Overview

Dataset statistics

Number of variables26
Number of observations917
Missing cells7948
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory198.0 KiB
Average record size in memory221.1 B

Variable types

Categorical6
Text6
DateTime4
Unsupported6
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),판매점영업면적
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16309/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 917 (100.0%) missing valuesMissing
폐업일자 has 437 (47.7%) missing valuesMissing
휴업시작일자 has 917 (100.0%) missing valuesMissing
휴업종료일자 has 917 (100.0%) missing valuesMissing
재개업일자 has 917 (100.0%) missing valuesMissing
전화번호 has 563 (61.4%) missing valuesMissing
소재지면적 has 917 (100.0%) missing valuesMissing
소재지우편번호 has 606 (66.1%) missing valuesMissing
지번주소 has 28 (3.1%) missing valuesMissing
업태구분명 has 917 (100.0%) missing valuesMissing
좌표정보(X) has 23 (2.5%) missing valuesMissing
좌표정보(Y) has 23 (2.5%) missing valuesMissing
판매점영업면적 has 766 (83.5%) 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 41 (4.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:01:28.395667
Analysis finished2024-05-11 06:01:30.139359
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
3230000
917 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 917
100.0%

Length

2024-05-11T06:01:30.350197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:30.784007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 917
100.0%

관리번호
Text

UNIQUE 

Distinct917
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-05-11T06:01:31.436286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters22925
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

Unique917 ?
Unique (%)100.0%

Sample

1st rowPHMH320123230034087500001
2nd rowPHMH320123230034087500002
3rd rowPHMH320123230034087500003
4th rowPHMH320123230034087500004
5th rowPHMH320123230034087500005
ValueCountFrequency (%)
phmh320123230034087500001 1
 
0.1%
phmh320183230034087500001 1
 
0.1%
phmh320183230034087500031 1
 
0.1%
phmh320183230034087500032 1
 
0.1%
phmh320183230034087500033 1
 
0.1%
phmh320183230034087500034 1
 
0.1%
phmh320183230034087500035 1
 
0.1%
phmh320183230034087500036 1
 
0.1%
phmh320183230034087500037 1
 
0.1%
phmh320183230034087500038 1
 
0.1%
Other values (907) 907
98.9%
2024-05-11T06:01:32.746817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6600
28.8%
3 3996
17.4%
2 2545
 
11.1%
H 1834
 
8.0%
4 1195
 
5.2%
5 1188
 
5.2%
7 1147
 
5.0%
8 1112
 
4.9%
1 1073
 
4.7%
P 917
 
4.0%
Other values (3) 1318
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19257
84.0%
Uppercase Letter 3668
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6600
34.3%
3 3996
20.8%
2 2545
 
13.2%
4 1195
 
6.2%
5 1188
 
6.2%
7 1147
 
6.0%
8 1112
 
5.8%
1 1073
 
5.6%
6 247
 
1.3%
9 154
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1834
50.0%
P 917
25.0%
M 917
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19257
84.0%
Latin 3668
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6600
34.3%
3 3996
20.8%
2 2545
 
13.2%
4 1195
 
6.2%
5 1188
 
6.2%
7 1147
 
6.0%
8 1112
 
5.8%
1 1073
 
5.6%
6 247
 
1.3%
9 154
 
0.8%
Latin
ValueCountFrequency (%)
H 1834
50.0%
P 917
25.0%
M 917
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6600
28.8%
3 3996
17.4%
2 2545
 
11.1%
H 1834
 
8.0%
4 1195
 
5.2%
5 1188
 
5.2%
7 1147
 
5.0%
8 1112
 
4.9%
1 1073
 
4.7%
P 917
 
4.0%
Other values (3) 1318
 
5.7%

인허가일자
Date

Distinct618
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2012-11-01 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T06:01:33.172848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:01:33.667315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
3
477 
1
437 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 477
52.0%
1 437
47.7%
4 3
 
0.3%

Length

2024-05-11T06:01:34.082825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:34.396378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 477
52.0%
1 437
47.7%
4 3
 
0.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
폐업
477 
영업/정상
437 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.4689204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 477
52.0%
영업/정상 437
47.7%
취소/말소/만료/정지/중지 3
 
0.3%

Length

2024-05-11T06:01:34.753275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:35.086807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 477
52.0%
영업/정상 437
47.7%
취소/말소/만료/정지/중지 3
 
0.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
3
477 
13
437 
24
 
3

Length

Max length2
Median length1
Mean length1.4798255
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 477
52.0%
13 437
47.7%
24 3
 
