Overview

Dataset statistics

Number of variables26
Number of observations664
Missing cells4828
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.4 KiB
Average record size in memory221.2 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16297/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (96.9%)Imbalance
휴업종료일자 is highly imbalanced (97.2%)Imbalance
인허가취소일자 has 664 (100.0%) missing valuesMissing
폐업일자 has 292 (44.0%) missing valuesMissing
재개업일자 has 664 (100.0%) missing valuesMissing
전화번호 has 323 (48.6%) missing valuesMissing
소재지면적 has 664 (100.0%) missing valuesMissing
소재지우편번호 has 628 (94.6%) missing valuesMissing
지번주소 has 322 (48.5%) missing valuesMissing
업태구분명 has 664 (100.0%) missing valuesMissing
좌표정보(X) has 16 (2.4%) missing valuesMissing
좌표정보(Y) has 16 (2.4%) missing valuesMissing
판매점영업면적 has 574 (86.4%) 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 49 (7.4%) zerosZeros

Reproduction

Analysis started2024-04-17 19:34:17.033903
Analysis finished2024-04-17 19:34:17.527881
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3110000
664 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 664
100.0%

Length

2024-04-18T04:34:17.574848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:17.642998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 664
100.0%

관리번호
Text

UNIQUE 

Distinct664
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T04:34:17.781485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters16600
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

Unique664 ?
Unique (%)100.0%

Sample

1st rowPHMH320123110032087500001
2nd rowPHMH320123110032087500002
3rd rowPHMH320123110032087500003
4th rowPHMH320123110032087500004
5th rowPHMH320123110032087500005
ValueCountFrequency (%)
phmh320123110032087500001 1
 
0.2%
phmh320183110032087500039 1
 
0.2%
phmh320183110032087500041 1
 
0.2%
phmh320183110032087500042 1
 
0.2%
phmh320183110032087500043 1
 
0.2%
phmh320183110032087500044 1
 
0.2%
phmh320183110032087500045 1
 
0.2%
phmh320183110032087500046 1
 
0.2%
phmh320183110032087500047 1
 
0.2%
phmh320183110032087500048 1
 
0.2%
Other values (654) 654
98.5%
2024-04-18T04:34:18.035116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4853
29.2%
3 2271
13.7%
1 2090
12.6%
2 1878
 
11.3%
H 1328
 
8.0%
5 835
 
5.0%
8 789
 
4.8%
7 789
 
4.8%
P 664
 
4.0%
M 664
 
4.0%
Other values (3) 439
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13944
84.0%
Uppercase Letter 2656
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4853
34.8%
3 2271
16.3%
1 2090
15.0%
2 1878
 
13.5%
5 835
 
6.0%
8 789
 
5.7%
7 789
 
5.7%
4 182
 
1.3%
6 150
 
1.1%
9 107
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1328
50.0%
P 664
25.0%
M 664
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13944
84.0%
Latin 2656
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4853
34.8%
3 2271
16.3%
1 2090
15.0%
2 1878
 
13.5%
5 835
 
6.0%
8 789
 
5.7%
7 789
 
5.7%
4 182
 
1.3%
6 150
 
1.1%
9 107
 
0.8%
Latin
ValueCountFrequency (%)
H 1328
50.0%
P 664
25.0%
M 664
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4853
29.2%
3 2271
13.7%
1 2090
12.6%
2 1878
 
11.3%
H 1328
 
8.0%
5 835
 
5.0%
8 789
 
4.8%
7 789
 
4.8%
P 664
 
4.0%
M 664
 
4.0%
Other values (3) 439
 
2.6%

인허가일자
Date

Distinct458
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2012-01-02 00:00:00
Maximum2024-03-28 00:00:00
2024-04-18T04:34:18.144261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:34:18.249044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
371 
1
287 
2
 
5
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 371
55.9%
1 287
43.2%
2 5
 
0.8%
4 1
 
0.2%

Length

2024-04-18T04:34:18.346256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:18.678680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 371
55.9%
1 287
43.2%
2 5
 
0.8%
4 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
371 
영업/정상
287 
휴업
 
5
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.314759
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 371
55.9%
영업/정상 287
43.2%
휴업 5
 
0.8%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-18T04:34:18.778238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:18.864133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 371
55.9%
영업/정상 287
43.2%
휴업 5
 
0.8%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
371 
13
287 
2
 
5
24
 
1

Length

Max length2
Median length1
Mean length1.4337349
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 371
55.9%
13 287
43.2%
2 5
 
0.8%
24 1
 
0.2%

Length

2024-04-18T04:34:18.956636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:19.036202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 371
55.9%
13 287
43.2%
2 5
 
