Overview

Dataset statistics

Number of variables26
Number of observations764
Missing cells6222
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory165.0 KiB
Average record size in memory221.2 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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16307/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 764 (100.0%) missing valuesMissing
폐업일자 has 333 (43.6%) missing valuesMissing
휴업시작일자 has 764 (100.0%) missing valuesMissing
휴업종료일자 has 764 (100.0%) missing valuesMissing
재개업일자 has 764 (100.0%) missing valuesMissing
전화번호 has 344 (45.0%) missing valuesMissing
소재지면적 has 764 (100.0%) missing valuesMissing
소재지우편번호 has 386 (50.5%) missing valuesMissing
지번주소 has 10 (1.3%) missing valuesMissing
업태구분명 has 764 (100.0%) missing valuesMissing
판매점영업면적 has 541 (70.8%) 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 20 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:26:26.200478
Analysis finished2024-05-11 06:26:27.715708
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
3210000
764 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 764
100.0%

Length

2024-05-11T06:26:28.097157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:26:28.399142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 764
100.0%

관리번호
Text

UNIQUE 

Distinct764
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-11T06:26:28.822132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters19100
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

Unique764 ?
Unique (%)100.0%

Sample

1st rowPHMH320123210034087500001
2nd rowPHMH320123210034087500002
3rd rowPHMH320123210034087500003
4th rowPHMH320123210034087500004
5th rowPHMH320123210034087500005
ValueCountFrequency (%)
phmh320123210034087500001 1
 
0.1%
phmh320173210034087500004 1
 
0.1%
phmh320173210034087500006 1
 
0.1%
phmh320163210034087500090 1
 
0.1%
phmh320163210034087500091 1
 
0.1%
phmh320163210034087500092 1
 
0.1%
phmh320163210034087500093 1
 
0.1%
phmh320163210034087500094 1
 
0.1%
phmh320173210034087500001 1
 
0.1%
phmh320173210034087500002 1
 
0.1%
Other values (754) 754
98.7%
2024-05-11T06:26:29.767518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5463
28.6%
3 2573
13.5%
2 2175
 
11.4%
1 1741
 
9.1%
H 1528
 
8.0%
5 964
 
5.0%
4 956
 
5.0%
7 922
 
4.8%
8 896
 
4.7%
P 764
 
4.0%
Other values (3) 1118
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16044
84.0%
Uppercase Letter 3056
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5463
34.1%
3 2573
16.0%
2 2175
 
13.6%
1 1741
 
10.9%
5 964
 
6.0%
4 956
 
6.0%
7 922
 
5.7%
8 896
 
5.6%
6 217
 
1.4%
9 137
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 1528
50.0%
P 764
25.0%
M 764
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16044
84.0%
Latin 3056
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5463
34.1%
3 2573
16.0%
2 2175
 
13.6%
1 1741
 
10.9%
5 964
 
6.0%
4 956
 
6.0%
7 922
 
5.7%
8 896
 
5.6%
6 217
 
1.4%
9 137
 
0.9%
Latin
ValueCountFrequency (%)
H 1528
50.0%
P 764
25.0%
M 764
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5463
28.6%
3 2573
13.5%
2 2175
 
11.4%
1 1741
 
9.1%
H 1528
 
8.0%
5 964
 
5.0%
4 956
 
5.0%
7 922
 
4.8%
8 896
 
4.7%
P 764
 
4.0%
Other values (3) 1118
 
5.9%

인허가일자
Date

Distinct470
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2012-11-06 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T06:26:30.170128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:26:30.641327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing764
Missing (%)100.0%
Memory size6.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
3
416 
1
333 
4
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 416
54.5%
1 333
43.6%
4 15
 
2.0%

Length

2024-05-11T06:26:31.063529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:26:31.382053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 416
54.5%
1 333
43.6%
4 15
 
2.0%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업
416 
영업/정상
333 
취소/말소/만료/정지/중지
 
15

Length

Max length14
Median length2
Mean length3.5431937
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 416
54.5%
영업/정상 333
43.6%
취소/말소/만료/정지/중지 15
 
2.0%

Length

2024-05-11T06:26:31.747489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:26:32.091340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 416
54.5%
영업/정상 333
43.6%
취소/말소/만료/정지/중지 15
 
2.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
3
416 
13
333 
24
 
15

Length

Max length2
Median length1
Mean length1.4554974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row3
4th row3
5th row24

Common Values

ValueCountFrequency (%)
3 416
54.5%
13 333
43.6%
24 15
 
2.0%

Length

2024-05-11T06:26:32.563972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:26:32.945498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 416
54.5%
13 333
43.6%
24 15
 
