Overview

Dataset statistics

Number of variables26
Number of observations900
Missing cells7951
Missing cells (%)34.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory194.4 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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16299/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 900 (100.0%) missing valuesMissing
폐업일자 has 377 (41.9%) missing valuesMissing
휴업시작일자 has 900 (100.0%) missing valuesMissing
휴업종료일자 has 900 (100.0%) missing valuesMissing
재개업일자 has 900 (100.0%) missing valuesMissing
전화번호 has 790 (87.8%) missing valuesMissing
소재지면적 has 900 (100.0%) missing valuesMissing
소재지우편번호 has 545 (60.6%) missing valuesMissing
지번주소 has 146 (16.2%) missing valuesMissing
업태구분명 has 900 (100.0%) missing valuesMissing
판매점영업면적 has 677 (75.2%) 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 35 (3.9%) zerosZeros

Reproduction

Analysis started2024-04-29 18:56:59.323365
Analysis finished2024-04-29 18:57:00.227799
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
3130000
900 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 900
100.0%

Length

2024-04-30T03:57:00.287083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:00.359257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 900
100.0%

관리번호
Text

UNIQUE 

Distinct900
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-30T03:57:00.509034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters22500
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

Unique900 ?
Unique (%)100.0%

Sample

1st rowPHMH320123130033087500001
2nd rowPHMH320123130033087500002
3rd rowPHMH320123130033087500003
4th rowPHMH320123130033087500004
5th rowPHMH320123130033087500005
ValueCountFrequency (%)
phmh320123130033087500001 1
 
0.1%
phmh320173130033087500047 1
 
0.1%
phmh320173130033087500089 1
 
0.1%
phmh320173130033087500078 1
 
0.1%
phmh320173130033087500079 1
 
0.1%
phmh320173130033087500080 1
 
0.1%
phmh320173130033087500081 1
 
0.1%
phmh320173130033087500082 1
 
0.1%
phmh320173130033087500083 1
 
0.1%
phmh320173130033087500084 1
 
0.1%
Other values (890) 890
98.9%
2024-04-30T03:57:00.783859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6413
28.5%
3 4822
21.4%
1 2003
 
8.9%
H 1800
 
8.0%
2 1660
 
7.4%
5 1145
 
5.1%
7 1137
 
5.1%
8 1076
 
4.8%
P 900
 
4.0%
M 900
 
4.0%
Other values (3) 644
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18900
84.0%
Uppercase Letter 3600
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6413
33.9%
3 4822
25.5%
1 2003
 
10.6%
2 1660
 
8.8%
5 1145
 
6.1%
7 1137
 
6.0%
8 1076
 
5.7%
4 265
 
1.4%
6 220
 
1.2%
9 159
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1800
50.0%
P 900
25.0%
M 900
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18900
84.0%
Latin 3600
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6413
33.9%
3 4822
25.5%
1 2003
 
10.6%
2 1660
 
8.8%
5 1145
 
6.1%
7 1137
 
6.0%
8 1076
 
5.7%
4 265
 
1.4%
6 220
 
1.2%
9 159
 
0.8%
Latin
ValueCountFrequency (%)
H 1800
50.0%
P 900
25.0%
M 900
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6413
28.5%
3 4822
21.4%
1 2003
 
8.9%
H 1800
 
8.0%
2 1660
 
7.4%
5 1145
 
5.1%
7 1137
 
5.1%
8 1076
 
4.8%
P 900
 
4.0%
M 900
 
4.0%
Other values (3) 644
 
2.9%

인허가일자
Date

Distinct560
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2012-11-07 00:00:00
Maximum2024-04-09 00:00:00
2024-04-30T03:57:00.914918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:01.042248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing900
Missing (%)100.0%
Memory size8.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
3
521 
1
377 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 521
57.9%
1 377
41.9%
4 2
 
0.2%

Length

2024-04-30T03:57:01.160530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:01.245971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 521
57.9%
1 377
41.9%
4 2
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
폐업
521 
영업/정상
377 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.2833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 521
57.9%
영업/정상 377
41.9%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-04-30T03:57:01.345196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:01.433005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 521
57.9%
영업/정상 377
41.9%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
3
521 
13
377 
24
 
2

Length

Max length2
Median length1
Mean length1.4211111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 521
57.9%
13 377
41.9%
24 2
 
0.2%

Length

2024-04-30T03:57:01.522283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:01.606035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 521
57.9%
13 377
41.9%
24 2
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
폐업
521 
영업중
377 
직권폐업
 
2

Length

Max length4
Median length2
Mean length2.4233333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 521
57.9%
영업중 377
41.9%
직권폐업 2
 
