Overview

Dataset statistics

Number of variables33
Number of observations55
Missing cells715
Missing cells (%)39.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory286.4 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-19493/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (86.9%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 31 (56.4%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 13 (23.6%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 55 (100.0%) missing valuesMissing
지번주소 has 1 (1.8%) missing valuesMissing
도로명주소 has 3 (5.5%) missing valuesMissing
도로명우편번호 has 23 (41.8%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.8%) missing valuesMissing
좌표정보(Y) has 1 (1.8%) missing valuesMissing
건축물명 has 55 (100.0%) missing valuesMissing
건축물상태명 has 55 (100.0%) missing valuesMissing
청소대상시작일자 has 55 (100.0%) missing valuesMissing
청소대상종료일자 has 55 (100.0%) missing valuesMissing
휴업폐지사유 has 37 (67.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:56:58.446043
Analysis finished2024-04-29 19:56:59.156529
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3160000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 55
100.0%

Length

2024-04-30T04:56:59.215561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:59.289948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 55
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1600003 × 1017
Minimum3.1600003 × 1017
Maximum3.1600003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:56:59.395013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1600003 × 1017
5-th percentile3.1600003 × 1017
Q13.1600003 × 1017
median3.1600003 × 1017
Q33.1600003 × 1017
95-th percentile3.1600003 × 1017
Maximum3.1600003 × 1017
Range2800003
Interquartile range (IQR)950016

Descriptive statistics

Standard deviation678293.26
Coefficient of variation (CV)2.1464974 × 10-12
Kurtosis-0.48920284
Mean3.1600003 × 1017
Median Absolute Deviation (MAD)499968
Skewness0.20769444
Sum-1.0667424 × 1018
Variance4.6008174 × 1011
MonotonicityStrictly increasing
2024-04-30T04:56:59.505154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
316000031199500001 1
 
1.8%
316000031199900001 1
 
1.8%
316000031201100003 1
 
1.8%
316000031201200001 1
 
1.8%
316000031201200002 1
 
1.8%
316000031201200003 1
 
1.8%
316000031201200004 1
 
1.8%
316000031201300001 1
 
1.8%
316000031201300002 1
 
1.8%
316000031201400001 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
316000031199500001 1
1.8%
316000031199900001 1
1.8%
316000031199900002 1
1.8%
316000031200300001 1
1.8%
316000031200400002 1
1.8%
316000031200400003 1
1.8%
316000031200400004 1
1.8%
316000031200400005 1
1.8%
316000031200500001 1
1.8%
316000031200500002 1
1.8%
ValueCountFrequency (%)
316000031202300004 1
1.8%
316000031202300003 1
1.8%
316000031202300002 1
1.8%
316000031202300001 1
1.8%
316000031202200002 1
1.8%
316000031202200001 1
1.8%
316000031202100001 1
1.8%
316000031202000001 1
1.8%
316000031201900002 1
1.8%
316000031201900001 1
1.8%

인허가일자
Date

Distinct52
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1995-06-08 00:00:00
Maximum2023-08-30 00:00:00
2024-04-30T04:56:59.640043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:59.757702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
29 
3
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
52.7%
3 26
47.3%

Length

2024-04-30T04:56:59.858571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:59.951448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
52.7%
3 26
47.3%

영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
29 
폐업
26 

Length

Max length5
Median length5
Mean length3.5818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
52.7%
폐업 26
47.3%

Length

2024-04-30T04:57:00.060029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:00.153723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
52.7%
폐업 26
47.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
11
29 
2
26 

Length

Max length2
Median length2
Mean length1.5272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 29
52.7%
2 26
47.3%

Length

2024-04-30T04:57:00.238692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:00.333416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 29
52.7%
2 26
47.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
정상
29 
폐업
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 29
52.7%
폐업 26
47.3%

Length

2024-04-30T04:57:00.419689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:00.494875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 29
52.7%
폐업 26
47.3%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)83.3%
Missing31
Missing (%)56.4%
Memory size572.0 B
Minimum2004-02-27 00:00:00
Maximum2023-06-07 00:00:00
2024-04-30T04:57:00.565289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:00.651750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing13
Missing (%)23.6%
Memory size572.0 B
2024-04-30T04:57:00.832745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length11.333333
Min length8

Characters and Unicode

Total characters476
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row02-854-4340
2nd row02-869-6465
3rd row02-2619-0051
4th row863-1293
5th row854-4675
ValueCountFrequency (%)
02-866-6622 1
 