2.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업
416 
영업중
333 
직권폐업
 
15

Length

Max length4
Median length2
Mean length2.4751309
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 416
54.5%
영업중 333
43.6%
직권폐업 15
 
2.0%

Length

2024-05-11T06:26:33.427644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:26:33.845063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 416
54.5%
영업중 333
43.6%
직권폐업 15
 
2.0%

폐업일자
Date

MISSING 

Distinct371
Distinct (%)86.1%
Missing333
Missing (%)43.6%
Memory size6.1 KiB
Minimum2013-02-28 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T06:26:34.299651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:26:34.883048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing764
Missing (%)100.0%
Memory size6.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing764
Missing (%)100.0%
Memory size6.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing764
Missing (%)100.0%
Memory size6.8 KiB

전화번호
Text

MISSING 

Distinct379
Distinct (%)90.2%
Missing344
Missing (%)45.0%
Memory size6.1 KiB
2024-05-11T06:26:35.514711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.897619
Min length8

Characters and Unicode

Total characters4577
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

Unique342 ?
Unique (%)81.4%

Sample

1st row02-595-3624
2nd row02-3478-0171
3rd row070-7116-1666
4th row02-585-2243
5th row02-579-7602
ValueCountFrequency (%)
02-535-6103 4
 
1.0%
02-3472-8795 3
 
0.7%
02-574-2777 3
 
0.7%
02-578-9959 2
 
0.5%
02-593-2218 2
 
0.5%
02-3482-1114 2
 
0.5%
02-533-4489 2
 
0.5%
02-584-2005 2
 
0.5%
02-3444-4549 2
 
0.5%
02-585-2117 2
 
0.5%
Other values (369) 396
94.3%
2024-05-11T06:26:36.456612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 783
17.1%
2 691
15.1%
0 559
12.2%
5 536
11.7%
8 342
7.5%
7 340
7.4%
3 336
7.3%
4 284
 
6.2%
1 268
 
5.9%
9 220
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3794
82.9%
Dash Punctuation 783
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 691
18.2%
0 559
14.7%
5 536
14.1%
8 342
9.0%
7 340
9.0%
3 336
8.9%
4 284
7.5%
1 268
 
7.1%
9 220
 
5.8%
6 218
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 783
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4577
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 783
17.1%
2 691
15.1%
0 559
12.2%
5 536
11.7%
8 342
7.5%
7 340
7.4%
3 336
7.3%
4 284
 
6.2%
1 268
 
5.9%
9 220
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 783
17.1%
2 691
15.1%
0 559
12.2%
5 536
11.7%
8 342
7.5%
7 340
7.4%
3 336
7.3%
4 284
 
6.2%
1 268
 
5.9%
9 220
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing764
Missing (%)100.0%
Memory size6.8 KiB

소재지우편번호
Text

MISSING 

Distinct150
Distinct (%)39.7%
Missing386
Missing (%)50.5%
Memory size6.1 KiB
2024-05-11T06:26:37.097303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1375661
Min length6

Characters and Unicode

Total characters2320
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

Unique72 ?
Unique (%)19.0%

Sample

1st row137803
2nd row137883
3rd row137903
4th row137808
5th row137847
ValueCountFrequency (%)
137856 14
 
3.7%
137810 11
 
2.9%
137860 9
 
2.4%
137863 8
 
2.1%
137903 8
 
2.1%
137881 8
 
2.1%
137858 7
 
1.9%
137828 7
 
1.9%
137806 7
 
1.9%
137974 6
 
1.6%
Other values (140) 293
77.5%
2024-05-11T06:26:38.087481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 467
20.1%
1 450
19.4%
3 446
19.2%
8 390
16.8%
0 121
 
5.2%
9 111
 
4.8%
6 101
 
4.4%
5 72
 
3.1%
4 59
 
2.5%
- 52
 
2.2%
Other values (2) 51
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2266
97.7%
Dash Punctuation 52
 
2.2%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 467
20.6%
1 450
19.9%
3 446
19.7%
8 390
17.2%
0 121
 
5.3%
9 111
 
4.9%
6 101
 
4.5%
5 72
 
3.2%
4 59
 
2.6%
2 49
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 467
20.1%
1 450
19.4%
3 446
19.2%
8 390
16.8%
0 121
 
5.2%
9 111
 
4.8%
6 101
 
4.4%
5 72
 
3.1%
4 59
 
2.5%
- 52
 
2.2%
Other values (2) 51
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 467
20.1%
1 450
19.4%
3 446
19.2%
8 390
16.8%
0 121
 
5.2%
9 111
 
4.8%
6 101
 
4.4%
5 72
 
3.1%
4 59
 
2.5%
- 52
 
2.2%
Other values (2) 51
 
2.2%

지번주소
Text

MISSING 

Distinct664
Distinct (%)88.1%
Missing10
Missing (%)1.3%
Memory size6.1 KiB
2024-05-11T06:26:38.684415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length24.679045
Min length15