0.2%

Length

2024-04-30T03:57:01.710033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:01.809210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 521
57.9%
영업중 377
41.9%
직권폐업 2
 
0.2%

폐업일자
Date

MISSING 

Distinct453
Distinct (%)86.6%
Missing377
Missing (%)41.9%
Memory size7.2 KiB
Minimum2012-11-20 00:00:00
Maximum2024-04-12 00:00:00
2024-04-30T03:57:01.900820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:02.015128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing900
Missing (%)100.0%
Memory size8.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing900
Missing (%)100.0%
Memory size8.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing900
Missing (%)100.0%
Memory size8.0 KiB

전화번호
Text

MISSING 

Distinct105
Distinct (%)95.5%
Missing790
Missing (%)87.8%
Memory size7.2 KiB
2024-04-30T03:57:02.295188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5454545
Min length7

Characters and Unicode

Total characters1050
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

Unique100 ?
Unique (%)90.9%

Sample

1st row307-0285
2nd row701-0733
3rd row02-3276-8970
4th row2671-9169
5th row325-1222
ValueCountFrequency (%)
325-1222 2
 
1.8%
2078-8300 2
 
1.8%
323-5534 2
 
1.8%
02-3437-8385 2
 
1.8%
1577-9621 2
 
1.8%
02-332-6765 1
 
0.9%
02-322-0885 1
 
0.9%
333-9689 1
 
0.9%
3151-0708 1
 
0.9%
02-701-7640 1
 
0.9%
Other values (95) 95
86.4%
2024-04-30T03:57:02.688298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 169
16.1%
- 156
14.9%
2 134
12.8%
0 132
12.6%
7 98
9.3%
1 80
7.6%
4 62
 
5.9%
9 61
 
5.8%
5 56
 
5.3%
8 52
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 894
85.1%
Dash Punctuation 156
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 169
18.9%
2 134
15.0%
0 132
14.8%
7 98
11.0%
1 80
8.9%
4 62
 
6.9%
9 61
 
6.8%
5 56
 
6.3%
8 52
 
5.8%
6 50
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 169
16.1%
- 156
14.9%
2 134
12.8%
0 132
12.6%
7 98
9.3%
1 80
7.6%
4 62
 
5.9%
9 61
 
5.8%
5 56
 
5.3%
8 52
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 169
16.1%
- 156
14.9%
2 134
12.8%
0 132
12.6%
7 98
9.3%
1 80
7.6%
4 62
 
5.9%
9 61
 
5.8%
5 56
 
5.3%
8 52
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing900
Missing (%)100.0%
Memory size8.0 KiB

소재지우편번호
Text

MISSING 

Distinct126
Distinct (%)35.5%
Missing545
Missing (%)60.6%
Memory size7.2 KiB
2024-04-30T03:57:02.974731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0394366
Min length6

Characters and Unicode

Total characters2144
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

Unique44 ?
Unique (%)12.4%

Sample

1st row121831
2nd row121828
3rd row121838
4th row121815
5th row121837
ValueCountFrequency (%)
121854 10
 
2.8%
121904 9
 
2.5%
121838 9
 
2.5%
121837 8
 
2.3%
121829 8
 
2.3%
121869 8
 
2.3%
121846 7
 
2.0%
121839 7
 
2.0%
121865 7
 
2.0%
121843 6
 
1.7%
Other values (116) 276
77.7%
2024-04-30T03:57:03.588711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 775
36.1%
2 415
19.4%
8 373
17.4%
0 106
 
4.9%
9 96
 
4.5%
4 79
 
3.7%
5 78
 
3.6%
3 73
 
3.4%
7 73
 
3.4%
6 62
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2130
99.3%
Dash Punctuation 14
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 775
36.4%
2 415
19.5%
8 373
17.5%
0 106
 
5.0%
9 96
 
4.5%
4 79
 
3.7%
5 78
 
3.7%
3 73
 
3.4%
7 73
 
3.4%
6 62
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 775
36.1%
2 415
19.4%
8 373
17.4%
0 106
 
4.9%
9 96
 
4.5%
4 79
 
3.7%
5 78
 
3.6%
3 73
 
3.4%
7 73
 
3.4%
6 62
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 775
36.1%
2 415
19.4%
8 373
17.4%
0 106
 
4.9%
9 96
 
4.5%
4 79
 
3.7%
5 78
 
3.6%
3 73
 
3.4%
7 73
 
3.4%
6 62
 
2.9%

지번주소
Text

MISSING 

Distinct669
Distinct (%)88.7%
Missing146
Missing (%)16.2%
Memory size7.2 KiB
2024-04-30T03:57:03.934835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length43
Mean length24.119363
Min length13

Characters and Unicode

Total characters18186
Distinct characters219
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique590 ?
Unique (%)78.2%

