Overview

Dataset statistics

Number of variables26
Number of observations709
Missing cells6066
Missing cells (%)32.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory153.1 KiB
Average record size in memory221.2 B

Variable types

Categorical6
Text6
DateTime4
Unsupported6
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16291/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 709 (100.0%) missing valuesMissing
폐업일자 has 302 (42.6%) missing valuesMissing
휴업시작일자 has 709 (100.0%) missing valuesMissing
휴업종료일자 has 709 (100.0%) missing valuesMissing
재개업일자 has 709 (100.0%) missing valuesMissing
전화번호 has 391 (55.1%) missing valuesMissing
소재지면적 has 709 (100.0%) missing valuesMissing
소재지우편번호 has 432 (60.9%) missing valuesMissing
업태구분명 has 709 (100.0%) missing valuesMissing
판매점영업면적 has 682 (96.2%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매점영업면적 has 20 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:38:14.474674
Analysis finished2024-05-11 06:38:15.461513
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
3050000
709 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 709
100.0%

Length

2024-05-11T15:38:15.584131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:15.787088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 709
100.0%

관리번호
Text

UNIQUE 

Distinct709
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-05-11T15:38:16.087048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters17725
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

Unique709 ?
Unique (%)100.0%

Sample

1st rowPHMH320123050034087500001
2nd rowPHMH320123050034087500002
3rd rowPHMH320123050034087500003
4th rowPHMH320123050034087500004
5th rowPHMH320123050034087500005
ValueCountFrequency (%)
phmh320123050034087500001 1
 
0.1%
phmh320163050034087500029 1
 
0.1%
phmh320183050034087500022 1
 
0.1%
phmh320183050034087500014 1
 
0.1%
phmh320183050034087500015 1
 
0.1%
phmh320183050034087500016 1
 
0.1%
phmh320183050034087500017 1
 
0.1%
phmh320183050034087500018 1
 
0.1%
phmh320183050034087500019 1
 
0.1%
phmh320183050034087500020 1
 
0.1%
Other values (699) 699
98.6%
2024-05-11T15:38:16.733040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5869
33.1%
3 2419
13.6%
5 1620
 
9.1%
H 1418
 
8.0%
2 1244
 
7.0%
4 924
 
5.2%
7 859
 
4.8%
8 831
 
4.7%
1 826
 
4.7%
P 709
 
4.0%
Other values (3) 1006
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14889
84.0%
Uppercase Letter 2836
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5869
39.4%
3 2419
16.2%
5 1620
 
10.9%
2 1244
 
8.4%
4 924
 
6.2%
7 859
 
5.8%
8 831
 
5.6%
1 826
 
5.5%
6 176
 
1.2%
9 121
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1418
50.0%
P 709
25.0%
M 709
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14889
84.0%
Latin 2836
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5869
39.4%
3 2419
16.2%
5 1620
 
10.9%
2 1244
 
8.4%
4 924
 
6.2%
7 859
 
5.8%
8 831
 
5.6%
1 826
 
5.5%
6 176
 
1.2%
9 121
 
0.8%
Latin
ValueCountFrequency (%)
H 1418
50.0%
P 709
25.0%
M 709
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5869
33.1%
3 2419
13.6%
5 1620
 
9.1%
H 1418
 
8.0%
2 1244
 
7.0%
4 924
 
5.2%
7 859
 
4.8%
8 831
 
4.7%
1 826
 
4.7%
P 709
 
4.0%
Other values (3) 1006
 
5.7%

인허가일자
Date

Distinct494
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2012-11-12 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T15:38:17.164712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:17.486682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
3
395 
1
302 
4
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 395
55.7%
1 302
42.6%
4 12
 
1.7%

Length

2024-05-11T15:38:17.744361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:18.019666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 395
55.7%
1 302
42.6%
4 12
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
폐업
395 
영업/정상
302 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length2
Mean length3.4809591
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 395
55.7%
영업/정상 302
42.6%
취소/말소/만료/정지/중지 12
 
1.7%

Length

2024-05-11T15:38:18.408090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:18.634372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 395
55.7%
영업/정상 302
42.6%
취소/말소/만료/정지/중지 12
 
1.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
3
395 
13
302 
24
 
12

Length

Max length2
Median length1
Mean length1.4428773
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 395
55.7%
13 302
42.6%
24 12
 
1.7%

Length

2024-05-11T15:38:18.861790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:19.097478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 395
55.7%
13 302
42.6%
24 12
 
