Overview

Dataset statistics

Number of variables26
Number of observations941
Missing cells8113
Missing cells (%)33.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory203.2 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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16301/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 941 (100.0%) missing valuesMissing
폐업일자 has 398 (42.3%) missing valuesMissing
휴업시작일자 has 941 (100.0%) missing valuesMissing
휴업종료일자 has 941 (100.0%) missing valuesMissing
재개업일자 has 941 (100.0%) missing valuesMissing
전화번호 has 614 (65.2%) missing valuesMissing
소재지면적 has 941 (100.0%) missing valuesMissing
소재지우편번호 has 637 (67.7%) missing valuesMissing
지번주소 has 153 (16.3%) missing valuesMissing
업태구분명 has 941 (100.0%) missing valuesMissing
좌표정보(X) has 22 (2.3%) missing valuesMissing
좌표정보(Y) has 22 (2.3%) missing valuesMissing
판매점영업면적 has 617 (65.6%) 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 26 (2.8%) zerosZeros

Reproduction

Analysis started2024-04-06 11:26:48.601627
Analysis finished2024-04-06 11:26:49.786357
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
3150000
941 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 941
100.0%

Length

2024-04-06T20:26:49.903507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:26:50.021307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 941
100.0%

관리번호
Text

UNIQUE 

Distinct941
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-06T20:26:50.299635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters23525
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

Unique941 ?
Unique (%)100.0%

Sample

1st rowPHMH320113150037087500001
2nd rowPHMH320123150037087500001
3rd rowPHMH320123150037087500002
4th rowPHMH320123150037087500003
5th rowPHMH320123150037087500004
ValueCountFrequency (%)
phmh320113150037087500001 1
 
0.1%
phmh320183150037087500061 1
 
0.1%
phmh320183150037087500075 1
 
0.1%
phmh320183150037087500050 1
 
0.1%
phmh320183150037087500051 1
 
0.1%
phmh320183150037087500052 1
 
0.1%
phmh320183150037087500053 1
 
0.1%
phmh320183150037087500054 1
 
0.1%
phmh320183150037087500055 1
 
0.1%
phmh320183150037087500056 1
 
0.1%
Other values (931) 931
98.9%
2024-04-06T20:26:50.804460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6751
28.7%
3 3189
13.6%
5 2141
 
9.1%
7 2140
 
9.1%
1 2056
 
8.7%
H 1882
 
8.0%
2 1613
 
6.9%
8 1142
 
4.9%
P 941
 
4.0%
M 941
 
4.0%
Other values (3) 729
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19761
84.0%
Uppercase Letter 3764
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6751
34.2%
3 3189
16.1%
5 2141
 
10.8%
7 2140
 
10.8%
1 2056
 
10.4%
2 1613
 
8.2%
8 1142
 
5.8%
4 278
 
1.4%
6 258
 
1.3%
9 193
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
H 1882
50.0%
P 941
25.0%
M 941
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19761
84.0%
Latin 3764
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6751
34.2%
3 3189
16.1%
5 2141
 
10.8%
7 2140
 
10.8%
1 2056
 
10.4%
2 1613
 
8.2%
8 1142
 
5.8%
4 278
 
1.4%
6 258
 
1.3%
9 193
 
1.0%
Latin
ValueCountFrequency (%)
H 1882
50.0%
P 941
25.0%
M 941
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6751
28.7%
3 3189
13.6%
5 2141
 
9.1%
7 2140
 
9.1%
1 2056
 
8.7%
H 1882
 
8.0%
2 1613
 
6.9%
8 1142
 
4.9%
P 941
 
4.0%
M 941
 
4.0%
Other values (3) 729
 
3.1%

인허가일자
Date

Distinct639
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2011-11-05 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T20:26:51.049327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:26:51.335135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
3
530 
1
398 
4
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 530
56.3%
1 398
42.3%
4 13
 
1.4%

Length

2024-04-06T20:26:51.903321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:26:52.111915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 530
56.3%
1 398
42.3%
4 13
 
1.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
폐업
530 
영업/정상
398 
취소/말소/만료/정지/중지
 
13

Length

Max length14
Median length2
Mean length3.434644
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 530
56.3%
영업/정상 398
42.3%
취소/말소/만료/정지/중지 13
 
1.4%

Length

2024-04-06T20:26:52.330807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:26:52.551215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 530
56.3%
영업/정상 398
42.3%
취소/말소/만료/정지/중지 13
 
1.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
3
530 
13
398 
24
 
13

Length

Max length2
Median length1
Mean length1.4367694
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 530
56.3%
13 398
42.3%
24 13
 
