Overview

Dataset statistics

Number of variables26
Number of observations509
Missing cells4379
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.0 KiB
Average record size in memory221.3 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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-16298/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 509 (100.0%) missing valuesMissing
폐업일자 has 231 (45.4%) missing valuesMissing
휴업시작일자 has 509 (100.0%) missing valuesMissing
휴업종료일자 has 509 (100.0%) missing valuesMissing
재개업일자 has 509 (100.0%) missing valuesMissing
전화번호 has 305 (59.9%) missing valuesMissing
소재지면적 has 509 (100.0%) missing valuesMissing
소재지우편번호 has 306 (60.1%) missing valuesMissing
지번주소 has 12 (2.4%) missing valuesMissing
업태구분명 has 509 (100.0%) missing valuesMissing
판매점영업면적 has 469 (92.1%) 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 22 (4.3%) zerosZeros

Reproduction

Analysis started2024-05-11 08:05:13.308863
Analysis finished2024-05-11 08:05:14.126167
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 size4.1 KiB
3120000
509 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 509
100.0%

Length

2024-05-11T17:05:14.211790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:14.324740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 509
100.0%

관리번호
Text

UNIQUE 

Distinct509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T17:05:14.531606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters12725
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

Unique509 ?
Unique (%)100.0%

Sample

1st rowPHMH320113120033087500001
2nd rowPHMH320113120033087500002
3rd rowPHMH320123120033087500001
4th rowPHMH320123120033087500002
5th rowPHMH320123120033087500003
ValueCountFrequency (%)
phmh320113120033087500001 1
 
0.2%
phmh320193120033087500018 1
 
0.2%
phmh320193120033087500015 1
 
0.2%
phmh320193120033087500014 1
 
0.2%
phmh320193120033087500013 1
 
0.2%
phmh320193120033087500012 1
 
0.2%
phmh320193120033087500011 1
 
0.2%
phmh320193120033087500010 1
 
0.2%
phmh320193120033087500009 1
 
0.2%
phmh320193120033087500008 1
 
0.2%
Other values (499) 499
98.0%
2024-05-11T17:05:14.890868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3741
29.4%
3 2204
17.3%
2 1512
11.9%
1 1133
 
8.9%
H 1018
 
8.0%
7 613
 
4.8%
5 605
 
4.8%
8 597
 
4.7%
P 509
 
4.0%
M 509
 
4.0%
Other values (3) 284
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10689
84.0%
Uppercase Letter 2036
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3741
35.0%
3 2204
20.6%
2 1512
14.1%
1 1133
 
10.6%
7 613
 
5.7%
5 605
 
5.7%
8 597
 
5.6%
4 110
 
1.0%
6 91
 
0.9%
9 83
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1018
50.0%
P 509
25.0%
M 509
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10689
84.0%
Latin 2036
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3741
35.0%
3 2204
20.6%
2 1512
14.1%
1 1133
 
10.6%
7 613
 
5.7%
5 605
 
5.7%
8 597
 
5.6%
4 110
 
1.0%
6 91
 
0.9%
9 83
 
0.8%
Latin
ValueCountFrequency (%)
H 1018
50.0%
P 509
25.0%
M 509
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3741
29.4%
3 2204
17.3%
2 1512
11.9%
1 1133
 
8.9%
H 1018
 
8.0%
7 613
 
4.8%
5 605
 
4.8%
8 597
 
4.7%
P 509
 
4.0%
M 509
 
4.0%
Other values (3) 284
 
2.2%

인허가일자
Date

Distinct366
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2012-11-01 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T17:05:15.065337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:15.238543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3
277 
1
231 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 277
54.4%
1 231
45.4%
4 1
 
0.2%

Length

2024-05-11T17:05:15.415468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:15.933588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 277
54.4%
1 231
45.4%
4 1
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
277 
영업/정상
231 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.3850688
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 277
54.4%
영업/정상 231
45.4%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-05-11T17:05:16.075062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:16.204748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 277
54.4%
영업/정상 231
45.4%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3
277 
13
231 
24
 
1

Length

Max length2
Median length1
Mean length1.4557957
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 277
54.4%
13 231
45.4%
24 1
 
0.2%

Length

2024-05-11T17:05:16.328292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:16.459150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 277
54.4%
13 231
45.4%
24 1
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
277 
영업중
231 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4577603
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 277
54.4%
영업중 231
45.4%
직권폐업 1
 
