Overview

Dataset statistics

Number of variables30
Number of observations33
Missing cells213
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory259.0 B

Variable types

Categorical13
Numeric4
DateTime4
Unsupported5
Text4

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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16659/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (67.0%)Imbalance
업태구분명 is highly imbalanced (60.2%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 13 (39.4%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 29 (87.9%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
지번주소 has 2 (6.1%) missing valuesMissing
도로명우편번호 has 2 (6.1%) missing valuesMissing
좌표정보(X) has 1 (3.0%) missing valuesMissing
좌표정보(Y) has 1 (3.0%) 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:29:36.653825
Analysis finished2024-05-11 06:29:37.413409
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3180000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 33
100.0%

Length

2024-05-11T15:29:37.556678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:37.729397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.18 × 1017
Minimum3.18 × 1017
Maximum3.18 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:29:37.893432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.18 × 1017
5-th percentile3.18 × 1017
Q13.18 × 1017
median3.18 × 1017
Q33.18 × 1017
95-th percentile3.18 × 1017
Maximum3.18 × 1017
Range380003
Interquartile range (IQR)50048

Descriptive statistics

Standard deviation70559.137
Coefficient of variation (CV)2.2188407 × 10-13
Kurtosis14.717177
Mean3.18 × 1017
Median Absolute Deviation (MAD)20032
Skewness-3.4347907
Sum-7.952744 × 1018
Variance4.9785917 × 109
MonotonicityStrictly increasing
2024-05-11T15:29:38.130700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
318000003419850001 1
 
3.0%
318000003420220003 1
 
3.0%
318000003420210001 1
 
3.0%
318000003420210002 1
 
3.0%
318000003420210003 1
 
3.0%
318000003420210004 1
 
3.0%
318000003420220001 1
 
3.0%
318000003420220002 1
 
3.0%
318000003420220004 1
 
3.0%
318000003420070001 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
318000003419850001 1
3.0%
318000003420070001 1
3.0%
318000003420090001 1
3.0%
318000003420140001 1
3.0%
318000003420140002 1
3.0%
318000003420150001 1
3.0%
318000003420150002 1
3.0%
318000003420160001 1
3.0%
318000003420170001 1
3.0%
318000003420170002 1
3.0%
ValueCountFrequency (%)
318000003420230004 1
3.0%
318000003420230003 1
3.0%
318000003420230002 1
3.0%
318000003420230001 1
3.0%
318000003420220006 1
3.0%
318000003420220005 1
3.0%
318000003420220004 1
3.0%
318000003420220003 1
3.0%
318000003420220002 1
3.0%
318000003420220001 1
3.0%

인허가일자
Date

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1985-09-18 00:00:00
Maximum2023-11-13 00:00:00
2024-05-11T15:29:38.368722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:38.647374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
3
20 
1
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 20
60.6%
1 13
39.4%

Length

2024-05-11T15:29:38.883110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:39.067517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
60.6%
1 13
39.4%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
20 
영업/정상
13 

Length

Max length5
Median length2
Mean length3.1818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 20
60.6%
영업/정상 13
39.4%

Length

2024-05-11T15:29:39.283556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:39.449058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
60.6%
영업/정상 13
39.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2
20 
0
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row0
5th row2

Common Values

ValueCountFrequency (%)
2 20
60.6%
0 13
39.4%

Length

2024-05-11T15:29:39.613300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:39.792067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 20
60.6%
0 13
39.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
20 
정상
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 20
60.6%
정상 13
39.4%

Length

2024-05-11T15:29:39.964223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:40.132967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
60.6%
정상 13
39.4%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing13
Missing (%)39.4%
Memory size396.0 B
Minimum2011-01-05 00:00:00
Maximum2023-07-07 00:00:00
2024-05-11T15:29:40.317790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:40.586715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing29
Missing (%)87.9%
Memory size396.0 B
2024-05-11T15:29:41.240418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length11.25
Min length9