2.4%
02-2612-4805 1
 
2.4%
02-852-3886 1
 
2.4%
02-2681-0855 1
 
2.4%
2068-0572 1
 
2.4%
02-2601-3399 1
 
2.4%
02-865-0592 1
 
2.4%
02-2060-2290 1
 
2.4%
02-2685-1537 1
 
2.4%
02-2625-1509 1
 
2.4%
Other values (32) 32
76.2%
2024-04-30T04:57:01.155115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 82
17.2%
- 78
16.4%
0 74
15.5%
6 49
10.3%
5 40
8.4%
8 38
8.0%
1 27
 
5.7%
9 24
 
5.0%
3 23
 
4.8%
7 20
 
4.2%
Other values (3) 21
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 396
83.2%
Dash Punctuation 78
 
16.4%
Math Symbol 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 82
20.7%
0 74
18.7%
6 49
12.4%
5 40
10.1%
8 38
9.6%
1 27
 
6.8%
9 24
 
6.1%
3 23
 
5.8%
7 20
 
5.1%
4 19
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 82
17.2%
- 78
16.4%
0 74
15.5%
6 49
10.3%
5 40
8.4%
8 38
8.0%
1 27
 
5.7%
9 24
 
5.0%
3 23
 
4.8%
7 20
 
4.2%
Other values (3) 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 82
17.2%
- 78
16.4%
0 74
15.5%
6 49
10.3%
5 40
8.4%
8 38
8.0%
1 27
 
5.7%
9 24
 
5.0%
3 23
 
4.8%
7 20
 
4.2%
Other values (3) 21
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지번주소
Text

MISSING 

Distinct50
Distinct (%)92.6%
Missing1
Missing (%)1.8%
Memory size572.0 B
2024-04-30T04:57:01.380880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length27.203704
Min length18

Characters and Unicode

Total characters1469
Distinct characters119
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

Unique47 ?
Unique (%)87.0%

Sample

1st row서울특별시 구로구 구로동 ***-* 푸른나래빌
2nd row서울특별시 구로구 오류동 **-* 하늘쉼빌딩
3rd row서울특별시 구로구 오류동 137-8 대성빌딩
4th row서울특별시 구로구 구로동 106-4 선경오피스텔 1413호
5th row서울특별시 구로구 오류동 165-7
ValueCountFrequency (%)
서울특별시 54
18.8%
구로구 54
18.8%
구로동 31
 
10.8%
29
 
10.1%
오류동 8
 
2.8%
호 6
 
2.1%
고척동 5
 
1.7%
선경오피스텔 4
 
1.4%
개봉동 4
 
1.4%
106-4 3
 
1.0%
Other values (80) 89
31.0%
2024-04-30T04:57:01.711964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
249
17.0%
구 145
 
9.9%
* 144
 
9.8%
로 88
 
6.0%
동 62
 
4.2%
울 55
 
3.7%
시 55
 
3.7%
서 54
 
3.7%
특 54
 
3.7%
별 54
 
3.7%
Other values (109) 509
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 860
58.5%
Space Separator 249
 
17.0%
Decimal Number 154
 
10.5%
Other Punctuation 148
 
10.1%
Dash Punctuation 50
 
3.4%
Uppercase Letter 6
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 145
16.9%
로 88
 
10.2%
동 62
 
7.2%
울 55
 
6.4%
시 55
 
6.4%
서 54
 
6.3%
특 54
 
6.3%
별 54
 
6.3%
호 17
 
2.0%
오 14
 
1.6%
Other values (89) 262
30.5%
Decimal Number
ValueCountFrequency (%)
1 42
27.3%
0 24
15.6%
4 22
14.3%
6 14
 
9.1%
3 13
 
8.4%
2 12
 
7.8%
7 9
 
5.8%
9 9
 
5.8%
8 5
 
3.2%
5 4
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
S 1
 
16.7%
K 1
 
16.7%
B 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 144
97.3%
, 4
 
2.7%
Space Separator
ValueCountFrequency (%)
249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 860
58.5%
Common 603
41.0%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 145
16.9%
로 88
 
10.2%
동 62
 
7.2%
울 55
 
6.4%
시 55
 
6.4%
서 54
 
6.3%
특 54
 
6.3%
별 54
 
6.3%
호 17
 
2.0%
오 14
 
1.6%
Other values (89) 262
30.5%
Common
ValueCountFrequency (%)
249
41.3%
* 144
23.9%
- 50
 
