Overview

Dataset statistics

Number of variables26
Number of observations415
Missing cells3964
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.3 KiB
Average record size in memory220.3 B

Variable types

Categorical6
Text6
DateTime5
Unsupported5
Numeric4

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),판매점영업면적
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16288/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
인허가취소일자 has 414 (99.8%) missing valuesMissing
폐업일자 has 205 (49.4%) missing valuesMissing
휴업시작일자 has 415 (100.0%) missing valuesMissing
휴업종료일자 has 415 (100.0%) missing valuesMissing
재개업일자 has 415 (100.0%) missing valuesMissing
전화번호 has 319 (76.9%) missing valuesMissing
소재지면적 has 415 (100.0%) missing valuesMissing
소재지우편번호 has 364 (87.7%) missing valuesMissing
지번주소 has 261 (62.9%) missing valuesMissing
업태구분명 has 415 (100.0%) missing valuesMissing
좌표정보(X) has 15 (3.6%) missing valuesMissing
좌표정보(Y) has 15 (3.6%) missing valuesMissing
판매점영업면적 has 294 (70.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매점영업면적 has 9 (2.2%) zerosZeros

Reproduction

Analysis started2024-05-11 08:54:16.352995
Analysis finished2024-05-11 08:54:17.774591
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3020000
415 

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 415
100.0%

Length

2024-05-11T08:54:18.094135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:54:18.440333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 415
100.0%

관리번호
Text

UNIQUE 

Distinct415
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T08:54:18.943015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters10375
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique415 ?
Unique (%)100.0%

Sample

1st rowPHMH320113020033087500001
2nd rowPHMH320123020033087500001
3rd rowPHMH320123020033087500002
4th rowPHMH320123020033087500003
5th rowPHMH320123020033087500004
ValueCountFrequency (%)
phmh320113020033087500001 1
 
0.2%
phmh320183020033087500008 1
 
0.2%
phmh320183020033087500005 1
 
0.2%
phmh320183020033087500004 1
 
0.2%
phmh320183020033087500003 1
 
0.2%
phmh320183020033087500002 1
 
0.2%
phmh320183020033087500001 1
 
0.2%
phmh320173020033087500041 1
 
0.2%
phmh320173020033087500040 1
 
0.2%
phmh320173020033087500039 1
 
0.2%
Other values (405) 405
97.6%
2024-05-11T08:54:20.124563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3478
33.5%
3 1780
17.2%
2 1189
 
11.5%
H 830
 
8.0%
1 535
 
5.2%
7 507
 
4.9%
5 505
 
4.9%
8 483
 
4.7%
P 415
 
4.0%
M 415
 
4.0%
Other values (3) 238
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8715
84.0%
Uppercase Letter 1660
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3478
39.9%
3 1780
20.4%
2 1189
 
13.6%
1 535
 
6.1%
7 507
 
5.8%
5 505
 
5.8%
8 483
 
5.5%
4 89
 
1.0%
6 82
 
0.9%
9 67
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 830
50.0%
P 415
25.0%
M 415
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8715
84.0%
Latin 1660
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3478
39.9%
3 1780
20.4%
2 1189
 
13.6%
1 535
 
6.1%
7 507
 
5.8%
5 505
 
5.8%
8 483
 
5.5%
4 89
 
1.0%
6 82
 
0.9%
9 67
 
0.8%
Latin
ValueCountFrequency (%)
H 830
50.0%
P 415
25.0%
M 415
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3478
33.5%
3 1780
17.2%
2 1189
 
11.5%
H 830
 
8.0%
1 535
 
5.2%
7 507
 
4.9%
5 505
 
4.9%
8 483
 
4.7%
P 415
 
4.0%
M 415
 
4.0%
Other values (3) 238
 
2.3%

인허가일자
Date

Distinct284
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2011-11-16 00:00:00
Maximum2024-03-28 00:00:00
2024-05-11T08:54:20.822072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:54:21.504229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing414
Missing (%)99.8%
Memory size3.4 KiB
Minimum2023-03-28 00:00:00
Maximum2023-03-28 00:00:00
2024-05-11T08:54:22.235966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:54:22.640474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
208 
1
204 
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 208
50.1%
1 204
49.2%
4 2
 
0.5%
5 1
 
0.2%

Length

2024-05-11T08:54:23.027474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:54:23.544521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 208
50.1%
1 204
49.2%
4 2
 