Sample

1st row서울특별시 마포구 상암동 115번지 11호
2nd row서울특별시 마포구 상수동 145번지 1호
3rd row서울특별시 마포구 서교동 355번지 3호 솔라즈빌딩
4th row서울특별시 마포구 도화동 563번지 아크로타워 121호
5th row서울특별시 마포구 서교동 338번지 18호
ValueCountFrequency (%)
서울특별시 754
19.0%
마포구 754
19.0%
1층 144
 
3.6%
서교동 136
 
3.4%
1호 91
 
2.3%
성산동 82
 
2.1%
망원동 68
 
1.7%
상암동 64
 
1.6%
연남동 51
 
1.3%
합정동 48
 
1.2%
Other values (724) 1776
44.8%
2024-04-30T03:57:04.490864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3217
17.7%
서 898
 
4.9%
1 824
 
4.5%
동 816
 
4.5%
마 771
 
4.2%
포 770
 
4.2%
시 769
 
4.2%
구 761
 
4.2%
울 755
 
4.2%
별 754
 
4.1%
Other values (209) 7851
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11244
61.8%
Decimal Number 3550
 
19.5%
Space Separator 3217
 
17.7%
Dash Punctuation 112
 
0.6%
Uppercase Letter 40
 
0.2%
Other Punctuation 17
 
0.1%
Lowercase Letter 3
 
< 0.1%
Letter Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 898
 
8.0%
동 816
 
7.3%
마 771
 
6.9%
포 770
 
6.8%
시 769
 
6.8%
구 761
 
6.8%
울 755
 
6.7%
별 754
 
6.7%
특 754
 
6.7%
지 647
 
5.8%
Other values (180) 3549
31.6%
Decimal Number
ValueCountFrequency (%)
1 824
23.2%
3 420
11.8%
4 409
11.5%
2 399
11.2%
5 335
9.4%
6 272
 
7.7%
0 250
 
7.0%
7 247
 
7.0%
9 201
 
5.7%
8 193
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
C 8
20.0%
M 8
20.0%
B 7
17.5%
D 7
17.5%
S 3
 
7.5%
K 3
 
7.5%
R 1
 
2.5%
A 1
 
2.5%
P 1
 
2.5%
Y 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
t 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
3217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11244
61.8%
Common 6898
37.9%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 898
 
8.0%
동 816
 
7.3%
마 771
 
6.9%
포 770
 
6.8%
시 769
 
6.8%
구 761
 
6.8%
울 755
 
6.7%
별 754
 
6.7%
특 754
 
6.7%
지 647
 
5.8%
Other values (180) 3549
31.6%
Common
ValueCountFrequency (%)
3217
46.6%
1 824
 
11.9%
3 420
 
6.1%
4 409
 
5.9%
2 399
 
5.8%
5 335
 
4.9%
6 272
 
3.9%
0 250
 
3.6%
7 247
 
3.6%
9 201
 
2.9%
Other values (5) 324
 
4.7%
Latin
ValueCountFrequency (%)
C 8
18.2%
M 8
18.2%
B 7
15.9%
D 7
15.9%
S 3
 
6.8%
K 3
 
6.8%
R 1
 
2.3%
A 1
 
2.3%
P 1
 
2.3%
Ⅱ 1
 
2.3%
Other values (4) 4
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11244
61.8%
ASCII 6941
38.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3217
46.3%
1 824
 
11.9%
3 420
 
6.1%
4 409
 
5.9%
2 399
 
5.7%
5 335
 
4.8%
6 272
 
3.9%
0 250
 
3.6%
7 247
 
3.6%
9 201
 
2.9%
Other values (18) 367
 
5.3%
Hangul
ValueCountFrequency (%)
서 898
 
8.0%
동 816
 
7.3%
마 771
 
6.9%
포 770
 
6.8%
시 769
 
6.8%
구 761
 
6.8%
울 755
 
6.7%
별 754
 
6.7%
특 754
 
6.7%
지 647
 
5.8%
Other values (180) 3549
31.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct726
Distinct (%)80.8%
Missing1
Missing (%)0.1%
Memory size7.2 KiB
2024-04-30T03:57:04.869455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length31.944383
Min length22

Characters and Unicode

Total characters28718
Distinct characters297
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

Unique596 ?
Unique (%)66.3%

Sample

1st row서울특별시 마포구 월드컵북로 347 (상암동)
2nd row서울특별시 마포구 와우산로 45, 1층 (상수동)
3rd row서울특별시 마포구 홍익로5길 19, 1층 (서교동, 솔라즈빌딩)
4th row서울특별시 마포구 마포대로 68, 121호 (도화동, 아크로타워)
5th row서울특별시 마포구 와우산로 100 (서교동)
ValueCountFrequency (%)
서울특별시 899
 
