Overview

Dataset statistics

Number of variables30
Number of observations30
Missing cells187
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory259.4 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16644/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (64.7%)Imbalance
축산일련번호 is highly imbalanced (78.9%)Imbalance
총인원 is highly imbalanced (78.9%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 7 (23.3%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 24 (80.0%) missing valuesMissing
소재지우편번호 has 30 (100.0%) missing valuesMissing
지번주소 has 3 (10.0%) missing valuesMissing
도로명우편번호 has 3 (10.0%) 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 05:50:08.256622
Analysis finished2024-05-11 05:50:09.314936
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3030000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 30
100.0%

Length

2024-05-11T14:50:09.449788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:09.624593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 30
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.03 × 1017
Minimum3.03 × 1017
Maximum3.03 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T14:50:09.831330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.03 × 1017
5-th percentile3.03 × 1017
Q13.03 × 1017
median3.03 × 1017
Q33.03 × 1017
95-th percentile3.03 × 1017
Maximum3.03 × 1017
Range140002
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation34151.738
Coefficient of variation (CV)1.1271201 × 10-13
Kurtosis0.30218303
Mean3.03 × 1017
Median Absolute Deviation (MAD)25024
Skewness-0.5964981
Sum9.0900001 × 1018
Variance1.1663412 × 109
MonotonicityStrictly increasing
2024-05-11T14:50:10.066890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
303000003420090001 1
 
3.3%
303000003420180002 1
 
3.3%
303000003420230003 1
 
3.3%
303000003420230002 1
 
3.3%
303000003420230001 1
 
3.3%
303000003420210004 1
 
3.3%
303000003420210003 1
 
3.3%
303000003420210002 1
 
3.3%
303000003420210001 1
 
3.3%
303000003420200005 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
303000003420090001 1
3.3%
303000003420120001 1
3.3%
303000003420120002 1
3.3%
303000003420130001 1
3.3%
303000003420160001 1
3.3%
303000003420160002 1
3.3%
303000003420160003 1
3.3%
303000003420160004 1
3.3%
303000003420160005 1
3.3%
303000003420160006 1
3.3%
ValueCountFrequency (%)
303000003420230003 1
3.3%
303000003420230002 1
3.3%
303000003420230001 1
3.3%
303000003420210004 1
3.3%
303000003420210003 1
3.3%
303000003420210002 1
3.3%
303000003420210001 1
3.3%
303000003420200005 1
3.3%
303000003420200004 1
3.3%
303000003420200003 1
3.3%

인허가일자
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2009-11-23 00:00:00
Maximum2023-07-31 00:00:00
2024-05-11T14:50:10.276336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:10.479613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
23 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 23
76.7%
1 7
 
23.3%

Length

2024-05-11T14:50:10.676782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:10.840621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
76.7%
1 7
 
23.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
23 
영업/정상
7 

Length

Max length5
Median length2
Mean length2.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
76.7%
영업/정상 7
 
23.3%

Length

2024-05-11T14:50:11.056251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:11.226550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
76.7%
영업/정상 7
 
23.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2
23 
0
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 23
76.7%
0 7
 
23.3%

Length

2024-05-11T14:50:11.406017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:11.626547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 23
76.7%
0 7
 
23.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
23 
정상
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
76.7%
정상 7
 
23.3%

Length

2024-05-11T14:50:11.811030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:11.971436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
76.7%
정상 7
 
23.3%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)91.3%
Missing7
Missing (%)23.3%
Memory size372.0 B
Minimum2012-11-05 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T14:50:12.122863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:12.296393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing24
Missing (%)80.0%
Memory size372.0 B
2024-05-11T14:50:12.533377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.666667
Min length10

Characters and Unicode

Total characters70
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

Unique6 ?
Unique (%)100.0%

Sample

1st row070-4112-1717
2nd row02-499-4273
3rd row07087872116
4th row02-6241-8841
5th row0264049098
ValueCountFrequency (%)
070-4112-1717 1
16.7%
02-499-4273 1
16.7%
07087872116 1
16.7%
02-6241-8841 1
16.7%
0264049098 1
16.7%
070-8269-6667 1
16.7%
2024-05-11T14:50:12.921663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11
15.7%
7 9
12.9%
- 8
11.4%
1 8
11.4%
2 8
11.4%
4 7
10.0%
6 7
10.0%
8 6
8.6%
9 5
7.1%
3 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62
88.6%
Dash Punctuation 8
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
17.7%
7 9
14.5%
1 8
12.9%
2 8
12.9%
4 7
11.3%
6 7
11.3%
8 6
9.7%
9 5
8.1%
3 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11
15.7%
7 9
12.9%
- 8
11.4%
1 8
11.4%
2 8
11.4%
4 7
10.0%
6 7
10.0%
8 6
8.6%
9 5
7.1%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11
15.7%
7 9
12.9%
- 8
11.4%
1 8
11.4%
2 8
11.4%
4 7
10.0%
6 7
10.0%
8 6
8.6%
9 5
7.1%
3 1
 