0.5%
5 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
208 
영업/정상
204 
취소/말소/만료/정지/중지
 
2
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.546988
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 208
50.1%
영업/정상 204
49.2%
취소/말소/만료/정지/중지 2
 
0.5%
제외/삭제/전출 1
 
0.2%

Length

2024-05-11T08:54:23.910609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:54:24.322385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 208
50.1%
영업/정상 204
49.2%
취소/말소/만료/정지/중지 2
 
0.5%
제외/삭제/전출 1
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
208 
13
204 
24
 
2
99
 
1

Length

Max length2
Median length1
Mean length1.4987952
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 208
50.1%
13 204
49.2%
24 2
 
0.5%
99 1
 
0.2%

Length

2024-05-11T08:54:24.774914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:54:25.167887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 208
50.1%
13 204
49.2%
24 2
 
0.5%
99 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
208 
영업중
204 
직권폐업
 
2
삭제
 
1

Length

Max length4
Median length2
Mean length2.5012048
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 208
50.1%
영업중 204
49.2%
직권폐업 2
 
0.5%
삭제 1
 
0.2%

Length

2024-05-11T08:54:25.745142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:54:26.217233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 208
50.1%
영업중 204
49.2%
직권폐업 2
 
0.5%
삭제 1
 
0.2%

폐업일자
Date

MISSING 

Distinct193
Distinct (%)91.9%
Missing205
Missing (%)49.4%
Memory size3.4 KiB
Minimum2012-11-16 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T08:54:26.870330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:54:27.420696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

전화번호
Text

MISSING 

Distinct88
Distinct (%)91.7%
Missing319
Missing (%)76.9%
Memory size3.4 KiB
2024-05-11T08:54:28.195018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.614583
Min length7

Characters and Unicode

Total characters1019
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

Unique81 ?
Unique (%)84.4%

Sample

1st row02-794-1091
2nd row02-792-1091
3rd row02-3275-3966
4th row02-792-1598
5th row02-774-4218
ValueCountFrequency (%)
02-3284-8120 3
 
3.1%
02-749-3904 2
 
2.1%
02-790-7200 2
 
2.1%
02-3275-3966 2
 
2.1%
02-792-1091 2
 
2.1%
02-3284-8112 2
 
2.1%
02-794-4640 2
 
2.1%
02-796-9026 1
 
1.0%
02-790-3221 1
 
1.0%
02-712-5777 1
 
1.0%
Other values (78) 78
81.2%
2024-05-11T08:54:29.779662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 162
15.9%
0 151
14.8%
2 147
14.4%
7 128
12.6%
1 86
8.4%
9 77
7.6%
4 66
6.5%
3 57
 
5.6%
8 51
 
5.0%
6 50
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 857
84.1%
Dash Punctuation 162
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
17.6%
2 147
17.2%
7 128
14.9%
1 86
10.0%
9 77
9.0%
4 66
7.7%
3 57
 
6.7%
8 51
 
6.0%
6 50
 
5.8%
5 44
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 162
15.9%
0 151
14.8%
2 147
14.4%
7 128
12.6%
1 86
8.4%
9 77
7.6%
4 66
6.5%
3 57
 
5.6%
8 51
 
5.0%
6 50
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 162
15.9%
0 151
14.8%
2 147
14.4%
7 128
12.6%
1 86
8.4%
9 77
7.6%
4 66
6.5%
3 57
 
5.6%
8 51
 
5.0%
6 50
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

소재지우편번호
Text

MISSING 

Distinct40
Distinct (%)78.4%
Missing364
Missing (%)87.7%
Memory size3.4 KiB
2024-05-11T08:54:30.531567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1176471
Min length6

Characters and Unicode

Total characters312
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)62.7%

Sample

1st row140857
2nd row140901
3rd row140915
4th row140-872
5th row140-826
ValueCountFrequency (%)
140201 3
 
5.9%
140901 3
 
5.9%
140100 3
 
5.9%
140190 2
 
3.9%
140060 2
 
3.9%
140857 2
 
3.9%
140909 2
 
3.9%
140170 2
 
3.9%
04303 1
 
2.0%
140-871 1
 
2.0%
Other values (30) 30
58.8%
2024-05-11T08:54:31.686340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 85
27.2%
1 64
20.5%
4 59
18.9%
8 21
 
