4%
. 3
 
3.5%
( 2
 
2.4%
) 2
 
2.4%
2 2
 
2.4%
0 2
 
2.4%
1 2
 
2.4%
5 1
 
1.2%
, 1
 
1.2%
Hangul
ValueCountFrequency (%)
업 54
 
12.5%
사 31
 
7.2%
진 21
 
4.9%
이 21
 
4.9%
전 20
 
4.6%
부 19
 
4.4%
폐 15
 
3.5%
지 13
 
3.0%
소 13
 
3.0%
로 12
 
2.8%
Other values (80) 213
49.3%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
저수조청소업
124 
<NA>
26 

Length

Max length6
Median length6
Mean length5.6533333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 124
82.7%
<NA> 26
 
17.3%

Length

2024-04-30T04:57:16.620252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:16.709665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 124
82.7%
na 26
 
17.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0318000031800003119950000119950204<NA>1영업/정상11정상<NA><NA><NA><NA>2632-2134<NA><NA>서울특별시 영등포구 당산동1가 353<NA><NA>일신설비2015-01-05 21:08:30I2018-08-31 23:59:59.0<NA>190891.153435446787.87448431<NA><NA><NA><NA><NA><NA>저수조청소업
1318000031800003119950000220220406<NA>1영업/정상11정상<NA><NA><NA><NA>849-6290<NA><NA>서울특별시 영등포구 신길동 166-4서울특별시 영등포구 도신로 223-6 (신길동)<NA>홍선산업(주)2022-04-05 10:43:23U2021-12-04 00:07:00.0<NA>192471.417363445548.5411<NA><NA><NA><NA><NA><NA><NA><NA>
231800003180000311995000032015-04-29<NA>3폐업2폐업2023-02-28<NA><NA><NA>822-3111<NA><NA>서울특별시 영등포구 대림동 ***-**서울특별시 영등포구 시흥대로***길 * (대림동)<NA>상신기계공영(주)2023-03-07 17:14:02U2022-12-03 00:09:00.0<NA>191567.104043442910.349647<NA><NA><NA><NA><NA><NA><NA><NA>
3318000031800003119950000419950324<NA>1영업/정상11정상<NA><NA><NA><NA>761-0633<NA><NA>서울특별시 영등포구 여의도동 14-32<NA><NA>보흥실업(주)2015-01-05 21:08:30I2018-08-31 23:59:59.0<NA>192894.437488447360.83525531<NA><NA><NA><NA><NA><NA>저수조청소업
4318000031800003119950000519950328<NA>1영업/정상11정상<NA><NA><NA><NA>2672-5670<NA><NA>서울특별시 영등포구 영등포동2가 94-23<NA><NA>현풍개발(주)2015-01-05 21:08:30I2018-08-31 23:59:59.0<NA>192027.620989446764.15256531<NA><NA><NA><NA><NA><NA>저수조청소업
5318000031800003119950000619950410<NA>1영업/정상11정상<NA><NA><NA><NA>2635-4215<NA><NA>서울특별시 영등포구 양평동5가 56-1<NA><NA>삼삼엔지니어링(주)2015-01-05 21:08:30I2018-08-31 23:59:59.0<NA><NA><NA>31<NA><NA><NA><NA><NA><NA>저수조청소업
6318000031800003119950000720061207<NA>1영업/정상11정상<NA><NA><NA><NA>2675-5644<NA><NA>서울특별시 영등포구 양평동3가 46 512호<NA><NA>대현산업기술(주)2015-01-05 21:08:30I2018-08-31 23:59:59.0<NA>190364.652011447158.94626231<NA><NA><NA><NA><NA><NA>저수조청소업
7318000031800003119950000819950417<NA>3폐업2폐업20150605<NA><NA><NA>836-5418<NA><NA>서울특별시 영등포구 대림동 739-10<NA><NA>(주)현덕프랜트2015-06-05 14:40:56I2018-08-31 23:59:59.0<NA>190925.025195443930.47003931<NA><NA><NA><NA><NA><NA>저수조청소업
8318000031800003119950000919950501<NA>1영업/정상11정상<NA><NA><NA><NA>783-1360<NA><NA>서울특별시 영등포구 여의도동 36-2 맨하탄빌딩 1005호서울특별시 영등포구 국제금융로6길 33, 1005호 (여의도동)<NA>아세아환경(주)2017-04-19 17:37:48I2018-08-31 23:59:59.0<NA>193469.554732446508.06866831<NA><NA><NA><NA><NA><NA>저수조청소업