0.3%

Length

2024-05-11T06:01:35.523324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:35.866182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 477
52.0%
13 437
47.7%
24 3
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
폐업
477 
영업중
437 
직권폐업
 
3

Length

Max length4
Median length2
Mean length2.4830971
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 477
52.0%
영업중 437
47.7%
직권폐업 3
 
0.3%

Length

2024-05-11T06:01:36.248532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:36.588587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 477
52.0%
영업중 437
47.7%
직권폐업 3
 
0.3%

폐업일자
Date

MISSING 

Distinct406
Distinct (%)84.6%
Missing437
Missing (%)47.7%
Memory size7.3 KiB
Minimum2012-11-27 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T06:01:36.950377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:01:37.408786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

전화번호
Text

MISSING 

Distinct334
Distinct (%)94.4%
Missing563
Missing (%)61.4%
Memory size7.3 KiB
2024-05-11T06:01:38.169381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.9180791
Min length7

Characters and Unicode

Total characters3157
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

Unique314 ?
Unique (%)88.7%

Sample

1st row420-7931
2nd row425-3534
3rd row431-8361
4th row070-8874-5634
5th row424-3867
ValueCountFrequency (%)
2143-1177 2
 
0.6%
02-424-8808 2
 
0.6%
412-1936 2
 
0.6%
2043-7061 2
 
0.6%
404-5201 2
 
0.6%
070-8888-5919 2
 
0.6%
421-0181 2
 
0.6%
402-9211 2
 
0.6%
448-3365 2
 
0.6%
431-0788 2
 
0.6%
Other values (324) 334
94.4%
2024-05-11T06:01:39.427352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 489
15.5%
- 434
13.7%
2 395
12.5%
0 384
12.2%
1 328
10.4%
3 226
7.2%
8 216
6.8%
7 209
6.6%
5 187
 
5.9%
6 164
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2723
86.3%
Dash Punctuation 434
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 489
18.0%
2 395
14.5%
0 384
14.1%
1 328
12.0%
3 226
8.3%
8 216
7.9%
7 209
7.7%
5 187
 
6.9%
6 164
 
6.0%
9 125
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 489
15.5%
- 434
13.7%
2 395
12.5%
0 384
12.2%
1 328
10.4%
3 226
7.2%
8 216
6.8%
7 209
6.6%
5 187
 
5.9%
6 164
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 489
15.5%
- 434
13.7%
2 395
12.5%
0 384
12.2%
1 328
10.4%
3 226
7.2%
8 216
6.8%
7 209
6.6%
5 187
 
5.9%
6 164
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

소재지우편번호
Text

MISSING 

Distinct106
Distinct (%)34.1%
Missing606
Missing (%)66.1%
Memory size7.3 KiB
2024-05-11T06:01:40.199561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0482315
Min length6

Characters and Unicode

Total characters1881
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

Unique46 ?
Unique (%)14.8%

Sample

1st row138862
2nd row138861
3rd row138815
4th row138806
5th row138051
ValueCountFrequency (%)
138222 13
 
4.2%
138842 13
 
4.2%
138889 12
 
3.9%
138130 12
 
3.9%
138701 10
 
3.2%
138180 10
 
3.2%
138171 10
 
3.2%
138771 8
 
2.6%
138051 8
 
2.6%
138827 6
 
1.9%
Other values (96) 209
67.2%
2024-05-11T06:01:41.322045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 509
27.1%
1 465
24.7%
3 369
19.6%
2 112
 
6.0%
7 106
 
5.6%
0 105
 
5.6%
9 60
 
3.2%
4 57
 
3.0%
5 43
 
2.3%
6 40
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1866
99.2%
Dash Punctuation 15
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 509
27.3%
1 465
24.9%
3 369
19.8%
2 112
 
6.0%
7 106
 
5.7%
0 105
 
5.6%
9 60
 
3.2%
4 57
 
3.1%
5 43
 
2.3%
6 40
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 509
27.1%
1 465
24.7%
3 369
19.6%
2 112
 
6.0%
7 106
 
5.6%
0 105
 
5.6%
9 60
 
3.2%
4 57
 
3.0%
5 43
 
2.3%
6 40
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 509
27.1%
1 465
24.7%
3 369
19.6%
2 112
 
6.0%
7 106
 
5.6%
0 105
 
5.6%
9 60
 
3.2%
4 57
 
3.0%
5 43
 
2.3%
6 40
 
2.1%

지번주소
Text

MISSING 

Distinct744
Distinct (%)83.7%
Missing28
Missing (%)3.1%
Memory size7.3 KiB
2024-05-11T06:01:42.048857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length23.908886
Min length15

