Overview

Dataset statistics

Number of variables33
Number of observations21
Missing cells260
Missing cells (%)37.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory290.3 B

Variable types

Categorical11
Numeric3
DateTime3
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-19477/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (72.4%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 10 (47.6%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 5 (23.8%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명주소 has 1 (4.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
건축물명 has 21 (100.0%) missing valuesMissing
건축물상태명 has 21 (100.0%) missing valuesMissing
청소대상시작일자 has 21 (100.0%) missing valuesMissing
청소대상종료일자 has 21 (100.0%) missing valuesMissing
휴업폐지사유 has 13 (61.9%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 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 started2024-04-29 19:56:37.281657
Analysis finished2024-04-29 19:56:37.916780
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3000000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 21
100.0%

Length

2024-04-30T04:56:37.983694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:38.072778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0000003 × 1017
Minimum3.0000003 × 1017
Maximum3.0000003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:56:38.161037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000003 × 1017
5-th percentile3.0000003 × 1017
Q13.0000003 × 1017
median3.0000003 × 1017
Q33.0000003 × 1017
95-th percentile3.0000003 × 1017
Maximum3.0000003 × 1017
Range2500001
Interquartile range (IQR)700032

Descriptive statistics

Standard deviation690034.96
Coefficient of variation (CV)2.3001163 × 10-12
Kurtosis-0.066722098
Mean3.0000003 × 1017
Median Absolute Deviation (MAD)400000
Skewness0.4752815
Sum6.3000007 × 1018
Variance4.7614825 × 1011
MonotonicityStrictly increasing
2024-04-30T04:56:38.260953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
300000031199800001 1
 
4.8%
300000031199900001 1
 
4.8%
300000031202300002 1
 
4.8%
300000031202300001 1
 
4.8%
300000031201800001 1
 
4.8%
300000031201700001 1
 
4.8%
300000031201400001 1
 
4.8%
300000031201300001 1
 
4.8%
300000031201000002 1
 
4.8%
300000031201000001 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
300000031199800001 1
4.8%
300000031199900001 1
4.8%
300000031200200001 1
4.8%
300000031200200002 1
4.8%
300000031200300001 1
4.8%
300000031200600001 1
4.8%
300000031200700001 1
4.8%
300000031200700002 1
4.8%
300000031200800001 1
4.8%
300000031200800002 1
4.8%
ValueCountFrequency (%)
300000031202300002 1
4.8%
300000031202300001 1
4.8%
300000031201800001 1
4.8%
300000031201700001 1
4.8%
300000031201400001 1
4.8%
300000031201300001 1
4.8%
300000031201000002 1
4.8%
300000031201000001 1
4.8%
300000031200900003 1
4.8%
300000031200900002 1
4.8%

인허가일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1995-04-20 00:00:00
Maximum2023-07-24 00:00:00
2024-04-30T04:56:38.350024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:38.442071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
3
11 
1
10 

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 11
52.4%
1 10
47.6%

Length

2024-04-30T04:56:38.534875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:38.630864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 11
52.4%
1 10
47.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
11 
영업/정상
10 

Length

Max length5
Median length2
Mean length3.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 11
52.4%
영업/정상 10
47.6%

Length

2024-04-30T04:56:38.734593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:38.830729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 11
52.4%
영업/정상 10
47.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2
11 
11
10 

Length

Max length2
Median length1
Mean length1.4761905
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 11
52.4%
11 10
47.6%

Length

2024-04-30T04:56:38.928568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:39.025233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 11
52.4%
11 10
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
11 
정상
10 

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 11
52.4%
정상 10
47.6%

Length

2024-04-30T04:56:39.105393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:39.183470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 11
52.4%
정상 10
47.6%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing10
Missing (%)47.6%
Memory size300.0 B
Minimum2009-12-22 00:00:00
Maximum2023-02-06 00:00:00
2024-04-30T04:56:39.252512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:39.328535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing5
Missing (%)23.8%
Memory size300.0 B
2024-04-30T04:56:39.459369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10
Min length8

Characters and Unicode

Total characters160
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

Unique14 ?
Unique (%)87.5%

Sample

1st row739-9535
2nd row02)734-1181
3rd row916-7008
4th row723-1212
5th row2269-7132
ValueCountFrequency (%)
02-2252-4950 2
 
