Overview

Dataset statistics

Number of variables33
Number of observations50
Missing cells643
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.0 KiB
Average record size in memory286.6 B

Variable types

Categorical9
Numeric4
DateTime4
Unsupported11
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-19481/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (67.3%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 29 (58.0%) 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 4 (8.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
소재지우편번호 has 50 (100.0%) missing valuesMissing
도로명주소 has 1 (2.0%) missing valuesMissing
도로명우편번호 has 33 (66.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
건축물명 has 50 (100.0%) missing valuesMissing
건축물상태명 has 50 (100.0%) missing valuesMissing
청소대상시작일자 has 50 (100.0%) missing valuesMissing
청소대상종료일자 has 50 (100.0%) missing valuesMissing
휴업폐지사유 has 26 (52.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2024-04-06 12:37:55.296725
Analysis finished2024-04-06 12:37:56.288679
Duration0.99 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
3040000
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 50
100.0%

Length

2024-04-06T21:37:56.478767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:56.713195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 50
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0400003 × 1017
Minimum3.0400003 × 1017
Maximum3.0400003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:37:57.001902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0400003 × 1017
5-th percentile3.0400003 × 1017
Q13.0400003 × 1017
median3.0400003 × 1017
Q33.0400003 × 1017
95-th percentile3.0400003 × 1017
Maximum3.0400003 × 1017
Range2300000
Interquartile range (IQR)1100032

Descriptive statistics

Standard deviation674438.43
Coefficient of variation (CV)2.2185472 × 10-12
Kurtosis-1.0172868
Mean3.0400003 × 1017
Median Absolute Deviation (MAD)300032
Skewness0.5852499
Sum-3.2467425 × 1018
Variance4.548672 × 1011
MonotonicityStrictly increasing
2024-04-06T21:37:57.448505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304000031200100001 1
 
2.0%
304000031201500004 1
 
2.0%
304000031201000003 1
 
2.0%
304000031201100001 1
 
2.0%
304000031201100002 1
 
2.0%
304000031201300001 1
 
2.0%
304000031201400001 1
 
2.0%
304000031201400002 1
 
2.0%
304000031201400003 1
 
2.0%
304000031201500001 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
304000031200100001 1
2.0%
304000031200200001 1
2.0%
304000031200300001 1
2.0%
304000031200400001 1
2.0%
304000031200400002 1
2.0%
304000031200400003 1
2.0%
304000031200400004 1
2.0%
304000031200400005 1
2.0%
304000031200400006 1
2.0%
304000031200400008 1
2.0%
ValueCountFrequency (%)
304000031202400001 1
2.0%
304000031202300002 1
2.0%
304000031202300001 1
2.0%
304000031202200001 1
2.0%
304000031202100001 1
2.0%
304000031201900003 1
2.0%
304000031201900002 1
2.0%
304000031201800003 1
2.0%
304000031201800002 1
2.0%
304000031201800001 1
2.0%

인허가일자
Date

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2004-06-25 00:00:00
Maximum2024-03-19 00:00:00
2024-04-06T21:37:57.822723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:37:58.132010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3
29 
1
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 29
58.0%
1 21
42.0%

Length

2024-04-06T21:37:58.435967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:58.641278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 29
58.0%
1 21
42.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
29 
영업/정상
21 

Length

Max length5
Median length2
Mean length3.26
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
58.0%
영업/정상 21
42.0%

Length

2024-04-06T21:37:58.877303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:59.069615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
58.0%
영업/정상 21
42.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2
29 
11
21 

Length

Max length2
Median length1
Mean length1.42
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 29
58.0%
11 21
42.0%

Length

2024-04-06T21:37:59.677689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:59.877348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 29
58.0%
11 21
42.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
29 
정상
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
58.0%
정상 21
42.0%

Length

2024-04-06T21:38:00.106641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:38:00.387812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
58.0%
정상 21
42.0%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)95.2%
Missing29
Missing (%)58.0%
Memory size532.0 B
Minimum2008-10-28 00:00:00
Maximum2023-12-14 00:00:00
2024-04-06T21:38:00.582258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:38:00.811407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

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 (%)97.8%
Missing4
Missing (%)8.0%
Memory size532.0 B
2024-04-06T21:38:01.212901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.369565
Min length8