0.8%
24 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
371 
영업중
287 
휴업
 
5
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.435241
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 371
55.9%
영업중 287
43.2%
휴업 5
 
0.8%
직권폐업 1
 
0.2%

Length

2024-04-18T04:34:19.127595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:19.214260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 371
55.9%
영업중 287
43.2%
휴업 5
 
0.8%
직권폐업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct326
Distinct (%)87.6%
Missing292
Missing (%)44.0%
Memory size5.3 KiB
Minimum2012-11-19 00:00:00
Maximum2024-02-27 00:00:00
2024-04-18T04:34:19.300174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:34:19.416933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
659 
20121226
 
1
20121217
 
1
20200820
 
1
20190510
 
1

Length

Max length8
Median length4
Mean length4.0301205
Min length4

Unique

Unique5 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 659
99.2%
20121226 1
 
0.2%
20121217 1
 
0.2%
20200820 1
 
0.2%
20190510 1
 
0.2%
20211012 1
 
0.2%

Length

2024-04-18T04:34:19.524266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:19.615178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 659
99.2%
20121226 1
 
0.2%
20121217 1
 
0.2%
20200820 1
 
0.2%
20190510 1
 
0.2%
20211012 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
660 
20141225
 
1
20211225
 
1
20200509
 
1
20231231
 
1

Length

Max length8
Median length4
Mean length4.0240964
Min length4

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 660
99.4%
20141225 1
 
0.2%
20211225 1
 
0.2%
20200509 1
 
0.2%
20231231 1
 
0.2%

Length

2024-04-18T04:34:19.707969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:19.793935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 660
99.4%
20141225 1
 
0.2%
20211225 1
 
0.2%
20200509 1
 
0.2%
20231231 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

전화번호
Text

MISSING 

Distinct327
Distinct (%)95.9%
Missing323
Missing (%)48.6%
Memory size5.3 KiB
2024-04-18T04:34:20.017874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.0351906
Min length7

Characters and Unicode

Total characters3081
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

Unique315 ?
Unique (%)92.4%

Sample

1st row023585599
2nd row387-4423
3rd row023571335
4th row023894463
5th row080-855-5525
ValueCountFrequency (%)
080-855-5525 3
 
0.9%
02-3284-8129 3
 
0.9%
02-387-2540 2
 
0.6%
351-4256 2
 
0.6%
023063927 2
 
0.6%
385-2676 2
 
0.6%
02-3157-8809 2
 
0.6%
023077031 2
 
0.6%
02-373-3055 2
 
0.6%
02-303-1546 2
 
0.6%
Other values (317) 319
93.5%
2024-04-18T04:34:20.360150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 524
17.0%
2 367
11.9%
0 357
11.6%
5 350
11.4%
- 302
9.8%
8 290
9.4%
7 193
 
6.3%
4 182
 
5.9%
6 176
 
5.7%
1 174
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2779
90.2%
Dash Punctuation 302
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 524
18.9%
2 367
13.2%
0 357
12.8%
5 350
12.6%
8 290
10.4%
7 193
 
6.9%
4 182
 
6.5%
6 176
 
6.3%
1 174
 
6.3%
9 166
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3081
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 524
17.0%
2 367
11.9%
0 357
11.6%
5 350
11.4%
- 302
9.8%
8 290
9.4%
7 193
 
6.3%
4 182
 
5.9%
6 176
 
5.7%
1 174
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 524
17.0%
2 367
11.9%
0 357
11.6%
5 350
11.4%
- 302
9.8%
8 290
9.4%
7 193
 
6.3%
4 182
 
5.9%
6 176
 
5.7%
1 174
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)86.1%
Missing628
Missing (%)94.6%
Memory size5.3 KiB
2024-04-18T04:34:20.521643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0555556
Min length6

Characters and Unicode

Total characters218
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

Unique27 ?
Unique (%)75.0%

Sample

1st row122845
2nd row122842
3rd row122740
4th row122-879
5th row122858
ValueCountFrequency (%)
122051 3
 
8.3%
122842 2
 
5.6%
122030 2
 
5.6%
122200 2
 
5.6%
122833 1
 
2.8%
122808 1
 
2.8%
122041 1
 
2.8%
122960 1
 
2.8%
122838 1
 
2.8%
03354 1
 
2.8%
Other values (21) 21
58.3%
2024-04-18T04:34:20.765805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 64
29.4%
1 38
17.4%
0 28
12.8%
8 22
 