12.5%
739-9535 1
 
6.2%
02)734-1181 1
 
6.2%
916-7008 1
 
6.2%
723-1212 1
 
6.2%
2269-7132 1
 
6.2%
62613737 1
 
6.2%
2280-5300 1
 
6.2%
027329676 1
 
6.2%
02-929-1771 1
 
6.2%
Other values (5) 5
31.2%
2024-04-30T04:56:39.720353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 32
20.0%
0 24
15.0%
- 21
13.1%
3 14
8.8%
1 13
8.1%
7 12
 
7.5%
5 11
 
6.9%
9 11
 
6.9%
6 9
 
5.6%
8 7
 
4.4%
Other values (2) 6
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
86.2%
Dash Punctuation 21
 
13.1%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 32
23.2%
0 24
17.4%
3 14
10.1%
1 13
9.4%
7 12
 
8.7%
5 11
 
8.0%
9 11
 
8.0%
6 9
 
6.5%
8 7
 
5.1%
4 5
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 32
20.0%
0 24
15.0%
- 21
13.1%
3 14
8.8%
1 13
8.1%
7 12
 
7.5%
5 11
 
6.9%
9 11
 
6.9%
6 9
 
5.6%
8 7
 
4.4%
Other values (2) 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 32
20.0%
0 24
15.0%
- 21
13.1%
3 14
8.8%
1 13
8.1%
7 12
 
7.5%
5 11
 
6.9%
9 11
 
6.9%
6 9
 
5.6%
8 7
 
4.4%
Other values (2) 6
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T04:56:39.909602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length27.047619
Min length18

Characters and Unicode

Total characters568
Distinct characters83
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 숭인동 1421-1
2nd row서울특별시 종로구 숭인동 200-23 금호빌딩 407호
3rd row서울특별시 종로구 수송동 80-6
4th row서울특별시 종로구 적선동 80 적선현대빌딩 지하4층
5th row서울특별시 종로구 명륜3가 127 명륜빌딩 2층
ValueCountFrequency (%)
서울특별시 21
18.6%
종로구 20
 
17.7%
숭인동 7
 
6.2%
4
 
3.5%
80 2
 
1.8%
적선현대빌딩 2
 
1.8%
적선동 2
 
1.8%
211-11 2
 
1.8%
창신동 1
 
0.9%
327-2 1
 
0.9%
Other values (51) 51
45.1%
2024-04-30T04:56:40.226963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
18.8%
1 26
 
4.6%
서 22
 
3.9%
시 22
 
3.9%
구 22
 
3.9%
동 22
 
3.9%
특 21
 
3.7%
별 21
 
3.7%
울 21
 
3.7%
종 20
 
3.5%
Other values (73) 264
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
56.9%
Space Separator 107
 
18.8%
Decimal Number 104
 
18.3%
Other Punctuation 19
 
3.3%
Dash Punctuation 12
 
2.1%
Uppercase Letter 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
6.8%
시 22
 
6.8%
구 22
 
6.8%
동 22
 
6.8%
특 21
 
6.5%
별 21
 
6.5%
울 21
 
6.5%
종 20
 
6.2%
로 20
 
6.2%
빌 11
 
3.4%
Other values (55) 121
37.5%
Decimal Number
ValueCountFrequency (%)
1 26
25.0%
2 17
16.3%
0 16
15.4%
3 13
12.5%
4 8
 
7.7%
9 6
 
5.8%
7 6
 
5.8%
6 5
 
4.8%
8 4
 
3.8%
5 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
* 16
84.2%
, 2
 
10.5%
. 1
 
5.3%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
56.9%
Common 244
43.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
6.8%
시 22
 
6.8%
구 22
 
6.8%
동 22
 
6.8%
특 21
 
6.5%
별 21
 
6.5%
울 21
 
6.5%
종 20
 
6.2%
로 20
 
6.2%
빌 11
 
3.4%
Other values (55) 121
37.5%
Common
ValueCountFrequency (%)
107
43.9%
1 26
 
10.7%
2 17
 
7.0%
0 16
 
6.6%
* 16
 
6.6%
3 13
 
5.3%
- 12
 
4.9%
4 8
 
3.3%
9 6
 
2.5%
7 6
 
2.5%
Other values (7) 17
 
7.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
56.9%
ASCII 245
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
43.7%
1 26
 