1.4%

Length

2024-04-06T20:26:52.804521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:26:52.977099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 530
56.3%
13 398
42.3%
24 13
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
폐업
530 
영업중
398 
직권폐업
 
13

Length

Max length4
Median length2
Mean length2.4505845
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 530
56.3%
영업중 398
42.3%
직권폐업 13
 
1.4%

Length

2024-04-06T20:26:53.185209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:26:53.353334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 530
56.3%
영업중 398
42.3%
직권폐업 13
 
1.4%

폐업일자
Date

MISSING 

Distinct460
Distinct (%)84.7%
Missing398
Missing (%)42.3%
Memory size7.5 KiB
Minimum2012-11-16 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T20:26:53.566579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:26:53.806588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

전화번호
Text

MISSING 

Distinct289
Distinct (%)88.4%
Missing614
Missing (%)65.2%
Memory size7.5 KiB
2024-04-06T20:26:54.346786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.412844
Min length8

Characters and Unicode

Total characters3078
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

Unique254 ?
Unique (%)77.7%

Sample

1st row2694-4831
2nd row2601-3855
3rd row2665-2144
4th row2644-8104
5th row2601-8104
ValueCountFrequency (%)
3662-8689 3
 
0.9%
070-4117-3513 3
 
0.9%
2667-6969 3
 
0.9%
2658-3263 2
 
0.6%
2665-5031 2
 
0.6%
2605-1919 2
 
0.6%
2605-9652 2
 
0.6%
2661-2026 2
 
0.6%
2608-2553 2
 
0.6%
2064-1638 2
 
0.6%
Other values (279) 304
93.0%
2024-04-06T20:26:55.071528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 618
20.1%
2 459
14.9%
- 364
11.8%
0 292
9.5%
3 242
 
7.9%
5 219
 
7.1%
9 210
 
6.8%
4 179
 
5.8%
8 171
 
5.6%
1 169
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2714
88.2%
Dash Punctuation 364
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 618
22.8%
2 459
16.9%
0 292
10.8%
3 242
 
8.9%
5 219
 
8.1%
9 210
 
7.7%
4 179
 
6.6%
8 171
 
6.3%
1 169
 
6.2%
7 155
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 618
20.1%
2 459
14.9%
- 364
11.8%
0 292
9.5%
3 242
 
7.9%
5 219
 
7.1%
9 210
 
6.8%
4 179
 
5.8%
8 171
 
5.6%
1 169
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 618
20.1%
2 459
14.9%
- 364
11.8%
0 292
9.5%
3 242
 
7.9%
5 219
 
7.1%
9 210
 
6.8%
4 179
 
5.8%
8 171
 
5.6%
1 169
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

소재지우편번호
Text

MISSING 

Distinct113
Distinct (%)37.2%
Missing637
Missing (%)67.7%
Memory size7.5 KiB
2024-04-06T20:26:55.558466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0592105
Min length5

Characters and Unicode

Total characters1842
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

Unique54 ?
Unique (%)17.8%

Sample

1st row157280
2nd row157924
3rd row157836
4th row157881
5th row157833
ValueCountFrequency (%)
157930 18
 
5.9%
157910 11
 
3.6%
157928 10
 
3.3%
157812 9
 
3.0%
157280 8
 
2.6%
157846 8
 
2.6%
157836 8
 
2.6%
157010 7
 
2.3%
157918 6
 
2.0%
157201 6
 
2.0%
Other values (103) 213
70.1%
2024-04-06T20:26:56.347730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 402
21.8%
7 355
19.3%
5 344
18.7%
8 207
11.2%
9 132
 
7.2%
0 132
 
7.2%
2 82
 
4.5%
3 66
 
3.6%
6 50
 
2.7%
4 48
 
2.6%
Other values (2) 24
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1818
98.7%
Dash Punctuation 19
 
1.0%
Space Separator 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 402
22.1%
7 355
19.5%
5 344
18.9%
8 207
11.4%
9 132
 
7.3%
0 132
 
7.3%
2 82
 
4.5%
3 66
 
3.6%
6 50
 
2.8%
4 48
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1842
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 402
21.8%
7 355
19.3%
5 344
18.7%
8 207
11.2%
9 132
 
7.2%
0 132
 
7.2%
2 82
 
4.5%
3 66
 
3.6%
6 50
 
2.7%
4 48
 
2.6%
Other values (2) 24
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 402
21.8%
7 355
19.3%
5 344
18.7%
8 207
11.2%
9 132
 
7.2%
0 132
 
7.2%
2 82
 
4.5%
3 66
 
3.6%
6 50
 
2.7%
4 48
 
2.6%
Other values (2) 24
 
1.3%

지번주소
Text

MISSING 

Distinct643
Distinct (%)81.6%
Missing153
Missing (%)16.3%
Memory size7.5 KiB
2024-04-06T20:26:56.946241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length23.579949
Min length10