10.1%
3 17
 
7.8%
4 14
 
6.4%
5 10
 
4.6%
7
 
3.2%
6 6
 
2.8%
7 5
 
2.3%
Other values (2) 7
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209
95.9%
Space Separator 7
 
3.2%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 64
30.6%
1 38
18.2%
0 28
13.4%
8 22
 
10.5%
3 17
 
8.1%
4 14
 
6.7%
5 10
 
4.8%
6 6
 
2.9%
7 5
 
2.4%
9 5
 
2.4%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 64
29.4%
1 38
17.4%
0 28
12.8%
8 22
 
10.1%
3 17
 
7.8%
4 14
 
6.4%
5 10
 
4.6%
7
 
3.2%
6 6
 
2.8%
7 5
 
2.3%
Other values (2) 7
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 64
29.4%
1 38
17.4%
0 28
12.8%
8 22
 
10.1%
3 17
 
7.8%
4 14
 
6.4%
5 10
 
4.6%
7
 
3.2%
6 6
 
2.8%
7 5
 
2.3%
Other values (2) 7
 
3.2%

지번주소
Text

MISSING 

Distinct328
Distinct (%)95.9%
Missing322
Missing (%)48.5%
Memory size5.3 KiB
2024-04-18T04:34:21.008135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length25.380117
Min length13

Characters and Unicode

Total characters8680
Distinct characters202
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)91.8%

Sample

1st row서울특별시 은평구 대조동 223번지 13호 연서동물병원
2nd row서울특별시 은평구 대조동 187번지 53호 예당독서실
3rd row서울특별시 은평구 진관동 27번지 은평뉴타운구파발
4th row서울특별시 은평구 1번지 50호
5th row서울특별시 은평구 역촌동 71번지 11호
ValueCountFrequency (%)
서울특별시 342
18.4%
은평구 342
18.4%
갈현동 61
 
3.3%
1층 60
 
3.2%
응암동 47
 
2.5%
불광동 36
 
1.9%
신사동 35
 
1.9%
역촌동 34
 
1.8%
진관동 33
 
1.8%
1호 32
 
1.7%
Other values (524) 839
45.1%
2024-04-18T04:34:21.363771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1527
 
17.6%
1 421
 
4.9%
동 377
 
4.3%
은 366
 
4.2%
평 364
 
4.2%
구 360
 
4.1%
서 348
 
4.0%
울 346
 
4.0%
시 345
 
4.0%
특 342
 
3.9%
Other values (192) 3884
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5300
61.1%
Decimal Number 1692
 
19.5%
Space Separator 1527
 
17.6%
Dash Punctuation 103
 
1.2%
Uppercase Letter 40
 
0.5%
Other Punctuation 13
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 377
 
7.1%
은 366
 
6.9%
평 364
 
6.9%
구 360
 
6.8%
서 348
 
6.6%
울 346
 
6.5%
시 345
 
6.5%
특 342
 
6.5%
별 342
 
6.5%
호 258
 
4.9%
Other values (168) 1852
34.9%
Decimal Number
ValueCountFrequency (%)
1 421
24.9%
2 228
13.5%
3 192
11.3%
4 166
 
9.8%
0 159
 
9.4%
5 144
 
8.5%
8 105
 
6.2%
7 97
 
5.7%
9 95
 
5.6%
6 85
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
30.0%
C 6
15.0%
D 6
15.0%
M 6
15.0%
L 4
 
10.0%
K 2
 
5.0%
A 2
 
5.0%
S 1
 
2.5%
T 1
 
2.5%
Space Separator
ValueCountFrequency (%)
1527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5300
61.1%
Common 3338
38.5%
Latin 42
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 377
 
7.1%
은 366
 
6.9%
평 364
 
6.9%
구 360
 
6.8%
서 348
 
6.6%
울 346
 
6.5%
시 345
 
6.5%
특 342
 
6.5%
별 342
 
6.5%
호 258
 
4.9%
Other values (168) 1852
34.9%
Common
ValueCountFrequency (%)
1527
45.7%
1 421
 
12.6%
2 228
 
6.8%
3 192
 
5.8%
4 166
 
5.0%
0 159
 
4.8%
5 144
 
4.3%
8 105
 
3.1%
- 103
 
3.1%
7 97
 
2.9%
Other values (4) 196
 
5.9%
Latin
ValueCountFrequency (%)
B 12
28.6%
C 6
14.3%
D 6
14.3%
M 6
14.3%
L 4
 
9.5%
e 2
 
4.8%
K 2
 
4.8%
A 2
 
4.8%
S 1
 
2.4%
T 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5300
61.1%
ASCII 3380
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1527
45.2%
1 421
 
