Overview

Dataset statistics

Number of variables26
Number of observations753
Missing cells6403
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory161.9 KiB
Average record size in memory220.2 B

Variable types

Categorical6
Text7
DateTime4
Unsupported6
Numeric3

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16310/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 753 (100.0%) missing valuesMissing
폐업일자 has 306 (40.6%) missing valuesMissing
휴업시작일자 has 753 (100.0%) missing valuesMissing
휴업종료일자 has 753 (100.0%) missing valuesMissing
재개업일자 has 753 (100.0%) missing valuesMissing
전화번호 has 480 (63.7%) missing valuesMissing
소재지면적 has 753 (100.0%) missing valuesMissing
소재지우편번호 has 478 (63.5%) missing valuesMissing
지번주소 has 67 (8.9%) missing valuesMissing
업태구분명 has 753 (100.0%) missing valuesMissing
좌표정보(X) has 12 (1.6%) missing valuesMissing
좌표정보(Y) has 12 (1.6%) missing valuesMissing
판매점영업면적 has 526 (69.9%) 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 40 (5.3%) zerosZeros

Reproduction

Analysis started2024-04-29 18:57:23.489311
Analysis finished2024-04-29 18:57:24.365948
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3240000
753 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 753
100.0%

Length

2024-04-30T03:57:24.428847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:24.503215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 753
100.0%

관리번호
Text

UNIQUE 

Distinct753
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T03:57:24.657811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters18825
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

Unique753 ?
Unique (%)100.0%

Sample

1st rowPHMH320123240033087500001
2nd rowPHMH320123240033087500002
3rd rowPHMH320123240033087500003
4th rowPHMH320123240033087500004
5th rowPHMH320123240033087500007
ValueCountFrequency (%)
phmh320123240033087500001 1
 
0.1%
phmh320193240033087500008 1
 
0.1%
phmh320193240033087500019 1
 
0.1%
phmh320183240033087500044 1
 
0.1%
phmh320193240033087500001 1
 
0.1%
phmh320193240033087500002 1
 
0.1%
phmh320193240033087500003 1
 
0.1%
phmh320193240033087500004 1
 
0.1%
phmh320193240033087500005 1
 
0.1%
phmh320193240033087500006 1
 
0.1%
Other values (743) 743
98.7%
2024-04-30T03:57:24.941852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5465
29.0%
3 3326
17.7%
2 2112
 
11.2%
H 1506
 
8.0%
4 1015
 
5.4%
5 956
 
5.1%
7 914
 
4.9%
8 878
 
4.7%
1 856
 
4.5%
P 753
 
4.0%
Other values (3) 1044
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15813
84.0%
Uppercase Letter 3012
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5465
34.6%
3 3326
21.0%
2 2112
 
13.4%
4 1015
 
6.4%
5 956
 
6.0%
7 914
 
5.8%
8 878
 
5.6%
1 856
 
5.4%
6 162
 
1.0%
9 129
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1506
50.0%
P 753
25.0%
M 753
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15813
84.0%
Latin 3012
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5465
34.6%
3 3326
21.0%
2 2112
 
13.4%
4 1015
 
6.4%
5 956
 
6.0%
7 914
 
5.8%
8 878
 
5.6%
1 856
 
5.4%
6 162
 
1.0%
9 129
 
0.8%
Latin
ValueCountFrequency (%)
H 1506
50.0%
P 753
25.0%
M 753
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5465
29.0%
3 3326
17.7%
2 2112
 
11.2%
H 1506
 
8.0%
4 1015
 
5.4%
5 956
 
5.1%
7 914
 
4.9%
8 878
 
4.7%
1 856
 
4.5%
P 753
 
4.0%
Other values (3) 1044
 
5.5%

인허가일자
Date

Distinct528
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2012-11-08 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T03:57:25.065200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:25.196962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing753
Missing (%)100.0%
Memory size6.7 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3
442 
1
306 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 442
58.7%
1 306
40.6%
4 5
 
0.7%

Length

2024-04-30T03:57:25.342496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:25.426503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 442
58.7%
1 306
40.6%
4 5
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업
442 
영업/정상
306 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length2
Mean length3.2988048
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 442
58.7%
영업/정상 306
40.6%
취소/말소/만료/정지/중지 5
 
0.7%

Length

2024-04-30T03:57:25.520061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:25.621881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 442
58.7%
영업/정상 306
40.6%
취소/말소/만료/정지/중지 5
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3
442 
13
306 
24
 
5

Length

Max length2
Median length1
Mean length1.4130146
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 442
58.7%
13 306
40.6%
24 5
 