1.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
폐업
395 
영업중
302 
직권폐업
 
12

Length

Max length4
Median length2
Mean length2.4598025
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 395
55.7%
영업중 302
42.6%
직권폐업 12
 
1.7%

Length

2024-05-11T15:38:19.385927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:19.627984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 395
55.7%
영업중 302
42.6%
직권폐업 12
 
1.7%

폐업일자
Date

MISSING 

Distinct352
Distinct (%)86.5%
Missing302
Missing (%)42.6%
Memory size5.7 KiB
Minimum2013-09-30 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:38:19.890797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:20.220921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

전화번호
Text

MISSING 

Distinct299
Distinct (%)94.0%
Missing391
Missing (%)55.1%
Memory size5.7 KiB
2024-05-11T15:38:20.763915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.4213836
Min length8

Characters and Unicode

Total characters2996
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

Unique281 ?
Unique (%)88.4%

Sample

1st row968-5488
2nd row929-8563
3rd row963-5918
4th row2212-0370
5th row967-0867
ValueCountFrequency (%)
2247-1245 3
 
0.9%
2244-1025 2
 
0.6%
922-0490 2
 
0.6%
6010-3663 2
 
0.6%
02-923-6797 2
 
0.6%
957-6190 2
 
0.6%
3394-7596 2
 
0.6%
964-0309 2
 
0.6%
963-0923 2
 
0.6%
922-0711 2
 
0.6%
Other values (289) 297
93.4%
2024-05-11T15:38:21.833082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 587
19.6%
- 408
13.6%
9 307
10.2%
0 258
8.6%
1 231
 
7.7%
4 226
 
7.5%
3 221
 
7.4%
6 216
 
7.2%
7 215
 
7.2%
5 172
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2588
86.4%
Dash Punctuation 408
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 587
22.7%
9 307
11.9%
0 258
10.0%
1 231
 
8.9%
4 226
 
8.7%
3 221
 
8.5%
6 216
 
8.3%
7 215
 
8.3%
5 172
 
6.6%
8 155
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 587
19.6%
- 408
13.6%
9 307
10.2%
0 258
8.6%
1 231
 
7.7%
4 226
 
7.5%
3 221
 
7.4%
6 216
 
7.2%
7 215
 
7.2%
5 172
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 587
19.6%
- 408
13.6%
9 307
10.2%
0 258
8.6%
1 231
 
7.7%
4 226
 
7.5%
3 221
 
7.4%
6 216
 
7.2%
7 215
 
7.2%
5 172
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

소재지우편번호
Text

MISSING 

Distinct90
Distinct (%)32.5%
Missing432
Missing (%)60.9%
Memory size5.7 KiB
2024-05-11T15:38:22.448340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0397112
Min length5

Characters and Unicode

Total characters1673
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

Unique33 ?
Unique (%)11.9%

Sample

1st row130842
2nd row130872
3rd row130820
4th row130756
5th row130820
ValueCountFrequency (%)
130872 15
 
5.4%
130840 12
 
4.3%
130876 11
 
4.0%
130851 11
 
4.0%
130842 10
 
3.6%
130867 9
 
3.2%
130829 8
 
2.9%
130817 7
 
2.5%
130831 6
 
2.2%
130864 6
 
2.2%
Other values (80) 182
65.7%
2024-05-11T15:38:24.089731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 355
21.2%
1 342
20.4%
3 321
19.2%
8 270
16.1%
7 92
 
5.5%
2 84
 
5.0%
4 64
 
3.8%
6 57
 
3.4%
5 51
 
3.0%
9 25
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1661
99.3%
Dash Punctuation 12
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 355
21.4%
1 342
20.6%
3 321
19.3%
8 270
16.3%
7 92
 
5.5%
2 84
 
5.1%
4 64
 
3.9%
6 57
 
3.4%
5 51
 
3.1%
9 25
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 355
21.2%
1 342
20.4%
3 321
19.2%
8 270
16.1%
7 92
 
5.5%
2 84
 
5.0%
4 64
 
3.8%
6 57
 
3.4%
5 51
 
3.0%
9 25
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 355
21.2%
1 342
20.4%
3 321
19.2%
8 270
16.1%
7 92
 
5.5%
2 84
 
5.0%
4 64
 
3.8%
6 57
 
3.4%
5 51
 
3.0%
9 25
 
1.5%

지번주소
Text

Distinct614
Distinct (%)87.0%
Missing3
Missing (%)0.4%
Memory size5.7 KiB
2024-05-11T15:38:24.707511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length26.382436
Min length12

Characters and Unicode

Total characters18626
Distinct characters222
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

