Overview

Dataset statistics

Number of variables30
Number of observations45
Missing cells296
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory257.9 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16664/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (73.8%)Imbalance
업태구분명 is highly imbalanced (54.9%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 23 (51.1%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
전화번호 has 35 (77.8%) missing valuesMissing
소재지우편번호 has 45 (100.0%) missing valuesMissing
지번주소 has 1 (2.2%) missing valuesMissing
도로명주소 has 2 (4.4%) missing valuesMissing
도로명우편번호 has 2 (4.4%) missing valuesMissing
좌표정보(X) has 4 (8.9%) missing valuesMissing
좌표정보(Y) has 4 (8.9%) 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 01:42:22.552336
Analysis finished2024-05-11 01:42:23.248879
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3230000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 45
100.0%

Length

2024-05-11T01:42:23.392423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:23.581821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 45
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.23 × 1017
Minimum3.23 × 1017
Maximum3.23 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T01:42:23.839472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.23 × 1017
5-th percentile3.23 × 1017
Q13.23 × 1017
median3.23 × 1017
Q33.23 × 1017
95-th percentile3.23 × 1017
Maximum3.23 × 1017
Range150003
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation41518.092
Coefficient of variation (CV)1.2853898 × 10-13
Kurtosis-0.048298024
Mean3.23 × 1017
Median Absolute Deviation (MAD)19968
Skewness-0.91578703
Sum-3.9117439 × 1018
Variance1.723752 × 109
MonotonicityStrictly increasing
2024-05-11T01:42:24.119753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
323000003420090001 1
 
2.2%
323000003420210005 1
 
2.2%
323000003420200005 1
 
2.2%
323000003420200006 1
 
2.2%
323000003420200007 1
 
2.2%
323000003420200008 1
 
2.2%
323000003420200009 1
 
2.2%
323000003420210001 1
 
2.2%
323000003420210002 1
 
2.2%
323000003420210003 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
323000003420090001 1
2.2%
323000003420100001 1
2.2%
323000003420100002 1
2.2%
323000003420100003 1
2.2%
323000003420100004 1
2.2%
323000003420130001 1
2.2%
323000003420130002 1
2.2%
323000003420130003 1
2.2%
323000003420130004 1
2.2%
323000003420150001 1
2.2%
ValueCountFrequency (%)
323000003420240004 1
2.2%
323000003420240003 1
2.2%
323000003420240002 1
2.2%
323000003420240001 1
2.2%
323000003420230001 1
2.2%
323000003420220002 1
2.2%
323000003420220001 1
2.2%
323000003420210008 1
2.2%
323000003420210007 1
2.2%
323000003420210006 1
2.2%

인허가일자
Date

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2009-04-24 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T01:42:24.447424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:42:24.851150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
3
23 
1
22 

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 23
51.1%
1 22
48.9%

Length

2024-05-11T01:42:25.246418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:25.566036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
51.1%
1 22
48.9%

영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
23 
영업/정상
22 

Length

Max length5
Median length2
Mean length3.4666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
51.1%
영업/정상 22
48.9%

Length

2024-05-11T01:42:25.999233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:26.338487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
51.1%
영업/정상 22
48.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
2
23 
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 23
51.1%
0 22
48.9%

Length

2024-05-11T01:42:26.687386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:27.043430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 23
51.1%
0 22
48.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
23 
정상
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
51.1%
정상 22
48.9%

Length

2024-05-11T01:42:27.341107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:27.658645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
51.1%
정상 22
48.9%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)86.4%
Missing23
Missing (%)51.1%
Memory size492.0 B
Minimum2011-05-30 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T01:42:28.080411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:42:28.505732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)90.0%
Missing35
Missing (%)77.8%
Memory size492.0 B
2024-05-11T01:42:28.916490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.3
Min length9

Characters and Unicode

Total characters113
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

Unique8 ?
Unique (%)80.0%

Sample

1st row2281-6674
2nd row02-448-0100
3rd row02-409-9500
4th row2281-6674
5th row070-7797-7763
ValueCountFrequency (%)
2281-6674 2
20.0%
02-448-0100 1
10.0%
02-409-9500 1
10.0%
070-7797-7763 1
10.0%
02-407-3838 1
10.0%
070-7792-7770 1
10.0%
070-8858-3825 1
10.0%
02-2283-1530 1
10.0%
02-423-9806 1
10.0%
2024-05-11T01:42:29.739458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21
18.6%
- 18
15.9%
7 16
14.2%
2 14
12.4%
8 11
9.7%
4 7
 