0.7%

Length

2024-04-30T03:57:25.709602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:25.789762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 442
58.7%
13 306
40.6%
24 5
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업
442 
영업중
306 
직권폐업
 
5

Length

Max length4
Median length2
Mean length2.4196547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 442
58.7%
영업중 306
40.6%
직권폐업 5
 
0.7%

Length

2024-04-30T03:57:25.903873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:26.017751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 442
58.7%
영업중 306
40.6%
직권폐업 5
 
0.7%

폐업일자
Date

MISSING 

Distinct397
Distinct (%)88.8%
Missing306
Missing (%)40.6%
Memory size6.0 KiB
Minimum2012-12-10 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T03:57:26.113047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:26.228670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing753
Missing (%)100.0%
Memory size6.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing753
Missing (%)100.0%
Memory size6.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing753
Missing (%)100.0%
Memory size6.7 KiB

전화번호
Text

MISSING 

Distinct235
Distinct (%)86.1%
Missing480
Missing (%)63.7%
Memory size6.0 KiB
2024-04-30T03:57:26.462379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length11.084249
Min length8

Characters and Unicode

Total characters3026
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)74.7%

Sample

1st row02-478-5873
2nd row02-426-3370
3rd row02-486-2311
4th row02-430-2088
5th row02-478-3638
ValueCountFrequency (%)
02-475-6300 3
 
1.1%
02-426-8549 3
 
1.1%
02-475-0958 3
 
1.1%
02-481-8112 3
 
1.1%
02-486-8606 3
 
1.1%
02-488-2549 3
 
1.1%
02-479-3525 3
 
1.1%
02-428-1186 2
 
0.7%
02-474-2888 2
 
0.7%
02-475-0305 2
 
0.7%
Other values (225) 246
90.1%
2024-04-30T03:57:26.839704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 534
17.6%
2 444
14.7%
0 416
13.7%
4 396
13.1%
7 288
9.5%
8 217
7.2%
6 167
 
5.5%
1 154
 
5.1%
5 153
 
5.1%
3 132
 
4.4%
Other values (8) 125
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2484
82.1%
Dash Punctuation 534
 
17.6%
Other Letter 6
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 444
17.9%
0 416
16.7%
4 396
15.9%
7 288
11.6%
8 217
8.7%
6 167
 
6.7%
1 154
 
6.2%
5 153
 
6.2%
3 132
 
5.3%
9 117
 
4.7%
Other Letter
ValueCountFrequency (%)
정 2
33.3%
홍 1
16.7%
균 1
16.7%
재 1
16.7%
윤 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3020
99.8%
Hangul 6
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 534
17.7%
2 444
14.7%
0 416
13.8%
4 396
13.1%
7 288
9.5%
8 217
7.2%
6 167
 
5.5%
1 154
 
5.1%
5 153
 
5.1%
3 132
 
4.4%
Other values (3) 119
 
3.9%
Hangul
ValueCountFrequency (%)
정 2
33.3%
홍 1
16.7%
균 1
16.7%
재 1
16.7%
윤 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3020
99.8%
Hangul 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 534
17.7%
2 444
14.7%
0 416
13.8%
4 396
13.1%
7 288
9.5%
8 217
7.2%
6 167
 
5.5%
1 154
 
5.1%
5 153
 
5.1%
3 132
 
4.4%
Other values (3) 119
 
3.9%
Hangul
ValueCountFrequency (%)
정 2
33.3%
홍 1
16.7%
균 1
16.7%
재 1
16.7%
윤 1
16.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing753
Missing (%)100.0%
Memory size6.7 KiB

소재지우편번호
Text

MISSING 

Distinct93
Distinct (%)33.8%
Missing478
Missing (%)63.5%
Memory size6.0 KiB
2024-04-30T03:57:27.087116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0327273
Min length5

Characters and Unicode

Total characters1659
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

Unique41 ?
Unique (%)14.9%

Sample

1st row134021
2nd row134825
3rd row134814
4th row134861
5th row134-869
ValueCountFrequency (%)
134864 14
 
5.1%
134814 12
 
4.4%
134830 12
 
4.4%
134861 10
 
3.6%
134846 10
 
3.6%
134825 9
 
3.3%
134851 9
 
3.3%
134859 7
 
2.5%
134841 7
 
2.5%
134874 6
 
2.2%
Other values (83) 179
65.1%
2024-04-30T03:57:27.442527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 364
21.9%
4 354
21.3%
3 329
19.8%
8 242
14.6%
0 103
 
6.2%
6 67
 
4.0%
7 65
 
3.9%
5 56
 
3.4%
2 45
 
2.7%
9 21
 
1.3%
Other values (2) 13
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1646
99.2%
Dash Punctuation 11
 