6.7%
2 16
 
5.1%
9 15
 
4.8%
3 15
 
4.8%
7 13
 
4.2%
5 8
 
2.6%
7
 
2.2%
Other values (2) 9
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 299
95.8%
Space Separator 7
 
2.2%
Dash Punctuation 6
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
28.4%
1 64
21.4%
4 59
19.7%
8 21
 
7.0%
2 16
 
5.4%
9 15
 
5.0%
3 15
 
5.0%
7 13
 
4.3%
5 8
 
2.7%
6 3
 
1.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 85
27.2%
1 64
20.5%
4 59
18.9%
8 21
 
6.7%
2 16
 
5.1%
9 15
 
4.8%
3 15
 
4.8%
7 13
 
4.2%
5 8
 
2.6%
7
 
2.2%
Other values (2) 9
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 85
27.2%
1 64
20.5%
4 59
18.9%
8 21
 
6.7%
2 16
 
5.1%
9 15
 
4.8%
3 15
 
4.8%
7 13
 
4.2%
5 8
 
2.6%
7
 
2.2%
Other values (2) 9
 
2.9%

지번주소
Text

MISSING 

Distinct146
Distinct (%)94.8%
Missing261
Missing (%)62.9%
Memory size3.4 KiB
2024-05-11T08:54:32.438597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31
Mean length22.668831
Min length18

Characters and Unicode

Total characters3491
Distinct characters138
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)89.6%

Sample

1st row서울특별시 용산구 한강로2가 2번지 36호 한강현대하이엘
2nd row서울특별시 용산구 이태원동 243번지 37호
3rd row서울특별시 용산구 후암동 105번지 3호
4th row서울특별시 용산구 남영동 24-8
5th row서울특별시 용산구 한남동 738번지 24호
ValueCountFrequency (%)
서울특별시 154
21.2%
용산구 154
21.2%
후암동 19
 
2.6%
이태원동 16
 
2.2%
한남동 12
 
1.7%
이촌동 10
 
1.4%
한강로2가 10
 
1.4%
1호 9
 
1.2%
용산동2가 8
 
1.1%
보광동 8
 
1.1%
Other values (239) 326
44.9%
2024-05-11T08:54:33.850044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
572
 
16.4%
산 176
 
5.0%
용 175
 
5.0%
서 163
 
4.7%
시 156
 
4.5%
울 155
 
4.4%
별 155
 
4.4%
특 154
 
4.4%
구 154
 
4.4%
동 129
 
3.7%
Other values (128) 1502
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2203
63.1%
Decimal Number 648
 
18.6%
Space Separator 572
 
16.4%
Dash Punctuation 63
 
1.8%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 176
 
8.0%
용 175
 
7.9%
서 163
 
7.4%
시 156
 
7.1%
울 155
 
7.0%
별 155
 
7.0%
특 154
 
7.0%
구 154
 
7.0%
동 129
 
5.9%
지 80
 
3.6%
Other values (113) 706
32.0%
Decimal Number
ValueCountFrequency (%)
1 127
19.6%
2 109
16.8%
3 78
12.0%
4 69
10.6%
6 52
8.0%
7 50
 
7.7%
5 50
 
7.7%
0 46
 
7.1%
9 35
 
5.4%
8 32
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2203
63.1%
Common 1285
36.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 176
 
8.0%
용 175
 
7.9%
서 163
 
7.4%
시 156
 
7.1%
울 155
 
7.0%
별 155
 
7.0%
특 154
 
7.0%
구 154
 
7.0%
동 129
 
5.9%
지 80
 
3.6%
Other values (113) 706
32.0%
Common
ValueCountFrequency (%)
572
44.5%
1 127
 
9.9%
2 109
 
8.5%
3 78
 
6.1%
4 69
 
5.4%
- 63
 
4.9%
6 52
 
4.0%
7 50
 
3.9%
5 50
 
3.9%
0 46
 
3.6%
Other values (3) 69
 
5.4%
Latin
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2203
63.1%
ASCII 1288
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
572
44.4%
1 127
 