6.2%
3 7
 
6.2%
6 6
 
5.3%
9 5
 
4.4%
1 4
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95
84.1%
Dash Punctuation 18
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
22.1%
7 16
16.8%
2 14
14.7%
8 11
11.6%
4 7
 
7.4%
3 7
 
7.4%
6 6
 
6.3%
9 5
 
5.3%
1 4
 
4.2%
5 4
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21
18.6%
- 18
15.9%
7 16
14.2%
2 14
12.4%
8 11
9.7%
4 7
 
6.2%
3 7
 
6.2%
6 6
 
5.3%
9 5
 
4.4%
1 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21
18.6%
- 18
15.9%
7 16
14.2%
2 14
12.4%
8 11
9.7%
4 7
 
6.2%
3 7
 
6.2%
6 6
 
5.3%
9 5
 
4.4%
1 4
 
3.5%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
0
43 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.1333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 43
95.6%
<NA> 2
 
4.4%

Length

2024-05-11T01:42:30.330337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:30.645047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
95.6%
na 2
 
4.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

지번주소
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing1
Missing (%)2.2%
Memory size492.0 B
2024-05-11T01:42:31.138941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length23.704545
Min length18

Characters and Unicode

Total characters1043
Distinct characters100
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)95.5%

Sample

1st row서울특별시 송파구 문정동 9-11 지하
2nd row서울특별시 송파구 방이동 168-17번지 305호
3rd row서울특별시 송파구 장지동 877
4th row서울특별시 송파구 거여동 35-10번지
5th row서울특별시 송파구 방이동 168-17 번지
ValueCountFrequency (%)
서울특별시 44
21.6%
송파구 44
21.6%
문정동 13
 
6.4%
석촌동 6
 
2.9%
방이동 4
 
2.0%
오금동 4
 
2.0%
송파동 4
 
2.0%
삼전동 3
 
1.5%
가락동 3
 
1.5%
장지동 3
 
1.5%
Other values (69) 76
37.3%
2024-05-11T01:42:32.076759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
17.8%
파 53
 
5.1%
송 51
 
4.9%
시 48
 
4.6%
동 45
 
4.3%
서 44
 
4.2%
울 44
 
4.2%
구 44
 
4.2%
별 44
 
4.2%
특 44
 
4.2%
Other values (90) 440
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
62.6%
Space Separator 186
 
17.8%
Decimal Number 169
 
16.2%
Dash Punctuation 35
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 53
 
8.1%
송 51
 
7.8%
시 48
 
7.4%
동 45
 
6.9%
서 44
 
6.7%
울 44
 
6.7%
구 44
 
6.7%
별 44
 
6.7%
특 44
 
6.7%
지 24
 
3.7%
Other values (78) 212
32.5%
Decimal Number
ValueCountFrequency (%)
1 39
23.1%
2 28
16.6%
6 19
11.2%
5 17
10.1%
7 14
 
8.3%
3 13
 
7.7%
9 12
 
7.1%
0 10
 
5.9%
4 9
 
5.3%
8 8
 
4.7%
Space Separator
ValueCountFrequency (%)
186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
62.6%
Common 390
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 53
 
8.1%
송 51
 
7.8%
시 48
 
7.4%
동 45
 
6.9%
서 44
 
6.7%
울 44
 
6.7%
구 44
 
6.7%
별 44
 
6.7%
특 44
 
6.7%
지 24
 
3.7%
Other values (78) 212
32.5%
Common
ValueCountFrequency (%)
186
47.7%
1 39
 
10.0%
- 35
 
9.0%
2 28
 
7.2%
6 19
 
4.9%
5 17
 
4.4%
7 14
 
3.6%
3 13
 
3.3%
9 12
 
3.1%
0 10
 
2.6%
Other values (2) 17
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
62.6%
ASCII 390
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
47.7%
1 39
 
10.0%
- 35
 
9.0%
2 28
 
7.2%
6 19
 
4.9%
5 17
 
4.4%
7 14
 
3.6%
3 13
 
3.3%
9 12
 
3.1%
0 10
 
2.6%
Other values (2) 17
 
4.4%
Hangul
ValueCountFrequency (%)
파 53
 
8.1%
송 51
 
7.8%
시 48
 
7.4%
동 45
 
6.9%
서 44
 
6.7%
울 44
 
6.7%
구 44
 
6.7%
별 44
 
6.7%
특 44
 
6.7%
지 24
 
3.7%
Other values (78) 212
32.5%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing2
Missing (%)4.4%
Memory size492.0 B
2024-05-11T01:42:32.790600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length34.046512
Min length23