0.7%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 364
22.1%
4 354
21.5%
3 329
20.0%
8 242
14.7%
0 103
 
6.3%
6 67
 
4.1%
7 65
 
3.9%
5 56
 
3.4%
2 45
 
2.7%
9 21
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1659
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 364
21.9%
4 354
21.3%
3 329
19.8%
8 242
14.6%
0 103
 
6.2%
6 67
 
4.0%
7 65
 
3.9%
5 56
 
3.4%
2 45
 
2.7%
9 21
 
1.3%
Other values (2) 13
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1659
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 364
21.9%
4 354
21.3%
3 329
19.8%
8 242
14.6%
0 103
 
6.2%
6 67
 
4.0%
7 65
 
3.9%
5 56
 
3.4%
2 45
 
2.7%
9 21
 
1.3%
Other values (2) 13
 
0.8%

지번주소
Text

MISSING 

Distinct565
Distinct (%)82.4%
Missing67
Missing (%)8.9%
Memory size6.0 KiB
2024-04-30T03:57:27.697332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length44
Mean length23.125364
Min length12

Characters and Unicode

Total characters15864
Distinct characters220
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

Unique466 ?
Unique (%)67.9%

Sample

1st row서울특별시 강동구 길동 455번지
2nd row서울특별시 강동구 천호동
3rd row서울특별시 강동구 명일동 46번지 1호
4th row서울특별시 강동구 길동 457번지 4호
5th row서울특별시 강동구 천호동 46번지 23호
ValueCountFrequency (%)
서울특별시 685
20.2%
강동구 684
20.1%
천호동 162
 
4.8%
성내동 155
 
4.6%
길동 101
 
3.0%
암사동 82
 
2.4%
명일동 48
 
1.4%
1호 38
 
1.1%
강일동 38
 
1.1%
둔촌동 37
 
1.1%
Other values (616) 1365
40.2%
2024-04-30T03:57:28.076392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2709
17.1%
동 1405
 
8.9%
강 754
 
4.8%
시 701
 
4.4%
서 688
 
4.3%
울 688
 
4.3%
특 685
 
4.3%
별 685
 
4.3%
구 685
 
4.3%
호 612
 
3.9%
Other values (210) 6252
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10091
63.6%
Decimal Number 2883
 
18.2%
Space Separator 2709
 
17.1%
Dash Punctuation 116
 
0.7%
Uppercase Letter 26
 
0.2%
Open Punctuation 17
 
0.1%
Close Punctuation 17
 
0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1405
13.9%
강 754
 
7.5%
시 701
 
6.9%
서 688
 
6.8%
울 688
 
6.8%
특 685
 
6.8%
별 685
 
6.8%
구 685
 
6.8%
호 612
 
6.1%
지 547
 
5.4%
Other values (179) 2641
26.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
23.1%
P 3
11.5%
R 3
11.5%
K 3
11.5%
I 3
11.5%
B 2
 
7.7%
T 1
 
3.8%
H 1
 
3.8%
E 1
 
3.8%
N 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 519
18.0%
4 459
15.9%
3 391
13.6%
2 307
10.6%
5 302
10.5%
7 211
7.3%
6 201
 
7.0%
0 190
 
6.6%
8 152
 
5.3%
9 151
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
t 1
33.3%
s 1
33.3%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
2709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10091
63.6%
Common 5744
36.2%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1405
13.9%
강 754
 
7.5%
시 701
 
6.9%
서 688
 
6.8%
울 688
 
6.8%
특 685
 
6.8%
별 685
 
6.8%
구 685
 
6.8%
호 612
 
6.1%
지 547
 
5.4%
Other values (179) 2641
26.2%
Common
ValueCountFrequency (%)
2709
47.2%
1 519
 
9.0%
4 459
 
8.0%
3 391
 
6.8%
2 307
 
5.3%
5 302
 
5.3%
7 211
 
3.7%
6 201
 
3.5%
0 190
 
3.3%
8 152
 
2.6%
Other values (6) 303
 
5.3%
Latin
ValueCountFrequency (%)
A 6
20.7%
P 3
10.3%
R 3
10.3%
K 3
10.3%
I 3
10.3%
B 2
 
6.9%
T 1
 
3.4%
H 1
 
3.4%
E 1
 
3.4%
N 1
 
3.4%
Other values (5) 5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10091
63.6%
ASCII 5773
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2709
46.9%
1 519
 