Characters and Unicode

Total characters21255
Distinct characters275
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique635 ?
Unique (%)71.4%

Sample

1st row서울특별시 송파구 잠실동 204번지 10호
2nd row서울특별시 송파구 잠실동 175번지 12호 102호
3rd row서울특별시 송파구 거여동 235번지
4th row서울특별시 송파구 가락동 119번지 9호
5th row서울특별시 송파구 방이동 40번지 3호
ValueCountFrequency (%)
서울특별시 889
19.3%
송파구 889
19.3%
방이동 126
 
2.7%
문정동 115
 
2.5%
가락동 109
 
2.4%
잠실동 102
 
2.2%
석촌동 76
 
1.6%
송파동 66
 
1.4%
1층 64
 
1.4%
1호 55
 
1.2%
Other values (752) 2118
46.0%
2024-05-11T06:01:43.519397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3720
17.5%
파 1055
 
5.0%
송 993
 
4.7%
1 948
 
4.5%
동 929
 
4.4%
시 905
 
4.3%
서 894
 
4.2%
구 894
 
4.2%
울 894
 
4.2%
별 890
 
4.2%
Other values (265) 9133
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13695
64.4%
Space Separator 3720
 
17.5%
Decimal Number 3652
 
17.2%
Dash Punctuation 124
 
0.6%
Uppercase Letter 37
 
0.2%
Other Punctuation 14
 
0.1%
Math Symbol 7
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1055
 
7.7%
송 993
 
7.3%
동 929
 
6.8%
시 905
 
6.6%
서 894
 
6.5%
구 894
 
6.5%
울 894
 
6.5%
별 890
 
6.5%
특 889
 
6.5%
지 790
 
5.8%
Other values (231) 4562
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
21.6%
J 5
13.5%
B 4
10.8%
E 3
 
8.1%
I 2
 
5.4%
D 2
 
5.4%
T 2
 
5.4%
O 2
 
5.4%
W 2
 
5.4%
R 2
 
5.4%
Other values (5) 5
13.5%
Decimal Number
ValueCountFrequency (%)
1 948
26.0%
2 476
13.0%
4 305
 
8.4%
0 303
 
8.3%
3 299
 
8.2%
8 290
 
7.9%
9 266
 
7.3%
5 265
 
7.3%
6 264
 
7.2%
7 236
 
6.5%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
3720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13695
64.4%
Common 7520
35.4%
Latin 40
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1055
 
7.7%
송 993
 
7.3%
동 929
 
6.8%
시 905
 
6.6%
서 894
 
6.5%
구 894
 
6.5%
울 894
 
6.5%
별 890
 
6.5%
특 889
 
6.5%
지 790
 
5.8%
Other values (231) 4562
33.3%
Latin
ValueCountFrequency (%)
A 8
20.0%
J 5
12.5%
B 4
10.0%
E 3
 
7.5%
I 2
 
5.0%
D 2
 
5.0%
T 2
 
5.0%
O 2
 
5.0%
W 2
 
5.0%
R 2
 
5.0%
Other values (8) 8
20.0%
Common
ValueCountFrequency (%)
3720
49.5%
1 948
 
12.6%
2 476
 
6.3%
4 305
 
4.1%
0 303
 
4.0%
3 299
 
4.0%
8 290
 
3.9%
9 266
 
3.5%
5 265
 
3.5%
6 264
 
3.5%
Other values (6) 384
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13695
64.4%
ASCII 7558
35.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3720
49.2%
1 948
 
12.5%
2 476
 
6.3%
4 305
 
4.0%
0 303
 
4.0%
3 299
 
4.0%
8 290
 
3.8%
9 266
 
3.5%
5 265
 
3.5%
6 264
 
3.5%
Other values (22) 422
 
5.6%
Hangul
ValueCountFrequency (%)
파 1055
 
7.7%
송 993
 
7.3%
동 929
 
6.8%
시 905
 
6.6%
서 894
 
6.5%
구 894
 
6.5%
울 894
 
6.5%
별 890
 
6.5%
특 889
 
6.5%
지 790
 
5.8%
Other values (231) 4562
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

도로명주소
Text

Distinct788
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-05-11T06:01:44.418674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length32.942203
Min length22

Characters and Unicode

Total characters30208
Distinct characters303
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique685 ?
Unique (%)74.7%

Sample

1st row서울특별시 송파구 올림픽로12길 22 (잠실동)
2nd row서울특별시 송파구 올림픽로 88, 102호 (잠실동)
3rd row서울특별시 송파구 거마로8길 25 (거여동)
4th row서울특별시 송파구 중대로10길 37-25, 1층 (가락동)
5th row서울특별시 송파구 올림픽로 374 (방이동)
ValueCountFrequency (%)
서울특별시 917
 