1.4%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
<NA> 2
 
6.7%

Length

2024-05-11T14:50:13.125372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:13.285537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
na 2
 
6.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

지번주소
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-05-11T14:50:13.592020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length29.148148
Min length20

Characters and Unicode

Total characters787
Distinct characters81
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row서울특별시 성동구 성수동1가 668-61
2nd row서울특별시 성동구 성수동2가 277-30번지
3rd row서울특별시 성동구 성수동2가 277-30번지
4th row서울특별시 성동구 송정동 73-644번지 1층
5th row서울특별시 성동구 성수동1가 656-1045번지
ValueCountFrequency (%)
서울특별시 27
18.9%
성동구 27
18.9%
성수동1가 9
 
6.3%
성수동2가 8
 
5.6%
100 2
 
1.4%
응봉동 2
 
1.4%
금호동1가 2
 
1.4%
656-1683번지 2
 
1.4%
303호 2
 
1.4%
노선상가 2
 
1.4%
Other values (56) 60
42.0%
2024-05-11T14:50:14.199085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
16.1%
동 59
 
7.5%
성 47
 
6.0%
1 37
 
4.7%
2 29
 
3.7%
서 27
 
3.4%
특 27
 
3.4%
별 27
 
3.4%
시 27
 
3.4%
구 27
 
3.4%
Other values (71) 353
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
56.2%
Decimal Number 188
23.9%
Space Separator 127
 
16.1%
Dash Punctuation 21
 
2.7%
Uppercase Letter 9
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 59
13.3%
성 47
 
10.6%
서 27
 
6.1%
특 27
 
6.1%
별 27
 
6.1%
시 27
 
6.1%
구 27
 
6.1%
울 27
 
6.1%
가 27
 
6.1%
수 19
 
4.3%
Other values (53) 128
29.0%
Decimal Number
ValueCountFrequency (%)
1 37
19.7%
2 29
15.4%
0 24
12.8%
6 23
12.2%
3 18
9.6%
8 15
8.0%
5 15
8.0%
7 12
 
6.4%
4 11
 
5.9%
9 4
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
44.4%
H 1
 
11.1%
F 1
 
11.1%
O 1
 
11.1%
R 1
 
11.1%
U 1
 
11.1%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
56.2%
Common 336
42.7%
Latin 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 59
13.3%
성 47
 
10.6%
서 27
 
6.1%
특 27
 
6.1%
별 27
 
6.1%
시 27
 
6.1%
구 27
 
6.1%
울 27
 
6.1%
가 27
 
6.1%
수 19
 
4.3%
Other values (53) 128
29.0%
Common
ValueCountFrequency (%)
127
37.8%
1 37
 
11.0%
2 29
 
8.6%
0 24
 
7.1%
6 23
 
6.8%
- 21
 
6.2%
3 18
 
5.4%
8 15
 
4.5%
5 15
 
4.5%
7 12
 
3.6%
Other values (2) 15
 
4.5%
Latin
ValueCountFrequency (%)
B 4
44.4%
H 1
 
11.1%
F 1
 
11.1%
O 1
 
11.1%
R 1
 
11.1%
U 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
56.2%
ASCII 345
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
36.8%
1 37
 
10.7%
2 29
 
8.4%
0 24
 
7.0%
6 23
 
6.7%
- 21
 
6.1%
3 18
 
5.2%
8 15
 
4.3%
5 15
 
4.3%
7 12
 
3.5%
Other values (8) 24
 
7.0%
Hangul
ValueCountFrequency (%)
동 59
13.3%
성 47
 
10.6%
서 27
 
6.1%
특 27
 
6.1%
별 27
 
6.1%
시 27
 
6.1%
구 27
 
6.1%
울 27
 
6.1%
가 27
 
6.1%
수 19
 
4.3%
Other values (53) 128
29.0%

도로명주소
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T14:50:14.618561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length38.3
Min length28