15.6%
마포구 899
 
15.6%
1층 497
 
8.6%
서교동 149
 
2.6%
성산동 87
 
1.5%
상암동 73
 
1.3%
망원동 73
 
1.3%
101호 62
 
1.1%
연남동 57
 
1.0%
월드컵북로 53
 
0.9%
Other values (836) 2922
50.6%
2024-04-30T03:57:05.347768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4872
 
17.0%
1 1623
 
5.7%
서 1088
 
3.8%
동 1064
 
3.7%
마 1031
 
3.6%
, 1031
 
3.6%
포 1029
 
3.6%
울 927
 
3.2%
시 923
 
3.2%
구 911
 
3.2%
Other values (287) 14219
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16563
57.7%
Space Separator 4872
 
17.0%
Decimal Number 4256
 
14.8%
Other Punctuation 1033
 
3.6%
Open Punctuation 901
 
3.1%
Close Punctuation 901
 
3.1%
Uppercase Letter 107
 
0.4%
Dash Punctuation 74
 
0.3%
Lowercase Letter 7
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1088
 
6.6%
동 1064
 
6.4%
마 1031
 
6.2%
포 1029
 
6.2%
울 927
 
5.6%
시 923
 
5.6%
구 911
 
5.5%
별 899
 
5.4%
특 899
 
5.4%
로 852
 
5.1%
Other values (245) 6940
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 25
23.4%
C 20
18.7%
M 13
12.1%
D 13
12.1%
K 8
 
7.5%
S 5
 
4.7%
I 5
 
4.7%
R 3
 
2.8%
L 3
 
2.8%
G 2
 
1.9%
Other values (7) 10
 
9.3%
Decimal Number
ValueCountFrequency (%)
1 1623
38.1%
2 496
 
11.7%
0 444
 
10.4%
3 359
 
8.4%
4 279
 
6.6%
5 247
 
5.8%
6 221
 
5.2%
8 204
 
4.8%
9 200
 
4.7%
7 183
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
y 1
14.3%
t 1
14.3%
i 1
14.3%
o 1
14.3%
w 1
14.3%
e 1
14.3%
r 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1031
99.8%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 901
100.0%
Close Punctuation
ValueCountFrequency (%)
) 901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16563
57.7%
Common 12039
41.9%
Latin 116
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1088
 
6.6%
동 1064
 
6.4%
마 1031
 
6.2%
포 1029
 
6.2%
울 927
 
5.6%
시 923
 
5.6%
구 911
 
5.5%
별 899
 
5.4%
특 899
 
5.4%
로 852
 
5.1%
Other values (245) 6940
41.9%
Latin
ValueCountFrequency (%)
B 25
21.6%
C 20
17.2%
M 13
11.2%
D 13
11.2%
K 8
 
6.9%
S 5
 
4.3%
I 5
 
4.3%
R 3
 
2.6%
L 3
 
2.6%
G 2
 
1.7%
Other values (15) 19
16.4%
Common
ValueCountFrequency (%)
4872
40.5%
1 1623
 
13.5%
, 1031
 
8.6%
( 901
 
7.5%
) 901
 
7.5%
2 496
 
4.1%
0 444
 
3.7%
3 359
 
3.0%
4 279
 
2.3%
5 247
 
2.1%
Other values (7) 886
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16563
57.7%
ASCII 12153
42.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4872
40.1%
1 1623
 
13.4%
, 1031
 
8.5%
( 901
 
7.4%
) 901
 
7.4%
2 496
 
4.1%
0 444
 
3.7%
3 359
 
3.0%
4 279
 
2.3%
5 247
 
2.0%
Other values (31) 1000
 
8.2%
Hangul
ValueCountFrequency (%)
서 1088
 
6.6%
동 1064
 
6.4%
마 1031
 
6.2%
포 1029
 
6.2%
울 927
 
5.6%
시 923
 
5.6%
구 911
 
5.5%
별 899
 
5.4%
특 899
 
5.4%
로 852
 
5.1%
Other values (245) 6940
41.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

Distinct298
Distinct (%)33.1%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17793.667
Minimum3900
Maximum121904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-04-30T03:57:05.471338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3900
5-th percentile3925
Q13991
median4051
Q34147.5
95-th percentile121841.1
Maximum121904
Range118004
Interquartile range (IQR)156.5

Descriptive statistics

Standard deviation37831.119
Coefficient of variation (CV)2.1261001
Kurtosis3.7215514
Mean17793.667
Median Absolute Deviation (MAD)71
Skewness2.3902304
Sum15996507
Variance1.4311935 × 109
MonotonicityNot monotonic
2024-04-30T03:57:05.592599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3938 15
 