0.2%

Length

2024-05-11T17:05:16.591661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:16.740527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 277
54.4%
영업중 231
45.4%
직권폐업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct249
Distinct (%)89.6%
Missing231
Missing (%)45.4%
Memory size4.1 KiB
Minimum2012-11-16 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T17:05:16.876321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:17.058301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

전화번호
Text

MISSING 

Distinct181
Distinct (%)88.7%
Missing305
Missing (%)59.9%
Memory size4.1 KiB
2024-05-11T17:05:17.442803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.127451
Min length8

Characters and Unicode

Total characters2270
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)77.5%

Sample

1st row02-302-9236
2nd row02-3143-6338
3rd row02-363-7080
4th row070-4406-8752
5th row02-362-8568
ValueCountFrequency (%)
02-312-7771 2
 
1.0%
02-304-8705 2
 
1.0%
02-338-9043 2
 
1.0%
02-302-1189 2
 
1.0%
02-374-2830 2
 
1.0%
02-305-7641 2
 
1.0%
02-3417-0711 2
 
1.0%
02-2227-7820 2
 
1.0%
02-376-7267 2
 
1.0%
02-333-5318 2
 
1.0%
Other values (172) 185
90.2%
2024-05-11T17:05:17.968214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 396
17.4%
2 364
16.0%
0 331
14.6%
3 323
14.2%
7 150
 
6.6%
6 136
 
6.0%
1 132
 
5.8%
9 117
 
5.2%
5 113
 
5.0%
8 103
 
4.5%
Other values (3) 105
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1866
82.2%
Dash Punctuation 396
 
17.4%
Other Punctuation 7
 
0.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 364
19.5%
0 331
17.7%
3 323
17.3%
7 150
8.0%
6 136
 
7.3%
1 132
 
7.1%
9 117
 
6.3%
5 113
 
6.1%
8 103
 
5.5%
4 97
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 396
100.0%
Other Punctuation
ValueCountFrequency (%)
* 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 396
17.4%
2 364
16.0%
0 331
14.6%
3 323
14.2%
7 150
 
6.6%
6 136
 
6.0%
1 132
 
5.8%
9 117
 
5.2%
5 113
 
5.0%
8 103
 
4.5%
Other values (3) 105
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 396
17.4%
2 364
16.0%
0 331
14.6%
3 323
14.2%
7 150
 
6.6%
6 136
 
6.0%
1 132
 
5.8%
9 117
 
5.2%
5 113
 
5.0%
8 103
 
4.5%
Other values (3) 105
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

소재지우편번호
Text

MISSING 

Distinct81
Distinct (%)39.9%
Missing306
Missing (%)60.1%
Memory size4.1 KiB
2024-05-11T17:05:18.273832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0837438
Min length5

Characters and Unicode

Total characters1235
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

Unique40 ?
Unique (%)19.7%

Sample

1st row120800
2nd row120-833
3rd row120825
4th row120040
5th row120825
ValueCountFrequency (%)
120833 12
 
5.9%
120834 10
 
4.9%
120160 8
 
3.9%
120809 8
 
3.9%
120848 7
 
3.4%
120825 6
 
3.0%
120810 6
 
3.0%
120806 6
 
3.0%
120830 6
 
3.0%
120012 6
 
3.0%
Other values (71) 128
63.1%
2024-05-11T17:05:18.792180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 288
23.3%
1 253
20.5%
2 241
19.5%
8 179
14.5%
3 74
 
6.0%
4 42
 
3.4%
6 42
 
3.4%
7 39
 
3.2%
5 34
 
2.8%
9 22
 
1.8%
Other values (2) 21
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1214
98.3%
Dash Punctuation 20
 
1.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 288
23.7%
1 253
20.8%
2 241
19.9%
8 179
14.7%
3 74
 
6.1%
4 42
 
3.5%
6 42
 
3.5%
7 39
 
3.2%
5 34
 
2.8%
9 22
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 288
23.3%
1 253
20.5%
2 241
19.5%
8 179
14.5%
3 74
 
6.0%
4 42
 
3.4%
6 42
 
3.4%
7 39
 
3.2%
5 34
 
2.8%
9 22
 
1.8%
Other values (2) 21
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 288
23.3%
1 253
20.5%
2 241
19.5%
8 179
14.5%
3 74
 
6.0%
4 42
 
3.4%
6 42
 
3.4%
7 39
 
3.2%
5 34
 
2.8%
9 22
 
1.8%
Other values (2) 21
 
1.7%

지번주소
Text

MISSING 

Distinct420
Distinct (%)84.5%
Missing12
Missing (%)2.4%
Memory size4.1 KiB
2024-05-11T17:05:19.239638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length25.207243
Min length15