12.5%
2 228
 
6.7%
3 192
 
5.7%
4 166
 
4.9%
0 159
 
4.7%
5 144
 
4.3%
8 105
 
3.1%
- 103
 
3.0%
7 97
 
2.9%
Other values (14) 238
 
7.0%
Hangul
ValueCountFrequency (%)
동 377
 
7.1%
은 366
 
6.9%
평 364
 
6.9%
구 360
 
6.8%
서 348
 
6.6%
울 346
 
6.5%
시 345
 
6.5%
특 342
 
6.5%
별 342
 
6.5%
호 258
 
4.9%
Other values (168) 1852
34.9%

도로명주소
Text

Distinct552
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T04:34:21.605985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length29.593373
Min length21

Characters and Unicode

Total characters19650
Distinct characters239
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

Unique453 ?
Unique (%)68.2%

Sample

1st row서울특별시 은평구 갈현로33길 14-1 (갈현동)
2nd row서울특별시 은평구 연서로34길 12 (불광동)
3rd row서울특별시 은평구 연서로 162 (대조동, 연서동물병원)
4th row서울특별시 은평구 불광천길 326 (응암동)
5th row서울특별시 은평구 불광로 131 (불광동)
ValueCountFrequency (%)
서울특별시 664
 
16.8%
은평구 664
 
16.8%
1층 173
 
4.4%
응암동 101
 
2.6%
갈현동 91
 
2.3%
불광동 83
 
2.1%
역촌동 75
 
1.9%
신사동 62
 
1.6%
진관동 61
 
1.5%
대조동 61
 
1.5%
Other values (662) 1914
48.5%
2024-04-18T04:34:21.973527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3285
 
16.7%
1 902
 
4.6%
서 850
 
4.3%
은 779
 
4.0%
평 775
 
3.9%
동 732
 
3.7%
구 708
 
3.6%
울 670
 
3.4%
시 668
 
3.4%
별 664
 
3.4%
Other values (229) 9617
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11434
58.2%
Space Separator 3285
 
16.7%
Decimal Number 2958
 
15.1%
Close Punctuation 664
 
3.4%
Open Punctuation 664
 
3.4%
Other Punctuation 470
 
2.4%
Dash Punctuation 116
 
0.6%
Uppercase Letter 52
 
0.3%
Math Symbol 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 850
 
7.4%
은 779
 
6.8%
평 775
 
6.8%
동 732
 
6.4%
구 708
 
6.2%
울 670
 
5.9%
시 668
 
5.8%
별 664
 
5.8%
특 664
 
5.8%
로 647
 
5.7%
Other values (202) 4277
37.4%
Decimal Number
ValueCountFrequency (%)
1 902
30.5%
2 430
14.5%
0 297
 
10.0%
3 277
 
9.4%
4 197
 
6.7%
7 197
 
6.7%
5 189
 
6.4%
9 163
 
5.5%
6 155
 
5.2%
8 151
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 16
30.8%
M 9
17.3%
D 8
15.4%
C 8
15.4%
A 4
 
7.7%
L 3
 
5.8%
K 2
 
3.8%
S 1
 
1.9%
T 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 469
99.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 664
100.0%
Open Punctuation
ValueCountFrequency (%)
( 664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11434
58.2%
Common 8162
41.5%
Latin 54
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 850
 
7.4%
은 779
 
6.8%
평 775
 
6.8%
동 732
 
6.4%
구 708
 
6.2%
울 670
 
5.9%
시 668
 
5.8%
별 664
 
5.8%
특 664
 
5.8%
로 647
 
5.7%
Other values (202) 4277
37.4%
Common
ValueCountFrequency (%)
3285
40.2%
1 902
 
11.1%
) 664
 
8.1%
( 664
 
8.1%
, 469
 
5.7%
2 430
 
5.3%
0 297
 
3.6%
3 277
 
3.4%
4 197
 
2.4%
7 197
 
2.4%
Other values (7) 780
 
9.6%
Latin
ValueCountFrequency (%)
B 16
29.6%
M 9
16.7%
D 8
14.8%
C 8
14.8%
A 4
 
7.4%
L 3
 
5.6%
K 2
 
3.7%
e 2
 
3.7%
S 1
 
1.9%
T 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11434
58.2%
ASCII 8216
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3285
40.0%
1 902
 