1.7%
3991 13
 
1.4%
4049 13
 
1.4%
3978 9
 
1.0%
4004 9
 
1.0%
4002 9
 
1.0%
4034 8
 
0.9%
3964 8
 
0.9%
4209 8
 
0.9%
3930 8
 
0.9%
Other values (288) 799
88.8%
ValueCountFrequency (%)
3900 6
0.7%
3902 6
0.7%
3903 3
0.3%
3905 2
 
0.2%
3906 1
 
0.1%
3907 2
 
0.2%
3908 7
0.8%
3912 3
0.3%
3913 2
 
0.2%
3914 2
 
0.2%
ValueCountFrequency (%)
121904 6
0.7%
121903 1
 
0.1%
121898 1
 
0.1%
121895 3
0.3%
121894 1
 
0.1%
121893 1
 
0.1%
121888 1
 
0.1%
121887 1
 
0.1%
121886 1
 
0.1%
121885 1
 
0.1%

사업장명
Text

Distinct729
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-30T03:57:05.819899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.86
Min length3

Characters and Unicode

Total characters9774
Distinct characters340
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique594 ?
Unique (%)66.0%

Sample

1st row씨유 마포상암점
2nd row씨유 홍대와우점
3rd row씨유 서교호텔점
4th row아이지에이 마트
5th row세븐일레븐 홍대정문점
ValueCountFrequency (%)
씨유 262
 
14.9%
gs25 190
 
10.8%
세븐일레븐 98
 
5.6%
지에스25 64
 
3.6%
미니스톱 44
 
2.5%
주)코리아세븐 39
 
2.2%
㈜코리아세븐 34
 
1.9%
지에스(gs)25 33
 
1.9%
이마트24 19
 
1.1%
주)비지에프리테일 12
 
0.7%
Other values (597) 966
54.9%
2024-04-30T03:57:06.177526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
866
 
8.9%
점 838
 
8.6%
2 380
 
3.9%
5 346
 
3.5%
븐 290
 
3.0%
씨 277
 
2.8%
유 276
 
2.8%
S 255
 
2.6%
G 251
 
2.6%
마 250
 
2.6%
Other values (330) 5745
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7218
73.8%
Space Separator 866
 
8.9%
Decimal Number 808
 
8.3%
Uppercase Letter 572
 
5.9%
Close Punctuation 124
 
1.3%
Open Punctuation 123
 
1.3%
Other Symbol 43
 
0.4%
Lowercase Letter 17
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 838
 
11.6%
븐 290
 
4.0%
씨 277
 
3.8%
유 276
 
3.8%
마 250
 
3.5%
스 244
 
3.4%
포 219
 
3.0%
세 190
 
2.6%
지 187
 
2.6%
리 177
 
2.5%
Other values (291) 4270
59.2%
Uppercase Letter
ValueCountFrequency (%)
S 255
44.6%
G 251
43.9%
C 14
 
2.4%
K 14
 
2.4%
M 7
 
1.2%
I 7
 
1.2%
B 5
 
0.9%
T 5
 
0.9%
D 4
 
0.7%
L 3
 
0.5%
Other values (3) 7
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
r 2
11.8%
a 2
11.8%
s 2
11.8%
o 2
11.8%
t 2
11.8%
e 2
11.8%
p 1
5.9%
l 1
5.9%
d 1
5.9%
n 1
5.9%
Decimal Number
ValueCountFrequency (%)
2 380
47.0%
5 346
42.8%
4 26
 
3.2%
1 19
 
2.4%
3 12
 
1.5%
7 8
 
1.0%
6 7
 
0.9%
9 7
 
0.9%
8 2
 
0.2%
0 1
 
0.1%
Space Separator
ValueCountFrequency (%)
866
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 43
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7261
74.3%
Common 1924
 
19.7%
Latin 589
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 838
 
11.5%
븐 290
 
4.0%
씨 277
 
3.8%
유 276
 
3.8%
마 250
 
3.4%
스 244
 
3.4%
포 219
 
3.0%
세 190
 
2.6%
지 187
 
2.6%
리 177
 
2.4%
Other values (292) 4313
59.4%
Latin
ValueCountFrequency (%)
S 255
43.3%
G 251
42.6%
C 14
 
2.4%
K 14
 
2.4%
M 7
 
1.2%
I 7
 
1.2%
B 5
 
0.8%
T 5
 
0.8%
D 4
 
0.7%
L 3
 
0.5%
Other values (14) 24
 
4.1%
Common
ValueCountFrequency (%)
866
45.0%
2 380
19.8%
5 346
 
18.0%
) 124
 
6.4%
( 123
 
6.4%
4 26
 
1.4%
1 19
 
1.0%
3 12
 
0.6%
7 8
 
0.4%
6 7
 
0.4%
Other values (4) 13
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7218
73.8%
ASCII 2513
 
