Overview

Dataset statistics

Number of variables30
Number of observations35
Missing cells351
Missing cells (%)33.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory260.8 B

Variable types

Categorical7
Numeric6
DateTime3
Unsupported8
Text6

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),사용목적,사용방법,월사용량,수용정원수,시설사용여부
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-19119/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 35 (100.0%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
전화번호 has 21 (60.0%) missing valuesMissing
소재지면적 has 35 (100.0%) missing valuesMissing
소재지우편번호 has 35 (100.0%) missing valuesMissing
도로명주소 has 4 (11.4%) missing valuesMissing
도로명우편번호 has 22 (62.9%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
좌표정보(X) has 2 (5.7%) missing valuesMissing
좌표정보(Y) has 2 (5.7%) missing valuesMissing
사용목적 has 5 (14.3%) missing valuesMissing
사용방법 has 5 (14.3%) missing valuesMissing
월사용량 has 5 (14.3%) missing valuesMissing
수용정원수 has 5 (14.3%) missing valuesMissing
시설사용여부 has 35 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설사용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월사용량 has 11 (31.4%) zerosZeros
수용정원수 has 16 (45.7%) zerosZeros

Reproduction

Analysis started2024-05-11 08:29:43.186122
Analysis finished2024-05-11 08:29:43.528514
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
3170000
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 35
100.0%

Length

2024-05-11T17:29:43.584079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:43.672427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 35
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0126027 × 1018
Minimum2.001317 × 1018
Maximum2.024317 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T17:29:43.755401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001317 × 1018
5-th percentile2.001317 × 1018
Q12.001317 × 1018
median2.016317 × 1018
Q32.020817 × 1018
95-th percentile2.023317 × 1018
Maximum2.024317 × 1018
Range2.300002 × 1016
Interquartile range (IQR)1.9500017 × 1016

Descriptive statistics

Standard deviation9.3449382 × 1015
Coefficient of variation (CV)0.0046432105
Kurtosis-1.8426422
Mean2.0126027 × 1018
Median Absolute Deviation (MAD)7.0000038 × 1015
Skewness-0.25357626
Sum-3.3458808 × 1018
Variance8.7327869 × 1031
MonotonicityStrictly increasing
2024-05-11T17:29:43.864501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2001317006702700001 1
 
2.9%
2001317006702700002 1
 
2.9%
2019317015012200002 1
 
2.9%
2019317015012200003 1
 
2.9%
2019317015012200004 1
 
2.9%
2020317023912200001 1
 
2.9%
2020317023912200002 1
 
2.9%
2020317023912200003 1
 
2.9%
2021317023912200001 1
 
2.9%
2021317023912200002 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
2001317006702700001 1
2.9%
2001317006702700002 1
2.9%
2001317006702700003 1
2.9%
2001317006702700004 1
2.9%
2001317006702700005 1
2.9%
2001317006702700006 1
2.9%
2001317006702700007 1
2.9%
2001317006702700008 1
2.9%
2001317006702700009 1
2.9%
2001317006702700010 1
2.9%
ValueCountFrequency (%)
2024317026712200001 1
2.9%
2023317026712200002 1
2.9%
2023317026712200001 1
2.9%
2022317026712200001 1
2.9%
2022317023912200002 1
2.9%
2022317023912200001 1
2.9%
2021317023912200003 1
2.9%
2021317023912200002 1
2.9%
2021317023912200001 1
2.9%
2020317023912200003 1
2.9%

인허가일자
Date

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1987-08-17 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T17:29:43.973637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:44.082515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
17 
2
11 
3
7 

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 (%)
1 17
48.6%
2 11
31.4%
3 7
20.0%

Length

2024-05-11T17:29:44.184022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:44.280611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
48.6%
2 11
31.4%
3 7
20.0%

영업상태명
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업/정상
17 
휴업
11 
폐업
7 

Length

Max length5
Median length2
Mean length3.4571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
48.6%
휴업 11
31.4%
폐업 7
20.0%

Length

2024-05-11T17:29:44.378069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:44.468828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
48.6%
휴업 11
31.4%
폐업 7
20.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
BBBB
15 
1
13 
2
7 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 15
42.9%
1 13
37.1%
2 7
20.0%

Length

2024-05-11T17:29:44.569344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:44.655087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 15
42.9%
1 13
37.1%
2 7
20.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
15 
휴업처리
11 
폐업처리
7 
사용중
2 

Length

Max length4
Median length4
Mean length3.9428571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
42.9%
휴업처리 11
31.4%
폐업처리 7
20.0%
사용중 2
 
