Overview

Dataset statistics

Number of variables33
Number of observations36
Missing cells478
Missing cells (%)40.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory287.7 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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-19479/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 20 (55.6%) missing valuesMissing
휴업시작일자 has 36 (100.0%) missing valuesMissing
휴업종료일자 has 36 (100.0%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
전화번호 has 6 (16.7%) missing valuesMissing
소재지면적 has 36 (100.0%) missing valuesMissing
소재지우편번호 has 36 (100.0%) missing valuesMissing
지번주소 has 5 (13.9%) missing valuesMissing
도로명주소 has 4 (11.1%) missing valuesMissing
도로명우편번호 has 24 (66.7%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
건축물명 has 36 (100.0%) missing valuesMissing
건축물상태명 has 36 (100.0%) missing valuesMissing
청소대상시작일자 has 36 (100.0%) missing valuesMissing
청소대상종료일자 has 36 (100.0%) missing valuesMissing
휴업폐지사유 has 23 (63.9%) missing valuesMissing
관리번호 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 19:56:47.901110
Analysis finished2024-04-29 19:56:48.581954
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
3020000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 36
100.0%

Length

2024-04-30T04:56:48.645540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:48.728246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 36
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0200003 × 1017
Minimum3.0200003 × 1017
Maximum3.0200003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T04:56:48.822668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0200003 × 1017
5-th percentile3.0200003 × 1017
Q13.0200003 × 1017
median3.0200003 × 1017
Q33.0200003 × 1017
95-th percentile3.0200003 × 1017
Maximum3.0200003 × 1017
Range2100000
Interquartile range (IQR)1225024

Descriptive statistics

Standard deviation633176.28
Coefficient of variation (CV)2.09661 × 10-12
Kurtosis-0.95887773
Mean3.0200003 × 1017
Median Absolute Deviation (MAD)499968
Skewness0.55957375
Sum-7.574743 × 1018
Variance4.009122 × 1011
MonotonicityStrictly increasing
2024-04-30T04:56:48.933831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
302000031200300001 1
 
2.8%
302000031200900001 1
 
2.8%
302000031201000002 1
 
2.8%
302000031201000003 1
 
2.8%
302000031201000004 1
 
2.8%
302000031201300001 1
 
2.8%
302000031201500001 1
 
2.8%
302000031201500002 1
 
2.8%
302000031201600001 1
 
2.8%
302000031201600002 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
302000031200300001 1
2.8%
302000031200300002 1
2.8%
302000031200300003 1
2.8%
302000031200300004 1
2.8%
302000031200300005 1
2.8%
302000031200300006 1
2.8%
302000031200300007 1
2.8%
302000031200300008 1
2.8%
302000031200300009 1
2.8%
302000031200300010 1
2.8%
ValueCountFrequency (%)
302000031202400001 1
2.8%
302000031201900002 1
2.8%
302000031201900001 1
2.8%
302000031201800002 1
2.8%
302000031201800001 1
2.8%
302000031201700001 1
2.8%
302000031201600003 1
2.8%
302000031201600002 1
2.8%
302000031201600001 1
2.8%
302000031201500002 1
2.8%

인허가일자
Date

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum1995-02-20 00:00:00
Maximum2024-04-05 00:00:00
2024-04-30T04:56:49.034595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:49.136032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
18 
3
15 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
50.0%
3 15
41.7%
4 3
 
8.3%

Length

2024-04-30T04:56:49.242692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:49.325898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
50.0%
3 15
41.7%
4 3
 
8.3%

영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
영업/정상
18 
폐업
15 
취소/말소/만료/정지/중지
3 

Length

Max length14
Median length9.5
Mean length4.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
50.0%
폐업 15
41.7%
취소/말소/만료/정지/중지 3
 
8.3%

Length

2024-04-30T04:56:49.433875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:49.534469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
50.0%
폐업 15
41.7%
취소/말소/만료/정지/중지 3
 
8.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
11
18 
2
15 
4
3 

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 18
50.0%
2 15
41.7%
4 3
 
8.3%

Length

2024-04-30T04:56:49.660021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:49.748749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 18
50.0%
2 15
41.7%
4 3
 
8.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
정상
18 
폐업
15 
폐쇄
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 18
50.0%
폐업 15
41.7%
폐쇄 3
 
8.3%

Length

2024-04-30T04:56:49.839429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:49.937580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 18
50.0%
폐업 15
41.7%
폐쇄 3
 
8.3%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)81.2%
Missing20
Missing (%)55.6%
Memory size420.0 B
Minimum2010-04-15 00:00:00
Maximum2024-03-07 00:00:00
2024-04-30T04:56:50.022359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:50.112786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