Characters and Unicode

Total characters18608
Distinct characters244
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique584 ?
Unique (%)77.5%

Sample

1st row서울특별시 서초구 반포동 58번지 7호 101호
2nd row서울특별시 서초구 서초동 1697번지 1호
3rd row서울특별시 서초구 잠원동 24번지 23호 성일빌딩 104호
4th row서울특별시 서초구 반포동 709번지 8호 호산빌딩
5th row서울특별시 서초구 방배동 978번지 42호
ValueCountFrequency (%)
서울특별시 744
18.7%
서초구 744
18.7%
서초동 279
 
7.0%
방배동 164
 
4.1%
1층 114
 
2.9%
양재동 106
 
2.7%
1호 97
 
2.4%
반포동 96
 
2.4%
잠원동 61
 
1.5%
5호 45
 
1.1%
Other values (717) 1534
38.5%
2024-05-11T06:26:40.111033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3236
17.4%
서 1804
 
9.7%
1 1154
 
6.2%
초 1053
 
5.7%
동 767
 
4.1%
시 749
 
4.0%
구 747
 
4.0%
울 747
 
4.0%
별 744
 
4.0%
특 744
 
4.0%
Other values (234) 6863
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11258
60.5%
Decimal Number 3906
 
21.0%
Space Separator 3236
 
17.4%
Dash Punctuation 116
 
0.6%
Uppercase Letter 36
 
0.2%
Other Punctuation 28
 
0.2%
Lowercase Letter 23
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1804
16.0%
초 1053
9.4%
동 767
 
6.8%
시 749
 
6.7%
구 747
 
6.6%
울 747
 
6.6%
별 744
 
6.6%
특 744
 
6.6%
호 676
 
6.0%
지 638
 
5.7%
Other values (194) 2589
23.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
22.2%
B 7
19.4%
K 4
11.1%
I 3
 
8.3%
P 3
 
8.3%
S 2
 
5.6%
H 2
 
5.6%
R 2
 
5.6%
T 1
 
2.8%
J 1
 
2.8%
Other values (3) 3
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 1154
29.5%
3 442
 
11.3%
2 351
 
9.0%
7 337
 
8.6%
0 331
 
8.5%
5 307
 
7.9%
4 305
 
7.8%
6 272
 
7.0%
8 233
 
6.0%
9 174
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
e 3
13.0%
n 3
13.0%
g 2
8.7%
d 2
8.7%
l 2
8.7%
u 2
8.7%
b 2
8.7%
r 2
8.7%
h 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 27
96.4%
& 1
 
3.6%
Space Separator
ValueCountFrequency (%)
3236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11258
60.5%
Common 7291
39.2%
Latin 59
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1804
16.0%
초 1053
9.4%
동 767
 
6.8%
시 749
 
6.7%
구 747
 
6.6%
울 747
 
6.6%
별 744
 
6.6%
특 744
 
6.6%
호 676
 
6.0%
지 638
 
5.7%
Other values (194) 2589
23.0%
Latin
ValueCountFrequency (%)
A 8
 
13.6%
B 7
 
11.9%
i 4
 
6.8%
K 4
 
6.8%
e 3
 
5.1%
I 3
 
5.1%
P 3
 
5.1%
n 3
 
5.1%
S 2
 
3.4%
g 2
 
3.4%
Other values (13) 20
33.9%
Common
ValueCountFrequency (%)
3236
44.4%
1 1154
 
15.8%
3 442
 
6.1%
2 351
 
4.8%
7 337
 
4.6%
0 331
 
4.5%
5 307
 
4.2%
4 305
 
4.2%
6 272
 
3.7%
8 233
 
3.2%
Other values (7) 323
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11258
60.5%
ASCII 7350
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3236
44.0%
1 1154
 
15.7%
3 442
 
6.0%
2 351
 
4.8%
7 337
 
4.6%
0 331
 
4.5%
5 307
 
4.2%
4 305
 
4.1%
6 272
 
3.7%
8 233
 
3.2%
Other values (30) 382
 
5.2%
Hangul
ValueCountFrequency (%)
서 1804
16.0%
초 1053
9.4%
동 767
 
6.8%
시 749
 
6.7%
구 747
 
6.6%
울 747
 
6.6%
별 744
 
6.6%
특 744
 
6.6%
호 676
 
6.0%
지 638
 
5.7%
Other values (194) 2589
23.0%

도로명주소
Text

Distinct674
Distinct (%)88.8%
Missing5
Missing (%)0.7%
Memory size6.1 KiB
2024-05-11T06:26:40.725663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length31.870883
Min length21

