Overview

Dataset statistics

Number of variables26
Number of observations400
Missing cells3216
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.5 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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16295/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 400 (100.0%) missing valuesMissing
폐업일자 has 194 (48.5%) missing valuesMissing
휴업시작일자 has 400 (100.0%) missing valuesMissing
휴업종료일자 has 400 (100.0%) missing valuesMissing
재개업일자 has 400 (100.0%) missing valuesMissing
전화번호 has 163 (40.8%) missing valuesMissing
소재지면적 has 400 (100.0%) missing valuesMissing
소재지우편번호 has 236 (59.0%) missing valuesMissing
지번주소 has 6 (1.5%) missing valuesMissing
업태구분명 has 400 (100.0%) missing valuesMissing
판매점영업면적 has 215 (53.8%) 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 19 (4.8%) zerosZeros

Reproduction

Analysis started2024-05-11 08:03:07.001497
Analysis finished2024-05-11 08:03:07.558088
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3090000
400 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 400
100.0%

Length

2024-05-11T17:03:07.632317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:03:07.736097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 400
100.0%

관리번호
Text

UNIQUE 

Distinct400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T17:03:07.939518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters10000
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

Unique400 ?
Unique (%)100.0%

Sample

1st rowPHMH320123090033087500001
2nd rowPHMH320123090033087500002
3rd rowPHMH320123090033087500003
4th rowPHMH320123090033087500004
5th rowPHMH320123090033087500005
ValueCountFrequency (%)
phmh320123090033087500001 1
 
0.2%
phmh320183090033087500011 1
 
0.2%
phmh320193090033087500003 1
 
0.2%
phmh320193090033087500002 1
 
0.2%
phmh320193090033087500001 1
 
0.2%
phmh320183090033087500019 1
 
0.2%
phmh320183090033087500018 1
 
0.2%
phmh320183090033087500017 1
 
0.2%
phmh320183090033087500016 1
 
0.2%
phmh320183090033087500015 1
 
0.2%
Other values (390) 390
97.5%
2024-05-11T17:03:08.334454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3375
33.8%
3 1710
17.1%
H 800
 
8.0%
2 753
 
7.5%
1 506
 
5.1%
5 483
 
4.8%
7 474
 
4.7%
9 471
 
4.7%
8 466
 
4.7%
P 400
 
4.0%
Other values (3) 562
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8400
84.0%
Uppercase Letter 1600
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3375
40.2%
3 1710
20.4%
2 753
 
9.0%
1 506
 
6.0%
5 483
 
5.8%
7 474
 
5.6%
9 471
 
5.6%
8 466
 
5.5%
4 82
 
1.0%
6 80
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
H 800
50.0%
P 400
25.0%
M 400
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8400
84.0%
Latin 1600
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3375
40.2%
3 1710
20.4%
2 753
 
9.0%
1 506
 
6.0%
5 483
 
5.8%
7 474
 
5.6%
9 471
 
5.6%
8 466
 
5.5%
4 82
 
1.0%
6 80
 
1.0%
Latin
ValueCountFrequency (%)
H 800
50.0%
P 400
25.0%
M 400
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3375
33.8%
3 1710
17.1%
H 800
 
8.0%
2 753
 
7.5%
1 506
 
5.1%
5 483
 
4.8%
7 474
 
4.7%
9 471
 
4.7%
8 466
 
4.7%
P 400
 
4.0%
Other values (3) 562
 
5.6%

인허가일자
Date

Distinct278
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2012-11-01 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T17:03:08.507717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:03:08.716256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
199 
1
194 
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 199
49.8%
1 194
48.5%
4 7
 
1.8%

Length

2024-05-11T17:03:08.874789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:03:08.995316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 199
49.8%
1 194
48.5%
4 7
 
1.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
199 
영업/정상
194 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length5
Mean length3.665
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 199
49.8%
영업/정상 194
48.5%
취소/말소/만료/정지/중지 7
 
1.8%

Length

2024-05-11T17:03:09.122217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:03:09.234963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 199
49.8%
영업/정상 194
48.5%
취소/말소/만료/정지/중지 7
 
1.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
199 
13
194 
24
 
7

Length

Max length2
Median length2
Mean length1.5025
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 199
49.8%
13 194
48.5%
24 7
 
1.8%

Length

2024-05-11T17:03:09.373301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:03:09.494795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 199
49.8%
13 194
48.5%
24 7
 
