Overview

Dataset statistics

Number of variables30
Number of observations69
Missing cells973
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.4 KiB
Average record size in memory257.9 B

Variable types

Categorical8
Numeric6
DateTime3
Unsupported8
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),사용목적,사용방법,월사용량,수용정원수,시설사용여부
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-19104/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.6%)Imbalance
영업상태명 is highly imbalanced (51.6%)Imbalance
상세영업상태명 is highly imbalanced (56.3%)Imbalance
데이터갱신일자 is highly imbalanced (52.8%)Imbalance
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 61 (88.4%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
전화번호 has 22 (31.9%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 69 (100.0%) missing valuesMissing
지번주소 has 5 (7.2%) missing valuesMissing
도로명주소 has 44 (63.8%) missing valuesMissing
도로명우편번호 has 56 (81.2%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
좌표정보(X) has 40 (58.0%) missing valuesMissing
좌표정보(Y) has 40 (58.0%) missing valuesMissing
사용방법 has 51 (73.9%) missing valuesMissing
월사용량 has 51 (73.9%) missing valuesMissing
수용정원수 has 51 (73.9%) missing valuesMissing
시설사용여부 has 69 (100.0%) 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
시설사용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월사용량 has 1 (1.4%) zerosZeros
수용정원수 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:14:46.106498
Analysis finished2024-05-11 06:14:46.635888
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
3020000
69 

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 69
100.0%

Length

2024-05-11T15:14:46.719222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:46.867912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 69
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.00736 × 1018
Minimum2.001302 × 1018
Maximum2.024302 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:14:47.017684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001302 × 1018
5-th percentile2.001302 × 1018
Q12.001302 × 1018
median2.001302 × 1018
Q32.017302 × 1018
95-th percentile2.021902 × 1018
Maximum2.024302 × 1018
Range2.3000014 × 1016
Interquartile range (IQR)1.6000008 × 1016

Descriptive statistics

Standard deviation8.7529609 × 1015
Coefficient of variation (CV)0.0043604341
Kurtosis-1.1911501
Mean2.00736 × 1018
Median Absolute Deviation (MAD)0
Skewness0.84590558
Sum-9.0661138 × 1018
Variance7.6614324 × 1031
MonotonicityStrictly increasing
2024-05-11T15:14:47.241349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001302007402700001 1
 
1.4%
2001302007402700045 1
 
1.4%
2017302015612200002 1
 
1.4%
2017302015612200001 1
 
1.4%
2016302015612200001 1
 
1.4%
2014302012212200001 1
 
1.4%
2006302007402700002 1
 
1.4%
2006302007402700001 1
 
1.4%
2001302007402700044 1
 
1.4%
2018302015612200001 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
2001302007402700001 1
1.4%
2001302007402700002 1
1.4%
2001302007402700003 1
1.4%
2001302007402700004 1
1.4%
2001302007402700005 1
1.4%
2001302007402700006 1
1.4%
2001302007402700007 1
1.4%
2001302007402700008 1
1.4%
2001302007402700009 1
1.4%
2001302007402700010 1
1.4%
ValueCountFrequency (%)
2024302021412200001 1
1.4%
2023302021412200002 1
1.4%
2023302021412200001 1
1.4%
2022302018512200001 1
1.4%
2021302018512200003 1
1.4%
2021302018512200002 1
1.4%
2021302018512200001 1
1.4%
2020302018512200006 1
1.4%
2020302018512200005 1
1.4%
2020302018512200004 1
1.4%

인허가일자
Date

Distinct58
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1983-06-24 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T15:14:47.513849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:47.775222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
1
58 
3
8 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 58
84.1%
3 8
 
11.6%
2 3
 
4.3%

Length

2024-05-11T15:14:48.021011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:48.208594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
84.1%
3 8
 
11.6%
2 3
 
4.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업/정상
58 
폐업
8 
휴업
 
3

Length

Max length5
Median length5
Mean length4.5217391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 58
84.1%
폐업 8
 
11.6%
휴업 3
 
4.3%

Length

2024-05-11T15:14:48.500973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:48.799512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 58
84.1%
폐업 8
 
11.6%
휴업 3
 
4.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
BBBB
57 
2
8 
1
 
4

Length

Max length4
Median length4
Mean length3.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 57
82.6%
2 8
 
11.6%
1 4
 
5.8%

Length

2024-05-11T15:14:49.001915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:49.187181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 57
82.6%
2 8
 