25.7%
None 43
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
866
34.5%
2 380
15.1%
5 346
 
13.8%
S 255
 
10.1%
G 251
 
10.0%
) 124
 
4.9%
( 123
 
4.9%
4 26
 
1.0%
1 19
 
0.8%
C 14
 
0.6%
Other values (28) 109
 
4.3%
Hangul
ValueCountFrequency (%)
점 838
 
11.6%
븐 290
 
4.0%
씨 277
 
3.8%
유 276
 
3.8%
마 250
 
3.5%
스 244
 
3.4%
포 219
 
3.0%
세 190
 
2.6%
지 187
 
2.6%
리 177
 
2.5%
Other values (291) 4270
59.2%
None
ValueCountFrequency (%)
㈜ 43
100.0%

최종수정일자
Date

UNIQUE 

Distinct900
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2013-09-16 15:36:19
Maximum2024-04-12 15:29:24
2024-04-30T03:57:06.299391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:06.419462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
I
591 
U
309 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 591
65.7%
U 309
34.3%

Length

2024-04-30T03:57:06.535558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:57:06.616617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 591
65.7%
u 309
34.3%

데이터갱신일자
Date

Distinct394
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:57:06.880339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:57:07.008074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing900
Missing (%)100.0%
Memory size8.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct564
Distinct (%)63.2%
Missing7
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean193146.67
Minimum189212.74
Maximum196699.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-04-30T03:57:07.119007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189212.74
5-th percentile190345.73
Q1192059.35
median193002.74
Q3194523.8
95-th percentile195874.64
Maximum196699.19
Range7486.4508
Interquartile range (IQR)2464.4546

Descriptive statistics

Standard deviation1664.6339
Coefficient of variation (CV)0.0086184963
Kurtosis-0.60203542
Mean193146.67
Median Absolute Deviation (MAD)1182.3009
Skewness0.039999995
Sum1.7247998 × 108
Variance2771005.9
MonotonicityNot monotonic
2024-04-30T03:57:07.261299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195322.033365468 6
 
0.7%
192271.933002408 6
 
0.7%
192833.352610043 5
 
0.6%
194014.30771856 5
 
0.6%
195874.639172861 5
 
0.6%
194185.041275612 5
 
0.6%
193246.129422218 5
 
0.6%
194564.277152493 5
 
0.6%
195703.425296812 5
 
0.6%
192273.061257144 5
 
0.6%
Other values (554) 841
93.4%
(Missing) 7
 
0.8%
ValueCountFrequency (%)
189212.737535822 4
0.4%
189282.58640148 3
0.3%
189372.962506695 1
 
0.1%
189378.0 1
 
0.1%
189392.864151 1
 
0.1%
189461.587933606 3
0.3%
189520.465145926 1
 
0.1%
189586.493821292 1
 
0.1%
189624.641758403 2
0.2%
189640.477184701 1
 
0.1%
ValueCountFrequency (%)
196699.188309549 2
0.2%
196554.01183391 1
 
0.1%
196549.907298732 3
0.3%
196484.045088357 1
 
0.1%
196472.785532336 1
 
0.1%
196426.275926225 1
 
0.1%
196377.885447836 1
 
0.1%
196367.576426544 1
 
0.1%
196361.69342531 1
 
0.1%
196343.247470675 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct564
Distinct (%)63.2%
Missing7
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean450337.03
Minimum448229.06
Maximum453879.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-04-30T03:57:07.395107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448893.81
Q1449573.82
median450191.17
Q3450835.84
95-th percentile452797.8
Maximum453879.76
Range5650.6962
Interquartile range (IQR)1262.0268

Descriptive statistics

Standard deviation1089.4037
Coefficient of variation (CV)0.0024190853
Kurtosis0.89323543
Mean450337.03
Median Absolute Deviation (MAD)622.19329
Skewness0.96833592
Sum4.0215097 × 108
Variance1186800.3
MonotonicityNot monotonic
2024-04-30T03:57:07.513898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448969.110547126 6
 
0.7%
450289.531226454 6
 
0.7%
450843.369930652 5
 
0.6%
449443.987812619 5
 
0.6%
449015.903404686 5
 
0.6%
449408.406768851 5
 
0.6%
449409.743606591 5
 
0.6%
449886.700377146 5
 
0.6%
449330.800717721 5
 
0.6%
451386.750648228 5
 
0.6%
Other values (554) 841
93.4%
(Missing) 7
 
0.8%
ValueCountFrequency (%)
448229.063825491 1
0.1%
448274.441478548 2
0.2%
448276.965250949 1
0.1%
448305.518618358 2
0.2%
448311.311124573 1
0.1%
448407.752664604 1
0.1%
448470.97363262 1
0.1%
448505.047642346 2
0.2%
448505.891542319 2
0.2%
448569.55182505 1
0.1%
ValueCountFrequency (%)
453879.760075 1
 