10.6%
2 17
 
6.9%
0 16
 
6.5%
* 16
 
6.5%
3 13
 
5.3%
- 12
 
4.9%
4 8
 
3.3%
9 6
 
2.4%
7 6
 
2.4%
Other values (8) 18
 
7.3%
Hangul
ValueCountFrequency (%)
서 22
 
6.8%
시 22
 
6.8%
구 22
 
6.8%
동 22
 
6.8%
특 21
 
6.5%
별 21
 
6.5%
울 21
 
6.5%
종 20
 
6.2%
로 20
 
6.2%
빌 11
 
3.4%
Other values (55) 121
37.5%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-04-30T04:56:40.426994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length32.75
Min length23

Characters and Unicode

Total characters655
Distinct characters93
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 난계로29가길 24 (숭인동)
2nd row서울특별시 종로구 난계로29길 62 (숭인동,금호빌딩 407호)
3rd row서울특별시 종로구 종로5길 58 (수송동)
4th row서울특별시 종로구 사직로 130 (적선동,적선현대빌딩 지하4층)
5th row서울특별시 종로구 창경궁로29길 25 (명륜3가,명륜빌딩 2층)
ValueCountFrequency (%)
서울특별시 20
 
16.4%
종로구 19
 
15.6%
숭인동 4
 
3.3%
4
 
3.3%
적선동,적선현대빌딩 2
 
1.6%
난계로 2
 
1.6%
난계로27길 2
 
1.6%
50 2
 
1.6%
29 2
 
1.6%
사직로 2
 
1.6%
Other values (62) 63
51.6%
2024-04-30T04:56:40.757500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
16.8%
로 35
 
5.3%
동 26
 
4.0%
시 22
 
3.4%
구 21
 
3.2%
서 21
 
3.2%
종 20
 
3.1%
( 20
 
3.1%
특 20
 
3.1%
울 20
 
3.1%
Other values (83) 340
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
58.0%
Space Separator 110
 
16.8%
Decimal Number 90
 
13.7%
Other Punctuation 34
 
5.2%
Open Punctuation 20
 
3.1%
Close Punctuation 20
 
3.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 35
 
9.2%
동 26
 
6.8%
시 22
 
5.8%
구 21
 
5.5%
서 21
 
5.5%
종 20
 
5.3%
특 20
 
5.3%
울 20
 
5.3%
별 20
 
5.3%
호 12
 
3.2%
Other values (66) 163
42.9%
Decimal Number
ValueCountFrequency (%)
2 19
21.1%
1 14
15.6%
0 13
14.4%
3 9
10.0%
7 8
8.9%
4 8
8.9%
5 7
 
7.8%
9 7
 
7.8%
6 3
 
3.3%
8 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 17
50.0%
* 16
47.1%
. 1
 
2.9%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
58.0%
Common 275
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 35
 
9.2%
동 26
 
6.8%
시 22
 
5.8%
구 21
 
5.5%
서 21
 
5.5%
종 20
 
5.3%
특 20
 
5.3%
울 20
 
5.3%
별 20
 
5.3%
호 12
 
3.2%
Other values (66) 163
42.9%
Common
ValueCountFrequency (%)
110
40.0%
( 20
 
7.3%
) 20
 
7.3%
2 19
 
6.9%
, 17
 
6.2%
* 16
 
5.8%
1 14
 
5.1%
0 13
 
4.7%
3 9
 
3.3%
7 8
 
2.9%
Other values (7) 29
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
58.0%
ASCII 275
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
40.0%
( 20
 
7.3%
) 20
 
7.3%
2 19
 
6.9%
, 17
 
6.2%
* 16
 
5.8%
1 14
 
5.1%
0 13
 
4.7%
3 9
 
3.3%
7 8
 
2.9%
Other values (7) 29
 
10.5%
Hangul
ValueCountFrequency (%)
로 35
 
9.2%
동 26
 
6.8%
시 22
 
5.8%
구 21
 
5.5%
서 21
 
5.5%
종 20
 
5.3%
특 20
 
5.3%
울 20
 
5.3%
별 20
 
5.3%
호 12
 
3.2%
Other values (66) 163
42.9%

도로명우편번호
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
16 
3111
 
1
4808
 
1
3007
 
1
3059
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)23.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
76.2%
3111 1
 
