Overview

Dataset statistics

Number of variables30
Number of observations60
Missing cells573
Missing cells (%)31.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.2 KiB
Average record size in memory260.2 B

Variable types

Categorical9
Numeric5
DateTime4
Unsupported8
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16510/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 22 (36.7%) missing valuesMissing
휴업시작일자 has 60 (100.0%) missing valuesMissing
휴업종료일자 has 60 (100.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
소재지면적 has 1 (1.7%) missing valuesMissing
소재지우편번호 has 60 (100.0%) missing valuesMissing
도로명주소 has 15 (25.0%) missing valuesMissing
도로명우편번호 has 33 (55.0%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
좌표정보(X) has 11 (18.3%) missing valuesMissing
좌표정보(Y) has 11 (18.3%) missing valuesMissing
축산물가공업구분명 has 60 (100.0%) missing valuesMissing
축산일련번호 has 60 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 26 (43.3%) zerosZeros

Reproduction

Analysis started2024-04-06 12:01:06.412714
Analysis finished2024-04-06 12:01:07.125586
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3190000
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 60
100.0%

Length

2024-04-06T21:01:07.253917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:07.440181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 60
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.19 × 1017
Minimum3.19 × 1017
Maximum3.19 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-06T21:01:07.657482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.19 × 1017
5-th percentile3.19 × 1017
Q13.19 × 1017
median3.19 × 1017
Q33.19 × 1017
95-th percentile3.19 × 1017
Maximum3.19 × 1017
Range590000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation101572.37
Coefficient of variation (CV)3.1840868 × 10-13
Kurtosis4.2873346
Mean3.19 × 1017
Median Absolute Deviation (MAD)55040
Skewness-1.4835607
Sum6.9325599 × 1017
Variance1.0316946 × 1010
MonotonicityStrictly increasing
2024-04-06T21:01:07.915395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
319000001019640001 1
 
1.7%
319000001020070001 1
 
1.7%
319000001020080001 1
 
1.7%
319000001020080002 1
 
1.7%
319000001020090001 1
 
1.7%
319000001020100001 1
 
1.7%
319000001020100002 1
 
1.7%
319000001020100003 1
 
1.7%
319000001020100004 1
 
1.7%
319000001020100005 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
319000001019640001 1
1.7%
319000001019760001 1
1.7%
319000001019840001 1
1.7%
319000001019910001 1
1.7%
319000001019920001 1
1.7%
319000001019940001 1
1.7%
319000001019950001 1
1.7%
319000001019980001 1
1.7%
319000001019990001 1
1.7%
319000001019990002 1
1.7%
ValueCountFrequency (%)
319000001020230001 1
1.7%
319000001020200002 1
1.7%
319000001020200001 1
1.7%
319000001020190001 1
1.7%
319000001020180001 1
1.7%
319000001020170001 1
1.7%
319000001020160001 1
1.7%
319000001020140001 1
1.7%
319000001020130002 1
1.7%
319000001020130001 1
1.7%

인허가일자
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum1964-07-02 00:00:00
Maximum2023-10-05 00:00:00
2024-04-06T21:01:08.197591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:01:08.470084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
40 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
66.7%
1 20
33.3%

Length

2024-04-06T21:01:08.726994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:08.893575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
66.7%
1 20
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
40 
영업/정상
20 

Length

Max length5
Median length2
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
66.7%
영업/정상 20
33.3%

Length

2024-04-06T21:01:09.120342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:09.331771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
66.7%
영업/정상 20
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2
40 
0
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 40
66.7%
0 20
33.3%

Length

2024-04-06T21:01:09.528290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:09.718442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 40
66.7%
0 20
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
40 
정상
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
66.7%
정상 20
33.3%

Length

2024-04-06T21:01:09.887192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:10.071484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
66.7%
정상 20
33.3%

폐업일자
Date

MISSING 

Distinct38
Distinct (%)100.0%
Missing22
Missing (%)36.7%
Memory size612.0 B
Minimum2000-02-24 00:00:00
Maximum2024-01-31 00:00:00
2024-04-06T21:01:10.261223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:01:10.537915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전화번호
Text

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T21:01:10.966259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.116667
Min length8

Characters and Unicode

Total characters607
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

Unique52 ?
Unique (%)86.7%

Sample

1st row815-8815
2nd row02-813-9952
3rd row3472-1188
4th row823-9680
5th row02-532-1740
ValueCountFrequency (%)
3472-1188 2
 