Characters and Unicode

Total characters477
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

Unique44 ?
Unique (%)95.7%

Sample

1st row02-319-6044
2nd row02-461-2201
3rd row02-454-9198
4th row02-444-9011
5th row02-497-0196
ValueCountFrequency (%)
02-2677-2994 2
 
4.3%
02-3409-1851 1
 
2.2%
02-319-6044 1
 
2.2%
07047551555 1
 
2.2%
02-3424-5831 1
 
2.2%
443-3577 1
 
2.2%
927-2527~9 1
 
2.2%
02-999-2531 1
 
2.2%
3437-7969 1
 
2.2%
02-461-7077 1
 
2.2%
Other values (35) 35
76.1%
2024-04-06T21:38:01.996537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 73
15.3%
0 62
13.0%
4 59
12.4%
2 54
11.3%
9 48
10.1%
6 42
8.8%
7 39
8.2%
5 31
6.5%
3 30
6.3%
1 27
 
5.7%
Other values (2) 12
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 403
84.5%
Dash Punctuation 73
 
15.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
15.4%
4 59
14.6%
2 54
13.4%
9 48
11.9%
6 42
10.4%
7 39
9.7%
5 31
7.7%
3 30
7.4%
1 27
6.7%
8 11
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 477
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 73
15.3%
0 62
13.0%
4 59
12.4%
2 54
11.3%
9 48
10.1%
6 42
8.8%
7 39
8.2%
5 31
6.5%
3 30
6.3%
1 27
 
5.7%
Other values (2) 12
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 477
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 73
15.3%
0 62
13.0%
4 59
12.4%
2 54
11.3%
9 48
10.1%
6 42
8.8%
7 39
8.2%
5 31
6.5%
3 30
6.3%
1 27
 
5.7%
Other values (2) 12
 
2.5%

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

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:38:02.418451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length22.78
Min length17

Characters and Unicode

Total characters1139
Distinct characters69
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

Unique42 ?
Unique (%)84.0%

Sample

1st row서울특별시 광진구 중곡동 579-1
2nd row서울특별시 광진구 구의동 246-14 크레신타워3차
3rd row서울특별시 광진구 구의동 **-* 썬타워빌딩 ***호
4th row서울특별시 광진구 자양동 *** 한양상가 지층***호
5th row서울특별시 광진구 군자동 116-1
ValueCountFrequency (%)
서울특별시 50
21.9%
광진구 50
21.9%
21
9.2%
자양동 17
 
7.5%
중곡동 16
 
7.0%
구의동 10
 
4.4%
호 5
 
2.2%
광장동 4
 
1.8%
221-1 2
 
0.9%
199-1 2
 
0.9%
Other values (49) 51
22.4%
2024-04-06T21:38:03.075012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
17.7%
* 114
 
10.0%
구 60
 
5.3%
광 55
 
4.8%
진 52
 
4.6%
서 50
 
4.4%
동 50
 
4.4%
특 50
 
4.4%
별 50
 
4.4%
시 50
 
4.4%
Other values (59) 406
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
56.1%
Space Separator 202
 
17.7%
Decimal Number 136
 
11.9%
Other Punctuation 115
 
10.1%
Dash Punctuation 45
 
4.0%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
 
9.4%
광 55
 
8.6%
진 52
 
8.1%
서 50
 
7.8%
동 50
 
7.8%
특 50
 
7.8%
별 50
 
7.8%
시 50
 
7.8%
울 50
 
7.8%
양 20
 
3.1%
Other values (44) 152
23.8%
Decimal Number
ValueCountFrequency (%)
1 37
27.2%
2 23
16.9%
9 14
 
10.3%
3 13
 
9.6%
4 12
 
8.8%
6 11
 
8.1%
0 8
 
5.9%
7 6
 
4.4%
5 6
 
4.4%
8 6
 
4.4%
Other Punctuation
ValueCountFrequency (%)
* 114
99.1%
, 1
 
0.9%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
56.1%
Common 498
43.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
 
9.4%
광 55
 
8.6%
진 52
 
8.1%
서 50
 
7.8%
동 50
 
7.8%
특 50
 
7.8%
별 50
 
7.8%
시 50
 
7.8%
울 50
 
7.8%
양 20
 
3.1%
Other values (44) 152
23.8%
Common
ValueCountFrequency (%)
202
40.6%
* 114
22.9%
- 45
 