전화번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing6
Missing (%)16.7%
Memory size420.0 B
2024-04-30T04:56:50.277033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.633333
Min length7

Characters and Unicode

Total characters319
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row705-1005
2nd row794-2411
3rd row02-798-8230
4th row02-798-0711
5th row02-795-5506
ValueCountFrequency (%)
02-793-5552 2
 
6.7%
797-8204 1
 
3.3%
705-1005 1
 
3.3%
02-446-9925 1
 
3.3%
070-4473-2886 1
 
3.3%
02-2088-5064 1
 
3.3%
02-705-0822 1
 
3.3%
02-391-2462 1
 
3.3%
02-6378-1116 1
 
3.3%
02-793-8906 1
 
3.3%
Other values (19) 19
63.3%
2024-04-30T04:56:50.568124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
18.5%
- 53
16.6%
7 38
11.9%
2 37
11.6%
9 27
8.5%
1 21
 
6.6%
8 21
 
6.6%
5 19
 
6.0%
4 16
 
5.0%
6 16
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
83.4%
Dash Punctuation 53
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
22.2%
7 38
14.3%
2 37
13.9%
9 27
10.2%
1 21
 
7.9%
8 21
 
7.9%
5 19
 
7.1%
4 16
 
6.0%
6 16
 
6.0%
3 12
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
18.5%
- 53
16.6%
7 38
11.9%
2 37
11.6%
9 27
8.5%
1 21
 
6.6%
8 21
 
6.6%
5 19
 
6.0%
4 16
 
5.0%
6 16
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
18.5%
- 53
16.6%
7 38
11.9%
2 37
11.6%
9 27
8.5%
1 21
 
6.6%
8 21
 
6.6%
5 19
 
6.0%
4 16
 
5.0%
6 16
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

지번주소
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing5
Missing (%)13.9%
Memory size420.0 B
2024-04-30T04:56:50.770571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length26.193548
Min length20

Characters and Unicode

Total characters812
Distinct characters73
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row서울특별시 용산구 청파동1가 154-32
2nd row서울특별시 용산구 보광동 238-9 보광빌딩 303호
3rd row서울특별시 용산구 한강로3가 16-88 GS에클라트 319호
4th row서울특별시 용산구 원효로*가 **-** ***호
5th row서울특별시 용산구 한남동 633-3 제일빌딩 501호
ValueCountFrequency (%)
서울특별시 31
19.3%
용산구 31
19.3%
한남동 8
 
5.0%
7
 
4.3%
한강로3가 5
 
3.1%
원효로2가 3
 
1.9%
이태원동 3
 
1.9%
gs에클라트 2
 
1.2%
보광동 2
 
1.2%
원효로3가 2
 
1.2%
Other values (57) 67
41.6%
2024-04-30T04:56:51.093194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
18.7%
* 40
 
4.9%
용 33
 
4.1%
서 32
 
3.9%
산 32
 
3.9%
특 31
 
3.8%
별 31
 
3.8%
시 31
 
3.8%
구 31
 
3.8%
울 31
 
3.8%
Other values (63) 368
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
56.3%
Space Separator 152
 
18.7%
Decimal Number 128
 
15.8%
Other Punctuation 40
 
4.9%
Dash Punctuation 25
 
3.1%
Uppercase Letter 8
 
1.0%
Letter Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 33
 
7.2%
서 32
 
7.0%
산 32
 
7.0%
특 31
 
6.8%
별 31
 
6.8%
시 31
 
6.8%
구 31
 
6.8%
울 31
 
6.8%
동 19
 
4.2%
가 18
 
3.9%
Other values (45) 168
36.8%
Decimal Number
ValueCountFrequency (%)
1 27
21.1%
3 25
19.5%
2 17
13.3%
5 14
10.9%
0 9
 
7.0%
4 9
 
7.0%
9 7
 
5.5%
6 7
 
5.5%
8 7
 
5.5%
7 6
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
G 3
37.5%
T 1
 
12.5%
K 1
 
12.5%
Space Separator
ValueCountFrequency (%)
152
100.0%
Other Punctuation
ValueCountFrequency (%)
* 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
56.3%
Common 345
42.5%
Latin 10
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 33
 
