Overview

Dataset statistics

Number of variables26
Number of observations484
Missing cells3133
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.6 KiB
Average record size in memory221.3 B

Variable types

Categorical8
Text6
DateTime4
Unsupported4
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),판매점영업면적
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16294/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.9%)Imbalance
휴업종료일자 is highly imbalanced (97.9%)Imbalance
인허가취소일자 has 484 (100.0%) missing valuesMissing
폐업일자 has 223 (46.1%) missing valuesMissing
재개업일자 has 484 (100.0%) missing valuesMissing
전화번호 has 238 (49.2%) missing valuesMissing
소재지면적 has 484 (100.0%) missing valuesMissing
소재지우편번호 has 295 (61.0%) missing valuesMissing
업태구분명 has 484 (100.0%) missing valuesMissing
판매점영업면적 has 438 (90.5%) 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 27 (5.6%) zerosZeros

Reproduction

Analysis started2024-05-11 07:01:53.295781
Analysis finished2024-05-11 07:01:54.401832
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3080000
484 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 484
100.0%

Length

2024-05-11T16:01:54.521495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:54.679450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 484
100.0%

관리번호
Text

UNIQUE 

Distinct484
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:01:55.011950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters12100
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

Unique484 ?
Unique (%)100.0%

Sample

1st rowPHMH320123080033087500001
2nd rowPHMH320123080033087500002
3rd rowPHMH320123080033087500003
4th rowPHMH320123080033087500004
5th rowPHMH320123080033087500005
ValueCountFrequency (%)
phmh320123080033087500001 1
 
0.2%
phmh320183080033087500006 1
 
0.2%
phmh320183080033087500035 1
 
0.2%
phmh320183080033087500034 1
 
0.2%
phmh320183080033087500033 1
 
0.2%
phmh320183080033087500032 1
 
0.2%
phmh320183080033087500031 1
 
0.2%
phmh320183080033087500030 1
 
0.2%
phmh320183080033087500029 1
 
0.2%
phmh320183080033087500028 1
 
0.2%
Other values (474) 474
97.9%
2024-05-11T16:01:55.660307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4053
33.5%
3 2114
17.5%
8 1060
 
8.8%
H 968
 
8.0%
2 881
 
7.3%
1 592
 
4.9%
7 589
 
4.9%
5 583
 
4.8%
P 484
 
4.0%
M 484
 
4.0%
Other values (3) 292
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10164
84.0%
Uppercase Letter 1936
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4053
39.9%
3 2114
20.8%
8 1060
 
10.4%
2 881
 
8.7%
1 592
 
5.8%
7 589
 
5.8%
5 583
 
5.7%
4 101
 
1.0%
6 99
 
1.0%
9 92
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 968
50.0%
P 484
25.0%
M 484
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10164
84.0%
Latin 1936
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4053
39.9%
3 2114
20.8%
8 1060
 
10.4%
2 881
 
8.7%
1 592
 
5.8%
7 589
 
5.8%
5 583
 
5.7%
4 101
 
1.0%
6 99
 
1.0%
9 92
 
0.9%
Latin
ValueCountFrequency (%)
H 968
50.0%
P 484
25.0%
M 484
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4053
33.5%
3 2114
17.5%
8 1060
 
8.8%
H 968
 
8.0%
2 881
 
7.3%
1 592
 
4.9%
7 589
 
4.9%
5 583
 
4.8%
P 484
 
4.0%
M 484
 
4.0%
Other values (3) 292
 
2.4%

인허가일자
Date

Distinct365
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2012-10-31 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T16:01:55.952681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:56.211390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3
254 
1
222 
4
 
7
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 254
52.5%
1 222
45.9%
4 7
 
1.4%
2 1
 
0.2%

Length

2024-05-11T16:01:56.478807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:56.659307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 254
52.5%
1 222
45.9%
4 7
 
1.4%
2 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐업
254 
영업/정상
222 
취소/말소/만료/정지/중지
 
7
휴업
 
1

Length

Max length14
Median length2
Mean length3.5495868
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 254
52.5%
영업/정상 222
45.9%
취소/말소/만료/정지/중지 7
 
1.4%
휴업 1
 
0.2%

Length

2024-05-11T16:01:56.853707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:57.035722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 254
52.5%
영업/정상 222
45.9%
취소/말소/만료/정지/중지 7
 
1.4%
휴업 1
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3
254 
13
222 
24
 
7
2
 
1

Length

Max length2
Median length1
Mean length1.4731405
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 254
52.5%
13 222
45.9%
24 7
 
