Overview

Dataset statistics

Number of variables33
Number of observations29
Missing cells361
Missing cells (%)37.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory288.6 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-19485/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (52.0%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 14 (48.3%) missing valuesMissing
휴업시작일자 has 29 (100.0%) missing valuesMissing
휴업종료일자 has 29 (100.0%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
전화번호 has 2 (6.9%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
소재지우편번호 has 29 (100.0%) missing valuesMissing
도로명주소 has 1 (3.4%) missing valuesMissing
도로명우편번호 has 8 (27.6%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
건축물명 has 29 (100.0%) missing valuesMissing
건축물상태명 has 29 (100.0%) missing valuesMissing
청소대상시작일자 has 29 (100.0%) missing valuesMissing
청소대상종료일자 has 29 (100.0%) missing valuesMissing
휴업폐지사유 has 17 (58.6%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 08:25:22.319171
Analysis finished2024-05-11 08:25:22.658696
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
3080000
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 29
100.0%

Length

2024-05-11T17:25:22.709463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:22.794331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 29
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0800003 × 1017
Minimum3.0800003 × 1017
Maximum3.0800003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T17:25:22.891482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0800003 × 1017
5-th percentile3.0800003 × 1017
Q13.0800003 × 1017
median3.0800003 × 1017
Q33.0800003 × 1017
95-th percentile3.0800003 × 1017
Maximum3.0800003 × 1017
Range2200001
Interquartile range (IQR)1200000

Descriptive statistics

Standard deviation695658.77
Coefficient of variation (CV)2.2586321 × 10-12
Kurtosis-1.0031272
Mean3.0800003 × 1017
Median Absolute Deviation (MAD)699968
Skewness0.39640589
Sum8.9320009 × 1018
Variance4.8394112 × 1011
MonotonicityStrictly increasing
2024-05-11T17:25:23.021515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
308000031200100001 1
 
3.4%
308000031200200001 1
 
3.4%
308000031202300002 1
 
3.4%
308000031202300001 1
 
3.4%
308000031202200001 1
 
3.4%
308000031202100001 1
 
3.4%
308000031202000001 1
 
3.4%
308000031201700002 1
 
3.4%
308000031201700001 1
 
3.4%
308000031201500002 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
308000031200100001 1
3.4%
308000031200200001 1
3.4%
308000031200300001 1
3.4%
308000031200300002 1
3.4%
308000031200300003 1
3.4%
308000031200300004 1
3.4%
308000031200300005 1
3.4%
308000031200300006 1
3.4%
308000031200400001 1
3.4%
308000031200700001 1
3.4%
ValueCountFrequency (%)
308000031202300002 1
3.4%
308000031202300001 1
3.4%
308000031202200001 1
3.4%
308000031202100001 1
3.4%
308000031202000001 1
3.4%
308000031201700002 1
3.4%
308000031201700001 1
3.4%
308000031201500002 1
3.4%
308000031201500001 1
3.4%
308000031201300001 1
3.4%

인허가일자
Date

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2000-06-21 00:00:00
Maximum2023-11-21 00:00:00
2024-05-11T17:25:23.136832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:25:23.256188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
14 
3
14 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row4
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 14
48.3%
3 14
48.3%
4 1
 
3.4%

Length

2024-05-11T17:25:23.367542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:23.454827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
48.3%
3 14
48.3%
4 1
 
3.4%

영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업/정상
14 
폐업
14 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.862069
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 14
48.3%
폐업 14
48.3%
취소/말소/만료/정지/중지 1
 
3.4%

Length

2024-05-11T17:25:23.549141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:23.645579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
48.3%
폐업 14
48.3%
취소/말소/만료/정지/중지 1
 
3.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
11
14 
2
14 
4
 
1

Length

Max length2
Median length1
Mean length1.4827586
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row4
2nd row11
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
11 14
48.3%
2 14
48.3%
4 1
 
3.4%

Length

2024-05-11T17:25:23.745821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:23.835597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 14
48.3%
2 14
48.3%
4 1
 
3.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
정상
14 
폐업
14 
폐쇄
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
정상 14
48.3%
폐업 14
48.3%
폐쇄 1
 
3.4%

Length

2024-05-11T17:25:23.938346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:24.029849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 14
48.3%
폐업 14
48.3%
폐쇄 1
 