9.0%
4 459
 
8.0%
3 391
 
6.8%
2 307
 
5.3%
5 302
 
5.2%
7 211
 
3.7%
6 201
 
3.5%
0 190
 
3.3%
8 152
 
2.6%
Other values (21) 332
 
5.8%
Hangul
ValueCountFrequency (%)
동 1405
13.9%
강 754
 
7.5%
시 701
 
6.9%
서 688
 
6.8%
울 688
 
6.8%
특 685
 
6.8%
별 685
 
6.8%
구 685
 
6.8%
호 612
 
6.1%
지 547
 
5.4%
Other values (179) 2641
26.2%

도로명주소
Text

Distinct624
Distinct (%)83.1%
Missing2
Missing (%)0.3%
Memory size6.0 KiB
2024-04-30T03:57:28.311953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length51
Mean length30.88016
Min length21

Characters and Unicode

Total characters23191
Distinct characters250
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

Unique522 ?
Unique (%)69.5%

Sample

1st row서울특별시 강동구 천호대로 1123 (길동, 건영빌딩)
2nd row서울특별시 강동구 상암로 199 (명일동)
3rd row서울특별시 강동구 천호옛길 95 (성내동)
4th row서울특별시 강동구 상암로12길 32 (천호동)
5th row서울특별시 강동구 성내로6가길 38 (성내동)
ValueCountFrequency (%)
서울특별시 751
 
16.7%
강동구 750
 
16.6%
1층 251
 
5.6%
성내동 173
 
3.8%
천호동 164
 
3.6%
길동 106
 
2.4%
암사동 88
 
2.0%
명일동 58
 
1.3%
천호대로 45
 
1.0%
강일동 44
 
1.0%
Other values (680) 2080
46.1%
2024-04-30T03:57:28.666996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3760
 
16.2%
동 1623
 
7.0%
1 1170
 
5.0%
강 854
 
3.7%
구 817
 
3.5%
시 770
 
3.3%
( 767
 
3.3%
) 767
 
3.3%
서 755
 
3.3%
울 754
 
3.3%
Other values (240) 11154
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13452
58.0%
Decimal Number 3821
 
16.5%
Space Separator 3760
 
16.2%
Open Punctuation 767
 
3.3%
Close Punctuation 767
 
3.3%
Other Punctuation 550
 
2.4%
Dash Punctuation 41
 
0.2%
Uppercase Letter 30
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1623
 
12.1%
강 854
 
6.3%
구 817
 
6.1%
시 770
 
5.7%
서 755
 
5.6%
울 754
 
5.6%
별 752
 
5.6%
특 751
 
5.6%
로 732
 
5.4%
길 552
 
4.1%
Other values (208) 5092
37.9%
Uppercase Letter
ValueCountFrequency (%)
A 6
20.0%
K 4
13.3%
R 3
10.0%
M 3
10.0%
P 3
10.0%
I 3
10.0%
B 3
10.0%
C 1
 
3.3%
T 1
 
3.3%
H 1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 1170
30.6%
0 430
 
11.3%
2 389
 
10.2%
3 374
 
9.8%
4 276
 
7.2%
5 265
 
6.9%
7 239
 
6.3%
6 231
 
6.0%
9 230
 
6.0%
8 217
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 547
99.5%
. 2
 
0.4%
: 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
s 1
33.3%
t 1
33.3%
Space Separator
ValueCountFrequency (%)
3760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 767
100.0%
Close Punctuation
ValueCountFrequency (%)
) 767
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13452
58.0%
Common 9706
41.9%
Latin 33
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1623
 
12.1%
강 854
 
6.3%
구 817
 
6.1%
시 770
 
5.7%
서 755
 
5.6%
울 754
 
5.6%
별 752
 
5.6%
특 751
 
5.6%
로 732
 
5.4%
길 552
 
4.1%
Other values (208) 5092
37.9%
Common
ValueCountFrequency (%)
3760
38.7%
1 1170
 
12.1%
( 767
 
7.9%
) 767
 
7.9%
, 547
 
5.6%
0 430
 
4.4%
2 389
 
4.0%
3 374
 
3.9%
4 276
 
2.8%
5 265
 
2.7%
Other values (7) 961
 
9.9%
Latin
ValueCountFrequency (%)
A 6
18.2%
K 4
12.1%
R 3
9.1%
M 3
9.1%
P 3
9.1%
I 3
9.1%
B 3
9.1%
C 1
 
3.0%
T 1
 
3.0%
H 1
 
3.0%
Other values (5) 5
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13452
58.0%
ASCII 9739
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3760
38.6%
1 1170
 