7.2%
서 32
 
7.0%
산 32
 
7.0%
특 31
 
6.8%
별 31
 
6.8%
시 31
 
6.8%
구 31
 
6.8%
울 31
 
6.8%
동 19
 
4.2%
가 18
 
3.9%
Other values (45) 168
36.8%
Common
ValueCountFrequency (%)
152
44.1%
* 40
 
11.6%
1 27
 
7.8%
3 25
 
7.2%
- 25
 
7.2%
2 17
 
4.9%
5 14
 
4.1%
0 9
 
2.6%
4 9
 
2.6%
9 7
 
2.0%
Other values (3) 20
 
5.8%
Latin
ValueCountFrequency (%)
S 3
30.0%
G 3
30.0%
Ⅱ 2
20.0%
T 1
 
10.0%
K 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
56.3%
ASCII 353
43.5%
Number Forms 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
43.1%
* 40
 
11.3%
1 27
 
7.6%
3 25
 
7.1%
- 25
 
7.1%
2 17
 
4.8%
5 14
 
4.0%
0 9
 
2.5%
4 9
 
2.5%
9 7
 
2.0%
Other values (7) 28
 
7.9%
Hangul
ValueCountFrequency (%)
용 33
 
7.2%
서 32
 
7.0%
산 32
 
7.0%
특 31
 
6.8%
별 31
 
6.8%
시 31
 
6.8%
구 31
 
6.8%
울 31
 
6.8%
동 19
 
4.2%
가 18
 
3.9%
Other values (45) 168
36.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing4
Missing (%)11.1%
Memory size420.0 B
2024-04-30T04:56:51.313782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38.5
Mean length34.5
Min length22

Characters and Unicode

Total characters1104
Distinct characters101
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 용산구 청파로 324 (청파동1가)
2nd row서울특별시 용산구 이촌로 1, 1116호 (한강로3가, GS한강에클라트)
3rd row서울특별시 용산구 원효로**길 *-*, ***호 (원효로*가)
4th row서울특별시 용산구 대사관로 72, 501호 (한남동, 제일빌딩)
5th row서울특별시 용산구 이태원로 ***, 국민은행 (이태원동)
ValueCountFrequency (%)
서울특별시 32
 
15.2%
용산구 32
 
15.2%
한남동 8
 
3.8%
8
 
3.8%
3층 5
 
2.4%
한강로3가 4
 
1.9%
원효로 4
 
1.9%
원효로2가 4
 
1.9%
호 4
 
1.9%
2층 3
 
1.4%
Other values (81) 106
50.5%
2024-04-30T04:56:51.652576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
16.1%
* 52
 
4.7%
로 46
 
4.2%
, 39
 
3.5%
서 36
 
3.3%
용 35
 
3.2%
산 34
 
3.1%
( 33
 
3.0%
) 33
 
3.0%
울 32
 
2.9%
Other values (91) 586
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
55.7%
Space Separator 178
 
16.1%
Decimal Number 136
 
12.3%
Other Punctuation 91
 
8.2%
Open Punctuation 33
 
3.0%
Close Punctuation 33
 
3.0%
Uppercase Letter 9
 
0.8%
Dash Punctuation 7
 
0.6%
Letter Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 46
 
7.5%
서 36
 
5.9%
용 35
 
5.7%
산 34
 
5.5%
울 32
 
5.2%
구 32
 
5.2%
시 32
 
5.2%
별 32
 
5.2%
특 32
 
5.2%
한 23
 
3.7%
Other values (69) 281
45.7%
Decimal Number
ValueCountFrequency (%)
1 30
22.1%
2 21
15.4%
4 21
15.4%
3 19
14.0%
0 17
12.5%
9 7
 
5.1%
6 7
 
5.1%
7 7
 
5.1%
5 5
 
3.7%
8 2
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
G 3
33.3%
S 3
33.3%
D 1
 
11.1%
T 1
 
11.1%
K 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 52
57.1%
, 39
42.9%
Space Separator
ValueCountFrequency (%)
178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
55.7%
Common 478
43.3%
Latin 11
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 46
 
7.5%
서 36
 
5.9%
용 35
 
5.7%
산 34
 
5.5%
울 32
 
5.2%
구 32
 
5.2%
시 32
 
5.2%
별 32
 
5.2%
특 32
 
5.2%
한 23
 
3.7%
Other values (69) 281
45.7%
Common
ValueCountFrequency (%)
178
37.2%
* 52
 
10.9%
, 39
 
8.2%
( 33
 
6.9%
) 33
 
6.9%
1 30
 
6.3%
2 21
 
4.4%
4 21
 
4.4%
3 19
 
4.0%
0 17
 
3.6%
Other values (6) 35
 
7.3%
Latin
ValueCountFrequency (%)
G 3
27.3%
S 3
27.3%
Ⅱ 2
18.2%
D 1
 
9.1%
T 1
 
9.1%
K 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
55.7%
ASCII 487
44.1%
Number Forms 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
36.6%
* 52
 