5.7%

Length

2024-05-11T17:29:44.766241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:45.119797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
42.9%
휴업처리 11
31.4%
폐업처리 7
20.0%
사용중 2
 
5.7%

폐업일자
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
28 
20140515
7 

Length

Max length8
Median length4
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20140515
2nd row20140515
3rd row<NA>
4th row<NA>
5th row20140515

Common Values

ValueCountFrequency (%)
<NA> 28
80.0%
20140515 7
 
20.0%

Length

2024-05-11T17:29:45.235252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:45.333755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
80.0%
20140515 7
 
20.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)85.7%
Missing21
Missing (%)60.0%
Memory size412.0 B
2024-05-11T17:29:45.443650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters140
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

Unique11 ?
Unique (%)78.6%

Sample

1st row02 8696921
2nd row02 8567181
3rd row02 8565711
4th row02 8565175
5th row02 8189722
ValueCountFrequency (%)
02 14
50.0%
8189722 3
 
10.7%
8696921 1
 
3.6%
8567181 1
 
3.6%
8565711 1
 
3.6%
8565175 1
 
3.6%
8081236 1
 
3.6%
8061922 1
 
3.6%
8049125 1
 
3.6%
8909125 1
 
3.6%
Other values (3) 3
 
10.7%
2024-05-11T17:29:45.685074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 27
19.3%
0 26
18.6%
8 22
15.7%
14
10.0%
1 13
9.3%
9 9
 
6.4%
7 9
 
6.4%
5 8
 
5.7%
6 7
 
5.0%
4 3
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
90.0%
Space Separator 14
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
21.4%
0 26
20.6%
8 22
17.5%
1 13
10.3%
9 9
 
7.1%
7 9
 
7.1%
5 8
 
6.3%
6 7
 
5.6%
4 3
 
2.4%
3 2
 
1.6%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 27
19.3%
0 26
18.6%
8 22
15.7%
14
10.0%
1 13
9.3%
9 9
 
6.4%
7 9
 
6.4%
5 8
 
5.7%
6 7
 
5.0%
4 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 27
19.3%
0 26
18.6%
8 22
15.7%
14
10.0%
1 13
9.3%
9 9
 
6.4%
7 9
 
6.4%
5 8
 
5.7%
6 7
 
5.0%
4 3
 
2.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

지번주소
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T17:29:45.857283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length23.342857
Min length19

Characters and Unicode

Total characters817
Distinct characters60
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

Unique28 ?
Unique (%)80.0%

Sample

1st row서울특별시 금천구 가산동 685번지
2nd row서울특별시 금천구 가산동 60-18번지
3rd row서울특별시 금천구 가산동 356-1번지
4th row서울특별시 금천구 가산동 429-1번지
5th row서울특별시 금천구 가산동 60-8번지
ValueCountFrequency (%)
서울특별시 35
23.2%
금천구 35
23.2%
가산동 20
13.2%
시흥동 8
 
5.3%
독산동 8
 
5.3%
60-8번지 3
 
2.0%
547-15번지 2
 
1.3%
1031번지 2
 
1.3%
882-31번지 2
 
1.3%
426-5 1
 
0.7%
Other values (35) 35
23.2%
2024-05-11T17:29:46.164181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
17.9%
시 43
 
5.3%
동 36
 
4.4%
서 35
 
4.3%
천 35
 
4.3%
울 35
 
4.3%
구 35
 
4.3%
금 35
 
4.3%
별 35
 
4.3%
특 35
 
4.3%
Other values (50) 347
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
58.9%
Decimal Number 157
 
19.2%
Space Separator 146
 
17.9%
Dash Punctuation 31
 
3.8%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 43
 
8.9%
동 36
 
7.5%
서 35
 
7.3%
천 35
 
7.3%
울 35
 
7.3%
구 35
 
7.3%
금 35
 
7.3%
별 35
 
7.3%
특 35
 
7.3%
산 31
 
6.4%
Other values (36) 126
26.2%
Decimal Number
ValueCountFrequency (%)
1 31
19.7%
3 24
15.3%
2 18
11.5%
0 15
9.6%
6 15
9.6%
9 13
8.3%
5 11
 
7.0%
8 11
 
7.0%
4 10
 
6.4%
7 9
 
5.7%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
58.9%
Common 336
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 43
 
8.9%
동 36
 
7.5%
서 35
 
7.3%
천 35
 
7.3%
울 35
 
7.3%
구 35
 
7.3%
금 35
 
7.3%
별 35
 
7.3%
특 35
 
7.3%
산 31
 
6.4%
Other values (36) 126
26.2%
Common
ValueCountFrequency (%)
146
43.5%
- 31
 
9.2%
1 31
 
9.2%
3 24
 
7.1%
2 18
 
5.4%
0 15
 
4.5%
6 15
 
4.5%
9 13
 
3.9%
5 11
 
3.3%
8 11
 
3.3%
Other values (4) 21
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
58.9%
ASCII 336
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
43.5%
- 31
 