11.6%
1 4
 
5.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
57 
폐업처리
8 
휴업처리
 
3
사용중
 
1

Length

Max length4
Median length4
Mean length3.9855072
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
82.6%
폐업처리 8
 
11.6%
휴업처리 3
 
4.3%
사용중 1
 
1.4%

Length

2024-05-11T15:14:49.381688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:49.557090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
82.6%
폐업처리 8
 
11.6%
휴업처리 3
 
4.3%
사용중 1
 
1.4%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)75.0%
Missing61
Missing (%)88.4%
Memory size684.0 B
Minimum2020-12-04 00:00:00
Maximum2023-07-06 00:00:00
2024-05-11T15:14:49.732533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:49.959054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

전화번호
Text

MISSING 

Distinct41
Distinct (%)87.2%
Missing22
Missing (%)31.9%
Memory size684.0 B
2024-05-11T15:14:50.269484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters470
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

Unique35 ?
Unique (%)74.5%

Sample

1st row02 7965051
2nd row02 7955796
3rd row0232712062
4th row02 7541614
5th row02 7105119
ValueCountFrequency (%)
02 42
46.2%
7929825 2
 
2.2%
7950131 2
 
2.2%
7998236 2
 
2.2%
7103544 2
 
2.2%
0232712062 2
 
2.2%
7061199 2
 
2.2%
7940598 1
 
1.1%
7110326 1
 
1.1%
710 1
 
1.1%
Other values (34) 34
37.4%
2024-05-11T15:14:50.860711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
18.3%
2 73
15.5%
7 63
13.4%
9 51
10.9%
44
9.4%
1 43
9.1%
6 28
 
6.0%
3 22
 
4.7%
8 21
 
4.5%
5 21
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 426
90.6%
Space Separator 44
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
20.2%
2 73
17.1%
7 63
14.8%
9 51
12.0%
1 43
10.1%
6 28
 
6.6%
3 22
 
5.2%
8 21
 
4.9%
5 21
 
4.9%
4 18
 
4.2%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86
18.3%
2 73
15.5%
7 63
13.4%
9 51
10.9%
44
9.4%
1 43
9.1%
6 28
 
6.0%
3 22
 
4.7%
8 21
 
4.5%
5 21
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
18.3%
2 73
15.5%
7 63
13.4%
9 51
10.9%
44
9.4%
1 43
9.1%
6 28
 
6.0%
3 22
 
4.7%
8 21
 
4.5%
5 21
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

지번주소
Text

MISSING 

Distinct58
Distinct (%)90.6%
Missing5
Missing (%)7.2%
Memory size684.0 B
2024-05-11T15:14:51.295161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length26.125
Min length20

Characters and Unicode

Total characters1672
Distinct characters115
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 (%)81.2%

Sample

1st row서울특별시 용산구 한남동 726-111번지
2nd row서울특별시 용산구 이촌동 300-27번지 한강상가3층
3rd row서울특별시 용산구 원효로4가 113-25번지
4th row서울특별시 용산구 후암동 385-14번지
5th row서울특별시 용산구 문배동 24-6번지
ValueCountFrequency (%)
서울특별시 64
21.7%
용산구 64
21.7%
한남동 19
 
6.4%
동자동 5
 
1.7%
한강로3가 5
 
1.7%
이태원동 4
 
1.4%
원효로1가 4
 
1.4%
이촌동 4
 
1.4%
효창동 4
 
1.4%
남영동 3
 
1.0%
Other values (102) 119
40.3%
2024-05-11T15:14:51.990758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
17.3%
산 74
 
4.4%
1 73
 
4.4%
용 71
 
4.2%
서 68
 
4.1%
울 66
 
3.9%
구 65
 
3.9%
- 64
 
3.8%
특 64
 
3.8%
별 64
 
3.8%
Other values (105) 774
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 981
58.7%
Decimal Number 315
 
18.8%
Space Separator 289
 
17.3%
Dash Punctuation 64
 
3.8%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Uppercase Letter 4
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 74
 
7.5%
용 71
 
7.2%
서 68
 
6.9%
울 66
 
6.7%
구 65
 
6.6%
특 64
 
6.5%
별 64
 
6.5%
시 64
 
6.5%
동 62
 
6.3%
지 54
 
5.5%
Other values (86) 329
33.5%
Decimal Number
ValueCountFrequency (%)
1 73
23.2%
3 42
13.3%
2 36
11.4%
7 35
11.1%
5 27
 
8.6%
4 27
 
8.6%
6 24
 
7.6%
0 23
 
7.3%
9 19
 
6.0%
8 9
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
X 1
25.0%
T 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 981
58.7%
Common 687
41.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 74
 