10.7%
, 39
 
8.0%
( 33
 
6.8%
) 33
 
6.8%
1 30
 
6.2%
2 21
 
4.3%
4 21
 
4.3%
3 19
 
3.9%
0 17
 
3.5%
Other values (11) 44
 
9.0%
Hangul
ValueCountFrequency (%)
로 46
 
7.5%
서 36
 
5.9%
용 35
 
5.7%
산 34
 
5.5%
울 32
 
5.2%
구 32
 
5.2%
시 32
 
5.2%
별 32
 
5.2%
특 32
 
5.2%
한 23
 
3.7%
Other values (69) 281
45.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing24
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean4370.3333
Minimum4308
Maximum4411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T04:56:51.759273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4308
5-th percentile4328.35
Q14352
median4369.5
Q34388
95-th percentile4411
Maximum4411
Range103
Interquartile range (IQR)36

Descriptive statistics

Standard deviation30.350478
Coefficient of variation (CV)0.0069446598
Kurtosis0.22258359
Mean4370.3333
Median Absolute Deviation (MAD)18.5
Skewness-0.35947607
Sum52444
Variance921.15152
MonotonicityNot monotonic
2024-04-30T04:56:51.854223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4411 2
 
5.6%
4364 2
 
5.6%
4406 1
 
2.8%
4375 1
 
2.8%
4353 1
 
2.8%
4376 1
 
2.8%
4382 1
 
2.8%
4345 1
 
2.8%
4349 1
 
2.8%
4308 1
 
2.8%
(Missing) 24
66.7%
ValueCountFrequency (%)
4308 1
2.8%
4345 1
2.8%
4349 1
2.8%
4353 1
2.8%
4364 2
5.6%
4375 1
2.8%
4376 1
2.8%
4382 1
2.8%
4406 1
2.8%
4411 2
5.6%
ValueCountFrequency (%)
4411 2
5.6%
4406 1
2.8%
4382 1
2.8%
4376 1
2.8%
4375 1
2.8%
4364 2
5.6%
4353 1
2.8%
4349 1
2.8%
4345 1
2.8%
4308 1
2.8%

사업장명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T04:56:52.046882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10.5
Mean length7.8055556
Min length3

Characters and Unicode

Total characters281
Distinct characters107
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

Unique36 ?
Unique (%)100.0%

Sample

1st row(주)유진 엔지니어링
2nd row(주)정우기연
3rd row(주)성인개발
4th row제일환경
5th row새로미
ValueCountFrequency (%)
주식회사 4
 
8.9%
주)유진 1
 
2.2%
청소도우리 1
 
2.2%
및 1
 
2.2%
건물관리 1
 
2.2%
협동조합 1
 
2.2%
주)위어피어 1
 
2.2%
한주피엠씨(주 1
 
2.2%
미래방제시스템 1
 
2.2%
주)태명기업 1
 
2.2%
Other values (32) 32
71.1%
2024-04-30T04:56:52.347050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
9.6%
( 23
 
8.2%
) 23
 
8.2%
9
 
3.2%
스 6
 
2.1%
리 6
 
2.1%
업 5
 
1.8%
이 5
 
1.8%
에 5
 
1.8%
건 4
 
1.4%
Other values (97) 168
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
76.2%
Open Punctuation 23
 
8.2%
Close Punctuation 23
 
8.2%
Uppercase Letter 10
 
3.6%
Space Separator 9
 
3.2%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
12.6%
스 6
 
2.8%
리 6
 
2.8%
업 5
 
2.3%
이 5
 
2.3%
에 5
 
2.3%
건 4
 
1.9%
식 4
 
1.9%
사 4
 
1.9%
관 4
 
1.9%
Other values (87) 144
67.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
C 3
30.0%
M 1
 
10.0%
D 1
 
10.0%
O 1
 
10.0%
R 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
76.2%
Common 57
 
20.3%
Latin 10
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
12.6%
스 6
 
2.8%
리 6
 
2.8%
업 5
 
2.3%
이 5
 
2.3%
에 5
 
2.3%
건 4
 
1.9%
식 4
 
1.9%
사 4
 
1.9%
관 4
 
1.9%
Other values (87) 144
67.3%
Latin
ValueCountFrequency (%)
S 3
30.0%
C 3
30.0%
M 1
 