Characters and Unicode

Total characters18581
Distinct characters257
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

Unique523 ?
Unique (%)66.4%

Sample

1st row서울특별시 강서구 내발산동 653번지
2nd row서울특별시 강서구 화곡동 1068번지
3rd row서울특별시 강서구 공항동 53번지 15호
4th row서울특별시 강서구 등촌동 512번지 7호
5th row서울특별시 강서구 화곡동 348번지 23호
ValueCountFrequency (%)
서울특별시 786
20.3%
강서구 786
20.3%
화곡동 294
 
7.6%
등촌동 115
 
3.0%
마곡동 101
 
2.6%
방화동 86
 
2.2%
1호 58
 
1.5%
공항동 51
 
1.3%
내발산동 51
 
1.3%
가양동 48
 
1.2%
Other values (789) 1505
38.8%
2024-04-06T20:26:57.696216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3093
16.6%
서 1587
 
8.5%
동 814
 
4.4%
강 811
 
4.4%
시 796
 
4.3%
울 790
 
4.3%
특 786
 
4.2%
별 786
 
4.2%
구 786
 
4.2%
1 672
 
3.6%
Other values (247) 7660
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11828
63.7%
Decimal Number 3479
 
18.7%
Space Separator 3093
 
16.6%
Dash Punctuation 152
 
0.8%
Uppercase Letter 11
 
0.1%
Other Punctuation 7
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Letter Number 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1587
13.4%
동 814
 
6.9%
강 811
 
6.9%
시 796
 
6.7%
울 790
 
6.7%
특 786
 
6.6%
별 786
 
6.6%
구 786
 
6.6%
지 612
 
5.2%
번 574
 
4.9%
Other values (218) 3486
29.5%
Decimal Number
ValueCountFrequency (%)
1 672
19.3%
6 363
10.4%
7 357
10.3%
2 352
10.1%
3 338
9.7%
8 299
8.6%
5 294
8.5%
4 291
8.4%
0 257
 
7.4%
9 256
 
7.4%
Uppercase Letter
ValueCountFrequency (%)
W 2
18.2%
A 2
18.2%
R 1
9.1%
E 1
9.1%
O 1
9.1%
T 1
9.1%
M 1
9.1%
K 1
9.1%
C 1
9.1%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3093
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11828
63.7%
Common 6737
36.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1587
13.4%
동 814
 
6.9%
강 811
 
6.9%
시 796
 
6.7%
울 790
 
6.7%
특 786
 
6.6%
별 786
 
6.6%
구 786
 
6.6%
지 612
 
5.2%
번 574
 
4.9%
Other values (218) 3486
29.5%
Common
ValueCountFrequency (%)
3093
45.9%
1 672
 
10.0%
6 363
 
5.4%
7 357
 
5.3%
2 352
 
5.2%
3 338
 
5.0%
8 299
 
4.4%
5 294
 
4.4%
4 291
 
4.3%
0 257
 
3.8%
Other values (6) 421
 
6.2%
Latin
ValueCountFrequency (%)
W 2
12.5%
A 2
12.5%
e 2
12.5%
Ⅳ 1
 
6.2%
R 1
 
6.2%
E 1
 
6.2%
O 1
 
6.2%
T 1
 
6.2%
M 1
 
6.2%
K 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11828
63.7%
ASCII 6750
36.3%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3093
45.8%
1 672
 
10.0%
6 363
 
5.4%
7 357
 
5.3%
2 352
 
5.2%
3 338
 
5.0%
8 299
 
4.4%
5 294
 
4.4%
4 291
 
4.3%
0 257
 
3.8%
Other values (16) 434
 
6.4%
Hangul
ValueCountFrequency (%)
서 1587
13.4%
동 814
 
6.9%
강 811
 
6.9%
시 796
 
6.7%
울 790
 
6.7%
특 786
 
6.6%
별 786
 
6.6%
구 786
 
6.6%
지 612
 
5.2%
번 574
 
4.9%
Other values (218) 3486
29.5%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%

도로명주소
Text

Distinct780
Distinct (%)83.1%
Missing2
Missing (%)0.2%
Memory size7.5 KiB
2024-04-06T20:26:58.157484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length32.206603
Min length22

Characters and Unicode

Total characters30242
Distinct characters305
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