Unique536 ?
Unique (%)75.9%

Sample

1st row서울특별시 동대문구 장안동 372번지 5호 장안뉴씨티
2nd row서울특별시 동대문구 회기동 60번지 106호
3rd row서울특별시 동대문구 용두동 102번지 117호
4th row서울특별시 동대문구 답십리동 80번지
5th row서울특별시 동대문구 용두동 104번지 7호
ValueCountFrequency (%)
서울특별시 705
18.3%
동대문구 705
18.3%
장안동 175
 
4.5%
1층 167
 
4.3%
답십리동 92
 
2.4%
전농동 89
 
2.3%
이문동 79
 
2.0%
용두동 69
 
1.8%
휘경동 65
 
1.7%
1호 53
 
1.4%
Other values (692) 1663
43.1%
2024-05-11T15:38:25.723165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3165
 
17.0%
동 1455
 
7.8%
1 921
 
4.9%
문 795
 
4.3%
대 729
 
3.9%
시 716
 
3.8%
울 707
 
3.8%
서 707
 
3.8%
별 705
 
3.8%
구 705
 
3.8%
Other values (212) 8021
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11564
62.1%
Decimal Number 3662
 
19.7%
Space Separator 3165
 
17.0%
Dash Punctuation 134
 
0.7%
Uppercase Letter 66
 
0.4%
Other Punctuation 26
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1455
 
12.6%
문 795
 
6.9%
대 729
 
6.3%
시 716
 
6.2%
울 707
 
6.1%
서 707
 
6.1%
별 705
 
6.1%
구 705
 
6.1%
특 705
 
6.1%
호 643
 
5.6%
Other values (177) 3697
32.0%
Uppercase Letter
ValueCountFrequency (%)
S 10
15.2%
K 9
13.6%
W 6
9.1%
E 5
 
7.6%
M 5
 
7.6%
B 4
 
6.1%
T 4
 
6.1%
O 4
 
6.1%
R 3
 
4.5%
I 3
 
4.5%
Other values (8) 13
19.7%
Decimal Number
ValueCountFrequency (%)
1 921
25.2%
3 469
12.8%
2 461
12.6%
4 354
 
9.7%
0 336
 
9.2%
5 293
 
8.0%
6 212
 
5.8%
7 210
 
5.7%
9 209
 
5.7%
8 197
 
5.4%
Space Separator
ValueCountFrequency (%)
3165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11564
62.1%
Common 6992
37.5%
Latin 70
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1455
 
12.6%
문 795
 
6.9%
대 729
 
6.3%
시 716
 
6.2%
울 707
 
6.1%
서 707
 
6.1%
별 705
 
6.1%
구 705
 
6.1%
특 705
 
6.1%
호 643
 
5.6%
Other values (177) 3697
32.0%
Latin
ValueCountFrequency (%)
S 10
14.3%
K 9
12.9%
W 6
 
8.6%
E 5
 
7.1%
M 5
 
7.1%
B 4
 
5.7%
e 4
 
5.7%
T 4
 
5.7%
O 4
 
5.7%
R 3
 
4.3%
Other values (9) 16
22.9%
Common
ValueCountFrequency (%)
3165
45.3%
1 921
 
13.2%
3 469
 
6.7%
2 461
 
6.6%
4 354
 
5.1%
0 336
 
4.8%
5 293
 
4.2%
6 212
 
3.0%
7 210
 
3.0%
9 209
 
3.0%
Other values (6) 362
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11564
62.1%
ASCII 7062
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3165
44.8%
1 921
 
13.0%
3 469
 
6.6%
2 461
 
6.5%
4 354
 
5.0%
0 336
 
4.8%
5 293
 
4.1%
6 212
 
3.0%
7 210
 
3.0%
9 209
 
3.0%
Other values (25) 432
 
6.1%
Hangul
ValueCountFrequency (%)
동 1455
 
12.6%
문 795
 
6.9%
대 729
 
6.3%
시 716
 
6.2%
울 707
 
6.1%
서 707
 
6.1%
별 705
 
6.1%
구 705
 
6.1%
특 705
 
6.1%
호 643
 
5.6%
Other values (177) 3697
32.0%

도로명주소
Text

Distinct588
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-05-11T15:38:26.361828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length54
Mean length32.691114
Min length22

Characters and Unicode

Total characters23178
Distinct characters257
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