3.4%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)86.7%
Missing14
Missing (%)48.3%
Memory size364.0 B
Minimum2007-11-15 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T17:25:24.106754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:25:24.210570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

전화번호
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing2
Missing (%)6.9%
Memory size364.0 B
2024-05-11T17:25:24.371797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.5185185
Min length7

Characters and Unicode

Total characters257
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

Unique24 ?
Unique (%)88.9%

Sample

1st row983-5472
2nd row02-992-9173
3rd row991-0296
4th row991-0296
5th row903-6475
ValueCountFrequency (%)
991-0296 3
 
11.1%
999-8103 1
 
3.7%
983-5472 1
 
3.7%
900-3160 1
 
3.7%
02-988-8245 1
 
3.7%
02-433-5641 1
 
3.7%
02-997-4402 1
 
3.7%
02-988-1559 1
 
3.7%
02-431-5733 1
 
3.7%
02-431-5812 1
 
3.7%
Other values (15) 15
55.6%
2024-05-11T17:25:24.674123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 49
19.1%
- 37
14.4%
0 32
12.5%
2 29
11.3%
3 20
7.8%
1 19
 
7.4%
8 19
 
7.4%
4 17
 
6.6%
5 16
 
6.2%
6 12
 
4.7%
Other values (2) 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 219
85.2%
Dash Punctuation 37
 
14.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 49
22.4%
0 32
14.6%
2 29
13.2%
3 20
9.1%
1 19
 
8.7%
8 19
 
8.7%
4 17
 
7.8%
5 16
 
7.3%
6 12
 
5.5%
7 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 257
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 49
19.1%
- 37
14.4%
0 32
12.5%
2 29
11.3%
3 20
7.8%
1 19
 
7.4%
8 19
 
7.4%
4 17
 
6.6%
5 16
 
6.2%
6 12
 
4.7%
Other values (2) 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 49
19.1%
- 37
14.4%
0 32
12.5%
2 29
11.3%
3 20
7.8%
1 19
 
7.4%
8 19
 
7.4%
4 17
 
6.6%
5 16
 
6.2%
6 12
 
4.7%
Other values (2) 7
 
2.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

지번주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T17:25:24.868525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length23.896552
Min length19

Characters and Unicode

Total characters693
Distinct characters55
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

Unique27 ?
Unique (%)93.1%

Sample

1st row서울특별시 강북구 미아동 158-95
2nd row서울특별시 강북구 수유동 524-5
3rd row서울특별시 강북구 수유동 47-65
4th row서울특별시 강북구 수유동 455-32 201호
5th row서울특별시 강북구 수유동 455-32 203호
ValueCountFrequency (%)
서울특별시 29
20.9%
강북구 29
20.9%
수유동 14
 
10.1%
미아동 11
 
7.9%
번동 4
 
2.9%
4
 
2.9%
455-32 3
 
2.2%
3층 3
 
2.2%
860-16 2
 
1.4%
186-8 2
 
1.4%
Other values (35) 38
27.3%
2024-05-11T17:25:25.158797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
18.3%
동 31
 
4.5%
서 30
 
4.3%
울 30
 
4.3%
특 29
 
4.2%
별 29
 
4.2%
시 29
 
4.2%
강 29
 
4.2%
북 29
 
4.2%
구 29
 
4.2%
Other values (45) 301
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
54.4%
Decimal Number 138
 
19.9%
Space Separator 127
 
18.3%
Dash Punctuation 26
 
3.8%
Other Punctuation 23
 
3.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
8.2%
서 30
 
8.0%
울 30
 
8.0%
특 29
 
7.7%
별 29
 
7.7%
시 29
 
7.7%
강 29
 
7.7%
북 29
 
7.7%
구 29
 
7.7%
유 15
 
4.0%
Other values (30) 97
25.7%
Decimal Number
ValueCountFrequency (%)
5 22
15.9%
6 21
15.2%
1 21
15.2%
3 15
10.9%
0 14
10.1%
2 14
10.1%
8 12
8.7%
4 12
8.7%
9 4
 
2.9%
7 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 22
95.7%
, 1
 
4.3%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
54.4%
Common 314
45.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
8.2%
서 30
 