10.0%
D 1
 
10.0%
O 1
 
10.0%
R 1
 
10.0%
Common
ValueCountFrequency (%)
( 23
40.4%
) 23
40.4%
9
 
15.8%
& 2
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
76.2%
ASCII 67
 
23.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
12.6%
스 6
 
2.8%
리 6
 
2.8%
업 5
 
2.3%
이 5
 
2.3%
에 5
 
2.3%
건 4
 
1.9%
식 4
 
1.9%
사 4
 
1.9%
관 4
 
1.9%
Other values (87) 144
67.3%
ASCII
ValueCountFrequency (%)
( 23
34.3%
) 23
34.3%
9
 
13.4%
S 3
 
4.5%
C 3
 
4.5%
& 2
 
3.0%
M 1
 
1.5%
D 1
 
1.5%
O 1
 
1.5%
R 1
 
1.5%

최종수정일자
Date

Distinct32
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2015-01-05 21:09:43
Maximum2024-04-11 16:14:32
2024-04-30T04:56:52.459546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:52.556233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
I
18 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
50.0%
U 18
50.0%

Length

2024-04-30T04:56:52.652506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:52.731472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
50.0%
u 18
50.0%

데이터갱신일자
Date

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:03:00
2024-04-30T04:56:52.812914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:52.917256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

좌표정보(X)
Real number (ℝ)

Distinct32
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197741.93
Minimum195980.53
Maximum200483.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T04:56:53.017975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195980.53
5-th percentile196005.84
Q1196760
median197137.94
Q3199041.77
95-th percentile200454.65
Maximum200483.77
Range4503.2398
Interquartile range (IQR)2281.7795

Descriptive statistics

Standard deviation1500.8096
Coefficient of variation (CV)0.007589739
Kurtosis-0.91131529
Mean197741.93
Median Absolute Deviation (MAD)761.39109
Skewness0.70747719
Sum7118709.3
Variance2252429.5
MonotonicityNot monotonic
2024-04-30T04:56:53.135054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
196005.836412851 3
 
8.3%
196839.985509521 2
 
5.6%
200454.484317416 2
 
5.6%
197300.851982804 1
 
2.8%
197138.702350444 1
 
2.8%
199485.690073324 1
 
2.8%
197532.027974506 1
 
2.8%
196118.749575977 1
 
2.8%
196829.25466984 1
 
2.8%
197128.016394734 1
 
2.8%
Other values (22) 22
61.1%
ValueCountFrequency (%)
195980.532724346 1
 
2.8%
196005.836412851 3
8.3%
196118.749575977 1
 
2.8%
196247.969298964 1
 
2.8%
196306.051443697 1
 
2.8%
196447.050183448 1
 
2.8%
196755.916741402 1
 
2.8%
196761.354724947 1
 
2.8%
196829.25466984 1
 
2.8%
196839.985509521 2
5.6%
ValueCountFrequency (%)
200483.772510759 1
2.8%
200455.14401596 1
2.8%
200454.484317416 2
5.6%
199860.819809374 1
2.8%
199824.14174056 1
2.8%
199659.228721053 1
2.8%
199485.690073324 1
2.8%
199453.471294286 1
2.8%
198904.54254137 1
2.8%
198806.839737317 1
2.8%

좌표정보(Y)
Real number (ℝ)

Distinct32
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448115.5
Minimum446942.2
Maximum450187.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T04:56:53.240594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446942.2
5-th percentile447211.86
Q1447656.12
median448034.52
Q3448380.73
95-th percentile449668.88
Maximum450187.64
Range3245.4415
Interquartile range (IQR)724.60769

Descriptive statistics

Standard deviation746.66635
Coefficient of variation (CV)0.0016662364
Kurtosis1.2755363
Mean448115.5
Median Absolute Deviation (MAD)351.75095
Skewness1.1230331
Sum16132158
Variance557510.64
MonotonicityNot monotonic
2024-04-30T04:56:53.517107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
447699.758814725 3
 
8.3%
448380.7270897 2
 
5.6%
447343.899960815 2
 
5.6%
449590.701464663 1
 
2.8%
449437.548980044 1
 
2.8%
448391.81393502 1
 
2.8%
448071.095207001 1
 
2.8%
447760.157527455 1
 
2.8%
448373.563789775 1
 
2.8%
450187.639791092 1
 
2.8%
Other values (22) 22
61.1%
ValueCountFrequency (%)
446942.198299835 1
 
2.8%
447157.478084417 1
 
2.8%
447229.993629727 1
 
2.8%
447343.899960815 2
5.6%
447348.10086997 1
 
2.8%
447564.413544716 1
 
2.8%
447583.735611074 1
 
2.8%
447594.009841561 1
 
2.8%
447676.82258215 1
 
2.8%
447699.758814725 3
8.3%
ValueCountFrequency (%)
450187.639791092 1
2.8%
449903.407408926 1
2.8%
449590.701464663 1
2.8%
449437.548980044 1
2.8%
448859.412649459 1
2.8%
448678.609024275 1
2.8%
448482.524576968 1
2.8%
448391.81393502 1
2.8%
448380.7270897 2
5.6%
448373.563789775 1
2.8%