8.3%
1 42
 
7.0%
0 24
 
4.0%
4 22
 
3.6%
6 14
 
2.3%
3 13
 
2.2%
2 12
 
2.0%
7 9
 
1.5%
Other values (6) 24
 
4.0%
Latin
ValueCountFrequency (%)
A 3
50.0%
S 1
 
16.7%
K 1
 
16.7%
B 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 860
58.5%
ASCII 609
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
249
40.9%
* 144
23.6%
- 50
 
8.2%
1 42
 
6.9%
0 24
 
3.9%
4 22
 
3.6%
6 14
 
2.3%
3 13
 
2.1%
2 12
 
2.0%
7 9
 
1.5%
Other values (10) 30
 
4.9%
Hangul
ValueCountFrequency (%)
구 145
16.9%
로 88
 
10.2%
동 62
 
7.2%
울 55
 
6.4%
시 55
 
6.4%
서 54
 
6.3%
특 54
 
6.3%
별 54
 
6.3%
호 17
 
2.0%
오 14
 
1.6%
Other values (89) 262
30.5%

도로명주소
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing3
Missing (%)5.5%
Memory size572.0 B
2024-04-30T04:57:01.947725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39.5
Mean length33.538462
Min length22

Characters and Unicode

Total characters1744
Distinct characters131
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

Unique52 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 구로중앙로**길 **-** (구로동, 푸른나래빌)
2nd row서울특별시 구로구 경인로**가길 *, 하늘쉼빌딩 (오류동)
3rd row서울특별시 구로구 오류로8길 57 (오류동, 대성빌딩)
4th row서울특별시 구로구 공원로 3, 1413호 (구로동,선경오피스텔)
5th row서울특별시 구로구 오류로 51 (오류동)
ValueCountFrequency (%)
서울특별시 52
 
16.0%
구로구 52
 
16.0%
29
 
9.0%
구로동 21
 
6.5%
호 9
 
2.8%
오류동 8
 
2.5%
공원로 5
 
1.5%
고척동 5
 
1.5%
구로중앙로 4
 
1.2%
경인로 4
 
1.2%
Other values (109) 135
41.7%
2024-04-30T04:57:02.324229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
16.0%
구 150
 
8.6%
로 145
 
8.3%
* 137
 
7.9%
동 64
 
3.7%
시 54
 
3.1%
서 53
 
3.0%
울 53
 
3.0%
특 52
 
3.0%
별 52
 
3.0%
Other values (121) 705
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1048
60.1%
Space Separator 279
 
16.0%
Other Punctuation 184
 
10.6%
Decimal Number 115
 
6.6%
Open Punctuation 52
 
3.0%
Close Punctuation 50
 
2.9%
Dash Punctuation 11
 
0.6%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 150
14.3%
로 145
 
13.8%
동 64
 
6.1%
시 54
 
5.2%
서 53
 
5.1%
울 53
 
5.1%
특 52
 
5.0%
별 52
 
5.0%
길 30
 
2.9%
호 21
 
2.0%
Other values (102) 374
35.7%
Decimal Number
ValueCountFrequency (%)
1 31
27.0%
3 15
13.0%
7 12
 
10.4%
0 11
 
9.6%
4 11
 
9.6%
2 10
 
8.7%
5 10
 
8.7%
8 6
 
5.2%
9 5
 
4.3%
6 4
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
S 1
 
20.0%
K 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 137
74.5%
, 47
 
25.5%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1048
60.1%
Common 691
39.6%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 150
14.3%
로 145
 
13.8%
동 64
 
6.1%
시 54
 
5.2%
서 53
 
5.1%
울 53
 
5.1%
특 52
 
5.0%
별 52
 
5.0%
길 30
 
2.9%
호 21
 
2.0%
Other values (102) 374
35.7%
Common
ValueCountFrequency (%)
279
40.4%
* 137
19.8%
( 52
 
7.5%
) 50
 
7.2%
, 47
 
6.8%
1 31
 
4.5%
3 15
 
2.2%
7 12
 
1.7%
0 11
 
1.6%
- 11
 
1.6%
Other values (6) 46
 
6.7%
Latin
ValueCountFrequency (%)
A 3
60.0%
S 1
 
20.0%
K 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1048
60.1%
ASCII 696
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
40.1%
* 137
19.7%
( 52
 