Characters and Unicode

Total characters1149
Distinct characters103
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

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 성동구 서울숲4길 22-31 (성수동1가)
2nd row서울특별시 성동구 성수이로24길 31 601호 (성수동2가, 성진코원빌딩)
3rd row서울특별시 성동구 성수이로24길 31 601호 (성수동2가, 성진코원빌딩)
4th row서울특별시 성동구 광나루로11길 34, 1층 (송정동)
5th row서울특별시 성동구 왕십리로10길 1-6, 지층 (성수동1가)
ValueCountFrequency (%)
서울특별시 30
 
13.8%
성동구 30
 
13.8%
성수동1가 11
 
5.1%
성수동2가 8
 
3.7%
1층 8
 
3.7%
31 4
 
1.8%
3 3
 
1.4%
독서당로 3
 
1.4%
아차산로 3
 
1.4%
금호로 3
 
1.4%
Other values (95) 114
52.5%
2024-05-11T14:50:15.153398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
 
16.3%
동 69
 
6.0%
1 63
 
5.5%
성 62
 
5.4%
서 35
 
3.0%
, 33
 
2.9%
울 32
 
2.8%
2 31
 
2.7%
시 30
 
2.6%
별 30
 
2.6%
Other values (93) 577
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 666
58.0%
Decimal Number 190
 
16.5%
Space Separator 187
 
16.3%
Other Punctuation 33
 
2.9%
Close Punctuation 30
 
2.6%
Open Punctuation 30
 
2.6%
Uppercase Letter 7
 
0.6%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 69
 
10.4%
성 62
 
9.3%
서 35
 
5.3%
울 32
 
4.8%
시 30
 
4.5%
별 30
 
4.5%
특 30
 
4.5%
구 30
 
4.5%
수 29
 
4.4%
가 28
 
4.2%
Other values (72) 291
43.7%
Decimal Number
ValueCountFrequency (%)
1 63
33.2%
2 31
16.3%
0 24
 
12.6%
3 21
 
11.1%
4 12
 
6.3%
6 11
 
5.8%
8 10
 
5.3%
5 10
 
5.3%
7 5
 
2.6%
9 3
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
U 1
14.3%
H 1
14.3%
R 1
14.3%
O 1
14.3%
F 1
14.3%
Space Separator
ValueCountFrequency (%)
187
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 666
58.0%
Common 476
41.4%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 69
 
10.4%
성 62
 
9.3%
서 35
 
5.3%
울 32
 
4.8%
시 30
 
4.5%
별 30
 
4.5%
특 30
 
4.5%
구 30
 
4.5%
수 29
 
4.4%
가 28
 
4.2%
Other values (72) 291
43.7%
Common
ValueCountFrequency (%)
187
39.3%
1 63
 
13.2%
, 33
 
6.9%
2 31
 
6.5%
) 30
 
6.3%
( 30
 
6.3%
0 24
 
5.0%
3 21
 
4.4%
4 12
 
2.5%
6 11
 
2.3%
Other values (5) 34
 
7.1%
Latin
ValueCountFrequency (%)
B 2
28.6%
U 1
14.3%
H 1
14.3%
R 1
14.3%
O 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 666
58.0%
ASCII 483
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
38.7%
1 63
 
13.0%
, 33
 
6.8%
2 31
 
6.4%
) 30
 
6.2%
( 30
 
6.2%
0 24
 
5.0%
3 21
 
4.3%
4 12
 
2.5%
6 11
 
2.3%
Other values (11) 41
 
8.5%
Hangul
ValueCountFrequency (%)
동 69
 
10.4%
성 62
 
9.3%
서 35
 
5.3%
울 32
 
4.8%
시 30
 
4.5%
별 30
 
4.5%
특 30
 
4.5%
구 30
 
4.5%
수 29
 
4.4%
가 28
 
4.2%
Other values (72) 291
43.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)70.4%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean4763.4074
Minimum4702
Maximum4801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T14:50:15.332555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4702
5-th percentile4709.3
Q14736.5
median4778
Q34789
95-th percentile4798.1
Maximum4801
Range99
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation32.154984
Coefficient of variation (CV)0.0067504166
Kurtosis-1.1424074
Mean4763.4074
Median Absolute Deviation (MAD)18
Skewness-0.62093657
Sum128612
Variance1033.943
MonotonicityNot monotonic
2024-05-11T14:50:15.560679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4778 4
13.3%
4789 3
 