11.0%
) 664
 
8.1%
( 664
 
8.1%
, 469
 
5.7%
2 430
 
5.2%
0 297
 
3.6%
3 277
 
3.4%
4 197
 
2.4%
7 197
 
2.4%
Other values (17) 834
 
10.2%
Hangul
ValueCountFrequency (%)
서 850
 
7.4%
은 779
 
6.8%
평 775
 
6.8%
동 732
 
6.4%
구 708
 
6.2%
울 670
 
5.9%
시 668
 
5.8%
별 664
 
5.8%
특 664
 
5.8%
로 647
 
5.7%
Other values (202) 4277
37.4%

도로명우편번호
Real number (ℝ)

Distinct234
Distinct (%)35.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean15283.994
Minimum3300
Maximum122960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-18T04:34:22.085667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3306
Q13349
median3407
Q33461.5
95-th percentile122862.9
Maximum122960
Range119660
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation35779.414
Coefficient of variation (CV)2.3409728
Kurtosis5.2042965
Mean15283.994
Median Absolute Deviation (MAD)57
Skewness2.6811456
Sum10133288
Variance1.2801665 × 109
MonotonicityNot monotonic
2024-04-18T04:34:22.204149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3385 13
 
2.0%
3302 12
 
1.8%
3306 11
 
1.7%
3320 9
 
1.4%
3454 9
 
1.4%
3311 9
 
1.4%
3450 8
 
1.2%
3329 8
 
1.2%
3453 7
 
1.1%
3368 7
 
1.1%
Other values (224) 570
85.8%
ValueCountFrequency (%)
3300 5
0.8%
3301 6
0.9%
3302 12
1.8%
3303 3
 
0.5%
3304 2
 
0.3%
3305 2
 
0.3%
3306 11
1.7%
3308 3
 
0.5%
3309 2
 
0.3%
3310 1
 
0.2%
ValueCountFrequency (%)
122960 1
0.2%
122959 1
0.2%
122957 1
0.2%
122955 1
0.2%
122952 1
0.2%
122941 2
0.3%
122935 1
0.2%
122923 1
0.2%
122913 1
0.2%
122910 1
0.2%

사업장명
Text

Distinct565
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T04:34:22.377301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.685241
Min length3

Characters and Unicode

Total characters6431
Distinct characters257
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

Unique484 ?
Unique (%)72.9%

Sample

1st row세븐일레븐갈현대성점
2nd row세븐일레븐은평불광점
3rd row지에스25연서로점
4th row씨유응암와산교점
5th row지에스25독바위역점
ValueCountFrequency (%)
씨유 61
 
7.3%
지에스25 31
 
3.7%
주)코리아세븐 19
 
2.3%
지에스(gs)25 16
 
1.9%
세븐일레븐 15
 
1.8%
이마트24 9
 
1.1%
씨유구산역점 4
 
0.5%
gs25 4
 
0.5%
씨유응암와산교점 4
 
0.5%
지에스25은평불광점 3
 
0.4%
Other values (561) 673
80.2%
2024-04-18T04:34:22.665560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 586
 
9.1%
스 287
 
4.5%
2 272
 
4.2%
5 253
 
3.9%
에 240
 
3.7%
지 239
 
3.7%
븐 227
 
3.5%
씨 217
 
3.4%
유 214
 
3.3%
은 180
 
2.8%
Other values (247) 3716
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5449
84.7%
Decimal Number 567
 
8.8%
Space Separator 175
 
2.7%
Uppercase Letter 125
 
1.9%
Close Punctuation 58
 
0.9%
Open Punctuation 57
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 586
 
10.8%
스 287
 
5.3%
에 240
 
4.4%
지 239
 
4.4%
븐 227
 
4.2%
씨 217
 
4.0%
유 214
 
3.9%
은 180
 
3.3%
평 178
 
3.3%
세 136
 
2.5%
Other values (225) 2945
54.0%
Uppercase Letter
ValueCountFrequency (%)
S 47
37.6%
G 43
34.4%
C 8
 
6.4%
D 7
 
5.6%
M 7
 
5.6%
R 6
 
4.8%
K 2
 
1.6%
I 2
 
1.6%
P 1
 
0.8%
N 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 272
48.0%
5 253
44.6%
4 19
 
3.4%
3 13
 
2.3%
6 5
 
0.9%
1 3
 
0.5%
9 1
 
0.2%
8 1
 
0.2%
Space Separator
ValueCountFrequency (%)
175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5449
84.7%
Common 857
 
13.3%
Latin 125
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 586
 
10.8%
스 287
 
5.3%
에 240
 
4.4%
지 239
 
4.4%
븐 227
 
4.2%
씨 217
 
4.0%
유 214
 
3.9%
은 180
 
3.3%
평 178
 
3.3%
세 136
 
2.5%
Other values (225) 2945
54.0%
Common
ValueCountFrequency (%)
2 272
31.7%
5 253
29.5%
175
20.4%
) 58
 