7.5%
) 50
 
7.2%
, 47
 
6.8%
1 31
 
4.5%
3 15
 
2.2%
7 12
 
1.7%
0 11
 
1.6%
- 11
 
1.6%
Other values (9) 51
 
7.3%
Hangul
ValueCountFrequency (%)
구 150
14.3%
로 145
 
13.8%
동 64
 
6.1%
시 54
 
5.2%
서 53
 
5.1%
울 53
 
5.1%
특 52
 
5.0%
별 52
 
5.0%
길 30
 
2.9%
호 21
 
2.0%
Other values (102) 374
35.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)78.1%
Missing23
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean8295.4062
Minimum8216
Maximum8385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:57:02.439790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8216
5-th percentile8224.1
Q18265
median8299.5
Q38323
95-th percentile8376
Maximum8385
Range169
Interquartile range (IQR)58

Descriptive statistics

Standard deviation49.213727
Coefficient of variation (CV)0.0059326482
Kurtosis-0.76485102
Mean8295.4062
Median Absolute Deviation (MAD)31
Skewness0.12489238
Sum265453
Variance2421.9909
MonotonicityNot monotonic
2024-04-30T04:57:02.542040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8323 2
 
3.6%
8271 2
 
3.6%
8225 2
 
3.6%
8294 2
 
3.6%
8306 2
 
3.6%
8312 2
 
3.6%
8376 2
 
3.6%
8232 1
 
1.8%
8303 1
 
1.8%
8301 1
 
1.8%
Other values (15) 15
27.3%
(Missing) 23
41.8%
ValueCountFrequency (%)
8216 1
1.8%
8223 1
1.8%
8225 2
3.6%
8227 1
1.8%
8232 1
1.8%
8247 1
1.8%
8259 1
1.8%
8267 1
1.8%
8270 1
1.8%
8271 2
3.6%
ValueCountFrequency (%)
8385 1
1.8%
8376 2
3.6%
8375 1
1.8%
8357 1
1.8%
8353 1
1.8%
8336 1
1.8%
8323 2
3.6%
8312 2
3.6%
8306 2
3.6%
8303 1
1.8%

사업장명
Text

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-30T04:57:02.725106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.3636364
Min length2

Characters and Unicode

Total characters405
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)92.7%

Sample

1st row한신공무관리(주)
2nd row(주)다보산업관리
3rd row(주)산청종합관리
4th row동양라인
5th row상준환경
ValueCountFrequency (%)
주)아스타아이비에스 2
 
3.4%
주식회사 2
 
3.4%
화성정수설비공사 2
 
3.4%
정우e&c 1
 
1.7%
주)와이브이시스템 1
 
1.7%
케이제이산업 1
 
1.7%
주)부경이엠 1
 
1.7%
주)대영산업기술 1
 
1.7%
한신공무관리(주 1
 
1.7%
주)동일실업 1
 
1.7%
Other values (45) 45
77.6%
2024-04-30T04:57:03.006169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
8.9%
( 34
 
8.4%
) 34
 
8.4%
산 10
 
2.5%
이 10
 
2.5%
업 9
 
2.2%
경 9
 
2.2%
성 9
 
2.2%
지 9
 
2.2%
환 8
 
2.0%
Other values (103) 237
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
81.0%
Open Punctuation 34
 
8.4%
Close Punctuation 34
 
8.4%
Space Separator 3
 
0.7%
Uppercase Letter 3
 
0.7%
Lowercase Letter 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
11.0%
산 10
 
3.0%
이 10
 
3.0%
업 9
 
2.7%
경 9
 
2.7%
성 9
 
2.7%
지 9
 
2.7%
환 8
 
2.4%
스 8
 
2.4%
엔 8
 
2.4%
Other values (94) 212
64.6%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
N 1
33.3%
G 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
e 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
81.0%
Common 72
 
17.8%
Latin 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
11.0%
산 10
 
3.0%
이 10
 
3.0%
업 9
 
2.7%
경 9
 
2.7%
성 9
 
2.7%
지 9
 
2.7%
환 8
 
2.4%
스 8
 
2.4%
엔 8
 
2.4%
Other values (94) 212
64.6%
Latin
ValueCountFrequency (%)
c 1
20.0%
e 1
20.0%
E 1
20.0%
N 1
20.0%
G 1
20.0%
Common
ValueCountFrequency (%)
( 34
47.2%
) 34
47.2%
3
 