Unique499 ?
Unique (%)70.4%

Sample

1st row서울특별시 동대문구 장한로 105 (장안동, 장안뉴씨티)
2nd row서울특별시 동대문구 회기로 119 (회기동)
3rd row서울특별시 동대문구 천호대로17길 38, 1층 (용두동)
4th row서울특별시 동대문구 전농로10길 20 (답십리동, 청솔2차우성아파트상가동 102호, 101호)
5th row서울특별시 동대문구 왕산로 86 (용두동)
ValueCountFrequency (%)
서울특별시 709
 
15.8%
동대문구 709
 
15.8%
1층 384
 
8.6%
장안동 175
 
3.9%
답십리동 91
 
2.0%
전농동 89
 
2.0%
이문동 79
 
1.8%
101호 73
 
1.6%
용두동 70
 
1.6%
휘경동 66
 
1.5%
Other values (683) 2037
45.4%
2024-05-11T15:38:27.409708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3773
 
16.3%
동 1508
 
6.5%
1 1219
 
5.3%
대 861
 
3.7%
문 857
 
3.7%
시 753
 
3.2%
울 731
 
3.2%
서 731
 
3.2%
, 724
 
3.1%
로 711
 
3.1%
Other values (247) 11310
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13548
58.5%
Space Separator 3773
 
16.3%
Decimal Number 3543
 
15.3%
Other Punctuation 724
 
3.1%
Close Punctuation 710
 
3.1%
Open Punctuation 710
 
3.1%
Uppercase Letter 82
 
0.4%
Dash Punctuation 76
 
0.3%
Math Symbol 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1508
 
11.1%
대 861
 
6.4%
문 857
 
6.3%
시 753
 
5.6%
울 731
 
5.4%
서 731
 
5.4%
로 711
 
5.2%
구 710
 
5.2%
별 709
 
5.2%
특 709
 
5.2%
Other values (212) 5268
38.9%
Uppercase Letter
ValueCountFrequency (%)
S 12
14.6%
K 11
13.4%
M 7
8.5%
A 7
8.5%
W 6
 
7.3%
B 6
 
7.3%
E 5
 
6.1%
T 4
 
4.9%
O 4
 
4.9%
I 4
 
4.9%
Other values (8) 16
19.5%
Decimal Number
ValueCountFrequency (%)
1 1219
34.4%
2 475
 
13.4%
0 386
 
10.9%
3 289
 
8.2%
4 247
 
7.0%
7 208
 
5.9%
8 199
 
5.6%
5 194
 
5.5%
6 187
 
5.3%
9 139
 
3.9%
Space Separator
ValueCountFrequency (%)
3773
100.0%
Other Punctuation
ValueCountFrequency (%)
, 724
100.0%
Close Punctuation
ValueCountFrequency (%)
) 710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 710
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13548
58.5%
Common 9542
41.2%
Latin 88
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1508
 
11.1%
대 861
 
6.4%
문 857
 
6.3%
시 753
 
5.6%
울 731
 
5.4%
서 731
 
5.4%
로 711
 
5.2%
구 710
 
5.2%
별 709
 
5.2%
특 709
 
5.2%
Other values (212) 5268
38.9%
Latin
ValueCountFrequency (%)
S 12
13.6%
K 11
12.5%
M 7
 
8.0%
A 7
 
8.0%
e 6
 
6.8%
W 6
 
6.8%
B 6
 
6.8%
E 5
 
5.7%
T 4
 
4.5%
O 4
 
4.5%
Other values (9) 20
22.7%
Common
ValueCountFrequency (%)
3773
39.5%
1 1219
 
12.8%
, 724
 
7.6%
) 710
 
7.4%
( 710
 
7.4%
2 475
 
5.0%
0 386
 
4.0%
3 289
 
3.0%
4 247
 
2.6%
7 208
 
2.2%
Other values (6) 801
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13548
58.5%
ASCII 9630
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3773
39.2%
1 1219
 
12.7%
, 724
 
7.5%
) 710
 
7.4%
( 710
 
7.4%
2 475
 
4.9%
0 386
 
4.0%
3 289
 
3.0%
4 247
 
2.6%
7 208
 
2.2%
Other values (25) 889
 
9.2%
Hangul
ValueCountFrequency (%)
동 1508
 
11.1%
대 861
 
6.4%
문 857
 
6.3%
시 753
 
5.6%
울 731
 
5.4%
서 731
 
5.4%
로 711
 
5.2%
구 710
 
5.2%
별 709
 
5.2%
특 709
 
5.2%
Other values (212) 5268
38.9%

도로명우편번호
Real number (ℝ)

Distinct213
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13942.606
Minimum2400
Maximum130883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-05-11T15:38:27.691729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2400
5-th percentile2427
Q12492
median2566
Q32624
95-th percentile130839.4
Maximum130883
Range128483
Interquartile range (IQR)132