6.8%
( 57
 
6.7%
4 19
 
2.2%
3 13
 
1.5%
6 5
 
0.6%
1 3
 
0.4%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
S 47
37.6%
G 43
34.4%
C 8
 
6.4%
D 7
 
5.6%
M 7
 
5.6%
R 6
 
4.8%
K 2
 
1.6%
I 2
 
1.6%
P 1
 
0.8%
N 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5449
84.7%
ASCII 982
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 586
 
10.8%
스 287
 
5.3%
에 240
 
4.4%
지 239
 
4.4%
븐 227
 
4.2%
씨 217
 
4.0%
유 214
 
3.9%
은 180
 
3.3%
평 178
 
3.3%
세 136
 
2.5%
Other values (225) 2945
54.0%
ASCII
ValueCountFrequency (%)
2 272
27.7%
5 253
25.8%
175
17.8%
) 58
 
5.9%
( 57
 
5.8%
S 47
 
4.8%
G 43
 
4.4%
4 19
 
1.9%
3 13
 
1.3%
C 8
 
0.8%
Other values (12) 37
 
3.8%

최종수정일자
Date

UNIQUE 

Distinct664
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2013-07-30 11:10:41
Maximum2024-03-29 11:22:41
2024-04-18T04:34:22.785595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:34:22.886597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
I
371 
U
292 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
I 371
55.9%
U 292
44.0%
D 1
 
0.2%

Length

2024-04-18T04:34:22.982866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:34:23.065988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 371
55.9%
u 292
44.0%
d 1
 
0.2%

데이터갱신일자
Date

Distinct333
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-04-18T04:34:23.147909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:34:23.248928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct424
Distinct (%)65.4%
Missing16
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean192759.24
Minimum190148.39
Maximum194551.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-18T04:34:23.354188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190148.39
5-th percentile191631.1
Q1192304.98
median192751.1
Q3193208.87
95-th percentile193955.3
Maximum194551.18
Range4402.7919
Interquartile range (IQR)903.89041

Descriptive statistics

Standard deviation716.14386
Coefficient of variation (CV)0.0037152246
Kurtosis0.40787419
Mean192759.24
Median Absolute Deviation (MAD)451.80057
Skewness-0.20671833
Sum1.2490799 × 108
Variance512862.03
MonotonicityNot monotonic
2024-04-18T04:34:23.452818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192529.369280671 5
 
0.8%
193409.180318833 5
 
0.8%
192679.159197802 5
 
0.8%
192341.404129743 4
 
0.6%
193629.467856025 4
 
0.6%
192786.570245238 4
 
0.6%
192166.132783319 4
 
0.6%
192923.958692284 4
 
0.6%
192474.232884976 4
 
0.6%
192643.17581938 4
 
0.6%
Other values (414) 605
91.1%
(Missing) 16
 
2.4%
ValueCountFrequency (%)
190148.389108835 1
0.2%
190373.380194267 2
0.3%
190470.571086776 1
0.2%
190615.9021719 2
0.3%
190648.995217639 1
0.2%
190861.744872978 2
0.3%
191064.019644654 2
0.3%
191123.929735857 1
0.2%
191162.147539712 1
0.2%
191192.051375093 2
0.3%
ValueCountFrequency (%)
194551.181055314 2
0.3%
194507.485754764 1
0.2%
194367.970247735 1
0.2%
194362.604906634 1
0.2%
194351.457576382 1
0.2%
194325.245141684 1
0.2%
194304.687206867 1
0.2%
194234.259148799 2
0.3%
194228.02282041 2
0.3%
194199.345081 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct423
Distinct (%)65.3%
Missing16
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean456329.4
Minimum452890
Maximum460734.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-18T04:34:23.557265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452890
5-th percentile453676.55
Q1455222.31
median456277.29
Q3457338.88
95-th percentile459535.89
Maximum460734.65
Range7844.6452
Interquartile range (IQR)2116.57

Descriptive statistics

Standard deviation1644.0001
Coefficient of variation (CV)0.0036026609
Kurtosis-0.092318273
Mean456329.4
Median Absolute Deviation (MAD)1057.4213
Skewness0.344583
Sum2.9570145 × 108
Variance2702736.4
MonotonicityNot monotonic
2024-04-18T04:34:23.680990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457593.038009247 5
 