3.3%
821-3181 2
 
3.3%
813-9619 2
 
3.3%
02-3280-8275 2
 
3.3%
02-812-7585 1
 
1.7%
02-6959-0759 1
 
1.7%
815-8815 1
 
1.7%
02-823-7500 1
 
1.7%
02-813-7579 1
 
1.7%
02-822-7582 1
 
1.7%
Other values (46) 46
76.7%
2024-04-06T21:01:11.718199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
16.1%
2 92
15.2%
8 78
12.9%
0 66
10.9%
5 66
10.9%
7 57
9.4%
1 44
7.2%
3 35
 
5.8%
9 32
 
5.3%
6 24
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 509
83.9%
Dash Punctuation 98
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 92
18.1%
8 78
15.3%
0 66
13.0%
5 66
13.0%
7 57
11.2%
1 44
8.6%
3 35
 
6.9%
9 32
 
6.3%
6 24
 
4.7%
4 15
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 607
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
16.1%
2 92
15.2%
8 78
12.9%
0 66
10.9%
5 66
10.9%
7 57
9.4%
1 44
7.2%
3 35
 
5.8%
9 32
 
5.3%
6 24
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
16.1%
2 92
15.2%
8 78
12.9%
0 66
10.9%
5 66
10.9%
7 57
9.4%
1 44
7.2%
3 35
 
5.8%
9 32
 
5.3%
6 24
 
4.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)55.9%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean46.108983
Minimum0
Maximum258.72
Zeros26
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-06T21:01:12.026457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30.13
Q369.805
95-th percentile158.805
Maximum258.72
Range258.72
Interquartile range (IQR)69.805

Descriptive statistics

Standard deviation59.226576
Coefficient of variation (CV)1.2844911
Kurtosis2.6798596
Mean46.108983
Median Absolute Deviation (MAD)30.13
Skewness1.6218719
Sum2720.43
Variance3507.7873
MonotonicityNot monotonic
2024-04-06T21:01:12.321182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 26
43.3%
108.0 2
 
3.3%
49.85 1
 
1.7%
154.45 1
 
1.7%
83.3 1
 
1.7%
79.2 1
 
1.7%
143.51 1
 
1.7%
35.0 1
 
1.7%
88.48 1
 
1.7%
209.99 1
 
1.7%
Other values (23) 23
38.3%
ValueCountFrequency (%)
0.0 26
43.3%
23.2 1
 
1.7%
29.7 1
 
1.7%
29.8 1
 
1.7%
30.13 1
 
1.7%
30.8 1
 
1.7%
30.84 1
 
1.7%
32.5 1
 
1.7%
33.44 1
 
1.7%
35.0 1
 
1.7%
ValueCountFrequency (%)
258.72 1
1.7%
209.99 1
1.7%
198.0 1
1.7%
154.45 1
1.7%
143.51 1
1.7%
132.66 1
1.7%
108.0 2
3.3%
106.94 1
1.7%
99.0 1
1.7%
88.48 1
1.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

지번주소
Text

Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T21:01:12.766887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29.5
Mean length24.516667
Min length17

Characters and Unicode

Total characters1471
Distinct characters72
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

Unique54 ?
Unique (%)90.0%

Sample

1st row서울특별시 동작구 흑석동 109-1 번지
2nd row서울특별시 동작구 흑석동 8-32번지 1층
3rd row서울특별시 동작구 사당동 147-48번지 화인빌딩 1층
4th row서울특별시 동작구 상도동 365-9 번지
5th row서울특별시 동작구 사당동 265-12
ValueCountFrequency (%)
서울특별시 60
21.3%
동작구 60
21.3%
사당동 17
 
6.0%
상도동 16
 
5.7%
번지 11
 
3.9%
대방동 9
 
3.2%
흑석동 9
 
3.2%
1층 7
 
2.5%
상도1동 4
 
1.4%
노량진동 3
 
1.1%
Other values (77) 86
30.5%
2024-04-06T21:01:13.609957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
19.4%
동 123
 
8.4%
작 61
 
4.1%
서 60
 
4.1%
구 60
 
4.1%
울 60
 
4.1%
시 60
 
4.1%
별 60
 
4.1%
특 60
 
4.1%
1 59
 
4.0%
Other values (62) 582
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
56.6%
Decimal Number 297
 