1.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
199 
영업중
194 
직권폐업
 
7

Length

Max length4
Median length3
Mean length2.52
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 199
49.8%
영업중 194
48.5%
직권폐업 7
 
1.8%

Length

2024-05-11T17:03:09.629344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:03:09.756221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 199
49.8%
영업중 194
48.5%
직권폐업 7
 
1.8%

폐업일자
Date

MISSING 

Distinct189
Distinct (%)91.7%
Missing194
Missing (%)48.5%
Memory size3.3 KiB
Minimum2012-11-22 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T17:03:09.892319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:03:10.043125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

전화번호
Text

MISSING 

Distinct206
Distinct (%)86.9%
Missing163
Missing (%)40.8%
Memory size3.3 KiB
2024-05-11T17:03:10.320186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.4177215
Min length8

Characters and Unicode

Total characters2232
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

Unique177 ?
Unique (%)74.7%

Sample

1st row905-7740
2nd row992-0428
3rd row991-1562
4th row994-2678
5th row992-6950
ValueCountFrequency (%)
02-992-1357 3
 
1.3%
955-9200 3
 
1.3%
955-0081 2
 
0.8%
02-955-3824 2
 
0.8%
02-907-3620 2
 
0.8%
02-908-3984 2
 
0.8%
903-9158 2
 
0.8%
02-956-3337 2
 
0.8%
02-906-4370 2
 
0.8%
02-903-9902 2
 
0.8%
Other values (196) 215
90.7%
2024-05-11T17:03:10.700440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 372
16.7%
0 348
15.6%
- 332
14.9%
5 208
9.3%
2 201
9.0%
3 156
7.0%
1 136
 
6.1%
4 133
 
6.0%
6 125
 
5.6%
7 123
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1900
85.1%
Dash Punctuation 332
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 372
19.6%
0 348
18.3%
5 208
10.9%
2 201
10.6%
3 156
8.2%
1 136
 
7.2%
4 133
 
7.0%
6 125
 
6.6%
7 123
 
6.5%
8 98
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 372
16.7%
0 348
15.6%
- 332
14.9%
5 208
9.3%
2 201
9.0%
3 156
7.0%
1 136
 
6.1%
4 133
 
6.0%
6 125
 
5.6%
7 123
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 372
16.7%
0 348
15.6%
- 332
14.9%
5 208
9.3%
2 201
9.0%
3 156
7.0%
1 136
 
6.1%
4 133
 
6.0%
6 125
 
5.6%
7 123
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Text

MISSING 

Distinct92
Distinct (%)56.1%
Missing236
Missing (%)59.0%
Memory size3.3 KiB
2024-05-11T17:03:10.991774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0609756
Min length6

Characters and Unicode

Total characters994
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

Unique55 ?
Unique (%)33.5%

Sample

1st row132784
2nd row132891
3rd row132885
4th row132723
5th row132920
ValueCountFrequency (%)
132854 7
 
4.3%
132898 7
 
4.3%
132917 4
 
2.4%
132838 4
 
2.4%
132819 4
 
2.4%
132845 4
 
2.4%
132839 4
 
2.4%
132864 4
 
2.4%
132820 4
 
2.4%
132919 3
 
1.8%
Other values (82) 119
72.6%
2024-05-11T17:03:11.396362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 208
20.9%
1 205
20.6%
3 202
20.3%
8 120
12.1%
9 71
 
7.1%
0 45
 
4.5%
4 38
 
3.8%
7 34
 
3.4%
6 33
 
3.3%
5 28
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 984
99.0%
Dash Punctuation 10
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 208
21.1%
1 205
20.8%
3 202
20.5%
8 120
12.2%
9 71
 
7.2%
0 45
 
4.6%
4 38
 
3.9%
7 34
 
3.5%
6 33
 
3.4%
5 28
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 994
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 208
20.9%
1 205
20.6%
3 202
20.3%
8 120
12.1%
9 71
 
7.1%
0 45
 
4.5%
4 38
 
3.8%
7 34
 
3.4%
6 33
 
3.3%
5 28
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 208
20.9%
1 205
20.6%
3 202
20.3%
8 120
12.1%
9 71
 
7.1%
0 45
 
4.5%
4 38
 
3.8%
7 34
 
3.4%
6 33
 
3.3%
5 28
 
2.8%

지번주소
Text

MISSING 

Distinct351
Distinct (%)89.1%
Missing6
Missing (%)1.5%
Memory size3.3 KiB
2024-05-11T17:03:11.703079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length24.050761
Min length12