Characters and Unicode

Total characters24190
Distinct characters302
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique605 ?
Unique (%)79.7%

Sample

1st row서울특별시 서초구 고무래로 6-3, 101호 (반포동)
2nd row서울특별시 서초구 서초중앙로28길 10 (서초동)
3rd row서울특별시 서초구 강남대로97길 51, 104호 (잠원동, 성일빌딩)
4th row서울특별시 서초구 사평대로55길 123, 1층 (반포동, 호산빌딩)
5th row서울특별시 서초구 효령로 79, 1층 (방배동)
ValueCountFrequency (%)
서울특별시 759
 
16.1%
서초구 759
 
16.1%
1층 370
 
7.8%
서초동 281
 
5.9%
방배동 165
 
3.5%
양재동 108
 
2.3%
반포동 96
 
2.0%
잠원동 60
 
1.3%
101호 52
 
1.1%
강남대로 32
 
0.7%
Other values (792) 2046
43.3%
2024-05-11T06:26:41.934122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3970
 
16.4%
서 2020
 
8.4%
1 1266
 
5.2%
초 1226
 
5.1%
동 840
 
3.5%
, 771
 
3.2%
시 766
 
3.2%
구 766
 
3.2%
울 762
 
3.2%
( 760
 
3.1%
Other values (292) 11043
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13829
57.2%
Space Separator 3970
 
16.4%
Decimal Number 3891
 
16.1%
Other Punctuation 773
 
3.2%
Open Punctuation 760
 
3.1%
Close Punctuation 760
 
3.1%
Dash Punctuation 127
 
0.5%
Uppercase Letter 62
 
0.3%
Lowercase Letter 15
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2020
14.6%
초 1226
 
8.9%
동 840
 
6.1%
시 766
 
5.5%
구 766
 
5.5%
울 762
 
5.5%
별 759
 
5.5%
특 759
 
5.5%
로 724
 
5.2%
길 514
 
3.7%
Other values (248) 4693
33.9%
Uppercase Letter
ValueCountFrequency (%)
B 13
21.0%
A 11
17.7%
R 6
9.7%
K 5
 
8.1%
P 4
 
6.5%
N 4
 
6.5%
I 4
 
6.5%
H 3
 
4.8%
T 2
 
3.2%
E 2
 
3.2%
Other values (6) 8
12.9%
Decimal Number
ValueCountFrequency (%)
1 1266
32.5%
2 464
 
11.9%
0 405
 
10.4%
3 395
 
10.2%
4 294
 
7.6%
5 263
 
6.8%
7 260
 
6.7%
6 218
 
5.6%
8 181
 
4.7%
9 145
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
r 2
13.3%
n 2
13.3%
i 2
13.3%
g 1
 
6.7%
d 1
 
6.7%
l 1
 
6.7%
u 1
 
6.7%
b 1
 
6.7%
h 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 771
99.7%
& 1
 
0.1%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3970
100.0%
Open Punctuation
ValueCountFrequency (%)
( 760
100.0%
Close Punctuation
ValueCountFrequency (%)
) 760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13829
57.2%
Common 10284
42.5%
Latin 77
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2020
14.6%
초 1226
 
8.9%
동 840
 
6.1%
시 766
 
5.5%
구 766
 
5.5%
울 762
 
5.5%
별 759
 
5.5%
특 759
 
5.5%
로 724
 
5.2%
길 514
 
3.7%
Other values (248) 4693
33.9%
Latin
ValueCountFrequency (%)
B 13
16.9%
A 11
14.3%
R 6
 
7.8%
K 5
 
6.5%
P 4
 
5.2%
N 4
 
5.2%
I 4
 
5.2%
e 3
 
3.9%
H 3
 
3.9%
T 2
 
2.6%
Other values (16) 22
28.6%
Common
ValueCountFrequency (%)
3970
38.6%
1 1266
 
12.3%
, 771
 
7.5%
( 760
 
7.4%
) 760
 
7.4%
2 464
 
4.5%
0 405
 
3.9%
3 395
 
3.8%
4 294
 
2.9%
5 263
 
2.6%
Other values (8) 936
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13829
57.2%
ASCII 10361
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3970
38.3%
1 1266
 
12.2%
, 771
 
7.4%
( 760
 
7.3%
) 760
 
7.3%
2 464
 
4.5%
0 405
 
3.9%
3 395
 
3.8%
4 294
 
2.8%
5 263
 
2.5%
Other values (34) 1013
 
9.8%
Hangul
ValueCountFrequency (%)
서 2020
14.6%
초 1226
 
8.9%
동 840
 
6.1%
시 766
 
5.5%
구 766
 
5.5%
울 762
 
5.5%
별 759
 
5.5%
특 759
 
5.5%
로 724
 
5.2%
길 514
 
3.7%
Other values (248) 4693
33.9%

도로명우편번호
Real number (ℝ)

