Overview

Dataset statistics

Number of variables26
Number of observations437
Missing cells2885
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.4 KiB
Average record size in memory221.3 B

Variable types

Categorical8
Text6
DateTime4
Unsupported4
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16289/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.7%)Imbalance
휴업종료일자 is highly imbalanced (97.7%)Imbalance
인허가취소일자 has 437 (100.0%) missing valuesMissing
폐업일자 has 206 (47.1%) missing valuesMissing
재개업일자 has 437 (100.0%) missing valuesMissing
전화번호 has 255 (58.4%) missing valuesMissing
소재지면적 has 437 (100.0%) missing valuesMissing
소재지우편번호 has 290 (66.4%) missing valuesMissing
지번주소 has 28 (6.4%) missing valuesMissing
업태구분명 has 437 (100.0%) missing valuesMissing
판매점영업면적 has 350 (80.1%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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 22 (5.0%) zerosZeros

Reproduction

Analysis started2024-04-29 18:56:47.368751
Analysis finished2024-04-29 18:56:48.192687
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3030000
437 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 437
100.0%

Length

2024-04-30T03:56:48.252559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:48.337042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 437
100.0%

관리번호
Text

UNIQUE 

Distinct437
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-30T03:56:48.492379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters10925
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

Unique437 ?
Unique (%)100.0%

Sample

1st rowPHMH320123030033087500001
2nd rowPHMH320123030033087500002
3rd rowPHMH320123030033087500003
4th rowPHMH320123030033087500004
5th rowPHMH320123030033087500005
ValueCountFrequency (%)
phmh320123030033087500001 1
 
0.2%
phmh320183030033087500015 1
 
0.2%
phmh320193030033087500002 1
 
0.2%
phmh320193030033087500001 1
 
0.2%
phmh320183030033087500037 1
 
0.2%
phmh320183030033087500036 1
 
0.2%
phmh320183030033087500035 1
 
0.2%
phmh320183030033087500034 1
 
0.2%
phmh320183030033087500033 1
 
0.2%
phmh320183030033087500032 1
 
0.2%
Other values (427) 427
97.7%
2024-04-30T03:56:48.764819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3666
33.6%
3 2345
21.5%
H 874
 
8.0%
2 772
 
7.1%
1 536
 
4.9%
5 529
 
4.8%
7 524
 
4.8%
8 515
 
4.7%
P 437
 
4.0%
M 437
 
4.0%
Other values (3) 290
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9177
84.0%
Uppercase Letter 1748
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3666
39.9%
3 2345
25.6%
2 772
 
8.4%
1 536
 
5.8%
5 529
 
5.8%
7 524
 
5.7%
8 515
 
5.6%
4 114
 
1.2%
6 96
 
1.0%
9 80
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 874
50.0%
P 437
25.0%
M 437
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9177
84.0%
Latin 1748
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3666
39.9%
3 2345
25.6%
2 772
 
8.4%
1 536
 
5.8%
5 529
 
5.8%
7 524
 
5.7%
8 515
 
5.6%
4 114
 
1.2%
6 96
 
1.0%
9 80
 
0.9%
Latin
ValueCountFrequency (%)
H 874
50.0%
P 437
25.0%
M 437
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3666
33.6%
3 2345
21.5%
H 874
 
8.0%
2 772
 
7.1%
1 536
 
4.9%
5 529
 
4.8%
7 524
 
4.8%
8 515
 
4.7%
P 437
 
4.0%
M 437
 
4.0%
Other values (3) 290
 
2.7%

인허가일자
Date

Distinct345
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2012-11-08 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T03:56:48.913140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:49.029692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing437
Missing (%)100.0%
Memory size4.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3
226 
1
205 
4
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 226
51.7%
1 205
46.9%
4 5
 
1.1%
2 1
 
0.2%

Length

2024-04-30T03:56:49.148296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:49.238980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 226
51.7%
1 205
46.9%
4 5
 
1.1%
2 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업
226 
영업/정상
205 
취소/말소/만료/정지/중지
 
5
휴업
 
1

Length

Max length14
Median length2
Mean length3.5446224
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 226
51.7%
영업/정상 205
46.9%
취소/말소/만료/정지/중지 5
 
1.1%
휴업 1
 
0.2%

Length

2024-04-30T03:56:49.341318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:49.451170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 226
51.7%
영업/정상 205
46.9%
취소/말소/만료/정지/중지 5
 
1.1%
휴업 1
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3
226 
13
205 
24
 
5
2
 
1

Length

Max length2
Median length1
Mean length1.4805492
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 226
51.7%
13 205
46.9%
24 5
 
1.1%
2 1
 
0.2%

Length

2024-04-30T03:56:49.558568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:49.650503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 226
51.7%
13 205
46.9%
24 5
 