10.0%
4741 2
 
6.7%
4796 2
 
6.7%
4776 2
 
6.7%
4702 1
 
3.3%
4793 1
 
3.3%
4768 1
 
3.3%
4735 1
 
3.3%
4738 1
 
3.3%
Other values (9) 9
30.0%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
4702 1
3.3%
4709 1
3.3%
4710 1
3.3%
4718 1
3.3%
4727 1
3.3%
4728 1
3.3%
4735 1
3.3%
4738 1
3.3%
4741 2
6.7%
4768 1
3.3%
ValueCountFrequency (%)
4801 1
 
3.3%
4799 1
 
3.3%
4796 2
6.7%
4793 1
 
3.3%
4791 1
 
3.3%
4789 3
10.0%
4788 1
 
3.3%
4778 4
13.3%
4776 2
6.7%
4768 1
 
3.3%

사업장명
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T14:50:15.887147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.7666667
Min length3

Characters and Unicode

Total characters233
Distinct characters98
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

Unique22 ?
Unique (%)73.3%

Sample

1st row퓨어도그(Pure dog)
2nd row(주)알앤케이컴퍼니
3rd row(주)알앤케이컴퍼니
4th row쿠킹앤도그
5th row아지와나
ValueCountFrequency (%)
주식회사 3
 
8.3%
로이앤제이 2
 
5.6%
주)알앤케이컴퍼니 2
 
5.6%
와글팝 2
 
5.6%
아지와나(aziwana 2
 
5.6%
제이펫컴퍼니 1
 
2.8%
오띠모도떼 1
 
2.8%
투테일스 1
 
2.8%
스윗도그 1
 
2.8%
엔디어리스트 1
 
2.8%
Other values (20) 20
55.6%
2024-05-11T14:50:16.489490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 12
 
5.2%
( 10
 
4.3%
) 10
 
4.3%
앤 6
 
2.6%
a 6
 
2.6%
6
 
2.6%
도 5
 
2.1%
제 5
 
2.1%
와 5
 
2.1%
펫 5
 
2.1%
Other values (88) 163
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
68.2%
Lowercase Letter 29
 
12.4%
Uppercase Letter 19
 
8.2%
Open Punctuation 10
 
4.3%
Close Punctuation 10
 
4.3%
Space Separator 6
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 12
 
7.5%
앤 6
 
3.8%
도 5
 
3.1%
제 5
 
3.1%
와 5
 
3.1%
펫 5
 
3.1%
퍼 5
 
3.1%
주 5
 
3.1%
식 4
 
2.5%
스 4
 
2.5%
Other values (60) 103
64.8%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.7%
i 4
13.8%
e 3
10.3%
r 2
 
6.9%
s 2
 
6.9%
o 2
 
6.9%
n 2
 
6.9%
w 2
 
6.9%
u 1
 
3.4%
d 1
 
3.4%
Other values (4) 4
13.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
15.8%
E 3
15.8%
T 2
10.5%
D 2
10.5%
O 2
10.5%
Z 2
10.5%
R 1
 
5.3%
N 1
 
5.3%
L 1
 
5.3%
I 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
68.2%
Latin 48
 
20.6%
Common 26
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 12
 
7.5%
앤 6
 
3.8%
도 5
 
3.1%
제 5
 
3.1%
와 5
 
3.1%
펫 5
 
3.1%
퍼 5
 
3.1%
주 5
 
3.1%
식 4
 
2.5%
스 4
 
2.5%
Other values (60) 103
64.8%
Latin
ValueCountFrequency (%)
a 6
 
12.5%
i 4
 
8.3%
P 3
 
6.2%
e 3
 
6.2%
E 3
 
6.2%
r 2
 
4.2%
s 2
 
4.2%
T 2
 
4.2%
D 2
 
4.2%
O 2
 
4.2%
Other values (15) 19
39.6%
Common
ValueCountFrequency (%)
( 10
38.5%
) 10
38.5%
6
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
68.2%
ASCII 74
31.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 12
 