Characters and Unicode

Total characters12528
Distinct characters205
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

Unique361 ?
Unique (%)72.6%

Sample

1st row서울특별시 서대문구 남가좌동 8번지 25호
2nd row서울특별시 서대문구 창천동 29번지 111호
3rd row서울특별시 서대문구 연희동 134번지 28호
4th row서울특별시 서대문구 천연동 46번지 1층 3호
5th row서울특별시 서대문구 연희동 193번지 17호
ValueCountFrequency (%)
서울특별시 497
19.3%
서대문구 497
19.3%
1층 65
 
2.5%
홍제동 64
 
2.5%
북가좌동 62
 
2.4%
홍은동 61
 
2.4%
창천동 61
 
2.4%
연희동 60
 
2.3%
남가좌동 58
 
2.3%
대현동 41
 
1.6%
Other values (528) 1103
42.9%
2024-05-11T17:05:19.803335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2072
 
16.5%
서 995
 
7.9%
대 567
 
4.5%
동 512
 
4.1%
시 501
 
4.0%
문 499
 
4.0%
구 498
 
4.0%
울 498
 
4.0%
특 497
 
4.0%
별 497
 
4.0%
Other values (195) 5392
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8058
64.3%
Decimal Number 2221
 
17.7%
Space Separator 2072
 
16.5%
Dash Punctuation 102
 
0.8%
Uppercase Letter 54
 
0.4%
Other Punctuation 16
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 995
 
12.3%
대 567
 
7.0%
동 512
 
6.4%
시 501
 
6.2%
문 499
 
6.2%
구 498
 
6.2%
울 498
 
6.2%
특 497
 
6.2%
별 497
 
6.2%
지 386
 
4.8%
Other values (172) 2608
32.4%
Decimal Number
ValueCountFrequency (%)
1 484
21.8%
2 300
13.5%
3 286
12.9%
4 218
9.8%
0 215
9.7%
5 177
 
8.0%
8 142
 
6.4%
7 141
 
6.3%
6 140
 
6.3%
9 118
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
D 17
31.5%
M 15
27.8%
C 15
27.8%
B 3
 
5.6%
J 2
 
3.7%
H 1
 
1.9%
N 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 15
93.8%
& 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2072
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8058
64.3%
Common 4412
35.2%
Latin 58
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 995
 
12.3%
대 567
 
7.0%
동 512
 
6.4%
시 501
 
6.2%
문 499
 
6.2%
구 498
 
6.2%
울 498
 
6.2%
특 497
 
6.2%
별 497
 
6.2%
지 386
 
4.8%
Other values (172) 2608
32.4%
Common
ValueCountFrequency (%)
2072
47.0%
1 484
 
11.0%
2 300
 
6.8%
3 286
 
6.5%
4 218
 
4.9%
0 215
 
4.9%
5 177
 
4.0%
8 142
 
3.2%
7 141
 
3.2%
6 140
 
3.2%
Other values (5) 237
 
5.4%
Latin
ValueCountFrequency (%)
D 17
29.3%
M 15
25.9%
C 15
25.9%
e 4
 
6.9%
B 3
 
5.2%
J 2
 
3.4%
H 1
 
1.7%
N 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8058
64.3%
ASCII 4470
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2072
46.4%
1 484
 
10.8%
2 300
 
6.7%
3 286
 
6.4%
4 218
 
4.9%
0 215
 
4.8%
5 177
 
4.0%
8 142
 
3.2%
7 141
 
3.2%
6 140
 
3.1%
Other values (13) 295
 
6.6%
Hangul
ValueCountFrequency (%)
서 995
 
12.3%
대 567
 
7.0%
동 512
 
6.4%
시 501
 
6.2%
문 499
 
6.2%
구 498
 
6.2%
울 498
 
6.2%
특 497
 
6.2%
별 497
 
6.2%
지 386
 
4.8%
Other values (172) 2608
32.4%

도로명주소
Text

Distinct443
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T17:05:20.167045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length54
Mean length31.915521
Min length22

Characters and Unicode

Total characters16245
Distinct characters246
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

Unique385 ?
Unique (%)75.6%

Sample

1st row서울특별시 서대문구 명지대길 72 (남가좌동)
2nd row서울특별시 서대문구 연세로4길 12 (창천동)
3rd row서울특별시 서대문구 연희맛로 38, 1층 (연희동)
4th row서울특별시 서대문구 독립문로 40, 1층 3호 (천연동)
5th row서울특별시 서대문구 연희로 81-21 (연희동)
ValueCountFrequency (%)
서울특별시 509
 