9.0%
1 37
 
7.4%
2 23
 
4.6%
9 14
 
2.8%
3 13
 
2.6%
4 12
 
2.4%
6 11
 
2.2%
0 8
 
1.6%
Other values (4) 19
 
3.8%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
56.1%
ASCII 500
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
40.4%
* 114
22.8%
- 45
 
9.0%
1 37
 
7.4%
2 23
 
4.6%
9 14
 
2.8%
3 13
 
2.6%
4 12
 
2.4%
6 11
 
2.2%
0 8
 
1.6%
Other values (5) 21
 
4.2%
Hangul
ValueCountFrequency (%)
구 60
 
9.4%
광 55
 
8.6%
진 52
 
8.1%
서 50
 
7.8%
동 50
 
7.8%
특 50
 
7.8%
별 50
 
7.8%
시 50
 
7.8%
울 50
 
7.8%
양 20
 
3.1%
Other values (44) 152
23.8%

도로명주소
Text

MISSING 

Distinct47
Distinct (%)95.9%
Missing1
Missing (%)2.0%
Memory size532.0 B
2024-04-06T21:38:03.520742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length30.346939
Min length23

Characters and Unicode

Total characters1487
Distinct characters92
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

Unique45 ?
Unique (%)91.8%

Sample

1st row서울특별시 광진구 면목로17길 40 (중곡동)
2nd row서울특별시 광진구 아차산로 375, 11층 1116호 (구의동, 크레신타워3차)
3rd row서울특별시 광진구 천호대로 *** (구의동,썬타워빌딩 ***호)
4th row서울특별시 광진구 구의강변로 ** (자양동,한양상가 지층***호)
5th row서울특별시 광진구 동일로52길 28 (군자동)
ValueCountFrequency (%)
서울특별시 49
16.7%
광진구 49
16.7%
22
 
7.5%
중곡동 16
 
5.5%
자양동 15
 
5.1%
호 8
 
2.7%
구의동 7
 
2.4%
층 6
 
2.0%
아차산로**길 5
 
1.7%
면목로 4
 
1.4%
Other values (80) 112
38.2%
2024-04-06T21:38:04.131624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
17.1%
* 115
 
7.7%
동 63
 
4.2%
광 59
 
4.0%
구 59
 
4.0%
진 51
 
3.4%
로 50
 
3.4%
( 49
 
3.3%
울 49
 
3.3%
서 49
 
3.3%
Other values (82) 689
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 859
57.8%
Space Separator 254
 
17.1%
Other Punctuation 149
 
10.0%
Decimal Number 118
 
7.9%
Open Punctuation 49
 
3.3%
Close Punctuation 49
 
3.3%
Dash Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
 
7.3%
광 59
 
6.9%
구 59
 
6.9%
진 51
 
5.9%
로 50
 
5.8%
울 49
 
5.7%
서 49
 
5.7%
시 49
 
5.7%
별 49
 
5.7%
특 49
 
5.7%
Other values (65) 332
38.6%
Decimal Number
ValueCountFrequency (%)
4 25
21.2%
1 17
14.4%
3 14
11.9%
2 11
9.3%
0 10
 
8.5%
6 9
 
7.6%
7 9
 
7.6%
8 9
 
7.6%
5 7
 
5.9%
9 7
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 115
77.2%
, 34
 
22.8%
Space Separator
ValueCountFrequency (%)
254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 859
57.8%
Common 624
42.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
 
7.3%
광 59
 
6.9%
구 59
 
6.9%
진 51
 
5.9%
로 50
 
5.8%
울 49
 
5.7%
서 49
 
5.7%
시 49
 
5.7%
별 49
 
5.7%
특 49
 
5.7%
Other values (65) 332
38.6%
Common
ValueCountFrequency (%)
254
40.7%
* 115
18.4%
( 49
 
7.9%
) 49
 
7.9%
, 34
 
5.4%
4 25
 
4.0%
1 17
 
2.7%
3 14
 
2.2%
2 11
 
1.8%
0 10
 
1.6%
Other values (6) 46
 
7.4%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 859
57.8%
ASCII 628
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
40.4%
* 115
18.3%
( 49
 
