Overview

Dataset statistics

Number of variables26
Number of observations608
Missing cells5018
Missing cells (%)31.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory130.2 KiB
Average record size in memory219.2 B

Variable types

Categorical6
Text6
DateTime6
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16293/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 608 (100.0%) missing valuesMissing
폐업일자 has 268 (44.1%) missing valuesMissing
휴업시작일자 has 605 (99.5%) missing valuesMissing
휴업종료일자 has 605 (99.5%) missing valuesMissing
재개업일자 has 608 (100.0%) missing valuesMissing
전화번호 has 268 (44.1%) missing valuesMissing
소재지면적 has 608 (100.0%) missing valuesMissing
소재지우편번호 has 395 (65.0%) missing valuesMissing
지번주소 has 15 (2.5%) missing valuesMissing
업태구분명 has 608 (100.0%) missing valuesMissing
판매점영업면적 has 422 (69.4%) 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 86 (14.1%) zerosZeros

Reproduction

Analysis started2024-04-06 13:21:20.039424
Analysis finished2024-04-06 13:21:20.696792
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3070000
608 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 608
100.0%

Length

2024-04-06T22:21:20.766053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:20.872972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 608
100.0%

관리번호
Text

UNIQUE 

Distinct608
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-06T22:21:21.058214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters15200
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

Unique608 ?
Unique (%)100.0%

Sample

1st rowPHMH320123070034087500001
2nd rowPHMH320123070034087500002
3rd rowPHMH320123070034087500003
4th rowPHMH320123070034087500004
5th rowPHMH320123070034087500005
ValueCountFrequency (%)
phmh320123070034087500001 1
 
0.2%
phmh320183070034087500005 1
 
0.2%
phmh320183070034087500014 1
 
0.2%
phmh320173070034087500061 1
 
0.2%
phmh320173070034087500062 1
 
0.2%
phmh320183070034087500001 1
 
0.2%
phmh320183070034087500002 1
 
0.2%
phmh320183070034087500003 1
 
0.2%
phmh320183070034087500004 1
 
0.2%
phmh320183070034087500007 1
 
0.2%
Other values (598) 598
98.4%
2024-04-06T22:21:21.396891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5025
33.1%
3 2056
13.5%
7 1346
 
8.9%
H 1216
 
8.0%
2 1136
 
7.5%
4 767
 
5.0%
5 755
 
5.0%
1 749
 
4.9%
8 709
 
4.7%
P 608
 
4.0%
Other values (3) 833
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12768
84.0%
Uppercase Letter 2432
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5025
39.4%
3 2056
16.1%
7 1346
 
10.5%
2 1136
 
8.9%
4 767
 
6.0%
5 755
 
5.9%
1 749
 
5.9%
8 709
 
5.6%
6 124
 
1.0%
9 101
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1216
50.0%
P 608
25.0%
M 608
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12768
84.0%
Latin 2432
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5025
39.4%
3 2056
16.1%
7 1346
 
10.5%
2 1136
 
8.9%
4 767
 
6.0%
5 755
 
5.9%
1 749
 
5.9%
8 709
 
5.6%
6 124
 
1.0%
9 101
 
0.8%
Latin
ValueCountFrequency (%)
H 1216
50.0%
P 608
25.0%
M 608
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5025
33.1%
3 2056
13.5%
7 1346
 
8.9%
H 1216
 
8.0%
2 1136
 
7.5%
4 767
 
5.0%
5 755
 
5.0%
1 749
 
4.9%
8 709
 
4.7%
P 608
 
4.0%
Other values (3) 833
 
5.5%

인허가일자
Date

Distinct423
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2012-11-05 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T22:21:21.539295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:21.672589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3
333 
1
265 
4
 
7
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 333
54.8%
1 265
43.6%
4 7
 
1.2%
2 3
 
0.5%

Length

2024-04-06T22:21:21.809626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:21.913589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 333
54.8%
1 265
43.6%
4 7
 
1.2%
2 3
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
폐업
333 
영업/정상
265 
취소/말소/만료/정지/중지
 
7
휴업
 
3

Length

Max length14
Median length2
Mean length3.4457237
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 333
54.8%
영업/정상 265
43.6%
취소/말소/만료/정지/중지 7
 
1.2%
휴업 3
 
0.5%

Length

2024-04-06T22:21:22.043428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:22.164562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 333
54.8%
영업/정상 265
43.6%
취소/말소/만료/정지/중지 7
 
1.2%
휴업 3
 
0.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3
333 
13
265 
24
 
7
2
 
3

Length

Max length2
Median length1
Mean length1.4473684
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 333
54.8%
13 265
43.6%
24 7
 