7.5%
용 71
 
7.2%
서 68
 
6.9%
울 66
 
6.7%
구 65
 
6.6%
특 64
 
6.5%
별 64
 
6.5%
시 64
 
6.5%
동 62
 
6.3%
지 54
 
5.5%
Other values (86) 329
33.5%
Common
ValueCountFrequency (%)
289
42.1%
1 73
 
10.6%
- 64
 
9.3%
3 42
 
6.1%
2 36
 
5.2%
7 35
 
5.1%
5 27
 
3.9%
4 27
 
3.9%
6 24
 
3.5%
0 23
 
3.3%
Other values (5) 47
 
6.8%
Latin
ValueCountFrequency (%)
A 1
25.0%
X 1
25.0%
T 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 981
58.7%
ASCII 691
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
41.8%
1 73
 
10.6%
- 64
 
9.3%
3 42
 
6.1%
2 36
 
5.2%
7 35
 
5.1%
5 27
 
3.9%
4 27
 
3.9%
6 24
 
3.5%
0 23
 
3.3%
Other values (9) 51
 
7.4%
Hangul
ValueCountFrequency (%)
산 74
 
7.5%
용 71
 
7.2%
서 68
 
6.9%
울 66
 
6.7%
구 65
 
6.6%
특 64
 
6.5%
별 64
 
6.5%
시 64
 
6.5%
동 62
 
6.3%
지 54
 
5.5%
Other values (86) 329
33.5%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)84.0%
Missing44
Missing (%)63.8%
Memory size684.0 B
2024-05-11T15:14:52.404732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length29.56
Min length22

Characters and Unicode

Total characters739
Distinct characters92
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

Unique17 ?
Unique (%)68.0%

Sample

1st row서울특별시 용산구 원효로 86 (원효로4가)
2nd row서울특별시 용산구 한남대로27길 14 (한남동)
3rd row서울특별시 용산구 원효로 86 (원효로4가)
4th row서울특별시 용산구 백범로 329 (원효로1가)
5th row서울특별시 용산구 이태원로 29 (용산동1가)
ValueCountFrequency (%)
서울특별시 25
 
17.2%
용산구 25
 
17.2%
동자동 4
 
2.8%
한남동 4
 
2.8%
보광로 3
 
2.1%
73 3
 
2.1%
보광동 3
 
2.1%
원효로1가 3
 
2.1%
이촌동 3
 
2.1%
효창동 3
 
2.1%
Other values (54) 69
47.6%
2024-05-11T15:14:52.991345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
16.9%
산 30
 
4.1%
로 30
 
4.1%
서 29
 
3.9%
용 28
 
3.8%
) 27
 
3.7%
울 27
 
3.7%
( 27
 
3.7%
동 26
 
3.5%
구 25
 
3.4%
Other values (82) 365
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
61.4%
Space Separator 125
 
16.9%
Decimal Number 90
 
12.2%
Close Punctuation 27
 
3.7%
Open Punctuation 27
 
3.7%
Other Punctuation 13
 
1.8%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 30
 
6.6%
로 30
 
6.6%
서 29
 
6.4%
용 28
 
6.2%
울 27
 
5.9%
동 26
 
5.7%
구 25
 
5.5%
특 25
 
5.5%
시 25
 
5.5%
별 25
 
5.5%
Other values (67) 184
40.5%
Decimal Number
ValueCountFrequency (%)
1 18
20.0%
3 16
17.8%
4 10
11.1%
9 9
10.0%
6 9
10.0%
7 8
8.9%
2 7
 
7.8%
8 6
 
6.7%
5 4
 
4.4%
0 3
 
3.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
61.4%
Common 285
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 30
 
6.6%
로 30
 
6.6%
서 29
 
6.4%
용 28
 
6.2%
울 27
 
5.9%
동 26
 
5.7%
구 25
 
5.5%
특 25
 
5.5%
시 25
 
5.5%
별 25
 
5.5%
Other values (67) 184
40.5%
Common
ValueCountFrequency (%)
125
43.9%
) 27
 
9.5%
( 27
 
9.5%
1 18
 
6.3%
3 16
 
5.6%
, 13
 
4.6%
4 10
 
3.5%
9 9
 
3.2%
6 9
 
3.2%
7 8
 
2.8%
Other values (5) 23
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
61.4%
ASCII 285
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
43.9%
) 27
 