7.8%
) 49
 
7.8%
, 34
 
5.4%
4 25
 
4.0%
1 17
 
2.7%
3 14
 
2.2%
2 11
 
1.8%
0 10
 
1.6%
Other values (7) 50
 
8.0%
Hangul
ValueCountFrequency (%)
동 63
 
7.3%
광 59
 
6.9%
구 59
 
6.9%
진 51
 
5.9%
로 50
 
5.8%
울 49
 
5.7%
서 49
 
5.7%
시 49
 
5.7%
별 49
 
5.7%
특 49
 
5.7%
Other values (65) 332
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)82.4%
Missing33
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean5018.2941
Minimum4903
Maximum5116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:38:04.338551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4903
5-th percentile4903
Q14969
median5046
Q35059
95-th percentile5105.6
Maximum5116
Range213
Interquartile range (IQR)90

Descriptive statistics

Standard deviation71.374685
Coefficient of variation (CV)0.014222898
Kurtosis-1.1516468
Mean5018.2941
Median Absolute Deviation (MAD)57
Skewness-0.32613061
Sum85311
Variance5094.3456
MonotonicityNot monotonic
2024-04-06T21:38:04.510486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5046 3
 
6.0%
4903 2
 
4.0%
5103 1
 
2.0%
5116 1
 
2.0%
5102 1
 
2.0%
4928 1
 
2.0%
4937 1
 
2.0%
4969 1
 
2.0%
4989 1
 
2.0%
5054 1
 
2.0%
Other values (4) 4
 
8.0%
(Missing) 33
66.0%
ValueCountFrequency (%)
4903 2
4.0%
4928 1
 
2.0%
4937 1
 
2.0%
4969 1
 
2.0%
4984 1
 
2.0%
4989 1
 
2.0%
5026 1
 
2.0%
5046 3
6.0%
5054 1
 
2.0%
5059 1
 
2.0%
ValueCountFrequency (%)
5116 1
 
2.0%
5103 1
 
2.0%
5102 1
 
2.0%
5100 1
 
2.0%
5059 1
 
2.0%
5054 1
 
2.0%
5046 3
6.0%
5026 1
 
2.0%
4989 1
 
2.0%
4984 1
 
2.0%

사업장명
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:38:04.953273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.42
Min length3

Characters and Unicode

Total characters371
Distinct characters105
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

Unique46 ?
Unique (%)92.0%

Sample

1st row동서환경
2nd row럭키시스템(주)
3rd row삼정화학엔지니어링
4th row(주)대도환경이엔지
5th row한국정화-주
ValueCountFrequency (%)
다원환경건설(주 2
 
3.6%
주식회사 2
 
3.6%
시원방역 2
 
3.6%
주)인스케어코어 1
 
1.8%
주)엔비로 1
 
1.8%
태명종합건설 1
 
1.8%
동현종합건설(주 1
 
1.8%
동서환경 1
 
1.8%
럭키시스템(주 1
 
1.8%
주)이모드환경산업 1
 
1.8%
Other values (42) 42
76.4%
2024-04-06T21:38:05.649241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
9.7%
) 27
 
7.3%
( 27
 
7.3%
경 11
 
3.0%
환 10
 
2.7%
스 9
 
2.4%
건 8
 
2.2%
원 8
 
2.2%
지 7
 
1.9%
어 7
 
1.9%
Other values (95) 221
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
82.7%
Close Punctuation 27
 
7.3%
Open Punctuation 27
 
7.3%
Dash Punctuation 5
 
1.3%
Space Separator 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
11.7%
경 11
 
3.6%
환 10
 
3.3%
스 9
 
2.9%
건 8
 
2.6%
원 8
 
2.6%
지 7
 
2.3%
어 7
 
2.3%
엔 7
 
2.3%
이 7
 
2.3%
Other values (91) 197
64.2%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
82.7%
Common 64
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
11.7%
경 11
 
3.6%
환 10
 
3.3%
스 9
 
2.9%
건 8
 
2.6%
원 8
 
2.6%
지 7
 
2.3%
어 7
 
2.3%
엔 7
 
2.3%
이 7
 
2.3%
Other values (91) 197
64.2%
Common
ValueCountFrequency (%)
) 27
42.2%
( 27
42.2%
- 5
 
7.8%
5
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
82.7%
ASCII 64
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
11.7%
경 11
 
3.6%
환 10
 
3.3%
스 9
 
2.9%
건 8
 
2.6%
원 8
 
2.6%
지 7
 
2.3%
어 7
 
2.3%
엔 7
 
2.3%
이 7
 
2.3%
Other values (91) 197
64.2%
ASCII
ValueCountFrequency (%)
) 27
42.2%
( 27
42.2%
- 5
 