Distinct268
Distinct (%)35.4%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean22421.888
Minimum6500
Maximum137974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T06:26:42.377941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6500
5-th percentile6526
Q16586
median6661
Q36763
95-th percentile137873
Maximum137974
Range131474
Interquartile range (IQR)177

Descriptive statistics

Standard deviation42693.906
Coefficient of variation (CV)1.9041174
Kurtosis3.4862036
Mean22421.888
Median Absolute Deviation (MAD)86
Skewness2.3402898
Sum16973369
Variance1.8227696 × 109
MonotonicityNot monotonic
2024-05-11T06:26:42.864117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6615 12
 
1.6%
6627 11
 
1.4%
6621 10
 
1.3%
6693 9
 
1.2%
6798 8
 
1.0%
6526 8
 
1.0%
6611 8
 
1.0%
6776 8
 
1.0%
6643 8
 
1.0%
6593 7
 
0.9%
Other values (258) 668
87.4%
ValueCountFrequency (%)
6500 6
0.8%
6501 1
 
0.1%
6502 1
 
0.1%
6506 4
0.5%
6509 3
0.4%
6510 2
 
0.3%
6513 1
 
0.1%
6515 2
 
0.3%
6516 1
 
0.1%
6517 1
 
0.1%
ValueCountFrequency (%)
137974 4
0.5%
137960 1
 
0.1%
137935 1
 
0.1%
137906 2
0.3%
137905 2
0.3%
137903 3
0.4%
137899 1
 
0.1%
137898 1
 
0.1%
137896 3
0.4%
137895 1
 
0.1%

사업장명
Text

Distinct638
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-11T06:26:43.410617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.628272
Min length3

Characters and Unicode

Total characters8120
Distinct characters296
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

Unique538 ?
Unique (%)70.4%

Sample

1st row미니스톱반포삼공점
2nd row씨유삼풍중앙점
3rd row지에스25잠원중앙점
4th row세븐일레븐반포공원점
5th row지에스25방배대우점
ValueCountFrequency (%)
주)코리아세븐 63
 
7.1%
씨유 19
 
2.1%
세븐일레븐 12
 
1.3%
지에스25 9
 
1.0%
지에스(gs)25 5
 
0.6%
지에스25(gs25 5
 
0.6%
지에스25양재구룡점 5
 
0.6%
지에스25양재공원점 4
 
0.4%
지에스25잠원강남 4
 
0.4%
지에스25잠원하나점 4
 
0.4%
Other values (635) 759
85.4%
2024-05-11T06:26:44.530615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 703
 
8.7%
스 376
 
4.6%
서 326
 
4.0%
2 302
 
3.7%
에 297
 
3.7%
지 291
 
3.6%
5 276
 
3.4%
초 276
 
3.4%
븐 237
 
2.9%
씨 209
 
2.6%
Other values (286) 4827
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6849
84.3%
Decimal Number 663
 
8.2%
Open Punctuation 199
 
2.5%
Close Punctuation 199
 
2.5%
Space Separator 125
 
1.5%
Uppercase Letter 83
 
1.0%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 703
 
10.3%
스 376
 
5.5%
서 326
 
4.8%
에 297
 
4.3%
지 291
 
4.2%
초 276
 
4.0%
븐 237
 
3.5%
씨 209
 
3.1%
유 206
 
3.0%
주 176
 
2.6%
Other values (264) 3752
54.8%
Decimal Number
ValueCountFrequency (%)
2 302
45.6%
5 276
41.6%
1 30
 
4.5%
4 26
 
3.9%
7 9
 
1.4%
6 7
 
1.1%
3 5
 
0.8%
9 3
 
0.5%
0 3
 
0.5%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
S 37
44.6%
G 35
42.2%
R 4
 
4.8%
H 2
 
2.4%
L 2
 
2.4%
U 1
 
1.2%
C 1
 
1.2%
T 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 199
100.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6849
84.3%
Common 1186
 
14.6%
Latin 85
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 703
 
10.3%
스 376
 
5.5%
서 326
 
4.8%
에 297
 
4.3%
지 291
 
4.2%
초 276
 
4.0%
븐 237
 
3.5%
씨 209
 
3.1%
유 206
 
3.0%
주 176
 
2.6%
Other values (264) 3752
54.8%
Common
ValueCountFrequency (%)
2 302
25.5%
5 276
23.3%
( 199
16.8%
) 199
16.8%
125
10.5%
1 30
 