Unique648 ?
Unique (%)69.0%

Sample

1st row서울특별시 강서구 강서로 360 (내발산동)
2nd row서울특별시 강서구 강서로33길 103 (화곡동)
3rd row서울특별시 강서구 송정로 70, 1층 (공항동)
4th row서울특별시 강서구 등촌로39길 6 (등촌동)
5th row서울특별시 강서구 강서로17길 29 (화곡동)
ValueCountFrequency (%)
서울특별시 939
 
16.1%
강서구 939
 
16.1%
화곡동 348
 
6.0%
1층 313
 
5.4%
마곡동 134
 
2.3%
등촌동 126
 
2.2%
방화동 108
 
1.9%
101호 68
 
1.2%
공항대로 61
 
1.0%
공항동 60
 
1.0%
Other values (872) 2732
46.9%
2024-04-06T20:26:58.853286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4889
 
16.2%
서 2114
 
7.0%
1 1519
 
5.0%
강 1163
 
3.8%
동 1110
 
3.7%
시 963
 
3.2%
로 958
 
3.2%
울 945
 
3.1%
( 944
 
3.1%
) 944
 
3.1%
Other values (295) 14693
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17698
58.5%
Space Separator 4889
 
16.2%
Decimal Number 4830
 
16.0%
Open Punctuation 944
 
3.1%
Close Punctuation 944
 
3.1%
Other Punctuation 814
 
2.7%
Dash Punctuation 67
 
0.2%
Uppercase Letter 46
 
0.2%
Letter Number 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2114
 
11.9%
강 1163
 
6.6%
동 1110
 
6.3%
시 963
 
5.4%
로 958
 
5.4%
울 945
 
5.3%
특 939
 
5.3%
구 939
 
5.3%
별 939
 
5.3%
곡 752
 
4.2%
Other values (260) 6876
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 14
30.4%
A 13
28.3%
E 3
 
6.5%
C 3
 
6.5%
O 2
 
4.3%
W 2
 
4.3%
K 2
 
4.3%
L 1
 
2.2%
S 1
 
2.2%
Z 1
 
2.2%
Other values (4) 4
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 1519
31.4%
0 539
 
11.2%
2 483
 
10.0%
3 432
 
8.9%
4 407
 
8.4%
5 362
 
7.5%
6 320
 
6.6%
7 300
 
6.2%
8 265
 
5.5%
9 203
 
4.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅱ 2
40.0%
Ⅳ 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 812
99.8%
& 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4889
100.0%
Open Punctuation
ValueCountFrequency (%)
( 944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17698
58.5%
Common 12490
41.3%
Latin 54
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2114
 
11.9%
강 1163
 
6.6%
동 1110
 
6.3%
시 963
 
5.4%
로 958
 
5.4%
울 945
 
5.3%
특 939
 
5.3%
구 939
 
5.3%
별 939
 
5.3%
곡 752
 
4.2%
Other values (260) 6876
38.9%
Latin
ValueCountFrequency (%)
B 14
25.9%
A 13
24.1%
e 3
 
5.6%
E 3
 
5.6%
C 3
 
5.6%
Ⅰ 2
 
3.7%
O 2
 
3.7%
W 2
 
3.7%
K 2
 
3.7%
Ⅱ 2
 
3.7%
Other values (8) 8
14.8%
Common
ValueCountFrequency (%)
4889
39.1%
1 1519
 
12.2%
( 944
 
7.6%
) 944
 
7.6%
, 812
 
6.5%
0 539
 
4.3%
2 483
 
3.9%
3 432
 
3.5%
4 407
 
3.3%
5 362
 
2.9%
Other values (7) 1159
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17698
58.5%
ASCII 12539
41.5%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4889
39.0%
1 1519
 
12.1%
( 944
 
7.5%
) 944
 
7.5%
, 812
 
6.5%
0 539
 
4.3%
2 483
 
3.9%
3 432
 
3.4%
4 407
 
3.2%
5 362
 
2.9%
Other values (22) 1208
 
9.6%
Hangul
ValueCountFrequency (%)
서 2114
 
11.9%
강 1163
 
6.6%
동 1110
 
6.3%
시 963
 
5.4%
로 958
 
5.4%
울 945
 
5.3%
특 939
 
5.3%
구 939
 
5.3%
별 939
 
5.3%
곡 752
 
4.2%
Other values (260) 6876
38.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅱ 2
40.0%
Ⅳ 1
20.0%

도로명우편번호
Real number (ℝ)

Distinct284
Distinct (%)30.2%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean25403.387
Minimum7504
Maximum157937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-06T20:26:59.082225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7504
5-th percentile7522
Q17592
median7677
Q37778
95-th percentile157861
Maximum157937
Range150433
Interquartile range (IQR)186