15.4%
송파구 917
 
15.4%
1층 476
 
8.0%
방이동 128
 
2.2%
문정동 119
 
2.0%
가락동 111
 
1.9%
잠실동 104
 
1.7%
석촌동 80
 
1.3%
101호 69
 
1.2%
송파동 66
 
1.1%
Other values (873) 2963
49.8%
2024-05-11T06:01:46.017962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5034
 
16.7%
1 1729
 
5.7%
파 1190
 
3.9%
송 1154
 
3.8%
동 1074
 
3.6%
, 957
 
3.2%
시 943
 
3.1%
서 925
 
3.1%
구 923
 
3.1%
울 921
 
3.0%
Other values (293) 15358
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17344
57.4%
Space Separator 5034
 
16.7%
Decimal Number 4882
 
16.2%
Other Punctuation 958
 
3.2%
Close Punctuation 919
 
3.0%
Open Punctuation 918
 
3.0%
Dash Punctuation 78
 
0.3%
Uppercase Letter 64
 
0.2%
Math Symbol 8
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1190
 
6.9%
송 1154
 
6.7%
동 1074
 
6.2%
시 943
 
5.4%
서 925
 
5.3%
구 923
 
5.3%
울 921
 
5.3%
로 917
 
5.3%
별 917
 
5.3%
특 917
 
5.3%
Other values (256) 7463
43.0%
Uppercase Letter
ValueCountFrequency (%)
B 15
23.4%
A 14
21.9%
J 6
 
9.4%
E 5
 
7.8%
D 3
 
4.7%
S 3
 
4.7%
C 2
 
3.1%
H 2
 
3.1%
I 2
 
3.1%
T 2
 
3.1%
Other values (7) 10
15.6%
Decimal Number
ValueCountFrequency (%)
1 1729
35.4%
2 656
 
13.4%
0 521
 
10.7%
3 460
 
9.4%
4 422
 
8.6%
5 273
 
5.6%
6 252
 
5.2%
8 215
 
4.4%
7 180
 
3.7%
9 174
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 957
99.9%
. 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
5034
100.0%
Close Punctuation
ValueCountFrequency (%)
) 919
100.0%
Open Punctuation
ValueCountFrequency (%)
( 918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17344
57.4%
Common 12797
42.4%
Latin 67
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1190
 
6.9%
송 1154
 
6.7%
동 1074
 
6.2%
시 943
 
5.4%
서 925
 
5.3%
구 923
 
5.3%
울 921
 
5.3%
로 917
 
5.3%
별 917
 
5.3%
특 917
 
5.3%
Other values (256) 7463
43.0%
Latin
ValueCountFrequency (%)
B 15
22.4%
A 14
20.9%
J 6
 
9.0%
E 5
 
7.5%
D 3
 
4.5%
S 3
 
4.5%
C 2
 
3.0%
H 2
 
3.0%
I 2
 
3.0%
T 2
 
3.0%
Other values (10) 13
19.4%
Common
ValueCountFrequency (%)
5034
39.3%
1 1729
 
13.5%
, 957
 
7.5%
) 919
 
7.2%
( 918
 
7.2%
2 656
 
5.1%
0 521
 
4.1%
3 460
 
3.6%
4 422
 
3.3%
5 273
 
2.1%
Other values (7) 908
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17344
57.4%
ASCII 12862
42.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5034
39.1%
1 1729
 
13.4%
, 957
 
7.4%
) 919
 
7.1%
( 918
 
7.1%
2 656
 
5.1%
0 521
 
4.1%
3 460
 
3.6%
4 422
 
3.3%
5 273
 
2.1%
Other values (25) 973
 
7.6%
Hangul
ValueCountFrequency (%)
파 1190
 
6.9%
송 1154
 
6.7%
동 1074
 
6.2%
시 943
 
5.4%
서 925
 
5.3%
구 923
 
5.3%
울 921
 
5.3%
로 917
 
5.3%
별 917
 
5.3%
특 917
 
5.3%
Other values (256) 7463
43.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

도로명우편번호
Real number (ℝ)

Distinct306
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15250.044
Minimum5500
Maximum138962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T06:01:46.709275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5500
5-th percentile5527
Q15601
median5692
Q35804
95-th percentile138317.8
Maximum138962
Range133462
Interquartile range (IQR)203

Descriptive statistics

Standard deviation34376.531
Coefficient of variation (CV)2.2541923
Kurtosis9.0272929
Mean15250.044
Median Absolute Deviation (MAD)106
Skewness3.3177379
Sum13984290
Variance1.1817459 × 109
MonotonicityNot monotonic
2024-05-11T06:01:47.172593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5556 15
 