7.5%
앤 6
 
3.8%
도 5
 
3.1%
제 5
 
3.1%
와 5
 
3.1%
펫 5
 
3.1%
퍼 5
 
3.1%
주 5
 
3.1%
식 4
 
2.5%
스 4
 
2.5%
Other values (60) 103
64.8%
ASCII
ValueCountFrequency (%)
( 10
 
13.5%
) 10
 
13.5%
a 6
 
8.1%
6
 
8.1%
i 4
 
5.4%
P 3
 
4.1%
e 3
 
4.1%
E 3
 
4.1%
r 2
 
2.7%
s 2
 
2.7%
Other values (18) 25
33.8%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2012-11-05 18:03:55
Maximum2024-03-19 14:33:05
2024-05-11T14:50:16.737542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:16.966068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
17 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 17
56.7%
I 13
43.3%

Length

2024-05-11T14:50:17.219692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:17.506569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 17
56.7%
i 13
43.3%

데이터갱신일자
Date

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:01:00
2024-05-11T14:50:17.701374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:17.961390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
단미
23 
배합
6 
보조
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
단미 23
76.7%
배합 6
 
20.0%
보조 1
 
3.3%

Length

2024-05-11T14:50:18.262247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:18.560551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 23
76.7%
배합 6
 
20.0%
보조 1
 
3.3%

좌표정보(X)
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203771.31
Minimum201222.07
Maximum205892.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T14:50:18.757178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201222.07
5-th percentile201703.46
Q1202869.78
median203933.38
Q3204689.79
95-th percentile205603.31
Maximum205892.06
Range4669.9831
Interquartile range (IQR)1820.0167

Descriptive statistics

Standard deviation1261.9825
Coefficient of variation (CV)0.0061931315
Kurtosis-0.68491634
Mean203771.31
Median Absolute Deviation (MAD)989.97816
Skewness-0.2406213
Sum6113139.2
Variance1592599.8
MonotonicityNot monotonic
2024-05-11T14:50:18.988809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
203941.95153715 3
 
10.0%
205214.696074247 2
 
6.7%
202869.775808581 2
 
6.7%
205381.925213412 2
 
6.7%
203742.851800001 1
 
3.3%
202326.470897024 1
 
3.3%
204034.146529831 1
 
3.3%
202558.335435687 1
 
3.3%
205784.445648184 1
 
3.3%
202098.97937718 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
201222.07429303 1
3.3%
201669.803556903 1
3.3%
201744.588454732 1
3.3%
202098.97937718 1
3.3%
202326.470897024 1
3.3%
202475.0 1
3.3%
202558.335435687 1
3.3%
202869.775808581 2
6.7%
203017.021457357 1
3.3%
203742.851800001 1
3.3%
ValueCountFrequency (%)
205892.057363952 1
3.3%
205784.445648184 1
3.3%
205381.925213412 2
6.7%
205214.696074247 2
6.7%
204795.395339633 1
3.3%
204765.797779057 1
3.3%
204461.776750011 1
3.3%
204278.615754517 1
3.3%
204034.146529831 1
3.3%
203952.299414847 1
3.3%

좌표정보(Y)
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449629.22
Minimum448275.5
Maximum451906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T14:50:19.183886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448275.5
5-th percentile448572.71
Q1449307.79
median449488.27
Q3449893.14
95-th percentile451168.73
Maximum451906
Range3630.4964
Interquartile range (IQR)585.3552

Descriptive statistics

Standard deviation752.63435
Coefficient of variation (CV)0.0016739
Kurtosis2.6499782
Mean449629.22
Median Absolute Deviation (MAD)338.30241
Skewness1.2029974
Sum13488877
Variance566458.47
MonotonicityNot monotonic
2024-05-11T14:50:19.388383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
449567.05782932 3
 
10.0%
449326.791808157 2
 
6.7%
449963.043497672 2
 
6.7%
449143.983493357 2
 
6.7%
449363.915452341 1
 
3.3%
449954.683065141 1
 
3.3%
449893.531645905 1
 
3.3%
450951.715052434 1
 
3.3%
449451.98622544 1
 
3.3%
449891.972244601 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
448275.503583388 1
3.3%
448414.57829248 1
3.3%
448765.977811344 1
3.3%
448934.858771073 1
3.3%
449143.983493357 2
6.7%
449272.912713959 1
3.3%
449301.451523245 1
3.3%
449326.791808157 2
6.7%
449363.915452341 1
3.3%
449396.006914845 1
3.3%
ValueCountFrequency (%)
451906.0 1
3.3%
451346.281102634 1
3.3%
450951.715052434 1
3.3%
450230.677027104 1
3.3%
449963.043497672 2
6.7%
449954.683065141 1
3.3%
449893.531645905 1
3.3%
449891.972244601 1
3.3%
449820.58830938 1
3.3%
449723.748625516 1
3.3%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
사료제조업
19 
<NA>
11 