0.1%
453872.42578746 2
0.2%
453685.460423342 1
 
0.1%
453548.145914121 1
 
0.1%
453542.806111 1
 
0.1%
453469.0 1
 
0.1%
453468.379147545 4
0.4%
453405.479959 1
 
0.1%
453367.521771928 1
 
0.1%
453360.240306636 1
 
0.1%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)55.2%
Missing677
Missing (%)75.2%
Infinite0
Infinite (%)0.0%
Mean54.747982
Minimum0
Maximum226
Zeros35
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-04-30T03:57:07.640317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.075
median50
Q376.08
95-th percentile117.948
Maximum226
Range226
Interquartile range (IQR)43.005

Descriptive statistics

Standard deviation38.264892
Coefficient of variation (CV)0.69892789
Kurtosis2.0482978
Mean54.747982
Median Absolute Deviation (MAD)20.3
Skewness0.88474066
Sum12208.8
Variance1464.2019
MonotonicityNot monotonic
2024-04-30T03:57:07.747137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 35
 
3.9%
49.5 12
 
1.3%
66.0 12
 
1.3%
52.8 4
 
0.4%
60.0 4
 
0.4%
45.0 4
 
0.4%
36.0 3
 
0.3%
90.0 3
 
0.3%
80.0 3
 
0.3%
33.0 3
 
0.3%
Other values (113) 140
 
15.6%
(Missing) 677
75.2%
ValueCountFrequency (%)
0.0 35
3.9%
6.6 1
 
0.1%
9.0 1
 
0.1%
16.5 1
 
0.1%
20.0 3
 
0.3%
22.0 1
 
0.1%
24.98 1
 
0.1%
26.44 1
 
0.1%
27.0 1
 
0.1%
28.0 1
 
0.1%
ValueCountFrequency (%)
226.0 1
0.1%
194.9 1
0.1%
174.9 1
0.1%
151.8 1
0.1%
151.06 1
0.1%
149.8 1
0.1%
134.0 1
0.1%
132.0 2
0.2%
131.04 1
0.1%
120.16 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03130000PHMH32012313003308750000120121112<NA>3폐업3폐업20130829<NA><NA><NA>307-0285<NA>121831서울특별시 마포구 상암동 115번지 11호서울특별시 마포구 월드컵북로 347 (상암동)121831씨유 마포상암점2013-09-16 15:36:19I2018-08-31 23:59:59.0<NA>190490.426415452676.54738242.95
13130000PHMH32012313003308750000220121114<NA>3폐업3폐업20130916<NA><NA><NA><NA><NA>121828서울특별시 마포구 상수동 145번지 1호서울특별시 마포구 와우산로 45, 1층 (상수동)121828씨유 홍대와우점2013-09-16 16:18:33I2018-08-31 23:59:59.0<NA>193104.62099449589.620443<NA>
23130000PHMH32012313003308750000320121114<NA>3폐업3폐업20130926<NA><NA><NA><NA><NA>121838서울특별시 마포구 서교동 355번지 3호 솔라즈빌딩서울특별시 마포구 홍익로5길 19, 1층 (서교동, 솔라즈빌딩)121838씨유 서교호텔점2013-09-27 11:12:02I2018-08-31 23:59:59.0<NA>192984.867928450190.1563366.1
33130000PHMH32012313003308750000420121126<NA>3폐업3폐업20151231<NA><NA><NA><NA><NA>121815서울특별시 마포구 도화동 563번지 아크로타워 121호서울특별시 마포구 마포대로 68, 121호 (도화동, 아크로타워)4168아이지에이 마트2016-01-06 16:58:53I2018-08-31 23:59:59.0<NA>195422.17535448787.973521<NA>
43130000PHMH32012313003308750000520121119<NA>3폐업3폐업20140826<NA><NA><NA><NA><NA>121837서울특별시 마포구 서교동 338번지 18호서울특별시 마포구 와우산로 100 (서교동)121837세븐일레븐 홍대정문점2014-08-26 16:47:52I2018-08-31 23:59:59.0<NA>193276.924001450065.838362<NA>
53130000PHMH32012313003308750000620121108<NA>3폐업3폐업20131015<NA><NA><NA><NA><NA>121785서울특별시 마포구 상암동 627번지서울특별시 마포구 월드컵북로 501 (상암동)121785GS25 상암9단지점2014-01-08 16:40:45I2018-08-31 23:59:59.0<NA>189372.962507453548.145914<NA>
63130000PHMH32012313003308750000720121115<NA>3폐업3폐업20131121<NA><NA><NA><NA><NA>121904서울특별시 마포구 상암동 1655번지서울특별시 마포구 월드컵북로 381, 111호 (상암동, 상암월드컵파크4단지상가)121904씨유 상암4단지점2013-11-21 17:29:03I2018-08-31 23:59:59.0<NA>190097.791839452827.150592<NA>