1.2%
2 3
 
0.5%

Length

2024-04-06T22:21:22.286396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:22.423678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 333
54.8%
13 265
43.6%
24 7
 
1.2%
2 3
 
0.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
폐업
333 
영업중
265 
직권폐업
 
7
휴업
 
3

Length

Max length4
Median length2
Mean length2.4588816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 333
54.8%
영업중 265
43.6%
직권폐업 7
 
1.2%
휴업 3
 
0.5%

Length

2024-04-06T22:21:22.577295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:22.708915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 333
54.8%
영업중 265
43.6%
직권폐업 7
 
1.2%
휴업 3
 
0.5%

폐업일자
Date

MISSING 

Distinct308
Distinct (%)90.6%
Missing268
Missing (%)44.1%
Memory size4.9 KiB
Minimum2013-07-25 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T22:21:22.825032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:22.965233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing605
Missing (%)99.5%
Memory size4.9 KiB
Minimum2022-11-02 00:00:00
Maximum2023-12-02 00:00:00
2024-04-06T22:21:23.082034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:23.208887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing605
Missing (%)99.5%
Memory size4.9 KiB
Minimum2024-06-30 00:00:00
Maximum2025-10-31 00:00:00
2024-04-06T22:21:23.348402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:23.442218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

전화번호
Text

MISSING 

Distinct299
Distinct (%)87.9%
Missing268
Missing (%)44.1%
Memory size4.9 KiB
2024-04-06T22:21:23.725307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.776471
Min length8

Characters and Unicode

Total characters3664
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

Unique262 ?
Unique (%)77.1%

Sample

1st row02-922-2341
2nd row02-910-7072
3rd row02-926-2525
4th row07041224127
5th row02-918-2212
ValueCountFrequency (%)
02-928-8767 4
 
1.2%
02-921-9519 3
 
0.9%
02-922-3460 3
 
0.9%
02-6012-6209 2
 
0.6%
02-915-1478 2
 
0.6%
02-942-9552 2
 
0.6%
02-922-7352 2
 
0.6%
02-909-3231 2
 
0.6%
02-909-6570 2
 
0.6%
02-985-5072 2
 
0.6%
Other values (289) 316
92.9%
2024-04-06T22:21:24.127030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 709
19.4%
- 573
15.6%
0 518
14.1%
9 453
12.4%
1 275
 
7.5%
7 230
 
6.3%
4 209
 
5.7%
3 190
 
5.2%
5 181
 
4.9%
8 164
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3091
84.4%
Dash Punctuation 573
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 709
22.9%
0 518
16.8%
9 453
14.7%
1 275
 
8.9%
7 230
 
7.4%
4 209
 
6.8%
3 190
 
6.1%
5 181
 
5.9%
8 164
 
5.3%
6 162
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 573
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 709
19.4%
- 573
15.6%
0 518
14.1%
9 453
12.4%
1 275
 
7.5%
7 230
 
6.3%
4 209
 
5.7%
3 190
 
5.2%
5 181
 
4.9%
8 164
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 709
19.4%
- 573
15.6%
0 518
14.1%
9 453
12.4%
1 275
 
7.5%
7 230
 
6.3%
4 209
 
5.7%
3 190
 
5.2%
5 181
 
4.9%
8 164
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

소재지우편번호
Text

MISSING 

Distinct99
Distinct (%)46.5%
Missing395
Missing (%)65.0%
Memory size4.9 KiB
2024-04-06T22:21:24.438065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0328638
Min length6

Characters and Unicode

Total characters1285
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

Unique53 ?
Unique (%)24.9%

Sample

1st row136052
2nd row136840
3rd row136082
4th row136817
5th row136081
ValueCountFrequency (%)
136130 13
 
6.1%
136075 10
 
4.7%
136051 9
 
4.2%
136860 7
 
3.3%
136819 5
 
2.3%
136120 5
 
2.3%
136052 5
 
2.3%
136053 5
 
2.3%
136849 5
 
2.3%
136034 4
 
1.9%
Other values (89) 145
68.1%
2024-04-06T22:21:24.874049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 287
22.3%
3 271
21.1%
6 236
18.4%
0 140
10.9%
8 103
 
8.0%
5 67
 
5.2%
4 56
 
4.4%
7 48
 
3.7%
2 45
 
3.5%
9 20
 
1.6%
Other values (2) 12
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1273
99.1%
Dash Punctuation 7
 
0.5%
Space Separator 5
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 287
22.5%
3 271
21.3%
6 236
18.5%
0 140
11.0%
8 103
 
8.1%
5 67
 
5.3%
4 56
 
4.4%
7 48
 
3.8%
2 45
 
3.5%
9 20
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1285
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 287
22.3%
3 271
21.1%
6 236
18.4%
0 140
10.9%
8 103
 