9.2%
1 31
 
9.2%
3 24
 
7.1%
2 18
 
5.4%
0 15
 
4.5%
6 15
 
4.5%
9 13
 
3.9%
5 11
 
3.3%
8 11
 
3.3%
Other values (4) 21
 
6.2%
Hangul
ValueCountFrequency (%)
시 43
 
8.9%
동 36
 
7.5%
서 35
 
7.3%
천 35
 
7.3%
울 35
 
7.3%
구 35
 
7.3%
금 35
 
7.3%
별 35
 
7.3%
특 35
 
7.3%
산 31
 
6.4%
Other values (36) 126
26.2%

도로명주소
Text

MISSING 

Distinct27
Distinct (%)87.1%
Missing4
Missing (%)11.4%
Memory size412.0 B
2024-05-11T17:29:46.361585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length27.193548
Min length22

Characters and Unicode

Total characters843
Distinct characters67
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

Unique24 ?
Unique (%)77.4%

Sample

1st row서울특별시 금천구 범안로 1130 (가산동)
2nd row서울특별시 금천구 디지털로9길 47 (가산동)
3rd row서울특별시 금천구 가산디지털1로 78 (가산동)
4th row서울특별시 금천구 가산디지털2로 108 (가산동)
5th row서울특별시 금천구 디지털로10길 9 (가산동)
ValueCountFrequency (%)
서울특별시 31
19.1%
금천구 31
19.1%
가산동 18
 
11.1%
독산동 7
 
4.3%
가산디지털2로 6
 
3.7%
시흥동 6
 
3.7%
가산디지털1로 4
 
2.5%
디지털로10길 3
 
1.9%
9 3
 
1.9%
244 2
 
1.2%
Other values (47) 51
31.5%
2024-05-11T17:29:46.682702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
15.5%
시 44
 
5.2%
산 40
 
4.7%
( 32
 
3.8%
) 32
 
3.8%
구 31
 
3.7%
동 31
 
3.7%
로 31
 
3.7%
서 31
 
3.7%
특 31
 
3.7%
Other values (57) 409
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
61.7%
Space Separator 131
 
15.5%
Decimal Number 120
 
14.2%
Open Punctuation 32
 
3.8%
Close Punctuation 32
 
3.8%
Dash Punctuation 4
 
0.5%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 44
 
8.5%
산 40
 
7.7%
구 31
 
6.0%
동 31
 
6.0%
로 31
 
6.0%
서 31
 
6.0%
특 31
 
6.0%
금 31
 
6.0%
별 31
 
6.0%
울 31
 
6.0%
Other values (42) 188
36.2%
Decimal Number
ValueCountFrequency (%)
1 28
23.3%
2 25
20.8%
0 11
 
9.2%
3 11
 
9.2%
7 10
 
8.3%
4 9
 
7.5%
9 8
 
6.7%
6 7
 
5.8%
8 7
 
5.8%
5 4
 
3.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
61.7%
Common 323
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 44
 
8.5%
산 40
 
7.7%
구 31
 
6.0%
동 31
 
6.0%
로 31
 
6.0%
서 31
 
6.0%
특 31
 
6.0%
금 31
 
6.0%
별 31
 
6.0%
울 31
 
6.0%
Other values (42) 188
36.2%
Common
ValueCountFrequency (%)
131
40.6%
( 32
 
9.9%
) 32
 
9.9%
1 28
 
8.7%
2 25
 
7.7%
0 11
 
3.4%
3 11
 
3.4%
7 10
 
3.1%
4 9
 
2.8%
9 8
 
2.5%
Other values (5) 26
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
61.7%
ASCII 323
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
40.6%
( 32
 
9.9%
) 32
 
9.9%
1 28
 
8.7%
2 25
 
7.7%
0 11
 
3.4%
3 11
 
3.4%
7 10
 
3.1%
4 9
 
2.8%
9 8
 
2.5%
Other values (5) 26
 
8.0%
Hangul
ValueCountFrequency (%)
시 44
 
8.5%
산 40
 
7.7%
구 31
 
6.0%
동 31
 
6.0%
로 31
 
6.0%
서 31
 
6.0%
특 31
 
6.0%
금 31
 
6.0%
별 31
 
6.0%
울 31
 
6.0%
Other values (42) 188
36.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing22
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean8551.6923
Minimum8501
Maximum8626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T17:29:46.795208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8501
5-th percentile8502.8
Q18505
median8547
Q38594
95-th percentile8618.2
Maximum8626
Range125
Interquartile range (IQR)89