1.6%
5855 14
 
1.5%
5837 13
 
1.4%
5848 11
 
1.2%
5510 10
 
1.1%
5719 9
 
1.0%
5841 9
 
1.0%
5548 9
 
1.0%
5698 9
 
1.0%
5545 8
 
0.9%
Other values (296) 810
88.3%
ValueCountFrequency (%)
5500 3
 
0.3%
5501 2
 
0.2%
5502 1
 
0.1%
5503 1
 
0.1%
5504 3
 
0.3%
5505 1
 
0.1%
5507 5
0.5%
5508 1
 
0.1%
5509 1
 
0.1%
5510 10
1.1%
ValueCountFrequency (%)
138962 1
 
0.1%
138960 1
 
0.1%
138934 1
 
0.1%
138924 1
 
0.1%
138915 3
0.3%
138889 2
0.2%
138888 1
 
0.1%
138874 1
 
0.1%
138873 1
 
0.1%
138862 1
 
0.1%

사업장명
Text

Distinct846
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-05-11T06:01:47.960600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.581243
Min length2

Characters and Unicode

Total characters9703
Distinct characters295
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

Unique783 ?
Unique (%)85.4%

Sample

1st row지에스25잠실제일점
2nd row씨유신천대로점
3rd rowGS25거여스타
4th row씨유가락코리아점
5th row씨유방이인텍점
ValueCountFrequency (%)
씨유 88
 
6.3%
gs25 86
 
6.1%
주)코리아세븐 72
 
5.1%
세븐일레븐 53
 
3.8%
지에스25 28
 
2.0%
cu 25
 
1.8%
미니스톱 23
 
1.6%
지에스(gs)25 20
 
1.4%
이마트24 18
 
1.3%
지에스25(gs25 9
 
0.6%
Other values (790) 977
69.8%
2024-05-11T06:01:49.306931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 820
 
8.5%
486
 
5.0%
2 367
 
3.8%
5 328
 
3.4%
븐 292
 
3.0%
스 266
 
2.7%
G 237
 
2.4%
S 237
 
2.4%
씨 227
 
2.3%
파 226
 
2.3%
Other values (285) 6217
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7358
75.8%
Decimal Number 783
 
8.1%
Uppercase Letter 624
 
6.4%
Space Separator 486
 
5.0%
Close Punctuation 222
 
2.3%
Open Punctuation 222
 
2.3%
Lowercase Letter 7
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 820
 
11.1%
븐 292
 
4.0%
스 266
 
3.6%
씨 227
 
3.1%
파 226
 
3.1%
유 224
 
3.0%
세 216
 
2.9%
리 198
 
2.7%
송 188
 
2.6%
이 179
 
2.4%
Other values (257) 4522
61.5%
Uppercase Letter
ValueCountFrequency (%)
G 237
38.0%
S 237
38.0%
C 64
 
10.3%
U 61
 
9.8%
R 8
 
1.3%
J 6
 
1.0%
M 4
 
0.6%
B 3
 
0.5%
H 2
 
0.3%
A 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 367
46.9%
5 328
41.9%
4 27
 
3.4%
1 24
 
3.1%
3 23
 
2.9%
6 11
 
1.4%
7 3
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
p 2
28.6%
a 1
14.3%
y 1
14.3%
i 1
14.3%
m 1
14.3%
e 1
14.3%
Space Separator
ValueCountFrequency (%)
486
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7358
75.8%
Common 1714
 
17.7%
Latin 631
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 820
 
11.1%
븐 292
 
4.0%
스 266
 
3.6%
씨 227
 
3.1%
파 226
 
3.1%
유 224
 
3.0%
세 216
 
2.9%
리 198
 
2.7%
송 188
 
2.6%
이 179
 
2.4%
Other values (257) 4522
61.5%
Latin
ValueCountFrequency (%)
G 237
37.6%
S 237
37.6%
C 64
 
10.1%
U 61
 
9.7%
R 8
 
1.3%
J 6
 
1.0%
M 4
 
0.6%
B 3
 
0.5%
p 2
 
0.3%
H 2
 
0.3%
Other values (7) 7
 
1.1%
Common
ValueCountFrequency (%)
486
28.4%
2 367
21.4%
5 328
19.1%
) 222
13.0%
( 222
13.0%
4 27
 
1.6%
1 24
 
1.4%
3 23
 
1.3%
6 11
 
0.6%
7 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7358
75.8%
ASCII 2345
 