1.4%
2 1
 
0.2%

Length

2024-05-11T16:01:57.263550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:57.474010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 254
52.5%
13 222
45.9%
24 7
 
1.4%
2 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐업
254 
영업중
222 
직권폐업
 
7
휴업
 
1

Length

Max length4
Median length2
Mean length2.4876033
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 254
52.5%
영업중 222
45.9%
직권폐업 7
 
1.4%
휴업 1
 
0.2%

Length

2024-05-11T16:01:57.708249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:57.917046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 254
52.5%
영업중 222
45.9%
직권폐업 7
 
1.4%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct230
Distinct (%)88.1%
Missing223
Missing (%)46.1%
Memory size3.9 KiB
Minimum2012-11-21 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T16:01:58.118687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:58.428641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
483 
20200729
 
1

Length

Max length8
Median length4
Mean length4.0082645
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 483
99.8%
20200729 1
 
0.2%

Length

2024-05-11T16:01:58.726872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:58.931955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 483
99.8%
20200729 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
483 
20210729
 
1

Length

Max length8
Median length4
Mean length4.0082645
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 483
99.8%
20210729 1
 
0.2%

Length

2024-05-11T16:01:59.146836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:59.358647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 483
99.8%
20210729 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

전화번호
Text

MISSING 

Distinct193
Distinct (%)78.5%
Missing238
Missing (%)49.2%
Memory size3.9 KiB
2024-05-11T16:01:59.712639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.073171
Min length8

Characters and Unicode

Total characters2724
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

Unique147 ?
Unique (%)59.8%

Sample

1st row02-900-2511
2nd row02-907-7110
3rd row02-990-1325
4th row070-4110-7430
5th row02-988-5371
ValueCountFrequency (%)
02-989-3700 4
 
1.6%
02-991-4633 3
 
1.2%
02-981-0684 3
 
1.2%
02-990-2505 3
 
1.2%
02-980-0506 3
 
1.2%
02-905-2241 3
 
1.2%
02-945-6388 2
 
0.8%
02-987-0870 2
 
0.8%
02-982-8300 2
 
0.8%
02-999-0175 2
 
0.8%
Other values (183) 219
89.0%
2024-05-11T16:02:00.384465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 498
18.3%
- 489
18.0%
9 394
14.5%
2 364
13.4%
8 213
7.8%
5 168
 
6.2%
7 147
 
5.4%
4 141
 
5.2%
6 120
 
4.4%
1 96
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2235
82.0%
Dash Punctuation 489
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 498
22.3%
9 394
17.6%
2 364
16.3%
8 213
9.5%
5 168
 
7.5%
7 147
 
6.6%
4 141
 
6.3%
6 120
 
5.4%
1 96
 
4.3%
3 94
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 489
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 498
18.3%
- 489
18.0%
9 394
14.5%
2 364
13.4%
8 213
7.8%
5 168
 
6.2%
7 147
 
5.4%
4 141
 
5.2%
6 120
 
4.4%
1 96
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 498
18.3%
- 489
18.0%
9 394
14.5%
2 364
13.4%
8 213
7.8%
5 168
 
6.2%
7 147
 
5.4%
4 141
 
5.2%
6 120
 
4.4%
1 96
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

소재지우편번호
Text

MISSING 

Distinct67
Distinct (%)35.4%
Missing295
Missing (%)61.0%
Memory size3.9 KiB
2024-05-11T16:02:00.820514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0952381
Min length6

Characters and Unicode

Total characters1152
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

Unique26 ?
Unique (%)13.8%

Sample

1st row142864
2nd row142864
3rd row142877
4th row142884
5th row142874
ValueCountFrequency (%)
142100 12
 
6.3%
142864 10
 
5.3%
142877 9
 
4.8%
142878 8
 
4.2%
142070 7
 
3.7%
142886 7
 
3.7%
142812 7
 
3.7%
142867 6
 
3.2%
142876 5
 
2.6%
142868 5
 
2.6%
Other values (57) 113
59.8%
2024-05-11T16:02:01.484288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 245
21.3%
4 213
18.5%
2 213
18.5%
8 202
17.5%
7 89
 
7.7%
0 79
 
6.9%
6 55
 
4.8%
- 18
 
1.6%
5 15
 
1.3%
9 13
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1134
98.4%
Dash Punctuation 18
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 245
21.6%
4 213
18.8%
2 213
18.8%
8 202
17.8%
7 89
 