Descriptive statistics

Standard deviation49.029557
Coefficient of variation (CV)0.0057333163
Kurtosis-1.759525
Mean8551.6923
Median Absolute Deviation (MAD)43
Skewness0.37149204
Sum111172
Variance2403.8974
MonotonicityNot monotonic
2024-05-11T17:29:46.887341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8613 2
 
5.7%
8505 2
 
5.7%
8626 1
 
2.9%
8501 1
 
2.9%
8547 1
 
2.9%
8594 1
 
2.9%
8513 1
 
2.9%
8592 1
 
2.9%
8504 1
 
2.9%
8511 1
 
2.9%
(Missing) 22
62.9%
ValueCountFrequency (%)
8501 1
2.9%
8504 1
2.9%
8505 2
5.7%
8511 1
2.9%
8513 1
2.9%
8547 1
2.9%
8548 1
2.9%
8592 1
2.9%
8594 1
2.9%
8613 2
5.7%
ValueCountFrequency (%)
8626 1
2.9%
8613 2
5.7%
8594 1
2.9%
8592 1
2.9%
8548 1
2.9%
8547 1
2.9%
8513 1
2.9%
8511 1
2.9%
8505 2
5.7%
8504 1
2.9%

사업장명
Text

Distinct29
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T17:29:47.069972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.0285714
Min length3

Characters and Unicode

Total characters281
Distinct characters104
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

Unique24 ?
Unique (%)68.6%

Sample

1st row대림금속(주)
2nd row(주)비티아이
3rd row영신금속공업
4th row신한밸브공업(주)
5th row(주)대우전자구로공장
ValueCountFrequency (%)
주)대우전자구로공장 3
 
6.5%
주)한성토건 2
 
4.3%
일성토건(주 2
 
4.3%
sk건설 2
 
4.3%
현장 2
 
4.3%
파라솔요양병원 2
 
4.3%
희명병원 2
 
4.3%
주식회사 1
 
2.2%
신한에스앤지 1
 
2.2%
새한기업(주 1
 
2.2%
Other values (28) 28
60.9%
2024-05-11T17:29:47.370209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 17
 
6.0%
( 16
 
5.7%
) 16
 
5.7%
11
 
3.9%
한 8
 
2.8%
건 8
 
2.8%
공 7
 
2.5%
병 6
 
2.1%
업 6
 
2.1%
대 6
 
2.1%
Other values (94) 180
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
77.9%
Open Punctuation 16
 
5.7%
Close Punctuation 16
 
5.7%
Uppercase Letter 12
 
4.3%
Space Separator 11
 
3.9%
Lowercase Letter 5
 
1.8%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
7.8%
한 8
 
3.7%
건 8
 
3.7%
공 7
 
3.2%
병 6
 
2.7%
업 6
 
2.7%
대 6
 
2.7%
원 6
 
2.7%
장 5
 
2.3%
산 4
 
1.8%
Other values (76) 146
66.7%
Uppercase Letter
ValueCountFrequency (%)
K 3
25.0%
S 3
25.0%
N 1
 
8.3%
E 1
 
8.3%
G 1
 
8.3%
V 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
t 1
20.0%
o 1
20.0%
w 1
20.0%
e 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
77.9%
Common 45
 
16.0%
Latin 17
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
7.8%
한 8
 
3.7%
건 8
 
3.7%
공 7
 
3.2%
병 6
 
2.7%
업 6
 
2.7%
대 6
 
2.7%
원 6
 
2.7%
장 5
 
2.3%
산 4
 
1.8%
Other values (76) 146
66.7%
Latin
ValueCountFrequency (%)
K 3
17.6%
S 3
17.6%
N 1
 
5.9%
E 1
 
5.9%
G 1
 
5.9%
r 1
 
5.9%
V 1
 
5.9%
A 1
 
5.9%
P 1
 
5.9%
t 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
( 16
35.6%
) 16
35.6%
11
24.4%
2 1
 
2.2%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
77.9%
ASCII 62
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 17
 
7.8%
한 8
 
3.7%
건 8
 
3.7%
공 7
 
3.2%
병 6
 
2.7%
업 6
 
2.7%
대 6
 
2.7%
원 6
 
2.7%
장 5
 
2.3%
산 4
 
1.8%
Other values (76) 146
66.7%
ASCII
ValueCountFrequency (%)
( 16
25.8%
) 16
25.8%
11
17.7%
K 3
 