1.1%
2 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업
226 
영업중
205 
직권폐업
 
5
휴업
 
1

Length

Max length4
Median length2
Mean length2.4919908
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 226
51.7%
영업중 205
46.9%
직권폐업 5
 
1.1%
휴업 1
 
0.2%

Length

2024-04-30T03:56:49.748731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:49.841321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 226
51.7%
영업중 205
46.9%
직권폐업 5
 
1.1%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct205
Distinct (%)88.7%
Missing206
Missing (%)47.1%
Memory size3.5 KiB
Minimum2013-11-12 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T03:56:49.938559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:50.062573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
436 
20190107
 
1

Length

Max length8
Median length4
Mean length4.0091533
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 436
99.8%
20190107 1
 
0.2%

Length

2024-04-30T03:56:50.195669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:50.301702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 436
99.8%
20190107 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
436 
20201231
 
1

Length

Max length8
Median length4
Mean length4.0091533
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 436
99.8%
20201231 1
 
0.2%

Length

2024-04-30T03:56:50.417355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:50.519004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 436
99.8%
20201231 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing437
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct170
Distinct (%)93.4%
Missing255
Missing (%)58.4%
Memory size3.5 KiB
2024-04-30T03:56:50.719584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.950549
Min length8

Characters and Unicode

Total characters1993
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

Unique160 ?
Unique (%)87.9%

Sample

1st row02-2282-2439
2nd row02-2237-6930
3rd row02-2282-1013
4th row02-2298-2202
5th row02-2299-0187
ValueCountFrequency (%)
02-463-1313 3
 
1.6%
02-2282-0447 3
 
1.6%
2295-7369 2
 
1.1%
02-2213-6633 2
 
1.1%
535-6103 2
 
1.1%
02-469-2273 2
 
1.1%
02-6454-6148 2
 
1.1%
462-6334 2
 
1.1%
02-2282-2133 2
 
1.1%
02-464-2645 2
 
1.1%
Other values (160) 160
87.9%
2024-04-30T03:56:51.056316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 431
21.6%
- 323
16.2%
0 238
11.9%
4 159
 
8.0%
6 149
 
7.5%
9 128
 
6.4%
1 125
 
6.3%
5 125
 
6.3%
3 124
 
6.2%
8 97
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1670
83.8%
Dash Punctuation 323
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 431
25.8%
0 238
14.3%
4 159
 
9.5%
6 149
 
8.9%
9 128
 
7.7%
1 125
 
7.5%
5 125
 
7.5%
3 124
 
7.4%
8 97
 
5.8%
7 94
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1993
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 431
21.6%
- 323
16.2%
0 238
11.9%
4 159
 
8.0%
6 149
 
7.5%
9 128
 
6.4%
1 125
 
6.3%
5 125
 
6.3%
3 124
 
6.2%
8 97
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 431
21.6%
- 323
16.2%
0 238
11.9%
4 159
 
8.0%
6 149
 
7.5%
9 128
 
6.4%
1 125
 
6.3%
5 125
 
6.3%
3 124
 
6.2%
8 97
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing437
Missing (%)100.0%
Memory size4.0 KiB

소재지우편번호
Text

MISSING 

Distinct66
Distinct (%)44.9%
Missing290
Missing (%)66.4%
Memory size3.5 KiB
2024-04-30T03:56:51.256108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0340136
Min length6

Characters and Unicode

Total characters887
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)19.0%

Sample

1st row133870
2nd row133800
3rd row133839
4th row133871
5th row133-882
ValueCountFrequency (%)
133120 13
 
8.8%
133871 10
 
6.8%
133835 7
 
4.8%
133822 5
 
3.4%
133848 4
 
2.7%
133832 4
 
2.7%
133882 3
 
2.0%
133821 3
 
2.0%
133817 3
 
2.0%
133883 3
 
2.0%
Other values (56) 92
62.6%
2024-04-30T03:56:51.608306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 321
36.2%
1 202
22.8%
8 128
 
14.4%
2 53
 
6.0%
0 49
 
5.5%
7 45
 
5.1%
4 25
 
2.8%
5 23
 
2.6%
6 21
 
2.4%
9 15
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
99.4%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 321
36.4%
1 202
22.9%
8 128
 
14.5%
2 53
 
6.0%
0 49
 
5.6%
7 45
 
5.1%
4 25
 
2.8%
5 23
 
2.6%
6 21
 
2.4%
9 15
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 887
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 321
36.2%
1 202
22.8%
8 128
 
14.4%
2 53
 
6.0%
0 49
 
5.5%
7 45
 
5.1%
4 25
 
2.8%
5 23
 
2.6%
6 21
 
2.4%
9 15
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 321
36.2%
1 202
22.8%
8 128
 