업무구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
31
27 
<NA>
9 

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 27
75.0%
<NA> 9
 
25.0%

Length

2024-04-30T04:56:53.633860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:53.728937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 27
75.0%
na 9
 
25.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
33 
0
 
3

Length

Max length4
Median length4
Mean length3.75
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> 33
91.7%
0 3
 
8.3%

Length

2024-04-30T04:56:53.823363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:53.905950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
91.7%
0 3
 
8.3%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업폐지사유
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing23
Missing (%)63.9%
Memory size420.0 B
2024-04-30T04:56:54.038662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length12
Mean length14.615385
Min length2

Characters and Unicode

Total characters190
Distinct characters82
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

Unique13 ?
Unique (%)100.0%

Sample

1st row실사결과 업체 없음
2nd row영등포구로 이전
3rd row타 지역(서울시 은평구) 으로 사업체 이전
4th row사업부진
5th row실사 결과 업체 없음
ValueCountFrequency (%)
이전 4
 
8.9%
3
 
6.7%
없음 2
 
4.4%
업체 2
 
4.4%
회사 2
 
4.4%
인한 2
 
4.4%
코로나로 2
 
4.4%
실사결과 1
 
2.2%
녹색환경과-4660(2019.1.31.)호 1
 
2.2%
근거 1
 
2.2%
Other values (25) 25
55.6%
2024-04-30T04:56:54.315583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
16.8%
로 9
 
4.7%
사 8
 
4.2%
이 7
 
3.7%
구 6
 
3.2%
업 6
 
3.2%
전 5
 
2.6%
( 4
 
2.1%
) 4
 
2.1%
인 3
 
1.6%
Other values (72) 106
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
69.5%
Space Separator 32
 
16.8%
Decimal Number 11
 
5.8%
Open Punctuation 4
 
2.1%
Close Punctuation 4
 
2.1%
Other Punctuation 4
 
2.1%
Dash Punctuation 2
 
1.1%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9
 
6.8%
사 8
 
6.1%
이 7
 
5.3%
구 6
 
4.5%
업 6
 
4.5%
전 5
 
3.8%
인 3
 
2.3%
체 3
 
2.3%
과 3
 
2.3%
지 3
 
2.3%
Other values (58) 79
59.8%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
0 2
18.2%
6 2
18.2%
4 1
 
9.1%
2 1
 
9.1%
9 1
 
9.1%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
: 1
 
25.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
69.5%
Common 58
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9
 
6.8%
사 8
 
6.1%
이 7
 
5.3%
구 6
 
4.5%
업 6
 
4.5%
전 5
 
3.8%
인 3
 
2.3%
체 3
 
2.3%
과 3
 
2.3%
지 3
 
2.3%
Other values (58) 79
59.8%
Common
ValueCountFrequency (%)
32
55.2%
( 4
 
6.9%
) 4
 
6.9%
1 3
 
5.2%
. 3
 
5.2%
- 2
 
3.4%
0 2
 
3.4%
6 2
 
3.4%
4 1
 
1.7%
2 1
 
1.7%
Other values (4) 4
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
69.5%
ASCII 58
30.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
55.2%
( 4
 
6.9%
) 4
 
6.9%
1 3
 
5.2%
. 3
 
5.2%
- 2
 
3.4%
0 2
 
3.4%
6 2
 
3.4%
4 1
 
1.7%
2 1
 
1.7%
Other values (4) 4
 
6.9%
Hangul
ValueCountFrequency (%)
로 9
 
6.8%
사 8
 
6.1%
이 7
 
5.3%
구 6
 
4.5%
업 6
 
4.5%
전 5
 
3.8%
인 3
 
2.3%
체 3
 
2.3%
과 3
 
2.3%
지 3
 
2.3%
Other values (58) 79
59.8%

업무구분명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
저수조청소업
27 
<NA>
9 

Length

Max length6
Median length6
Mean length5.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 27
75.0%
<NA> 9
 