8.0%
울 30
 
8.0%
특 29
 
7.7%
별 29
 
7.7%
시 29
 
7.7%
강 29
 
7.7%
북 29
 
7.7%
구 29
 
7.7%
유 15
 
4.0%
Other values (30) 97
25.7%
Common
ValueCountFrequency (%)
127
40.4%
- 26
 
8.3%
5 22
 
7.0%
* 22
 
7.0%
6 21
 
6.7%
1 21
 
6.7%
3 15
 
4.8%
0 14
 
4.5%
2 14
 
4.5%
8 12
 
3.8%
Other values (4) 20
 
6.4%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
54.4%
ASCII 316
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
40.2%
- 26
 
8.2%
5 22
 
7.0%
* 22
 
7.0%
6 21
 
6.6%
1 21
 
6.6%
3 15
 
4.7%
0 14
 
4.4%
2 14
 
4.4%
8 12
 
3.8%
Other values (5) 22
 
7.0%
Hangul
ValueCountFrequency (%)
동 31
 
8.2%
서 30
 
8.0%
울 30
 
8.0%
특 29
 
7.7%
별 29
 
7.7%
시 29
 
7.7%
강 29
 
7.7%
북 29
 
7.7%
구 29
 
7.7%
유 15
 
4.0%
Other values (30) 97
25.7%

도로명주소
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing1
Missing (%)3.4%
Memory size364.0 B
2024-05-11T17:25:25.358503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34.5
Mean length29.214286
Min length22

Characters and Unicode

Total characters818
Distinct characters74
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

Unique28 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 도봉로78길 41 (미아동)
2nd row서울특별시 강북구 인수봉로 245, 1층 (수유동)
3rd row서울특별시 강북구 수유로 42-1 (수유동)
4th row서울특별시 강북구 인수봉로 160, 201호 (수유동)
5th row서울특별시 강북구 인수봉로 160, 203호 (수유동)
ValueCountFrequency (%)
서울특별시 28
17.2%
강북구 28
17.2%
수유동 13
 
8.0%
미아동 11
 
6.7%
번동 4
 
2.5%
4
 
2.5%
삼각산로 4
 
2.5%
인수봉로 4
 
2.5%
160 3
 
1.8%
3층 3
 
1.8%
Other values (55) 61
37.4%
2024-05-11T17:25:25.677177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
16.5%
동 30
 
3.7%
서 29
 
3.5%
울 29
 
3.5%
1 29
 
3.5%
시 28
 
3.4%
별 28
 
3.4%
북 28
 
3.4%
구 28
 
3.4%
로 28
 
3.4%
Other values (64) 426
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
56.7%
Space Separator 135
 
16.5%
Decimal Number 120
 
14.7%
Other Punctuation 35
 
4.3%
Close Punctuation 28
 
3.4%
Open Punctuation 28
 
3.4%
Dash Punctuation 7
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
6.5%
서 29
 
6.2%
울 29
 
6.2%
시 28
 
6.0%
별 28
 
6.0%
북 28
 
6.0%
구 28
 
6.0%
로 28
 
6.0%
특 28
 
6.0%
강 28
 
6.0%
Other values (46) 180
38.8%
Decimal Number
ValueCountFrequency (%)
1 29
24.2%
2 17
14.2%
0 14
11.7%
4 13
10.8%
6 12
10.0%
3 10
 
8.3%
8 8
 
6.7%
7 6
 
5.0%
5 6
 
5.0%
9 5
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 18
51.4%
* 15
42.9%
. 2
 
5.7%
Space Separator
ValueCountFrequency (%)
135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
56.7%
Common 353
43.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
6.5%
서 29
 
6.2%
울 29
 
6.2%
시 28
 
6.0%
별 28
 
6.0%
북 28
 
6.0%
구 28
 
6.0%
로 28
 
6.0%
특 28
 
6.0%
강 28
 
6.0%
Other values (46) 180
38.8%
Common
ValueCountFrequency (%)
135
38.2%
1 29
 
8.2%
) 28
 
7.9%
( 28
 
7.9%
, 18
 
5.1%
2 17
 
4.8%
* 15
 
4.2%
0 14
 
4.0%
4 13
 
3.7%
6 12
 
3.4%
Other values (7) 44
 
12.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
56.7%
ASCII 354
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
38.1%
1 29
 