Characters and Unicode

Total characters1464
Distinct characters131
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

Unique41 ?
Unique (%)95.3%

Sample

1st row서울특별시 송파구 송이로 196 (문정동)
2nd row서울특별시 송파구 헌릉로 793 (장지동)
3rd row서울특별시 송파구 거마로2길 28 (거여동)
4th row서울특별시 송파구 송이로 196 (문정동)
5th row서울특별시 송파구 송이로 196, 지층 (문정동)
ValueCountFrequency (%)
서울특별시 43
 
14.8%
송파구 43
 
14.8%
1층 15
 
5.2%
문정동 13
 
4.5%
가락로 7
 
2.4%
석촌동 6
 
2.1%
지하1층 4
 
1.4%
삼전동 4
 
1.4%
송파동 4
 
1.4%
오금동 4
 
1.4%
Other values (122) 148
50.9%
2024-05-11T01:42:33.852268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
16.9%
1 88
 
6.0%
송 57
 
3.9%
파 54
 
3.7%
동 49
 
3.3%
시 48
 
3.3%
로 46
 
3.1%
서 43
 
2.9%
( 43
 
2.9%
울 43
 
2.9%
Other values (121) 745
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
57.9%
Space Separator 248
 
16.9%
Decimal Number 231
 
15.8%
Open Punctuation 43
 
2.9%
Close Punctuation 43
 
2.9%
Other Punctuation 38
 
2.6%
Uppercase Letter 7
 
0.5%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 57
 
6.7%
파 54
 
6.4%
동 49
 
5.8%
시 48
 
5.7%
로 46
 
5.4%
서 43
 
5.1%
울 43
 
5.1%
구 43
 
5.1%
별 43
 
5.1%
특 43
 
5.1%
Other values (101) 379
44.7%
Decimal Number
ValueCountFrequency (%)
1 88
38.1%
3 35
 
15.2%
2 20
 
8.7%
0 19
 
8.2%
4 16
 
6.9%
5 14
 
6.1%
7 11
 
4.8%
8 10
 
4.3%
9 9
 
3.9%
6 9
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
B 2
28.6%
F 1
14.3%
C 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
57.9%
Common 609
41.6%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 57
 
6.7%
파 54
 
6.4%
동 49
 
5.8%
시 48
 
5.7%
로 46
 
5.4%
서 43
 
5.1%
울 43
 
5.1%
구 43
 
5.1%
별 43
 
5.1%
특 43
 
5.1%
Other values (101) 379
44.7%
Common
ValueCountFrequency (%)
248
40.7%
1 88
 
14.4%
( 43
 
7.1%
) 43
 
7.1%
, 38
 
6.2%
3 35
 
5.7%
2 20
 
3.3%
0 19
 
3.1%
4 16
 
2.6%
5 14
 
2.3%
Other values (5) 45
 
7.4%
Latin
ValueCountFrequency (%)
A 2
28.6%
B 2
28.6%
F 1
14.3%
C 1
14.3%
G 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
57.9%
ASCII 616
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
40.3%
1 88
 
14.3%
( 43
 
7.0%
) 43
 
7.0%
, 38
 
6.2%
3 35
 
5.7%
2 20
 
3.2%
0 19
 
3.1%
4 16
 
2.6%
5 14
 
2.3%
Other values (10) 52
 
8.4%
Hangul
ValueCountFrequency (%)
송 57
 
6.7%
파 54
 
6.4%
동 49
 
5.8%
시 48
 
5.7%
로 46
 
5.4%
서 43
 
5.1%
울 43
 
5.1%
구 43
 
5.1%
별 43
 
5.1%
특 43
 
5.1%
Other values (101) 379
44.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)86.0%
Missing2
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean5719.0233
Minimum5520
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T01:42:34.225605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5520
5-th percentile5546.9
Q15652.5
median5703
Q35818
95-th percentile5854
Maximum5855
Range335
Interquartile range (IQR)165.5