4.8%
S 3
 
4.8%
N 1
 
1.6%
E 1
 
1.6%
G 1
 
1.6%
2 1
 
1.6%
r 1
 
1.6%
Other values (8) 8
12.9%

최종수정일자
Date

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2011-11-28 14:03:38
Maximum2024-04-03 10:22:30
2024-05-11T17:29:47.483462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:47.607563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
I
31 
U
4 

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 31
88.6%
U 4
 
11.4%

Length

2024-05-11T17:29:47.723911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:47.812777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
88.6%
u 4
 
11.4%

데이터갱신일자
Date

Distinct19
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T17:29:47.893035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:48.010968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)87.9%
Missing2
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean190165.83
Minimum189031.67
Maximum191659.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T17:29:48.127725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189031.67
5-th percentile189132.88
Q1189685.52
median190119.46
Q3190779.41
95-th percentile191263.99
Maximum191659.51
Range2627.8421
Interquartile range (IQR)1093.891

Descriptive statistics

Standard deviation726.22866
Coefficient of variation (CV)0.003818923
Kurtosis-0.84611006
Mean190165.83
Median Absolute Deviation (MAD)570.17115
Skewness0.21418924
Sum6275472.3
Variance527408.06
MonotonicityNot monotonic
2024-05-11T17:29:48.260009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
190119.463375612 3
 
8.6%
191137.455219209 2
 
5.7%
189132.87566 2
 
5.7%
190021.956927088 1
 
2.9%
191023.799863785 1
 
2.9%
189592.298932923 1
 
2.9%
191659.51307314 1
 
2.9%
190926.533369668 1
 
2.9%
190808.08265954 1
 
2.9%
189685.516219475 1
 
2.9%
Other values (19) 19
54.3%
(Missing) 2
 
5.7%
ValueCountFrequency (%)
189031.670933573 1
2.9%
189132.87566 2
5.7%
189202.181652324 1
2.9%
189202.600232089 1
2.9%
189282.642165078 1
2.9%
189364.095969911 1
2.9%
189592.298932923 1
2.9%
189685.516219475 1
2.9%
189686.475000033 1
2.9%
189834.383375802 1
2.9%
ValueCountFrequency (%)
191659.51307314 1
2.9%
191453.803581813 1
2.9%
191137.455219209 2
5.7%
191023.799863785 1
2.9%
190959.277765513 1
2.9%
190926.533369668 1
2.9%
190808.08265954 1
2.9%
190779.407206028 1
2.9%
190689.634523669 1
2.9%
190610.17136136 1
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)87.9%
Missing2
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean440974.46
Minimum438851.05
Maximum442562.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T17:29:48.361762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438851.05
5-th percentile439260.67
Q1440368.09
median441184.69
Q3441848.24
95-th percentile442111.86
Maximum442562.72
Range3711.6708
Interquartile range (IQR)1480.1487

Descriptive statistics

Standard deviation1017.2084
Coefficient of variation (CV)0.0023067287
Kurtosis-0.71647626
Mean440974.46
Median Absolute Deviation (MAD)666.66062
Skewness-0.58532795
Sum14552157
Variance1034713
MonotonicityNot monotonic
2024-05-11T17:29:48.472992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
441716.684586176 3
 
8.6%
439289.513727463 2
 
5.7%
441851.347445 2
 
5.7%
440609.209534256 1
 
2.9%
439256.242030665 1
 
2.9%
440864.781725973 1
 
2.9%
441984.502153591 1
 
2.9%
439650.132669285 1
 
2.9%
440368.09430026 1
 
2.9%
442026.468974479 1
 
2.9%
Other values (19) 19
54.3%
(Missing) 2
 
5.7%
ValueCountFrequency (%)
438851.051916362 1
2.9%
439256.242030665 1
2.9%
439263.6214305 1
2.9%
439289.513727463 2
5.7%
439650.132669285 1
2.9%
440325.083640135 1
2.9%
440363.954453659 1
2.9%
440368.09430026 1
2.9%
440454.568265703 1
2.9%
440562.39486547 1
2.9%
ValueCountFrequency (%)
442562.722742062 1
 
2.9%
442239.943267799 1
 
2.9%
442026.468974479 1
 
2.9%
441984.502153591 1
 
2.9%
441938.326056501 1
 
2.9%
441879.189417626 1
 
2.9%
441851.347445 2
5.7%
441848.24299943 1
 
2.9%
441746.981529543 1
 
2.9%
441716.684586176 3
8.6%

사용목적
Text

MISSING 

Distinct16
Distinct (%)53.3%
Missing5
Missing (%)14.3%
Memory size412.0 B
2024-05-11T17:29:48.612307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.5666667
Min length1