8.2%
) 28
 
7.9%
( 28
 
7.9%
, 18
 
5.1%
2 17
 
4.8%
* 15
 
4.2%
0 14
 
4.0%
4 13
 
3.7%
6 12
 
3.4%
Other values (8) 45
 
12.7%
Hangul
ValueCountFrequency (%)
동 30
 
6.5%
서 29
 
6.2%
울 29
 
6.2%
시 28
 
6.0%
별 28
 
6.0%
북 28
 
6.0%
구 28
 
6.0%
로 28
 
6.0%
특 28
 
6.0%
강 28
 
6.0%
Other values (46) 180
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean1107.4762
Minimum1014
Maximum1226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T17:25:25.792135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1014
5-th percentile1021
Q11056
median1093
Q31163
95-th percentile1219
Maximum1226
Range212
Interquartile range (IQR)107

Descriptive statistics

Standard deviation66.261315
Coefficient of variation (CV)0.059830916
Kurtosis-0.90963111
Mean1107.4762
Median Absolute Deviation (MAD)50
Skewness0.46611809
Sum23257
Variance4390.5619
MonotonicityNot monotonic
2024-05-11T17:25:25.910080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1093 3
 
10.3%
1056 1
 
3.4%
1214 1
 
3.4%
1173 1
 
3.4%
1226 1
 
3.4%
1043 1
 
3.4%
1132 1
 
3.4%
1163 1
 
3.4%
1036 1
 
3.4%
1129 1
 
3.4%
Other values (9) 9
31.0%
(Missing) 8
27.6%
ValueCountFrequency (%)
1014 1
 
3.4%
1021 1
 
3.4%
1036 1
 
3.4%
1042 1
 
3.4%
1043 1
 
3.4%
1056 1
 
3.4%
1062 1
 
3.4%
1081 1
 
3.4%
1083 1
 
3.4%
1093 3
10.3%
ValueCountFrequency (%)
1226 1
 
3.4%
1219 1
 
3.4%
1214 1
 
3.4%
1179 1
 
3.4%
1173 1
 
3.4%
1163 1
 
3.4%
1132 1
 
3.4%
1129 1
 
3.4%
1105 1
 
3.4%
1093 3
10.3%

사업장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T17:25:26.109041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.137931
Min length4

Characters and Unicode

Total characters207
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row(주)이산아이엔씨
2nd row신세계통상개발
3rd row나일건설
4th row비손건설
5th row대해수중건설
ValueCountFrequency (%)
주)이산아이엔씨 1
 
3.3%
신세계통상개발 1
 
3.3%
한국인력공사 1
 
3.3%
디에이치비산업(주 1
 
3.3%
주)동아씨스템 1
 
3.3%
초록나무 1
 
3.3%
기경건설 1
 
3.3%
에스에이치종합건설(주 1
 
3.3%
하나로엠지엠(주 1
 
3.3%
주)청정티엠에스 1
 
3.3%
Other values (20) 20
66.7%
2024-05-11T17:25:26.432641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 14
 
6.8%
) 14
 
6.8%
주 14
 
6.8%
경 7
 
3.4%
스 6
 
2.9%
설 6
 
2.9%
건 6
 
2.9%
발 6
 
2.9%
개 6
 
2.9%
환 6
 
2.9%
Other values (77) 122
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
85.5%
Open Punctuation 14
 
6.8%
Close Punctuation 14
 
6.8%
Other Symbol 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
7.9%
경 7
 
4.0%
스 6
 
3.4%
설 6
 
3.4%
건 6
 
3.4%
발 6
 
3.4%
개 6
 
3.4%
환 6
 
3.4%
에 5
 
2.8%
린 4
 
2.3%
Other values (73) 111
62.7%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
86.0%
Common 29
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
7.9%
경 7
 
3.9%
스 6
 
3.4%
설 6
 
3.4%
건 6
 
3.4%
발 6
 
3.4%
개 6
 
3.4%
환 6
 
3.4%
에 5
 
2.8%
린 4
 
2.2%
Other values (74) 112
62.9%
Common
ValueCountFrequency (%)
( 14
48.3%
) 14
48.3%
1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
85.5%
ASCII 29
 
14.0%
None 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 14
48.3%
) 14
48.3%
1
 
3.4%
Hangul
ValueCountFrequency (%)
주 14
 
7.9%
경 7
 
4.0%
스 6
 
3.4%
설 6
 
3.4%
건 6
 
3.4%
발 6
 
3.4%
개 6
 
3.4%
환 6
 
3.4%
에 5
 
2.8%
린 4
 
2.3%
Other values (73) 111
62.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2015-01-05 21:05:44
Maximum2024-02-22 16:51:47
2024-05-11T17:25:26.749871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:25:26.853080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
U
23 
I
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 23
79.3%
I 6
 