Characters and Unicode

Total characters9476
Distinct characters146
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

Unique315 ?
Unique (%)79.9%

Sample

1st row서울특별시 도봉구 창동 804번지 창동대우아파트상가 153호
2nd row서울특별시 도봉구 쌍문동 520번지 43호
3rd row서울특별시 도봉구 쌍문동 423번지 7호
4th row서울특별시 도봉구 창동 815번지 창동2차현대아파트상가 101호
5th row서울특별시 도봉구 창동 674번지 27호
ValueCountFrequency (%)
서울특별시 393
19.2%
도봉구 393
19.2%
창동 136
 
6.7%
방학동 103
 
5.0%
쌍문동 92
 
4.5%
1층 71
 
3.5%
도봉동 64
 
3.1%
1호 22
 
1.1%
101호 17
 
0.8%
5호 12
 
0.6%
Other values (430) 742
36.3%
2024-05-11T17:03:12.138960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1651
17.4%
도 465
 
4.9%
봉 464
 
4.9%
동 439
 
4.6%
시 399
 
4.2%
1 397
 
4.2%
울 395
 
4.2%
구 393
 
4.1%
서 393
 
4.1%
별 393
 
4.1%
Other values (136) 4087
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5826
61.5%
Decimal Number 1901
 
20.1%
Space Separator 1651
 
17.4%
Dash Punctuation 85
 
0.9%
Uppercase Letter 11
 
0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 465
 
8.0%
봉 464
 
8.0%
동 439
 
7.5%
시 399
 
6.8%
울 395
 
6.8%
구 393
 
6.7%
서 393
 
6.7%
별 393
 
6.7%
특 393
 
6.7%
지 292
 
5.0%
Other values (114) 1800
30.9%
Decimal Number
ValueCountFrequency (%)
1 397
20.9%
6 219
11.5%
2 204
10.7%
3 202
10.6%
5 186
9.8%
0 179
9.4%
7 163
8.6%
4 155
 
8.2%
8 110
 
5.8%
9 86
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
18.2%
S 2
18.2%
E 2
18.2%
G 1
9.1%
I 1
9.1%
N 1
9.1%
K 1
9.1%
B 1
9.1%
Space Separator
ValueCountFrequency (%)
1651
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5826
61.5%
Common 3639
38.4%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 465
 
8.0%
봉 464
 
8.0%
동 439
 
7.5%
시 399
 
6.8%
울 395
 
6.8%
구 393
 
6.7%
서 393
 
6.7%
별 393
 
6.7%
특 393
 
6.7%
지 292
 
5.0%
Other values (114) 1800
30.9%
Common
ValueCountFrequency (%)
1651
45.4%
1 397
 
10.9%
6 219
 
6.0%
2 204
 
5.6%
3 202
 
5.6%
5 186
 
5.1%
0 179
 
4.9%
7 163
 
4.5%
4 155
 
4.3%
8 110
 
3.0%
Other values (4) 173
 
4.8%
Latin
ValueCountFrequency (%)
A 2
18.2%
S 2
18.2%
E 2
18.2%
G 1
9.1%
I 1
9.1%
N 1
9.1%
K 1
9.1%
B 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5826
61.5%
ASCII 3650
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1651
45.2%
1 397
 
10.9%
6 219
 
6.0%
2 204
 
5.6%
3 202
 
5.5%
5 186
 
5.1%
0 179
 
4.9%
7 163
 
4.5%
4 155
 
4.2%
8 110
 
3.0%
Other values (12) 184
 
5.0%
Hangul
ValueCountFrequency (%)
도 465
 
8.0%
봉 464
 
8.0%
동 439
 
7.5%
시 399
 
6.8%
울 395
 
6.8%
구 393
 
6.7%
서 393
 
6.7%
별 393
 
6.7%
특 393
 
6.7%
지 292
 
5.0%
Other values (114) 1800
30.9%

도로명주소
Text

Distinct341
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T17:03:12.430695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length31.4625
Min length22

Characters and Unicode

Total characters12585
Distinct characters162
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)73.8%

Sample

1st row서울특별시 도봉구 덕릉로63가길 61, 153호 (창동, 창동대우아파트상가)
2nd row서울특별시 도봉구 우이천로 490 (쌍문동)
3rd row서울특별시 도봉구 삼양로144길 11 (쌍문동)
4th row서울특별시 도봉구 도봉로136길 111, 101호 (창동)
5th row서울특별시 도봉구 도봉로110길 72 (창동)
ValueCountFrequency (%)
서울특별시 400
 