16.4%
서대문구 509
 
16.4%
1층 164
 
5.3%
북가좌동 65
 
2.1%
홍제동 63
 
2.0%
홍은동 62
 
2.0%
남가좌동 60
 
1.9%
연희동 59
 
1.9%
창천동 59
 
1.9%
대현동 40
 
1.3%
Other values (550) 1523
48.9%
2024-05-11T17:05:20.700655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2604
 
16.0%
서 1036
 
6.4%
1 736
 
4.5%
대 641
 
3.9%
동 568
 
3.5%
문 545
 
3.4%
울 528
 
3.3%
시 515
 
3.2%
구 511
 
3.1%
( 510
 
3.1%
Other values (236) 8051
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9845
60.6%
Space Separator 2604
 
16.0%
Decimal Number 2200
 
13.5%
Open Punctuation 510
 
3.1%
Close Punctuation 510
 
3.1%
Other Punctuation 407
 
2.5%
Uppercase Letter 96
 
0.6%
Dash Punctuation 66
 
0.4%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1036
 
10.5%
대 641
 
6.5%
동 568
 
5.8%
문 545
 
5.5%
울 528
 
5.4%
시 515
 
5.2%
구 511
 
5.2%
별 510
 
5.2%
특 509
 
5.2%
로 449
 
4.6%
Other values (207) 4033
41.0%
Uppercase Letter
ValueCountFrequency (%)
D 25
26.0%
M 23
24.0%
C 23
24.0%
B 13
13.5%
A 3
 
3.1%
K 2
 
2.1%
S 2
 
2.1%
J 2
 
2.1%
H 1
 
1.0%
N 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 736
33.5%
2 298
13.5%
0 270
 
12.3%
3 217
 
9.9%
4 142
 
6.5%
5 135
 
6.1%
7 124
 
5.6%
8 96
 
4.4%
6 93
 
4.2%
9 89
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 406
99.8%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2604
100.0%
Open Punctuation
ValueCountFrequency (%)
( 510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9845
60.6%
Common 6298
38.8%
Latin 102
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1036
 
10.5%
대 641
 
6.5%
동 568
 
5.8%
문 545
 
5.5%
울 528
 
5.4%
시 515
 
5.2%
구 511
 
5.2%
별 510
 
5.2%
특 509
 
5.2%
로 449
 
4.6%
Other values (207) 4033
41.0%
Common
ValueCountFrequency (%)
2604
41.3%
1 736
 
11.7%
( 510
 
8.1%
) 510
 
8.1%
, 406
 
6.4%
2 298
 
4.7%
0 270
 
4.3%
3 217
 
3.4%
4 142
 
2.3%
5 135
 
2.1%
Other values (7) 470
 
7.5%
Latin
ValueCountFrequency (%)
D 25
24.5%
M 23
22.5%
C 23
22.5%
B 13
12.7%
e 6
 
5.9%
A 3
 
2.9%
K 2
 
2.0%
S 2
 
2.0%
J 2
 
2.0%
H 1
 
1.0%
Other values (2) 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9845
60.6%
ASCII 6400
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2604
40.7%
1 736
 
11.5%
( 510
 
8.0%
) 510
 
8.0%
, 406
 
6.3%
2 298
 
4.7%
0 270
 
4.2%
3 217
 
3.4%
4 142
 
2.2%
5 135
 
2.1%
Other values (19) 572
 
8.9%
Hangul
ValueCountFrequency (%)
서 1036
 
10.5%
대 641
 
6.5%
동 568
 
5.8%
문 545
 
5.5%
울 528
 
5.4%
시 515
 
5.2%
구 511
 
5.2%
별 510
 
5.2%
특 509
 
5.2%
로 449
 
4.6%
Other values (207) 4033
41.0%

도로명우편번호
Real number (ℝ)

Distinct172
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14275.817
Minimum3600
Maximum120865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T17:05:20.911907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3600
5-th percentile3622.4
Q13671
median3720
Q33766
95-th percentile120809
Maximum120865
Range117265
Interquartile range (IQR)95

Descriptive statistics

Standard deviation33562.132
Coefficient of variation (CV)2.350978
Kurtosis6.2377379
Mean14275.817
Median Absolute Deviation (MAD)48
Skewness2.8658541
Sum7266391
Variance1.1264167 × 109
MonotonicityNot monotonic
2024-05-11T17:05:21.091625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3766 16
 