4.8%
4808 1
 
4.8%
3007 1
 
4.8%
3059 1
 
4.8%
3181 1
 
4.8%

Length

2024-04-30T04:56:40.864514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:40.953274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
76.2%
3111 1
 
4.8%
4808 1
 
4.8%
3007 1
 
4.8%
3059 1
 
4.8%
3181 1
 
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T04:56:41.115052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.3333333
Min length4

Characters and Unicode

Total characters175
Distinct characters88
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row(주)정우산업개발
2nd row(주)욱일종합개발
3rd row미림개발(주)
4th row신영방역
5th row(주)동남위생공해연구소
ValueCountFrequency (%)
주)정우산업개발 1
 
4.8%
두레시닝(주 1
 
4.8%
주)삼양인터내셔날 1
 
4.8%
대부건설(주 1
 
4.8%
진형종합관리(주 1
 
4.8%
주)자운씨앤에스 1
 
4.8%
주)용진기전 1
 
4.8%
주)태강티엠이스 1
 
4.8%
합명)매화기업 1
 
4.8%
주)씨앤에스자산관리 1
 
4.8%
Other values (11) 11
52.4%
2024-04-30T04:56:41.407665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 19
 
10.9%
) 19
 
10.9%
주 18
 
10.3%
스 5
 
2.9%
에 4
 
2.3%
합 3
 
1.7%
앤 3
 
1.7%
씨 3
 
1.7%
리 3
 
1.7%
진 3
 
1.7%
Other values (78) 95
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
76.0%
Open Punctuation 19
 
10.9%
Close Punctuation 19
 
10.9%
Decimal Number 3
 
1.7%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
13.5%
스 5
 
3.8%
에 4
 
3.0%
합 3
 
2.3%
앤 3
 
2.3%
씨 3
 
2.3%
리 3
 
2.3%
진 3
 
2.3%
자 3
 
2.3%
개 3
 
2.3%
Other values (72) 85
63.9%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
1 1
33.3%
4 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
76.0%
Common 42
 
24.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
13.5%
스 5
 
3.8%
에 4
 
3.0%
합 3
 
2.3%
앤 3
 
2.3%
씨 3
 
2.3%
리 3
 
2.3%
진 3
 
2.3%
자 3
 
2.3%
개 3
 
2.3%
Other values (72) 85
63.9%
Common
ValueCountFrequency (%)
( 19
45.2%
) 19
45.2%
9 1
 
2.4%
1 1
 
2.4%
. 1
 
2.4%
4 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
76.0%
ASCII 42
 
24.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 19
45.2%
) 19
45.2%
9 1
 
2.4%
1 1
 
2.4%
. 1
 
2.4%
4 1
 
2.4%
Hangul
ValueCountFrequency (%)
주 18
 
13.5%
스 5
 
3.8%
에 4
 
3.0%
합 3
 
2.3%
앤 3
 
2.3%
씨 3
 
2.3%
리 3
 
2.3%
진 3
 
2.3%
자 3
 
2.3%
개 3
 
2.3%
Other values (72) 85
63.9%

최종수정일자
Date

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2015-01-05 21:10:23
Maximum2023-07-25 14:39:50
2024-04-30T04:56:41.527752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:41.620022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
13 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
61.9%
U 8
38.1%

Length

2024-04-30T04:56:41.731576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:41.816148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
61.9%
u 8
38.1%

데이터갱신일자
Categorical

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-08-31 23:59:59.0
12 
2022-12-06 23:05:00.0
2 
2022-01-16 02:40:00.0
 
1
2020-11-24 02:40:00.0
 
1
2021-04-14 02:40:00.0
 
1
Other values (4)
4 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
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 12
57.1%
2022-12-06 23:05:00.0 2
 