14.4%
2 53
 
6.0%
0 49
 
5.5%
7 45
 
5.1%
4 25
 
2.8%
5 23
 
2.6%
6 21
 
2.4%
9 15
 
1.7%

지번주소
Text

MISSING 

Distinct374
Distinct (%)91.4%
Missing28
Missing (%)6.4%
Memory size3.5 KiB
2024-04-30T03:56:51.847002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length27.075795
Min length17

Characters and Unicode

Total characters11074
Distinct characters231
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)83.1%

Sample

1st row서울특별시 성동구 행당동 322번지 100호
2nd row서울특별시 성동구 금호동1가 103번지
3rd row서울특별시 성동구 옥수동 284번지 3호
4th row서울특별시 성동구 행당동 4번지 11호
5th row서울특별시 성동구 도선동 4번지 3호
ValueCountFrequency (%)
서울특별시 409
 
18.2%
성동구 409
 
18.2%
성수동2가 81
 
3.6%
행당동 62
 
2.8%
1층 60
 
2.7%
성수동1가 60
 
2.7%
용답동 32
 
1.4%
하왕십리동 32
 
1.4%
1호 30
 
1.3%
101호 23
 
1.0%
Other values (512) 1050
46.7%
2024-04-30T03:56:52.204435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1844
 
16.7%
동 875
 
7.9%
1 611
 
5.5%
성 571
 
5.2%
서 431
 
3.9%
울 429
 
3.9%
시 412
 
3.7%
구 410
 
3.7%
특 409
 
3.7%
별 409
 
3.7%
Other values (221) 4673
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6815
61.5%
Decimal Number 2250
 
20.3%
Space Separator 1844
 
16.7%
Uppercase Letter 57
 
0.5%
Dash Punctuation 54
 
0.5%
Lowercase Letter 22
 
0.2%
Other Punctuation 13
 
0.1%
Math Symbol 6
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 875
12.8%
성 571
 
8.4%
서 431
 
6.3%
울 429
 
6.3%
시 412
 
6.0%
구 410
 
6.0%
특 409
 
6.0%
별 409
 
6.0%
호 385
 
5.6%
지 358
 
5.3%
Other values (173) 2126
31.2%
Uppercase Letter
ValueCountFrequency (%)
B 11
19.3%
A 9
15.8%
K 5
8.8%
T 4
 
7.0%
E 4
 
7.0%
C 4
 
7.0%
M 4
 
7.0%
I 2
 
3.5%
J 2
 
3.5%
D 2
 
3.5%
Other values (8) 10
17.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
22.7%
o 4
18.2%
r 3
13.6%
w 2
 
9.1%
h 1
 
4.5%
p 1
 
4.5%
m 1
 
4.5%
a 1
 
4.5%
t 1
 
4.5%
z 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 611
27.2%
2 350
15.6%
3 228
 
10.1%
0 222
 
9.9%
6 165
 
7.3%
5 151
 
6.7%
7 142
 
6.3%
4 139
 
6.2%
9 126
 
5.6%
8 116
 
5.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
1844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6815
61.5%
Common 4177
37.7%
Latin 82
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 875
12.8%
성 571
 
8.4%
서 431
 
6.3%
울 429
 
6.3%
시 412
 
6.0%
구 410
 
6.0%
특 409
 
6.0%
별 409
 
6.0%
호 385
 
5.6%
지 358
 
5.3%
Other values (173) 2126
31.2%
Latin
ValueCountFrequency (%)
B 11
 
13.4%
A 9
 
11.0%
e 5
 
6.1%
K 5
 
6.1%
T 4
 
4.9%
E 4
 
4.9%
o 4
 
4.9%
C 4
 
4.9%
M 4
 
4.9%
r 3
 
3.7%
Other values (22) 29
35.4%
Common
ValueCountFrequency (%)
1844
44.1%
1 611
 
14.6%
2 350
 
8.4%
3 228
 
5.5%
0 222
 
5.3%
6 165
 
4.0%
5 151
 
3.6%
7 142
 
3.4%
4 139
 
3.3%
9 126
 
3.0%
Other values (6) 199
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6815
61.5%
ASCII 4256
38.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1844
43.3%
1 611
 
14.4%
2 350
 
8.2%
3 228
 
5.4%
0 222
 
5.2%
6 165
 
3.9%
5 151
 
3.5%
7 142
 
3.3%
4 139
 
3.3%
9 126
 
3.0%
Other values (36) 278
 
6.5%
Hangul
ValueCountFrequency (%)
동 875
12.8%
성 571
 
8.4%
서 431
 
6.3%
울 429
 
6.3%
시 412
 
6.0%
구 410
 
6.0%
특 409
 
6.0%
별 409
 
6.0%
호 385
 
5.6%
지 358
 
5.3%
Other values (173) 2126
31.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