Descriptive statistics

Standard deviation104.65305
Coefficient of variation (CV)0.018299113
Kurtosis-1.1335566
Mean5719.0233
Median Absolute Deviation (MAD)93
Skewness-0.19774141
Sum245918
Variance10952.261
MonotonicityNot monotonic
2024-05-11T01:42:34.489860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5796 3
 
6.7%
5854 3
 
6.7%
5691 2
 
4.4%
5855 2
 
4.4%
5800 1
 
2.2%
5612 1
 
2.2%
5522 1
 
2.2%
5852 1
 
2.2%
5698 1
 
2.2%
5545 1
 
2.2%
Other values (27) 27
60.0%
(Missing) 2
 
4.4%
ValueCountFrequency (%)
5520 1
2.2%
5522 1
2.2%
5545 1
2.2%
5564 1
2.2%
5586 1
2.2%
5597 1
2.2%
5600 1
2.2%
5605 1
2.2%
5611 1
2.2%
5612 1
2.2%
ValueCountFrequency (%)
5855 2
4.4%
5854 3
6.7%
5852 1
 
2.2%
5849 1
 
2.2%
5842 1
 
2.2%
5841 1
 
2.2%
5839 1
 
2.2%
5836 1
 
2.2%
5800 1
 
2.2%
5798 1
 
2.2%

사업장명
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T01:42:34.937306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.2888889
Min length2

Characters and Unicode

Total characters238
Distinct characters125
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row도그쿡
2nd row(주)우리펫
3rd row(주)리클린
4th row코코맘마
5th row우리펫
ValueCountFrequency (%)
도그쿡 2
 
3.8%
하트너카페 1
 
1.9%
우츄츄 1
 
1.9%
주식회사 1
 
1.9%
와스컴퍼니 1
 
1.9%
포우티(pawty 1
 
1.9%
까까마켓 1
 
1.9%
펫라밸 1
 
1.9%
주)펫츠랜드 1
 
1.9%
주)싸이몬바이오 1
 
1.9%
Other values (41) 41
78.8%
2024-05-11T01:42:35.898505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
펫 10
 
4.2%
( 9
 
3.8%
) 9
 
3.8%
리 9
 
3.8%
주 7
 
2.9%
7
 
2.9%
스 6
 
2.5%
우 6
 
2.5%
이 4
 
1.7%
코 4
 
1.7%
Other values (115) 167
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
82.4%
Uppercase Letter 12
 
5.0%
Open Punctuation 9
 
3.8%
Close Punctuation 9
 
3.8%
Space Separator 7
 
2.9%
Lowercase Letter 4
 
1.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
펫 10
 
5.1%
리 9
 
4.6%
주 7
 
3.6%
스 6
 
3.1%
우 6
 
3.1%
이 4
 
2.0%
코 4
 
2.0%
까 4
 
2.0%
도 4
 
2.0%
프 4
 
2.0%
Other values (97) 138
70.4%
Uppercase Letter
ValueCountFrequency (%)
O 2
16.7%
Y 2
16.7%
W 1
8.3%
A 1
8.3%
T 1
8.3%
P 1
8.3%
L 1
8.3%
E 1
8.3%
V 1
8.3%
R 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
t 1
25.0%
e 1
25.0%
p 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
81.9%
Common 26
 
10.9%
Latin 16
 
6.7%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
펫 10
 
5.1%
리 9
 
4.6%
주 7
 
3.6%
스 6
 
3.1%
우 6
 
3.1%
이 4
 
2.1%
코 4
 
2.1%
까 4
 
2.1%
도 4
 
2.1%
프 4
 
2.1%
Other values (96) 137
70.3%
Latin
ValueCountFrequency (%)
O 2
12.5%
Y 2
12.5%
W 1
 
6.2%
A 1
 
6.2%
T 1
 
6.2%
P 1
 
6.2%
s 1
 
6.2%
t 1
 
6.2%
e 1
 
6.2%
p 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
( 9
34.6%
) 9
34.6%
7
26.9%
' 1
 
3.8%
Han
ValueCountFrequency (%)
樂 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
81.9%
ASCII 42
 
17.6%
CJK 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
펫 10
 
5.1%
리 9
 
4.6%
주 7
 
3.6%
스 6
 
3.1%
우 6
 
3.1%
이 4
 
2.1%
코 4
 
2.1%
까 4
 
2.1%
도 4
 
2.1%
프 4
 
2.1%
Other values (96) 137
70.3%
ASCII
ValueCountFrequency (%)
( 9
21.4%
) 9
21.4%
7
16.7%
O 2
 