Characters and Unicode

Total characters45
Distinct characters10
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

Unique4 ?
Unique (%)100.0%

Sample

1st row2636-3100
2nd row02-384-0916
3rd row070-8093-2484
4th row02-6407-2061
ValueCountFrequency (%)
2636-3100 1
25.0%
02-384-0916 1
25.0%
070-8093-2484 1
25.0%
02-6407-2061 1
25.0%
2024-05-11T15:29:41.768883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
22.2%
- 7
15.6%
2 5
11.1%
6 5
11.1%
3 4
 
8.9%
4 4
 
8.9%
1 3
 
6.7%
8 3
 
6.7%
9 2
 
4.4%
7 2
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38
84.4%
Dash Punctuation 7
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
26.3%
2 5
13.2%
6 5
13.2%
3 4
 
10.5%
4 4
 
10.5%
1 3
 
7.9%
8 3
 
7.9%
9 2
 
5.3%
7 2
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
22.2%
- 7
15.6%
2 5
11.1%
6 5
11.1%
3 4
 
8.9%
4 4
 
8.9%
1 3
 
6.7%
8 3
 
6.7%
9 2
 
4.4%
7 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
22.2%
- 7
15.6%
2 5
11.1%
6 5
11.1%
3 4
 
8.9%
4 4
 
8.9%
1 3
 
6.7%
8 3
 
6.7%
9 2
 
4.4%
7 2
 
4.4%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
31 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.1818182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
93.9%
<NA> 2
 
6.1%

Length

2024-05-11T15:29:42.031211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:42.314190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
93.9%
na 2
 
6.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지번주소
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing2
Missing (%)6.1%
Memory size396.0 B
2024-05-11T15:29:42.710499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length25.774194
Min length20

Characters and Unicode

Total characters799
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row서울특별시 영등포구 문래동3가 9번지
2nd row서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티
3rd row서울특별시 영등포구 문래동1가 39번지 센터플러스 809호
4th row서울특별시 영등포구 양평동4가 203-2
5th row서울특별시 영등포구 도림동 251-3번지 1층
ValueCountFrequency (%)
서울특별시 31
21.5%
영등포구 31
21.5%
도림동 4
 
2.8%
신길동 4
 
2.8%
양평동5가 4
 
2.8%
양평동4가 3
 
2.1%
당산동1가 3
 
2.1%
201호 2
 
1.4%
문래동3가 2
 
1.4%
1-1 2
 
1.4%
Other values (56) 58
40.3%
2024-05-11T15:29:43.434010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
15.9%
포 35
 
4.4%
영 34
 
4.3%
등 34
 
4.3%
동 34
 
4.3%
1 33
 
4.1%
시 32
 
4.0%
구 32
 
4.0%
서 31
 
3.9%
특 31
 
3.9%
Other values (76) 376
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 512
64.1%
Decimal Number 137
 
17.1%
Space Separator 127
 
15.9%
Dash Punctuation 21
 
2.6%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 35
 
6.8%
영 34
 
6.6%
등 34
 
6.6%
동 34
 
6.6%
시 32
 
6.2%
구 32
 
6.2%
서 31
 
6.1%
특 31
 
6.1%
별 31
 
6.1%
울 31
 
6.1%
Other values (62) 187
36.5%
Decimal Number
ValueCountFrequency (%)
1 33
24.1%
2 20
14.6%
3 15
10.9%
0 14
10.2%
5 12
 
8.8%
8 10
 
7.3%
4 9
 
6.6%
7 9
 
6.6%
9 8
 
5.8%
6 7
 
5.1%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 512
64.1%
Common 286
35.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 35
 