Descriptive statistics

Standard deviation36528.121
Coefficient of variation (CV)2.6198918
Kurtosis6.4049907
Mean13942.606
Median Absolute Deviation (MAD)62
Skewness2.8960108
Sum9885308
Variance1.3343036 × 109
MonotonicityNot monotonic
2024-05-11T15:38:27.953762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2624 16
 
2.3%
2637 12
 
1.7%
2644 12
 
1.7%
2582 12
 
1.7%
2454 10
 
1.4%
2643 10
 
1.4%
2586 10
 
1.4%
2639 10
 
1.4%
2532 10
 
1.4%
2559 10
 
1.4%
Other values (203) 597
84.2%
ValueCountFrequency (%)
2400 1
 
0.1%
2404 1
 
0.1%
2406 5
0.7%
2407 5
0.7%
2408 2
 
0.3%
2409 6
0.8%
2410 2
 
0.3%
2412 3
0.4%
2418 2
 
0.3%
2419 4
0.6%
ValueCountFrequency (%)
130883 1
 
0.1%
130878 2
 
0.3%
130876 4
0.6%
130875 2
 
0.3%
130874 1
 
0.1%
130873 1
 
0.1%
130872 4
0.6%
130869 2
 
0.3%
130867 5
0.7%
130863 1
 
0.1%

사업장명
Text

Distinct601
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-05-11T15:38:28.409459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.181946
Min length3

Characters and Unicode

Total characters7928
Distinct characters270
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

Unique517 ?
Unique (%)72.9%

Sample

1st row씨유 장안뉴시티점
2nd row씨유 카이스트점
3rd row씨유 용두대박점
4th rowGS25 답십리우성점
5th row씨유 제기역점
ValueCountFrequency (%)
씨유 200
 
14.3%
지에스25 146
 
10.4%
gs25 83
 
5.9%
세븐일레븐 73
 
5.2%
주)코리아세븐 63
 
4.5%
지에스(gs)25 22
 
1.6%
미니스톱 14
 
1.0%
주)비지에프리테일 12
 
0.9%
씨유(cu 9
 
0.6%
지에스25(gs25 9
 
0.6%
Other values (458) 770
55.0%
2024-05-11T15:38:29.188239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
 
8.8%
점 653
 
8.2%
2 303
 
3.8%
5 291
 
3.7%
스 268
 
3.4%
리 231
 
2.9%
씨 223
 
2.8%
지 223
 
2.8%
에 220
 
2.8%
유 220
 
2.8%
Other values (260) 4596
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6008
75.8%
Space Separator 700
 
8.8%
Decimal Number 641
 
8.1%
Uppercase Letter 298
 
3.8%
Close Punctuation 137
 
1.7%
Open Punctuation 137
 
1.7%
Lowercase Letter 5
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 653
 
10.9%
스 268
 
4.5%
리 231
 
3.8%
씨 223
 
3.7%
지 223
 
3.7%
에 220
 
3.7%
유 220
 
3.7%
븐 215
 
3.6%
안 192
 
3.2%
장 173
 
2.9%
Other values (236) 3390
56.4%
Uppercase Letter
ValueCountFrequency (%)
S 134
45.0%
G 121
40.6%
U 13
 
4.4%
C 12
 
4.0%
K 11
 
3.7%
M 3
 
1.0%
J 2
 
0.7%
P 1
 
0.3%
L 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 303
47.3%
5 291
45.4%
1 16
 
2.5%
3 13
 
2.0%
4 9
 
1.4%
6 6
 
0.9%
7 3
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
z 1
20.0%
o 1
20.0%
n 1
20.0%
Space Separator
ValueCountFrequency (%)
700
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6010
75.8%
Common 1615
 
20.4%
Latin 303
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 653
 
10.9%
스 268
 
4.5%
리 231
 
3.8%
씨 223
 
3.7%
지 223
 
3.7%
에 220
 
3.7%
유 220
 
3.7%
븐 215
 
3.6%
안 192
 
3.2%
장 173
 
2.9%
Other values (237) 3392
56.4%
Latin
ValueCountFrequency (%)
S 134
44.2%
G 121
39.9%
U 13
 
4.3%
C 12
 
4.0%
K 11
 
3.6%
M 3
 
1.0%
e 2
 
0.7%
J 2
 
0.7%
P 1
 
0.3%
L 1
 
0.3%
Other values (3) 3
 
1.0%
Common
ValueCountFrequency (%)
700
43.3%
2 303
18.8%
5 291
18.0%
) 137
 
8.5%
( 137
 
8.5%
1 16
 
1.0%
3 13
 
0.8%
4 9
 
0.6%
6 6
 
0.4%
7 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6008
75.8%
ASCII 1918
 