7.8%
0 79
 
7.0%
6 55
 
4.9%
5 15
 
1.3%
9 13
 
1.1%
3 10
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 245
21.3%
4 213
18.5%
2 213
18.5%
8 202
17.5%
7 89
 
7.7%
0 79
 
6.9%
6 55
 
4.8%
- 18
 
1.6%
5 15
 
1.3%
9 13
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 245
21.3%
4 213
18.5%
2 213
18.5%
8 202
17.5%
7 89
 
7.7%
0 79
 
6.9%
6 55
 
4.8%
- 18
 
1.6%
5 15
 
1.3%
9 13
 
1.1%

지번주소
Text

Distinct391
Distinct (%)81.0%
Missing1
Missing (%)0.2%
Memory size3.9 KiB
2024-05-11T16:02:01.936529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length22.881988
Min length13

Characters and Unicode

Total characters11052
Distinct characters154
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

Unique321 ?
Unique (%)66.5%

Sample

1st row서울특별시 강북구 번동 418번지 9호
2nd row서울특별시 강북구 번동 411번지 1호
3rd row서울특별시 강북구 수유동 322번지 22호
4th row서울특별시 강북구 수유동 410번지 283호
5th row서울특별시 강북구 수유동 52번지 1호
ValueCountFrequency (%)
서울특별시 483
20.1%
강북구 483
20.1%
수유동 194
 
8.1%
미아동 187
 
7.8%
번동 78
 
3.2%
1호 52
 
2.2%
우이동 23
 
1.0%
3호 19
 
0.8%
지상1층 15
 
0.6%
2호 13
 
0.5%
Other values (466) 853
35.5%
2024-05-11T16:02:02.718976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1918
17.4%
동 489
 
4.4%
강 487
 
4.4%
울 484
 
4.4%
북 484
 
4.4%
서 484
 
4.4%
시 484
 
4.4%
구 483
 
4.4%
특 483
 
4.4%
별 483
 
4.4%
Other values (144) 4773
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6799
61.5%
Decimal Number 2224
 
20.1%
Space Separator 1918
 
17.4%
Dash Punctuation 102
 
0.9%
Uppercase Letter 7
 
0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 489
 
7.2%
강 487
 
7.2%
울 484
 
7.1%
북 484
 
7.1%
서 484
 
7.1%
시 484
 
7.1%
구 483
 
7.1%
특 483
 
7.1%
별 483
 
7.1%
번 458
 
6.7%
Other values (124) 1980
29.1%
Decimal Number
ValueCountFrequency (%)
1 432
19.4%
2 309
13.9%
4 290
13.0%
3 208
9.4%
8 192
8.6%
6 190
8.5%
0 162
 
7.3%
7 162
 
7.3%
5 157
 
7.1%
9 122
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
C 1
14.3%
N 1
14.3%
G 1
14.3%
S 1
14.3%
K 1
14.3%
Space Separator
ValueCountFrequency (%)
1918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6799
61.5%
Common 4246
38.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 489
 
7.2%
강 487
 
7.2%
울 484
 
7.1%
북 484
 
7.1%
서 484
 
7.1%
시 484
 
7.1%
구 483
 
7.1%
특 483
 
7.1%
별 483
 
7.1%
번 458
 
6.7%
Other values (124) 1980
29.1%
Common
ValueCountFrequency (%)
1918
45.2%
1 432
 
10.2%
2 309
 
7.3%
4 290
 
6.8%
3 208
 
4.9%
8 192
 
4.5%
6 190
 
4.5%
0 162
 
3.8%
7 162
 
3.8%
5 157
 
3.7%
Other values (4) 226
 
5.3%
Latin
ValueCountFrequency (%)
M 2
28.6%
C 1
14.3%
N 1
14.3%
G 1
14.3%
S 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6799
61.5%
ASCII 4253
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1918
45.1%
1 432
 
10.2%
2 309
 
7.3%
4 290
 
6.8%
3 208
 
4.9%
8 192
 
4.5%
6 190
 
4.5%
0 162
 
3.8%
7 162
 
3.8%
5 157
 
3.7%
Other values (10) 233
 
5.5%
Hangul
ValueCountFrequency (%)
동 489
 
7.2%
강 487
 
7.2%
울 484
 
7.1%
북 484
 
7.1%
서 484
 
7.1%
시 484
 
7.1%
구 483
 
7.1%
특 483
 
7.1%
별 483
 
7.1%
번 458
 
6.7%
Other values (124) 1980
29.1%

도로명주소
Text

Distinct413
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:02:03.210001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length29.078512
Min length21