4.2%
& 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
81.0%
ASCII 77
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
11.0%
산 10
 
3.0%
이 10
 
3.0%
업 9
 
2.7%
경 9
 
2.7%
성 9
 
2.7%
지 9
 
2.7%
환 8
 
2.4%
스 8
 
2.4%
엔 8
 
2.4%
Other values (94) 212
64.6%
ASCII
ValueCountFrequency (%)
( 34
44.2%
) 34
44.2%
3
 
3.9%
c 1
 
1.3%
& 1
 
1.3%
e 1
 
1.3%
E 1
 
1.3%
N 1
 
1.3%
G 1
 
1.3%

최종수정일자
Date

Distinct43
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2015-01-05 21:06:11
Maximum2024-03-18 15:29:41
2024-04-30T04:57:03.113115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:03.208442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
U
33 
I
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 33
60.0%
I 22
40.0%

Length

2024-04-30T04:57:03.306708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:03.397523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 33
60.0%
i 22
40.0%

데이터갱신일자
Date

Distinct9
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:05:00
2024-04-30T04:57:03.472952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:03.554537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)87.0%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean188661.32
Minimum184388.94
Maximum191173.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:57:03.684599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184388.94
5-th percentile185384.82
Q1187087.36
median189313.76
Q3190328.15
95-th percentile190479.9
Maximum191173.83
Range6784.8979
Interquartile range (IQR)3240.7957

Descriptive statistics

Standard deviation1915.5153
Coefficient of variation (CV)0.010153195
Kurtosis-0.86408483
Mean188661.32
Median Absolute Deviation (MAD)1096.2879
Skewness-0.71146291
Sum10187711
Variance3669198.8
MonotonicityNot monotonic
2024-04-30T04:57:03.976228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
190410.047738361 4
 
7.3%
190295.141464557 2
 
3.6%
189277.761702183 2
 
3.6%
190479.902194476 2
 
3.6%
187619.596959162 2
 
3.6%
186983.248672893 1
 
1.8%
191173.834097241 1
 
1.8%
189349.758051788 1
 
1.8%
190263.722813994 1
 
1.8%
185722.781635144 1
 
1.8%
Other values (37) 37
67.3%
ValueCountFrequency (%)
184388.93623066 1
1.8%
184725.796610134 1
1.8%
184757.189120902 1
1.8%
185722.781635144 1
1.8%
185741.502547322 1
1.8%
185875.875759586 1
1.8%
186080.434730583 1
1.8%
186088.999015038 1
1.8%
186109.586696336 1
1.8%
186144.880821445 1
1.8%
ValueCountFrequency (%)
191173.834097241 1
 
1.8%
190541.499138217 1
 
1.8%
190479.902194476 2
3.6%
190447.24866829 1
 
1.8%
190418.759351546 1
 
1.8%
190410.047738361 4
7.3%
190397.636959271 1
 
1.8%
190394.394227379 1
 
1.8%
190392.600449496 1
 
1.8%
190339.157793095 1
 
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)87.0%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean443718.42
Minimum442292.02
Maximum444978.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:57:04.081398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442292.02
5-th percentile442465.23
Q1443277.47
median443840.21
Q3444187.24
95-th percentile444688.37
Maximum444978.68
Range2686.6609
Interquartile range (IQR)909.76809

Descriptive statistics

Standard deviation685.89057
Coefficient of variation (CV)0.0015457789
Kurtosis-0.51775756
Mean443718.42
Median Absolute Deviation (MAD)460.9712
Skewness-0.38134908
Sum23960794
Variance470445.88
MonotonicityNot monotonic
2024-04-30T04:57:04.198326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
443953.502895004 4
 
7.3%
443841.455440573 2
 
3.6%
444671.551731639 2
 
3.6%
442751.419539641 2
 
3.6%
444186.923109714 2
 
3.6%
442489.066500572 1
 
1.8%
442316.325150566 1
 
1.8%
443704.682234401 1
 
1.8%
443850.860193572 1
 
1.8%
443385.214187291 1
 
1.8%
Other values (37) 37
67.3%
ValueCountFrequency (%)
442292.021835769 1
1.8%
442316.325150566 1
1.8%
442420.961220955 1
1.8%
442489.066500572 1
1.8%
442558.310755613 1
1.8%
442708.140860448 1
1.8%
442751.419539641 2
3.6%
442875.809121532 1
1.8%
443033.966167068 1
1.8%
443127.162405937 1
1.8%
ValueCountFrequency (%)
444978.682746138 1
1.8%
444777.113986764 1
1.8%
444719.612328337 1
1.8%
444671.551731639 2
3.6%
444640.4925456 1
1.8%
444619.274551899 1
1.8%
444562.755976432 1
1.8%
444378.705296067 1
1.8%
444315.111565151 1
1.8%
444307.156580024 1
1.8%