6.8%
영 34
 
6.6%
등 34
 
6.6%
동 34
 
6.6%
시 32
 
6.2%
구 32
 
6.2%
서 31
 
6.1%
특 31
 
6.1%
별 31
 
6.1%
울 31
 
6.1%
Other values (62) 187
36.5%
Common
ValueCountFrequency (%)
127
44.4%
1 33
 
11.5%
- 21
 
7.3%
2 20
 
7.0%
3 15
 
5.2%
0 14
 
4.9%
5 12
 
4.2%
8 10
 
3.5%
4 9
 
3.1%
7 9
 
3.1%
Other values (3) 16
 
5.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 512
64.1%
ASCII 287
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
44.3%
1 33
 
11.5%
- 21
 
7.3%
2 20
 
7.0%
3 15
 
5.2%
0 14
 
4.9%
5 12
 
4.2%
8 10
 
3.5%
4 9
 
3.1%
7 9
 
3.1%
Other values (4) 17
 
5.9%
Hangul
ValueCountFrequency (%)
포 35
 
6.8%
영 34
 
6.6%
등 34
 
6.6%
동 34
 
6.6%
시 32
 
6.2%
구 32
 
6.2%
서 31
 
6.1%
특 31
 
6.1%
별 31
 
6.1%
울 31
 
6.1%
Other values (62) 187
36.5%

도로명주소
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T15:29:44.016704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length36.545455
Min length23

Characters and Unicode

Total characters1206
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row서울특별시 영등포구 영신로 87 (문래동3가)
2nd row서울특별시 영등포구 경인로 775, 에이스하이테크시티 (문래동3가)
3rd row서울특별시 영등포구 경인로82길 3-4 (문래동1가,센터플러스 809호)
4th row서울특별시 영등포구 선유로51길 22, 102호 (양평동4가)
5th row서울특별시 영등포구 양평로22길 12, 1층 101호 (양평동4가)
ValueCountFrequency (%)
서울특별시 33
 
14.8%
영등포구 33
 
14.8%
1층 10
 
4.5%
신길동 5
 
2.2%
양평동5가 4
 
1.8%
도림동 4
 
1.8%
양평동4가 4
 
1.8%
201호 3
 
1.3%
2층 3
 
1.3%
당산동1가 3
 
1.3%
Other values (104) 121
54.3%
2024-05-11T15:29:44.918564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
15.8%
1 59
 
4.9%
영 42
 
3.5%
2 40
 
3.3%
동 40
 
3.3%
포 40
 
3.3%
등 39
 
3.2%
서 35
 
2.9%
, 35
 
2.9%
시 34
 
2.8%
Other values (90) 651
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 702
58.2%
Decimal Number 204
 
16.9%
Space Separator 191
 
15.8%
Other Punctuation 36
 
3.0%
Close Punctuation 33
 
2.7%
Open Punctuation 33
 
2.7%
Dash Punctuation 5
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 42
 
6.0%
동 40
 
5.7%
포 40
 
5.7%
등 39
 
5.6%
서 35
 
5.0%
시 34
 
4.8%
구 34
 
4.8%
울 33
 
4.7%
별 33
 
4.7%
로 33
 
4.7%
Other values (72) 339
48.3%
Decimal Number
ValueCountFrequency (%)
1 59
28.9%
2 40
19.6%
5 20
 
9.8%
3 19
 
9.3%
0 17
 
8.3%
4 15
 
7.4%
6 10
 
4.9%
8 10
 
4.9%
7 7
 
3.4%
9 7
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 35
97.2%
. 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 702
58.2%
Common 502
41.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 42
 
6.0%
동 40
 
5.7%
포 40
 
5.7%
등 39
 
5.6%
서 35
 
5.0%
시 34
 
4.8%
구 34
 
4.8%
울 33
 
4.7%
별 33
 
4.7%
로 33
 
4.7%
Other values (72) 339
48.3%
Common
ValueCountFrequency (%)
191
38.0%
1 59
 
11.8%
2 40
 
8.0%
, 35
 
7.0%
) 33
 
6.6%
( 33
 
6.6%
5 20
 
4.0%
3 19
 
3.8%
0 17
 
3.4%
4 15
 
3.0%
Other values (6) 40
 
8.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 702
58.2%
ASCII 504
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
37.9%
1 59
 