9.5%
2022-01-16 02:40:00.0 1
 
4.8%
2020-11-24 02:40:00.0 1
 
4.8%
2021-04-14 02:40:00.0 1
 
4.8%
2022-12-04 23:03:00.0 1
 
4.8%
2020-01-31 02:40:00.0 1
 
4.8%
2021-04-15 02:40:00.0 1
 
4.8%
2022-12-06 22:07:00.0 1
 
4.8%

Length

2024-04-30T04:56:41.908109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:42.016651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 12
28.6%
23:59:59.0 12
28.6%
02:40:00.0 5
11.9%
2022-12-06 3
 
7.1%
23:05:00.0 2
 
4.8%
2022-01-16 1
 
2.4%
2020-11-24 1
 
2.4%
2021-04-14 1
 
2.4%
2022-12-04 1
 
2.4%
23:03:00.0 1
 
2.4%
Other values (3) 3
 
7.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200048.56
Minimum196188.68
Maximum205784.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:56:42.144500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196188.68
5-th percentile197076.32
Q1198592.6
median199698.71
Q3201737.7
95-th percentile201960.95
Maximum205784.87
Range9596.192
Interquartile range (IQR)3145.1011

Descriptive statistics

Standard deviation2266.9031
Coefficient of variation (CV)0.011331764
Kurtosis0.46954853
Mean200048.56
Median Absolute Deviation (MAD)2038.9898
Skewness0.48602367
Sum4201019.7
Variance5138849.6
MonotonicityNot monotonic
2024-04-30T04:56:42.245218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
197567.849954354 2
 
9.5%
201737.698523942 2
 
9.5%
201907.172427254 1
 
4.8%
198985.349183909 1
 
4.8%
197076.316936233 1
 
4.8%
198730.42270033 1
 
4.8%
196188.676804345 1
 
4.8%
201960.951300031 1
 
4.8%
205784.868811814 1
 
4.8%
201875.67290602 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
196188.676804345 1
4.8%
197076.316936233 1
4.8%
197567.849954354 2
9.5%
198204.837322667 1
4.8%
198592.597470985 1
4.8%
198730.42270033 1
4.8%
198970.736456772 1
4.8%
198985.349183909 1
4.8%
199605.49511328 1
4.8%
199698.708751424 1
4.8%
ValueCountFrequency (%)
205784.868811814 1
4.8%
201960.951300031 1
4.8%
201949.270716491 1
4.8%
201907.172427254 1
4.8%
201875.67290602 1
4.8%
201737.698523942 2
9.5%
201677.938265361 1
4.8%
201282.378349367 1
4.8%
199917.22023781 1
4.8%
199698.708751424 1
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452542.29
Minimum450883.52
Maximum456211.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:56:42.355452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450883.52
5-th percentile451690.59
Q1452293.43
median452378.98
Q3452567.16
95-th percentile453487.53
Maximum456211.92
Range5328.3987
Interquartile range (IQR)273.72702

Descriptive statistics

Standard deviation978.93567
Coefficient of variation (CV)0.0021631916
Kurtosis10.510159
Mean452542.29
Median Absolute Deviation (MAD)187.98341
Skewness2.6281937
Sum9503388.2
Variance958315.04
MonotonicityNot monotonic
2024-04-30T04:56:42.474855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
452567.159554494 2
 
9.5%
452294.161290298 2
 
9.5%
452350.614252089 1
 
4.8%
451798.274459999 1
 
4.8%
451690.586861352 1
 
4.8%
452928.204610535 1
 
4.8%
456211.92274867 1
 
4.8%
452506.178595954 1
 
4.8%
450883.524006222 1
 
4.8%
452853.208761025 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
450883.524006222 1
4.8%
451690.586861352 1
4.8%
451798.274459999 1
4.8%
452190.992738652 1
4.8%
452249.643664396 1
4.8%
452293.432531176 1
4.8%
452294.161290298 2
9.5%
452329.735166543 1
4.8%
452350.614252089 1
4.8%
452378.976148543 1
4.8%
ValueCountFrequency (%)
456211.92274867 1
4.8%
453487.534406085 1
4.8%
452928.204610535 1
4.8%
452853.208761025 1
4.8%
452588.063130721 1
4.8%
452567.159554494 2
9.5%
452534.45478172 1
4.8%
452506.178595954 1
4.8%
452390.167805309 1
4.8%
452378.976148543 1
4.8%

업무구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
31
17 
<NA>
4 

Length

Max length4
Median length2
Mean length2.3809524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 17
81.0%
<NA> 4
 