24.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
36.5%
2 303
15.8%
5 291
15.2%
) 137
 
7.1%
( 137
 
7.1%
S 134
 
7.0%
G 121
 
6.3%
1 16
 
0.8%
U 13
 
0.7%
3 13
 
0.7%
Other values (13) 53
 
2.8%
Hangul
ValueCountFrequency (%)
점 653
 
10.9%
스 268
 
4.5%
리 231
 
3.8%
씨 223
 
3.7%
지 223
 
3.7%
에 220
 
3.7%
유 220
 
3.7%
븐 215
 
3.6%
안 192
 
3.2%
장 173
 
2.9%
Other values (236) 3390
56.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct709
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2013-09-05 15:57:12
Maximum2024-05-08 17:32:28
2024-05-11T15:38:29.443628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:29.684317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
I
443 
U
266 

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 443
62.5%
U 266
37.5%

Length

2024-05-11T15:38:29.909632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:30.052463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 443
62.5%
u 266
37.5%

데이터갱신일자
Date

Distinct325
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:38:30.210509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:30.404187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct441
Distinct (%)62.3%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean204772.31
Minimum202034.73
Maximum206590.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-05-11T15:38:30.679217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202034.73
5-th percentile202312.22
Q1204089.82
median205013.92
Q3205757
95-th percentile206282.9
Maximum206590.05
Range4555.3126
Interquartile range (IQR)1667.182

Descriptive statistics

Standard deviation1218.2068
Coefficient of variation (CV)0.0059490794
Kurtosis-0.55752768
Mean204772.31
Median Absolute Deviation (MAD)775.31161
Skewness-0.68995318
Sum1.449788 × 108
Variance1484027.7
MonotonicityNot monotonic
2024-05-11T15:38:30.940109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205271.704936121 9
 
1.3%
202228.865973884 6
 
0.8%
205623.059132399 6
 
0.8%
205652.39234463 6
 
0.8%
204696.572647481 6
 
0.8%
205893.568425533 5
 
0.7%
205478.615377857 5
 
0.7%
204254.260169616 5
 
0.7%
205011.345720858 4
 
0.6%
205834.670344523 4
 
0.6%
Other values (431) 652
92.0%
ValueCountFrequency (%)
202034.733564967 1
 
0.1%
202036.453390905 2
0.3%
202042.817335648 3
0.4%
202061.169089769 1
 
0.1%
202090.987353843 1
 
0.1%
202128.460068469 2
0.3%
202129.122293653 1
 
0.1%
202135.567240557 1
 
0.1%
202136.434632005 3
0.4%
202145.732067019 3
0.4%
ValueCountFrequency (%)
206590.046202018 4
0.6%
206586.572428103 1
 
0.1%
206538.84863498 3
0.4%
206521.405320134 2
0.3%
206484.233644024 4
0.6%
206468.024715364 1
 
0.1%
206461.164033582 1
 
0.1%
206453.980260918 1
 
0.1%
206450.432488236 1
 
0.1%
206444.23682391 3
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct441
Distinct (%)62.3%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean453012.78
Minimum451011.19
Maximum455917.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-05-11T15:38:31.231706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451011.19
5-th percentile451264.38
Q1452132.07
median452778.01
Q3453984.84
95-th percentile455109.28
Maximum455917.55
Range4906.3583
Interquartile range (IQR)1852.7664

Descriptive statistics

Standard deviation1192.8663
Coefficient of variation (CV)0.0026331846
Kurtosis-0.58890248
Mean453012.78
Median Absolute Deviation (MAD)825.56345
Skewness0.4729043
Sum3.2073305 × 108
Variance1422929.9
MonotonicityNot monotonic
2024-05-11T15:38:31.491113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452706.897879436 9
 
1.3%
452515.112988281 6
 
0.8%
455899.982370316 6
 
0.8%
451231.787666259 6
 
0.8%
452195.522783718 6
 
0.8%
451440.0165229 5
 
0.7%
451960.247928086 5
 
0.7%
452250.533691528 5
 
0.7%
451870.778303081 4
 
0.6%
452901.735114953 4
 
0.6%
Other values (431) 652
92.0%
ValueCountFrequency (%)
451011.194201757 2
0.3%
451025.902075739 2
0.3%
451042.369315593 1
 