도로명주소
Text

Distinct394
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-30T03:56:52.467522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length33.892449
Min length22

Characters and Unicode

Total characters14811
Distinct characters275
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)81.5%

Sample

1st row서울특별시 성동구 행당로8길 41-2 (행당동)
2nd row서울특별시 성동구 금호로 172 (금호동1가)
3rd row서울특별시 성동구 독서당로 210 (옥수동)
4th row서울특별시 성동구 마조로1길 32 (행당동)
5th row서울특별시 성동구 왕십리로20길 26 (도선동)
ValueCountFrequency (%)
서울특별시 437
 
15.3%
성동구 437
 
15.3%
1층 164
 
5.7%
성수동2가 86
 
3.0%
행당동 67
 
2.3%
성수동1가 64
 
2.2%
왕십리로 52
 
1.8%
하왕십리동 35
 
1.2%
101호 35
 
1.2%
용답동 34
 
1.2%
Other values (579) 1454
50.8%
2024-04-30T03:56:52.879674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2431
 
16.4%
동 983
 
6.6%
1 877
 
5.9%
성 656
 
4.4%
서 492
 
3.3%
울 471
 
3.2%
시 449
 
3.0%
) 446
 
3.0%
( 445
 
3.0%
, 441
 
3.0%
Other values (265) 7120
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8558
57.8%
Space Separator 2431
 
16.4%
Decimal Number 2287
 
15.4%
Close Punctuation 446
 
3.0%
Open Punctuation 445
 
3.0%
Other Punctuation 441
 
3.0%
Uppercase Letter 104
 
0.7%
Dash Punctuation 60
 
0.4%
Lowercase Letter 28
 
0.2%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 983
 
11.5%
성 656
 
7.7%
서 492
 
5.7%
울 471
 
5.5%
시 449
 
5.2%
구 438
 
5.1%
특 437
 
5.1%
별 437
 
5.1%
로 329
 
3.8%
호 269
 
3.1%
Other values (211) 3597
42.0%
Uppercase Letter
ValueCountFrequency (%)
B 21
20.2%
A 14
13.5%
E 12
11.5%
C 7
 
6.7%
T 7
 
6.7%
R 5
 
4.8%
N 4
 
3.8%
X 4
 
3.8%
K 4
 
3.8%
P 4
 
3.8%
Other values (12) 22
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
o 5
17.9%
r 4
14.3%
w 3
10.7%
c 2
 
7.1%
z 1
 
3.6%
a 1
 
3.6%
h 1
 
3.6%
p 1
 
3.6%
m 1
 
3.6%
Other values (4) 4
14.3%
Decimal Number
ValueCountFrequency (%)
1 877
38.3%
2 352
15.4%
0 255
 
11.1%
3 180
 
7.9%
4 144
 
6.3%
7 106
 
4.6%
6 105
 
4.6%
5 104
 
4.5%
8 88
 
3.8%
9 76
 
3.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 2
33.3%
Space Separator
ValueCountFrequency (%)
2431
100.0%
Close Punctuation
ValueCountFrequency (%)
) 446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 445
100.0%
Other Punctuation
ValueCountFrequency (%)
, 441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8558
57.8%
Common 6115
41.3%
Latin 138
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 983
 
11.5%
성 656
 
7.7%
서 492
 
5.7%
울 471
 
5.5%
시 449
 
5.2%
구 438
 
5.1%
특 437
 
5.1%
별 437
 
5.1%
로 329
 
3.8%
호 269
 
3.1%
Other values (211) 3597
42.0%
Latin
ValueCountFrequency (%)
B 21
 
15.2%
A 14
 
10.1%
E 12
 
8.7%
C 7
 
5.1%
T 7
 
5.1%
e 5
 
3.6%
o 5
 
3.6%
R 5
 
3.6%
Ⅱ 4
 
2.9%
N 4
 
2.9%
Other values (28) 54
39.1%
Common
ValueCountFrequency (%)
2431
39.8%
1 877
 
14.3%
) 446
 
7.3%
( 445
 
7.3%
, 441
 
7.2%
2 352
 
5.8%
0 255
 
4.2%
3 180
 
2.9%
4 144
 
2.4%
7 106
 
1.7%
Other values (6) 438
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8558
57.8%
ASCII 6247
42.2%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2431
38.9%
1 877
 
14.0%
) 446
 
7.1%
( 445
 
7.1%
, 441
 
7.1%
2 352
 
5.6%
0 255
 
4.1%
3 180
 
2.9%
4 144
 
2.3%
7 106
 
1.7%
Other values (42) 570
 
9.1%
Hangul
ValueCountFrequency (%)
동 983
 
11.5%
성 656
 
7.7%
서 492
 
5.7%
울 471
 
5.5%
시 449
 
5.2%
구 438
 
5.1%
특 437
 
5.1%
별 437
 
5.1%
로 329
 
3.8%
호 269
 
3.1%
Other values (211) 3597
42.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 2
33.3%