19.0%

Length

2024-04-30T04:56:42.612538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:42.707246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 17
81.0%
na 4
 
19.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-04-30T04:56:42.801370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:42.900221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업폐지사유
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing13
Missing (%)61.9%
Memory size300.0 B
2024-04-30T04:56:43.028643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length16
Mean length21.125
Min length4

Characters and Unicode

Total characters169
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row영업장 폐쇄명령
2nd row영업부진
3rd row중구로 이전
4th row영업소재지 변경(타구 이전)
5th row사업부진
ValueCountFrequency (%)
이전 3
 
10.0%
영업장 1
 
3.3%
과정 1
 
3.3%
인한 1
 
3.3%
이전으로 1
 
3.3%
사업장소재지 1
 
3.3%
2020.1.29 1
 
3.3%
폐업조치함(환경과-3536호 1
 
3.3%
직권 1
 
3.3%
바 1
 
3.3%
Other values (18) 18
60.0%
2024-04-30T04:56:43.305165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
13.0%
업 8
 
4.7%
구 7
 
4.1%
. 6
 
3.6%
) 5
 
3.0%
( 5
 
3.0%
0 5
 
3.0%
경 4
 
2.4%
소 4
 
2.4%
이 4
 
2.4%
Other values (56) 99
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101
59.8%
Decimal Number 24
 
14.2%
Space Separator 22
 
13.0%
Other Punctuation 8
 
4.7%
Close Punctuation 5
 
3.0%
Open Punctuation 5
 
3.0%
Dash Punctuation 3
 
1.8%
Math Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8
 
7.9%
구 7
 
6.9%
경 4
 
4.0%
소 4
 
4.0%
이 4
 
4.0%
전 4
 
4.0%
지 3
 
3.0%
과 3
 
3.0%
로 3
 
3.0%
폐 3
 
3.0%
Other values (39) 58
57.4%
Decimal Number
ValueCountFrequency (%)
0 5
20.8%
2 4
16.7%
6 3
12.5%
1 3
12.5%
5 2
 
8.3%
7 2
 
8.3%
3 2
 
8.3%
9 1
 
4.2%
8 1
 
4.2%
4 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
, 2
 
25.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101
59.8%
Common 68
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8
 
7.9%
구 7
 
6.9%
경 4
 
4.0%
소 4
 
4.0%
이 4
 
4.0%
전 4
 
4.0%
지 3
 
3.0%
과 3
 
3.0%
로 3
 
3.0%
폐 3
 
3.0%
Other values (39) 58
57.4%
Common
ValueCountFrequency (%)
22
32.4%
. 6
 
8.8%
) 5
 
7.4%
( 5
 
7.4%
0 5
 
7.4%
2 4
 
5.9%
6 3
 
4.4%
1 3
 
4.4%
- 3
 
4.4%
5 2
 
2.9%
Other values (7) 10
14.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101
59.8%
ASCII 68
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
32.4%
. 6
 
8.8%
) 5
 
7.4%
( 5
 
7.4%
0 5
 
7.4%
2 4
 
5.9%
6 3
 
4.4%
1 3
 
4.4%
- 3
 
4.4%
5 2
 
2.9%
Other values (7) 10
14.7%
Hangul
ValueCountFrequency (%)
업 8
 
7.9%
구 7
 
6.9%
경 4
 
4.0%
소 4
 
4.0%
이 4
 
4.0%
전 4
 
4.0%
지 3
 
3.0%
과 3
 
3.0%
로 3
 
3.0%
폐 3
 
3.0%
Other values (39) 58
57.4%

업무구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
저수조청소업
17 
<NA>
4 

Length

Max length6
Median length6
Mean length5.6190476
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 17
81.0%
<NA> 4
 
19.0%

Length

2024-04-30T04:56:43.608453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:43.730753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 17
81.0%
na 4
 