8.0%
5 67
 
5.2%
4 56
 
4.4%
7 48
 
3.7%
2 45
 
3.5%
9 20
 
1.6%
Other values (2) 12
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 287
22.3%
3 271
21.1%
6 236
18.4%
0 140
10.9%
8 103
 
8.0%
5 67
 
5.2%
4 56
 
4.4%
7 48
 
3.7%
2 45
 
3.5%
9 20
 
1.6%
Other values (2) 12
 
0.9%

지번주소
Text

MISSING 

Distinct488
Distinct (%)82.3%
Missing15
Missing (%)2.5%
Memory size4.9 KiB
2024-04-06T22:21:25.205630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length24.349073
Min length15

Characters and Unicode

Total characters14439
Distinct characters211
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique406 ?
Unique (%)68.5%

Sample

1st row서울특별시 성북구 동선동2가 11번지
2nd row서울특별시 성북구 정릉동 966번지 101호
3rd row서울특별시 성북구 보문동2가 75번지 15호
4th row서울특별시 성북구 석관동 127번지 76호
5th row서울특별시 성북구 보문동1가 117번지
ValueCountFrequency (%)
서울특별시 593
19.9%
성북구 593
19.9%
정릉동 103
 
3.4%
하월곡동 57
 
1.9%
장위동 51
 
1.7%
종암동 48
 
1.6%
1호 46
 
1.5%
석관동 40
 
1.3%
안암동5가 36
 
1.2%
길음동 33
 
1.1%
Other values (659) 1386
46.4%
2024-04-06T22:21:25.739760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2406
 
16.7%
동 693
 
4.8%
성 621
 
4.3%
1 620
 
4.3%
북 614
 
4.3%
구 596
 
4.1%
시 596
 
4.1%
서 595
 
4.1%
울 594
 
4.1%
별 593
 
4.1%
Other values (201) 6511
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9131
63.2%
Decimal Number 2766
 
19.2%
Space Separator 2406
 
16.7%
Dash Punctuation 88
 
0.6%
Uppercase Letter 26
 
0.2%
Other Punctuation 18
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 693
 
7.6%
성 621
 
6.8%
북 614
 
6.7%
구 596
 
6.5%
시 596
 
6.5%
서 595
 
6.5%
울 594
 
6.5%
별 593
 
6.5%
특 593
 
6.5%
지 483
 
5.3%
Other values (176) 3153
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
19.2%
K 5
19.2%
S 3
11.5%
W 2
 
7.7%
E 2
 
7.7%
I 2
 
7.7%
V 2
 
7.7%
A 2
 
7.7%
P 1
 
3.8%
G 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 620
22.4%
2 419
15.1%
3 281
10.2%
6 255
9.2%
5 249
9.0%
4 240
 
8.7%
0 214
 
7.7%
8 196
 
7.1%
7 163
 
5.9%
9 129
 
4.7%
Space Separator
ValueCountFrequency (%)
2406
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9131
63.2%
Common 5278
36.6%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 693
 
7.6%
성 621
 
6.8%
북 614
 
6.7%
구 596
 
6.5%
시 596
 
6.5%
서 595
 
6.5%
울 594
 
6.5%
별 593
 
6.5%
특 593
 
6.5%
지 483
 
5.3%
Other values (176) 3153
34.5%
Common
ValueCountFrequency (%)
2406
45.6%
1 620
 
11.7%
2 419
 
7.9%
3 281
 
5.3%
6 255
 
4.8%
5 249
 
4.7%
4 240
 
4.5%
0 214
 
4.1%
8 196
 
3.7%
7 163
 
3.1%
Other values (3) 235
 
4.5%
Latin
ValueCountFrequency (%)
B 5
16.7%
K 5
16.7%
e 4
13.3%
S 3
10.0%
W 2
 
6.7%
E 2
 
6.7%
I 2
 
6.7%
V 2
 
6.7%
A 2
 
6.7%
P 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9131
63.2%
ASCII 5308
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2406
45.3%
1 620
 
11.7%
2 419
 
7.9%
3 281
 
5.3%
6 255
 
4.8%
5 249
 
4.7%
4 240
 
4.5%
0 214
 
4.0%
8 196
 
3.7%
7 163
 
3.1%
Other values (15) 265
 
5.0%
Hangul
ValueCountFrequency (%)
동 693
 
7.6%
성 621
 
6.8%
북 614
 
6.7%
구 596
 
6.5%
시 596
 
6.5%
서 595
 
6.5%
울 594
 
6.5%
별 593
 
6.5%
특 593
 
6.5%
지 483
 
5.3%
Other values (176) 3153
34.5%

도로명주소
Text

Distinct512
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-06T22:21:26.068571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length54
Mean length31.276316
Min length21