20.2%
Space Separator 286
 
19.4%
Dash Punctuation 52
 
3.5%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 123
14.8%
작 61
 
7.3%
서 60
 
7.2%
구 60
 
7.2%
울 60
 
7.2%
시 60
 
7.2%
별 60
 
7.2%
특 60
 
7.2%
지 45
 
5.4%
번 43
 
5.2%
Other values (49) 200
24.0%
Decimal Number
ValueCountFrequency (%)
1 59
19.9%
2 51
17.2%
4 40
13.5%
3 37
12.5%
0 31
10.4%
6 19
 
6.4%
5 17
 
5.7%
7 17
 
5.7%
8 16
 
5.4%
9 10
 
3.4%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
56.6%
Common 635
43.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 123
14.8%
작 61
 
7.3%
서 60
 
7.2%
구 60
 
7.2%
울 60
 
7.2%
시 60
 
7.2%
별 60
 
7.2%
특 60
 
7.2%
지 45
 
5.4%
번 43
 
5.2%
Other values (49) 200
24.0%
Common
ValueCountFrequency (%)
286
45.0%
1 59
 
9.3%
- 52
 
8.2%
2 51
 
8.0%
4 40
 
6.3%
3 37
 
5.8%
0 31
 
4.9%
6 19
 
3.0%
5 17
 
2.7%
7 17
 
2.7%
Other values (2) 26
 
4.1%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 832
56.6%
ASCII 639
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
44.8%
1 59
 
9.2%
- 52
 
8.1%
2 51
 
8.0%
4 40
 
6.3%
3 37
 
5.8%
0 31
 
4.9%
6 19
 
3.0%
5 17
 
2.7%
7 17
 
2.7%
Other values (3) 30
 
4.7%
Hangul
ValueCountFrequency (%)
동 123
14.8%
작 61
 
7.3%
서 60
 
7.2%
구 60
 
7.2%
울 60
 
7.2%
시 60
 
7.2%
별 60
 
7.2%
특 60
 
7.2%
지 45
 
5.4%
번 43
 
5.2%
Other values (49) 200
24.0%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)93.3%
Missing15
Missing (%)25.0%
Memory size612.0 B
2024-04-06T21:01:14.063485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length28.222222
Min length22

Characters and Unicode

Total characters1270
Distinct characters91
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

Unique39 ?
Unique (%)86.7%

Sample

1st row서울특별시 동작구 현충로 100, 1층 (흑석동)
2nd row서울특별시 동작구 사당로 308 (사당동,화인빌딩 1층)
3rd row서울특별시 동작구 사당로 229 (사당동)
4th row서울특별시 동작구 상도로 71 (대방동)
5th row서울특별시 동작구 남부순환로 2051 (사당동)
ValueCountFrequency (%)
서울특별시 45
17.2%
동작구 45
17.2%
1층 14
 
5.3%
상도로 13
 
5.0%
사당동 12
 
4.6%
상도동 10
 
3.8%
사당로 8
 
3.1%
흑석동 7
 
2.7%
대방동 6
 
2.3%
상도1동 4
 
1.5%
Other values (78) 98
37.4%
2024-04-06T21:01:14.744507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
17.1%
동 96
 
7.6%
1 58
 
4.6%
작 49
 
3.9%
서 46
 
3.6%
특 45
 
3.5%
별 45
 
3.5%
시 45
 
3.5%
구 45
 
3.5%
울 45
 
3.5%
Other values (81) 579
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
58.7%
Space Separator 217
 
17.1%
Decimal Number 186
 
14.6%
Close Punctuation 45
 
3.5%
Open Punctuation 45
 
3.5%
Other Punctuation 26
 
2.0%
Dash Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 96
 
12.9%
작 49
 
6.6%
서 46
 
6.2%
특 45
 
6.0%
별 45
 
6.0%
시 45
 
6.0%
구 45
 
6.0%
울 45
 
6.0%
로 45
 
6.0%
상 31
 
4.2%
Other values (65) 253
34.0%
Decimal Number
ValueCountFrequency (%)
1 58
31.2%
2 37
19.9%
0 20
 
10.8%
3 17
 
9.1%
8 12
 
6.5%
7 11
 
5.9%
4 10
 
5.4%
5 9
 
4.8%
6 6
 
3.2%
9 6
 
3.2%
Space Separator
ValueCountFrequency (%)
217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
58.7%
Common 522
41.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 96
 