0.1%
451088.609204795 2
0.3%
451104.428484125 1
 
0.1%
451106.632184873 1
 
0.1%
451118.479199016 2
0.3%
451120.5353714 4
0.6%
451122.642371749 3
0.4%
451128.434521858 2
0.3%
ValueCountFrequency (%)
455917.552544887 3
0.4%
455899.982370316 6
0.8%
455813.713540339 1
 
0.1%
455695.051838894 1
 
0.1%
455689.903962813 2
 
0.3%
455681.221589435 1
 
0.1%
455676.187399755 2
 
0.3%
455664.615303802 1
 
0.1%
455659.620044551 2
 
0.3%
455658.906013827 1
 
0.1%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)25.9%
Missing682
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean20.94963
Minimum0
Maximum132.74
Zeros20
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-05-11T15:38:31.658242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.45
95-th percentile88.2
Maximum132.74
Range132.74
Interquartile range (IQR)21.45

Descriptive statistics

Standard deviation38.751858
Coefficient of variation (CV)1.8497634
Kurtosis1.5445335
Mean20.94963
Median Absolute Deviation (MAD)0
Skewness1.6459736
Sum565.64
Variance1501.7065
MonotonicityNot monotonic
2024-05-11T15:38:31.810486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 20
 
2.8%
83.0 2
 
0.3%
50.0 1
 
0.1%
42.9 1
 
0.1%
90.0 1
 
0.1%
132.74 1
 
0.1%
84.0 1
 
0.1%
(Missing) 682
96.2%
ValueCountFrequency (%)
0.0 20
2.8%
42.9 1
 
0.1%
50.0 1
 
0.1%
83.0 2
 
0.3%
84.0 1
 
0.1%
90.0 1
 
0.1%
132.74 1
 
0.1%
ValueCountFrequency (%)
132.74 1
 
0.1%
90.0 1
 
0.1%
84.0 1
 
0.1%
83.0 2
 
0.3%
50.0 1
 
0.1%
42.9 1
 
0.1%
0.0 20
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03050000PHMH32012305003408750000120121112<NA>3폐업3폐업20141201<NA><NA><NA><NA><NA>130842서울특별시 동대문구 장안동 372번지 5호 장안뉴씨티서울특별시 동대문구 장한로 105 (장안동, 장안뉴씨티)130842씨유 장안뉴시티점2014-12-12 10:57:57I2018-08-31 23:59:59.0<NA>206109.658526451980.135832<NA>
13050000PHMH32012305003408750000220121112<NA>1영업/정상13영업중<NA><NA><NA><NA>968-5488<NA>130872서울특별시 동대문구 회기동 60번지 106호서울특별시 동대문구 회기로 119 (회기동)2454씨유 카이스트점2013-09-05 15:57:12I2018-08-31 23:59:59.0<NA>204334.60991454368.090174<NA>
23050000PHMH32012305003408750000320121112<NA>3폐업3폐업20161214<NA><NA><NA><NA><NA>130820서울특별시 동대문구 용두동 102번지 117호서울특별시 동대문구 천호대로17길 38, 1층 (용두동)2585씨유 용두대박점2016-12-14 15:14:44I2018-08-31 23:59:59.0<NA>202797.691719452606.944242<NA>
33050000PHMH32012305003408750000420121112<NA>3폐업3폐업20130930<NA><NA><NA><NA><NA>130756서울특별시 동대문구 답십리동 80번지서울특별시 동대문구 전농로10길 20 (답십리동, 청솔2차우성아파트상가동 102호, 101호)130756GS25 답십리우성점2013-09-30 14:23:43I2018-08-31 23:59:59.0<NA>205208.16745452466.868526<NA>
43050000PHMH32012305003408750000520121114<NA>3폐업3폐업20131031<NA><NA><NA>929-8563<NA>130820서울특별시 동대문구 용두동 104번지 7호서울특별시 동대문구 왕산로 86 (용두동)130820씨유 제기역점2013-11-01 16:15:51I2018-08-31 23:59:59.0<NA>202918.112297453137.211563<NA>
53050000PHMH32012305003408750000620121112<NA>3폐업3폐업20171018<NA><NA><NA>963-5918<NA>130827서울특별시 동대문구 이문동 170번지 43호서울특별시 동대문구 이문로42길 69 (이문동)2410GS25 신이문역점2017-10-18 15:46:05I2018-08-31 23:59:59.0<NA>205763.168122455404.647692<NA>
63050000PHMH32012305003408750000720121112<NA>3폐업3폐업20150902<NA><NA><NA>2212-0370<NA>130842서울특별시 동대문구 장안동 374번지 3호 가나빌딩 1층서울특별시 동대문구 장한로 77, 1층 (장안동, 가나빌딩)2625세븐일레븐 장안중앙점2015-09-07 13:04:26I2018-08-31 23:59:59.0<NA>205982.759361451734.237204<NA>