Descriptive statistics

Standard deviation48486.198
Coefficient of variation (CV)1.9086509
Kurtosis3.6192157
Mean25403.387
Median Absolute Deviation (MAD)94
Skewness2.3688493
Sum23853780
Variance2.3509114 × 109
MonotonicityNot monotonic
2024-04-06T20:26:59.316541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7788 21
 
2.2%
7803 19
 
2.0%
7619 14
 
1.5%
7599 14
 
1.5%
7591 13
 
1.4%
7638 12
 
1.3%
7616 12
 
1.3%
7777 11
 
1.2%
7705 10
 
1.1%
7623 9
 
1.0%
Other values (274) 804
85.4%
ValueCountFrequency (%)
7504 1
 
0.1%
7505 6
0.6%
7506 4
0.4%
7509 6
0.6%
7510 3
0.3%
7511 3
0.3%
7512 2
 
0.2%
7513 1
 
0.1%
7515 2
 
0.2%
7516 7
0.7%
ValueCountFrequency (%)
157937 1
 
0.1%
157930 6
0.6%
157928 3
0.3%
157927 1
 
0.1%
157925 1
 
0.1%
157924 3
0.3%
157922 1
 
0.1%
157918 3
0.3%
157916 4
0.4%
157915 1
 
0.1%

사업장명
Text

Distinct779
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-06T20:26:59.761171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.7322
Min length4

Characters and Unicode

Total characters10099
Distinct characters326
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

Unique653 ?
Unique (%)69.4%

Sample

1st row바이더웨이 발산 신화점
2nd row씨유화곡수명점
3rd row씨유 뉴공항1호점
4th rowGS25 등촌스타
5th rowGS25화곡까치산점
ValueCountFrequency (%)
씨유 275
 
15.0%
gs25 171
 
9.3%
지에스25 102
 
5.6%
세븐일레븐 95
 
5.2%
주)코리아세븐 68
 
3.7%
미니스톱 51
 
2.8%
지에스(gs)25 20
 
1.1%
이마트24 16
 
0.9%
㈜코리아세븐 15
 
0.8%
신방화점 10
 
0.5%
Other values (637) 1013
55.2%
2024-04-06T20:27:00.429177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
899
 
8.9%
점 862
 
8.5%
곡 374
 
3.7%
2 356
 
3.5%
화 353
 
3.5%
5 339
 
3.4%
유 306
 
3.0%
씨 300
 
3.0%
븐 283
 
2.8%
스 271
 
2.7%
Other values (316) 5756
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7628
75.5%
Space Separator 899
 
8.9%
Decimal Number 791
 
7.8%
Uppercase Letter 498
 
4.9%
Close Punctuation 131
 
1.3%
Open Punctuation 131
 
1.3%
Other Symbol 19
 
0.2%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 862
 
11.3%
곡 374
 
4.9%
화 353
 
4.6%
유 306
 
4.0%
씨 300
 
3.9%
븐 283
 
3.7%
스 271
 
3.6%
지 218
 
2.9%
서 198
 
2.6%
세 190
 
2.5%
Other values (285) 4273
56.0%
Uppercase Letter
ValueCountFrequency (%)
S 225
45.2%
G 207
41.6%
C 13
 
2.6%
U 12
 
2.4%
K 8
 
1.6%
B 5
 
1.0%
I 4
 
0.8%
L 4
 
0.8%
P 4
 
0.8%
N 3
 
0.6%
Other values (6) 13
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 356
45.0%
5 339
42.9%
1 29
 
3.7%
4 20
 
2.5%
3 14
 
1.8%
6 9
 
1.1%
7 9
 
1.1%
9 8
 
1.0%
8 7
 
0.9%
Space Separator
ValueCountFrequency (%)
899
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7647
75.7%
Common 1954
 
19.3%
Latin 498
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 862
 
11.3%
곡 374
 
4.9%
화 353
 
4.6%
유 306
 
4.0%
씨 300
 
3.9%
븐 283
 
3.7%
스 271
 
3.5%
지 218
 
2.9%
서 198
 
2.6%
세 190
 
2.5%
Other values (286) 4292
56.1%
Latin
ValueCountFrequency (%)
S 225
45.2%
G 207
41.6%
C 13
 
2.6%
U 12
 
2.4%
K 8
 
1.6%
B 5
 
1.0%
I 4
 
0.8%
L 4
 
0.8%
P 4
 
0.8%
N 3
 
0.6%
Other values (6) 13
 
2.6%
Common
ValueCountFrequency (%)
899
46.0%
2 356
 
18.2%
5 339
 
17.3%
) 131
 
6.7%
( 131
 
6.7%
1 29
 
1.5%
4 20
 
1.0%
3 14
 
0.7%
6 9
 
0.5%
7 9
 
0.5%
Other values (4) 17
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7628
75.5%
ASCII 2452
 