2.5%
4 26
 
2.2%
7 9
 
0.8%
6 7
 
0.6%
3 5
 
0.4%
Other values (3) 8
 
0.7%
Latin
ValueCountFrequency (%)
S 37
43.5%
G 35
41.2%
R 4
 
4.7%
e 2
 
2.4%
H 2
 
2.4%
L 2
 
2.4%
U 1
 
1.2%
C 1
 
1.2%
T 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6849
84.3%
ASCII 1271
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 703
 
10.3%
스 376
 
5.5%
서 326
 
4.8%
에 297
 
4.3%
지 291
 
4.2%
초 276
 
4.0%
븐 237
 
3.5%
씨 209
 
3.1%
유 206
 
3.0%
주 176
 
2.6%
Other values (264) 3752
54.8%
ASCII
ValueCountFrequency (%)
2 302
23.8%
5 276
21.7%
( 199
15.7%
) 199
15.7%
125
9.8%
S 37
 
2.9%
G 35
 
2.8%
1 30
 
2.4%
4 26
 
2.0%
7 9
 
0.7%
Other values (12) 33
 
2.6%

최종수정일자
Date

UNIQUE 

Distinct764
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2013-07-16 09:21:27
Maximum2024-05-09 16:12:18
2024-05-11T06:26:45.024822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:26:45.397855image/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 size6.1 KiB
I
435 
U
329 

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 435
56.9%
U 329
43.1%

Length

2024-05-11T06:26:45.801965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:26:46.084091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 435
56.9%
u 329
43.1%

데이터갱신일자
Date

Distinct309
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T06:26:46.420668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:26:46.863934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing764
Missing (%)100.0%
Memory size6.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct505
Distinct (%)66.6%
Missing6
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean201287.52
Minimum198344.76
Maximum205570.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T06:26:47.289941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198344.76
5-th percentile198539.12
Q1199940.62
median201463.69
Q3202317.41
95-th percentile203925.94
Maximum205570.09
Range7225.3318
Interquartile range (IQR)2376.7931

Descriptive statistics

Standard deviation1675.7781
Coefficient of variation (CV)0.0083252956
Kurtosis-0.61370394
Mean201287.52
Median Absolute Deviation (MAD)1040.1813
Skewness0.016358438
Sum1.5257594 × 108
Variance2808232.1
MonotonicityNot monotonic
2024-05-11T06:26:47.734850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202176.459585279 6
 
0.8%
202038.69416884 5
 
0.7%
203767.925000914 5
 
0.7%
201390.331457478 5
 
0.7%
199238.058555507 4
 
0.5%
201529.037866706 4
 
0.5%
198432.354182494 4
 
0.5%
203589.242444604 4
 
0.5%
202580.12152321 4
 
0.5%
201125.516628452 4
 
0.5%
Other values (495) 713
93.3%
(Missing) 6
 
0.8%
ValueCountFrequency (%)
198344.761390706 1
 
0.1%
198351.955 1
 
0.1%
198358.536839066 1
 
0.1%
198364.994691704 1
 
0.1%
198389.022273532 2
0.3%
198394.433265008 2
0.3%
198410.876785104 1
 
0.1%
198420.529183765 1
 
0.1%
198429.068124585 1
 
0.1%
198432.354182494 4
0.5%
ValueCountFrequency (%)
205570.093214399 1
 
0.1%
205525.422778498 2
0.3%
205329.561120927 2
0.3%
205231.176713429 1
 
0.1%
205146.870107636 2
0.3%
205145.303454593 2
0.3%
205002.866785208 1
 
0.1%
204921.170288976 3
0.4%
204917.350884108 1
 
0.1%
204833.349826117 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct505
Distinct (%)66.6%
Missing6
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean442973.76
Minimum438247.94
Maximum446565.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T06:26:48.017890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438247.94
5-th percentile440281.41
Q1442091.58
median442938.64
Q3444002.23
95-th percentile445496.85
Maximum446565.03
Range8317.0882
Interquartile range (IQR)1910.6496

Descriptive statistics

Standard deviation1546.7723
Coefficient of variation (CV)0.0034917921
Kurtosis0.015392638
Mean442973.76
Median Absolute Deviation (MAD)984.50552
Skewness-0.19917218
Sum3.3577411 × 108
Variance2392504.5
MonotonicityNot monotonic
2024-05-11T06:26:48.391539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444069.8806701 6
 