11.7%
2 40
 
7.9%
, 35
 
6.9%
) 33
 
6.5%
( 33
 
6.5%
5 20
 
4.0%
3 19
 
3.8%
0 17
 
3.4%
4 15
 
3.0%
Other values (8) 42
 
8.3%
Hangul
ValueCountFrequency (%)
영 42
 
6.0%
동 40
 
5.7%
포 40
 
5.7%
등 39
 
5.6%
서 35
 
5.0%
시 34
 
4.8%
구 34
 
4.8%
울 33
 
4.7%
별 33
 
4.7%
로 33
 
4.7%
Other values (72) 339
48.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)83.9%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean7289
Minimum7202
Maximum7431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:29:45.160764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7202
5-th percentile7203
Q17207.5
median7278
Q37361.5
95-th percentile7399.5
Maximum7431
Range229
Interquartile range (IQR)154

Descriptive statistics

Standard deviation74.089585
Coefficient of variation (CV)0.010164575
Kurtosis-1.3004244
Mean7289
Median Absolute Deviation (MAD)72
Skewness0.30964655
Sum225959
Variance5489.2667
MonotonicityNot monotonic
2024-05-11T15:29:45.380639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7206 3
 
9.1%
7374 2
 
6.1%
7203 2
 
6.1%
7265 2
 
6.1%
7412 1
 
3.0%
7246 1
 
3.0%
7262 1
 
3.0%
7348 1
 
3.0%
7387 1
 
3.0%
7204 1
 
3.0%
Other values (16) 16
48.5%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
7202 1
 
3.0%
7203 2
6.1%
7204 1
 
3.0%
7206 3
9.1%
7207 1
 
3.0%
7208 1
 
3.0%
7224 1
 
3.0%
7246 1
 
3.0%
7251 1
 
3.0%
7262 1
 
3.0%
ValueCountFrequency (%)
7431 1
3.0%
7412 1
3.0%
7387 1
3.0%
7379 1
3.0%
7374 2
6.1%
7372 1
3.0%
7370 1
3.0%
7353 1
3.0%
7348 1
3.0%
7340 1
3.0%

사업장명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T15:29:45.781515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length15
Mean length8.1818182
Min length2

Characters and Unicode

Total characters270
Distinct characters138
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

Unique31 ?
Unique (%)93.9%

Sample

1st row대선제분(주)
2nd row(주)에스틴(대표자: 여운돈)
3rd row케어사이드코리아
4th row주식회사 애그리오
5th row루나쿡(Runa cook)
ValueCountFrequency (%)
매일매일 2
 
3.9%
주식회사 2
 
3.9%
영등포점 1
 
2.0%
천하무적 1
 
2.0%
멍멍기사 1
 
2.0%
티켓팜[대표 1
 
2.0%
김시형 1
 
2.0%
노영훈 1
 
2.0%
간식나무 1
 
2.0%
까미꾸 1
 
2.0%
Other values (39) 39
76.5%
2024-05-11T15:29:46.733793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
6.7%
( 8
 
3.0%
) 8
 
3.0%
o 5
 
1.9%
스 5
 
1.9%
식 5
 
1.9%
주 5
 
1.9%
매 4
 
1.5%
t 4
 
1.5%
g 4
 
1.5%
Other values (128) 204
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
62.2%
Lowercase Letter 47
 
17.4%
Space Separator 18
 
6.7%
Uppercase Letter 11
 
4.1%
Open Punctuation 10
 
3.7%
Close Punctuation 10
 
3.7%
Other Punctuation 6
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 5
 
3.0%
식 5
 
3.0%
주 5
 
3.0%
매 4
 
2.4%
리 4
 
2.4%
사 4
 
2.4%
일 4
 
2.4%
무 4
 
2.4%
대 4
 
2.4%
표 3
 
1.8%
Other values (95) 126
75.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
 