9.9%
2 109
 
8.5%
3 78
 
6.1%
4 69
 
5.4%
- 63
 
4.9%
6 52
 
4.0%
7 50
 
3.9%
5 50
 
3.9%
0 46
 
3.6%
Other values (5) 72
 
5.6%
Hangul
ValueCountFrequency (%)
산 176
 
8.0%
용 175
 
7.9%
서 163
 
7.4%
시 156
 
7.1%
울 155
 
7.0%
별 155
 
7.0%
특 154
 
7.0%
구 154
 
7.0%
동 129
 
5.9%
지 80
 
3.6%
Other values (113) 706
32.0%

도로명주소
Text

Distinct348
Distinct (%)84.1%
Missing1
Missing (%)0.2%
Memory size3.4 KiB
2024-05-11T08:54:34.704661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length29.415459
Min length21

Characters and Unicode

Total characters12178
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)69.8%

Sample

1st row서울특별시 용산구 효창원로76길 150 (효창동)
2nd row서울특별시 용산구 서빙고로91나길 72 (동빙고동)
3rd row서울특별시 용산구 장문로6길 97 (동빙고동)
4th row서울특별시 용산구 새창로 146 (원효로2가)
5th row서울특별시 용산구 한강대로 49 (한강로3가)
ValueCountFrequency (%)
서울특별시 414
 
17.3%
용산구 414
 
17.3%
1층 130
 
5.4%
이태원동 52
 
2.2%
한강대로 37
 
1.5%
후암동 36
 
1.5%
한남동 33
 
1.4%
용산동2가 23
 
1.0%
한강로2가 23
 
1.0%
이촌동 22
 
0.9%
Other values (432) 1208
50.5%
2024-05-11T08:54:36.400097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1978
 
16.2%
1 549
 
4.5%
로 502
 
4.1%
용 473
 
3.9%
산 473
 
3.9%
서 465
 
3.8%
시 419
 
3.4%
) 417
 
3.4%
울 417
 
3.4%
( 417
 
3.4%
Other values (195) 6068
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7171
58.9%
Space Separator 1978
 
16.2%
Decimal Number 1875
 
15.4%
Close Punctuation 417
 
3.4%
Open Punctuation 417
 
3.4%
Other Punctuation 265
 
2.2%
Dash Punctuation 32
 
0.3%
Uppercase Letter 16
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 502
 
7.0%
용 473
 
6.6%
산 473
 
6.6%
서 465
 
6.5%
시 419
 
5.8%
울 417
 
5.8%
특 414
 
5.8%
별 414
 
5.8%
구 414
 
5.8%
동 359
 
5.0%
Other values (169) 2821
39.3%
Decimal Number
ValueCountFrequency (%)
1 549
29.3%
2 298
15.9%
0 186
 
9.9%
3 168
 
9.0%
4 158
 
8.4%
5 128
 
6.8%
7 114
 
6.1%
6 104
 
5.5%
9 96
 
5.1%
8 74
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
D 3
18.8%
R 3
18.8%
S 2
 
12.5%
K 1
 
6.2%
G 1
 
6.2%
C 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 264
99.6%
. 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 4
66.7%
k 2
33.3%
Space Separator
ValueCountFrequency (%)
1978
100.0%
Close Punctuation
ValueCountFrequency (%)
) 417
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7171
58.9%
Common 4985
40.9%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 502
 
7.0%
용 473
 
6.6%
산 473
 
6.6%
서 465
 
6.5%
시 419
 
5.8%
울 417
 
5.8%
특 414
 
5.8%
별 414
 
5.8%
구 414
 
5.8%
동 359
 
5.0%
Other values (169) 2821
39.3%
Common
ValueCountFrequency (%)
1978
39.7%
1 549
 
11.0%
) 417
 
8.4%
( 417
 
8.4%
2 298
 
6.0%
, 264
 
5.3%
0 186
 
3.7%
3 168
 
3.4%
4 158
 
3.2%
5 128
 
2.6%
Other values (7) 422
 
8.5%
Latin
ValueCountFrequency (%)
B 5
22.7%
c 4
18.2%
D 3
13.6%
R 3
13.6%
S 2
 
9.1%
k 2
 
9.1%
K 1
 
4.5%
G 1
 
4.5%
C 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7171
58.9%
ASCII 5007
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1978
39.5%
1 549
 
11.0%
) 417
 
8.3%
( 417
 
8.3%
2 298
 
6.0%
, 264
 
5.3%
0 186
 
3.7%
3 168
 
3.4%
4 158
 
3.2%
5 128
 
2.6%
Other values (16) 444
 
8.9%
Hangul
ValueCountFrequency (%)
로 502
 
7.0%
용 473
 
6.6%
산 473
 
6.6%
서 465
 
6.5%
시 419
 
5.8%
울 417
 
5.8%
특 414
 
5.8%
별 414
 
5.8%
구 414
 
5.8%
동 359
 
5.0%
Other values (169) 2821
39.3%

도로명우편번호
Real number (ℝ)