업무구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
31 
31
24 

Length

Max length4
Median length4
Mean length3.1272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
56.4%
31 24
43.6%

Length

2024-04-30T04:57:04.311589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:04.407672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
56.4%
31 24
43.6%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
0
 
1

Length

Max length4
Median length4
Mean length3.9454545
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
98.2%
0 1
 
1.8%

Length

2024-04-30T04:57:04.504558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:04.594620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
0 1
 
1.8%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업폐지사유
Text

MISSING 

Distinct11
Distinct (%)61.1%
Missing37
Missing (%)67.3%
Memory size572.0 B
2024-04-30T04:57:04.726215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length8.2222222
Min length4

Characters and Unicode

Total characters148
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)55.6%

Sample

1st row사업장 이전
2nd row영업부진
3rd row사업부진(실적없음)
4th row2011.3.9 무단폐쇄에 의한 직권취소
5th row자진 폐업(저수조청소업 운영 안함)
ValueCountFrequency (%)
영업부진 8
25.8%
이전 3
 
9.7%
사업장 2
 
6.5%
소재지 1
 
3.2%
변경처리함 1
 
3.2%
이전(양천구에서 1
 
3.2%
양천구로 1
 
3.2%
업종변경 1
 
3.2%
폐업 1
 
3.2%
저수조청소업 1
 
3.2%
Other values (11) 11
35.5%
2024-04-30T04:57:05.015294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 16
 
10.8%
13
 
8.8%
진 10
 
6.8%
영 9
 
6.1%
부 9
 
6.1%
소 5
 
3.4%
이 5
 
3.4%
전 5
 
3.4%
( 5
 
3.4%
구 4
 
2.7%
Other values (44) 67
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
80.4%
Space Separator 13
 
8.8%
Decimal Number 6
 
4.1%
Open Punctuation 5
 
3.4%
Close Punctuation 3
 
2.0%
Other Punctuation 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 16
 
13.4%
진 10
 
8.4%
영 9
 
7.6%
부 9
 
7.6%
소 5
 
4.2%
이 5
 
4.2%
전 5
 
4.2%
구 4
 
3.4%
폐 3
 
2.5%
로 3
 
2.5%
Other values (35) 50
42.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
3 1
16.7%
2 1
16.7%
0 1
16.7%
9 1
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
80.4%
Common 29
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 16
 
13.4%
진 10
 
8.4%
영 9
 
7.6%
부 9
 
7.6%
소 5
 
4.2%
이 5
 
4.2%
전 5
 
4.2%
구 4
 
3.4%
폐 3
 
2.5%
로 3
 
2.5%
Other values (35) 50
42.0%
Common
ValueCountFrequency (%)
13
44.8%
( 5
 
17.2%
) 3
 
10.3%
. 2
 
6.9%
1 2
 
6.9%
3 1
 
3.4%
2 1
 
3.4%
0 1
 
3.4%
9 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
80.4%
ASCII 29
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 16
 
13.4%
진 10
 
8.4%
영 9
 
7.6%
부 9
 
7.6%
소 5
 
4.2%
이 5
 
4.2%
전 5
 
4.2%
구 4
 
3.4%
폐 3
 
2.5%
로 3
 
2.5%
Other values (35) 50
42.0%
ASCII
ValueCountFrequency (%)
13
44.8%
( 5
 
17.2%
) 3
 
10.3%
. 2
 
6.9%
1 2
 
6.9%
3 1
 
3.4%
2 1
 
3.4%
0 1
 
3.4%
9 1
 
3.4%

업무구분명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
31 
저수조청소업
24 

Length

Max length6
Median length4
Mean length4.8727273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
56.4%
저수조청소업 24
43.6%