Characters and Unicode

Total characters19016
Distinct characters250
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique429 ?
Unique (%)70.6%

Sample

1st row서울특별시 성북구 동소문로22길 54 (동선동2가)
2nd row서울특별시 성북구 보국문로32길 3 (정릉동)
3rd row서울특별시 성북구 지봉로 175 (보문동2가)
4th row서울특별시 성북구 한천로78길 49 (석관동)
5th row서울특별시 성북구 보문로26길 2 (보문동1가)
ValueCountFrequency (%)
서울특별시 608
 
16.5%
성북구 608
 
16.5%
1층 198
 
5.4%
정릉동 105
 
2.9%
하월곡동 58
 
1.6%
장위동 51
 
1.4%
종암동 50
 
1.4%
석관동 42
 
1.1%
안암동5가 37
 
1.0%
길음동 35
 
1.0%
Other values (680) 1884
51.3%
2024-04-06T22:21:26.634563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3068
 
16.1%
1 854
 
4.5%
동 825
 
4.3%
북 669
 
3.5%
성 661
 
3.5%
서 618
 
3.2%
시 614
 
3.2%
구 611
 
3.2%
( 610
 
3.2%
) 610
 
3.2%
Other values (240) 9876
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11164
58.7%
Space Separator 3068
 
16.1%
Decimal Number 2970
 
15.6%
Open Punctuation 610
 
3.2%
Close Punctuation 610
 
3.2%
Other Punctuation 486
 
2.6%
Dash Punctuation 68
 
0.4%
Uppercase Letter 34
 
0.2%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 825
 
7.4%
북 669
 
6.0%
성 661
 
5.9%
서 618
 
5.5%
시 614
 
5.5%
구 611
 
5.5%
울 609
 
5.5%
특 608
 
5.4%
별 608
 
5.4%
로 602
 
5.4%
Other values (211) 4739
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
29.4%
A 5
14.7%
K 5
14.7%
S 3
 
8.8%
V 2
 
5.9%
I 2
 
5.9%
E 2
 
5.9%
W 2
 
5.9%
P 1
 
2.9%
G 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 854
28.8%
2 434
14.6%
4 304
 
10.2%
3 267
 
9.0%
0 251
 
8.5%
5 237
 
8.0%
6 186
 
6.3%
7 169
 
5.7%
9 142
 
4.8%
8 126
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 485
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3068
100.0%
Open Punctuation
ValueCountFrequency (%)
( 610
100.0%
Close Punctuation
ValueCountFrequency (%)
) 610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11162
58.7%
Common 7814
41.1%
Latin 38
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 825
 
7.4%
북 669
 
6.0%
성 661
 
5.9%
서 618
 
5.5%
시 614
 
5.5%
구 611
 
5.5%
울 609
 
5.5%
특 608
 
5.4%
별 608
 
5.4%
로 602
 
5.4%
Other values (209) 4737
42.4%
Common
ValueCountFrequency (%)
3068
39.3%
1 854
 
10.9%
( 610
 
7.8%
) 610
 
7.8%
, 485
 
6.2%
2 434
 
5.6%
4 304
 
3.9%
3 267
 
3.4%
0 251
 
3.2%
5 237
 
3.0%
Other values (7) 694
 
8.9%
Latin
ValueCountFrequency (%)
B 10
26.3%
A 5
13.2%
K 5
13.2%
e 4
 
10.5%
S 3
 
7.9%
V 2
 
5.3%
I 2
 
5.3%
E 2
 
5.3%
W 2
 
5.3%
P 1
 
2.6%
Other values (2) 2
 
5.3%
Han
ValueCountFrequency (%)
元 1
50.0%
東 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11162
58.7%
ASCII 7852
41.3%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3068
39.1%
1 854
 
10.9%
( 610
 
7.8%
) 610
 
7.8%
, 485
 
6.2%
2 434
 
5.5%
4 304
 
3.9%
3 267
 
3.4%
0 251
 
3.2%
5 237
 
3.0%
Other values (19) 732
 
9.3%
Hangul
ValueCountFrequency (%)
동 825
 
7.4%
북 669
 
6.0%
성 661
 
5.9%
서 618
 
5.5%
시 614
 
5.5%
구 611
 
5.5%
울 609
 
5.5%
특 608
 
5.4%
별 608
 
5.4%
로 602
 
5.4%
Other values (209) 4737
42.4%
CJK
ValueCountFrequency (%)
元 1
50.0%
東 1
50.0%

도로명우편번호
Real number (ℝ)