4.8%
Y 2
 
4.8%
W 1
 
2.4%
A 1
 
2.4%
T 1
 
2.4%
P 1
 
2.4%
s 1
 
2.4%
Other values (8) 8
19.0%
CJK
ValueCountFrequency (%)
樂 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2011-05-31 09:18:46
Maximum2024-05-09 17:27:38
2024-05-11T01:42:36.196563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:42:36.631112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
U
23 
I
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 23
51.1%
I 22
48.9%

Length

2024-05-11T01:42:36.897442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:37.094924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 23
51.1%
i 22
48.9%

데이터갱신일자
Date

Distinct37
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T01:42:37.341057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:42:37.755588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
단미
38 
배합
6 
보조
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
단미 38
84.4%
배합 6
 
13.3%
보조 1
 
2.2%

Length

2024-05-11T01:42:38.145309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:38.464423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 38
84.4%
배합 6
 
13.3%
보조 1
 
2.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean210357.03
Minimum207677.9
Maximum212996.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T01:42:38.809907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207677.9
5-th percentile208058.46
Q1209107.44
median210551.89
Q3211211.01
95-th percentile212609.38
Maximum212996.76
Range5318.8652
Interquartile range (IQR)2103.5633

Descriptive statistics

Standard deviation1404.711
Coefficient of variation (CV)0.0066777469
Kurtosis-0.79487515
Mean210357.03
Median Absolute Deviation (MAD)997.62584
Skewness-0.17042625
Sum8624638.4
Variance1973213.1
MonotonicityNot monotonic
2024-05-11T01:42:39.251822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
211211.006492781 3
 
6.7%
208801.311949276 2
 
4.4%
211055.354732 1
 
2.2%
209049.75541496 1
 
2.2%
210632.254327228 1
 
2.2%
210558.0 1
 
2.2%
207677.897099004 1
 
2.2%
210780.126180232 1
 
2.2%
212193.427439158 1
 
2.2%
211913.26524622 1
 
2.2%
Other values (28) 28
62.2%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
207677.897099004 1
2.2%
207998.620655655 1
2.2%
208058.461367936 1
2.2%
208104.924990771 1
2.2%
208421.985306753 1
2.2%
208570.23058604 1
2.2%
208690.489557955 1
2.2%
208801.311949276 2
4.4%
209049.75541496 1
2.2%
209107.443183611 1
2.2%
ValueCountFrequency (%)
212996.76231763 1
2.2%
212641.295329373 1
2.2%
212609.377447603 1
2.2%
212193.427439158 1
2.2%
212064.18087645 1
2.2%
211913.26524622 1
2.2%
211818.812196751 1
2.2%
211756.727027593 1
2.2%
211549.511639105 1
2.2%
211518.870454251 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean444077.34
Minimum441477.66
Maximum447977.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T01:42:39.619469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441477.66
5-th percentile441730.92
Q1443131.6
median444312.54
Q3444895.88
95-th percentile445895.52
Maximum447977.81
Range6500.1518
Interquartile range (IQR)1764.2791

Descriptive statistics

Standard deviation1463.0376
Coefficient of variation (CV)0.0032945559
Kurtosis0.89953325
Mean444077.34
Median Absolute Deviation (MAD)724.06548
Skewness0.42672802
Sum18207171
Variance2140479
MonotonicityNot monotonic
2024-05-11T01:42:40.021598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
443131.604438054 3
 
6.7%
444097.398036767 2
 
4.4%
441477.658542 1
 
2.2%
444195.71972178 1
 
2.2%
444930.651701901 1
 
2.2%
442587.0 1
 
2.2%
445075.689190034 1
 
2.2%
441730.920486073 1
 
2.2%
444617.315100966 1
 
2.2%
444722.696137283 1
 
2.2%
Other values (28) 28
62.2%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
441477.658542 1
2.2%
441586.029967716 1
2.2%
441730.920486073 1
2.2%
441934.252100339 1
2.2%
442070.575741668 1
2.2%
442349.0 1
2.2%
442587.0 1
2.2%
442656.58648884 1
2.2%
442663.0 1
2.2%
442913.651142972 1
2.2%
ValueCountFrequency (%)
447977.810390237 1
2.2%
447929.330532003 1
2.2%
445895.515259907 1
2.2%
445643.889981483 1
2.2%
445075.689190034 1
2.2%
445036.606351982 1
2.2%
445000.170422556 1
2.2%
444966.316322377 1
2.2%
444930.651701901 1
2.2%
444912.217523837 1
2.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
사료제조업
28 
<NA>
17 