Distinct136
Distinct (%)32.9%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean16212.717
Minimum4300
Maximum140909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T08:54:37.005527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4309
Q14331
median4359.5
Q34393.75
95-th percentile140824.75
Maximum140909
Range136609
Interquartile range (IQR)62.75

Descriptive statistics

Standard deviation38463.275
Coefficient of variation (CV)2.3724138
Kurtosis6.6904673
Mean16212.717
Median Absolute Deviation (MAD)31.5
Skewness2.9424626
Sum6712065
Variance1.4794235 × 109
MonotonicityNot monotonic
2024-05-11T08:54:37.666410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4382 16
 
3.9%
4315 12
 
2.9%
4338 10
 
2.4%
4313 10
 
2.4%
4334 9
 
2.2%
4345 9
 
2.2%
4350 8
 
1.9%
4328 8
 
1.9%
4363 7
 
1.7%
4376 7
 
1.7%
Other values (126) 318
76.6%
ValueCountFrequency (%)
4300 5
1.2%
4302 4
1.0%
4303 4
1.0%
4304 2
 
0.5%
4305 3
0.7%
4307 2
 
0.5%
4309 4
1.0%
4310 1
 
0.2%
4311 2
 
0.5%
4312 2
 
0.5%
ValueCountFrequency (%)
140909 1
0.2%
140906 1
0.2%
140901 2
0.5%
140900 1
0.2%
140896 2
0.5%
140888 1
0.2%
140872 1
0.2%
140866 1
0.2%
140863 1
0.2%
140858 1
0.2%

사업장명
Text

Distinct379
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T08:54:38.582390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.619277
Min length3

Characters and Unicode

Total characters4407
Distinct characters236
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

Unique344 ?
Unique (%)82.9%

Sample

1st row(주)바이더웨이 효창공원점
2nd rowGS25동빙고제일점
3rd rowGS25동빙고점
4th rowGS25원효타운
5th rowGS25용산점
ValueCountFrequency (%)
씨유 68
 
9.9%
gs25 36
 
5.2%
세븐일레븐 34
 
4.9%
지에스25 33
 
4.8%
주)코리아세븐 33
 
4.8%
이마트24 16
 
2.3%
미니스톱 7
 
1.0%
주)비지에프리테일 7
 
1.0%
용산원효점 5
 
0.7%
동부이촌점 5
 
0.7%
Other values (351) 444
64.5%
2024-05-11T08:54:40.326535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 376
 
8.5%
279
 
6.3%
산 194
 
4.4%
용 182
 
4.1%
2 164
 
3.7%
5 141
 
3.2%
븐 133
 
3.0%
이 122
 
2.8%
씨 120
 
2.7%
유 116
 
2.6%
Other values (226) 2580
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3434
77.9%
Decimal Number 352
 
8.0%
Space Separator 279
 
6.3%
Uppercase Letter 206
 
4.7%
Open Punctuation 67
 
1.5%
Close Punctuation 66
 
1.5%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 376
 
10.9%
산 194
 
5.6%
용 182
 
5.3%
븐 133
 
3.9%
이 122
 
3.6%
씨 120
 
3.5%
유 116
 
3.4%
스 101
 
2.9%
리 92
 
2.7%
세 87
 
2.5%
Other values (205) 1911
55.6%
Decimal Number
ValueCountFrequency (%)
2 164
46.6%
5 141
40.1%
4 18
 
5.1%
3 11
 
3.1%
6 8
 
2.3%
1 7
 
2.0%
7 2
 
0.6%
0 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
S 80
38.8%
G 79
38.3%
U 21
 
10.2%
C 19
 
9.2%
R 4
 
1.9%
N 2
 
1.0%
K 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3434
77.9%
Common 765
 
17.4%
Latin 208
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 376
 
10.9%
산 194
 
5.6%
용 182
 
5.3%
븐 133
 
3.9%
이 122
 
3.6%
씨 120
 
3.5%
유 116
 
3.4%
스 101
 
2.9%
리 92
 
2.7%
세 87
 
2.5%
Other values (205) 1911
55.6%
Common
ValueCountFrequency (%)
279
36.5%
2 164
21.4%
5 141
18.4%
( 67
 