Characters and Unicode

Total characters14074
Distinct characters192
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

Unique354 ?
Unique (%)73.1%

Sample

1st row서울특별시 강북구 도봉로 350 (번동)
2nd row서울특별시 강북구 덕릉로 159 (번동)
3rd row서울특별시 강북구 삼양로 474 (수유동)
4th row서울특별시 강북구 삼각산로 81 (수유동)
5th row서울특별시 강북구 덕릉로24길 37 (수유동)
ValueCountFrequency (%)
서울특별시 484
16.8%
강북구 484
16.8%
1층 244
 
8.4%
수유동 194
 
6.7%
미아동 188
 
6.5%
번동 78
 
2.7%
삼양로 42
 
1.5%
도봉로 23
 
0.8%
우이동 23
 
0.8%
인수봉로 22
 
0.8%
Other values (466) 1107
38.3%
2024-05-11T16:02:04.031929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2405
 
17.1%
1 738
 
5.2%
동 513
 
3.6%
강 489
 
3.5%
시 486
 
3.5%
서 485
 
3.4%
울 485
 
3.4%
) 485
 
3.4%
로 485
 
3.4%
( 485
 
3.4%
Other values (182) 7018
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7977
56.7%
Space Separator 2405
 
17.1%
Decimal Number 2288
 
16.3%
Close Punctuation 485
 
3.4%
Open Punctuation 485
 
3.4%
Other Punctuation 383
 
2.7%
Dash Punctuation 35
 
0.2%
Uppercase Letter 11
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 513
 
6.4%
강 489
 
6.1%
시 486
 
6.1%
서 485
 
6.1%
울 485
 
6.1%
로 485
 
6.1%
북 485
 
6.1%
별 484
 
6.1%
특 484
 
6.1%
구 484
 
6.1%
Other values (156) 3097
38.8%
Decimal Number
ValueCountFrequency (%)
1 738
32.3%
3 265
 
11.6%
2 219
 
9.6%
0 200
 
8.7%
5 161
 
7.0%
7 159
 
6.9%
4 153
 
6.7%
9 140
 
6.1%
8 128
 
5.6%
6 125
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
18.2%
S 2
18.2%
M 2
18.2%
N 1
9.1%
A 1
9.1%
K 1
9.1%
B 1
9.1%
C 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 373
97.4%
. 10
 
2.6%
Space Separator
ValueCountFrequency (%)
2405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 485
100.0%
Open Punctuation
ValueCountFrequency (%)
( 485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7977
56.7%
Common 6084
43.2%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 513
 
6.4%
강 489
 
6.1%
시 486
 
6.1%
서 485
 
6.1%
울 485
 
6.1%
로 485
 
6.1%
북 485
 
6.1%
별 484
 
6.1%
특 484
 
6.1%
구 484
 
6.1%
Other values (156) 3097
38.8%
Common
ValueCountFrequency (%)
2405
39.5%
1 738
 
12.1%
) 485
 
8.0%
( 485
 
8.0%
, 373
 
6.1%
3 265
 
4.4%
2 219
 
3.6%
0 200
 
3.3%
5 161
 
2.6%
7 159
 
2.6%
Other values (7) 594
 
9.8%
Latin
ValueCountFrequency (%)
G 2
15.4%
S 2
15.4%
b 2
15.4%
M 2
15.4%
N 1
7.7%
A 1
7.7%
K 1
7.7%
B 1
7.7%
C 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7977
56.7%
ASCII 6097
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2405
39.4%
1 738
 
12.1%
) 485
 
8.0%
( 485
 
8.0%
, 373
 
6.1%
3 265
 
4.3%
2 219
 
3.6%
0 200
 
3.3%
5 161
 
2.6%
7 159
 
2.6%
Other values (16) 607
 
10.0%
Hangul
ValueCountFrequency (%)
동 513
 
6.4%
강 489
 
6.1%
시 486
 
6.1%
서 485
 
6.1%
울 485
 
6.1%
로 485
 
6.1%
북 485
 
6.1%
별 484
 
6.1%
특 484
 
6.1%
구 484
 
6.1%
Other values (156) 3097
38.8%

도로명우편번호
Real number (ℝ)