10.6%
t 4
 
8.5%
g 4
 
8.5%
e 4
 
8.5%
i 4
 
8.5%
n 4
 
8.5%
a 3
 
6.4%
l 2
 
4.3%
d 2
 
4.3%
s 2
 
4.3%
Other values (8) 13
27.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
18.2%
C 2
18.2%
H 2
18.2%
A 2
18.2%
P 2
18.2%
R 1
9.1%
Other Punctuation
ValueCountFrequency (%)
: 3
50.0%
, 1
 
16.7%
; 1
 
16.7%
& 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 8
80.0%
[ 2
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 8
80.0%
] 2
 
20.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
62.2%
Latin 58
 
21.5%
Common 44
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 5
 
3.0%
식 5
 
3.0%
주 5
 
3.0%
매 4
 
2.4%
리 4
 
2.4%
사 4
 
2.4%
일 4
 
2.4%
무 4
 
2.4%
대 4
 
2.4%
표 3
 
1.8%
Other values (95) 126
75.0%
Latin
ValueCountFrequency (%)
o 5
 
8.6%
t 4
 
6.9%
g 4
 
6.9%
e 4
 
6.9%
i 4
 
6.9%
n 4
 
6.9%
a 3
 
5.2%
l 2
 
3.4%
d 2
 
3.4%
s 2
 
3.4%
Other values (14) 24
41.4%
Common
ValueCountFrequency (%)
18
40.9%
( 8
18.2%
) 8
18.2%
: 3
 
6.8%
[ 2
 
4.5%
] 2
 
4.5%
, 1
 
2.3%
; 1
 
2.3%
& 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
62.2%
ASCII 102
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
17.6%
( 8
 
7.8%
) 8
 
7.8%
o 5
 
4.9%
t 4
 
3.9%
g 4
 
3.9%
e 4
 
3.9%
i 4
 
3.9%
n 4
 
3.9%
: 3
 
2.9%
Other values (23) 40
39.2%
Hangul
ValueCountFrequency (%)
스 5
 
3.0%
식 5
 
3.0%
주 5
 
3.0%
매 4
 
2.4%
리 4
 
2.4%
사 4
 
2.4%
일 4
 
2.4%
무 4
 
2.4%
대 4
 
2.4%
표 3
 
1.8%
Other values (95) 126
75.0%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2011-01-05 17:52:53
Maximum2023-12-21 09:32:25
2024-05-11T15:29:47.030622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:47.336436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
U
21 
I
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 21
63.6%
I 12
36.4%

Length

2024-05-11T15:29:47.638414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:47.913747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 21
63.6%
i 12
36.4%

데이터갱신일자
Date

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 23:03:00
2024-05-11T15:29:48.125082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:48.401049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
단미
29 
보조
3 
배합
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row단미
2nd row보조
3rd row보조
4th row단미
5th row단미

Common Values

ValueCountFrequency (%)
단미 29
87.9%
보조 3
 
9.1%
배합 1
 
3.0%

Length

2024-05-11T15:29:48.675100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:48.911531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 29
87.9%
보조 3
 
9.1%
배합 1
 
3.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean191067.54
Minimum189679.29
Maximum194124.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:29:49.167659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189679.29
5-th percentile189964.77
Q1190670.09
median190868.68
Q3191306.24
95-th percentile192494.8
Maximum194124.5
Range4445.2113
Interquartile range (IQR)636.15123

Descriptive statistics

Standard deviation874.33738
Coefficient of variation (CV)0.0045760644
Kurtosis3.8995258
Mean191067.54
Median Absolute Deviation (MAD)295.14084
Skewness1.551289
Sum6114161.4
Variance764465.86
MonotonicityNot monotonic
2024-05-11T15:29:49.394638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
190681.510583248 2
 