0.8%
442514.169336566 5
 
0.7%
440760.638333247 5
 
0.7%
445461.638939453 5
 
0.7%
443453.070279827 4
 
0.5%
439470.889363188 4
 
0.5%
442643.16392201 4
 
0.5%
440984.075596192 4
 
0.5%
442504.857274177 4
 
0.5%
443087.049015724 4
 
0.5%
Other values (495) 713
93.3%
(Missing) 6
 
0.8%
ValueCountFrequency (%)
438247.940519369 1
 
0.1%
438463.510444768 1
 
0.1%
438685.126668674 1
 
0.1%
438907.277212806 1
 
0.1%
438918.090853339 3
0.4%
439181.825257587 2
0.3%
439203.513241342 2
0.3%
439208.962102822 2
0.3%
439241.118196373 2
0.3%
439261.37081518 1
 
0.1%
ValueCountFrequency (%)
446565.028672992 1
0.1%
446331.380046658 1
0.1%
446312.955196265 1
0.1%
446247.719636035 1
0.1%
446206.354902748 2
0.3%
446071.552127846 2
0.3%
445992.459343379 1
0.1%
445992.245772604 1
0.1%
445971.21278915 2
0.3%
445946.899831444 1
0.1%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct110
Distinct (%)49.3%
Missing541
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean326.60628
Minimum0
Maximum58361
Zeros20
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T06:26:49.055026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142.99
median60
Q381.06
95-th percentile132.9
Maximum58361
Range58361
Interquartile range (IQR)38.07

Descriptive statistics

Standard deviation3904.0248
Coefficient of variation (CV)11.953306
Kurtosis222.94242
Mean326.60628
Median Absolute Deviation (MAD)20
Skewness14.93031
Sum72833.2
Variance15241410
MonotonicityNot monotonic
2024-05-11T06:26:49.494508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
2.6%
66.0 19
 