12.0%
( 767
 
7.9%
) 767
 
7.9%
, 547
 
5.6%
0 430
 
4.4%
2 389
 
4.0%
3 374
 
3.8%
4 276
 
2.8%
5 265
 
2.7%
Other values (22) 994
 
10.2%
Hangul
ValueCountFrequency (%)
동 1623
 
12.1%
강 854
 
6.3%
구 817
 
6.1%
시 770
 
5.7%
서 755
 
5.6%
울 754
 
5.6%
별 752
 
5.6%
특 751
 
5.6%
로 732
 
5.4%
길 552
 
4.1%
Other values (208) 5092
37.9%

도로명우편번호
Text

Distinct220
Distinct (%)29.3%
Missing2
Missing (%)0.3%
Memory size6.0 KiB
2024-04-30T03:57:28.932859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1078562
Min length5

Characters and Unicode

Total characters3836
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

Unique63 ?
Unique (%)8.4%

Sample

1st row05355
2nd row05295
3rd row134840
4th row05318
5th row05400
ValueCountFrequency (%)
05269 14
 
1.9%
05354 13
 
1.7%
05353 13
 
1.7%
05408 11
 
1.5%
05328 11
 
1.5%
05248 11
 
1.5%
05381 10
 
1.3%
05378 10
 
1.3%
05351 10
 
1.3%
05303 10
 
1.3%
Other values (210) 638
85.0%
2024-04-30T03:57:29.354944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 846
22.1%
0 836
21.8%
3 570
14.9%
2 418
10.9%
4 303
 
7.9%
1 235
 
6.1%
8 223
 
5.8%
6 158
 
4.1%
7 126
 
3.3%
9 120
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3835
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 846
22.1%
0 836
21.8%
3 570
14.9%
2 418
10.9%
4 303
 
7.9%
1 235
 
6.1%
8 223
 
5.8%
6 158
 
4.1%
7 126
 
3.3%
9 120
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3836
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 846
22.1%
0 836
21.8%
3 570
14.9%
2 418
10.9%
4 303
 
7.9%
1 235
 
6.1%
8 223
 
5.8%
6 158
 
4.1%
7 126
 
3.3%
9 120
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 846
22.1%
0 836
21.8%
3 570
14.9%
2 418
10.9%
4 303
 
7.9%
1 235
 
6.1%
8 223
 
5.8%
6 158
 
4.1%
7 126
 
3.3%
9 120
 
3.1%

사업장명
Text

Distinct692
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T03:57:29.648675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.239044
Min length3

Characters and Unicode

Total characters8463
Distinct characters277
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

Unique641 ?
Unique (%)85.1%

Sample

1st row(주)코리아세븐 길동6호점
2nd row(주)코리아세븐 명일은혜점
3rd row씨유천호역점
4th row씨유 천호암사점
5th row씨유 강동성내로점
ValueCountFrequency (%)
gs25 111
 
8.0%
씨유 106
 
7.6%
지에스(gs)25 76
 
5.5%
주)코리아세븐 66
 
4.7%
세븐일레븐 62
 
4.4%
지에스25 42
 
3.0%
미니스톱 33
 
2.4%
씨유(cu 32
 
2.3%
cu 22
 
1.6%
이마트24 11
 
0.8%
Other values (555) 833
59.8%
2024-04-30T03:57:30.079061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 646
 
7.6%
641
 
7.6%
2 327
 
3.9%
5 319
 
3.8%
스 272
 
3.2%
동 263
 
3.1%
( 245
 
2.9%
) 245
 
2.9%
S 241
 
2.8%
G 235
 
2.8%
Other values (267) 5029
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5941
70.2%
Decimal Number 706
 
8.3%
Uppercase Letter 679
 
8.0%
Space Separator 641
 
7.6%
Open Punctuation 245
 
2.9%
Close Punctuation 245
 
2.9%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 646
 
10.9%
스 272
 
4.6%
동 263
 
4.4%
강 217
 
3.7%
일 215
 
3.6%
븐 202
 
3.4%
지 196
 
3.3%
에 173
 
2.9%
성 170
 
2.9%
유 169
 
2.8%
Other values (236) 3418
57.5%
Uppercase Letter
ValueCountFrequency (%)
S 241
35.5%
G 235
34.6%
U 91
 
13.4%
C 90
 
13.3%
K 7
 
1.0%
A 2
 
0.3%
I 2
 
0.3%
L 2
 
0.3%
P 2
 
0.3%
T 1
 
0.1%
Other values (6) 6
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 327
46.3%
5 319
45.2%
4 20
 
2.8%
1 16
 
2.3%
3 10
 
1.4%
6 10
 
1.4%
7 3
 
0.4%
9 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
s 3
50.0%
k 1
 
16.7%
e 1
 
16.7%
u 1
 
16.7%
Space Separator
ValueCountFrequency (%)
641
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5941
70.2%
Common 1837
 