Length

Max length5
Median length5
Mean length4.6222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 28
62.2%
<NA> 17
37.8%

Length

2024-05-11T01:42:40.466710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:40.804729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 28
62.2%
na 17
37.8%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
단미
22 
<NA>
17 
배합
5 
보조
 
1

Length

Max length4
Median length2
Mean length2.7555556
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
단미 22
48.9%
<NA> 17
37.8%
배합 5
 
11.1%
보조 1
 
2.2%

Length

2024-05-11T01:42:41.039676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:41.397283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 22
48.9%
na 17
37.8%
배합 5
 
11.1%
보조 1
 
2.2%

축산일련번호
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
39 
0
6 

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
86.7%
0 6
 
13.3%

Length

2024-05-11T01:42:41.718591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:41.973339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
86.7%
0 6
 
13.3%

권리주체일련번호
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
000
21 
<NA>
17 
L00
7 

Length

Max length4
Median length3
Mean length3.3777778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd rowL00
3rd rowL00
4th row000
5th rowL00

Common Values

ValueCountFrequency (%)
000 21
46.7%
<NA> 17
37.8%
L00 7
 
15.6%

Length

2024-05-11T01:42:42.330619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:42.685871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 21
46.7%
na 17
37.8%
l00 7
 
15.6%

총인원
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
39 
0
6 

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
86.7%
0 6
 
13.3%

Length

2024-05-11T01:42:43.076246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:42:43.412018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
86.7%
0 6
 