Distinct192
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14573.798
Minimum1002
Maximum142892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:02:04.343775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1014
Q11062.75
median1118
Q31189
95-th percentile142866.55
Maximum142892
Range141890
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation41583.507
Coefficient of variation (CV)2.8533062
Kurtosis5.6979359
Mean14573.798
Median Absolute Deviation (MAD)61
Skewness2.7702595
Sum7053718
Variance1.729188 × 109
MonotonicityNot monotonic
2024-05-11T16:02:04.589048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1157 8
 
1.7%
1073 8
 
1.7%
1014 8
 
1.7%
1126 8
 
1.7%
1056 8
 
1.7%
1125 8
 
1.7%
1226 7
 
1.4%
1002 7
 
1.4%
1064 7
 
1.4%
1072 6
 
1.2%
Other values (182) 409
84.5%
ValueCountFrequency (%)
1002 7
1.4%
1004 1
 
0.2%
1005 5
1.0%
1006 3
 
0.6%
1009 1
 
0.2%
1010 1
 
0.2%
1011 2
 
0.4%
1014 8
1.7%
1015 1
 
0.2%
1020 1
 
0.2%
ValueCountFrequency (%)
142892 1
 
0.2%
142891 1
 
0.2%
142888 1
 
0.2%
142887 1
 
0.2%
142886 3
0.6%
142878 2
 
0.4%
142877 5
1.0%
142876 1
 
0.2%
142875 1
 
0.2%
142874 2
 
0.4%

사업장명
Text

Distinct404
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:02:05.117252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length10.502066
Min length2

Characters and Unicode

Total characters5083
Distinct characters243
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

Unique347 ?
Unique (%)71.7%

Sample

1st rowGS25 수유역점
2nd rowGS25 번동위브점
3rd row세븐일레븐 수유장미원점
4th rowGS25 수유문화점
5th row씨유
ValueCountFrequency (%)
gs25 126
 
13.3%
씨유 110
 
11.7%
세븐일레븐 70
 
7.4%
cu 38
 
4.0%
주)코리아세븐 29
 
3.1%
미니스톱 20
 
2.1%
지에스(gs)25 13
 
1.4%
위드미 7
 
0.7%
강북우이점 7
 
0.7%
지에스25(gs25 6
 
0.6%
Other values (314) 518
54.9%
2024-05-11T16:02:05.845942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 469
 
9.2%
460
 
9.0%
유 293
 
5.8%
2 186
 
3.7%
5 183
 
3.6%
수 180
 
3.5%
아 177
 
3.5%
미 174
 
3.4%
븐 170
 
3.3%
S 167
 
3.3%
Other values (233) 2624
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3649
71.8%
Space Separator 460
 
9.0%
Uppercase Letter 432
 
8.5%
Decimal Number 409
 
8.0%
Close Punctuation 63
 
1.2%
Open Punctuation 63
 
1.2%
Lowercase Letter 4
 
0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 469
 
12.9%
유 293
 
8.0%
수 180
 
4.9%
아 177
 
4.9%
미 174
 
4.8%
븐 170
 
4.7%
씨 124
 
3.4%
세 101
 
2.8%
일 94
 
2.6%
북 82
 
2.2%
Other values (205) 1785
48.9%
Uppercase Letter
ValueCountFrequency (%)
S 167
38.7%
G 160
37.0%
U 45
 
10.4%
C 44
 
10.2%
K 7
 
1.6%
E 3
 
0.7%
L 2
 
0.5%
R 1
 
0.2%
P 1
 
0.2%
V 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 186
45.5%
5 183
44.7%
1 11
 
2.7%
4 9
 
2.2%
3 8
 
2.0%
6 5
 
1.2%
9 4
 
1.0%
7 3
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
g 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
! 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
460
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3649
71.8%
Common 998
 
19.6%
Latin 436
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 469
 
12.9%
유 293
 
8.0%
수 180
 
4.9%
아 177
 
4.9%
미 174
 
4.8%
븐 170
 
4.7%
씨 124
 
3.4%
세 101
 
2.8%
일 94
 
2.6%
북 82
 
2.2%
Other values (205) 1785
48.9%
Common
ValueCountFrequency (%)
460
46.1%
2 186
18.6%
5 183
 
18.3%
) 63
 
6.3%
( 63
 
6.3%
1 11
 
1.1%
4 9
 
0.9%
3 8
 
0.8%
6 5
 
0.5%
9 4
 
0.4%
Other values (4) 6
 
0.6%
Latin
ValueCountFrequency (%)
S 167
38.3%
G 160
36.7%
U 45
 
10.3%
C 44
 
10.1%
K 7
 
1.6%
E 3
 
0.7%
s 2
 
0.5%
L 2
 
0.5%
g 1
 
0.2%
R 1
 
0.2%
Other values (4) 4
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3649
71.8%
ASCII 1434
 