21.7%
Latin 685
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 646
 
10.9%
스 272
 
4.6%
동 263
 
4.4%
강 217
 
3.7%
일 215
 
3.6%
븐 202
 
3.4%
지 196
 
3.3%
에 173
 
2.9%
성 170
 
2.9%
유 169
 
2.8%
Other values (236) 3418
57.5%
Latin
ValueCountFrequency (%)
S 241
35.2%
G 235
34.3%
U 91
 
13.3%
C 90
 
13.1%
K 7
 
1.0%
s 3
 
0.4%
A 2
 
0.3%
I 2
 
0.3%
L 2
 
0.3%
P 2
 
0.3%
Other values (10) 10
 
1.5%
Common
ValueCountFrequency (%)
641
34.9%
2 327
17.8%
5 319
17.4%
( 245
 
13.3%
) 245
 
13.3%
4 20
 
1.1%
1 16
 
0.9%
3 10
 
0.5%
6 10
 
0.5%
7 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5941
70.2%
ASCII 2522
29.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 646
 
10.9%
스 272
 
4.6%
동 263
 
4.4%
강 217
 
3.7%
일 215
 
3.6%
븐 202
 
3.4%
지 196
 
3.3%
에 173
 
2.9%
성 170
 
2.9%
유 169
 
2.8%
Other values (236) 3418
57.5%
ASCII
ValueCountFrequency (%)
641
25.4%
2 327
13.0%
5 319
12.6%
( 245
 
9.7%
) 245
 
9.7%
S 241
 
9.6%
G 235
 
9.3%
U 91
 
3.6%
C 90
 
3.6%
4 20
 
0.8%
Other values (21) 68
 
2.7%

최종수정일자
Date

UNIQUE 

Distinct753
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2014-03-31 13:57:11
Maximum2024-04-23 16:07:47
2024-04-30T03:57:30.216221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:30.334188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
I
449 
U
304 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 449
59.6%
U 304
40.4%

Length

2024-04-30T03:57:30.447826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:30.545062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 449
59.6%
u 304
40.4%

데이터갱신일자
Date

Distinct362
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T03:57:30.670871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:30.962179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing753
Missing (%)100.0%
Memory size6.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct440
Distinct (%)59.4%
Missing12
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean212289.75
Minimum204333.14
Maximum216029.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T03:57:31.075465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204333.14
5-th percentile210818.37
Q1211381.83
median211990.35
Q3212760.14
95-th percentile215278.71
Maximum216029.39
Range11696.25
Interquartile range (IQR)1378.3133

Descriptive statistics

Standard deviation1346.318
Coefficient of variation (CV)0.0063418889
Kurtosis2.051709
Mean212289.75
Median Absolute Deviation (MAD)670.48821
Skewness0.84290779
Sum1.573067 × 108
Variance1812572.2
MonotonicityNot monotonic
2024-04-30T03:57:31.203216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212485.186602827 6
 
0.8%
211161.286678064 6
 
0.8%
212440.285753723 6
 
0.8%
210931.41794176 5
 
0.7%
211203.682231648 5
 
0.7%
211770.879281522 5
 
0.7%
215784.2264 5
 
0.7%
211996.200294662 5
 
0.7%
210818.367448819 5
 
0.7%
210830.134427385 5
 
0.7%
Other values (430) 688
91.4%
(Missing) 12
 
1.6%
ValueCountFrequency (%)
204333.137878189 1
 
0.1%
210185.825916808 1
 
0.1%
210268.695726798 2
0.3%
210480.767564873 3
0.4%
210521.84184835 1
 
0.1%
210636.447352415 1
 
0.1%
210644.063727145 1
 
0.1%
210669.722533894 1
 
0.1%
210670.369892293 3
0.4%
210671.132768846 2
0.3%
ValueCountFrequency (%)
216029.388021 1
 
0.1%
215927.688523964 2
 
0.3%
215898.113091143 2
 
0.3%
215888.898816 2
 
0.3%
215875.024969 1
 
0.1%
215784.2264 5
0.7%
215728.497758 3
0.4%
215672.146934322 1
 
0.1%
215661.222623 3
0.4%
215659.154061 3
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct439
Distinct (%)59.2%
Missing12
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean448972.22
Minimum444788.05
Maximum452309.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T03:57:31.314837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444788.05
5-th percentile447245.29
Q1448068.17
median448830.95
Q3449821.12
95-th percentile451319.02
Maximum452309.71
Range7521.6612
Interquartile range (IQR)1752.9423

Descriptive statistics

Standard deviation1227.3608
Coefficient of variation (CV)0.0027337121
Kurtosis-0.06233852
Mean448972.22
Median Absolute Deviation (MAD)874.79713
Skewness0.44431277
Sum3.3268841 × 108
Variance1506414.5
MonotonicityNot monotonic
2024-04-30T03:57:31.442330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448448.530576361 6
 