6.1%
191207.828724553 1
 
3.0%
190848.313018019 1
 
3.0%
190924.981304012 1
 
3.0%
191586.660635006 1
 
3.0%
190350.790334087 1
 
3.0%
192398.956017235 1
 
3.0%
191692.413891401 1
 
3.0%
190394.571819262 1
 
3.0%
190735.431804282 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
189679.286130733 1
3.0%
189734.544016734 1
3.0%
190153.128546656 1
3.0%
190350.790334087 1
3.0%
190372.127120283 1
3.0%
190394.571819262 1
3.0%
190631.263716036 1
3.0%
190649.289855484 1
3.0%
190677.018830207 1
3.0%
190681.510583248 2
6.1%
ValueCountFrequency (%)
194124.497455922 1
3.0%
192530.737090041 1
3.0%
192465.394086087 1
3.0%
192398.956017235 1
3.0%
191692.413891401 1
3.0%
191596.644851922 1
3.0%
191586.660635006 1
3.0%
191510.997808133 1
3.0%
191237.984490036 1
3.0%
191207.828724553 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean446603.17
Minimum444050.83
Maximum448779.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:29:49.648623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444050.83
5-th percentile444465.24
Q1445396.06
median446587.94
Q3448242.32
95-th percentile448652.47
Maximum448779.57
Range4728.7489
Interquartile range (IQR)2846.263

Descriptive statistics

Standard deviation1477.5638
Coefficient of variation (CV)0.0033084489
Kurtosis-1.2247172
Mean446603.17
Median Absolute Deviation (MAD)1505.0537
Skewness0.05677495
Sum14291301
Variance2183194.7
MonotonicityNot monotonic
2024-05-11T15:29:49.853878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
448648.996039329 2
 
6.1%
445969.291107894 1
 
3.0%
444696.452080427 1
 
3.0%
444975.217447591 1
 
3.0%
446798.452967557 1
 
3.0%
446861.374835733 1
 
3.0%
445454.269808818 1
 
3.0%
444968.091653779 1
 
3.0%
448656.726986041 1
 
3.0%
448450.829866915 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
444050.825681776 1
3.0%
444182.658395241 1
3.0%
444696.452080427 1
3.0%
444962.237323858 1
3.0%
444968.091653779 1
3.0%
444975.217447591 1
3.0%
444989.436735345 1
3.0%
445221.436084825 1
3.0%
445454.269808818 1
3.0%
445548.79737092 1
3.0%
ValueCountFrequency (%)
448779.57454276 1
3.0%
448656.726986041 1
3.0%
448648.996039329 2
6.1%
448496.44955288 1
3.0%
448450.829866915 1
3.0%
448373.882095797 1
3.0%
448313.958049087 1
3.0%
448218.446478138 1
3.0%
447999.544195689 1
3.0%
446861.374835733 1
3.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
사료제조업
17 
<NA>
16 

Length

Max length5
Median length5
Mean length4.5151515
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사료제조업
2nd row사료제조업
3rd row사료제조업
4th row사료제조업
5th row<NA>

Common Values

ValueCountFrequency (%)
사료제조업 17
51.5%
<NA> 16
48.5%

Length

2024-05-11T15:29:50.081874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:50.299289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 17
51.5%
na 16
48.5%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
16 
단미
14 
보조
2 
배합
 
1

Length

Max length4
Median length2
Mean length2.969697
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row단미
2nd row보조
3rd row보조
4th row단미
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
48.5%
단미 14
42.4%
보조 2
 
6.1%
배합 1
 
3.0%

Length

2024-05-11T15:29:50.496264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:50.672238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
48.5%
단미 14
42.4%
보조 2
 
6.1%
배합 1
 
3.0%

축산일련번호
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
17 
<NA>
16 

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 17
51.5%
<NA> 16
48.5%

Length

2024-05-11T15:29:50.865007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:51.039297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
51.5%
na 16
48.5%