9318000031800003119950001020130717<NA>3폐업2폐업20130717<NA><NA><NA>2633-8866<NA><NA>서울특별시 영등포구 양평동3가 2-1 (6층)<NA><NA>성도프랜트(주)2015-01-05 21:08:30I2018-08-31 23:59:59.0<NA>190378.785487446997.96507631<NA><NA><NA><NA><NA>회사사정저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
140318000031800003120200000120200205<NA>1영업/정상11정상<NA><NA><NA><NA>02-835-1724<NA><NA>서울특별시 영등포구 문래동6가 19 문래 sk v1센터 709호서울특별시 영등포구 선유로9길 10, 문래sk v1센터 709호 (문래동6가)7281용은건설(주)2020-02-07 13:24:25I2020-02-09 00:23:23.0<NA>189959.044021446192.88431331<NA><NA><NA><NA><NA><NA>저수조청소업
141318000031800003120200000220200205<NA>1영업/정상11정상<NA><NA><NA><NA>028351724<NA><NA>서울특별시 영등포구 문래동6가 19 문래sk v1센터 709호서울특별시 영등포구 선유로9길 10, 문래sk v1센터 709호 (문래동6가)7281(주)풍유이앤씨2020-02-07 13:24:25I2020-02-09 00:23:23.0<NA>189959.044021446192.88431331<NA><NA><NA><NA><NA><NA>저수조청소업
14231800003180000312020000032020-03-04<NA>3폐업2폐업2024-02-28<NA><NA><NA>02-844-8820<NA><NA>서울특별시 영등포구 대림동 ***-* 현대아파트서울특별시 영등포구 도신로*길 **, 현대아파트상가동 ***호 (대림동)7377(주)우주씨앤씨2024-02-28 17:39:51U2023-12-03 00:01:00.0<NA>190636.814463444441.918324<NA><NA><NA><NA><NA><NA><NA><NA>
143318000031800003120200000420201005<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도림동 253-1 기성빌 2차서울특별시 영등포구 도림로112길 16, 202호 (도림동, 기성빌 2차)7370미래도시환경2020-10-06 09:00:38I2020-10-08 00:23:10.0<NA>191234.433212445196.57201931<NA><NA><NA><NA><NA><NA>저수조청소업
144318000031800003120210000120110311<NA>3폐업2폐업20210122<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동2가 36-37서울특별시 영등포구 선유서로25길 18-1 (양평동2가)7274(주)친환경2021-01-26 14:43:39I2021-01-28 00:23:13.0<NA>189662.247718446948.19265131<NA><NA><NA><NA><NA>소재지 이전으로 인한 폐업저수조청소업
145318000031800003120210000220210405<NA>1영업/정상11정상<NA><NA><NA><NA>02-833-7333<NA><NA>서울특별시 영등포구 대림동 683-21서울특별시 영등포구 대림로34사길 16, 지층 (대림동)7401수환경2021-04-13 17:50:21I2021-04-15 00:22:57.0<NA>191053.169852444282.12204831<NA><NA><NA><NA><NA><NA>저수조청소업
146318000031800003120210000320211125<NA>1영업/정상11정상<NA><NA><NA><NA>070-4009-7188<NA><NA>서울특별시 영등포구 영등포동5가 114서울특별시 영등포구 영중로22길 6, 301호 (영등포동5가)7250(주)용문2021-11-26 17:29:15I2021-11-28 00:22:43.0<NA>191634.434595446595.21305931<NA>0<NA><NA><NA><NA>저수조청소업
147318000031800003120220000120220106<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동5가 114서울특별시 영등포구 영중로22길 6, 230호 (영등포동5가)7250(주)한국문화예술원2022-02-10 20:25:35U2022-02-12 02:40:00.0<NA>191634.434595446595.21305931<NA>0<NA><NA><NA><NA>저수조청소업
148318000031800003120220000220220125<NA>1영업/정상11정상<NA><NA><NA><NA>02-3412-4811<NA><NA>서울특별시 영등포구 대림동 692-2 대림하우스서울특별시 영등포구 대림로 186, 대림하우스 402호 (대림동)7410두악(주)2022-02-10 20:25:21U2022-02-12 02:40:00.0<NA>191008.421514443923.87211831<NA>0<NA><NA><NA><NA>저수조청소업
14931800003180000312023000012014-06-03<NA>1영업/정상11정상<NA><NA><NA><NA>0269567350<NA><NA>서울특별시 영등포구 양평동*가 **-** 동애빌딩서울특별시 영등포구 영등포로*길 **, 동애빌딩 *층 ***호 (양평동*가)7274드림인건설(주)2023-11-30 10:49:10U2022-11-02 00:02:00.0<NA>189723.75029446941.357603<NA><NA><NA><NA><NA><NA><NA><NA>