2.5%
33.0 10
 
1.3%
49.5 7
 
0.9%
52.8 6
 
0.8%
60.0 6
 
0.8%
59.4 6
 
0.8%
82.5 5
 
0.7%
59.0 4
 
0.5%
50.0 4
 
0.5%
Other values (100) 136
 
17.8%
(Missing) 541
70.8%
ValueCountFrequency (%)
0.0 20
2.6%
5.0 1
 
0.1%
6.0 1
 
0.1%
24.0 1
 
0.1%
29.7 3
 
0.4%
32.0 1
 
0.1%
33.0 10
1.3%
34.0 1
 
0.1%
35.0 1
 
0.1%
35.84 1
 
0.1%
ValueCountFrequency (%)
58361.0 1
0.1%
424.79 1
0.1%
206.0 1
0.1%
181.0 1
0.1%
180.0 1
0.1%
166.0 1
0.1%
165.0 1
0.1%
158.0 1
0.1%
157.0 1
0.1%
145.2 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03210000PHMH32012321003408750000120121109<NA>3폐업3폐업20180531<NA><NA><NA>02-595-3624<NA>137803서울특별시 서초구 반포동 58번지 7호 101호서울특별시 서초구 고무래로 6-3, 101호 (반포동)6593미니스톱반포삼공점2018-05-31 17:49:30I2018-08-31 23:59:59.0<NA>200802.012148444616.351634<NA>
13210000PHMH32012321003408750000220121106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3478-0171<NA>137883서울특별시 서초구 서초동 1697번지 1호서울특별시 서초구 서초중앙로28길 10 (서초동)6604씨유삼풍중앙점2013-07-20 17:25:08I2018-08-31 23:59:59.0<NA>201196.372596443842.273375<NA>
23210000PHMH32012321003408750000320121106<NA>3폐업3폐업20171213<NA><NA><NA><NA><NA>137903서울특별시 서초구 잠원동 24번지 23호 성일빌딩 104호서울특별시 서초구 강남대로97길 51, 104호 (잠원동, 성일빌딩)6527지에스25잠원중앙점2017-12-13 17:24:37I2018-08-31 23:59:59.0<NA>201423.095916445747.055018<NA>
33210000PHMH32012321003408750000420121106<NA>3폐업3폐업20140527<NA><NA><NA>070-7116-1666<NA>137808서울특별시 서초구 반포동 709번지 8호 호산빌딩서울특별시 서초구 사평대로55길 123, 1층 (반포동, 호산빌딩)137808세븐일레븐반포공원점2014-05-27 17:24:50I2018-08-31 23:59:59.0<NA>201728.921505445223.619966<NA>
43210000PHMH32012321003408750000520121106<NA>4취소/말소/만료/정지/중지24직권폐업20180824<NA><NA><NA><NA><NA>137847서울특별시 서초구 방배동 978번지 42호서울특별시 서초구 효령로 79, 1층 (방배동)6688지에스25방배대우점2018-08-27 09:49:49I2018-08-31 23:59:59.0<NA>199307.919782441998.710522<NA>
53210000PHMH32012321003408750000620121106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-585-2243<NA>137874서울특별시 서초구 서초동 1571번지 5호서울특별시 서초구 반포대로28길 63 (서초동)6645씨유서초남양점2013-07-20 14:46:51I2018-08-31 23:59:59.0<NA>200969.63126443277.956764<NA>
63210000PHMH32012321003408750000720121106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-579-7602<NA>137886서울특별시 서초구 양재동 5번지 8호서울특별시 서초구 논현로31길 63 (양재동)6745지에스25양재현대2022-09-23 15:15:50U2021-12-08 22:05:00.0<NA>203515.938527441983.705306<NA>
73210000PHMH32012321003408750000820121106<NA>3폐업3폐업20140501<NA><NA><NA><NA><NA>137834서울특별시 서초구 방배동 830번지 3호서울특별시 서초구 방배천로 160, 101호 (방배동)137834지에스25방배고려점2014-05-01 18:03:42I2018-08-31 23:59:59.0<NA>198824.369993443011.471596<NA>
83210000PHMH32012321003408750000920121106<NA>4취소/말소/만료/정지/중지24직권폐업20171110<NA><NA><NA>02-532-9074<NA>137832서울특별시 서초구 방배동 819번지 32호서울특별시 서초구 방배로31길 54, 1층 (방배동, 미진빌딩)6563씨유서초방배점2017-11-10 17:25:54I2018-08-31 23:59:59.0<NA>198935.797603443096.564616<NA>
93210000PHMH32012321003408750001020121106<NA>3폐업3폐업20170620<NA><NA><NA><NA><NA>137888서울특별시 서초구 양재동 20번지 29호서울특별시 서초구 강남대로 156-2 (양재동, 은성빌딩)6744지에스25양재은성2017-06-21 18:17:22I2018-08-31 23:59:59.0<NA>203387.555054441822.527271<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
7543210000PHMH3202432100340875000012024-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 92-10 포도빌딩서울특별시 서초구 서래로8길 7, 1층 (반포동)6577씨유 서초서래마을점2024-01-11 09:01:32I2023-11-30 23:03:00.0<NA>199836.00778444059.386774<NA>
7553210000PHMH3202432100340875000022024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1471-17서울특별시 서초구 남부순환로317길 31 (서초동)6712지에스(GS)25 서초악기거리점2024-02-14 09:09:35I2023-12-01 23:06:00.0<NA>200852.780571442086.609198<NA>
7563210000PHMH3202432100340875000032024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 777-17서울특별시 서초구 방배로37길 50, 1층 (방배동)6557씨유서초방배점2024-02-16 10:49:02I2023-12-01 23:08:00.0<NA>198788.941703443416.494256<NA>
7573210000PHMH3202432100340875000042024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 내곡동 378 내곡플라자서울특별시 서초구 헌릉로8길 9-8, 내곡플라자 102호,103호 (내곡동)6800지에스25 내곡플라자2024-02-26 09:50:00I2023-12-01 22:08:00.0<NA>205231.176713439394.770402<NA>
7583210000PHMH3202432100340875000052024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 72-3 태남홀딩스서울특별시 서초구 잠원로3길 40, 태남홀딩스 102호,103일부호 (잠원동)6510씨유 서초그린점2024-03-13 09:23:39I2023-12-02 23:05:00.0<NA>200258.046491445103.708669<NA>
7593210000PHMH3202432100340875000062024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 44-1 우정빌딩서울특별시 서초구 신반포로41길 32, 우정빌딩 1층 (잠원동)6529지에스25 잠원아이비점2024-03-18 09:52:28I2023-12-02 22:00:00.0<NA>201390.331457445461.638939<NA>
7603210000PHMH3202432100340875000072024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 918-1 하나빌서울특별시 서초구 방배중앙로 18, 하나빌 1층 일부호 (방배동)6687씨유 방배중앙로점2024-03-26 11:18:16I2023-12-02 22:08:00.0<NA>199299.99769442165.404369<NA>
7613210000PHMH3202432100340875000082024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 0 원베일리 스퀘어서울특별시 서초구 반포대로 291, 원베일리 스퀘어 109A,110호 (반포동)6506씨유 반포원베일리점2024-04-09 13:12:07I2023-12-03 23:01:00.0<NA><NA><NA><NA>
7623210000PHMH3202432100340875000092024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1311-7 삼호종합상가서울특별시 서초구 서운로 207, 삼호종합상가 1층 101호 (서초동)6608씨유 서초써밋점2024-04-25 15:09:59I2023-12-03 22:07:00.0<NA>201848.848061444363.963062<NA>
7633210000PHMH3202432100340875000102024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1635-6서울특별시 서초구 서초대로64길 55, 1층 (서초동)6636지에스25 서초아남점2024-04-30 14:07:57I2023-12-05 00:02:00.0<NA>201837.35747443456.746655<NA>