19.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0300000030000003119980000120100506<NA>3폐업2폐업20100506<NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 1421-1서울특별시 종로구 난계로29가길 24 (숭인동)<NA>(주)정우산업개발2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>201907.172427452350.61425231<NA><NA><NA><NA><NA>영업장 폐쇄명령저수조청소업
1300000030000003119990000120100520<NA>3폐업2폐업20100520<NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 200-23 금호빌딩 407호서울특별시 종로구 난계로29길 62 (숭인동,금호빌딩 407호)<NA>(주)욱일종합개발2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>201677.938265452378.97614931<NA><NA><NA><NA><NA>영업부진저수조청소업
2300000030000003120020000119950420<NA>1영업/정상11정상<NA><NA><NA><NA>739-9535<NA><NA>서울특별시 종로구 수송동 80-6서울특별시 종로구 종로5길 58 (수송동)<NA>미림개발(주)2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>198204.837323452293.43253131<NA><NA><NA><NA><NA><NA>저수조청소업
3300000030000003120020000220020413<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 적선동 80 적선현대빌딩 지하4층서울특별시 종로구 사직로 130 (적선동,적선현대빌딩 지하4층)<NA>신영방역2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>197567.849954452567.15955431<NA><NA><NA><NA><NA><NA>저수조청소업
4300000030000003120030000120100120<NA>3폐업2폐업20160729<NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜3가 127 명륜빌딩 2층서울특별시 종로구 창경궁로29길 25 (명륜3가,명륜빌딩 2층)<NA>(주)동남위생공해연구소2016-07-29 17:57:49I2018-08-31 23:59:59.0<NA>199698.708751453487.53440631<NA><NA><NA><NA><NA><NA>저수조청소업
5300000030000003120060000120110526<NA>3폐업2폐업20110526<NA><NA><NA><NA><NA><NA>서울특별시 종로구 원남동 194 창곡빌딩 307호서울특별시 종로구 창경궁로21길 17-6 (원남동,창곡빌딩 307호)<NA>삼진성흥(주)2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>199605.495113452588.06313131<NA><NA><NA><NA><NA>중구로 이전저수조청소업
6300000030000003120070000120091222<NA>3폐업2폐업20091222<NA><NA><NA>02)734-1181<NA><NA>서울특별시 종로구 익선동 30-0006 운현신화타워 B 101(내113)호<NA><NA>(주)청우티에스2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>198970.736457452534.45478231<NA><NA><NA><NA><NA>영업소재지 변경(타구 이전)저수조청소업
7300000030000003120070000220070730<NA>1영업/정상11정상<NA><NA><NA><NA>916-7008<NA><NA>서울특별시 종로구 숭인동 1396 극장빌딩 213호서울특별시 종로구 난계로 241 (숭인동,극장빌딩 213호)<NA>(주)영그린훼밀리2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>201949.270716452329.73516731<NA><NA><NA><NA><NA><NA>저수조청소업
8300000030000003120080000120080331<NA>1영업/정상11정상<NA><NA><NA><NA>723-1212<NA><NA>서울특별시 종로구 인사동 194-27 태화빌딩 12층 1202호서울특별시 종로구 인사동5길 29 (인사동,태화빌딩 12층 1202호)<NA>(주)더맨2015-01-05 21:10:23I2018-08-31 23:59:59.0<NA>198592.597471452190.99273931<NA><NA><NA><NA><NA><NA>저수조청소업
9300000030000003120080000220170217<NA>1영업/정상11정상<NA><NA><NA><NA>2269-7132<NA><NA>서울특별시 종로구 연지동 136-5 대호빌딩, 309호서울특별시 종로구 김상옥로 17 (연지동)<NA>싼타씨앤에스(주)2022-01-14 13:32:31U2022-01-16 02:40:00.0<NA>199917.220238452390.16780531<NA>0<NA><NA><NA><NA>저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