28.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 469
 
12.9%
유 293
 
8.0%
수 180
 
4.9%
아 177
 
4.9%
미 174
 
4.8%
븐 170
 
4.7%
씨 124
 
3.4%
세 101
 
2.8%
일 94
 
2.6%
북 82
 
2.2%
Other values (205) 1785
48.9%
ASCII
ValueCountFrequency (%)
460
32.1%
2 186
13.0%
5 183
 
12.8%
S 167
 
11.6%
G 160
 
11.2%
) 63
 
4.4%
( 63
 
4.4%
U 45
 
3.1%
C 44
 
3.1%
1 11
 
0.8%
Other values (18) 52
 
3.6%

최종수정일자
Date

UNIQUE 

Distinct484
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2013-10-17 11:36:19
Maximum2024-05-03 13:55:07
2024-05-11T16:02:06.463413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:06.749257image/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 size3.9 KiB
I
245 
U
239 

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 245
50.6%
U 239
49.4%

Length

2024-05-11T16:02:06.965428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:07.124214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 245
50.6%
u 239
49.4%

데이터갱신일자
Date

Distinct262
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T16:02:07.335108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:07.571531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct308
Distinct (%)63.8%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean201957.06
Minimum200540.03
Maximum204157.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:02:07.782636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200540.03
5-th percentile200913.78
Q1201410.85
median201976.61
Q3202391.84
95-th percentile203156.49
Maximum204157.84
Range3617.8174
Interquartile range (IQR)980.989

Descriptive statistics

Standard deviation683.62565
Coefficient of variation (CV)0.0033850049
Kurtosis-0.049717659
Mean201957.06
Median Absolute Deviation (MAD)467.39493
Skewness0.36513865
Sum97545261
Variance467344.03
MonotonicityNot monotonic
2024-05-11T16:02:08.019610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202146.24309535 5
 
1.0%
200843.294253566 5
 
1.0%
200652.945821852 4
 
0.8%
202027.767559822 4
 
0.8%
202051.716128051 4
 
0.8%
201774.699949696 4
 
0.8%
201293.723872419 4
 
0.8%
201553.638460334 4
 
0.8%
201564.838398137 4
 
0.8%
201196.612951455 4
 
0.8%
Other values (298) 441
91.1%
ValueCountFrequency (%)
200540.026077316 1
 
0.2%
200652.945821852 4
0.8%
200715.402705655 1
 
0.2%
200767.871582273 2
 
0.4%
200773.462433416 2
 
0.4%
200813.95192736 1
 
0.2%
200843.294253566 5
1.0%
200850.742477462 2
 
0.4%
200852.44530733 1
 
0.2%
200861.77746873 2
 
0.4%
ValueCountFrequency (%)
204157.843492258 1
 
0.2%
203981.35 1
 
0.2%
203920.882629874 1
 
0.2%
203812.72109062 2
0.4%
203784.358132827 2
0.4%
203746.119397218 2
0.4%
203617.493236143 1
 
0.2%
203407.971653433 1
 
0.2%
203405.728060301 3
0.6%
203399.492544651 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct308
Distinct (%)63.8%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean458909.11
Minimum456442.95
Maximum462369.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:02:08.189212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456442.95
5-th percentile456884.54
Q1458037.92
median459025.84
Q3459794.83
95-th percentile460639.15
Maximum462369.17
Range5926.2155
Interquartile range (IQR)1756.9076

Descriptive statistics

Standard deviation1249.459
Coefficient of variation (CV)0.0027226721
Kurtosis-0.22982027
Mean458909.11
Median Absolute Deviation (MAD)874.27443
Skewness0.22540759
Sum2.216531 × 108
Variance1561147.9
MonotonicityNot monotonic
2024-05-11T16:02:08.390081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459844.600778291 5
 
1.0%
462226.287725886 5
 
1.0%
460433.286183357 4
 
0.8%
459486.518239874 4
 
0.8%
458233.274090206 4
 
0.8%
457609.981079237 4
 
0.8%
457479.348898803 4
 
0.8%
457539.107670453 4
 
0.8%
458151.567936433 4
 
0.8%
460569.684262904 4
 
0.8%
Other values (298) 441
91.1%
ValueCountFrequency (%)
456442.951197483 1
0.2%
456449.379330053 1
0.2%
456580.413391606 1
0.2%
456624.789751754 1
0.2%
456672.933471884 2
0.4%
456683.469621481 2
0.4%
456691.143759479 1
0.2%
456713.409260851 2
0.4%
456773.18771719 2
0.4%
456792.018736677 1
0.2%
ValueCountFrequency (%)
462369.166684114 2
 