12.9%
작 49
 
6.6%
서 46
 
6.2%
특 45
 
6.0%
별 45
 
6.0%
시 45
 
6.0%
구 45
 
6.0%
울 45
 
6.0%
로 45
 
6.0%
상 31
 
4.2%
Other values (65) 253
34.0%
Common
ValueCountFrequency (%)
217
41.6%
1 58
 
11.1%
) 45
 
8.6%
( 45
 
8.6%
2 37
 
7.1%
, 26
 
5.0%
0 20
 
3.8%
3 17
 
3.3%
8 12
 
2.3%
7 11
 
2.1%
Other values (5) 34
 
6.5%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
58.7%
ASCII 525
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
41.3%
1 58
 
11.0%
) 45
 
8.6%
( 45
 
8.6%
2 37
 
7.0%
, 26
 
5.0%
0 20
 
3.8%
3 17
 
3.2%
8 12
 
2.3%
7 11
 
2.1%
Other values (6) 37
 
7.0%
Hangul
ValueCountFrequency (%)
동 96
 
12.9%
작 49
 
6.6%
서 46
 
6.2%
특 45
 
6.0%
별 45
 
6.0%
시 45
 
6.0%
구 45
 
6.0%
울 45
 
6.0%
로 45
 
6.0%
상 31
 
4.2%
Other values (65) 253
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)77.8%
Missing33
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean6972.4074
Minimum6919
Maximum7055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-06T21:01:14.974308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6919
5-th percentile6921
Q16957
median6977
Q36982
95-th percentile7013.7
Maximum7055
Range136
Interquartile range (IQR)25

Descriptive statistics

Standard deviation31.659558
Coefficient of variation (CV)0.0045406925
Kurtosis0.64289524
Mean6972.4074
Median Absolute Deviation (MAD)16
Skewness0.31425861
Sum188255
Variance1002.3276
MonotonicityNot monotonic
2024-04-06T21:01:15.208366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6979 4
 
6.7%
6964 2
 
3.3%
6970 2
 
3.3%
6921 2
 
3.3%
7013 1
 
1.7%
6977 1
 
1.7%
6980 1
 
1.7%
6919 1
 
1.7%
6993 1
 
1.7%
7009 1
 
1.7%
Other values (11) 11
 
18.3%
(Missing) 33
55.0%
ValueCountFrequency (%)
6919 1
1.7%
6921 2
3.3%
6929 1
1.7%
6937 1
1.7%
6952 1
1.7%
6954 1
1.7%
6960 1
1.7%
6964 2
3.3%
6965 1
1.7%
6970 2
3.3%
ValueCountFrequency (%)
7055 1
 
1.7%
7014 1
 
1.7%
7013 1
 
1.7%
7009 1
 
1.7%
7008 1
 
1.7%
6993 1
 
1.7%
6983 1
 
1.7%
6981 1
 
1.7%
6980 1
 
1.7%
6979 4
6.7%

사업장명
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-06T21:01:15.965276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length7.3833333
Min length5

Characters and Unicode

Total characters443
Distinct characters120
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

Unique44 ?
Unique (%)73.3%

Sample

1st row이승배수의과병원
2nd row중앙동물병원
3rd row야셀동물병원
4th row상도동물병원
5th row모범동물병원
ValueCountFrequency (%)
야셀동물병원 2
 
2.9%
원동물병원 2
 
2.9%
쿠키동물병원 2
 
2.9%
인동물병원 2
 
2.9%
굿모닝동물병원 2
 
2.9%
디아크동물종합병원 2
 
2.9%
피닉스동물병원 2
 
2.9%
종합동물병원 2
 
2.9%
유케어종합동물병원 2
 
2.9%
동물병원 2
 
2.9%
Other values (48) 48
70.6%
2024-04-06T21:01:16.626920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 60
 
13.5%
물 59
 
13.3%
원 59
 
13.3%
병 57
 
12.9%
종 8
 
1.8%
합 8
 
1.8%
8
 
1.8%
나 7
 
1.6%
다 6
 
1.4%
스 5
 
1.1%
Other values (110) 166
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
94.4%
Lowercase Letter 9
 
2.0%
Space Separator 8
 
1.8%
Decimal Number 4
 
0.9%
Uppercase Letter 3
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
14.4%
물 59
14.1%
원 59
14.1%
병 57
 
13.6%
종 8
 
1.9%
합 8
 
1.9%
나 7
 
1.7%
다 6
 
1.4%
스 5
 
1.2%
석 4
 
1.0%
Other values (97) 145
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
t 2
22.2%
o 1
 
11.1%
g 1
 
11.1%
h 1
 
11.1%
r 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
T 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
94.4%
Common 13
 