16.1%
도봉구 400
 
16.1%
1층 187
 
7.5%
창동 134
 
5.4%
방학동 104
 
4.2%
쌍문동 93
 
3.7%
도봉동 65
 
2.6%
101호 27
 
1.1%
해등로 23
 
0.9%
마들로 23
 
0.9%
Other values (443) 1030
41.4%
2024-05-11T17:03:12.893583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2087
 
16.6%
1 772
 
6.1%
봉 632
 
5.0%
도 630
 
5.0%
동 472
 
3.8%
시 432
 
3.4%
, 407
 
3.2%
( 402
 
3.2%
) 402
 
3.2%
울 402
 
3.2%
Other values (152) 5947
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7003
55.6%
Decimal Number 2248
 
17.9%
Space Separator 2087
 
16.6%
Other Punctuation 407
 
3.2%
Open Punctuation 402
 
3.2%
Close Punctuation 402
 
3.2%
Dash Punctuation 21
 
0.2%
Uppercase Letter 14
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 632
 
9.0%
도 630
 
9.0%
동 472
 
6.7%
시 432
 
6.2%
울 402
 
5.7%
서 400
 
5.7%
별 400
 
5.7%
구 400
 
5.7%
특 400
 
5.7%
로 389
 
5.6%
Other values (128) 2446
34.9%
Decimal Number
ValueCountFrequency (%)
1 772
34.3%
0 270
 
12.0%
2 229
 
10.2%
3 190
 
8.5%
6 184
 
8.2%
4 158
 
7.0%
5 152
 
6.8%
9 105
 
4.7%
8 95
 
4.2%
7 93
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
A 2
14.3%
S 2
14.3%
E 2
14.3%
G 1
 
7.1%
K 1
 
7.1%
I 1
 
7.1%
N 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2087
100.0%
Other Punctuation
ValueCountFrequency (%)
, 407
100.0%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7003
55.6%
Common 5568
44.2%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 632
 
9.0%
도 630
 
9.0%
동 472
 
6.7%
시 432
 
6.2%
울 402
 
5.7%
서 400
 
5.7%
별 400
 
5.7%
구 400
 
5.7%
특 400
 
5.7%
로 389
 
5.6%
Other values (128) 2446
34.9%
Common
ValueCountFrequency (%)
2087
37.5%
1 772
 
13.9%
, 407
 
7.3%
( 402
 
7.2%
) 402
 
7.2%
0 270
 
4.8%
2 229
 
4.1%
3 190
 
3.4%
6 184
 
3.3%
4 158
 
2.8%
Other values (6) 467
 
8.4%
Latin
ValueCountFrequency (%)
B 4
28.6%
A 2
14.3%
S 2
14.3%
E 2
14.3%
G 1
 
7.1%
K 1
 
7.1%
I 1
 
7.1%
N 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7003
55.6%
ASCII 5582
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2087
37.4%
1 772
 
13.8%
, 407
 
7.3%
( 402
 
7.2%
) 402
 
7.2%
0 270
 
4.8%
2 229
 
4.1%
3 190
 
3.4%
6 184
 
3.3%
4 158
 
2.8%
Other values (14) 481
 
8.6%
Hangul
ValueCountFrequency (%)
봉 632
 
9.0%
도 630
 
9.0%
동 472
 
6.7%
시 432
 
6.2%
울 402
 
5.7%
서 400
 
5.7%
별 400
 
5.7%
구 400
 
5.7%
특 400
 
5.7%
로 389
 
5.6%
Other values (128) 2446
34.9%

도로명우편번호
Real number (ℝ)

Distinct167
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12225.638
Minimum1301
Maximum132919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T17:03:13.067153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile1307
Q11351.75
median1399
Q31454
95-th percentile132806.65
Maximum132919
Range131618
Interquartile range (IQR)102.25

Descriptive statistics

Standard deviation36175.203
Coefficient of variation (CV)2.9589625
Kurtosis7.317459
Mean12225.638
Median Absolute Deviation (MAD)51
Skewness3.0464396
Sum4890255
Variance1.3086453 × 109
MonotonicityNot monotonic
2024-05-11T17:03:13.220206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1304 8
 