24.3%
None 19
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
899
36.7%
2 356
 
14.5%
5 339
 
13.8%
S 225
 
9.2%
G 207
 
8.4%
) 131
 
5.3%
( 131
 
5.3%
1 29
 
1.2%
4 20
 
0.8%
3 14
 
0.6%
Other values (20) 101
 
4.1%
Hangul
ValueCountFrequency (%)
점 862
 
11.3%
곡 374
 
4.9%
화 353
 
4.6%
유 306
 
4.0%
씨 300
 
3.9%
븐 283
 
3.7%
스 271
 
3.6%
지 218
 
2.9%
서 198
 
2.6%
세 190
 
2.5%
Other values (285) 4273
56.0%
None
ValueCountFrequency (%)
㈜ 19
100.0%

최종수정일자
Date

UNIQUE 

Distinct941
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2013-10-30 13:25:39
Maximum2024-04-04 16:56:32
2024-04-06T20:27:00.608334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:27:00.800476image/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 size7.5 KiB
I
541 
U
400 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 541
57.5%
U 400
42.5%

Length

2024-04-06T20:27:00.963715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:27:01.096208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 541
57.5%
u 400
42.5%

데이터갱신일자
Date

Distinct430
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:27:01.242268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:27:01.443497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct550
Distinct (%)59.8%
Missing22
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean185708.39
Minimum182293.36
Maximum189124.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-06T20:27:01.694933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182293.36
5-th percentile183197.33
Q1184605.76
median185830
Q3186728.27
95-th percentile188038.45
Maximum189124.44
Range6831.0835
Interquartile range (IQR)2122.5155

Descriptive statistics

Standard deviation1512.3347
Coefficient of variation (CV)0.0081435988
Kurtosis-0.67354292
Mean185708.39
Median Absolute Deviation (MAD)982
Skewness-0.15517668
Sum1.7066601 × 108
Variance2287156.1
MonotonicityNot monotonic
2024-04-06T20:27:01.910149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188815.230601997 7
 
0.7%
186501.233192961 6
 
0.6%
185034.346957949 6
 
0.6%
183400.714787118 6
 
0.6%
185747.670138989 5
 
0.5%
183595.654551909 5
 
0.5%
183908.453461714 5
 
0.5%
183130.915788053 5
 
0.5%
184077.606139883 5
 
0.5%
186424.391650186 5
 
0.5%
Other values (540) 864
91.8%
(Missing) 22
 
2.3%
ValueCountFrequency (%)
182293.357671337 1
 
0.1%
182524.823835629 2
0.2%
182794.441839414 1
 
0.1%
182832.870371789 1
 
0.1%
182846.62641593 3
0.3%
182895.668483962 2
0.2%
182914.598086861 2
0.2%
182920.603878336 2
0.2%
182924.505322144 1
 
0.1%
182933.515903576 1
 
0.1%
ValueCountFrequency (%)
189124.441211963 1
 
0.1%
189105.201587182 1
 
0.1%
189098.806779959 1
 
0.1%
188998.678607376 1
 
0.1%
188944.612624413 1
 
0.1%
188907.145870979 1
 
0.1%
188894.3880286 1
 
0.1%
188816.672230969 1
 
0.1%
188815.230601997 7
0.7%
188788.304834865 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct548
Distinct (%)59.6%
Missing22
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean450131.44
Minimum447239.55
Maximum453626.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-06T20:27:02.164081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447239.55
5-th percentile447580.54
Q1449053.51
median450285.07
Q3451166.04
95-th percentile452273.84
Maximum453626.1
Range6386.5455
Interquartile range (IQR)2112.5265

Descriptive statistics

Standard deviation1450.1301
Coefficient of variation (CV)0.0032215704
Kurtosis-0.79542817
Mean450131.44
Median Absolute Deviation (MAD)1036.3561
Skewness-0.2201817
Sum4.1367079 × 108
Variance2102877.4
MonotonicityNot monotonic
2024-04-06T20:27:02.405796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450196.83680578 7
 