0.8%
450203.741209731 6
 
0.8%
448775.751543649 6
 
0.8%
447299.759349525 5
 
0.7%
447387.325955188 5
 
0.7%
446810.814080816 5
 
0.7%
452130.329696 5
 
0.7%
448413.6296306 5
 
0.7%
448303.423508307 5
 
0.7%
448618.9907646 5
 
0.7%
Other values (429) 688
91.4%
(Missing) 12
 
1.6%
ValueCountFrequency (%)
444788.050526082 1
 
0.1%
446784.488188771 2
 
0.3%
446810.814080816 5
0.7%
446841.160845582 1
 
0.1%
446894.680049364 3
0.4%
446907.632018709 3
0.4%
446924.613699862 1
 
0.1%
446930.379410235 3
0.4%
446992.790071505 4
0.5%
447039.126728729 1
 
0.1%
ValueCountFrequency (%)
452309.711718 3
0.4%
452305.723682264 1
 
0.1%
452269.014454429 1
 
0.1%
452195.587817951 1
 
0.1%
452130.329696 5
0.7%
452107.257532 1
 
0.1%
452096.801259 1
 
0.1%
452076.939632 1
 
0.1%
452052.025388385 2
 
0.3%
452042.723062516 1
 
0.1%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)46.3%
Missing526
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean50.147753
Minimum0
Maximum165.29
Zeros40
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T03:57:31.565637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.8
median49.5
Q366.76
95-th percentile111.411
Maximum165.29
Range165.29
Interquartile range (IQR)35.96

Descriptive statistics

Standard deviation35.667727
Coefficient of variation (CV)0.71125273
Kurtosis0.3732232
Mean50.147753
Median Absolute Deviation (MAD)18.02
Skewness0.5542262
Sum11383.54
Variance1272.1867
MonotonicityNot monotonic
2024-04-30T03:57:31.676110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 40
 