0.4%
462286.724762047 2
 
0.4%
462226.287725886 5
1.0%
462072.887842384 1
 
0.2%
461795.361100361 3
0.6%
461733.011414969 1
 
0.2%
461669.697778244 1
 
0.2%
461527.925995097 1
 
0.2%
461412.18095897 2
 
0.4%
461352.318556468 1
 
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)30.4%
Missing438
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean16.182174
Minimum0
Maximum90
Zeros27
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:02:08.593076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.075
95-th percentile75.4425
Maximum90
Range90
Interquartile range (IQR)12.075

Descriptive statistics

Standard deviation28.495836
Coefficient of variation (CV)1.7609399
Kurtosis0.76296436
Mean16.182174
Median Absolute Deviation (MAD)0
Skewness1.5170701
Sum744.38
Variance812.01266
MonotonicityNot monotonic
2024-05-11T16:02:08.764522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 27
 
5.6%
3.3 6
 
1.2%
90.0 2
 
0.4%
60.0 1
 
0.2%
53.0 1
 
0.2%
15.0 1
 
0.2%
33.0 1
 
0.2%
65.0 1
 
0.2%
59.4 1
 
0.2%
66.0 1
 
0.2%
Other values (4) 4
 
0.8%
(Missing) 438
90.5%
ValueCountFrequency (%)
0.0 27
5.6%
3.0 1
 
0.2%
3.3 6
 
1.2%
15.0 1
 
0.2%
33.0 1
 
0.2%
49.59 1
 
0.2%
53.0 1
 
0.2%
59.4 1
 
0.2%
60.0 1
 
0.2%
62.0 1
 
0.2%
ValueCountFrequency (%)
90.0 2
0.4%
78.59 1
0.2%
66.0 1
0.2%
65.0 1
0.2%
62.0 1
0.2%
60.0 1
0.2%
59.4 1
0.2%
53.0 1
0.2%
49.59 1
0.2%
33.0 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03080000PHMH32012308003308750000120121031<NA>3폐업3폐업20140219<NA><NA><NA><NA><NA>142864서울특별시 강북구 번동 418번지 9호서울특별시 강북구 도봉로 350 (번동)142864GS25 수유역점2014-02-19 13:19:36I2018-08-31 23:59:59.0<NA>202286.639514459579.709768<NA>
13080000PHMH32012308003308750000220121101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-900-2511<NA>142864서울특별시 강북구 번동 411번지 1호서울특별시 강북구 덕릉로 159 (번동)1067GS25 번동위브점2013-10-17 11:36:19I2018-08-31 23:59:59.0<NA>202702.983688459235.189057<NA>
23080000PHMH32012308003308750000320121101<NA>3폐업3폐업20121121<NA><NA><NA>02-907-7110<NA>142877서울특별시 강북구 수유동 322번지 22호서울특별시 강북구 삼양로 474 (수유동)142877세븐일레븐 수유장미원점2013-10-17 11:37:29I2018-08-31 23:59:59.0<NA>201321.106959460348.079109<NA>
33080000PHMH32012308003308750000420121102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-990-1325<NA>142884서울특별시 강북구 수유동 410번지 283호서울특별시 강북구 삼각산로 81 (수유동)1036GS25 수유문화점2013-10-17 11:36:56I2018-08-31 23:59:59.0<NA>201092.079121459768.079421<NA>
43080000PHMH32012308003308750000520121102<NA>3폐업3폐업20140523<NA><NA><NA>070-4110-7430<NA>142874서울특별시 강북구 수유동 52번지 1호서울특별시 강북구 덕릉로24길 37 (수유동)142874씨유2014-05-23 11:10:24I2018-08-31 23:59:59.0<NA>201811.151102458962.835544<NA>
53080000PHMH32012308003308750000620121105<NA>4취소/말소/만료/정지/중지24직권폐업20190830<NA><NA><NA>02-988-5371<NA>142100서울특별시 강북구 미아동 1357번지 10호서울특별시 강북구 삼양로19길 138 (미아동)1197세븐일레븐 삼각산아이원점2019-09-02 09:54:07U2019-09-04 02:40:00.0<NA>201333.309316457138.344272<NA>
63080000PHMH32012308003308750000720121106<NA>3폐업3폐업20150610<NA><NA><NA>02-982-0604<NA>142100서울특별시 강북구 미아동 322번지 25호서울특별시 강북구 도봉로29길 10 (미아동)142100GS25 미아햇빛점2015-06-10 17:45:08I2018-08-31 23:59:59.0<NA>202373.209429457601.588651<NA>