20.7%

Length

2024-05-11T17:25:26.955487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:27.043128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 23
79.3%
i 6
 
20.7%

데이터갱신일자
Date

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:04:00
2024-05-11T17:25:27.121082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:25:27.219675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201957.86
Minimum200613.75
Maximum203648.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T17:25:27.318896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200613.75
5-th percentile200787.47
Q1201132.98
median201984.35
Q3202673.37
95-th percentile203019.88
Maximum203648.44
Range3034.6843
Interquartile range (IQR)1540.3932

Descriptive statistics

Standard deviation782.68943
Coefficient of variation (CV)0.0038755087
Kurtosis-0.6931233
Mean201957.86
Median Absolute Deviation (MAD)699.34558
Skewness0.07882125
Sum5856777.9
Variance612602.75
MonotonicityNot monotonic
2024-05-11T17:25:27.425363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
201132.981626283 3
 
10.3%
202708.894307147 2
 
6.9%
200613.752881218 2
 
6.9%
201606.445832012 2
 
6.9%
201762.491162113 2
 
6.9%
202218.928903625 1
 
3.4%
201048.037522189 1
 
3.4%
201984.345113059 1
 
3.4%
201742.958929097 1
 
3.4%
203648.437133703 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
200613.752881218 2
6.9%
201048.037522189 1
 
3.4%
201058.051614302 1
 
3.4%
201101.299414088 1
 
3.4%
201132.981626283 3
10.3%
201606.445832012 2
6.9%
201662.521271756 1
 
3.4%
201742.958929097 1
 
3.4%
201762.491162113 2
6.9%
201984.345113059 1
 
3.4%
ValueCountFrequency (%)
203648.437133703 1
3.4%
203160.153576134 1
3.4%
202809.461226156 1
3.4%
202783.105078865 1
3.4%
202708.894307147 2
6.9%
202683.690697496 1
3.4%
202673.374848184 1
3.4%
202662.7911525 1
3.4%
202285.613242427 1
3.4%
202218.928903625 1
3.4%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458654.4
Minimum456614.81
Maximum460411.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T17:25:27.555000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456614.81
5-th percentile456664.38
Q1457550.75
median459085.53
Q3459757.87
95-th percentile460247.78
Maximum460411.88
Range3797.0769
Interquartile range (IQR)2207.125

Descriptive statistics

Standard deviation1271.3476
Coefficient of variation (CV)0.0027719075
Kurtosis-1.2801764
Mean458654.4
Median Absolute Deviation (MAD)887.97298
Skewness-0.3862783
Sum13300978
Variance1616324.6
MonotonicityNot monotonic
2024-05-11T17:25:27.678997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
459085.52526353 3
 
10.3%
456664.383207582 2
 
6.9%
460411.882692428 2
 
6.9%
460001.632075829 2
 
6.9%
459907.611510355 2
 
6.9%
459060.733452516 1
 
3.4%
459757.874594486 1
 
3.4%
456614.805805491 1
 
3.4%
457803.097126111 1
 
3.4%
458387.203629314 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
456614.805805491 1
3.4%
456664.383207582 2
6.9%
456763.429350931 1
3.4%
456918.206232136 1
3.4%
456943.819705953 1
3.4%
457296.446151636 1
3.4%
457550.749590718 1
3.4%
457801.421247733 1
3.4%
457803.097126111 1
3.4%
458387.203629314 1
3.4%
ValueCountFrequency (%)
460411.882692428 2
6.9%
460001.632075829 2
6.9%
459973.498239483 1
 
3.4%
459907.611510355 2
6.9%
459757.874594486 1
 
3.4%
459745.037025999 1
 
3.4%
459411.940883021 1
 
3.4%
459182.283278113 1
 
3.4%
459170.283178422 1
 
3.4%
459085.52526353 3
10.3%

업무구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
31
23 
<NA>
6 

Length

Max length4
Median length2
Mean length2.4137931
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 23
79.3%
<NA> 6
 
20.7%

Length

2024-05-11T17:25:27.811077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:27.903036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 23
79.3%
na 6
 
20.7%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
26 
0
3 

Length

Max length4
Median length4
Mean length3.6896552
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> 26
89.7%
0 3
 