0.7%
451485.251875922 6
 
0.6%
449164.972451344 6
 
0.6%
451689.782780181 6
 
0.6%
447360.27075665 5
 
0.5%
450285.070346197 5
 
0.5%
452235.907439485 5
 
0.5%
451068.275763037 5
 
0.5%
451423.521180304 5
 
0.5%
447580.544751681 5
 
0.5%
Other values (538) 864
91.8%
(Missing) 22
 
2.3%
ValueCountFrequency (%)
447239.554007375 1
 
0.1%
447297.791614934 1
 
0.1%
447324.010715124 2
 
0.2%
447332.105309799 1
 
0.1%
447360.27075665 5
0.5%
447363.087988425 1
 
0.1%
447363.383938393 2
 
0.2%
447378.057391086 3
0.3%
447384.273292659 1
 
0.1%
447401.82054211 2
 
0.2%
ValueCountFrequency (%)
453626.099540967 1
 
0.1%
453178.305694113 2
0.2%
453050.733807442 4
0.4%
452988.696877824 1
 
0.1%
452934.0 2
0.2%
452915.963722565 1
 
0.1%
452893.622300597 1
 
0.1%
452885.190156723 2
0.2%
452853.767356245 2
0.2%
452817.469477897 2
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)36.7%
Missing617
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean55.732315
Minimum0
Maximum597
Zeros26
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-06T20:27:02.663432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138.675
median50
Q369.25
95-th percentile108.765
Maximum597
Range597
Interquartile range (IQR)30.575

Descriptive statistics

Standard deviation41.978514
Coefficient of variation (CV)0.75321677
Kurtosis84.893459
Mean55.732315
Median Absolute Deviation (MAD)16
Skewness6.7251833
Sum18057.27
Variance1762.1957
MonotonicityNot monotonic
2024-04-06T20:27:02.931009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
 