7.8%
5
 
7.8%

최종수정일자
Date

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2015-01-05 21:06:47
Maximum2024-04-02 16:13:22
2024-04-06T21:38:05.891843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:38:06.185709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
U
34 
I
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 34
68.0%
I 16
32.0%

Length

2024-04-06T21:38:06.415132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:38:06.610582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 34
68.0%
i 16
32.0%

데이터갱신일자
Date

Distinct25
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-06T21:38:06.772202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:38:07.007800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207332
Minimum205300.21
Maximum209637.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:38:07.308419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205300.21
5-th percentile206163.61
Q1207013.34
median207297.12
Q3207789.09
95-th percentile208324.28
Maximum209637.08
Range4336.8646
Interquartile range (IQR)775.75162

Descriptive statistics

Standard deviation779.25115
Coefficient of variation (CV)0.0037584703
Kurtosis2.4067285
Mean207332
Median Absolute Deviation (MAD)353.06886
Skewness0.48936382
Sum10366600
Variance607232.36
MonotonicityNot monotonic
2024-04-06T21:38:07.696500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
208020.871131573 3
 
6.0%
207302.075496997 2
 
4.0%
207082.107424701 2
 
4.0%
207297.117969016 2
 
4.0%
208238.557198447 2
 
4.0%
209637.078215509 2
 
4.0%
207262.180357667 2
 
4.0%
206423.200638794 1
 
2.0%
208394.416382167 1
 
2.0%
207396.524692353 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
205300.213662253 1
2.0%
205739.363848673 1
2.0%
206007.800551776 1
2.0%
206354.042681687 1
2.0%
206423.200638794 1
2.0%
206501.276607571 1
2.0%
206626.482789182 1
2.0%
206697.084180658 1
2.0%
206807.265883758 1
2.0%
206851.974145395 1
2.0%
ValueCountFrequency (%)
209637.078215509 2
4.0%
208394.416382167 1
 
2.0%
208238.557198447 2
4.0%
208020.871131573 3
6.0%
207973.806781794 1
 
2.0%
207884.573154447 1
 
2.0%
207848.365562562 1
 
2.0%
207842.314393461 1
 
2.0%
207835.136726075 1
 
2.0%
207650.943185184 1
 
2.0%

좌표정보(Y)
Real number (ℝ)

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449421.18
Minimum447498.51
Maximum452070.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:38:07.916432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447498.51
5-th percentile447653.2
Q1448073.47
median449058.89
Q3450831.26
95-th percentile451948.81
Maximum452070.12
Range4571.6064
Interquartile range (IQR)2757.787

Descriptive statistics

Standard deviation1546.9107
Coefficient of variation (CV)0.0034420067
Kurtosis-1.3803061
Mean449421.18
Median Absolute Deviation (MAD)1326.3541
Skewness0.37164564
Sum22471059
Variance2392932.8
MonotonicityNot monotonic
2024-04-06T21:38:08.160968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
448578.828510777 3
 
6.0%
451991.900378929 2
 
4.0%
448299.458969299 2
 
4.0%
447732.534503518 2
 
4.0%
449058.888574873 2
 
4.0%
449832.485937903 2
 
4.0%
451204.059135038 2
 
4.0%
450389.007694238 1
 
2.0%
448165.279999905 1
 
2.0%
447564.115309104 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
447498.512061584 1
2.0%
447564.115309104 1
2.0%
447625.826406822 1
2.0%
447686.659962121 1
2.0%
447691.293841398 1
2.0%
447692.555249939 1
2.0%
447708.816928025 1
2.0%
447717.232996129 1
2.0%
447732.534503518 2
4.0%
447816.092415043 1
2.0%
ValueCountFrequency (%)
452070.118445356 1
2.0%
451991.900378929 2
4.0%
451896.150415671 1
2.0%
451825.8877874 1
2.0%
451821.734660326 1
2.0%
451588.116315616 1
2.0%
451301.840979995 1
2.0%
451204.059135038 2
4.0%
451203.320811948 1
2.0%
450972.212712997 1
2.0%

업무구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
31
26 
<NA>
24 

Length

Max length4
Median length2
Mean length2.96
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 26
52.0%
<NA> 24
48.0%

Length

2024-04-06T21:38:08.431314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:38:08.620955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 26
52.0%
na 24
48.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
0
 