25.0%

Length

2024-04-30T04:56:54.453765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:54.553402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 27
75.0%
na 9
 
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0302000030200003120030000119950220<NA>4취소/말소/만료/정지/중지4폐쇄20150420<NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파동1가 154-32서울특별시 용산구 청파로 324 (청파동1가)<NA>(주)유진 엔지니어링2015-04-22 09:35:14I2018-08-31 23:59:59.0<NA>197300.851983449590.70146531<NA><NA><NA><NA><NA>실사결과 업체 없음저수조청소업
1302000030200003120030000220071112<NA>3폐업2폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 보광동 238-9 보광빌딩 303호<NA><NA>(주)정우기연2015-01-05 21:09:43I2018-08-31 23:59:59.0<NA>199659.228721447594.00984231<NA><NA><NA><NA><NA>영등포구로 이전저수조청소업
2302000030200003120030000320160816<NA>1영업/정상11정상<NA><NA><NA><NA>705-1005<NA><NA>서울특별시 용산구 한강로3가 16-88 GS에클라트 319호서울특별시 용산구 이촌로 1, 1116호 (한강로3가, GS한강에클라트)<NA>(주)성인개발2016-08-18 08:53:03I2018-08-31 23:59:59.0<NA>195980.532724447676.82258231<NA><NA><NA><NA><NA><NA>저수조청소업
3302000030200003120030000420090423<NA>3폐업2폐업20221102<NA><NA><NA>794-2411<NA><NA>서울특별시 용산구 원효로*가 **-** ***호서울특별시 용산구 원효로**길 *-*, ***호 (원효로*가)<NA>제일환경2022-11-04 09:45:46U2021-11-01 00:06:00.0<NA>197137.181447448678.609024<NA><NA><NA><NA><NA><NA><NA><NA>
4302000030200003120030000519960201<NA>3폐업2폐업20150420<NA><NA><NA>02-798-8230<NA><NA>서울특별시 용산구 한남동 633-3 제일빌딩 501호서울특별시 용산구 대사관로 72, 501호 (한남동, 제일빌딩)<NA>새로미2015-05-22 10:48:48I2018-08-31 23:59:59.0<NA>200455.144016447866.83131131<NA><NA><NA><NA><NA>타 지역(서울시 은평구) 으로 사업체 이전저수조청소업
5302000030200003120030000620110217<NA>3폐업2폐업20110217<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 199-3<NA><NA>태승산업관리(주)2015-01-05 21:09:43I2018-08-31 23:59:59.0<NA>196969.577186447157.47808431<NA><NA><NA><NA><NA>사업부진저수조청소업
630200003020000312003000072023-10-26<NA>1영업/정상11정상<NA><NA><NA><NA>02-798-0711<NA><NA>서울특별시 용산구 이태원동 ***-* 국민은행서울특별시 용산구 이태원로 ***, 국민은행 (이태원동)4406제이마스터(주)2023-10-27 15:27:02U2022-10-30 22:09:00.0<NA>199453.471294448006.716542<NA><NA><NA><NA><NA><NA><NA><NA>
7302000030200003120030000819990424<NA>4취소/말소/만료/정지/중지4폐쇄20150420<NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로2가 17 삼원빌딩 2층서울특별시 용산구 원효로 199, 2층 (원효로2가, 삼원빌딩)<NA>(주)보람종합관리2015-04-22 09:35:43I2018-08-31 23:59:59.0<NA>196761.354725448323.74808531<NA><NA><NA><NA><NA>실사 결과 업체 없음저수조청소업
8302000030200003120030000920010919<NA>1영업/정상11정상<NA><NA><NA><NA>02-795-5506<NA><NA>서울특별시 용산구 한강로1가 257-11 삼각빌딩 3층서울특별시 용산구 백범로 402, 삼각빌딩 3층 (한강로1가)4375세화건설2021-04-09 14:22:18U2021-04-11 02:40:00.0<NA>197562.687322448159.58775731<NA><NA><NA><NA><NA><NA>저수조청소업
9302000030200003120030001020200102<NA>1영업/정상11정상<NA><NA><NA><NA>02-794-1833<NA><NA>서울특별시 용산구 이태원동 658 아름누리빌딩 402호서울특별시 용산구 회나무로 3, 402호 (이태원동, 아름누리빌딩)<NA>(주)남선산업개발2020-01-02 09:44:24U2020-01-04 02:40:00.0<NA>198806.839737448482.52457731<NA><NA><NA><NA><NA><NA>저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