3.1%
3722 14
 
2.8%
3780 12
 
2.4%
3709 11
 
2.2%
3665 11
 
2.2%
3721 11
 
2.2%
3777 10
 
2.0%
3789 10
 
2.0%
3711 9
 
1.8%
3787 9
 
1.8%
Other values (162) 396
77.8%
ValueCountFrequency (%)
3600 2
 
0.4%
3602 1
 
0.2%
3604 2
 
0.4%
3605 5
1.0%
3606 3
0.6%
3609 1
 
0.2%
3610 1
 
0.2%
3611 2
 
0.4%
3615 2
 
0.4%
3616 1
 
0.2%
ValueCountFrequency (%)
120865 1
0.2%
120861 1
0.2%
120859 1
0.2%
120858 1
0.2%
120857 1
0.2%
120854 1
0.2%
120848 1
0.2%
120847 1
0.2%
120846 1
0.2%
120836 1
0.2%

사업장명
Text

Distinct446
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T17:05:21.415807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.275049
Min length6

Characters and Unicode

Total characters5739
Distinct characters260
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique394 ?
Unique (%)77.4%

Sample

1st rowCU 명지대원룸점
2nd row세븐일레븐 연대점
3rd rowCU 연희영웅점
4th row코리아세븐 서대문 동명점
5th rowCU 서대문연희점
ValueCountFrequency (%)
gs25 104
 
10.6%
cu 80
 
8.1%
씨유 67
 
6.8%
세븐일레븐 51
 
5.2%
주)코리아세븐 33
 
3.4%
지에스25 30
 
3.0%
지에스(gs)25 20
 
2.0%
미니스톱 14
 
1.4%
주)비지에프리테일 12
 
1.2%
씨유(cu 9
 
0.9%
Other values (369) 564
57.3%
2024-05-11T17:05:21.947202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
 
8.3%
점 469
 
8.2%
2 201
 
3.5%
5 186
 
3.2%
대 160
 
2.8%
븐 145
 
2.5%
S 144
 
2.5%
G 141
 
2.5%
지 139
 
2.4%
세 119
 
2.1%
Other values (250) 3558
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4072
71.0%
Uppercase Letter 537
 
9.4%
Space Separator 477
 
8.3%
Decimal Number 418
 
7.3%
Open Punctuation 110
 
1.9%
Close Punctuation 108
 
1.9%
Other Symbol 8
 
0.1%
Lowercase Letter 8
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 469
 
11.5%
대 160
 
3.9%
븐 145
 
3.6%
지 139
 
3.4%
세 119
 
2.9%
스 115
 
2.8%
가 113
 
2.8%
에 99
 
2.4%
홍 99
 
2.4%
연 96
 
2.4%
Other values (220) 2518
61.8%
Uppercase Letter
ValueCountFrequency (%)
S 144
26.8%
G 141
26.3%
C 116
21.6%
U 111
20.7%
M 8
 
1.5%
D 6
 
1.1%
P 3
 
0.6%
K 2
 
0.4%
R 2
 
0.4%
A 2
 
0.4%
Other values (2) 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 201
48.1%
5 186
44.5%
1 10
 
2.4%
4 10
 
2.4%
3 7
 
1.7%
6 3
 
0.7%
7 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
37.5%
w 1
 
12.5%
s 1
 
12.5%
y 1
 
12.5%
a 1
 
12.5%
d 1
 
12.5%
Space Separator
ValueCountFrequency (%)
477
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4080
71.1%
Common 1114
 
19.4%
Latin 545
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 469
 
11.5%
대 160
 
3.9%
븐 145
 
3.6%
지 139
 
3.4%
세 119
 
2.9%
스 115
 
2.8%
가 113
 
2.8%
에 99
 
2.4%
홍 99
 
2.4%
연 96
 
2.4%
Other values (221) 2526
61.9%
Latin
ValueCountFrequency (%)
S 144
26.4%
G 141
25.9%
C 116
21.3%
U 111
20.4%
M 8
 
1.5%
D 6
 
1.1%
P 3
 
0.6%
e 3
 
0.6%
K 2
 
0.4%
R 2
 
0.4%
Other values (8) 9
 
1.7%
Common
ValueCountFrequency (%)
477
42.8%
2 201
18.0%
5 186
 
16.7%
( 110
 
9.9%
) 108
 
9.7%
1 10
 
0.9%
4 10
 
0.9%
3 7
 
0.6%
6 3
 
0.3%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4072
71.0%
ASCII 1659
28.9%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
28.8%
2 201
12.1%
5 186
 