2.0%
1473 8
 
2.0%
1399 7
 
1.8%
1332 7
 
1.8%
1359 7
 
1.8%
1355 7
 
1.8%
1454 6
 
1.5%
1432 6
 
1.5%
1458 6
 
1.5%
1352 6
 
1.5%
Other values (157) 332
83.0%
ValueCountFrequency (%)
1301 1
 
0.2%
1302 3
 
0.8%
1303 1
 
0.2%
1304 8
2.0%
1305 3
 
0.8%
1306 1
 
0.2%
1307 4
1.0%
1308 3
 
0.8%
1309 1
 
0.2%
1310 4
1.0%
ValueCountFrequency (%)
132919 1
0.2%
132917 1
0.2%
132916 1
0.2%
132901 1
0.2%
132898 2
0.5%
132897 1
0.2%
132891 1
0.2%
132863 1
0.2%
132854 2
0.5%
132849 2
0.5%

사업장명
Text

Distinct343
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T17:03:13.457682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.8025
Min length3

Characters and Unicode

Total characters3921
Distinct characters225
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique300 ?
Unique (%)75.0%

Sample

1st rowGS25창동대우점
2nd row씨유쌍문덕성점
3rd row씨유덕성여대점
4th row씨유창동현대점
5th row씨유창동중앙점
ValueCountFrequency (%)
지에스(gs)25 18
 
3.9%
세븐일레븐 14
 
3.0%
씨유 10
 
2.2%
주)코리아세븐 6
 
1.3%
gs25창동사랑점 4
 
0.9%
지에스25 4
 
0.9%
씨유방학중앙점 4
 
0.9%
씨유방학성원점 4
 
0.9%
미니스톱도봉쌍문점 3
 
0.6%
씨유도봉제일점 3
 
0.6%
Other values (341) 392
84.8%
2024-05-11T17:03:13.842034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 375
 
9.6%
2 157
 
4.0%
5 147
 
3.7%
븐 142
 
3.6%
도 132
 
3.4%
봉 129
 
3.3%
동 124
 
3.2%
씨 122
 
3.1%
유 120
 
3.1%
창 112
 
2.9%
Other values (215) 2361
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3112
79.4%
Decimal Number 335
 
8.5%
Uppercase Letter 270
 
6.9%
Close Punctuation 71
 
1.8%
Open Punctuation 71
 
1.8%
Space Separator 62
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 375
 
12.1%
븐 142
 
4.6%
도 132
 
4.2%
봉 129
 
4.1%
동 124
 
4.0%
씨 122
 
3.9%
유 120
 
3.9%
창 112
 
3.6%
스 96
 
3.1%
문 91
 
2.9%
Other values (194) 1669
53.6%
Decimal Number
ValueCountFrequency (%)
2 157
46.9%
5 147
43.9%
4 11
 
3.3%
3 8
 
2.4%
6 4
 
1.2%
1 4
 
1.2%
7 2
 
0.6%
9 1
 
0.3%
0 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
S 110
40.7%
G 108
40.0%
U 24
 
8.9%
C 23
 
8.5%
A 1
 
0.4%
E 1
 
0.4%
Q 1
 
0.4%
L 1
 
0.4%
P 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3112
79.4%
Common 539
 
13.7%
Latin 270
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 375
 
12.1%
븐 142
 
4.6%
도 132
 
4.2%
봉 129
 
4.1%
동 124
 
4.0%
씨 122
 
3.9%
유 120
 
3.9%
창 112
 
3.6%
스 96
 
3.1%
문 91
 
2.9%
Other values (194) 1669
53.6%
Common
ValueCountFrequency (%)
2 157
29.1%
5 147
27.3%
) 71
13.2%
( 71
13.2%
62
 
11.5%
4 11
 
2.0%
3 8
 
1.5%
6 4
 
0.7%
1 4
 
0.7%
7 2
 
0.4%
Other values (2) 2
 
0.4%
Latin
ValueCountFrequency (%)
S 110
40.7%
G 108
40.0%
U 24
 
8.9%
C 23
 
8.5%
A 1
 
0.4%
E 1
 
0.4%
Q 1
 
0.4%
L 1
 
0.4%
P 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3112
79.4%
ASCII 809
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 375
 
12.1%
븐 142
 
4.6%
도 132
 
4.2%
봉 129
 
4.1%
동 124
 
4.0%
씨 122
 
3.9%
유 120
 
3.9%
창 112
 
3.6%
스 96
 
3.1%
문 91
 
2.9%
Other values (194) 1669
53.6%
ASCII
ValueCountFrequency (%)
2 157
19.4%
5 147
18.2%
S 110
13.6%
G 108
13.3%
) 71
8.8%
( 71
8.8%
62
 