Characters and Unicode

Total characters137
Distinct characters43
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

Unique12 ?
Unique (%)40.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 10
22.7%
열처리용 4
 
9.1%
의료용산소 2
 
4.5%
철근 2
 
4.5%
가스압접 2
 
4.5%
및 2
 
4.5%
절단 2
 
4.5%
공급 2
 
4.5%
환자 1
 
2.3%
철골 1
 
2.3%
Other values (16) 16
36.4%
2024-05-11T17:29:48.878348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 15
 
10.9%
14
 
10.2%
0 10
 
7.3%
단 7
 
5.1%
리 6
 
4.4%
처 5
 
3.6%
열 5
 
3.6%
업 4
 
2.9%
접 4
 
2.9%
가 4
 
2.9%
Other values (33) 63
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
80.3%
Space Separator 14
 
10.2%
Decimal Number 10
 
7.3%
Close Punctuation 1
 
0.7%
Other Punctuation 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 15
 
13.6%
단 7
 
6.4%
리 6
 
5.5%
처 5
 
4.5%
열 5
 
4.5%
업 4
 
3.6%
접 4
 
3.6%
가 4
 
3.6%
공 4
 
3.6%
철 4
 
3.6%
Other values (28) 52
47.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Decimal Number
ValueCountFrequency (%)
0 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
80.3%
Common 27
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 15
 
13.6%
단 7
 
6.4%
리 6
 
5.5%
처 5
 
4.5%
열 5
 
4.5%
업 4
 
3.6%
접 4
 
3.6%
가 4
 
3.6%
공 4
 
3.6%
철 4
 
3.6%
Other values (28) 52
47.3%
Common
ValueCountFrequency (%)
14
51.9%
0 10
37.0%
) 1
 
3.7%
, 1
 
3.7%
( 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
80.3%
ASCII 27
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 15
 
13.6%
단 7
 
6.4%
리 6
 
5.5%
처 5
 
4.5%
열 5
 
4.5%
업 4
 
3.6%
접 4
 
3.6%
가 4
 
3.6%
공 4
 
3.6%
철 4
 
3.6%
Other values (28) 52
47.3%
ASCII
ValueCountFrequency (%)
14
51.9%
0 10
37.0%
) 1
 
3.7%
, 1
 
3.7%
( 1
 
3.7%

사용방법
Text

MISSING 

Distinct19
Distinct (%)63.3%
Missing5
Missing (%)14.3%
Memory size412.0 B
2024-05-11T17:29:49.028077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9.5
Mean length5.0333333
Min length1

Characters and Unicode

Total characters151
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)53.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 10
19.2%
및 3
 
5.8%
열처리 3
 
5.8%
가스압접 2
 
3.8%
열처리용 2
 
3.8%
철근 2
 
3.8%
융단작업 2
 
3.8%
산소 2
 
3.8%
절단 2
 
3.8%
용단 1
 
1.9%
Other values (23) 23
44.2%
2024-05-11T17:29:49.269249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
14.6%
용 11
 
7.3%
0 10
 
6.6%
단 7
 
4.6%
열 5
 
3.3%
처 5
 
3.3%
리 5
 
3.3%
철 4
 
2.6%
및 4
 
2.6%
소 4
 
2.6%
Other values (45) 74
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
77.5%
Space Separator 22
 
14.6%
Decimal Number 10
 
6.6%
Other Punctuation 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 11
 
9.4%
단 7
 
6.0%
열 5
 
4.3%
처 5
 
4.3%
리 5
 
4.3%
철 4
 
3.4%
및 4
 
3.4%
소 4
 
3.4%
접 4
 
3.4%
작 3
 
2.6%
Other values (42) 65
55.6%
Space Separator
ValueCountFrequency (%)
22
100.0%
Decimal Number
ValueCountFrequency (%)
0 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
77.5%
Common 34
 
22.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 11
 
9.4%
단 7
 
6.0%
열 5
 
4.3%
처 5
 
4.3%
리 5
 
4.3%
철 4
 
3.4%
및 4
 
3.4%
소 4
 
3.4%
접 4
 
3.4%
작 3
 
2.6%
Other values (42) 65
55.6%
Common
ValueCountFrequency (%)
22
64.7%
0 10
29.4%
, 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
77.5%
ASCII 34
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
64.7%
0 10
29.4%
, 2
 