0.8%
457703.534373662 5
 
0.8%
456765.950221384 5
 
0.8%
454029.232151202 4
 
0.6%
456677.678455514 4
 
0.6%
457768.870220722 4
 
0.6%
455134.440709788 4
 
0.6%
457313.507266598 4
 
0.6%
456116.262767449 4
 
0.6%
456505.306891007 4
 
0.6%
Other values (413) 605
91.1%
(Missing) 16
 
2.4%
ValueCountFrequency (%)
452890.003005512 2
0.3%
453004.338574203 1
0.2%
453077.104830745 1
0.2%
453147.707700463 2
0.3%
453194.537663327 1
0.2%
453244.229758597 1
0.2%
453289.803633766 1
0.2%
453342.921616808 2
0.3%
453385.382719846 1
0.2%
453392.8986283 1
0.2%
ValueCountFrequency (%)
460734.648208213 1
 
0.2%
460722.590338 1
 
0.2%
460571.404699 1
 
0.2%
460413.01992851 1
 
0.2%
460408.084963 3
0.5%
460316.757008927 2
0.3%
460296.054891664 2
0.3%
460290.216473109 1
 
0.2%
460184.146458 1
 
0.2%
460116.135918587 2
0.3%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)38.9%
Missing574
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean35.149778
Minimum0
Maximum156.67
Zeros49
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-18T04:34:23.782798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353.9475
95-th percentile133.4
Maximum156.67
Range156.67
Interquartile range (IQR)53.9475

Descriptive statistics

Standard deviation46.010558
Coefficient of variation (CV)1.3089857
Kurtosis0.1030481
Mean35.149778
Median Absolute Deviation (MAD)0
Skewness1.1028402
Sum3163.48
Variance2116.9714
MonotonicityNot monotonic
2024-04-18T04:34:23.878510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 49
 