7.7%
U 24
 
3.0%
C 23
 
2.8%
4 11
 
1.4%
Other values (11) 25
 
3.1%

최종수정일자
Date

UNIQUE 

Distinct400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2014-03-04 15:10:28
Maximum2024-04-30 16:20:23
2024-05-11T17:03:14.269296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:03:14.432069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
227 
U
173 

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 227
56.8%
U 173
43.2%

Length

2024-05-11T17:03:14.592160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:03:14.707039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 227
56.8%
u 173
43.2%

데이터갱신일자
Date

Distinct208
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T17:03:14.826352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:03:15.002293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing400
Missing (%)100.0%
Memory size3.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct268
Distinct (%)67.2%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean203303.98
Minimum201076.85
Maximum204682.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T17:03:15.207096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201076.85
5-th percentile202016.25
Q1202918.5
median203404.82
Q3203769.29
95-th percentile204247.21
Maximum204682.55
Range3605.6928
Interquartile range (IQR)850.78515

Descriptive statistics

Standard deviation686.97918
Coefficient of variation (CV)0.0033790739
Kurtosis0.95317626
Mean203303.98
Median Absolute Deviation (MAD)439.61259
Skewness-0.8377811
Sum81118289
Variance471940.39
MonotonicityNot monotonic
2024-05-11T17:03:15.383585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203404.819039434 6
 
1.5%
203259.107447508 5
 
1.2%
202552.06293165 4
 
1.0%
202786.481327505 4
 
1.0%
203231.366875462 4
 
1.0%
204214.210632572 4
 
1.0%
202998.730735591 4
 
1.0%
202815.313561518 4
 
1.0%
203242.207878183 4
 
1.0%
202943.747074384 4
 
1.0%
Other values (258) 356
89.0%
ValueCountFrequency (%)
201076.85313831 1
0.2%
201106.663338126 1
0.2%
201128.59404573 1
0.2%
201154.262049252 1
0.2%
201154.586546599 1
0.2%
201279.083104853 1
0.2%
201307.131347335 1
0.2%
201309.951632636 1
0.2%
201311.878866264 2
0.5%
201328.047790449 1
0.2%
ValueCountFrequency (%)
204682.545958314 1
0.2%
204569.769384803 2
0.5%
204534.405989157 2
0.5%
204510.908809878 1
0.2%
204468.657003222 1
0.2%
204428.262955437 2
0.5%
204391.615 2
0.5%
204327.535 1
0.2%
204313.906829097 1
0.2%
204307.288587777 2
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct268
Distinct (%)67.2%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean461776.04
Minimum458919.24
Maximum465076.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T17:03:15.551333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458919.24
5-th percentile459680.41
Q1460746.55
median461665.39
Q3462729.14
95-th percentile464457.78
Maximum465076.35
Range6157.1115
Interquartile range (IQR)1982.5887

Descriptive statistics

Standard deviation1386.9721
Coefficient of variation (CV)0.0030035602
Kurtosis-0.38357927
Mean461776.04
Median Absolute Deviation (MAD)999.81169
Skewness0.2762603
Sum1.8424864 × 108
Variance1923691.7
MonotonicityNot monotonic
2024-05-11T17:03:15.704141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459708.110167807 6
 
1.5%
462219.107803166 5
 
1.2%
462071.049647988 4
 
1.0%
462675.20231411 4
 
1.0%
461535.263498587 4
 
1.0%
460746.553675666 4
 
1.0%
462656.950569475 4
 
1.0%
461851.103374685 4
 
1.0%
460278.030324012 4
 
1.0%
460414.868535121 4
 
1.0%
Other values (258) 356
89.0%
ValueCountFrequency (%)
458919.238880777 1
 
0.2%
458940.711388052 1
 
0.2%
459038.222873743 2
0.5%
459061.623073156 1
 
0.2%
459141.36914212 2
0.5%
459152.975493807 1
 
0.2%
459240.401569552 3
0.8%
459376.157687345 1
 
0.2%
459378.904119584 1
 
0.2%
459427.061590245 1
 
0.2%
ValueCountFrequency (%)
465076.350406458 1
 
0.2%
465025.246646886 1
 
0.2%
465020.600650429 1
 
0.2%
464949.868090487 2
0.5%
464947.538929422 3
0.8%
464943.801728674 1
 
0.2%
464828.911640695 1
 
0.2%
464814.717432497 1
 
0.2%
464715.959316893 1
 
0.2%
464630.505734089 3
0.8%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)50.3%
Missing215
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean52.601892
Minimum0
Maximum208
Zeros19
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T17:03:15.880971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median50
Q365
95-th percentile99.8
Maximum208
Range208
Interquartile range (IQR)32