3

Length

Max length4
Median length4
Mean length3.82
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> 47
94.0%
0 3
 
6.0%

Length

2024-04-06T21:38:08.819901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:38:09.024095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
0 3
 
6.0%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업폐지사유
Text

MISSING 

Distinct21
Distinct (%)87.5%
Missing26
Missing (%)52.0%
Memory size532.0 B
2024-04-06T21:38:09.364660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length18.5
Mean length14.833333
Min length4

Characters and Unicode

Total characters356
Distinct characters77
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row폐지신고(사업장 이전->관악구)
2nd row영업실적 부진으로 폐업
3rd row사업장 이전(->금천구)
4th row사업장폐지
5th row사업장 이전문제로 폐업함
ValueCountFrequency (%)
사업장 7
 
9.1%
이전 6
 
7.8%
소재지 5
 
6.5%
폐업 5
 
6.5%
인한 4
 
5.2%
영업부진 2
 
2.6%
영업실적 2
 
2.6%
따른 2
 
2.6%
이전에 2
 
2.6%
2
 
2.6%
Other values (36) 40
51.9%
2024-04-06T21:38:10.000157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
14.9%
업 28
 
7.9%
이 16
 
4.5%
전 15
 
4.2%
사 14
 
3.9%
구 10
 
2.8%
폐 10
 
2.8%
장 10
 
2.8%
로 10
 
2.8%
( 9
 
2.5%
Other values (67) 181
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
69.9%
Space Separator 53
 
14.9%
Decimal Number 20
 
5.6%
Open Punctuation 9
 
2.5%
Close Punctuation 9
 
2.5%
Other Punctuation 7
 
2.0%
Math Symbol 5
 
1.4%
Dash Punctuation 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 28
 
11.2%
이 16
 
6.4%
전 15
 
6.0%
사 14
 
5.6%
구 10
 
4.0%
폐 10
 
4.0%
장 10
 
4.0%
로 10
 
4.0%
지 9
 
3.6%
소 9
 
3.6%
Other values (51) 118
47.4%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
2 5
25.0%
9 2
 
10.0%
0 2
 
10.0%
3 2
 
10.0%
8 1
 
5.0%
6 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
: 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
> 3
60.0%
→ 2
40.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
69.9%
Common 107
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 28
 
11.2%
이 16
 
6.4%
전 15
 
6.0%
사 14
 
5.6%
구 10
 
4.0%
폐 10
 
4.0%
장 10
 
4.0%
로 10
 
4.0%
지 9
 
3.6%
소 9
 
3.6%
Other values (51) 118
47.4%
Common
ValueCountFrequency (%)
53
49.5%
( 9
 
8.4%
) 9
 
8.4%
1 7
 
6.5%
2 5
 
4.7%
. 4
 
3.7%
- 4
 
3.7%
> 3
 
2.8%
9 2
 
1.9%
, 2
 
1.9%
Other values (6) 9
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
69.9%
ASCII 105
29.5%
Arrows 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
50.5%
( 9
 
8.6%
) 9
 
8.6%
1 7
 
6.7%
2 5
 
4.8%
. 4
 
3.8%
- 4
 
3.8%
> 3
 
2.9%
9 2
 
1.9%
, 2
 
1.9%
Other values (5) 7
 
6.7%
Hangul
ValueCountFrequency (%)
업 28
 
11.2%
이 16
 
6.4%
전 15
 
6.0%
사 14
 
5.6%
구 10
 
4.0%
폐 10
 
4.0%
장 10
 
4.0%
로 10
 
4.0%
지 9
 
3.6%
소 9
 
3.6%
Other values (51) 118
47.4%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
저수조청소업
26 
<NA>
24 

Length

Max length6
Median length6
Mean length5.04
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 26
52.0%
<NA> 24
48.0%