24.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 820
 
11.1%
븐 292
 
4.0%
스 266
 
3.6%
씨 227
 
3.1%
파 226
 
3.1%
유 224
 
3.0%
세 216
 
2.9%
리 198
 
2.7%
송 188
 
2.6%
이 179
 
2.4%
Other values (257) 4522
61.5%
ASCII
ValueCountFrequency (%)
486
20.7%
2 367
15.7%
5 328
14.0%
G 237
10.1%
S 237
10.1%
) 222
9.5%
( 222
9.5%
C 64
 
2.7%
U 61
 
2.6%
4 27
 
1.2%
Other values (18) 94
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct917
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2014-02-05 10:15:52
Maximum2024-05-08 14:49:47
2024-05-11T06:01:49.757415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:01:50.271996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
I
562 
U
354 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 562
61.3%
U 354
38.6%
D 1
 
0.1%

Length

2024-05-11T06:01:50.807743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:51.169639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 562
61.3%
u 354
38.6%
d 1
 
0.1%

데이터갱신일자
Date

Distinct421
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T06:01:51.643327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:01:52.338973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)59.7%
Missing23
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean210272.05
Minimum206397.35
Maximum213977.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T06:01:52.863300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206397.35
5-th percentile207266.42
Q1209234.42
median210348.45
Q3211220.52
95-th percentile213108.96
Maximum213977.36
Range7580.008
Interquartile range (IQR)1986.0991

Descriptive statistics

Standard deviation1683.0369
Coefficient of variation (CV)0.0080040921
Kurtosis-0.51427816
Mean210272.05
Median Absolute Deviation (MAD)999.70177
Skewness-0.081973462
Sum1.8798322 × 108
Variance2832613.2
MonotonicityNot monotonic
2024-05-11T06:01:53.541998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210868.397496689 13
 
1.4%
210045.748264305 7
 
0.8%
209394.231297346 6
 
0.7%
206916.75835 6
 
0.7%
213374.482750903 6
 
0.7%
210231.822848068 6
 
0.7%
211986.297245596 5
 
0.5%
210654.50616628 5
 
0.5%
210331.122175932 5
 
0.5%
208645.765095988 5
 
0.5%
Other values (524) 830
90.5%
(Missing) 23
 
2.5%
ValueCountFrequency (%)
206397.34797252 1
 
0.1%
206877.588291045 2
 
0.2%
206894.444564829 1
 
0.1%
206916.75835 6
0.7%
206919.478094926 1
 
0.1%
206922.373680819 1
 
0.1%
206941.757489986 4
0.4%
206943.862539331 1
 
0.1%
206973.101763383 3
0.3%
207006.591695429 1
 
0.1%
ValueCountFrequency (%)
213977.355937651 2
0.2%
213885.153488894 1
 
0.1%
213859.070843691 1
 
0.1%
213836.818937676 1
 
0.1%
213776.647639543 1
 
0.1%
213709.706666667 3
0.3%
213628.347213655 1
 
0.1%
213583.606265151 2
0.2%
213513.98559132 2
0.2%
213493.760461226 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct533
Distinct (%)59.6%
Missing23
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean444451.03
Minimum441412
Maximum448553.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T06:01:54.065180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441412
5-th percentile442053.23
Q1443579.48
median444528.74
Q3445311.78
95-th percentile446496.02
Maximum448553.64
Range7141.6368
Interquartile range (IQR)1732.2914

Descriptive statistics

Standard deviation1381.132
Coefficient of variation (CV)0.003107501
Kurtosis0.35650122
Mean444451.03
Median Absolute Deviation (MAD)860.81766
Skewness0.20817848
Sum3.9733922 × 108
Variance1907525.7
MonotonicityNot monotonic
2024-05-11T06:01:54.593758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442053.227933005 13
 
1.4%
442930.687284628 7
 
0.8%
443951.236927017 6
 
0.7%
445485.4447736 6
 
0.7%
444245.235268426 6
 
0.7%
447358.523151468 6
 
0.7%
446156.529775445 5
 
0.5%
442070.575741668 5
 
0.5%
444862.51819616 5
 
0.5%
444684.520524453 5
 
0.5%
Other values (523) 830
90.5%
(Missing) 23
 
2.5%
ValueCountFrequency (%)
441412.0 1
 
0.1%
441426.0 2
0.2%
441446.0 2
0.2%
441548.0 3
0.3%
441586.029967716 1
 
0.1%
441602.0 1
 
0.1%
441632.0 3
0.3%
441703.846676865 2
0.2%
441725.293491662 1
 
0.1%
441892.362032579 2
0.2%
ValueCountFrequency (%)
448553.63680263 2
0.2%
448437.083161462 1
 