Length

Max length5
Median length5
Mean length4.6333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 19
63.3%
<NA> 11
36.7%

Length

2024-05-11T14:50:19.613626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:19.807012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 19
63.3%
na 11
36.7%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
단미
15 
<NA>
11 
배합
4 

Length

Max length4
Median length2
Mean length2.7333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 15
50.0%
<NA> 11
36.7%
배합 4
 
13.3%

Length

2024-05-11T14:50:20.049309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:20.243730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 15
50.0%
na 11
36.7%
배합 4
 
13.3%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T14:50:20.440390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:20.621069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

권리주체일련번호
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
000
16 
<NA>
11 
L00
3 

Length

Max length4
Median length3
Mean length3.3666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 16
53.3%
<NA> 11
36.7%
L00 3
 
10.0%

Length

2024-05-11T14:50:20.889454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:21.084494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 16
53.3%
na 11
36.7%
l00 3
 
10.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T14:50:21.286028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:21.488192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
030300003030000034200900012009-11-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동1가 668-61서울특별시 성동구 서울숲4길 22-31 (성수동1가)<NA>퓨어도그(Pure dog)2023-12-26 15:40:40U2022-11-01 22:08:00.0배합203742.8518449363.915452<NA><NA><NA><NA><NA>
1303000030300000342012000120120924<NA>3폐업2폐업20121105<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 277-30번지서울특별시 성동구 성수이로24길 31 601호 (성수동2가, 성진코원빌딩)<NA>(주)알앤케이컴퍼니2012-11-05 18:03:55I2018-08-31 23:59:59.0단미205381.925213449143.983493사료제조업단미<NA>L00<NA>
2303000030300000342012000220121115<NA>3폐업2폐업20170612<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 277-30번지서울특별시 성동구 성수이로24길 31 601호 (성수동2가, 성진코원빌딩)<NA>(주)알앤케이컴퍼니2017-06-12 21:03:06I2018-08-31 23:59:59.0배합205381.925213449143.983493사료제조업배합<NA>L00<NA>
3303000030300000342013000120130128<NA>3폐업2폐업20151126<NA><NA><NA><NA>0<NA>서울특별시 성동구 송정동 73-644번지 1층서울특별시 성동구 광나루로11길 34, 1층 (송정동)4801쿠킹앤도그2015-11-26 17:55:41I2018-08-31 23:59:59.0단미205892.057364449820.588309사료제조업단미<NA>000<NA>
4303000030300000342016000120160720<NA>3폐업2폐업20161221<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동1가 656-1045번지서울특별시 성동구 왕십리로10길 1-6, 지층 (성수동1가)4778아지와나2016-12-21 16:06:49I2018-08-31 23:59:59.0단미203919.151353449441.687409사료제조업단미<NA>000<NA>
5303000030300000342016000220160804<NA>3폐업2폐업20161201<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동1가 656-1683번지 303호서울특별시 성동구 아차산로 3, 303호 (성수동1가, 성수동 아파트형 공장 두앤캔하우스)4789멍이 수라간2016-12-01 18:01:32I2018-08-31 23:59:59.0배합203941.951537449567.057829사료제조업배합<NA>000<NA>
6303000030300000342016000320160930<NA>3폐업2폐업20180918<NA><NA><NA><NA>0<NA>서울특별시 성동구 도선동 69번지 성동삼성쉐르빌 101동 134호서울특별시 성동구 무학로6길 50, 101동 1층 134호 (도선동, 성동삼성쉐르빌)4709와글팝2018-09-18 16:11:34U2018-09-18 23:59:59.0단미203017.021457451346.281103사료제조업단미<NA>000<NA>