Length

2024-04-30T04:57:05.130815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:05.227386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
56.4%
저수조청소업 24
43.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
031600003160000311995000012017-03-06<NA>1영업/정상11정상<NA><NA><NA><NA>02-854-4340<NA><NA>서울특별시 구로구 구로동 ***-* 푸른나래빌서울특별시 구로구 구로중앙로**길 **-** (구로동, 푸른나래빌)8294한신공무관리(주)2024-02-21 17:42:15U2023-12-01 22:03:00.0<NA>189989.634473444307.15658<NA><NA><NA><NA><NA><NA><NA><NA>
131600003160000311999000012010-01-26<NA>1영업/정상11정상<NA><NA><NA><NA>02-869-6465<NA><NA>서울특별시 구로구 오류동 **-* 하늘쉼빌딩서울특별시 구로구 경인로**가길 *, 하늘쉼빌딩 (오류동)8271(주)다보산업관리2024-02-21 13:54:12U2023-12-01 22:03:00.0<NA>186144.880821443706.570674<NA><NA><NA><NA><NA><NA><NA><NA>
2316000031600003119990000220130611<NA>3폐업2폐업20130611<NA><NA><NA>02-2619-0051<NA><NA>서울특별시 구로구 오류동 137-8 대성빌딩서울특별시 구로구 오류로8길 57 (오류동, 대성빌딩)<NA>(주)산청종합관리2015-01-05 21:06:11I2018-08-31 23:59:59.0<NA>186080.434731443371.57096831<NA><NA><NA><NA><NA>사업장 이전저수조청소업
3316000031600003120030000120030304<NA>3폐업2폐업20090320<NA><NA><NA>863-1293<NA><NA>서울특별시 구로구 구로동 106-4 선경오피스텔 1413호서울특별시 구로구 공원로 3, 1413호 (구로동,선경오피스텔)<NA>동양라인2015-01-16 09:33:17I2018-08-31 23:59:59.0<NA>190410.047738443953.50289531<NA><NA><NA><NA><NA><NA>저수조청소업
4316000031600003120040000220040224<NA>3폐업2폐업20040227<NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 165-7서울특별시 구로구 오류로 51 (오류동)<NA>상준환경2015-01-16 09:38:09I2018-08-31 23:59:59.0<NA>185741.502547443033.96616731<NA><NA><NA><NA><NA><NA>저수조청소업
5316000031600003120040000320080104<NA>3폐업2폐업20160921<NA><NA><NA>854-4675<NA><NA>서울특별시 구로구 가리봉동 104-64서울특별시 구로구 우마1길 17 (가리봉동)<NA>한신기공2016-09-22 07:39:37I2018-08-31 23:59:59.0<NA>190055.760048442292.02183631<NA><NA><NA><NA><NA>영업부진저수조청소업
6316000031600003120040000420111229<NA>3폐업2폐업20111229<NA><NA><NA>2632-1851<NA><NA>서울특별시 구로구 구로동 604-1 공구상가 A블럭 8-316서울특별시 구로구 구로중앙로 198, A블럭 8동 316호 (구<NA>화성정수설비공사2015-01-05 21:06:11I2018-08-31 23:59:59.0<NA>189277.761702444671.55173231<NA><NA><NA><NA><NA>사업부진(실적없음)저수조청소업
731600003160000312004000052012-04-17<NA>1영업/정상11정상<NA><NA><NA><NA>895-9905<NA><NA>서울특별시 구로구 구로동 ***-** 종로프라자서울특별시 구로구 구로중앙로 **, 종로프라자 (구로동)8312(주)혜성지엔씨2024-02-21 13:54:52U2023-12-01 22:03:00.0<NA>190339.157793443270.253873<NA><NA><NA><NA><NA><NA><NA><NA>
8316000031600003120050000120041230<NA>3폐업2폐업20110309<NA><NA><NA>02-2684-3942<NA><NA>서울특별시 구로구 오류동 109-1 재도빌딩 310호서울특별시 구로구 경인로 55 (오류동,재도빌딩 310호)<NA>(주)민성산업2015-01-16 09:40:42I2018-08-31 23:59:59.0<NA>184725.79661443238.46932631<NA><NA><NA><NA><NA>2011.3.9 무단폐쇄에 의한 직권취소저수조청소업
931600003160000312005000022017-04-03<NA>1영업/정상11정상<NA><NA><NA><NA>02-2613-0552<NA><NA>서울특별시 구로구 고척동 **-*** 동국종합상가서울특별시 구로구 중앙로*길 **, 동국종합상가 (고척동)8227산하환경개발2024-02-21 17:50:57U2023-12-01 22:03:00.0<NA>187707.22719444029.57053<NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