도로명우편번호
Real number (ℝ)

Distinct109
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11544.307
Minimum4700
Maximum133882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T03:56:53.016915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4703.8
Q14728
median4763
Q34790
95-th percentile133012
Maximum133882
Range129182
Interquartile range (IQR)62

Descriptive statistics

Standard deviation28826.037
Coefficient of variation (CV)2.4969916
Kurtosis14.231945
Mean11544.307
Median Absolute Deviation (MAD)30
Skewness4.0207825
Sum5044862
Variance8.309404 × 108
MonotonicityNot monotonic
2024-04-30T03:56:53.153204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4760 22
 
5.0%
4808 16
 
3.7%
4790 14
 
3.2%
4782 12
 
2.7%
4778 12
 
2.7%
4759 11
 
2.5%
4701 11
 
2.5%
4763 11
 
2.5%
4718 11
 
2.5%
4714 10
 
2.3%
Other values (99) 307
70.3%
ValueCountFrequency (%)
4700 3
 
0.7%
4701 11
2.5%
4702 4
 
0.9%
4703 4
 
0.9%
4704 3
 
0.7%
4706 1
 
0.2%
4707 8
1.8%
4708 2
 
0.5%
4709 7
1.6%
4710 7
1.6%
ValueCountFrequency (%)
133882 2
0.5%
133871 1
0.2%
133870 1
0.2%
133867 1
0.2%
133851 1
0.2%
133848 1
0.2%
133847 1
0.2%
133844 1
0.2%
133840 1
0.2%
133835 1
0.2%

사업장명
Text

Distinct383
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-30T03:56:53.362721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length10.713959
Min length3

Characters and Unicode

Total characters4682
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)77.3%

Sample

1st row씨유 응봉삼거리점
2nd rowGS25 성동효인
3rd row씨유 옥수삼성점
4th row씨유 왕십리한양
5th row세븐일레븐 왕십리성동도선점
ValueCountFrequency (%)
씨유 119
 
14.1%
gs25 90
 
10.7%
지에스25 45
 
5.4%
세븐일레븐 32
 
3.8%
주)코리아세븐 18
 
2.1%
이마트24 18
 
2.1%
미니스톱 12
 
1.4%
cu 9
 
1.1%
㈜코리아세븐 7
 
0.8%
한양제일점 6
 
0.7%
Other values (332) 485
57.7%
2024-04-30T03:56:53.696170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
8.7%
점 382
 
8.2%
2 190
 
4.1%
5 160
 
3.4%
성 151
 
3.2%
씨 142
 
3.0%
유 138
 
2.9%
스 129
 
2.8%
수 120
 
2.6%
S 111
 
2.4%
Other values (237) 2754
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3476
74.2%
Space Separator 405
 
8.7%
Decimal Number 387
 
8.3%
Uppercase Letter 281
 
6.0%
Close Punctuation 54
 
1.2%
Open Punctuation 54
 
1.2%
Other Symbol 15
 
0.3%
Lowercase Letter 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 382
 
11.0%
성 151
 
4.3%
씨 142
 
4.1%
유 138
 
4.0%
스 129
 
3.7%
수 120
 
3.5%
리 108
 
3.1%
븐 96
 
2.8%
지 85
 
2.4%
에 84
 
2.4%
Other values (206) 2041
58.7%
Uppercase Letter
ValueCountFrequency (%)
S 111
39.5%
G 109
38.8%
C 19
 
6.8%
U 18
 
6.4%
K 6
 
2.1%
L 4
 
1.4%
A 3
 
1.1%
M 3
 
1.1%
D 2
 
0.7%
R 2
 
0.7%
Other values (4) 4
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 190
49.1%
5 160
41.3%
4 21
 
5.4%
1 7
 
1.8%
7 4
 
1.0%
3 3
 
0.8%
6 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
u 2
20.0%
c 2
20.0%
n 1
 
10.0%
l 1
 
10.0%
v 1
 
10.0%
Space Separator
ValueCountFrequency (%)
405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3491
74.6%
Common 900
 
19.2%
Latin 291
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 382
 
10.9%
성 151
 
4.3%
씨 142
 
4.1%
유 138
 
4.0%
스 129
 
3.7%
수 120
 
3.4%
리 108
 
3.1%
븐 96
 
2.7%
지 85
 
2.4%
에 84
 
2.4%
Other values (207) 2056
58.9%
Latin
ValueCountFrequency (%)
S 111
38.1%
G 109
37.5%
C 19
 