0.1%
448407.016805195 1
 
0.1%
448338.369323237 1
 
0.1%
448299.085960221 2
0.2%
448283.48049141 2
0.2%
448186.93709207 1
 
0.1%
448113.549072128 1
 
0.1%
448033.615672631 4
0.4%
448027.475604194 4
0.4%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)58.3%
Missing766
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean47.253642
Minimum0
Maximum182
Zeros41
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T06:01:55.104414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49
Q373.98
95-th percentile113.34
Maximum182
Range182
Interquartile range (IQR)73.98

Descriptive statistics

Standard deviation39.497383
Coefficient of variation (CV)0.83585902
Kurtosis0.22125537
Mean47.253642
Median Absolute Deviation (MAD)31
Skewness0.56784242
Sum7135.3
Variance1560.0433
MonotonicityNot monotonic
2024-05-11T06:01:55.740328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
4.5%
49.0 4
 
0.4%
36.0 3
 
0.3%
3.3 3
 
0.3%
76.0 3
 
0.3%
59.0 3
 
0.3%
82.0 3
 
0.3%
33.0 3
 
0.3%
50.0 2
 
0.2%
83.0 2
 
0.2%
Other values (78) 84
 
9.2%
(Missing) 766
83.5%
ValueCountFrequency (%)
0.0 41
4.5%
3.3 3
 
0.3%
6.6 1
 
0.1%
21.45 1
 
0.1%
22.91 1
 
0.1%
27.0 1
 
0.1%
29.7 1
 
0.1%
29.75 1
 
0.1%
29.92 1
 
0.1%
32.27 1
 
0.1%
ValueCountFrequency (%)
182.0 1
0.1%
170.38 1
0.1%
139.0 1
0.1%
133.0 1
0.1%
132.23 1
0.1%
123.39 1
0.1%
118.0 1
0.1%
116.68 1
0.1%
110.0 1
0.1%
107.2 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03230000PHMH32012323003408750000120121101<NA>3폐업3폐업20200827<NA><NA><NA>420-7931<NA>138862서울특별시 송파구 잠실동 204번지 10호서울특별시 송파구 올림픽로12길 22 (잠실동)5563지에스25잠실제일점2020-08-27 14:12:25U2020-08-29 02:40:00.0<NA>207274.22825445273.319882<NA>
13230000PHMH32012323003408750000220121102<NA>3폐업3폐업20190531<NA><NA><NA>425-3534<NA>138861서울특별시 송파구 잠실동 175번지 12호 102호서울특별시 송파구 올림픽로 88, 102호 (잠실동)5556씨유신천대로점2019-05-31 14:54:12U2019-06-02 02:40:00.0<NA>207048.638189445470.105611<NA>
23230000PHMH32012323003408750000320121102<NA>3폐업3폐업20161230<NA><NA><NA>431-8361<NA>138815서울특별시 송파구 거여동 235번지서울특별시 송파구 거마로8길 25 (거여동)5768GS25거여스타2016-12-30 15:44:42I2018-08-31 23:59:59.0<NA>212981.012011443486.577401<NA>
33230000PHMH32012323003408750000420121102<NA>3폐업3폐업20150904<NA><NA><NA>070-8874-5634<NA>138806서울특별시 송파구 가락동 119번지 9호서울특별시 송파구 중대로10길 37-25, 1층 (가락동)5832씨유가락코리아점2015-09-04 14:43:58I2018-08-31 23:59:59.0<NA>210993.971688443274.413784<NA>
43230000PHMH32012323003408750000520121102<NA>1영업/정상13영업중<NA><NA><NA><NA>424-3867<NA>138051서울특별시 송파구 방이동 40번지 3호서울특별시 송파구 올림픽로 374 (방이동)5544씨유방이인텍점2019-01-21 13:50:02U2019-01-23 02:40:00.0<NA>209815.726365446077.944173<NA>
53230000PHMH32012323003408750000620121102<NA>3폐업3폐업20160407<NA><NA><NA>424-6386<NA>138190서울특별시 송파구 석촌동 1번지 1호서울특별시 송파구 석촌호수로 188, 101호 (석촌동)5612미니스톱석촌공원점2016-04-07 16:44:37I2018-08-31 23:59:59.0<NA>208570.230586444895.883501<NA>
63230000PHMH32012323003408750000720121102<NA>3폐업3폐업20160513<NA><NA><NA>070-4601-8663<NA>138190서울특별시 송파구 석촌동 14번지 10호서울특별시 송파구 백제고분로 283, 1층 (석촌동)5613세븐일레븐올림픽병원점2016-05-13 15:02:39I2018-08-31 23:59:59.0<NA>208596.02475444510.670897<NA>