45316000031600003120190000120200626<NA>3폐업2폐업20201021<NA><NA><NA>02-2008-1873<NA><NA>서울특별시 구로구 구로동 3-25 신도림테크노마트서울특별시 구로구 새말로 97, 신도림테크노마트 지하1층 비에스20호 (구로동)8288(주)풍산씨앤씨2020-10-21 20:08:35U2020-10-23 02:40:00.0<NA>190232.524534444978.68274631<NA><NA><NA><NA><NA>장소이전(송파구)저수조청소업
46316000031600003120190000220221102<NA>3폐업2폐업20201030<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** ***호서울특별시 구로구 구로중앙로**길 **, ***호 (구로동)8294조은환경2022-11-02 10:13:12U2021-11-01 00:04:00.0<NA>190079.75523444239.256427<NA><NA><NA><NA><NA><NA><NA><NA>
4731600003160000312020000012020-10-22<NA>1영업/정상11정상<NA><NA><NA><NA>070-8777-2200<NA><NA>서울특별시 구로구 개봉동 ***-* ,지하*층서울특별시 구로구 고척로**가길 **, 지하*층 (개봉동)8247파인환경2024-03-13 09:27:23U2023-12-02 23:05:00.0<NA>186469.990405444640.492546<NA><NA><NA><NA><NA><NA><NA><NA>
4831600003160000312021000012021-07-08<NA>3폐업2폐업2023-06-07<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 이앤씨벤처드림타워*차 ***호서울특별시 구로구 디지털로**길 **-**, 이앤씨벤처드림타워*차 ***호 (구로동)8376(주)이브컨설팅2023-06-07 14:52:29U2022-12-06 00:09:00.0<NA>190541.499138442708.14086<NA><NA><NA><NA><NA><NA><NA><NA>
49316000031600003120220000120220225<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 197-28 이앤씨벤처드림타워6차서울특별시 구로구 디지털로31길 41, 이앤씨벤처드림타워6차 1101호 (구로동)8375정우e&c2022-04-05 10:07:39U2021-12-04 00:07:00.0<NA>190447.248668442558.310756<NA><NA><NA><NA><NA><NA><NA><NA>
5031600003160000312022000022022-05-19<NA>1영업/정상11정상<NA><NA><NA><NA>02-6404-0414<NA><NA>서울특별시 구로구 고척동 ***-* 고척산업용품종합상가, 가동 다열 ***호서울특별시 구로구 중앙로*길 **, 고척산업용품종합상가, 가동 다열 ***호 (고척동)8225케이제이산업2024-03-18 14:57:49U2023-12-02 22:00:00.0<NA>187619.596959444186.92311<NA><NA><NA><NA><NA><NA><NA><NA>
5131600003160000312023000012023-02-15<NA>1영업/정상11정상<NA><NA><NA><NA>02-2688-8855<NA><NA>서울특별시 구로구 개봉동 *** 삼환아파트서울특별시 구로구 남부순환로**길 **, 상가동 ***호 (개봉동, 삼환아파트)8336(주)세스타2024-02-21 17:46:34U2023-12-01 22:03:00.0<NA>187059.056574443627.002799<NA><NA><NA><NA><NA><NA><NA><NA>
5231600003160000312023000022023-03-15<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 구로기계공구상가서울특별시 구로구 구로중앙로 ***, 구로기계공구상가 A*동 *층 ***호 (구로동)8216화성정수설비공사2024-02-21 17:34:13U2023-12-01 22:03:00.0<NA>189133.785006444562.755976<NA><NA><NA><NA><NA><NA><NA><NA>
5331600003160000312023000032023-07-14<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 **-* 다인빌딩서울특별시 구로구 구로중앙로**길 **, 다인빌딩 ***호 (구로동)8302(주)부경이엠2024-02-21 14:49:56U2023-12-01 22:03:00.0<NA>190418.759352443803.304336<NA><NA><NA><NA><NA><NA><NA><NA>
5431600003160000312023000042023-08-30<NA>1영업/정상11정상<NA><NA><NA><NA>02-835-0574<NA><NA>서울특별시 구로구 구로동 ***-** 동남오피스텔서울특별시 구로구 가마산로 ***, 동남오피스텔 ***호 (구로동)8301선유건설2024-02-21 17:27:43U2023-12-01 22:03:00.0<NA>190295.141465443841.455441<NA><NA><NA><NA><NA><NA><NA><NA>