Descriptive statistics

Standard deviation31.268795
Coefficient of variation (CV)0.5944424
Kurtosis3.7028631
Mean52.601892
Median Absolute Deviation (MAD)15.12
Skewness1.0404147
Sum9731.35
Variance977.73753
MonotonicityNot monotonic
2024-05-11T17:03:16.061951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
4.8%
49.5 12
 
3.0%
60.0 10
 
2.5%
33.0 9
 
2.2%
66.0 7
 
1.8%
50.0 5
 
1.2%
52.8 5
 
1.2%
42.9 4
 
1.0%
39.6 4
 
1.0%
49.98 3
 
0.8%
Other values (83) 107
26.8%
(Missing) 215
53.8%
ValueCountFrequency (%)
0.0 19
4.8%
18.3 1
 
0.2%
18.84 1
 
0.2%
20.0 1
 
0.2%
20.72 1
 
0.2%
23.1 2
 
0.5%
24.45 1
 
0.2%
25.0 2
 
0.5%
26.0 1
 
0.2%
28.0 1
 
0.2%
ValueCountFrequency (%)
208.0 1
0.2%
153.0 1
0.2%
150.0 1
0.2%
148.76 1
0.2%
125.81 1
0.2%
125.0 1
0.2%
114.48 1
0.2%
110.0 1
0.2%
102.0 1
0.2%
100.0 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03090000PHMH32012309003308750000120121101<NA>3폐업3폐업20150601<NA><NA><NA>905-7740<NA>132784서울특별시 도봉구 창동 804번지 창동대우아파트상가 153호서울특별시 도봉구 덕릉로63가길 61, 153호 (창동, 창동대우아파트상가)132784GS25창동대우점2015-06-02 08:48:37I2018-08-31 23:59:59.0<NA>203242.968499460001.08113729.0
13090000PHMH32012309003308750000220121101<NA>3폐업3폐업20150316<NA><NA><NA>992-0428<NA>132891서울특별시 도봉구 쌍문동 520번지 43호서울특별시 도봉구 우이천로 490 (쌍문동)132891씨유쌍문덕성점2015-03-16 16:06:51I2018-08-31 23:59:59.0<NA>201311.878866461591.10884466.0
23090000PHMH32012309003308750000320121101<NA>1영업/정상13영업중<NA><NA><NA><NA>991-1562<NA>132885서울특별시 도봉구 쌍문동 423번지 7호서울특별시 도봉구 삼양로144길 11 (쌍문동)1368씨유덕성여대점2014-03-04 15:10:28I2018-08-31 23:59:59.0<NA>201128.594046461031.40409<NA>
33090000PHMH32012309003308750000420121101<NA>3폐업3폐업20150831<NA><NA><NA>994-2678<NA>132723서울특별시 도봉구 창동 815번지 창동2차현대아파트상가 101호서울특별시 도봉구 도봉로136길 111, 101호 (창동)1409씨유창동현대점2015-09-17 12:58:03I2018-08-31 23:59:59.0<NA>203997.292726462072.83173446.2
43090000PHMH32012309003308750000520121101<NA>3폐업3폐업20160516<NA><NA><NA>992-6950<NA>132920서울특별시 도봉구 창동 674번지 27호서울특별시 도봉구 도봉로110길 72 (창동)1457씨유창동중앙점2016-05-16 17:50:36I2018-08-31 23:59:59.0<NA>203245.284739460420.18599582.5
53090000PHMH32012309003308750000620121101<NA>3폐업3폐업20151127<NA><NA><NA>995-2606<NA>132863서울특별시 도봉구 쌍문동 81번지 139호 1층서울특별시 도봉구 도봉로121길 33 (쌍문동)1440GS25쌍문한솔점2015-11-27 14:31:06I2018-08-31 23:59:59.0<NA>202979.428043461108.59999783.0
63090000PHMH32012309003308750000720121101<NA>3폐업3폐업20170630<NA><NA><NA>070-4128-5150<NA>132815서울특별시 도봉구 도봉동 575번지 9호서울특별시 도봉구 도봉산3길 78 (도봉동)1304씨유도봉제일점2017-06-30 16:26:50I2018-08-31 23:59:59.0<NA>203763.156797464630.50573433.0
73090000PHMH32012309003308750000820121102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-999-1921<NA><NA>서울특별시 도봉구 방학동 707서울특별시 도봉구 도봉로150길 8, 1층 106호, 107호 (방학동)1334지에스25 방학테라디움점2021-11-01 09:05:44U2021-11-03 02:40:00.0<NA>203746.358021462608.26306649.5