11.2%
S 144
 
8.7%
G 141
 
8.5%
C 116
 
7.0%
U 111
 
6.7%
( 110
 
6.6%
) 108
 
6.5%
1 10
 
0.6%
Other values (19) 55
 
3.3%
Hangul
ValueCountFrequency (%)
점 469
 
11.5%
대 160
 
3.9%
븐 145
 
3.6%
지 139
 
3.4%
세 119
 
2.9%
스 115
 
2.8%
가 113
 
2.8%
에 99
 
2.4%
홍 99
 
2.4%
연 96
 
2.4%
Other values (220) 2518
61.8%
None
ValueCountFrequency (%)
㈜ 8
100.0%

최종수정일자
Date

UNIQUE 

Distinct509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2014-10-10 15:33:52
Maximum2024-05-02 13:49:09
2024-05-11T17:05:22.162599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:22.361209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
I
258 
U
251 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 258
50.7%
U 251
49.3%

Length

2024-05-11T17:05:22.550731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:22.684635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 258
50.7%
u 251
49.3%

데이터갱신일자
Date

Distinct250
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T17:05:22.824010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:23.004034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing509
Missing (%)100.0%
Memory size4.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct321
Distinct (%)63.2%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean194251.49
Minimum191497.87
Maximum197170.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T17:05:23.168094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191497.87
5-th percentile192188.92
Q1193303.8
median194309.36
Q3195132.51
95-th percentile196622.61
Maximum197170.64
Range5672.7752
Interquartile range (IQR)1828.7033

Descriptive statistics

Standard deviation1280.645
Coefficient of variation (CV)0.0065927166
Kurtosis-0.54659616
Mean194251.49
Median Absolute Deviation (MAD)911.12611
Skewness0.053700731
Sum98679757
Variance1640051.7
MonotonicityNot monotonic
2024-05-11T17:05:23.329663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194584.959249312 16
 
3.1%
192672.067512964 7
 
1.4%
194991.129529772 5
 
1.0%
193249.374273273 4
 
0.8%
194977.058134094 4
 
0.8%
192726.0 4
 
0.8%
194306.920206129 4
 
0.8%
195132.505510061 4
 
0.8%
194842.291232686 4
 
0.8%
193867.14033868 4
 
0.8%
Other values (311) 452
88.8%
ValueCountFrequency (%)
191497.867040904 1
 
0.2%
191559.918118738 1
 
0.2%
191572.384552653 3
0.6%
191686.781357428 2
0.4%
191793.47656279 3
0.6%
191798.272173715 1
 
0.2%
191853.555198776 1
 
0.2%
191962.029803716 1
 
0.2%
191993.362939917 1
 
0.2%
191997.083132782 1
 
0.2%
ValueCountFrequency (%)
197170.642282034 1
 
0.2%
197073.021981074 1
 
0.2%
197064.31975275 2
0.4%
196961.574307652 2
0.4%
196945.454641052 2
0.4%
196921.265890833 1
 
0.2%
196892.09236853 2
0.4%
196889.992166193 1
 
0.2%
196829.272845892 1
 
0.2%
196824.072701729 3
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct321
Distinct (%)63.2%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean452273.54
Minimum450378.77
Maximum455710.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T17:05:23.486319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450378.77
5-th percentile450540.12
Q1451082.93
median452221.96
Q3453290.7
95-th percentile454651.34
Maximum455710.43
Range5331.6563
Interquartile range (IQR)2207.7706

Descriptive statistics

Standard deviation1339.2592
Coefficient of variation (CV)0.0029611708
Kurtosis-0.86573532
Mean452273.54
Median Absolute Deviation (MAD)1091.8851
Skewness0.36078928
Sum2.2975496 × 108
Variance1793615.1
MonotonicityNot monotonic
2024-05-11T17:05:23.658612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451381.585492051 16
 
3.1%
452221.960661496 7
 
1.4%
451320.966530679 5
 
1.0%
452740.258846365 4
 
0.8%
453921.487814219 4
 
0.8%
451998.0 4
 
0.8%
450453.153162074 4
 
0.8%
450552.709689412 4
 
0.8%
450666.510310035 4
 
0.8%
451635.241163248 4
 
0.8%
Other values (311) 452
88.8%
ValueCountFrequency (%)
450378.773651346 1
 
0.2%
450422.374151297 1
 
0.2%
450433.80817938 1
 
0.2%
450453.153162074 4
0.8%
450456.013973086 2
0.4%
450469.610782261 2
0.4%
450491.887936674 1
 