7.4%
66.0 3
 
0.5%
99.0 2
 
0.3%
48.0 2
 
0.3%
50.0 2
 
0.3%
33.0 2
 
0.3%
122.0 2
 
0.3%
42.22 1
 
0.2%
99.17 1
 
0.2%
137.0 1
 
0.2%
Other values (25) 25
 
3.8%
(Missing) 574
86.4%
ValueCountFrequency (%)
0.0 49
7.4%
33.0 2
 
0.3%
39.6 1
 
0.2%
39.9 1
 
0.2%
42.22 1
 
0.2%
42.9 1
 
0.2%
42.97 1
 
0.2%
43.0 1
 
0.2%
44.4 1
 
0.2%
46.8 1
 
0.2%
ValueCountFrequency (%)
156.67 1
0.2%
151.8 1
0.2%
145.0 1
0.2%
140.0 1
0.2%
137.0 1
0.2%
129.0 1
0.2%
122.0 2
0.3%
112.1 1
0.2%
108.0 1
0.2%
100.0 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03110000PHMH32012311003208750000120121107<NA>3폐업3폐업20161215<NA><NA><NA>023585599<NA><NA><NA>서울특별시 은평구 갈현로33길 14-1 (갈현동)3320세븐일레븐갈현대성점2016-12-16 09:17:39I2018-08-31 23:59:59.0<NA>192407.978856457626.771154<NA>
13110000PHMH32012311003208750000220121107<NA>3폐업3폐업20220106<NA><NA><NA>387-4423<NA><NA><NA>서울특별시 은평구 연서로34길 12 (불광동)3349세븐일레븐은평불광점2022-01-06 11:39:20U2022-01-08 02:40:00.0<NA>193536.090388457655.4312620.0
23110000PHMH32012311003208750000320121107<NA>3폐업3폐업20140318<NA><NA><NA><NA><NA>122845서울특별시 은평구 대조동 223번지 13호 연서동물병원서울특별시 은평구 연서로 162 (대조동, 연서동물병원)122845지에스25연서로점2014-03-19 10:55:37I2018-08-31 23:59:59.0<NA>192679.159198456765.950221<NA>
33110000PHMH32012311003208750000420121107<NA>3폐업3폐업20160802<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광천길 326 (응암동)3485씨유응암와산교점2016-08-02 17:41:51I2018-08-31 23:59:59.0<NA>192341.40413454029.232151<NA>
43110000PHMH32012311003208750000520121107<NA>3폐업3폐업20171201<NA><NA><NA>023571335<NA><NA><NA>서울특별시 은평구 불광로 131 (불광동)3354지에스25독바위역점2017-12-01 09:55:16I2018-08-31 23:59:59.0<NA>193997.701236457359.237795<NA>
53110000PHMH32012311003208750000620121107<NA>3폐업3폐업20190806<NA><NA><NA>023894463<NA><NA><NA>서울특별시 은평구 연서로 110 (역촌동)3399씨유예일역촌점2019-08-07 09:21:01U2019-08-09 02:40:00.0<NA>192518.067942456270.586876<NA>
63110000PHMH32012311003208750000720121107<NA>3폐업3폐업20180130<NA><NA><NA>080-855-5525<NA><NA><NA>서울특별시 은평구 연서로44길 7 (진관동, 은평뉴타운폭포동)3309지에스25은평폭포점2018-01-31 13:13:16I2018-08-31 23:59:59.0<NA>194304.687207459506.993451<NA>
73110000PHMH32012311003208750000820121107<NA>1영업/정상13영업중<NA><NA><NA><NA>353-0896<NA><NA><NA>서울특별시 은평구 서오릉로 217 (구산동)3425씨유서오능점2021-11-09 14:07:53U2021-11-11 02:40:00.0<NA>191944.8571456907.1176370.0
83110000PHMH32012311003208750000920121107<NA>3폐업3폐업20140527<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번로1길 23 (녹번동)122830씨유녹번초교점2014-05-27 17:52:28I2018-08-31 23:59:59.0<NA>193495.162598455905.316908<NA>
93110000PHMH32012311003208750001020121107<NA>3폐업3폐업20220106<NA><NA><NA>387-2502<NA><NA><NA>서울특별시 은평구 연서로13길 24 (구산동)3411세븐일레븐구산제일점2022-01-06 11:39:38U2022-01-08 02:40:00.0<NA>192293.651294456428.4478510.0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
6543110000PHMH3202331100320875000422023-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 226-19 고도하우스 101호서울특별시 은평구 서오릉로 134-10, 101호 (대조동, 고도하우스)3394씨유구산역행복점2023-11-27 17:19:56I2022-10-31 22:09:00.0<NA>192698.238495456559.757071<NA>
6553110000PHMH3202331100320875000432023-12-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 58-41 부호아파트 상가 103동 2호,3호서울특별시 은평구 역말로4길 18, 상가2호,3호 (역촌동, 부호아파트)3419지에스25역촌부호점2023-12-04 14:48:24I2022-11-02 00:06:00.0<NA>192224.652791455756.351008<NA>
6563110000PHMH3202431100320875000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 89 1층서울특별시 은평구 은평로21길 36, 1층 (녹번동)3382지에스25녹번가로길점2024-01-10 10:42:57I2023-11-30 23:02:00.0<NA>193792.984874455611.22809<NA>
6573110000PHMH3202431100320875000022024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 144-43 101,2호서울특별시 은평구 진흥로 114, 1층 101,102호 (녹번동)3378씨유역촌오거리점2024-01-18 11:15:04I2023-11-30 22:00:00.0<NA>193169.284193456034.106804<NA>
6583110000PHMH3202431100320875000032024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 89-1서울특별시 은평구 연서로 341 (불광동)3338씨유불광현대점2024-01-29 14:57:56I2023-11-30 21:01:00.0<NA>193636.336916458145.447306<NA>
6593110000PHMH3202431100320875000042024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 구산동 547 갈현1단지 e-편한세상아파트 상가동 104호서울특별시 은평구 서오릉로21길 47, 상가동 104, 105호 (구산동, 갈현1단지 e-편한세상아파트)3427씨유은평드림점2024-02-14 13:14:50I2023-12-01 23:06:00.0<NA>191648.750236456620.326186<NA>
6603110000PHMH3202431100320875000052024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 72 드림스퀘어서울특별시 은평구 진관2로 29-21, 드림스퀘어 1층 111호 (진관동)3306씨유 은평드림스퀘어점2024-02-28 10:15:09I2023-12-03 00:01:00.0<NA>192812.253775459266.981388<NA>
6613110000PHMH3202431100320875000062024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 19서울특별시 은평구 진관4로 17, 제상가층 104, 105호 (진관동)3302씨유진관캐슬점2024-03-22 14:55:48I2023-12-02 22:04:00.0<NA>193113.249411459913.076111<NA>
6623110000PHMH3202431100320875000072024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 538 미미아파트서울특별시 은평구 갈현로29길 11, 지하2층 101호 (갈현동, 미미아파트)3322씨유은평본점2024-03-28 09:17:00I2023-12-02 21:00:00.0<NA>192296.224738457406.890511<NA>
6633110000PHMH3202431100320875000082024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 323-10 아이빌딩서울특별시 은평구 통일로78길 11-11, 아이빌딩 1층 (불광동)3350지에스25연신내사랑점2024-03-29 11:22:41I2023-12-02 21:01:00.0<NA>193166.355773457355.665319<NA>