73230000PHMH32012323003408750000820121102<NA>1영업/정상13영업중<NA><NA><NA><NA>408-1290<NA>138130서울특별시 송파구 오금동 145번지 2호 102호서울특별시 송파구 문정로 235, 102호 (오금동)5742세븐일레븐(송파성내천점)2014-02-05 10:15:52I2018-08-31 23:59:59.0<NA>212406.992199444136.476266<NA>
83230000PHMH32012323003408750000920121102<NA>3폐업3폐업20121127<NA><NA><NA>412-6723<NA>138829서울특별시 송파구 방이동 88번지서울특별시 송파구 올림픽로 424 (방이동)5540씨유올림픽수영장점2015-08-13 14:47:23I2018-08-31 23:59:59.0<NA>210199.459219446539.279382<NA>
93230000PHMH32012323003408750001020121102<NA>3폐업3폐업20180501<NA><NA><NA>415-0625<NA>138180서울특별시 송파구 삼전동 22번지 2호서울특별시 송파구 석촌호수로 140 (삼전동)5600씨유잠실레이크점2018-05-01 15:29:32I2018-08-31 23:59:59.0<NA>208106.510001444988.080003<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
9073230000PHMH3202332300340875000402023-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 187-9서울특별시 송파구 문정로11길 20, 1층 (가락동)5782지에스25 가락미소점2023-12-19 08:51:21I2022-11-01 22:01:00.0<NA>211778.735699443541.606406<NA>
9083230000PHMH3202332300340875000412023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 618 파크하비오서울특별시 송파구 송파대로 111, 202동 145,146호 (문정동, 파크하비오)5837CU 송파하비오3호점2023-12-22 17:41:51I2022-11-01 22:04:00.0<NA>210868.397497442053.227933<NA>
9093230000PHMH3202432300340875000012024-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 222-108서울특별시 송파구 풍성로 32, 1층 (풍납동)5527지에스(GS)25풍납사랑점2024-01-10 14:38:54I2023-11-30 23:02:00.0<NA>210169.713219448033.615673<NA>
9103230000PHMH3202432300340875000022024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-8563-8711<NA><NA>서울특별시 송파구 삼전동 131-5 서울빌딩서울특별시 송파구 삼학사로 81, 서울빌딩 1층 (삼전동)5602지에스(GS25)삼전배명점2024-01-12 17:26:03I2023-11-30 23:04:00.0<NA>208496.260054444695.959467<NA>
9113230000PHMH3202432300340875000032024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 79-5 밀리아나2차오피스텔서울특별시 송파구 송파대로28길 24, 밀리아나2차오피스텔 1층 101,102,106호 (가락동)5718이마트24R가락탑점2024-01-25 09:28:20I2023-11-30 22:07:00.0<NA>210591.787825443574.42766<NA>
9123230000PHMH3202432300340875000042024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 133서울특별시 송파구 백제고분로46길 4, 1층 (송파동)5665GS25송파중앙점2024-02-27 17:09:06I2023-12-01 22:09:00.0<NA>209817.233834445144.314365<NA>
9133230000PHMH3202432300340875000052024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 17서울특별시 송파구 마천로31길 14, 1층 (마천동)5733지에스25 마천빌리지점2024-03-15 15:06:21I2023-12-02 23:07:00.0<NA>212601.045351444396.855247<NA>
9143230000PHMH3202432300340875000062024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-8007<NA><NA>서울특별시 송파구 삼전동 58-3 대영빌딩서울특별시 송파구 백제고분로28길 18, 대영빌딩 1층 (삼전동)5591씨유 뉴삼전무지개점2024-04-17 14:38:42I2023-12-03 23:09:00.0<NA>208028.06976444370.05874<NA>
9153230000PHMH3202432300340875000072024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1577-8007<NA><NA>서울특별시 송파구 가락동 93-3 영창빌딩서울특별시 송파구 송이로14길 22, 영창빌딩 1층 (가락동)5708씨유 뉴가락동부점2024-04-18 16:09:55I2023-12-03 22:00:00.0<NA>210310.209196444051.533056<NA>
9163230000PHMH3202432300340875000082024-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 167-1 한영해시안 아파트서울특별시 송파구 오금로32길 35, 상가1층 105호 (송파동, 한영해시안 아파트)5673지에스(GS)25송파해시안점2024-05-07 17:54:25I2023-12-05 00:09:00.0<NA>210454.620819444560.998707<NA>