7303000030300000342016000420161129<NA>3폐업2폐업20181203<NA><NA><NA>070-4112-17170<NA>서울특별시 성동구 금호동4가 800번지 대우월드타운상가 208호서울특별시 성동구 독서당로 270, 208호 (금호동4가, 금호동 대우아파트)4738희또마미 수제간식2018-12-03 15:56:20U2018-12-05 02:40:00.0단미201669.803557449301.451523사료제조업단미<NA>000<NA>
8303000030300000342016000520161208<NA>3폐업2폐업20161228<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동1가 656-1683번지 301호내 303호서울특별시 성동구 아차산로 3, 3층 (성수동1가, 성수동아파트형공장두앤캔하우스)4789멍이수라간2016-12-29 09:00:55I2018-08-31 23:59:59.0단미203941.951537449567.057829사료제조업단미<NA>000<NA>
9303000030300000342016000620161219<NA>3폐업2폐업20170309<NA><NA><NA>02-499-42730<NA>서울특별시 성동구 성수동1가 668-127번지 우측서울특별시 성동구 서울숲6길 22, 1층 (성수동1가)4768아지와나(aZiwana)2017-03-09 15:47:41I2018-08-31 23:59:59.0단미203809.653071449445.056894사료제조업단미<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
20303000030300000342020000320200928<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성동구 금호동1가 514서울특별시 성동구 금호로 148-1, 1층 (금호동1가)4727오띠모도떼2020-10-08 11:13:14U2020-10-10 02:40:00.0단미201744.588455450230.677027사료제조업단미<NA>000<NA>
21303000030300000342020000420201124<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동2가 335-21서울특별시 성동구 성수이로 32-10 (성수동2가)4776투테일스2020-11-24 16:30:40I2020-11-26 00:23:07.0단미204765.797779448414.578292사료제조업단미<NA>000<NA>
2230300003030000034202000052020-11-24<NA>3폐업2폐업2021-12-31<NA><NA><NA><NA>0<NA>서울특별시 성동구 응봉동 100 노선상가 104호서울특별시 성동구 독서당로 398, 노선상가 104호 (응봉동)4741스윗도그2023-04-04 16:44:58U2022-12-04 00:06:00.0단미202869.775809449963.043498<NA><NA><NA><NA><NA>
23303000030300000342021000120210205<NA>3폐업2폐업20221219<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동1가 13-27서울특별시 성동구 상원10길 11-8 (성수동1가)4791제이펫컴퍼니2022-12-20 11:34:50U2021-11-01 22:02:00.0단미204278.615755449723.748626<NA><NA><NA><NA><NA>
24303000030300000342021000220210428<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성동구 금호동2가 1217 래미안하이리버 상가동 B101호서울특별시 성동구 금호로 105, 래미안하이리버 상가동 지하 1층 B101호 (금호동2가)4728도론(DORON)2021-04-28 15:33:51I2021-04-30 00:22:57.0단미202098.979377449891.972245사료제조업단미<NA>000<NA>
2530300003030000034202100032021-08-09<NA>3폐업2폐업2024-03-19<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동2가 278-51 윈스타워 B205호서울특별시 성동구 아차산로11길 27, 윈스타워 지하2층 205호 (성수동2가)4796로이앤제이2024-03-19 14:17:58U2023-12-02 22:01:00.0단미205214.696074449326.791808<NA><NA><NA><NA><NA>
2630300003030000034202100042021-08-09<NA>3폐업2폐업2024-03-19<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동2가 278-51 윈스타워 B205호서울특별시 성동구 아차산로11길 27, 윈스타워 지하2층 205호 (성수동2가)4796로이앤제이2024-03-19 14:33:05U2023-12-02 22:01:00.0배합205214.696074449326.791808<NA><NA><NA><NA><NA>
2730300003030000034202300012023-02-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동2가 281-20 에프비 107호서울특별시 성동구 광나루로8길 31, 지1층 에프비107호 (성수동2가)4799주식회사 엔디어리스트2023-02-01 13:38:13I2022-12-02 00:03:00.0단미205784.445648449451.986225<NA><NA><NA><NA><NA>
2830300003030000034202300022023-06-08<NA>1영업/정상0정상<NA><NA><NA><NA>070-8269-66670<NA>서울특별시 성동구 하왕십리동 982-8서울특별시 성동구 무학봉길 63, 1층 (하왕십리동)4710버블퍼피(펫푸드)2023-06-08 17:31:26I2022-12-05 23:00:00.0단미202558.335436450951.715052<NA><NA><NA><NA><NA>
2930300003030000034202300032023-07-31<NA>3폐업2폐업2024-01-16<NA><NA><NA><NA>0<NA>서울특별시 성동구 성수동1가 656-882 더 스페이스 타워서울특별시 성동구 광나루로 144, 더 스페이스 타워 401호 (성수동1가)4788주식회사 엠제이바이오젠2024-01-16 17:33:55U2023-11-30 23:08:00.0보조204034.14653449893.531646<NA><NA><NA><NA><NA>