5.9%
Hangul
ValueCountFrequency (%)
용 11
 
9.4%
단 7
 
6.0%
열 5
 
4.3%
처 5
 
4.3%
리 5
 
4.3%
철 4
 
3.4%
및 4
 
3.4%
소 4
 
3.4%
접 4
 
3.4%
작 3
 
2.6%
Other values (42) 65
55.6%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)50.0%
Missing5
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean510.86667
Minimum0
Maximum4000
Zeros11
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T17:29:49.386163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3369.25
95-th percentile2275
Maximum4000
Range4000
Interquartile range (IQR)369.25

Descriptive statistics

Standard deviation923.15496
Coefficient of variation (CV)1.807037
Kurtosis6.6175634
Mean510.86667
Median Absolute Deviation (MAD)120
Skewness2.5107632
Sum15326
Variance852215.09
MonotonicityNot monotonic
2024-05-11T17:29:49.492400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 11
31.4%
200 2
 
5.7%
2275 2
 
5.7%
1500 2
 
5.7%
80 2
 
5.7%
210 2
 
5.7%
100 1
 
2.9%
250 1
 
2.9%
400 1
 
2.9%
800 1
 
2.9%
Other values (5) 5
14.3%
(Missing) 5
14.3%
ValueCountFrequency (%)
0 11
31.4%
80 2
 
5.7%
99 1
 
2.9%
100 1
 
2.9%
140 1
 
2.9%
200 2
 
5.7%
210 2
 
5.7%
250 1
 
2.9%
277 1
 
2.9%
400 1
 
2.9%
ValueCountFrequency (%)
4000 1
2.9%
2275 2
5.7%
1500 2
5.7%
800 1
2.9%
730 1
2.9%
400 1
2.9%
277 1
2.9%
250 1
2.9%
210 2
5.7%
200 2
5.7%

수용정원수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)23.3%
Missing5
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean25.866667
Minimum0
Maximum300
Zeros16
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T17:29:49.592289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.5
95-th percentile210
Maximum300
Range300
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation76.677441
Coefficient of variation (CV)2.964334
Kurtosis10.570656
Mean25.866667
Median Absolute Deviation (MAD)0
Skewness3.3808983
Sum776
Variance5879.4299
MonotonicityNot monotonic
2024-05-11T17:29:49.693793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
45.7%
6 5
 