Distinct181
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13784.863
Minimum2700
Maximum136890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-06T22:21:26.774471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2700
5-th percentile2710
Q12751
median2811
Q32849.25
95-th percentile136126.5
Maximum136890
Range134190
Interquartile range (IQR)98.25

Descriptive statistics

Standard deviation36742.988
Coefficient of variation (CV)2.6654589
Kurtosis7.3198719
Mean13784.863
Median Absolute Deviation (MAD)46.5
Skewness3.0488794
Sum8381197
Variance1.3500471 × 109
MonotonicityNot monotonic
2024-04-06T22:21:26.917965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2845 16
 
2.6%
2829 16
 
2.6%
2708 15
 
2.5%
2717 12
 
2.0%
2842 12
 
2.0%
2751 11
 
1.8%
2856 10
 
1.6%
2861 9
 
1.5%
2718 9
 
1.5%
2844 9
 
1.5%
Other values (171) 489
80.4%
ValueCountFrequency (%)
2700 2
 
0.3%
2701 1
 
0.2%
2702 3
 
0.5%
2704 1
 
0.2%
2708 15
2.5%
2709 7
1.2%
2710 5
 
0.8%
2711 3
 
0.5%
2712 2
 
0.3%
2713 2
 
0.3%
ValueCountFrequency (%)
136890 1
0.2%
136878 1
0.2%
136872 1
0.2%
136864 1
0.2%
136863 1
0.2%
136861 1
0.2%
136860 2
0.3%
136854 2
0.3%
136849 2
0.3%
136845 1
0.2%

사업장명
Text

Distinct520
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-06T22:21:27.182757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.383224
Min length4

Characters and Unicode

Total characters6313
Distinct characters249
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

Unique447 ?
Unique (%)73.5%

Sample

1st rowCU 동선중앙점
2nd rowCU 정릉청수점
3rd rowCU 보문좋은점
4th row씨유 성북석관점
5th row세븐일레븐 보문역점
ValueCountFrequency (%)
gs25 154
 
13.0%
cu 107
 
9.0%
씨유 75
 
6.3%
세븐일레븐 72
 
6.1%
지에스25 36
 
3.0%
주)코리아세븐 31
 
2.6%
미니스톱 25
 
2.1%
㈜코리아세븐 19
 
1.6%
이마트24 13
 
1.1%
성북석관점 8
 
0.7%
Other values (415) 645
54.4%
2024-04-06T22:21:27.594323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
579
 
9.2%
점 555
 
8.8%
2 230
 
3.6%
5 212
 
3.4%
성 211
 
3.3%
븐 205
 
3.2%
S 177
 
2.8%
G 171
 
2.7%
북 163
 
2.6%
세 129
 
2.0%
Other values (239) 3681
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4509
71.4%
Uppercase Letter 594
 
9.4%
Space Separator 579
 
9.2%
Decimal Number 484
 
7.7%
Close Punctuation 57
 
0.9%
Open Punctuation 57
 
0.9%
Other Symbol 23
 
0.4%
Lowercase Letter 8
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 555
 
12.3%
성 211
 
4.7%
븐 205
 
4.5%
북 163
 
3.6%
세 129
 
2.9%
스 110
 
2.4%
대 97
 
2.2%
리 96
 
2.1%
일 92
 
2.0%
아 89
 
2.0%
Other values (208) 2762
61.3%
Uppercase Letter
ValueCountFrequency (%)
S 177
29.8%
G 171
28.8%
C 113
19.0%
U 111
18.7%
E 7
 
1.2%
K 5
 
0.8%
V 2
 
0.3%
N 2
 
0.3%
L 2
 
0.3%
R 2
 
0.3%
Other values (2) 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 230
47.5%
5 212
43.8%
4 23
 
4.8%
1 9
 
1.9%
7 5
 
1.0%
3 4
 
0.8%
6 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
s 1
12.5%
k 1
12.5%
t 1
12.5%
m 1
12.5%
a 1
12.5%
r 1
12.5%
Space Separator
ValueCountFrequency (%)
579
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4532
71.8%
Common 1179
 
18.7%
Latin 602
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 555
 
12.2%
성 211
 
4.7%
븐 205
 
4.5%
북 163
 
3.6%
세 129
 
2.8%
스 110
 
2.4%
대 97
 
2.1%
리 96
 
2.1%
일 92
 
2.0%
아 89
 
2.0%
Other values (209) 2785
61.5%
Latin
ValueCountFrequency (%)
S 177
29.4%
G 171
28.4%
C 113
18.8%
U 111
18.4%
E 7
 