9.5%
( 27
 
9.5%
1 18
 
6.3%
3 16
 
5.6%
, 13
 
4.6%
4 10
 
3.5%
9 9
 
3.2%
6 9
 
3.2%
7 8
 
2.8%
Other values (5) 23
 
8.1%
Hangul
ValueCountFrequency (%)
산 30
 
6.6%
로 30
 
6.6%
서 29
 
6.4%
용 28
 
6.2%
울 27
 
5.9%
동 26
 
5.7%
구 25
 
5.5%
특 25
 
5.5%
시 25
 
5.5%
별 25
 
5.5%
Other values (67) 184
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing56
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean4357.2308
Minimum4301
Maximum4427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:14:53.173759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4301
5-th percentile4307
Q14314
median4339
Q34401
95-th percentile4425.8
Maximum4427
Range126
Interquartile range (IQR)87

Descriptive statistics

Standard deviation48.007211
Coefficient of variation (CV)0.011017826
Kurtosis-1.6472985
Mean4357.2308
Median Absolute Deviation (MAD)28
Skewness0.45681658
Sum56644
Variance2304.6923
MonotonicityNot monotonic
2024-05-11T15:14:53.372487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4314 2
 
2.9%
4425 1
 
1.4%
4401 1
 
1.4%
4339 1
 
1.4%
4334 1
 
1.4%
4301 1
 
1.4%
4323 1
 
1.4%
4311 1
 
1.4%
4344 1
 
1.4%
4427 1
 
1.4%
Other values (2) 2
 
2.9%
(Missing) 56
81.2%
ValueCountFrequency (%)
4301 1
1.4%
4311 1
1.4%
4314 2
2.9%
4323 1
1.4%
4334 1
1.4%
4339 1
1.4%
4344 1
1.4%
4392 1
1.4%
4401 1
1.4%
4419 1
1.4%
ValueCountFrequency (%)
4427 1
1.4%
4425 1
1.4%
4419 1
1.4%
4401 1
1.4%
4392 1
1.4%
4344 1
1.4%
4339 1
1.4%
4334 1
1.4%
4323 1
1.4%
4314 2
2.9%

사업장명
Text

Distinct58
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T15:14:53.750859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7
Min length4

Characters and Unicode

Total characters483
Distinct characters126
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

Unique47 ?
Unique (%)68.1%

Sample

1st row청암상사
2nd row(주)캠브리지
3rd row현대자동차(주)별관
4th row(재)대원정사
5th row제일제당(주)
ValueCountFrequency (%)
소화아동병원 2
 
2.8%
한국폴리텍대학 2
 
2.8%
금강아산병원 2
 
2.8%
용산구민회관 2
 
2.8%
중앙병원 2
 
2.8%
서울정수캠퍼스 2
 
2.8%
서울미라마(주 2
 
2.8%
해창개발(주 2
 
2.8%
대림산업(주 2
 
2.8%
우원개발(주 2
 
2.8%
Other values (50) 52
72.2%
2024-05-11T15:14:54.361360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
7.0%
) 34
 
7.0%
( 34
 
7.0%
대 15
 
3.1%
원 13
 
2.7%
산 10
 
2.1%
건 9
 
1.9%
빌 9
 
1.9%
딩 9
 
1.9%
울 8
 
1.7%
Other values (116) 308
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
85.3%
Close Punctuation 34
 
7.0%
Open Punctuation 34
 
7.0%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
8.3%
대 15
 
3.6%
원 13
 
3.2%
산 10
 
2.4%
건 9
 
2.2%
빌 9
 
2.2%
딩 9
 
2.2%
울 8
 
1.9%
한 8
 
1.9%
서 8
 
1.9%
Other values (113) 289
70.1%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
85.3%
Common 71
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
8.3%
대 15
 
3.6%
원 13
 
3.2%
산 10
 
2.4%
건 9
 
2.2%
빌 9
 
2.2%
딩 9
 
2.2%
울 8
 
1.9%
한 8
 
1.9%
서 8
 
1.9%
Other values (113) 289
70.1%
Common
ValueCountFrequency (%)
) 34
47.9%
( 34
47.9%
3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
85.3%
ASCII 71
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
8.3%
대 15
 
3.6%
원 13
 
3.2%
산 10
 
2.4%
건 9
 
2.2%
빌 9
 
2.2%
딩 9
 
2.2%
울 8
 
1.9%
한 8
 
1.9%
서 8
 
1.9%
Other values (113) 289
70.1%
ASCII
ValueCountFrequency (%)
) 34
47.9%
( 34
47.9%
3
 