0.2%
450504.59151374 3
0.6%
450507.400045113 3
0.6%
450519.340510648 1
 
0.2%
ValueCountFrequency (%)
455710.429910779 2
0.4%
455436.091152491 1
 
0.2%
455381.480302685 1
 
0.2%
455372.155821625 3
0.6%
455298.773326189 1
 
0.2%
455228.515886138 2
0.4%
455203.422749202 2
0.4%
455134.654298054 2
0.4%
455095.819177181 1
 
0.2%
455031.716730093 1
 
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)42.5%
Missing469
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean41.605
Minimum0
Maximum319.5
Zeros22
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T17:05:23.799297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366
95-th percentile123.83
Maximum319.5
Range319.5
Interquartile range (IQR)66

Descriptive statistics

Standard deviation69.707568
Coefficient of variation (CV)1.6754613
Kurtosis7.6773852
Mean41.605
Median Absolute Deviation (MAD)0
Skewness2.5922007
Sum1664.2
Variance4859.1451
MonotonicityNot monotonic
2024-05-11T17:05:23.953593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 22
 
4.3%
66.0 3
 
0.6%
92.0 1
 
0.2%
265.0 1
 
0.2%
56.7 1
 
0.2%
40.0 1
 
0.2%
116.0 1
 
0.2%
26.4 1
 
0.2%
38.0 1
 
0.2%
116.4 1
 
0.2%
Other values (7) 7
 
1.4%
(Missing) 469
92.1%
ValueCountFrequency (%)
0.0 22
4.3%
26.4 1
 
0.2%
33.0 1
 
0.2%
38.0 1
 
0.2%
40.0 1
 
0.2%
44.0 1
 
0.2%
45.0 1
 
0.2%
56.7 1
 
0.2%
66.0 3
 
0.6%
79.2 1
 
0.2%
ValueCountFrequency (%)
319.5 1
 
0.2%
265.0 1
 
0.2%
116.4 1
 
0.2%
116.0 1
 
0.2%
115.0 1
 
0.2%
92.0 1
 
0.2%
80.0 1
 
0.2%
79.2 1
 
0.2%
66.0 3
0.6%
56.7 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03120000PHMH32011312003308750000120121114<NA>3폐업3폐업20161230<NA><NA><NA>02-302-9236<NA>120800서울특별시 서대문구 남가좌동 8번지 25호서울특별시 서대문구 명지대길 72 (남가좌동)3675CU 명지대원룸점2016-12-30 13:26:51I2018-08-31 23:59:59.0<NA>193167.338439453440.645302<NA>
13120000PHMH3201131200330875000022012-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120-833서울특별시 서대문구 창천동 29번지 111호서울특별시 서대문구 연세로4길 12 (창천동)3779세븐일레븐 연대점2023-12-20 11:40:00U2022-11-01 22:03:00.0<NA>194425.616875450526.795166<NA>
23120000PHMH32012312003308750000120121101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3143-6338<NA>120825서울특별시 서대문구 연희동 134번지 28호서울특별시 서대문구 연희맛로 38, 1층 (연희동)3708CU 연희영웅점2014-10-10 15:33:52I2018-08-31 23:59:59.0<NA>193851.298152451768.302045<NA>
33120000PHMH32012312003308750000220121101<NA>3폐업3폐업20160518<NA><NA><NA>02-363-7080<NA>120040서울특별시 서대문구 천연동 46번지 1층 3호서울특별시 서대문구 독립문로 40, 1층 3호 (천연동)3745코리아세븐 서대문 동명점2016-05-18 17:20:32I2018-08-31 23:59:59.0<NA>196531.780076451822.584379<NA>
43120000PHMH32012312003308750000320121101<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4406-8752<NA>120825서울특별시 서대문구 연희동 193번지 17호서울특별시 서대문구 연희로 81-21 (연희동)3708CU 서대문연희점2015-03-05 15:02:12I2018-08-31 23:59:59.0<NA>193650.967376451507.521435<NA>
53120000PHMH32012312003308750000420121102<NA>3폐업3폐업20150126<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 101번지 10호서울특별시 서대문구 이화여대1길 42-1 (대현동)120809세븐일레븐 배꽃나래점2015-03-05 17:32:50I2018-08-31 23:59:59.0<NA>194928.221089450556.560059<NA>
63120000PHMH32012312003308750000520121102<NA>3폐업3폐업20121116<NA><NA><NA><NA><NA>120806서울특별시 서대문구 남가좌동 324번지 10호서울특별시 서대문구 증가로10길 59 (남가좌동)120806바이더웨이 명지대점2015-03-05 17:48:33I2018-08-31 23:59:59.0<NA>193310.567638453033.327122<NA>