8.8%
) 66
 
8.6%
4 18
 
2.4%
3 11
 
1.4%
6 8
 
1.0%
1 7
 
0.9%
7 2
 
0.3%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
S 80
38.5%
G 79
38.0%
U 21
 
10.1%
C 19
 
9.1%
R 4
 
1.9%
N 2
 
1.0%
K 1
 
0.5%
g 1
 
0.5%
s 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3434
77.9%
ASCII 973
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 376
 
10.9%
산 194
 
5.6%
용 182
 
5.3%
븐 133
 
3.9%
이 122
 
3.6%
씨 120
 
3.5%
유 116
 
3.4%
스 101
 
2.9%
리 92
 
2.7%
세 87
 
2.5%
Other values (205) 1911
55.6%
ASCII
ValueCountFrequency (%)
279
28.7%
2 164
16.9%
5 141
14.5%
S 80
 
8.2%
G 79
 
8.1%
( 67
 
6.9%
) 66
 
6.8%
U 21
 
2.2%
C 19
 
2.0%
4 18
 
1.8%
Other values (11) 39
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct415
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2013-08-22 14:01:23
Maximum2024-04-26 09:19:58
2024-05-11T08:54:40.897823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:54:41.345022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
252 
U
162 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
I 252
60.7%
U 162
39.0%
D 1
 
0.2%

Length

2024-05-11T08:54:41.783741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:54:42.105786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 252
60.7%
u 162
39.0%
d 1
 
0.2%

데이터갱신일자
Date

Distinct192
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T08:54:42.460142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:54:42.972514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct265
Distinct (%)66.2%
Missing15
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean197971.34
Minimum195266.36
Maximum200824.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T08:54:43.381509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195266.36
5-th percentile196183.62
Q1197044.28
median197576.5
Q3199131.08
95-th percentile200229.3
Maximum200824.56
Range5558.197
Interquartile range (IQR)2086.8041

Descriptive statistics

Standard deviation1296.7415
Coefficient of variation (CV)0.0065501475
Kurtosis-0.87442788
Mean197971.34
Median Absolute Deviation (MAD)882.10459
Skewness0.37567846
Sum79188536
Variance1681538.5
MonotonicityNot monotonic
2024-05-11T08:54:43.892479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196557.682702991 5
 
1.2%
197044.277002519 5
 
1.2%
197578.141435458 5
 
1.2%
199761.407951479 4
 
1.0%
199494.240629528 4
 
1.0%
196211.287232401 3
 
0.7%
197257.765183997 3
 
0.7%
197351.514465897 3
 
0.7%
198207.867950751 3
 
0.7%
197338.915067396 3
 
0.7%
Other values (255) 362
87.2%
(Missing) 15
 
3.6%
ValueCountFrequency (%)
195266.362355276 1
 
0.2%
195544.606275448 1
 
0.2%
195556.853873045 1
 
0.2%
195563.535062555 2
0.5%
195661.120716469 1
 
0.2%
195698.926268495 1
 
0.2%
195892.742962389 3
0.7%
195966.881194379 1
 
0.2%
196005.836412851 3
0.7%
196010.822884328 2
0.5%
ValueCountFrequency (%)
200824.55933234 1
0.2%
200806.372578114 2
0.5%
200731.230309146 2
0.5%
200628.554655257 2
0.5%
200624.873958 1
0.2%
200614.319913696 2
0.5%
200455.14401596 1
0.2%
200448.0782913 1
0.2%
200445.904829677 1
0.2%
200440.600582293 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)66.5%
Missing15
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean448347.98
Minimum445891.89
Maximum450290.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T08:54:44.397362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445891.89
5-th percentile446629.88
Q1447701.39
median448285.52
Q3449119.72
95-th percentile449942.11
Maximum450290.44
Range4398.5537
Interquartile range (IQR)1418.3369

Descriptive statistics

Standard deviation976.77442
Coefficient of variation (CV)0.0021786078
Kurtosis-0.67131338
Mean448347.98
Median Absolute Deviation (MAD)697.36521
Skewness-0.016999005
Sum1.7933919 × 108
Variance954088.27
MonotonicityNot monotonic
2024-05-11T08:54:44.930077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448041.810074053 5
 