4.2%

최종수정일자
Date

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1983-09-26 00:00:00
Maximum2024-03-25 09:39:10
2024-05-11T15:14:54.578181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:54.799563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
61 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 61
88.4%
U 8
 
11.6%

Length

2024-05-11T15:14:55.007951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:55.180768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 61
88.4%
u 8
 
11.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct12
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2018-08-31 23:59:59.0
51 
2022-12-07 00:08:00.0
 
3
2022-12-03 22:03:00.0
 
3
2019-08-08 02:21:56.0
 
2
2020-02-16 00:23:39.0
 
2
Other values (7)
8 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)8.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 51
73.9%
2022-12-07 00:08:00.0 3
 
4.3%
2022-12-03 22:03:00.0 3
 
4.3%
2019-08-08 02:21:56.0 2
 
2.9%
2020-02-16 00:23:39.0 2
 
2.9%
2021-09-10 00:22:49.0 2
 
2.9%
2018-09-08 23:59:59.0 1
 
1.4%
2021-07-03 02:40:00.0 1
 
1.4%
2021-09-10 02:40:00.0 1
 
1.4%
2021-11-01 23:01:00.0 1
 
1.4%
Other values (2) 2
 
2.9%

Length

2024-05-11T15:14:55.391351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 52
37.7%
2018-08-31 51
37.0%
2022-12-03 3
 
2.2%
22:03:00.0 3
 
2.2%
2021-09-10 3
 
2.2%
00:08:00.0 3
 
2.2%
2022-12-07 3
 
2.2%
2019-08-08 2
 
1.4%
02:21:56.0 2
 
1.4%
2020-02-16 2
 
1.4%
Other values (11) 14
 
10.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)72.4%
Missing40
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean198275.07
Minimum195845.3
Maximum200671.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:14:55.599444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195845.3
5-th percentile196136.29
Q1197160.92
median198334.53
Q3199624.33
95-th percentile200352.99
Maximum200671.41
Range4826.1128
Interquartile range (IQR)2463.4113

Descriptive statistics

Standard deviation1481.2835
Coefficient of variation (CV)0.0074708507
Kurtosis-1.3035382
Mean198275.07
Median Absolute Deviation (MAD)1289.8004
Skewness0.060246157
Sum5749977.1
Variance2194200.7
MonotonicityNot monotonic
2024-05-11T15:14:56.186990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
199624.32911584 3
 
4.3%
200049.251643566 2
 
2.9%
198919.990819783 2
 
2.9%
197219.843989438 2
 
2.9%
198334.528715682 2
 
2.9%
195845.296056399 2
 
2.9%
196572.783090374 2
 
2.9%
200380.998570021 1
 
1.4%
197160.917789776 1
 
1.4%
200310.979917902 1
 
1.4%
Other values (11) 11
 
15.9%
(Missing) 40
58.0%
ValueCountFrequency (%)
195845.296056399 2
2.9%
196572.783090374 2
2.9%
196590.192509967 1
1.4%
196881.746507124 1
1.4%
196941.643702185 1
1.4%
197160.917789776 1
1.4%
197219.843989438 2
2.9%
197373.839856311 1
1.4%
197471.078663699 1
1.4%
197527.000361051 1
1.4%
ValueCountFrequency (%)
200671.408890572 1
 
1.4%
200380.998570021 1
 
1.4%
200310.979917902 1
 
1.4%
200253.118482059 1
 
1.4%
200049.251643566 2
2.9%
199624.32911584 3
4.3%
199102.879664156 1
 
1.4%
198919.990819783 2
2.9%
198647.329571174 1
 
1.4%
198334.528715682 2
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)72.4%
Missing40
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean448403.74
Minimum446153.52
Maximum450168.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:14:56.383641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446153.52
5-th percentile446288.76
Q1447765.81
median448570.99
Q3449076.44
95-th percentile450062.36
Maximum450168.32
Range4014.8014
Interquartile range (IQR)1310.6347

Descriptive statistics

Standard deviation1064.4715
Coefficient of variation (CV)0.002373913
Kurtosis0.031834659
Mean448403.74
Median Absolute Deviation (MAD)630.9948
Skewness-0.42874545
Sum13003708
Variance1133099.5
MonotonicityNot monotonic
2024-05-11T15:14:56.595387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
447432.870599462 3
 