11300000030000003120090000220040519<NA>3폐업2폐업20170609<NA><NA><NA>2280-5300<NA><NA>서울특별시 종로구 관수동 152-1서울특별시 종로구 청계천로 105 (관수동)<NA>두레시닝(주)2017-06-16 15:30:07I2018-08-31 23:59:59.0<NA>198985.349184451798.2744631<NA><NA><NA><NA><NA>저수조청소업 변경신고 (종로구->서초구), 서초구 푸른환경과-17546 (2017.06.08.)호저수조청소업
12300000030000003120090000320171204<NA>1영업/정상11정상<NA><NA><NA><NA>027329676<NA><NA>서울특별시 종로구 적선동 80 적선현대빌딩 907호, 지하3층서울특별시 종로구 사직로 130 (적선동,적선현대빌딩 907호, 지하3층)<NA>(주)씨앤에스자산관리2020-11-22 12:56:41U2020-11-24 02:40:00.0<NA>197567.849954452567.15955431<NA><NA><NA><NA><NA><NA>저수조청소업
13300000030000003120100000120100628<NA>3폐업2폐업20170720<NA><NA><NA>02-2252-4950<NA><NA>서울특별시 종로구 숭인동 211-11 제일빌딩4층 402호서울특별시 종로구 난계로27길 50 (숭인동,제일빌딩4층 402호)<NA>(합명)매화기업2021-04-12 16:52:57U2021-04-14 02:40:00.0<NA>201737.698524452294.1612931<NA><NA><NA><NA><NA><NA>저수조청소업
1430000003000000312010000022010-10-14<NA>3폐업2폐업2023-02-06<NA><NA><NA>02-929-1771<NA><NA>서울특별시 종로구 숭인동 *** 중앙보습학원서울특별시 종로구 숭인동길 **, *층 (숭인동)3111(주)태강티엠이스2023-05-11 13:14:39U2022-12-04 23:03:00.0<NA>201875.672906452853.208761<NA><NA><NA><NA><NA><NA><NA><NA>
15300000030000003120130000120200129<NA>3폐업2폐업20200129<NA><NA><NA>02-2205-4005<NA><NA>서울특별시 성동구 용답동 234 장안평중고자동차시장서울특별시 성동구 자동차시장1길 70, 장안평중고자동차시장 에이동 3층 나8호 (용답동)4808(주)용진기전2020-01-29 17:48:18U2020-01-31 02:40:00.0<NA>205784.868812450883.52400631<NA><NA><NA><NA><NA>소재지 이전 과정 중 타구(성동구) 기 개설신고한 바 직권 폐업조치함(환경과-3536호, 2020.1.29.)저수조청소업
1630000003000000312014000012017-03-08<NA>1영업/정상11정상<NA><NA><NA><NA>02-921-3323<NA><NA>서울특별시 종로구 숭인동 ****서울특별시 종로구 난계로 ***, ***호 (숭인동)<NA>(주)자운씨앤에스2023-07-13 10:17:31U2022-12-06 23:05:00.0<NA>201960.9513452506.178596<NA><NA><NA><NA><NA><NA><NA><NA>
17300000030000003120170000120170720<NA>1영업/정상11정상<NA><NA><NA><NA>02-2252-4950<NA><NA>서울특별시 종로구 숭인동 211-11서울특별시 종로구 난계로27길 50, 401호 (숭인동)<NA>진형종합관리(주)2017-07-20 15:37:26I2018-08-31 23:59:59.0<NA>201737.698524452294.1612931<NA><NA><NA><NA><NA><NA>저수조청소업
18300000030000003120180000120181108<NA>3폐업2폐업20210413<NA><NA><NA>02-2658-6002<NA><NA>서울특별시 종로구 구기동 85-9 인왕빌딩서울특별시 종로구 진흥로 439, 인왕빌딩 201호 (구기동)3007대부건설(주)2021-04-13 14:00:26U2021-04-15 02:40:00.0<NA>196188.676804456211.92274931<NA><NA><NA><NA><NA>사업장소재지 이전으로 인한 폐업저수조청소업
1930000003000000312023000012020-08-19<NA>1영업/정상11정상<NA><NA><NA><NA>1588-0036<NA><NA>서울특별시 종로구 재동 **-* 보헌빌딩서울특별시 종로구 계동길 **, 보헌빌딩 (재동)3059(주)삼양인터내셔날2023-07-13 10:11:30U2022-12-06 23:05:00.0<NA>198730.4227452928.204611<NA><NA><NA><NA><NA><NA><NA><NA>
2030000003000000312023000022023-07-24<NA>1영업/정상11정상<NA><NA><NA><NA>02-738-0419<NA><NA>서울특별시 종로구 평동 *** *.**기념도서관서울특별시 종로구 새문안로 **, *.**기념도서관 (평동)31814.19혁명희생자유족회2023-07-25 14:39:50I2022-12-06 22:07:00.0<NA>197076.316936451690.586861<NA><NA><NA><NA><NA><NA><NA><NA>