1.2%
446549.892594467 5
 
1.2%
447844.960184765 5
 
1.2%
447100.527107187 4
 
1.0%
448102.144003408 4
 
1.0%
448572.36200051 3
 
0.7%
447772.298383734 3
 
0.7%
447738.540389615 3
 
0.7%
449356.302089952 3
 
0.7%
446893.484429691 3
 
0.7%
Other values (256) 362
87.2%
(Missing) 15
 
3.6%
ValueCountFrequency (%)
445891.889050955 1
0.2%
446114.125235545 1
0.2%
446262.544080318 1
0.2%
446270.376661762 1
0.2%
446420.759276915 1
0.2%
446423.95305147 2
0.5%
446425.373848781 1
0.2%
446484.748654 1
0.2%
446487.361819107 2
0.5%
446500.466782248 1
0.2%
ValueCountFrequency (%)
450290.442701448 2
0.5%
450278.758007272 1
 
0.2%
450239.905239 1
 
0.2%
450239.515008707 3
0.7%
450194.495553339 2
0.5%
450108.517350234 2
0.5%
450091.220530846 1
 
0.2%
450064.79037152 2
0.5%
450002.778511517 2
0.5%
450001.211928492 1
 
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)62.8%
Missing294
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean59.856529
Minimum0
Maximum230
Zeros9
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T08:54:45.339204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136
median50
Q372.7
95-th percentile145
Maximum230
Range230
Interquartile range (IQR)36.7

Descriptive statistics

Standard deviation40.328859
Coefficient of variation (CV)0.67375874
Kurtosis3.4835838
Mean59.856529
Median Absolute Deviation (MAD)17
Skewness1.5257222
Sum7242.64
Variance1626.4169
MonotonicityNot monotonic
2024-05-11T08:54:45.981345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
2.2%
50.0 8
 