4.3%
448570.989789317 2
 
2.9%
449076.444182757 2
 
2.9%
448786.567031386 2
 
2.9%
446153.522154789 2
 
2.9%
447765.809442454 2
 
2.9%
448674.717487202 2
 
2.9%
448268.324612 1
 
1.4%
450168.3235982 1
 
1.4%
447939.994985364 1
 
1.4%
Other values (11) 11
 
15.9%
(Missing) 40
58.0%
ValueCountFrequency (%)
446153.522154789 2
2.9%
446491.618834731 1
 
1.4%
447432.870599462 3
4.3%
447765.809442454 2
2.9%
447939.994985364 1
 
1.4%
447981.6662549 1
 
1.4%
448229.955586627 1
 
1.4%
448268.324612 1
 
1.4%
448433.353278626 1
 
1.4%
448490.425152267 1
 
1.4%
ValueCountFrequency (%)
450168.3235982 1
1.4%
450094.236418678 1
1.4%
450014.537949042 1
1.4%
449748.964819352 1
1.4%
449492.99121175 1
1.4%
449298.280420144 1
1.4%
449076.444182757 2
2.9%
448786.567031386 2
2.9%
448700.941285716 1
1.4%
448674.717487202 2
2.9%

사용목적
Categorical

Distinct9
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
50 
의료용
6 
1
 
3
가설재 설치 및 해체
 
2
철근절단
 
2
Other values (4)
6 

Length

Max length17
Median length4
Mean length4.4347826
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 50
72.5%
의료용 6
 
8.7%
1 3
 
4.3%
가설재 설치 및 해체 2
 
2.9%
철근절단 2
 
2.9%
철골가설부재 절단 2
 
2.9%
공사중 절단작업 2
 
2.9%
건물냉방 1
 
1.4%
응급환자 및 수술후 회복 보조용 1
 
1.4%

Length

2024-05-11T15:14:56.849194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:57.030479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
60.2%
의료용 6
 
7.2%
1 3
 
3.6%
및 3
 
3.6%
절단작업 2
 
2.4%
공사중 2
 
2.4%
절단 2
 
2.4%
철골가설부재 2
 
2.4%
철근절단 2
 
2.4%
해체 2
 
2.4%
Other values (7) 9
 
10.8%

사용방법
Text

MISSING 

Distinct11
Distinct (%)61.1%
Missing51
Missing (%)73.9%
Memory size684.0 B
2024-05-11T15:14:57.325799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length16
Mean length11.944444
Min length1

Characters and Unicode

Total characters215
Distinct characters78
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

Unique6 ?
Unique (%)33.3%

Sample

1st row1
2nd row1
3rd row2012.1.26 폐지신고처리
4th row액화산소를 기화시켜 사용
5th row액화산소를 기화시켜 사용
ValueCountFrequency (%)
의료용 4
 
8.2%
사용 4
 
8.2%
및 3
 
6.1%
갖추고 2
 
4.1%
설치 2
 
4.1%
가설재 2
 
4.1%
현장 2
 
4.1%
gtx-a5공구 2
 
4.1%
1 2
 
4.1%
해체 2
 
4.1%
Other values (19) 24
49.0%
2024-05-11T15:14:57.910697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
14.4%
용 9
 
4.2%
2 6
 
2.8%
사 6
 
2.8%
설 6
 
2.8%
1 5
 
2.3%
화 5
 
2.3%
장 5
 
2.3%
의 4
 
1.9%
가 4
 
1.9%
Other values (68) 134
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
69.8%
Space Separator 31
 
14.4%
Decimal Number 18
 
8.4%
Uppercase Letter 8
 
3.7%
Other Punctuation 4
 
1.9%
Dash Punctuation 2
 
0.9%
Lowercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 9
 
6.0%
사 6
 
4.0%
설 6
 
4.0%
화 5
 
3.3%
장 5
 
3.3%
의 4
 
2.7%
가 4
 
2.7%
고 4
 
2.7%
구 4
 
2.7%
료 4
 
2.7%
Other values (53) 99
66.0%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
1 5
27.8%
5 3
16.7%
0 3
16.7%
6 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
X 2
25.0%
T 2
25.0%
G 2
25.0%
Other Punctuation
ValueCountFrequency (%)
# 2
50.0%
. 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
69.8%
Common 55
 
25.6%
Latin 10
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 9
 
6.0%
사 6
 
4.0%
설 6
 
4.0%
화 5
 
3.3%
장 5
 
3.3%
의 4
 
2.7%
가 4
 
2.7%
고 4
 
2.7%
구 4
 
2.7%
료 4
 
2.7%
Other values (53) 99
66.0%
Common
ValueCountFrequency (%)
31
56.4%
2 6
 
10.9%
1 5
 
9.1%
5 3
 
5.5%
0 3
 
5.5%
- 2
 
3.6%
# 2
 
3.6%
. 2
 
3.6%
6 1
 
1.8%
Latin
ValueCountFrequency (%)
A 2
20.0%
X 2
20.0%
T 2
20.0%
G 2
20.0%
g 1
10.0%
k 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
69.8%
ASCII 65
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
47.7%
2 6
 