26302000030200003120150000220150915<NA>1영업/정상11정상<NA><NA><NA><NA>02-391-2462<NA><NA><NA>서울특별시 용산구 원효로 205, 3층 302호 (원효로2가)<NA>한양 청소 및 건물관리 협동조합2016-08-18 15:24:00I2018-08-31 23:59:59.0<NA>196829.25467448373.5637931<NA><NA><NA><NA><NA><NA>저수조청소업
27302000030200003120160000120160531<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파로 48, 1107호 (한강로3가, 용산오피스텔)<NA>(주)코리아휴먼테크2016-06-02 11:30:27I2018-08-31 23:59:59.0<NA>196118.749576447760.15752731<NA><NA><NA><NA><NA><NA>저수조청소업
2830200003020000312016000022016-09-01<NA>3폐업2폐업2023-10-30<NA><NA><NA>02-705-0822<NA><NA><NA>서울특별시 용산구 이촌로 *, ****호 (한강로*가, GS한강에클라트)<NA>에스엠씨(SMC)2023-11-14 20:50:37U2022-10-31 23:06:00.0<NA>196005.836413447699.758815<NA><NA><NA><NA><NA><NA><NA><NA>
29302000030200003120160000320161214<NA>3폐업2폐업20190131<NA><NA><NA>02-2088-5064<NA><NA><NA>서울특별시 용산구 한강대로 179, 2층 (한강로1가)<NA>(주)다림엔지니어링2019-02-12 17:57:00U2019-02-14 02:40:00.0<NA>197532.027975448071.09520731<NA><NA><NA><NA><NA>관악구로 영업소 이전 ( 근거 문서 : 관악구청 녹색환경과-4660(2019.1.31.)호 )저수조청소업
3030200003020000312017000012017-11-30<NA>3폐업2폐업2023-02-27<NA><NA><NA>070-4473-2886<NA><NA>서울특별시 용산구 한남동 ***-**서울특별시 용산구 이태원로**길 *** (한남동)4349(주)안주2023-02-27 20:20:00U2022-12-03 00:01:00.0<NA>199485.690073448391.813935<NA><NA><NA><NA><NA><NA><NA><NA>
31302000030200003120180000120180313<NA>1영업/정상11정상<NA><NA><NA><NA>02-793-5552<NA><NA>서울특별시 용산구 한남동 551 한남동 하이페리온 Ⅱ서울특별시 용산구 서빙고로 417, 404호 (한남동, 한남동 하이페리온 Ⅱ)4411선우특수건설(주)2018-03-26 17:29:39I2018-08-31 23:59:59.0<NA>200454.484317447343.89996131<NA><NA><NA><NA><NA><NA>저수조청소업
32302000030200003120180000220180319<NA>3폐업2폐업20211014<NA><NA><NA>02-793-5552<NA><NA>서울특별시 용산구 한남동 551 한남동 하이페리온 Ⅱ서울특별시 용산구 서빙고로 417, 4층 404호 (한남동, 한남동 하이페리온 Ⅱ)4411영지이엔지(주)2021-10-25 08:47:30U2021-10-27 02:40:00.0<NA>200454.484317447343.89996131<NA>0<NA><NA><NA>코로나로 인한 공사부족저수조청소업
33302000030200003120190000120200319<NA>3폐업2폐업20210901<NA><NA><NA>02-446-9925<NA><NA>서울특별시 용산구 원효로2가 1-31 상완빌딩서울특별시 용산구 원효로 207, 상완빌딩 501호 (원효로2가)4364수하개발(주)2021-11-17 17:24:27U2021-11-19 02:40:00.0<NA>196839.98551448380.7270931<NA>0<NA><NA><NA>회사 형편상의 이유로 폐업저수조청소업
34302000030200003120190000220190221<NA>3폐업2폐업20210901<NA><NA><NA>070-7760-0160<NA><NA>서울특별시 용산구 원효로2가 1-31 상완빌딩서울특별시 용산구 원효로 207, 상완빌딩 501호 (원효로2가)4364명림건설(주)2021-11-17 17:24:34U2021-11-19 02:40:00.0<NA>196839.98551448380.7270931<NA>0<NA><NA><NA>코로나로 인한 회사 형편의 어려움저수조청소업
3530200003020000312024000012024-03-07<NA>4취소/말소/만료/정지/중지4폐쇄2024-03-07<NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파동*가 ***-**서울특별시 용산구 청파로**길 **-*, ***(D**실)호 (청파동*가)4308주식회사 오가피2024-03-15 08:06:45U2023-12-02 23:07:00.0<NA>197138.70235449437.54898<NA><NA><NA><NA><NA><NA><NA><NA>