13.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0323000032300000342009000120090424<NA>3폐업2폐업20200827<NA><NA><NA>2281-66740<NA>서울특별시 송파구 문정동 9-11 지하서울특별시 송파구 송이로 196 (문정동)5796도그쿡2020-08-27 15:47:22U2020-08-29 02:40:00.0배합211211.006493443131.604438사료제조업배합<NA>000<NA>
1323000032300000342010000120100811<NA>3폐업2폐업20110530<NA><NA><NA>02-448-0100<NA><NA>서울특별시 송파구 방이동 168-17번지 305호<NA><NA>(주)우리펫2011-05-31 09:25:10I2018-08-31 23:59:59.0단미210492.711927445643.889981사료제조업단미<NA>L00<NA>
2323000032300000342010000220100120<NA>1영업/정상0정상<NA><NA><NA><NA>02-409-95000<NA>서울특별시 송파구 장지동 877서울특별시 송파구 헌릉로 793 (장지동)5842(주)리클린2021-06-04 15:11:27U2021-06-06 02:40:00.0단미211055.354732441477.658542사료제조업단미<NA>L00<NA>
3323000032300000342010000320101214<NA>3폐업2폐업20181204<NA><NA><NA><NA>0<NA>서울특별시 송파구 거여동 35-10번지서울특별시 송파구 거마로2길 28 (거여동)5768코코맘마2018-12-04 09:30:15U2018-12-06 02:40:00.0단미212996.762318443459.122446사료제조업단미<NA>000<NA>
4323000032300000342010000420100810<NA>3폐업2폐업20110530<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 168-17 번지<NA><NA>우리펫2011-05-31 09:18:46I2018-08-31 23:59:59.0단미<NA><NA>사료제조업단미<NA>L00<NA>
5323000032300000342013000120130306<NA>3폐업2폐업20200827<NA><NA><NA><NA>0<NA>서울특별시 송파구 문정동 9-11서울특별시 송파구 송이로 196 (문정동)5796도그쿡2020-08-27 15:46:47U2020-08-29 02:40:00.0단미211211.006493443131.604438사료제조업단미<NA>000<NA>
6323000032300000342013000220130401<NA>3폐업2폐업20130604<NA><NA><NA>2281-66740<NA>서울특별시 송파구 문정동 9-11번지 지층서울특별시 송파구 송이로 196, 지층 (문정동)5796로얄독2013-06-10 16:03:33I2018-08-31 23:59:59.0배합211211.006493443131.604438사료제조업배합<NA>000<NA>
7323000032300000342013000320130702<NA>3폐업2폐업20150409<NA><NA><NA>070-7797-77630<NA>서울특별시 송파구 문정동 126-13번지서울특별시 송파구 송이로33길 16 (문정동)5798도그앤스낵2015-04-09 13:06:21I2018-08-31 23:59:59.0단미211756.727028442913.651143사료제조업단미<NA>000<NA>
8323000032300000342013000420131015<NA>3폐업2폐업20160128<NA><NA><NA><NA>0<NA>서울특별시 송파구 송파동 122-3번지 경덕빌딩 3층서울특별시 송파구 가락로 173-1 (송파동)5664차밍쿡2016-01-28 10:07:46I2018-08-31 23:59:59.0단미210028.701543444686.585971사료제조업단미<NA>000<NA>
932300003230000034201500012015-04-17<NA>3폐업2폐업2023-09-08<NA><NA><NA>02-407-38380<NA>서울특별시 송파구 문정동 110-17서울특별시 송파구 새말로17길 6 (문정동)5800(주)키친엠코리아2023-09-11 14:49:36U2022-12-08 23:03:00.0단미211549.511639442656.586489<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
35323000032300000342021000620210928<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 오금동 74-5서울특별시 송파구 마천로 143, 1층 (오금동)5723마롱가든2021-09-28 16:02:50I2021-09-30 00:23:02.0단미211913.265246444722.696137사료제조업단미00000
3632300003230000034202100072021-10-19<NA>3폐업2폐업2024-03-22<NA><NA><NA><NA>0<NA>서울특별시 송파구 장지동 884 위례2차아이파크서울특별시 송파구 위례광장로 230, 상가 1동 A-118호 (장지동, 위례2차아이파크)5849까까달래2024-03-22 14:23:23U2023-12-02 22:04:00.0단미212641.295329441934.2521<NA><NA><NA><NA><NA>
3732300003230000034202100082021-10-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 송파동 142-9 충북빌딩서울특별시 송파구 가락로 211, 충북빌딩 3층 301-5호 (송파동)5663오어트릿2024-04-25 09:42:04U2023-12-03 22:07:00.0단미210211.065428445036.606352<NA><NA><NA><NA><NA>
3832300003230000034202200012022-01-12<NA>3폐업2폐업2023-07-31<NA><NA><NA><NA>0<NA>서울특별시 송파구 오금동 32-5서울특별시 송파구 중대로33길 4, 1층 102호 (오금동)5660꽃개2023-08-07 14:41:14U2022-12-08 00:09:00.0단미211518.870454444849.510949<NA><NA><NA><NA><NA>
39323000032300000342022000220220816<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 송파동 95-37서울특별시 송파구 가락로 133, 1층 103호 (송파동)5668댕댕찹찹2022-08-16 13:56:53I2021-12-07 23:08:00.0단미209726.588698444460.86148<NA><NA><NA><NA><NA>
4032300003230000034202300012023-07-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 석촌동 226-5 대호빌딩서울특별시 송파구 가락로 33, 대호빌딩 1층 (석촌동)5691하프잇댕2023-07-28 13:37:30I2022-12-06 21:00:00.0단미208801.311949444097.398037<NA><NA><NA><NA><NA>
4132300003230000034202400012024-01-10<NA>1영업/정상0정상<NA><NA><NA><NA>02-423-98060<NA>서울특별시 송파구 방이동 51-2 청호빌딩서울특별시 송파구 백제고분로 501, 청호빌딩 지하1층 9호 (방이동)5545펫메즈코리아2024-01-10 16:19:47I2023-11-30 23:02:00.0단미210068.709244445895.51526<NA><NA><NA><NA><NA>
4232300003230000034202400022024-02-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 가락동 913 헬리오시티서울특별시 송파구 송파대로 345, 근린생활시설1A동 B049호 (가락동, 헬리오시티)5698하루언니2024-02-20 17:51:13I2023-12-01 22:02:00.0단미209412.19781443928.783342<NA><NA><NA><NA><NA>
4332300003230000034202400032024-04-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 장지동 895 송파와이즈더샵서울특별시 송파구 위례광장로 270, 1층 G113호 (장지동, 송파와이즈더샵)5852펫크닉2024-04-04 16:37:48I2023-12-04 00:06:00.0단미212609.377448441586.029968<NA><NA><NA><NA><NA>
4432300003230000034202400042024-05-09<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 풍납동 162-49서울특별시 송파구 풍성로 55, 지층 1호 (풍납동)5522제로네간식타임2024-05-09 17:27:38I2023-12-04 23:01:00.0단미210420.396115447977.81039<NA><NA><NA><NA><NA>