1.2%
K 5
 
0.8%
V 2
 
0.3%
N 2
 
0.3%
L 2
 
0.3%
e 2
 
0.3%
Other values (9) 10
 
1.7%
Common
ValueCountFrequency (%)
579
49.1%
2 230
 
19.5%
5 212
 
18.0%
) 57
 
4.8%
( 57
 
4.8%
4 23
 
2.0%
1 9
 
0.8%
7 5
 
0.4%
3 4
 
0.3%
- 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4509
71.4%
ASCII 1781
 
28.2%
None 23
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
579
32.5%
2 230
 
12.9%
5 212
 
11.9%
S 177
 
9.9%
G 171
 
9.6%
C 113
 
6.3%
U 111
 
6.2%
) 57
 
3.2%
( 57
 
3.2%
4 23
 
1.3%
Other values (20) 51
 
2.9%
Hangul
ValueCountFrequency (%)
점 555
 
12.3%
성 211
 
4.7%
븐 205
 
4.5%
북 163
 
3.6%
세 129
 
2.9%
스 110
 
2.4%
대 97
 
2.2%
리 96
 
2.1%
일 92
 
2.0%
아 89
 
2.0%
Other values (208) 2762
61.3%
None
ValueCountFrequency (%)
㈜ 23
100.0%

최종수정일자
Date

UNIQUE 

Distinct608
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2013-07-25 11:32:04
Maximum2024-04-03 15:47:42
2024-04-06T22:21:27.727854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:27.862093image/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 size4.9 KiB
U
307 
I
301 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 307
50.5%
I 301
49.5%

Length

2024-04-06T22:21:27.986555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:28.079948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 307
50.5%
i 301
49.5%

데이터갱신일자
Date

Distinct281
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T22:21:28.179803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:28.310431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct391
Distinct (%)64.7%
Missing4
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean202243.65
Minimum199453.36
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-06T22:21:28.431989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199453.36
5-th percentile200166.22
Q1201139.24
median201801.33
Q3203100.81
95-th percentile205218.99
Maximum205996.72
Range6543.3581
Interquartile range (IQR)1961.5659

Descriptive statistics

Standard deviation1484.3181
Coefficient of variation (CV)0.0073392569
Kurtosis-0.41100089
Mean202243.65
Median Absolute Deviation (MAD)928.40973
Skewness0.56607861
Sum1.2215516 × 108
Variance2203200.2
MonotonicityNot monotonic
2024-04-06T22:21:28.556782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202403.554505565 5
 
0.8%
202381.472866174 5
 
0.8%
201695.361119444 5
 
0.8%
199862.191680246 5
 
0.8%
201296.769406153 5
 
0.8%
201098.141324865 4
 
0.7%
199883.860135693 4
 
0.7%
200841.726990037 4
 
0.7%
205218.988065219 4
 
0.7%
202789.692329185 4
 
0.7%
Other values (381) 559
91.9%
ValueCountFrequency (%)
199453.359808072 2
 
0.3%
199479.577924835 1
 
0.2%
199676.017492514 1
 
0.2%
199679.003875933 2
 
0.3%
199806.834071975 1
 
0.2%
199838.527888166 1
 
0.2%
199845.57800062 1
 
0.2%
199846.660165943 1
 
0.2%
199853.320628949 1
 
0.2%
199862.191680246 5
0.8%
ValueCountFrequency (%)
205996.717928956 1
 
0.2%
205733.885475417 3
0.5%
205694.106735866 1
 
0.2%
205663.26961094 1
 
0.2%
205632.223937105 2
0.3%
205619.472933637 1
 
0.2%
205589.472840447 1
 
0.2%
205585.778224201 1
 
0.2%
205557.575136266 2
0.3%
205494.938891359 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct391
Distinct (%)64.7%
Missing4
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean455319.76
Minimum453021.24
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-06T22:21:29.003385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453021.24
5-th percentile453500.24
Q1454326.58
median455525.45
Q3456276.87
95-th percentile456979.55
Maximum457844.35
Range4823.1125
Interquartile range (IQR)1950.2932

Descriptive statistics

Standard deviation1140.8462
Coefficient of variation (CV)0.0025055934
Kurtosis-1.0918525
Mean455319.76
Median Absolute Deviation (MAD)950.68717
Skewness-0.13521989
Sum2.7501313 × 108
Variance1301530
MonotonicityNot monotonic
2024-04-06T22:21:29.152870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455668.405695422 5
 