10.3%

Length

2024-05-11T17:25:27.991148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:28.076644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
89.7%
0 3
 
10.3%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업폐지사유
Text

MISSING 

Distinct8
Distinct (%)66.7%
Missing17
Missing (%)58.6%
Memory size364.0 B
2024-05-11T17:25:28.239020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length76
Mean length18.666667
Min length4

Characters and Unicode

Total characters224
Distinct characters58
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

Unique6 ?
Unique (%)50.0%

Sample

1st row영업부진
2nd row영업부진
3rd row사업부진
4th row사업부진
5th row영업부진 및 인력부재
ValueCountFrequency (%)
영업부진 4
 
8.2%
변경 3
 
6.1%
사업부진 3
 
6.1%
도봉구 2
 
4.1%
영업소 2
 
4.1%
26 2
 
4.1%
도봉로8길 2
 
4.1%
강북구 2
 
4.1%
이전 2
 
4.1%
801호 1
 
2.0%
Other values (26) 26
53.1%
2024-05-11T17:25:28.522114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
16.5%
업 15
 
6.7%
0 9
 
4.0%
2 9
 
4.0%
영 8
 
3.6%
부 8
 
3.6%
소 7
 
3.1%
진 7
 
3.1%
1 7
 
3.1%
봉 6
 
2.7%
Other values (48) 111
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
58.0%
Decimal Number 41
 
18.3%
Space Separator 37
 
16.5%
Close Punctuation 4
 
1.8%
Open Punctuation 4
 
1.8%
Dash Punctuation 3
 
1.3%
Other Punctuation 3
 
1.3%
Math Symbol 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 15
 
11.5%
영 8
 
6.2%
부 8
 
6.2%
소 7
 
5.4%
진 7
 
5.4%
봉 6
 
4.6%
도 6
 
4.6%
변 5
 
3.8%
사 5
 
3.8%
경 5
 
3.8%
Other values (33) 58
44.6%
Decimal Number
ValueCountFrequency (%)
0 9
22.0%
2 9
22.0%
1 7
17.1%
6 5
12.2%
4 4
9.8%
8 4
9.8%
3 2
 
4.9%
9 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
→ 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
58.0%
Common 94
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 15
 
11.5%
영 8
 
6.2%
부 8
 
6.2%
소 7
 
5.4%
진 7
 
5.4%
봉 6
 
4.6%
도 6
 
4.6%
변 5
 
3.8%
사 5
 
3.8%
경 5
 
3.8%
Other values (33) 58
44.6%
Common
ValueCountFrequency (%)
37
39.4%
0 9
 
9.6%
2 9
 
9.6%
1 7
 
7.4%
6 5
 
5.3%
) 4
 
4.3%
4 4
 
4.3%
8 4
 
4.3%
( 4
 
4.3%
- 3
 
3.2%
Other values (5) 8
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
58.0%
ASCII 93
41.5%
Arrows 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
39.8%
0 9
 
9.7%
2 9
 
9.7%
1 7
 
7.5%
6 5
 
5.4%
) 4
 
4.3%
4 4
 
4.3%
8 4
 
4.3%
( 4
 
4.3%
- 3
 
3.2%
Other values (4) 7
 
7.5%
Hangul
ValueCountFrequency (%)
업 15
 
11.5%
영 8
 
6.2%
부 8
 
6.2%
소 7
 
5.4%
진 7
 
5.4%
봉 6
 
4.6%
도 6
 
4.6%
변 5
 
3.8%
사 5
 
3.8%
경 5
 
3.8%
Other values (33) 58
44.6%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
저수조청소업
23 
<NA>
6 

Length

Max length6
Median length6
Mean length5.5862069
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 23
79.3%
<NA> 6
 
20.7%

Length

2024-05-11T17:25:28.646022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:25:28.739700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 23
79.3%
na 6
 