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
16 
000
13 
L00
4 

Length

Max length4
Median length3
Mean length3.4848485
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd rowL00
3rd row000
4th rowL00
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
48.5%
000 13
39.4%
L00 4
 
12.1%

Length

2024-05-11T15:29:51.259153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:51.460611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
48.5%
000 13
39.4%
l00 4
 
12.1%

총인원
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
17 
<NA>
16 

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 17
51.5%
<NA> 16
48.5%

Length

2024-05-11T15:29:51.661952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:51.842084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
51.5%
na 16
48.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0318000031800000341985000119850918<NA>3폐업2폐업20140522<NA><NA><NA>2636-3100<NA><NA>서울특별시 영등포구 문래동3가 9번지서울특별시 영등포구 영신로 87 (문래동3가)<NA>대선제분(주)2014-05-22 11:35:59I2018-08-31 23:59:59.0단미191207.828725445969.291108사료제조업단미0L000
1318000031800000342007000120071025<NA>3폐업2폐업20210310<NA><NA><NA><NA>0<NA>서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티서울특별시 영등포구 경인로 775, 에이스하이테크시티 (문래동3가)7299(주)에스틴(대표자: 여운돈)2021-03-11 17:37:22U2021-03-13 02:40:00.0보조190996.357289445841.377603사료제조업보조0L000
2318000031800000342009000120090715<NA>3폐업2폐업20110105<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동1가 39번지 센터플러스 809호서울특별시 영등포구 경인로82길 3-4 (문래동1가,센터플러스 809호)<NA>케어사이드코리아2011-01-05 17:52:53I2018-08-31 23:59:59.0보조190828.268143445548.797371사료제조업보조00000
3318000031800000342014000120140218<NA>1영업/정상0정상<NA><NA><NA><NA>02-384-09160<NA><NA>서울특별시 영등포구 선유로51길 22, 102호 (양평동4가)7206주식회사 애그리오2014-02-18 15:51:59I2018-08-31 23:59:59.0단미190735.957243448373.882096사료제조업단미0L000
4318000031800000342014000220141130<NA>3폐업2폐업20230119<NA><NA><NA><NA>0<NA>서울특별시 영등포구 양평동4가 203-2서울특별시 영등포구 양평로22길 12, 1층 101호 (양평동4가)7206루나쿡(Runa cook)2023-01-19 16:44:30U2022-11-30 22:01:00.0단미190631.263716448496.449553<NA><NA><NA><NA><NA>
5318000031800000342015000120150414<NA>3폐업2폐업20160607<NA><NA><NA><NA>0<NA>서울특별시 영등포구 도림동 251-3번지 1층서울특별시 영등포구 도신로19길 5, 1층 (도림동)7374CHAPCHAP2016-06-07 16:06:14I2018-08-31 23:59:59.0단미191119.810145444962.237324사료제조업단미00000
6318000031800000342015000220150707<NA>3폐업2폐업20180402<NA><NA><NA><NA>0<NA>서울특별시 영등포구 도림동 151-2번지서울특별시 영등포구 도신로 85 (도림동)7370미스터토리2018-04-02 16:52:41I2018-08-31 23:59:59.0단미191237.98449444989.436735사료제조업단미00000
7318000031800000342016000120160322<NA>3폐업2폐업20221215<NA><NA><NA><NA>0<NA><NA>서울특별시 영등포구 영등포로 398, 2층 (신길동)7353배배쿡2022-12-15 16:15:25U2021-11-01 23:07:00.0단미<NA><NA><NA><NA><NA><NA><NA>