2.8%
66.0 24
 
2.6%
33.0 19
 
2.0%
50.0 18
 
1.9%
49.5 15
 
1.6%
99.0 8
 
0.9%
40.0 8
 
0.9%
45.0 8
 
0.9%
60.0 7
 
0.7%
90.0 7
 
0.7%
Other values (109) 184
 
19.6%
(Missing) 617
65.6%
ValueCountFrequency (%)
0.0 26
2.8%
3.3 3
 
0.3%
7.0 1
 
0.1%
9.9 1
 
0.1%
10.58 1
 
0.1%
16.5 1
 
0.1%
19.8 1
 
0.1%
23.0 1
 
0.1%
25.0 2
 
0.2%
26.0 1
 
0.1%
ValueCountFrequency (%)
597.0 1
 
0.1%
140.0 1
 
0.1%
135.0 1
 
0.1%
127.6 1
 
0.1%
126.0 1
 
0.1%
125.0 1
 
0.1%
123.0 1
 
0.1%
122.0 1
 
0.1%
121.0 1
 
0.1%
120.0 3
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03150000PHMH32011315003708750000120111105<NA>3폐업3폐업20121116<NA><NA><NA>2694-4831<NA>157280서울특별시 강서구 내발산동 653번지서울특별시 강서구 강서로 360 (내발산동)157280바이더웨이 발산 신화점2013-10-30 15:16:48I2018-08-31 23:59:59.0<NA>185643.544687450612.383813<NA>
13150000PHMH32012315003708750000120121105<NA>3폐업3폐업20170331<NA><NA><NA>2601-3855<NA>157924서울특별시 강서구 화곡동 1068번지서울특별시 강서구 강서로33길 103 (화곡동)7711씨유화곡수명점2017-03-31 11:41:08I2018-08-31 23:59:59.0<NA>185282.383004448711.032614<NA>
23150000PHMH32012315003708750000220121105<NA>1영업/정상13영업중<NA><NA><NA><NA>2665-2144<NA><NA>서울특별시 강서구 공항동 53번지 15호서울특별시 강서구 송정로 70, 1층 (공항동)7623씨유 뉴공항1호점2019-12-24 16:59:42U2019-12-26 02:40:00.0<NA>183137.394066450980.536782<NA>
33150000PHMH32012315003708750000320121105<NA>3폐업3폐업20130326<NA><NA><NA>2644-8104<NA>157836서울특별시 강서구 등촌동 512번지 7호서울특별시 강서구 등촌로39길 6 (등촌동)157836GS25 등촌스타2013-10-30 13:25:39I2018-08-31 23:59:59.0<NA>187747.587175449268.71092<NA>
43150000PHMH32012315003708750000420121105<NA>3폐업3폐업20130326<NA><NA><NA>2601-8104<NA>157881서울특별시 강서구 화곡동 348번지 23호서울특별시 강서구 강서로17길 29 (화곡동)157881GS25화곡까치산점2013-10-30 13:33:53I2018-08-31 23:59:59.0<NA>186165.936748447830.752392<NA>
53150000PHMH32012315003708750000520121105<NA>3폐업3폐업20150519<NA><NA><NA>2666-7103<NA>157833서울특별시 강서구 내발산동 708번지 12호서울특별시 강서구 강서로47가길 38 (내발산동)157833GS25 내발산점2015-05-19 17:59:02I2018-08-31 23:59:59.0<NA>185390.985527449863.694452<NA>
63150000PHMH32012315003708750000620121105<NA>4취소/말소/만료/정지/중지24직권폐업20210503<NA><NA><NA>2659-3988<NA>157280서울특별시 강서구 내발산동 666번지 1호서울특별시 강서구 강서로50길 10 (내발산동)7652GS25 발산미소점2021-05-06 14:08:57U2021-05-08 02:40:00.0<NA>185598.765455450333.33903<NA>
73150000PHMH32012315003708750000720121105<NA>3폐업3폐업20200728<NA><NA><NA>3661-8204<NA>157030서울특별시 강서구 등촌동 65번지 5호서울특별시 강서구 공항대로43길 123 (등촌동)7574씨유 등촌SBS점2020-07-28 18:03:34U2020-07-30 02:40:00.0<NA>186781.300479451150.119278<NA>
83150000PHMH3201231500370875000082012-11-05<NA>1영업/정상13영업중<NA><NA><NA><NA>2659-5302<NA><NA>서울특별시 강서구 등촌동 628-32 강변샤르망2단지서울특별시 강서구 공항대로45길 101, 강변샤르망2단지 109호 (등촌동)75487-11 등촌 샤르망2023-05-31 17:48:11U2022-12-06 00:03:00.0<NA>187131.789307450927.486848<NA>
93150000PHMH32012315003708750000920121105<NA>1영업/정상13영업중<NA><NA><NA><NA>2606-0969<NA>157910서울특별시 강서구 화곡동 920번지 1호서울특별시 강서구 곰달래로 88 (화곡동)7776GS25 화곡 영광점2013-10-30 14:12:00I2018-08-31 23:59:59.0<NA>186020.435846447556.256633<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
9313150000PHMH3202431500370875000092024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 703-7서울특별시 강서구 강서로48길 20 (내발산동)7693지에스(GS)25 강서혜민점2024-02-15 10:30:27I2023-12-01 23:07:00.0<NA>185575.00354450037.955729<NA>
9323150000PHMH3202431500370875000102024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 366-98서울특별시 강서구 가로공원로84길 82, 상가동 1층 (화곡동)7767씨유 화곡양서점2024-02-29 11:03:53I2023-12-03 00:02:00.0<NA>185958.892847447999.004893<NA>
9333150000PHMH3202431500370875000112024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 391-20서울특별시 강서구 곰달래로25길 8 (화곡동)7759지에스(GS)25 화곡세화2024-02-29 10:58:43I2023-12-03 00:02:00.0<NA>186602.497934447670.261137<NA>
9343150000PHMH3202431500370875000122024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 679서울특별시 강서구 강서로56가길 69, 1층 (등촌동)7583씨유호서아이엔점2024-02-29 15:18:59I2023-12-03 00:02:00.0<NA>185829.917131451162.713625<NA>
9353150000PHMH3202431500370875000132024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 872-24서울특별시 강서구 곰달래로31길 16, 1층 (화곡동)7750지에스25 곰달래로점2024-03-04 12:47:40I2023-12-03 00:06:00.0<NA>186805.804788447718.495194<NA>
9363150000PHMH3202431500370875000142024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 795-16서울특별시 강서구 등촌로3길 50, 1층 (화곡동)7785씨유 강서아람점2024-03-18 10:02:28I2023-12-02 22:00:00.0<NA>187640.861609447680.583139<NA>
9373150000PHMH3202431500370875000152024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 797-22 용경빌딩서울특별시 강서구 곰달래로 259, 용경빌딩 1층 (화곡동)7741씨유곰달래본점2024-03-21 09:22:07I2023-12-02 22:03:00.0<NA>187712.598836447791.897411<NA>
9383150000PHMH3202431500370875000162024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 634서울특별시 강서구 공항대로59길 80-6, 1층 (등촌동)7552지에스25 등촌골드점2024-03-22 09:09:15I2023-12-02 22:04:00.0<NA>187872.904725450315.100713<NA>
9393150000PHMH3202431500370875000172024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 72-9 본방빌딩서울특별시 강서구 공항대로2길 18, 본방빌딩 1층 (공항동)7622지에스(GS)25공항센트레빌점2024-03-26 13:29:10I2023-12-02 22:08:00.0<NA>183013.939536450945.903287<NA>
9403150000PHMH3202431500370875000182024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 371-7서울특별시 강서구 월정로32길 71, 1층 (화곡동)7762지에스25 화곡그랜드점2024-04-04 16:56:32I2023-12-04 00:06:00.0<NA>185709.645868448237.07478<NA>