0.8%
453745.56928222 5
 
0.8%
454822.854721817 5
 
0.8%
456454.932651434 5
 
0.8%
454926.457932808 5
 
0.8%
454118.960336592 4
 
0.7%
456384.737728758 4
 
0.7%
454721.505180141 4
 
0.7%
456220.331943809 4
 
0.7%
454049.551940162 4
 
0.7%
Other values (381) 559
91.9%
ValueCountFrequency (%)
453021.235504972 1
0.2%
453074.904969855 2
0.3%
453092.434673285 2
0.3%
453094.796219 1
0.2%
453106.531159636 2
0.3%
453142.184672866 1
0.2%
453143.824331525 1
0.2%
453158.666975074 2
0.3%
453158.825438589 1
0.2%
453172.532817913 1
0.2%
ValueCountFrequency (%)
457844.348010616 2
0.3%
457579.21641655 1
0.2%
457549.217596192 1
0.2%
457493.870277431 1
0.2%
457493.558010308 1
0.2%
457486.12146569 1
0.2%
457426.160610241 1
0.2%
457394.811380643 1
0.2%
457364.302458108 1
0.2%
457360.617372111 1
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)33.9%
Missing422
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean31.832796
Minimum0
Maximum190
Zeros86
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-06T22:21:29.293437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q355.7
95-th percentile85.8
Maximum190
Range190
Interquartile range (IQR)55.7

Descriptive statistics

Standard deviation34.930528
Coefficient of variation (CV)1.0973126
Kurtosis1.1685597
Mean31.832796
Median Absolute Deviation (MAD)33
Skewness0.94720933
Sum5920.9
Variance1220.1418
MonotonicityNot monotonic
2024-04-06T22:21:29.464757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 86
 