73130000PHMH32012313003308750000820121113<NA>3폐업3폐업20180622<NA><NA><NA><NA><NA>121846서울특별시 마포구 성산동 209번지 1호서울특별시 마포구 월드컵북로 78 (성산동)3978씨유 성산진영점2021-10-01 13:54:39U2021-10-03 02:40:00.0<NA>192513.961689450966.3023670.0
83130000PHMH32012313003308750000920121113<NA>3폐업3폐업20131202<NA><NA><NA><NA><NA>121841서울특별시 마포구 서교동 490번지 메세나폴리스몰 144호서울특별시 마포구 양화로 45, 144호 (서교동, 메세나폴리스몰)121841세븐일레븐 메세나폴리스점2013-12-02 17:45:21I2018-08-31 23:59:59.0<NA>192311.64258449855.64391<NA>
93130000PHMH32012313003308750001020121123<NA>3폐업3폐업20190904<NA><NA><NA><NA><NA>121885서울특별시 마포구 합정동 382번지 20호서울특별시 마포구 양화로 13 (합정동)4027SK네트웍스(주) 합정주유소2019-09-06 09:53:10U2019-09-08 02:40:00.0<NA>192021.89863449617.783267<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
8903130000PHMH3202431300330875000042024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 효창원로 249, 1층 (공덕동)4184씨유 공덕배문점2024-01-23 09:00:32I2023-11-30 22:05:00.0<NA>196699.18831449687.133835<NA>
8913130000PHMH3202431300330875000052024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 독막로20나길 22, 1층 104호 (상수동, 래미안밤섬리베뉴 1)4076지에스(GS)25뉴상수사랑2024-01-25 11:12:09I2023-11-30 22:07:00.0<NA>193345.6351449376.251557<NA>
8923130000PHMH3202431300330875000062024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 와우산로11길 28, 지층 (상수동)4049지에스(GS)25 상수행복점2024-01-30 11:08:17I2023-12-02 00:01:00.0<NA>192986.493943449610.197628<NA>
8933130000PHMH3202431300330875000072024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 1736 상암월드컵파크10단지서울특별시 마포구 월드컵북로 502-36, 상가동 107,108호 (상암동, 상암월드컵파크10단지)3918지에스(GS)25 상암 10단지점2024-02-20 10:09:10I2023-12-01 22:02:00.0<NA>189520.465146453685.460423<NA>
8943130000PHMH3202431300330875000082024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 노고산동 40-1서울특별시 마포구 신촌로 128, 1층 (노고산동)4101씨유 신촌로점2024-02-21 16:48:12I2023-12-01 22:04:00.0<NA>194624.665636450387.14561<NA>
8953130000PHMH3202431300330875000092024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 1660 상암월드컵파크 7단지 상가101호서울특별시 마포구 상암산로1길 92, 상가101호 (상암동, 상암월드컵파크 7단지)3903지에스25 상암7단지2024-03-11 13:03:58I2023-12-02 23:03:00.0<NA>189461.587934453279.956172<NA>
8963130000PHMH3202431300330875000102024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 백범로4길 12, 준빌딩 2층 (노고산동)4109지에스25 마포신촌점2024-03-27 15:53:12I2023-12-02 22:09:00.0<NA>194313.827747450069.854126<NA>
8973130000PHMH3202431300330875000112024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 362-1서울특별시 마포구 독막로 42, 1층 (합정동)4072지에스25 합정유니버스점2024-04-02 13:11:59I2023-12-04 00:04:00.0<NA>192665.897224449510.335754<NA>
8983130000PHMH3202431300330875000122024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 88-16서울특별시 마포구 광성로4길 11-10, 1층 (신수동)4096지에스25 마포신수점2024-04-09 13:33:50I2023-12-03 23:02:00.0<NA>194446.968198449684.193616<NA>
8993130000PHMH3202431300330875000132024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 35-1서울특별시 마포구 월드컵북로44길 49, 1층 코너호 (상암동)3930지에스25 상암본점2024-04-09 13:55:03I2023-12-03 23:02:00.0<NA>190631.655204452726.740427<NA>