73050000PHMH32012305003408750000820121112<NA>1영업/정상13영업중<NA><NA><NA><NA>967-0867<NA>130829서울특별시 동대문구 이문동 264번지 211호서울특별시 동대문구 천장산로7길 8 (이문동)2449씨유 이문1호점2013-11-28 15:53:17I2018-08-31 23:59:59.0<NA>204997.899203455149.120632<NA>
83050000PHMH32012305003408750000920121112<NA>3폐업3폐업20170210<NA><NA><NA>3394-4868<NA>130858서울특별시 동대문구 전농동 567번지 8호 1층서울특별시 동대문구 서울시립대로 88-1, 1층 (전농동)2551세븐일레븐 전농가로수점2017-02-10 10:29:13I2018-08-31 23:59:59.0<NA>204341.248956452933.203258<NA>
93050000PHMH32012305003408750001020121112<NA>3폐업3폐업20190226<NA><NA><NA>2249-7422<NA>130840서울특별시 동대문구 장안동 368번지 4호 장안빌딩 107호서울특별시 동대문구 장한로 130 (장안동)2637세븐일레븐 장안바우점2019-02-26 13:15:53U2019-02-28 02:40:00.0<NA>206279.689993452172.45318<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
6993050000PHMH3202430500340875000102024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 93-43서울특별시 동대문구 사가정로25길 34, 1층 101호 (장안동)2515지에스(GS)25 장안주공2024-03-05 15:22:19I2023-12-03 00:07:00.0<NA>206190.228695453109.711082<NA>
7003050000PHMH3202430500340875000112024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 286-334서울특별시 동대문구 망우로16길 26, 1층 (휘경동)2496씨유 휘경점2024-03-22 17:18:40I2023-12-02 22:04:00.0<NA>205326.014468454077.422005<NA>
7013050000PHMH3202430500340875000122024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1577-8007<NA><NA>서울특별시 동대문구 이문동 264-445서울특별시 동대문구 천장산로 47, 1층 나 12, 13호 (이문동)2448씨유(CU) 이문삼성2024-03-27 11:33:47I2023-12-02 22:09:00.0<NA>204991.594355455332.294542<NA>
7023050000PHMH3202430500340875000132024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 39-419서울특별시 동대문구 천호대로31길 50 (용두동)2562지에스(GS)25 동대문용두2024-03-29 16:05:12I2023-12-02 21:01:00.0<NA>203589.797341452591.266044<NA>
7033050000PHMH3202430500340875000142024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 117-12 신설동 지웰홈스서울특별시 동대문구 난계로 242, 104,105호 (신설동, 신설동 지웰홈스)2586지에스(GS)25 동대문지웰2024-03-29 16:24:51I2023-12-02 21:01:00.0<NA>202036.453391452307.687696<NA>
7043050000PHMH3202430500340875000152024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 309-4서울특별시 동대문구 장한로28가길 1 (장안동)2523지에스25 장안장평점2024-04-02 15:18:34I2023-12-04 00:04:00.0<NA>206329.469799452312.085255<NA>
7053050000PHMH3202430500340875000162024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 535서울특별시 동대문구 한천로 146, 1층 우측 전부 (장안동)2529(주)코리아세븐 장안센트럴점2024-04-03 17:39:03I2023-12-04 00:05:00.0<NA>205867.033392452405.471472<NA>
7063050000PHMH3202430500340875000172024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 765 대원빌딩서울특별시 동대문구 한천로 107-3, 대원빌딩 1층 (답십리동)2610씨유 답십리대림점2024-04-17 16:12:03I2023-12-03 23:09:00.0<NA>205661.548239452069.966458<NA>
7073050000PHMH3202430500340875000182024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 424-7서울특별시 동대문구 장한로5길 16, 1동 (장안동)2629씨유(CU) 장안지우점2024-04-22 16:17:57I2023-12-03 22:04:00.0<NA>205722.737527451359.751072<NA>
7083050000PHMH3202430500340875000192024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 148-41서울특별시 동대문구 약령시로 7 (제기동)2477씨유 안암로타리점2024-04-23 11:00:25I2023-12-03 22:05:00.0<NA>202633.567387453392.902949<NA>