1.9%
33.0 8
 
1.9%
49.5 5
 
1.2%
36.0 4
 
1.0%
40.0 4
 
1.0%
60.0 3
 
0.7%
45.0 3
 
0.7%
66.0 3
 
0.7%
16.5 2
 
0.5%
Other values (66) 72
 
17.3%
(Missing) 294
70.8%
ValueCountFrequency (%)
0.0 9
2.2%
6.06 1
 
0.2%
16.5 2
 
0.5%
26.4 2
 
0.5%
29.0 1
 
0.2%
29.7 1
 
0.2%
30.0 2
 
0.5%
33.0 8
1.9%
34.0 1
 
0.2%
36.0 4
1.0%
ValueCountFrequency (%)
230.0 1
0.2%
181.82 1
0.2%
181.0 2
0.5%
166.99 1
0.2%
148.0 1
0.2%
145.0 1
0.2%
132.23 1
0.2%
128.9 1
0.2%
115.7 1
0.2%
115.0 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03020000PHMH32011302003308750000120111116<NA>3폐업3폐업20141230<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 효창원로76길 150 (효창동)140896(주)바이더웨이 효창공원점2014-12-30 16:55:42I2018-08-31 23:59:59.0<NA><NA><NA><NA>
13020000PHMH32012302003308750000120121108<NA>3폐업3폐업20161123<NA><NA><NA>02-794-1091<NA><NA><NA>서울특별시 용산구 서빙고로91나길 72 (동빙고동)4395GS25동빙고제일점2016-11-23 14:35:41I2018-08-31 23:59:59.0<NA>199621.359138446867.679326<NA>
23020000PHMH32012302003308750000220121108<NA>3폐업3폐업20170502<NA><NA><NA>02-792-1091<NA><NA><NA>서울특별시 용산구 장문로6길 97 (동빙고동)4393GS25동빙고점2017-05-10 10:55:50I2018-08-31 23:59:59.0<NA>199608.612935447092.209717<NA>
33020000PHMH32012302003308750000320121108<NA>3폐업3폐업20140417<NA><NA><NA>02-3275-3966<NA><NA><NA>서울특별시 용산구 새창로 146 (원효로2가)140847GS25원효타운2014-04-17 15:38:02I2018-08-31 23:59:59.0<NA>196557.682703448041.810074<NA>
43020000PHMH32012302003308750000420121108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-792-1598<NA><NA><NA>서울특별시 용산구 한강대로 49 (한강로3가)4379GS25용산점2013-08-22 14:01:23I2018-08-31 23:59:59.0<NA>196751.184596447037.735392<NA>
53020000PHMH32012302003308750000520121108<NA>3폐업3폐업20130405<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강대로 211, 107호 (한강로1가)140011미니스톱용산월드점2013-08-22 14:05:26I2018-08-31 23:59:59.0<NA>197542.687282448325.294355<NA>
63020000PHMH32012302003308750000620121108<NA>3폐업3폐업20170331<NA><NA><NA>02-774-4218<NA><NA><NA>서울특별시 용산구 후암로 23-1 (후암동)4332GS25후암사랑점2017-03-31 17:06:18I2018-08-31 23:59:59.0<NA>197963.766167449528.48631<NA>
73020000PHMH32012302003308750000720121108<NA>3폐업3폐업20180727<NA><NA><NA>02-3789-1637<NA><NA><NA>서울특별시 용산구 후암로 71-2 (후암동)4325CU후암미주점2018-07-27 16:45:18I2018-08-31 23:59:59.0<NA>197860.58789450002.778512<NA>
83020000PHMH3201230200330875000082012-11-08<NA>3폐업3폐업2023-03-16<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강대로 205 (한강로1가)4322CU용산파크자이점2023-03-16 17:20:21U2022-12-02 23:08:00.0<NA><NA><NA><NA>
93020000PHMH3201230200330875000092012-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3275-3220<NA><NA><NA>서울특별시 용산구 청파로 395 (서계동)4300세븐일레븐 용산서울역점2023-03-29 11:40:06U2022-12-02 21:01:00.0<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
4053020000PHMH3202330200330875000202023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 420 용산푸르지오써밋서울특별시 용산구 한강대로 69, 상가동 B106-1호 (한강로2가, 용산푸르지오써밋)4378지에스25 푸르지오써밋점2023-12-12 17:31:04I2022-11-01 23:04:00.0<NA>196861.350875447226.72051<NA>
4063020000PHMH3202330200330875000212023-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 40-708서울특별시 용산구 한강대로23길 25, 지하1층 2호 (한강로3가)4378지에스25 나인트리로카우스점2023-12-21 17:07:32I2022-11-01 22:03:00.0<NA>196785.404802447267.982864<NA>
4073020000PHMH3202330200330875000222013-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동5가 24 파크타워서울특별시 용산구 서빙고로 67, B20호 (용산동5가, 파크타워)4385(주)코리아세븐 용산파크점2024-04-15 16:17:42U2023-12-03 23:07:00.0<NA>197338.915067446893.48443<NA>
4083020000PHMH3202330200330875000232023-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 후암동 79 한진여관목욕탕서울특별시 용산구 후암로 59, 한진여관목욕탕 1층 (후암동)4325(주)코리아세븐 후암광장카페점2023-12-27 19:04:52I2022-11-01 22:09:00.0<NA>197882.621569449867.976663<NA>
4093020000PHMH3202430200330875000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로1가 231-6서울특별시 용산구 한강대로62길 48, 1층 (한강로1가)4382씨유 용산삼각지점2024-01-03 17:48:08I2023-12-01 00:05:00.0<NA>197578.141435447844.960185<NA>
4103020000PHMH3202430200330875000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로1가 51-19서울특별시 용산구 원효로83길 7, 1층 (원효로1가)4316지에스25 용산퍼스트2024-01-19 17:54:56I2023-11-30 22:01:00.0<NA>197090.167811448636.658911<NA>
4113020000PHMH3202430200330875000032024-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 회나무로13가길 41, 1층 (이태원동)4344씨유 이태원2동점2024-02-07 16:18:48I2023-12-01 23:01:00.0<NA>199216.466247448752.686364<NA>
4123020000PHMH3202430200330875000042024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 후암동 399-11서울특별시 용산구 두텁바위로 110 (후암동)4328지에스25 후암퍼스트점2024-02-20 13:38:25I2023-12-01 22:02:00.0<NA>198364.693681449615.290914<NA>
4133020000PHMH3202430200330875000052024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로1가 50-1 용산파크자이서울특별시 용산구 한강대로 205, 1층 D8호 (한강로1가, 용산파크자이)4322씨유용산파크자이점2024-03-06 10:36:42I2023-12-03 00:09:00.0<NA>197514.145786448264.322315<NA>
4143020000PHMH3202430200330875000062024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 69-65서울특별시 용산구 한강대로 303 (갈월동)4320GS25용산포인트점2024-03-28 17:50:06I2023-12-02 21:00:00.0<NA>197418.169929449233.304739<NA>