2.9%
Latin 12
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
14.4%
물 59
14.1%
원 59
14.1%
병 57
 
13.6%
종 8
 
1.9%
합 8
 
1.9%
나 7
 
1.7%
다 6
 
1.4%
스 5
 
1.2%
석 4
 
1.0%
Other values (97) 145
34.7%
Latin
ValueCountFrequency (%)
e 3
25.0%
t 2
16.7%
S 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
o 1
 
8.3%
g 1
 
8.3%
h 1
 
8.3%
r 1
 
8.3%
Common
ValueCountFrequency (%)
8
61.5%
4 2
 
15.4%
2 2
 
15.4%
' 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
94.4%
ASCII 25
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 60
14.4%
물 59
14.1%
원 59
14.1%
병 57
 
13.6%
종 8
 
1.9%
합 8
 
1.9%
나 7
 
1.7%
다 6
 
1.4%
스 5
 
1.2%
석 4
 
1.0%
Other values (97) 145
34.7%
ASCII
ValueCountFrequency (%)
8
32.0%
e 3
 
12.0%
4 2
 
8.0%
t 2
 
8.0%
2 2
 
8.0%
S 1
 
4.0%
' 1
 
4.0%
P 1
 
4.0%
T 1
 
4.0%
o 1
 
4.0%
Other values (3) 3
 
12.0%

최종수정일자
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2003-04-23 15:01:17
Maximum2024-04-03 15:06:13
2024-04-06T21:01:16.838873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:01:17.192040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
39 
U
21 

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 (%)
I 39
65.0%
U 21
35.0%

Length

2024-04-06T21:01:17.704784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:17.992395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
65.0%
u 21
35.0%

데이터갱신일자
Date

Distinct20
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T21:01:18.211769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:01:18.516530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing11
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean195800.59
Minimum192170.16
Maximum198296.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-06T21:01:18.855541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192170.16
5-th percentile193142.59
Q1194144.12
median195574.46
Q3197574.14
95-th percentile198230.42
Maximum198296.91
Range6126.7532
Interquartile range (IQR)3430.0167

Descriptive statistics

Standard deviation1837.2986
Coefficient of variation (CV)0.0093835189
Kurtosis-1.3175786
Mean195800.59
Median Absolute Deviation (MAD)1673.6296
Skewness-0.21624427
Sum9594229.1
Variance3375666.1
MonotonicityNot monotonic
2024-04-06T21:01:19.153243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
195513.500592881 2
 
3.3%
194835.762213041 2
 
3.3%
197768.078776787 2
 
3.3%
193334.092669283 2
 
3.3%
197145.960028428 2
 
3.3%
193273.484014052 2
 
3.3%
196801.359624316 2
 
3.3%
194540.460292957 1
 
1.7%
193055.319381402 1
 
1.7%
196966.286046163 1
 
1.7%
Other values (32) 32
53.3%
(Missing) 11
 
18.3%
ValueCountFrequency (%)
192170.155815215 1
1.7%
192929.646582958 1
1.7%
193055.319381402 1
1.7%
193273.484014052 2
3.3%
193334.092669283 2
3.3%
193339.388708545 1
1.7%
193462.167708003 1
1.7%
193622.003569768 1
1.7%
193953.121257589 1
1.7%
194133.938460958 1
1.7%
ValueCountFrequency (%)
198296.909027397 1
1.7%
198290.987454945 1
1.7%
198276.50229336 1
1.7%
198161.292479758 1
1.7%
198128.497755331 1
1.7%
198088.109362102 1
1.7%
197869.588931315 1
1.7%
197865.153767475 1
1.7%
197790.556730166 1
1.7%
197768.078776787 2
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing11
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean443910.33
Minimum441627.44
Maximum445512.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-06T21:01:19.577892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441627.44
5-th percentile442178.42
Q1442633
median444203.27
Q3444775.98
95-th percentile445337.09
Maximum445512.5
Range3885.0672
Interquartile range (IQR)2142.9777

Descriptive statistics

Standard deviation1118.8861
Coefficient of variation (CV)0.0025205228
Kurtosis-1.0268199
Mean443910.33
Median Absolute Deviation (MAD)728.49694
Skewness-0.53132399
Sum21751606
Variance1251906.1
MonotonicityNot monotonic
2024-04-06T21:01:20.011259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
444291.415366818 2
 