9.2%
1 5
 
7.7%
5 3
 
4.6%
0 3
 
4.6%
A 2
 
3.1%
- 2
 
3.1%
X 2
 
3.1%
T 2
 
3.1%
G 2
 
3.1%
Other values (5) 7
 
10.8%
Hangul
ValueCountFrequency (%)
용 9
 
6.0%
사 6
 
4.0%
설 6
 
4.0%
화 5
 
3.3%
장 5
 
3.3%
의 4
 
2.7%
가 4
 
2.7%
고 4
 
2.7%
구 4
 
2.7%
료 4
 
2.7%
Other values (53) 99
66.0%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)72.2%
Missing51
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean557.33333
Minimum0
Maximum2840
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:14:58.109271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q196
median348.5
Q3875
95-th percentile1446
Maximum2840
Range2840
Interquartile range (IQR)779

Descriptive statistics

Standard deviation701.18975
Coefficient of variation (CV)1.2581156
Kurtosis6.1078307
Mean557.33333
Median Absolute Deviation (MAD)268.5
Skewness2.2409507
Sum10032
Variance491667.06
MonotonicityNot monotonic
2024-05-11T15:14:58.290622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 2
 
2.9%
1200 2
 
2.9%
1000 2
 
2.9%
360 2
 
2.9%
96 2
 
2.9%
0 1
 
1.4%
337 1
 
1.4%
64 1
 
1.4%
2840 1
 
1.4%
500 1
 
1.4%
Other values (3) 3
 
4.3%
(Missing) 51
73.9%
ValueCountFrequency (%)
0 1
1.4%
1 2
2.9%
64 1
1.4%
96 2
2.9%
200 1
1.4%
297 1
1.4%
337 1
1.4%
360 2
2.9%
480 1
1.4%
500 1
1.4%
ValueCountFrequency (%)
2840 1
1.4%
1200 2
2.9%
1000 2
2.9%
500 1
1.4%
480 1
1.4%
360 2
2.9%
337 1
1.4%
297 1
1.4%
200 1
1.4%
96 2
2.9%

수용정원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)44.4%
Missing51
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean46.222222
Minimum0
Maximum300
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:14:58.463755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q13.5
median7.5
Q364
95-th percentile172.5
Maximum300
Range300
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation80.626631
Coefficient of variation (CV)1.7443261
Kurtosis5.1576802
Mean46.222222
Median Absolute Deviation (MAD)4.5
Skewness2.2418239
Sum832
Variance6500.6536
MonotonicityNot monotonic
2024-05-11T15:14:58.641651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 4
 