6.5%
U 18
 
6.2%
K 6
 
2.1%
L 4
 
1.4%
A 3
 
1.0%
e 3
 
1.0%
M 3
 
1.0%
D 2
 
0.7%
Other values (10) 13
 
4.5%
Common
ValueCountFrequency (%)
405
45.0%
2 190
21.1%
5 160
 
17.8%
) 54
 
6.0%
( 54
 
6.0%
4 21
 
2.3%
1 7
 
0.8%
7 4
 
0.4%
3 3
 
0.3%
6 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3476
74.2%
ASCII 1191
 
25.4%
None 15
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
34.0%
2 190
16.0%
5 160
 
13.4%
S 111
 
9.3%
G 109
 
9.2%
) 54
 
4.5%
( 54
 
4.5%
4 21
 
1.8%
C 19
 
1.6%
U 18
 
1.5%
Other values (20) 50
 
4.2%
Hangul
ValueCountFrequency (%)
점 382
 
11.0%
성 151
 
4.3%
씨 142
 
4.1%
유 138
 
4.0%
스 129
 
3.7%
수 120
 
3.5%
리 108
 
3.1%
븐 96
 
2.8%
지 85
 
2.4%
에 84
 
2.4%
Other values (206) 2041
58.7%
None
ValueCountFrequency (%)
㈜ 15
100.0%

최종수정일자
Date

UNIQUE 

Distinct437
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2014-04-22 16:21:15
Maximum2024-04-19 10:11:17
2024-04-30T03:56:53.828690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:54.142302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
I
250 
U
187 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 250
57.2%
U 187
42.8%

Length

2024-04-30T03:56:54.270102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:54.350680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 250
57.2%
u 187
42.8%

데이터갱신일자
Date

Distinct235
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-04-30T03:56:54.438560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:54.570014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing437
Missing (%)100.0%
Memory size4.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct274
Distinct (%)63.3%
Missing4
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean203624.74
Minimum200896.53
Maximum206209.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T03:56:54.709203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200896.53
5-th percentile201611.95
Q1202691.75
median203727.54
Q3204609.83
95-th percentile205563.58
Maximum206209.28
Range5312.748
Interquartile range (IQR)1918.0815

Descriptive statistics

Standard deviation1234.1626
Coefficient of variation (CV)0.0060609659
Kurtosis-0.74458487
Mean203624.74
Median Absolute Deviation (MAD)950.18089
Skewness-0.17340153
Sum88169511
Variance1523157.3
MonotonicityNot monotonic
2024-04-30T03:56:54.826858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204108.263654233 12
 
2.7%
202310.024153 6
 
1.4%
203574.413631591 5
 
1.1%
205005.412995572 5
 
1.1%
204749.401114876 5
 
1.1%
202213.544980732 5
 
1.1%
204197.129084011 4
 
0.9%
205170.446243953 4
 
0.9%
203755.860029725 4
 
0.9%
202401.066045195 4
 
0.9%
Other values (264) 379
86.7%
ValueCountFrequency (%)
200896.532906303 3
0.7%
200951.206580662 2
0.5%
200967.537033206 2
0.5%
201145.389175397 1
 
0.2%
201153.981577199 1
 
0.2%
201157.877298502 3
0.7%
201170.960314149 1
 
0.2%
201186.637524973 1
 
0.2%
201333.589462521 1
 
0.2%
201351.262347 1
 
0.2%
ValueCountFrequency (%)
206209.280864162 1
 
0.2%
206066.311217529 3
0.7%
206045.163471415 1
 
0.2%
205973.255680093 1
 
0.2%
205948.345792507 3
0.7%
205912.571031198 1
 
0.2%
205864.86478267 1
 
0.2%
205810.737642867 1
 
0.2%
205753.250469411 1
 
0.2%
205729.983762483 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct273
Distinct (%)63.0%
Missing4
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean450161.85
Minimum448175.69
Maximum452108.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T03:56:54.957929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448175.69
5-th percentile448542.61
Q1449322.17
median450154.45
Q3451002.81
95-th percentile451594.71
Maximum452108.52
Range3932.8279
Interquartile range (IQR)1680.6425

Descriptive statistics

Standard deviation1016.4616
Coefficient of variation (CV)0.0022579914
Kurtosis-1.2120301
Mean450161.85
Median Absolute Deviation (MAD)848.35343
Skewness-0.067731962
Sum1.9492008 × 108
Variance1033194.1
MonotonicityNot monotonic
2024-04-30T03:56:55.083111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450598.470063263 12
 