5.3%
49.5 13
 
1.7%
50.0 10
 
1.3%
66.0 10
 
1.3%
33.0 8
 
1.1%
60.0 8
 
1.1%
39.6 7
 
0.9%
52.89 6
 
0.8%
90.0 4
 
0.5%
18.0 3
 
0.4%
Other values (95) 118
 
15.7%
(Missing) 526
69.9%
ValueCountFrequency (%)
0.0 40
5.3%
3.3 1
 
0.1%
6.6 1
 
0.1%
7.0 1
 
0.1%
11.0 1
 
0.1%
12.0 1
 
0.1%
18.0 3
 
0.4%
18.5 1
 
0.1%
21.0 1
 
0.1%
21.52 1
 
0.1%
ValueCountFrequency (%)
165.29 1
0.1%
155.24 2
0.3%
147.0 1
0.1%
146.0 1
0.1%
141.0 1
0.1%
124.6 1
0.1%
120.0 2
0.3%
119.0 1
0.1%
118.63 1
0.1%
112.5 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03240000PHMH32012324003308750000120121119<NA>1영업/정상13영업중<NA><NA><NA><NA>02-478-5873<NA><NA>서울특별시 강동구 길동 455번지서울특별시 강동구 천호대로 1123 (길동, 건영빌딩)05355(주)코리아세븐 길동6호점2016-07-15 15:31:30I2018-08-31 23:59:59.0<NA>211994.969737448095.346237<NA>
13240000PHMH32012324003308750000220121119<NA>3폐업3폐업20171129<NA><NA><NA>02-426-3370<NA><NA><NA>서울특별시 강동구 상암로 199 (명일동)05295(주)코리아세븐 명일은혜점2017-11-29 16:54:08I2018-08-31 23:59:59.0<NA>212715.774467449389.108273<NA>
23240000PHMH32012324003308750000320121119<NA>3폐업3폐업20140331<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호옛길 95 (성내동)134840씨유천호역점2014-03-31 13:57:11I2018-08-31 23:59:59.0<NA>211065.993268448339.745463<NA>
33240000PHMH32012324003308750000420121115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134021서울특별시 강동구 천호동서울특별시 강동구 상암로12길 32 (천호동)05318씨유 천호암사점2019-04-16 09:26:44U2019-04-18 02:40:00.0<NA>211223.739911449560.557535<NA>
43240000PHMH32012324003308750000720121108<NA>3폐업3폐업20171208<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내로6가길 38 (성내동)05400씨유 강동성내로점2017-12-08 14:27:55I2018-08-31 23:59:59.0<NA>210902.82473447232.385451<NA>
53240000PHMH32012324003308750000920121119<NA>3폐업3폐업20141020<NA><NA><NA><NA><NA>134825서울특별시 강동구 명일동 46번지 1호서울특별시 강동구 고덕로 256 (명일동)134825(주)바이더웨이 고덕역점2015-05-08 17:35:46I2018-08-31 23:59:59.0<NA>213545.481603450269.254821<NA>
63240000PHMH32012324003308750001120121113<NA>3폐업3폐업20141104<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강동대로53길 22 (성내동)134846씨유성내중앙점2014-11-04 17:26:14I2018-08-31 23:59:59.0<NA>211603.733912446841.160846<NA>
73240000PHMH32012324003308750001320121119<NA>3폐업3폐업20141204<NA><NA><NA><NA><NA>134814서울특별시 강동구 길동 457번지 4호서울특별시 강동구 천호대로 1131 (길동)134814(주)바이더웨이 길동사거리점2015-05-08 17:33:24I2018-08-31 23:59:59.0<NA>212060.935103448068.174635<NA>
83240000PHMH32012324003308750001420121126<NA>3폐업3폐업20141216<NA><NA><NA><NA><NA>134861서울특별시 강동구 천호동 46번지 23호서울특별시 강동구 양재대로125길 31 (천호동)134861GS25 천호명성점2015-05-08 17:55:09I2018-08-31 23:59:59.0<NA>212347.982239449143.259542<NA>
93240000PHMH32012324003308750001520121108<NA>3폐업3폐업20141222<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕로97길 20 (강일동)134740GS25 강일파크2014-12-22 17:51:53I2018-08-31 23:59:59.0<NA>216029.388021451319.018562<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
7433240000PHMH3202432400330875000082024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 668 강일리버파크2단지아파트서울특별시 강동구 아리수로97길 68, 101호 (강일동, 강일리버파크2단지아파트)05208지에스(GS)25 강일타운점2024-03-07 10:01:56I2023-12-03 00:09:00.0<NA>215502.593611451912.59509<NA>
7443240000PHMH3202432400330875000092024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 609 천호역 효성해링턴타워서울특별시 강동구 올림픽로 610, 1층 (성내동, 천호역 효성해링턴타워)05385지에스(GS)25 천호해링턴점2024-03-14 16:51:04I2023-12-02 23:06:00.0<NA><NA><NA><NA>
7453240000PHMH3202432400330875000102024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 313-4서울특별시 강동구 올림픽로88길 36, 1층 (천호동)05323지에스(GS)25 강동천일점2024-03-19 14:02:36I2023-12-02 22:01:00.0<NA>211266.755126449326.631398<NA>
7463240000PHMH3202432400330875000112024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 157 반석서울특별시 강동구 천호대로199길 83, 반석 1층 (길동)05345지에스(GS)25 길동자이스타점2024-03-21 15:16:02I2023-12-02 22:03:00.0<NA>213012.252484448675.931119<NA>
7473240000PHMH3202432400330875000122024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 231-32서울특별시 강동구 상암로27나길 4, 1층 (천호동)05309지에스(GS)25 천호해리점2024-03-28 13:29:15I2023-12-02 21:00:00.0<NA>212101.356554449490.975146<NA>
7483240000PHMH3202432400330875000132024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 543 화양빌딩서울특별시 강동구 성내로13길 14, 1층 102호 (성내동, 화양빌딩)05396지에스(GS)25 강동성일점2024-04-01 15:43:02I2023-12-04 00:03:00.0<NA>211203.682232447387.325955<NA>
7493240000PHMH3202432400330875000142024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 6-2 중앙보훈병원서울특별시 강동구 진황도로61길 53, 중앙보훈병원 (둔촌동)05368보훈병원상조회2024-04-11 10:00:48I2023-12-03 23:03:00.0<NA>212987.201085447504.948775<NA>
7503240000PHMH3202432400330875000152024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 276-2서울특별시 강동구 풍성로 135, 1층 (성내동)05388지에스(GS)25 성내삼성점2024-04-17 11:23:31I2023-12-03 23:09:00.0<NA>211175.679976447710.722889<NA>
7513240000PHMH3202432400330875000162024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 630 둔촌푸르지오아파트서울특별시 강동구 명일로 176, 둔촌푸르지오아파트 푸르지오상가 102,103호 (둔촌동)05360지에스(GS)25 둔촌푸르지오점2024-04-17 16:52:30I2023-12-03 23:09:00.0<NA>212880.468341447998.456215<NA>
7523240000PHMH3202432400330875000172024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 502-6 암사동대림빌딩서울특별시 강동구 상암로 29, 암사동대림빌딩 1층 102호 (암사동)05241지에스(GS)25 암사역점2024-04-23 16:07:47I2023-12-03 22:05:00.0<NA>211150.147529449821.116972<NA>