14.3%
8 3
 
8.6%
10 2
 
5.7%
300 2
 
5.7%
2 1
 
2.9%
100 1
 
2.9%
(Missing) 5
 
14.3%
ValueCountFrequency (%)
0 16
45.7%
2 1
 
2.9%
6 5
 
14.3%
8 3
 
8.6%
10 2
 
5.7%
100 1
 
2.9%
300 2
 
5.7%
ValueCountFrequency (%)
300 2
 
5.7%
100 1
 
2.9%
10 2
 
5.7%
8 3
 
8.6%
6 5
 
14.3%
2 1
 
2.9%
0 16
45.7%

시설사용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
03170000200131700670270000119870817<NA>3폐업2폐업처리20140515<NA><NA><NA>02 8696921<NA><NA>서울특별시 금천구 가산동 685번지서울특별시 금천구 범안로 1130 (가산동)<NA>대림금속(주)2014-06-10 13:18:03I2018-08-31 23:59:59.0<NA>189978.050926440363.9544540000<NA>
13170000200131700670270000219891011<NA>3폐업2폐업처리20140515<NA><NA><NA>02 8567181<NA><NA>서울특별시 금천구 가산동 60-18번지서울특별시 금천구 디지털로9길 47 (가산동)<NA>(주)비티아이2014-06-10 13:17:12I2018-08-31 23:59:59.0<NA>189834.383376441938.3260570000<NA>
23170000200131700670270000319910115<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 8565711<NA><NA>서울특별시 금천구 가산동 356-1번지서울특별시 금천구 가산디지털1로 78 (가산동)<NA>영신금속공업2011-11-28 15:05:06I2018-08-31 23:59:59.0<NA>189877.41639441184.6868290000<NA>
33170000200131700670270000419880331<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 8565175<NA><NA>서울특별시 금천구 가산동 429-1번지서울특별시 금천구 가산디지털2로 108 (가산동)<NA>신한밸브공업(주)2011-11-28 14:38:39I2018-08-31 23:59:59.0<NA>189364.09597441746.981530000<NA>
43170000200131700670270000519910209<NA>3폐업2폐업처리20140515<NA><NA><NA>02 8189722<NA><NA>서울특별시 금천구 가산동 60-8번지서울특별시 금천구 디지털로10길 9 (가산동)<NA>(주)대우전자구로공장2014-06-10 13:15:53I2018-08-31 23:59:59.0<NA>190119.463376441716.6845860000<NA>
53170000200131700670270000619910209<NA>3폐업2폐업처리20140515<NA><NA><NA>02 8189722<NA><NA>서울특별시 금천구 가산동 60-8번지서울특별시 금천구 디지털로10길 9 (가산동)<NA>(주)대우전자구로공장2014-06-10 13:27:47I2018-08-31 23:59:59.0<NA>190119.463376441716.6845860000<NA>
63170000200131700670270000719910209<NA>3폐업2폐업처리20140515<NA><NA><NA>02 8189722<NA><NA>서울특별시 금천구 가산동 60-8번지서울특별시 금천구 디지털로10길 9 (가산동)<NA>(주)대우전자구로공장2014-06-10 13:28:51I2018-08-31 23:59:59.0<NA>190119.463376441716.6845860000<NA>
73170000200131700670270000819890610<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 8081236<NA><NA>서울특별시 금천구 독산동 292-21번지서울특별시 금천구 범안로21길 28 (독산동)<NA>제일써비스2011-11-28 14:36:18I2018-08-31 23:59:59.0<NA>190779.407206440618.3712260000<NA>
83170000200131700670270000919891220<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 8061922<NA><NA>서울특별시 금천구 독산동 1004-12번지서울특별시 금천구 벚꽃로12길 5 (독산동)<NA>삼보공업사2011-11-28 15:02:00I2018-08-31 23:59:59.0<NA>190258.040066440325.083640000<NA>
93170000200131700670270001019890801<NA>2휴업1휴업처리<NA><NA><NA><NA>02 8049125<NA><NA>서울특별시 금천구 시흥동 996-3서울특별시 금천구 시흥대로51길 20 (시흥동)<NA>기아(주) 시흥서비스센터2021-04-08 20:54:53U2021-04-10 02:40:00.0<NA>190959.277766438851.051916공업용산소, 아세틸렌00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
253170000202031702391220000320201228<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 549-1 한라원앤원지식산업센터서울특별시 금천구 디지털로 121 (가산동)8505(주)유진건철2020-12-28 13:05:26I2020-12-30 00:23:06.0<NA>189282.642165441654.484591절단, 융단작업절단, 융단작업1408<NA>
263170000202131702391220000120210208<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 426-5 월드메르디앙2차서울특별시 금천구 가산디지털2로 123, 월드메르디앙2차 1016호 (가산동)8505현대엔지니어링2021-02-08 16:32:36I2021-02-10 00:23:02.0<NA>189202.600232441848.242999용단작업융단작업2776<NA>
273170000202131702391220000220210419<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 327-32 가산동 327-30서울특별시 금천구 가산디지털2로 14 (가산동)8592(주)이오산업개발2021-04-27 15:41:30U2021-04-29 02:40:00.0<NA>189686.475440870.092609가시설공사(빔용접 및 빔절단)빔용접 및 빔절단9910<NA>
283170000202131702391220000320211125<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 459-21서울특별시 금천구 가산디지털2로 169-23 (가산동)8504일성토건(주)2021-11-25 13:14:36I2021-11-27 00:22:44.0<NA>189031.670934442239.943268철근 가스압접철근 가스압접2106<NA>
293170000202231702391220000120220110<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-15 삼성리더스타워서울특별시 금천구 벚꽃로 286, 공사현장 (가산동)8511일성토건(주)2022-01-10 09:23:59I2022-01-13 00:22:41.0<NA>189685.516219442026.468974철근 가스압접철근 가스압접2106<NA>
303170000202231702391220000220220627<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1008-11 외 2필지<NA><NA>삼영ENG2022-06-27 10:48:11I2021-12-05 22:09:00.0<NA>190808.08266440368.0943<NA><NA><NA><NA><NA>
313170000202231702671220000120220929<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 113-16<NA><NA>써포텍2022-09-29 15:19:47I2021-10-31 00:01:00.0<NA>190926.53337439650.132669<NA><NA><NA><NA><NA>
323170000202331702671220000120230117<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 899-6서울특별시 금천구 남부순환로 1400 (독산동)8548금천수요양병원2023-01-17 12:55:34I2022-11-30 23:09:00.0<NA>191659.513073441984.502154<NA><NA><NA><NA><NA>
33317000020233170267122000022023-08-21<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 343-7<NA><NA>새한기업(주)2023-08-21 13:30:33I2022-12-07 22:03:00.0<NA>189592.298933440864.781726<NA><NA><NA><NA><NA>
34317000020243170267122000012024-04-03<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 103-3<NA><NA>주식회사 보림건설2024-04-03 10:22:30I2023-12-04 00:05:00.0<NA>191023.799864439256.242031<NA><NA><NA><NA><NA>