20.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0308000030800003120010000120120321<NA>4취소/말소/만료/정지/중지4폐쇄20220524<NA><NA><NA>983-5472<NA><NA>서울특별시 강북구 미아동 158-95서울특별시 강북구 도봉로78길 41 (미아동)1129(주)이산아이엔씨2022-05-24 17:48:21U2021-12-04 22:06:00.0<NA>202218.928904459060.733453<NA><NA><NA><NA><NA><NA><NA><NA>
1308000030800003120020000120000621<NA>1영업/정상11정상<NA><NA><NA><NA>02-992-9173<NA><NA>서울특별시 강북구 수유동 524-5서울특별시 강북구 인수봉로 245, 1층 (수유동)1021신세계통상개발2022-09-08 17:24:40U2021-12-08 23:01:00.0<NA>202809.461226456763.429351<NA><NA><NA><NA><NA><NA><NA><NA>
2308000030800003120030000120100127<NA>3폐업2폐업20100127<NA><NA><NA>991-0296<NA><NA>서울특별시 강북구 수유동 47-65서울특별시 강북구 수유로 42-1 (수유동)1081나일건설2020-10-14 14:06:04U2020-10-16 02:40:00.0<NA>201662.521272459170.28317831<NA><NA><NA><NA><NA>영업부진저수조청소업
3308000030800003120030000220100127<NA>3폐업2폐업20100127<NA><NA><NA>991-0296<NA><NA>서울특별시 강북구 수유동 455-32 201호서울특별시 강북구 인수봉로 160, 201호 (수유동)1093비손건설2020-10-14 14:08:06U2020-10-16 02:40:00.0<NA>201132.981626459085.52526431<NA><NA><NA><NA><NA>영업부진저수조청소업
4308000030800003120030000320071231<NA>3폐업2폐업20071231<NA><NA><NA>903-6475<NA><NA>서울특별시 강북구 수유동 455-32 203호서울특별시 강북구 인수봉로 160, 203호 (수유동)1093대해수중건설2020-10-15 10:30:17U2020-10-18 02:40:00.0<NA>201132.981626459085.52526431<NA><NA><NA><NA><NA>사업부진저수조청소업
5308000030800003120030000420071231<NA>3폐업2폐업20071231<NA><NA><NA>991-0296<NA><NA>서울특별시 강북구 수유동 455-32서울특별시 강북구 인수봉로 160 (수유동)1093비손개발2020-10-15 13:18:14U2020-10-18 02:40:00.0<NA>201132.981626459085.52526431<NA><NA><NA><NA><NA>사업부진저수조청소업
6308000030800003120030000520080321<NA>3폐업2폐업20161226<NA><NA><NA>980-9394<NA><NA>서울특별시 강북구 미아동 75-10서울특별시 강북구 오현로6길 40 (미아동)1219거성수질환경개발2020-10-15 13:19:06U2020-10-18 02:40:00.0<NA>202783.105079456918.20623231<NA><NA><NA><NA><NA>영업부진 및 인력부재저수조청소업
7308000030800003120030000620071228<NA>1영업/정상11정상<NA><NA><NA><NA>945-1966<NA><NA>서울특별시 강북구 미아동 329-46 3층서울특별시 강북구 도봉로23가길 18, 3층 (미아동)1179신유환경(주)2020-10-15 13:20:32U2020-10-18 02:40:00.0<NA>202285.613242457296.44615231<NA><NA><NA><NA><NA><NA>저수조청소업
8308000030800003120040000120071115<NA>3폐업2폐업20071115<NA><NA><NA>9914095<NA><NA>서울특별시 강북구 수유동 605-261 서울자동차공업사서울특별시 강북구 삼각산로 82, 서울자동차공업사 (수유동)1083(주)가호안전시스템2020-10-15 13:21:37U2020-10-18 02:40:00.0<NA>201101.299414459745.03702631<NA><NA><NA><NA><NA>영업소 변경에 따른 폐업신고저수조청소업
9308000030800003120070000120140801<NA>3폐업2폐업20140801<NA><NA><NA>994-5854<NA><NA>서울특별시 강북구 번동 446-13 가든타워빌딩 1705호서울특별시 강북구 도봉로 328, 가든타워빌딩 1705호 (번동)1062(주)교우건설2020-10-15 13:22:56U2020-10-18 02:40:00.0<NA>202155.401317459411.94088331<NA><NA><NA><NA><NA>영업부진저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