Length

2024-04-06T21:38:10.252268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:38:10.452008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 26
52.0%
na 24
48.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0304000030400003120010000120050531<NA>3폐업2폐업<NA><NA><NA><NA>02-319-6044<NA><NA>서울특별시 광진구 중곡동 579-1서울특별시 광진구 면목로17길 40 (중곡동)<NA>동서환경2015-01-05 21:06:47I2018-08-31 23:59:59.0<NA>207092.481119452070.11844531<NA><NA><NA><NA><NA>폐지신고(사업장 이전->관악구)저수조청소업
1304000030400003120020000120140407<NA>3폐업2폐업20181001<NA><NA><NA>02-461-2201<NA><NA>서울특별시 광진구 구의동 246-14 크레신타워3차서울특별시 광진구 아차산로 375, 11층 1116호 (구의동, 크레신타워3차)<NA>럭키시스템(주)2018-10-05 17:50:52U2018-11-03 04:00:00.0<NA>207388.308849448313.51746531<NA><NA><NA><NA><NA>영업실적 부진으로 폐업저수조청소업
230400003040000312003000012009-07-31<NA>1영업/정상11정상<NA><NA><NA><NA>02-454-9198<NA><NA>서울특별시 광진구 구의동 **-* 썬타워빌딩 ***호서울특별시 광진구 천호대로 *** (구의동,썬타워빌딩 ***호)<NA>삼정화학엔지니어링2023-04-26 17:22:24U2022-12-03 22:08:00.0<NA>207842.314393449868.243723<NA><NA><NA><NA><NA><NA><NA><NA>
330400003040000312004000012007-11-30<NA>1영업/정상11정상<NA><NA><NA><NA>02-444-9011<NA><NA>서울특별시 광진구 자양동 *** 한양상가 지층***호서울특별시 광진구 구의강변로 ** (자양동,한양상가 지층***호)<NA>(주)대도환경이엔지2023-12-27 18:29:50U2022-11-01 22:09:00.0<NA>207973.806782447692.55525<NA><NA><NA><NA><NA><NA><NA><NA>
4304000030400003120040000220051124<NA>3폐업2폐업<NA><NA><NA><NA>02-497-0196<NA><NA>서울특별시 광진구 군자동 116-1서울특별시 광진구 동일로52길 28 (군자동)<NA>한국정화-주2015-01-05 21:06:47I2018-08-31 23:59:59.0<NA>206354.042682450216.30774331<NA><NA><NA><NA><NA>사업장 이전(->금천구)저수조청소업
530400003040000312004000032008-01-04<NA>1영업/정상11정상<NA><NA><NA><NA>02-3437-6595<NA><NA>서울특별시 광진구 구의동 ***-*서울특별시 광진구 자양로**길 **, ***호 (구의동)<NA>(주)한국환경정화2023-02-01 17:47:06U2022-12-02 00:03:00.0<NA>207578.831499448602.924445<NA><NA><NA><NA><NA><NA><NA><NA>
6304000030400003120040000420040625<NA>3폐업2폐업<NA><NA><NA><NA>02-3409-4746<NA><NA>서울특별시 광진구 자양동 203-12서울특별시 광진구 동일로 30 (자양동)<NA>주-성우파라다이스2015-01-05 21:06:47I2018-08-31 23:59:59.0<NA>205300.213662448166.6745431<NA><NA><NA><NA><NA>사업장폐지저수조청소업
730400003040000312004000052008-01-08<NA>1영업/정상11정상<NA><NA><NA><NA>02-2201-9996<NA><NA>서울특별시 광진구 자양동 ***-**서울특별시 광진구 자양번영로*길 ** (자양동)<NA>(주)한국재광2023-02-01 17:50:34U2022-12-02 00:03:00.0<NA>206501.276608447717.232996<NA><NA><NA><NA><NA><NA><NA><NA>
8304000030400003120040000620090413<NA>3폐업2폐업20170106<NA><NA><NA>02-456-7497<NA><NA>서울특별시 광진구 자양동 620-27서울특별시 광진구 뚝섬로49길 31 (자양동)<NA>깔끄미2017-01-06 14:22:34I2018-08-31 23:59:59.0<NA>206944.80546447939.58687631<NA><NA><NA><NA><NA>사업장 이전문제로 폐업함저수조청소업
930400003040000312004000082011-11-25<NA>1영업/정상11정상<NA><NA><NA><NA>02-3436-3460<NA><NA>서울특별시 광진구 자양동 ***-* 연수빌딩서울특별시 광진구 자양로*길 **-*, 연수빌딩 *층 ***호 (자양동)5103성지토탈서비스 주식회사2023-02-02 10:18:40U2022-12-02 00:04:00.0<NA>207439.343011447691.293841<NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