2.7%
451594.707188 6
 
1.4%
450978.325893013 5
 
1.1%
449496.502512417 5
 
1.1%
448614.910605472 5
 
1.1%
450230.784375568 5
 
1.1%
449629.197858681 4
 
0.9%
449170.608973189 4
 
0.9%
449359.716395101 4
 
0.9%
451809.190992068 4
 
0.9%
Other values (263) 379
86.7%
ValueCountFrequency (%)
448175.694252303 2
0.5%
448179.869576203 1
 
0.2%
448229.126737125 1
 
0.2%
448252.450316749 1
 
0.2%
448254.576548295 3
0.7%
448258.515774754 1
 
0.2%
448281.204367511 1
 
0.2%
448284.070227546 1
 
0.2%
448332.931076038 1
 
0.2%
448376.093599453 1
 
0.2%
ValueCountFrequency (%)
452108.522149464 1
 
0.2%
452019.558572479 2
0.5%
452019.132498433 2
0.5%
451897.581865192 2
0.5%
451855.094085645 2
0.5%
451824.598496233 2
0.5%
451809.190992068 4
0.9%
451770.023300015 1
 
0.2%
451759.382358319 2
0.5%
451756.144464187 1
 
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)47.1%
Missing350
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean43.881609
Minimum0
Maximum130.91
Zeros22
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T03:56:55.213590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.5
median48
Q366
95-th percentile99
Maximum130.91
Range130.91
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation33.859936
Coefficient of variation (CV)0.77162019
Kurtosis-0.22641395
Mean43.881609
Median Absolute Deviation (MAD)21.52
Skewness0.39885626
Sum3817.7
Variance1146.4952
MonotonicityNot monotonic
2024-04-30T03:56:55.324734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 22
 