5.8%
5 4
 
5.8%
1 2
 
2.9%
150 2
 
2.9%
82 2
 
2.9%
3 2
 
2.9%
0 1
 
1.4%
300 1
 
1.4%
(Missing) 51
73.9%
ValueCountFrequency (%)
0 1
 
1.4%
1 2
2.9%
3 2
2.9%
5 4
5.8%
10 4
5.8%
82 2
2.9%
150 2
2.9%
300 1
 
1.4%
ValueCountFrequency (%)
300 1
 
1.4%
150 2
2.9%
82 2
2.9%
10 4
5.8%
5 4
5.8%
3 2
2.9%
1 2
2.9%
0 1
 
1.4%

시설사용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
03020000200130200740270000119900327<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7965051<NA><NA>서울특별시 용산구 한남동 726-111번지<NA><NA>청암상사1990-03-27 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
13020000200130200740270000219840512<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7955796<NA><NA>서울특별시 용산구 이촌동 300-27번지 한강상가3층<NA><NA>(주)캠브리지1984-05-12 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
23020000200130200740270000319830624<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0232712062<NA><NA>서울특별시 용산구 원효로4가 113-25번지서울특별시 용산구 원효로 86 (원효로4가)<NA>현대자동차(주)별관2011-11-02 10:29:29I2018-08-31 23:59:59.0<NA>195845.296056447765.8094421111<NA>
33020000200130200740270000419830926<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7541614<NA><NA>서울특별시 용산구 후암동 385-14번지<NA><NA>(재)대원정사1983-09-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
43020000200130200740270000519841219<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7105119<NA><NA>서울특별시 용산구 문배동 24-6번지<NA><NA>제일제당(주)1984-12-19 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
53020000200130200740270000619840630<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7987908<NA><NA>서울특별시 용산구 한남동 670-1번지<NA><NA>한남외인주택관리사무소1984-06-30 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
63020000200130200740270000719840807<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7950131<NA><NA>서울특별시 용산구 이태원동 260-199번지<NA><NA>남송개발1984-08-07 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
73020000200130200740270000819961026<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7098679<NA><NA>서울특별시 용산구 한강로3가 40-153번지<NA><NA>(주)세아제강1996-10-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
83020000200130200740270000919840630<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7980110<NA><NA>서울특별시 용산구 한남동 729-74번지<NA><NA>민인터내쇼날(주)1984-06-30 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
93020000200130200740270001019850612<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>02 7920268<NA><NA>서울특별시 용산구 남영동 10-1번지<NA><NA>금강빌딩1985-06-12 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사용목적사용방법월사용량수용정원수시설사용여부
59302000020203020185122000042020-05-11<NA>3폐업2폐업처리2023-04-17<NA><NA><NA><NA><NA><NA>서울특별시 용산구 효창동 3-250 일원서울특별시 용산구 임정로29길 17-11, 일원 (효창동)4311기성건설(주)2023-04-20 14:24:34U2022-12-03 22:03:00.0<NA>196590.19251449492.991212<NA><NA><NA><NA><NA>
603020000202030201851220000520200602<NA>3폐업2폐업처리20201204<NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로1가 104 롯데건설(주)서울특별시 용산구 원효로93길 6, 롯데건설(주) (원효로1가)4314(주)유진건철2021-09-08 09:49:08U2021-09-10 02:40:00.0<NA>197219.843989448786.567031철골가설부재 절단압축산소저장설비를 갖추고 사용2975<NA>
61302000020203020185122000062020-06-12<NA>3폐업2폐업처리2023-04-18<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 253-7 유성유치원서울특별시 용산구 회나무로13가길 16, 유성유치원 (이태원동)4344(주)와이투건설2023-04-20 10:37:13U2022-12-03 22:03:00.0<NA>199102.879664448700.941286<NA><NA><NA><NA><NA>
623020000202130201851220000120210907<NA>3폐업2폐업처리20210908<NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 5-1549<NA><NA>해창개발(주)2021-09-08 10:22:28I2021-09-10 00:22:49.0<NA>198919.99082449076.444183공사중 절단작업공사중 절단작업963<NA>
633020000202130201851220000220210907<NA>2휴업1휴업처리<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 5-1549<NA><NA>해창개발(주)2021-09-08 17:45:13I2021-09-10 00:22:49.0<NA>198919.99082449076.444183공사중 절단작업공사중 절단작업963<NA>
64302000020213020185122000032021-11-05<NA>3폐업2폐업처리2022-06-30<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이촌동 302-75 대한의사협회서울특별시 용산구 이촌로46길 33, 대한의사협회 (이촌동)4427케이앤지씨건설(주)2023-04-20 14:23:18U2022-12-03 22:03:00.0<NA>196941.643702446491.618835<NA><NA><NA><NA><NA>
653020000202230201851220000120221209<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 262-1 청산빌딩서울특별시 용산구 독서당로 71, 청산빌딩 (한남동)4419송림건설(주)2022-12-09 09:28:32I2021-11-01 23:01:00.0<NA>200671.408891447981.666255<NA><NA><NA><NA><NA>
66302000020233020214122000012023-07-06<NA>1영업/정상1사용중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 보광동 238-2 한국폴리텍대학 서울정수캠퍼스서울특별시 용산구 보광로 73, 한국폴리텍대학 서울정수캠퍼스 (보광동)4392한국폴리텍대학서울정수캠퍼스2023-07-06 17:28:03I2022-12-07 00:08:00.0<NA>199624.329116447432.870599<NA><NA><NA><NA><NA>
67302000020233020214122000022023-07-28<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 산 10-217<NA><NA>유한회사 정주토건2023-07-28 17:02:57I2022-12-06 21:00:00.0<NA>200049.251644448570.989789<NA><NA><NA><NA><NA>
68302000020243020214122000012024-03-25<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 산 10-217 수도권광역급행철도 GTX-A 6공구 건설현장<NA><NA>(유)정주토건2024-03-25 09:39:10I2023-12-02 22:07:00.0<NA>200049.251644448570.989789<NA><NA><NA><NA><NA>