4030400003040000312018000012018-02-08<NA>1영업/정상11정상<NA><NA><NA><NA>455-9642<NA><NA>서울특별시 광진구 중곡동 ***-**서울특별시 광진구 능동로**길 **, *층 (중곡동)4903동창건설(주)2024-04-02 16:13:22U2023-12-04 00:04:00.0<NA>207293.298573451821.73466<NA><NA><NA><NA><NA><NA><NA><NA>
41304000030400003120180000220180831<NA>3폐업2폐업20181129<NA><NA><NA>456-9663<NA><NA>서울특별시 광진구 중곡동 150-173서울특별시 광진구 긴고랑로 83, 2층 (중곡동)4937(주)다옴엔지니어링2018-11-29 17:55:34U2018-12-01 02:40:00.0<NA>207448.302663450972.21271331<NA><NA><NA><NA><NA>사업장 이전저수조청소업
42304000030400003120180000320180831<NA>1영업/정상11정상<NA><NA><NA><NA>454-1476<NA><NA>서울특별시 광진구 중곡동 198-39서울특별시 광진구 능동로59길 40 (중곡동)4903아폴로건설(주)2022-01-14 09:23:12U2022-01-16 02:40:00.0<NA>207304.432557451825.88778731<NA>0<NA><NA><NA><NA>저수조청소업
43304000030400003120190000220190114<NA>1영업/정상11정상<NA><NA><NA><NA>02-473-7090<NA><NA>서울특별시 광진구 광장동 114 크레스코빌딩 309호서울특별시 광진구 아차산로78길 44, 크레스코빌딩 309호 (광장동)4969(주)엔비로2019-09-20 14:32:25U2019-09-22 02:40:00.0<NA>209637.078216449832.48593831<NA><NA><NA><NA><NA><NA>저수조청소업
44304000030400003120190000320190118<NA>3폐업2폐업20190305<NA><NA><NA>02-486-3657<NA><NA>서울특별시 광진구 능동 282-6 한성빌딩서울특별시 광진구 능동로 276, 한성빌딩 B01호 (능동)4989(주)인스케어코어2019-03-05 19:08:13U2019-03-07 02:40:00.0<NA>206851.974145450247.13508831<NA><NA><NA><NA><NA>사업장 소재지 이전으로(강남구) 인한 폐업저수조청소업
45304000030400003120210000120211021<NA>3폐업2폐업20220905<NA><NA><NA>02-2677-2994<NA><NA>서울특별시 광진구 자양동 221-1 404호서울특별시 광진구 아차산로 344, 동아빌딩 404호 (자양동)5054다원환경건설(주)2022-09-05 10:22:19U2021-12-09 00:07:00.0<NA>207082.107425448299.458969<NA><NA><NA><NA><NA><NA><NA><NA>
4630400003040000312022000012022-01-12<NA>1영업/정상11정상<NA><NA><NA><NA>02-3437-7969<NA><NA>서울특별시 광진구 광장동 *** 금호베스트빌 상가 ***호서울특별시 광진구 광나루로 ***, 상가 ***호 (광장동, 광장동금호베스트빌)4984시원방역2023-12-28 17:53:39U2022-11-01 21:00:00.0<NA>208238.557198449058.888575<NA><NA><NA><NA><NA><NA><NA><NA>
4730400003040000312023000012023-04-20<NA>3폐업2폐업2023-12-14<NA><NA><NA>02-455-2660<NA><NA>서울특별시 광진구 자양동 ***-**서울특별시 광진구 뚝섬로**길 **, *층 (자양동)5100주식회사 예원2024-01-23 15:52:13U2023-11-30 22:05:00.0<NA>206999.178543447498.512062<NA><NA><NA><NA><NA><NA><NA><NA>
4830400003040000312023000022023-03-17<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 *** 타워더모스트광진아크로텔 ***-*호서울특별시 광진구 아차산로 ***, 타워더모스트광진아크로텔 ***-*호 (자양동)5026(주)더 민영2023-12-28 17:54:46U2022-11-01 21:00:00.0<NA>207202.136637448365.660089<NA><NA><NA><NA><NA><NA><NA><NA>
4930400003040000312024000012024-03-19<NA>1영업/정상11정상<NA><NA><NA><NA>1666-9577<NA><NA>서울특별시 광진구 자양동 ***-** 자양미성빌딩서울특별시 광진구 뚝섬로 ***, 자양미성빌딩 *층 (자양동)5059(주)홈피스2024-03-19 13:16:08I2023-12-02 22:01:00.0<NA>207297.117969447732.534504<NA><NA><NA><NA><NA><NA><NA><NA>