73120000PHMH32012312003308750000620121105<NA>3폐업3폐업20150918<NA><NA><NA>02-362-8568<NA>120808서울특별시 서대문구 대현동 40번지 4호서울특별시 서대문구 이화여대길 7 (대현동)3766미니스톱 이대역점2015-09-18 15:28:25I2018-08-31 23:59:59.0<NA>195132.50551450552.709689<NA>
83120000PHMH32012312003308750000720121105<NA>3폐업3폐업20180329<NA><NA><NA>02-303-2400<NA>120814서울특별시 서대문구 북가좌동 324번지 47호서울특별시 서대문구 응암로1길 20 (북가좌동)3678세븐일레븐 북가좌본점2018-03-29 17:07:17I2018-08-31 23:59:59.0<NA>191997.083133453294.814832<NA>
93120000PHMH32012312003308750000820121105<NA>3폐업3폐업20170516<NA><NA><NA>02-336-5797<NA>120830서울특별시 서대문구 연희동 194번지 40호서울특별시 서대문구 성산로 365-18 (연희동)3726세븐일레븐 동서한방병원점2017-05-16 11:20:58I2018-08-31 23:59:59.0<NA>193736.025015451393.147219<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
4993120000PHMH3202431200330875000052024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 329-8 1층서울특별시 서대문구 증가로 243, 1층 (북가좌동)3678씨유 서대문센터점2024-02-21 16:41:58I2023-12-01 22:04:00.0<NA>192208.019965453383.290789<NA>
5003120000PHMH3202431200330875000062024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 신촌동 134 신촌장례식장 지하 1층서울특별시 서대문구 연세로 50, 연세대학교 신촌장례식장 지하 1층 (신촌동)3722지에스25 연세장례식장 1호점2024-02-26 18:14:32I2023-12-01 22:08:00.0<NA>194584.959249451381.585492<NA>
5013120000PHMH3202431200330875000072024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 172-11 1층 일부서울특별시 서대문구 통일로37길 3, 1층 (홍제동)3646세븐일레븐 홍제동일점2024-03-13 15:22:53I2023-12-02 23:05:00.0<NA>195041.810063453960.704932<NA>
5023120000PHMH3202431200330875000082024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 165-14 1층 101호, 102호서울특별시 서대문구 연희로36길 10, 1층 101호, 102호 (연희동)3718지에스25 서대문구청점2024-03-19 11:06:49I2023-12-02 22:01:00.0<NA>194337.001304452923.136705<NA>
5033120000PHMH3202431200330875000092024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 197-5 1층서울특별시 서대문구 모래내로15길 50, 1층 (남가좌동)3710지에스(GS)25 가재울현대점2024-03-26 16:44:35I2023-12-02 22:08:00.0<NA>192833.410771452401.80857<NA>
5043120000PHMH3202431200330875000102024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 609 1층서울특별시 서대문구 증가로 83, 1층 (연희동)3700지에스(GS)25 서대문연희점2024-04-12 14:31:56I2023-12-03 23:04:00.0<NA>193467.836973452491.540026<NA>
5053120000PHMH3202431200330875000112024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 46-12 우석빌딩 1층서울특별시 서대문구 연세로12길 20, 우석빌딩 1층 (창천동)3776지에스25신촌창천점(서대문지역자활센터2024-04-15 10:50:55I2023-12-03 23:07:00.0<NA>194463.414639450737.013392<NA>
5063120000PHMH3202431200330875000122024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 338-6 1층서울특별시 서대문구 증가로 117, 1층 (남가좌동)3692지에스(GS)25 남가좌점2024-04-22 16:42:38I2023-12-03 22:04:00.0<NA>193249.374273452740.258846<NA>
5073120000PHMH3202431200330875000132024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 57-8 102호서울특별시 서대문구 연세로5가길 1, 102호 (창천동)3789㈜코리아세븐 신촌유플렉스점2024-04-26 16:06:15I2023-12-03 22:08:00.0<NA>194284.63245450533.571812<NA>
5083120000PHMH3202431200330875000142024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 334-85 주영빌딩서울특별시 서대문구 홍제내길 128, 주영빌딩 (홍제동)3640㈜코리아세븐 홍제천점2024-04-26 16:53:24I2023-12-03 22:08:00.0<NA>194340.864881453969.764786<NA>