14.1%
49.5 9
 
1.5%
33.0 7
 
1.2%
82.5 6
 
1.0%
66.0 5
 
0.8%
59.4 4
 
0.7%
39.6 3
 
0.5%
56.0 3
 
0.5%
69.3 2
 
0.3%
85.8 2
 
0.3%
Other values (53) 59
 
9.7%
(Missing) 422
69.4%
ValueCountFrequency (%)
0.0 86
14.1%
3.3 1
 
0.2%
21.0 1
 
0.2%
24.0 1
 
0.2%
26.4 1
 
0.2%
33.0 7
 
1.2%
34.0 1
 
0.2%
34.39 1
 
0.2%
36.6 1
 
0.2%
37.24 1
 
0.2%
ValueCountFrequency (%)
190.0 1
0.2%
132.0 1
0.2%
120.0 1
0.2%
111.0 1
0.2%
102.0 1
0.2%
100.0 1
0.2%
99.0 1
0.2%
98.67 1
0.2%
93.9 1
0.2%
85.8 2
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03070000PHMH32012307003408750000120121105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-922-2341<NA>136052서울특별시 성북구 동선동2가 11번지서울특별시 성북구 동소문로22길 54 (동선동2가)2849CU 동선중앙점2021-12-16 10:50:26U2021-12-18 02:40:00.0<NA>201554.329941454266.7300840.0
13070000PHMH32012307003408750000220121105<NA>3폐업3폐업20190717<NA><NA><NA>02-910-7072<NA>136840서울특별시 성북구 정릉동 966번지 101호서울특별시 성북구 보국문로32길 3 (정릉동)2700CU 정릉청수점2019-07-17 14:36:41U2019-07-19 02:40:00.0<NA>200156.48999457209.73881<NA>
23070000PHMH32012307003408750000320121105<NA>3폐업3폐업20191002<NA><NA><NA>02-926-2525<NA>136082서울특별시 성북구 보문동2가 75번지 15호서울특별시 성북구 지봉로 175 (보문동2가)2871CU 보문좋은점2019-10-02 15:06:53U2019-10-04 02:40:00.0<NA>201533.119086453638.774187<NA>
33070000PHMH32012307003408750000420121105<NA>3폐업3폐업20140901<NA><NA><NA><NA><NA>136817서울특별시 성북구 석관동 127번지 76호서울특별시 성북구 한천로78길 49 (석관동)136817씨유 성북석관점2014-09-01 14:13:35I2018-08-31 23:59:59.0<NA>205632.223937456705.302347<NA>
43070000PHMH32012307003408750000520121105<NA>3폐업3폐업20141201<NA><NA><NA>07041224127<NA>136081서울특별시 성북구 보문동1가 117번지서울특별시 성북구 보문로26길 2 (보문동1가)136081세븐일레븐 보문역점2014-12-01 14:42:54I2018-08-31 23:59:59.0<NA>201611.841979453790.163151<NA>
53070000PHMH32012307003408750000620121105<NA>3폐업3폐업20180502<NA><NA><NA>02-918-2212<NA>136731서울특별시 성북구 길음동 1284번지 길음뉴타운8단지 B동 219호서울특별시 성북구 길음로 33, B동 219호 (길음동, 길음뉴타운8단지)2720GS25 길음본점2018-05-02 14:18:02I2018-08-31 23:59:59.0<NA>201514.982796456137.084316<NA>
63070000PHMH32012307003408750000720121105<NA>3폐업3폐업20220113<NA><NA><NA>02-942-8939<NA>136849서울특별시 성북구 정릉동 260번지 117호서울특별시 성북구 보국문로16길 75 (정릉동)2711세븐일레븐 정릉온누리2022-01-13 16:44:48U2022-01-15 02:40:00.0<NA>200827.966732456754.2512430.0
73070000PHMH32012307003408750000820121105<NA>3폐업3폐업20170531<NA><NA><NA>02-6369-4845<NA>136053서울특별시 성북구 동선동3가 76번지서울특별시 성북구 동소문로26가길 40 (동선동3가)2840세븐일레븐 성신여고점2017-05-31 16:45:50I2018-08-31 23:59:59.0<NA>201800.035986454719.929578<NA>
83070000PHMH32012307003408750000920121105<NA>3폐업3폐업20180618<NA><NA><NA><NA><NA>136819서울특별시 성북구 석관동 255번지 10호서울특별시 성북구 돌곶이로23길 3 (석관동)2787세븐일레븐 돌곶이제일점2018-06-18 17:52:58I2018-08-31 23:59:59.0<NA>205014.483293456402.52692<NA>
93070000PHMH32012307003408750001020121105<NA>3폐업3폐업20131203<NA><NA><NA><NA><NA>136843서울특별시 성북구 정릉동 484번지서울특별시 성북구 아리랑로19길 34 (정릉동)136843세븐일레븐 정릉아리랑점2013-12-03 13:32:47I2018-08-31 23:59:59.0<NA>200953.497805455584.928091<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
5983070000PHMH3202330700340875000272023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 239-1 정릉풍림아이원서울특별시 성북구 솔샘로 116, 정릉풍림아이원 제2상가동동 102호 (정릉동)2712지에스25 정릉풍림점2023-09-08 17:40:19I2022-12-08 23:00:00.0<NA>200754.371446457195.351141<NA>
5993070000PHMH3202330700340875000282023-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보문동5가 159-3서울특별시 성북구 보문로 75, 103호 (보문동5가)2872세븐일레븐 보문스텔라점2023-10-04 19:55:22I2022-10-31 00:07:00.0<NA>201775.198602453300.747934<NA>
6003070000PHMH3202330700340875000292023-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 80-3 삼성 래미안아파트서울특별시 성북구 종암로27길 37, 상가동107호 (종암동, 삼성 래미안아파트)2803GS25 종암래미안점2023-10-19 09:28:22I2022-10-30 22:01:00.0<NA>202637.536724455541.762779<NA>
6013070000PHMH3202330700340875000302023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동5가 67-6서울특별시 성북구 보문로40길 29, 1층 (동소문동5가)2846씨유 돈암시장점2023-11-01 10:33:28I2022-11-01 00:03:00.0<NA>201264.948652454424.112492<NA>
6023070000PHMH3202430700340875000012024-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 685-13서울특별시 성북구 솔샘로4길 30, 1층 (정릉동)2710씨유 정릉솔샘점2024-01-02 14:24:06I2023-12-01 00:04:00.0<NA>200495.813674456244.719113<NA>
6033070000PHMH3202430700340875000022024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 10-56서울특별시 성북구 종암로10길 11, 1층 (종암동)2800씨유 성북종암점2024-01-05 14:40:31I2023-12-01 00:07:00.0<NA>203144.689123454858.694211<NA>
6043070000PHMH3202430700340875000032024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 62-8서울특별시 성북구 종암로19길 50, 1층 (종암동)2804(주)코리아세븐 종암아이파크점2024-02-06 17:44:42I2023-12-02 00:08:00.0<NA>202743.960526455085.520405<NA>
6053070000PHMH3202430700340875000042024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동1가 116서울특별시 성북구 성북로2길 60, 1층 (동소문동1가)2833씨유 동소문태양점2024-02-27 11:43:27I2023-12-01 22:09:00.0<NA>200718.316133454196.564162<NA>
6063070000PHMH3202430700340875000052024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 556-52서울특별시 성북구 북악산로 744, 지하1층 (정릉동)2826씨유 북악스카이점2024-03-26 11:01:05I2023-12-02 22:08:00.0<NA>200766.68493455265.507879<NA>
6073070000PHMH3202430700340875000062024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 239 정릉풍림아이원서울특별시 성북구 솔샘로25길 20, 정릉풍림아이원 제상가1동 109호 (정릉동)2702씨유 정릉풍림점2024-04-03 15:47:42I2023-12-04 00:05:00.0<NA>200575.420521457360.617372<NA>