73080000PHMH3201230800330875000082012-11-06<NA>3폐업3폐업2023-04-11<NA><NA><NA>02-997-8827<NA>142-878서울특별시 강북구 수유동 192번지 4호서울특별시 강북구 한천로139길 46 (수유동)1072씨유 수유중앙점2023-04-12 11:34:19U2022-12-03 23:04:00.0<NA>202114.575261459591.251823<NA>
83080000PHMH32012308003308750000920121106<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4238-7244<NA>142100서울특별시 강북구 미아동 323번지 19호서울특별시 강북구 솔샘로67길 67 (미아동)1177세븐일레븐 도봉세무서점2016-05-27 17:51:08I2018-08-31 23:59:59.0<NA>202356.950668457532.152746<NA>
93080000PHMH32012308003308750001020121106<NA>3폐업3폐업20151119<NA><NA><NA>02-983-4151<NA>142821서울특별시 강북구 미아동 838번지 61호서울특별시 강북구 솔샘로 215 (미아동)1188세븐일레븐 강북솔샘길점2015-11-19 17:48:30I2018-08-31 23:59:59.0<NA>201396.611768457540.995757<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
4743080000PHMH3202430800330875000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 224-30서울특별시 강북구 도봉로53길 45, 1층 (미아동)1126지에스25(GS25)미아사거리점2024-01-03 17:55:53I2023-12-01 00:05:00.0<NA>201976.611195458219.084577<NA>
4753080000PHMH3202430800330875000022024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 280-27 청운빌딩서울특별시 강북구 4.19로 21, 청운빌딩 (수유동)1026지에스25(GS25)수유사일구점2024-01-05 15:53:12I2023-12-01 00:07:00.0<NA>200982.852756460570.946389<NA>
4763080000PHMH3202430800330875000032024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 181-42서울특별시 강북구 한천로150길 16, 1층 (수유동)1053씨유(CU) 광산사거리점2024-01-18 17:10:12U2023-11-30 22:00:00.0<NA>202009.110299460108.89976<NA>
4773080000PHMH3202430800330875000042024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 우이동 16-6서울특별시 강북구 삼양로 675, 1층 (우이동)1002씨유 우이장학관점2024-01-24 11:29:18I2023-11-30 22:07:00.0<NA>201016.223325462286.724762<NA>
4783080000PHMH3202430800330875000052024-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 777-5서울특별시 강북구 삼양로 248 (미아동)1122지에스25(GS25) 삼양오거리점2024-02-08 14:44:13I2023-12-01 23:01:00.0<NA>201564.838398458151.567936<NA>
4793080000PHMH3202430800330875000062024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 45-2서울특별시 강북구 노해로 1 (수유동)1081지에스(GS)25 수유더오페라점2024-02-20 09:22:21I2023-12-01 22:02:00.0<NA>201946.879194459256.471647<NA>
4803080000PHMH3202430800330875000072024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 317-30서울특별시 강북구 도봉로33길 10, 1층 (미아동)1175씨유 미아행운점2024-03-28 13:33:39I2023-12-02 21:00:00.0<NA>202341.130589457704.312834<NA>
4813080000PHMH3202430800330875000082024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 791-957 대성빌딩서울특별시 강북구 삼양로 261, 대성빌딩 1층 (미아동)1109GS25 삼양역점2024-03-29 16:34:55I2023-12-02 21:01:00.0<NA>201516.738326458266.207333<NA>
4823080000PHMH3202430800330875000092024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 441-28 우일빌딩서울특별시 강북구 덕릉로 126, 우일빌딩 1층 (번동)1130씨유 번동덕릉로점2024-04-24 17:10:37I2023-12-03 22:06:00.0<NA>202382.181277459149.972155<NA>
4833080000PHMH3202430800330875000102024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 1353-7 금강빌딩서울특별시 강북구 삼양로19길 214, 금강빌딩 (미아동)1193(주)코리아세븐 삼각산SK점2024-05-03 13:55:07I2023-12-05 00:05:00.0<NA>201293.723872457479.348899<NA>