19308000030800003120130000120130115<NA>1영업/정상11정상<NA><NA><NA><NA>999-8103<NA><NA>서울특별시 강북구 미아동 136-36서울특별시 강북구 도봉로18길 76-6 (미아동)1163더조은환경2020-10-15 13:34:46U2020-10-18 02:40:00.0<NA>202683.690697457550.74959131<NA><NA><NA><NA><NA><NA>저수조청소업
20308000030800003120150000120150716<NA>1영업/정상11정상<NA><NA><NA><NA>02-929-8060<NA><NA>서울특별시 강북구 미아동 1355서울특별시 강북구 월계로21가길 41, 201, 202호 (미아동)<NA>(주)청정티엠에스2015-07-16 16:46:13I2018-08-31 23:59:59.0<NA>203160.153576456943.81970631<NA><NA><NA><NA><NA><NA>저수조청소업
2130800003080000312015000022015-12-16<NA>3폐업2폐업2023-11-21<NA><NA><NA>02-900-2526<NA><NA>서울특별시 강북구 번동 ***-**서울특별시 강북구 덕릉로 *** (번동)<NA>하나로엠지엠(주)2023-11-21 08:32:20U2022-10-31 22:03:00.0<NA>202138.651879459182.283278<NA><NA><NA><NA><NA><NA><NA><NA>
22308000030800003120170000120170303<NA>3폐업2폐업20181211<NA><NA><NA>02-431-5812<NA><NA>서울특별시 강북구 미아동 860-16서울특별시 강북구 도봉로8길 26 (미아동)<NA>에스에이치종합건설(주)2018-12-11 16:48:44U2018-12-13 02:40:00.0<NA>202708.894307456664.38320831<NA><NA><NA><NA><NA>영업소 소재지 변경 (강북구 도봉로8길 26, 4층 402호 → 도봉구 도봉로106길 22, 202동 801호)저수조청소업
23308000030800003120170000220170601<NA>3폐업2폐업20210430<NA><NA><NA>02-431-5733<NA><NA>서울특별시 강북구 미아동 860-16 3층서울특별시 강북구 도봉로8길 26, 3층 (미아동)<NA>기경건설2021-04-30 16:54:05U2021-05-02 02:40:00.0<NA>202708.894307456664.38320831<NA><NA><NA><NA><NA>영업소재지 변경 (사업장 주소 이전) 강북구 도봉로8길 26, 3층(미아동 860-16) -> 도봉구 도봉로104길 49-21 북한산현대홈시티 302동 1001호저수조청소업
24308000030800003120200000120200421<NA>1영업/정상11정상<NA><NA><NA><NA>02-988-1559<NA><NA>서울특별시 강북구 미아동 165-8 101호서울특별시 강북구 덕릉로30길 42, 101호 (미아동)1132초록나무2020-11-18 13:50:54U2020-11-20 02:40:00.0<NA>202178.92597458945.17487631<NA><NA><NA><NA><NA><NA>저수조청소업
25308000030800003120210000120210728<NA>1영업/정상11정상<NA><NA><NA><NA>02-997-4402<NA><NA>서울특별시 강북구 수유동 186-8 코리아빌딩서울특별시 강북구 삼각산로 149-1 (수유동)1043(주)동아씨스템2021-07-28 13:57:31I2021-07-30 00:22:51.0<NA>201762.491162459907.6115131<NA>0<NA><NA><NA><NA>저수조청소업
2630800003080000312022000012022-03-07<NA>3폐업2폐업2024-02-29<NA><NA><NA>02-433-5641<NA><NA>서울특별시 강북구 번동 ***-* 광덕빌딩서울특별시 강북구 한천로***가길 *, 광덕빌딩 (번동)1226디에이치비산업(주)2024-02-22 16:51:47U2023-12-01 22:04:00.0<NA>203648.437134458387.203629<NA><NA><NA><NA><NA><NA><NA><NA>
2730800003080000312023000012023-09-13<NA>1영업/정상11정상<NA><NA><NA><NA>02-988-8245<NA><NA>서울특별시 강북구 미아동 ***-* *층서울특별시 강북구 삼양로**길 **, *층 (미아동)1173한국인력공사2023-11-27 18:00:21U2022-10-31 22:09:00.0<NA>201742.958929457803.097126<NA><NA><NA><NA><NA><NA><NA><NA>
2830800003080000312023000022023-11-21<NA>1영업/정상11정상<NA><NA><NA><NA>02-988-8376<NA><NA>서울특별시 강북구 미아동 ****-*** 지층, *호서울특별시 강북구 숭인로 **, 지층 *호 (미아동)1214㈜언제나클린2023-11-22 14:02:44I2022-10-31 22:04:00.0<NA>201984.345113456614.805805<NA><NA><NA><NA><NA><NA><NA><NA>