8318000031800000342017000120170405<NA>3폐업2폐업20230112<NA><NA><NA>070-8093-24840<NA>서울특별시 영등포구 양평동4가 98-7 건업빌딩서울특별시 영등포구 양평로19길 2, 건업빌딩 3층 (양평동4가)7208춤추는 도기넛2023-01-12 16:35:49U2022-11-30 23:04:00.0단미190649.289855448313.958049<NA><NA><NA><NA><NA>
9318000031800000342017000220171101<NA>3폐업2폐업20200120<NA><NA><NA><NA>0<NA>서울특별시 영등포구 신길동 48-8번지서울특별시 영등포구 영등포로62길 14, 1층 (신길동)7309왈 컴퍼니2020-01-20 18:17:56U2020-01-22 02:40:00.0단미192530.73709445920.654476사료제조업단미00000
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
2331800003180000034202200012022-01-03<NA>3폐업2폐업2023-06-16<NA><NA><NA><NA>0<NA>서울특별시 영등포구 영등포동6가 10서울특별시 영등포구 영중로 65, 210호 (영등포동6가)7251자정(minuit)2023-06-16 15:53:41U2022-12-05 23:08:00.0단미191510.997808446660.816764<NA><NA><NA><NA><NA>
24318000031800000342022000220220211<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 문래동6가 43 한신아파트서울특별시 영등포구 선유서로 35, 한신아파트 상가동 지하층 12호 (문래동6가)7283애견식단2022-02-11 18:04:20I2022-02-13 00:22:38.0단미189679.286131446348.475762사료제조업단미00000
25318000031800000342022000320220304<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 당산동1가 272서울특별시 영등포구 양산로 132-1, 1층 (당산동1가)7265오간식 영등포점2022-03-04 16:40:14I2022-03-06 00:22:36.0단미190889.044162446837.422033사료제조업단미00000
2631800003180000034202200042022-07-19<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 양평동4가 230-1서울특별시 영등포구 양평로20길 11-2, 3층 (양평동4가)7206얌얌2023-03-07 14:37:49U2022-12-03 00:09:00.0단미190735.431804448450.829867<NA><NA><NA><NA><NA>
2731800003180000034202200052022-07-20<NA>3폐업2폐업2023-03-13<NA><NA><NA><NA>0<NA>서울특별시 영등포구 양평동5가 76 양평동한신아파트서울특별시 영등포구 양평로24길 9, 109동 상가1-28호 (양평동5가, 양평동한신아파트)7204댕꾸르맛2023-03-13 17:41:23U2022-12-02 23:05:00.0단미190394.571819448656.726986<NA><NA><NA><NA><NA>
28318000031800000342022000620221208<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 신길동 318-5서울특별시 영등포구 가마산로65길 12, 1층 (신길동)7387댕파민2022-12-08 17:51:21I2021-11-01 23:00:00.0단미191692.413891444968.091654<NA><NA><NA><NA><NA>
2931800003180000034202300012023-06-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 신길동 159-7서울특별시 영등포구 도신로54길 3, 1층 (신길동)7348벌스데이레오2023-06-20 10:34:42I2022-12-05 22:02:00.0단미192398.956017445454.269809<NA><NA><NA><NA><NA>
3031800003180000034202300022023-10-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 양평동1가 89-9서울특별시 영등포구 선유동1로 19-1, 지층 (양평동1가)7262프리키니스2023-12-21 09:32:25U2022-11-01 22:03:00.0보조190350.790334446861.374836<NA><NA><NA><NA><NA>
3131800003180000034202300032023-10-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 영등포동7가 208 포레나 영등포 센트럴 B33호서울특별시 영등포구 국회대로50길 20, B층 33호 (영등포동7가, 포레나 영등포 센트럴)7246바르댕2023-10-12 14:52:18I2022-10-30 23:04:00.0단미191586.660635446798.452968<NA><NA><NA><NA><NA>
3231800003180000034202300042023-11-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 영등포구 도림동 232-13서울특별시 영등포구 도신로15다길 1, 102호 (도림동)7374디어피피 펫푸드 앤 카페2023-11-13 17:33:52I2022-10-31 23:05:00.0단미190924.981304444975.217448<NA><NA><NA><NA><NA>