83090000PHMH32012309003308750000920121102<NA>3폐업3폐업20191031<NA><NA><NA>954-1618<NA>132820서울특별시 도봉구 도봉동 619번지 19호 1층서울특별시 도봉구 도봉로153길 16 (도봉동)1349씨유도봉중앙점2019-10-31 15:46:24U2019-11-05 02:40:00.0<NA>203688.688199463068.68761136.3
93090000PHMH32012309003308750001020121105<NA>3폐업3폐업20180131<NA><NA><NA>955-0311<NA>132814서울특별시 도봉구 도봉동 564번지 17호서울특별시 도봉구 도봉로177길 26 (도봉동)1304GS25도봉북서울점2018-01-31 17:27:06I2018-08-31 23:59:59.0<NA>203879.49944464383.73900349.5
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
3903090000PHMH3202330900330875000242023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 88-26서울특별시 도봉구 도봉로117길 11, 1층 (쌍문동)1443세븐일레븐 쌍문빌리지점2023-11-29 17:57:43I2022-11-02 00:01:00.0<NA>202954.528813460785.700917<NA>
3913090000PHMH3202430900330875000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 620-18서울특별시 도봉구 도봉로153길 10, 1층 (도봉동)1349씨유(CU)신도봉중앙점2024-01-03 11:34:29I2023-12-01 00:05:00.0<NA>203717.832702463065.214353<NA>
3923090000PHMH3202430900330875000022024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 667서울특별시 도봉구 도봉로125길 84, 1층 (쌍문동)1432지에스25(GS25)쌍문보람점2024-01-09 11:22:09I2023-11-30 23:01:00.0<NA>203231.366875461535.263499<NA>
3933090000PHMH3202430900330875000032024-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 661-1 1층서울특별시 도봉구 도당로 81, 1층 (방학동)1355씨유 방학도깨비점2024-01-31 16:56:32I2023-12-02 00:02:00.0<NA>203106.171917462531.459065<NA>
3943090000PHMH3202430900330875000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 823 창동금호어울림아파트서울특별시 도봉구 해등로16길 25, 창동금호어울림아파트 상가동 1층 102, 103호 (창동)1401지에스(GS)25 창동어울림점2024-02-23 17:45:22I2023-12-01 22:05:00.0<NA>203613.466171461566.570067<NA>
3953090000PHMH3202430900330875000052024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 507-1 에드가쌍문서울특별시 도봉구 삼양로 602, 104호 (쌍문동, 에드가쌍문)1366씨유(CU)솔밭공원역점2024-03-26 16:37:28I2023-12-02 22:08:00.0<NA>201154.262049461576.90605<NA>
3963090000PHMH3202430900330875000062024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 378서울특별시 도봉구 노해로 149, 1층 (쌍문동)1381지에스(GS)25 도봉우체국점2024-03-26 15:18:47I2023-12-02 22:08:00.0<NA>202243.247665460642.094501<NA>
3973090000PHMH3202430900330875000072024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 658-1서울특별시 도봉구 도봉로110나길 64, 1층 102호 (창동)1454씨유(CU)신창동쌍문점2024-04-02 17:04:46I2023-12-04 00:04:00.0<NA>203106.709945460716.552664<NA>
3983090000PHMH3202430900330875000082024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 139-1서울특별시 도봉구 노해로 206, 1층 (쌍문동)1441지에스(GS)25 쌍문노해로점2024-04-09 17:11:05I2023-12-03 23:01:00.0<NA>202663.246206460934.324974<NA>
3993090000PHMH3202430900330875000092024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 520-1 1층 일부서울특별시 도봉구 해등로 370, 1(일부)층 (쌍문동)1365지에스(GS)25 쌍문동진점2024-04-30 16:20:23I2023-12-05 00:02:00.0<NA>201279.083105461701.833206<NA>