5.0%
50.0 8
 
1.8%
33.0 6
 
1.4%
66.0 5
 
1.1%
49.5 4
 
0.9%
73.0 2
 
0.5%
86.0 2
 
0.5%
60.0 2
 
0.5%
22.0 2
 
0.5%
39.0 2
 
0.5%
Other values (31) 32
 
7.3%
(Missing) 350
80.1%
ValueCountFrequency (%)
0.0 22
5.0%
21.0 1
 
0.2%
22.0 2
 
0.5%
30.0 1
 
0.2%
30.38 1
 
0.2%
33.0 6
 
1.4%
34.0 1
 
0.2%
36.0 1
 
0.2%
39.0 2
 
0.5%
40.0 1
 
0.2%
ValueCountFrequency (%)
130.91 1
0.2%
130.0 1
0.2%
124.0 1
0.2%
110.0 1
0.2%
99.0 2
0.5%
95.0 1
0.2%
90.0 1
0.2%
86.0 2
0.5%
84.0 1
0.2%
82.5 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03030000PHMH32012303003308750000120121113<NA>3폐업3폐업20140411<NA><NA><NA><NA><NA>133870서울특별시 성동구 행당동 322번지 100호서울특별시 성동구 행당로8길 41-2 (행당동)133870씨유 응봉삼거리점2014-08-01 10:32:22I2018-08-31 23:59:59.0<NA>202931.789941450419.387013<NA>
13030000PHMH32012303003308750000220121108<NA>3폐업3폐업20160427<NA><NA><NA><NA><NA>133800서울특별시 성동구 금호동1가 103번지서울특별시 성동구 금호로 172 (금호동1가)4721GS25 성동효인2016-04-27 15:35:33I2018-08-31 23:59:59.0<NA>201708.875189450428.486516<NA>
23030000PHMH32012303003308750000320121108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133839서울특별시 성동구 옥수동 284번지 3호서울특별시 성동구 독서당로 210 (옥수동)4734씨유 옥수삼성점2014-07-29 17:18:52I2018-08-31 23:59:59.0<NA>201186.637525449010.903493<NA>
33030000PHMH32012303003308750000420121108<NA>3폐업3폐업20160808<NA><NA><NA><NA><NA>133871서울특별시 성동구 행당동 4번지 11호서울특별시 성동구 마조로1길 32 (행당동)4760씨유 왕십리한양2016-08-08 14:04:29I2018-08-31 23:59:59.0<NA>203417.552375450885.996931<NA>
43030000PHMH3201230300330875000052012-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133-882서울특별시 성동구 도선동 4번지 3호서울특별시 성동구 왕십리로20길 26 (도선동)4709세븐일레븐 왕십리성동도선점2023-12-13 18:05:19U2022-11-01 23:05:00.0<NA>203074.685892451303.525091<NA>
53030000PHMH32012303003308750000620121108<NA>3폐업3폐업20150731<NA><NA><NA><NA><NA>133120서울특별시 성동구 성수동2가 289번지 10호서울특별시 성동구 성수이로 113 (성수동2가)133120미니스톱 성수역점2015-07-31 11:23:08I2018-08-31 23:59:59.0<NA>204976.65205449220.696791<NA>
63030000PHMH32012303003308750000720121108<NA>3폐업3폐업20140905<NA><NA><NA><NA><NA>133070서울특별시 성동구 행당동 17번지 학술정보관서울특별시 성동구 왕십리로 222 (행당동)133070㈜한국미니스톱 한대정보관점2015-01-09 11:45:28I2018-08-31 23:59:59.0<NA>203684.127182450698.570811<NA>
73030000PHMH32012303003308750000820121108<NA>3폐업3폐업20150731<NA><NA><NA><NA><NA>133791서울특별시 성동구 사근동 110번지 한양대복지관서울특별시 성동구 왕십리로 222 (사근동, 한양대복지관)133791미니스톱 한양대복지관점2015-07-31 15:06:25I2018-08-31 23:59:59.0<NA>204108.263654450598.470063<NA>
83030000PHMH32012303003308750000920121108<NA>3폐업3폐업20141104<NA><NA><NA>02-2282-2439<NA>133791서울특별시 성동구 사근동 110번지 한양대학교병원서울특별시 성동구 왕십리로 222 (사근동, 한양대학교병원)133791(주)한국미니스톱 한양대병원점2015-01-09 11:43:08I2018-08-31 23:59:59.0<NA>204108.263654450598.470063<NA>
93030000PHMH32012303003308750001020121108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2237-6930<NA>133803서울특별시 성동구 금호동2가 464번지서울특별시 성동구 무수막길 89 (금호동2가)4726씨유 신금호점2014-08-01 10:36:47I2018-08-31 23:59:59.0<NA>201706.846548450154.000075<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
4273030000PHMH3202330300330875000122023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 66-29 바른이치과서울특별시 성동구 광나루로 319, 바른이치과 1층 (송정동)4801지에스25 성동송정점2023-08-18 17:14:30I2022-12-07 22:00:00.0<NA>205697.619105449572.380946<NA>
4283030000PHMH3202330300330875000132023-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 800-20서울특별시 성동구 마조로15길 5 (마장동)4759지에스25 마장중앙점2023-10-11 10:24:58I2022-10-30 23:04:00.0<NA>203546.801156451260.609052<NA>
4293030000PHMH3202330300330875000142023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 784 세림아파트서울특별시 성동구 마장로42길 14, 세림아파트 지하1층 제01호 (마장동)4757씨유 마장센트럴점2023-11-02 16:20:07I2022-11-01 00:04:00.0<NA>203922.289928451446.838501<NA>
4303030000PHMH3202330300330875000152023-11-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 19-98서울특별시 성동구 마조로 11, 1층 (행당동)4760세븐일레븐 한양제일점2023-11-13 17:01:25I2022-10-31 23:05:00.0<NA>203523.983358450749.018495<NA>
4313030000PHMH3202330300330875000162023-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 사근동 165서울특별시 성동구 사근동8길 12, 1층 (사근동)4762씨유 한양대사근점2023-11-30 16:39:37I2022-11-02 00:02:00.0<NA>204052.346662450873.062398<NA>
4323030000PHMH3202330300330875000172023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-8007<NA><NA>서울특별시 성동구 행당동 227-1서울특별시 성동구 왕십리로 284, 1층 (행당동)4751씨유 행당삼부소월점2023-12-19 10:19:23I2022-11-01 22:01:00.0<NA>203194.269628450837.622653<NA>
4333030000PHMH3202430300330875000012024-01-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동2가 494 동원빌딩, 1층서울특별시 성동구 금호산길 61, 동원빌딩 1층 (금호동2가)4723지에스(GS25) 신금호점2024-01-23 10:57:13I2023-11-30 22:05:00.0<NA>201632.950718450154.454197<NA>
4343030000PHMH3202430300330875000022024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 41-1서울특별시 성동구 용답19길 6-1 (용답동)4805씨유 용답역점2024-02-13 18:10:37I2023-12-01 23:05:00.0<NA>204514.292718451168.913245<NA>
4353030000PHMH3202430300330875000032024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 13-207 서울숲AK밸리 지식산업센터서울특별시 성동구 성수일로 99, 서울숲AK밸리 지식산업센터 1층 109호, 110호 (성수동1가)4790GS25 성수AK점2024-04-18 17:30:45I2023-12-03 22:00:00.0<NA>204455.375284449681.958958<NA>
4363030000PHMH3202430300330875000042024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 277-37 성원상떼뷰오피스텔 1동 1호서울특별시 성동구 아차산로15길 10, 성원상떼뷰오피스텔 1동 1층 1호 (성수동2가)4798씨유 성수성원점2024-04-19 10:11:17I2023-12-03 22:01:00.0<NA>205455.198217449050.405044<NA>