3.3%
444759.157628603 2
 
3.3%
442831.35560169 2
 
3.3%
445512.5038184 2
 
3.3%
442632.999788177 2
 
3.3%
445011.250115029 2
 
3.3%
445056.759115545 2
 
3.3%
445499.769649145 1
 
1.7%
444170.270949995 1
 
1.7%
444931.77134833 1
 
1.7%
Other values (32) 32
53.3%
(Missing) 11
 
18.3%
ValueCountFrequency (%)
441627.436611564 1
1.7%
441659.830528439 1
1.7%
442079.914970215 1
1.7%
442326.174711123 1
1.7%
442368.30278929 1
1.7%
442391.300903019 1
1.7%
442442.240746884 1
1.7%
442465.155185241 1
1.7%
442514.202527665 1
1.7%
442526.629721158 1
1.7%
ValueCountFrequency (%)
445512.5038184 2
3.3%
445499.769649145 1
1.7%
445093.070865622 1
1.7%
445056.759115545 2
3.3%
445011.250115029 2
3.3%
444939.455414947 1
1.7%
444931.77134833 1
1.7%
444855.902072871 1
1.7%
444830.342209568 1
1.7%
444775.977468284 1
1.7%

축산업무구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
동물병원
51 
<NA>
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 51
85.0%
<NA> 9
 
15.0%

Length

2024-04-06T21:01:20.412306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:20.594989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 51
85.0%
na 9
 
15.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
51 
<NA>
9 

Length

Max length4
Median length1
Mean length1.45
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 51
85.0%
<NA> 9
 
15.0%

Length

2024-04-06T21:01:20.796452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:20.997634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
85.0%
na 9
 
15.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
93.3%
0 4
 
6.7%

Length

2024-04-06T21:01:21.217344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:21.399658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0319000031900000101964000119640702<NA>3폐업2폐업20041105<NA><NA><NA>815-88150.0<NA>서울특별시 동작구 흑석동 109-1 번지<NA><NA>이승배수의과병원2004-11-05 17:28:01I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
1319000031900000101976000119760701<NA>3폐업2폐업20190830<NA><NA><NA>02-813-995230.84<NA>서울특별시 동작구 흑석동 8-32번지 1층서울특별시 동작구 현충로 100, 1층 (흑석동)6979중앙동물병원2019-08-26 18:00:52U2019-08-28 02:40:00.0<NA>196801.359624445056.759116동물병원<NA><NA>0<NA>
2319000031900000101984000119840411<NA>3폐업2폐업20100531<NA><NA><NA>3472-11880.0<NA>서울특별시 동작구 사당동 147-48번지 화인빌딩 1층서울특별시 동작구 사당로 308 (사당동,화인빌딩 1층)<NA>야셀동물병원2010-06-01 09:26:21I2018-08-31 23:59:59.0<NA>198296.909027442527.882921동물병원<NA><NA>0<NA>
3319000031900000101991000119911011<NA>3폐업2폐업20000925<NA><NA><NA>823-96800.0<NA>서울특별시 동작구 상도동 365-9 번지<NA><NA>상도동물병원2003-04-23 15:01:17I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
4319000031900000101992000119920527<NA>3폐업2폐업20220218<NA><NA><NA>02-532-17400.0<NA>서울특별시 동작구 사당동 265-12서울특별시 동작구 사당로 229 (사당동)<NA>모범동물병원2022-02-21 16:35:25U2022-02-23 02:40:00.0<NA>197574.13836442391.300903동물병원<NA><NA>00
5319000031900000101994000119940509<NA>3폐업2폐업20000224<NA><NA><NA>813-21870.0<NA>서울특별시 동작구 노량진동 312-43 번지<NA><NA>대신동물병원2003-04-23 15:07:03I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
6319000031900000101995000119950222<NA>3폐업2폐업20120114<NA><NA><NA>823-75000.0<NA>서울특별시 동작구 상도동 34-18 번지<NA><NA>김확수동물병원2012-01-13 16:15:21I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
7319000031900000101998000119980428<NA>3폐업2폐업20150127<NA><NA><NA>02-814-7582198.0<NA>서울특별시 동작구 대방동 393-67번지서울특별시 동작구 상도로 71 (대방동)<NA>동작동물종합병원2015-01-27 13:54:11I2018-08-31 23:59:59.0<NA>193622.00357444201.645266동물병원<NA><NA>0<NA>
8319000031900000101999000119990125<NA>1영업/정상0정상<NA><NA><NA><NA>02-586-827566.5<NA>서울특별시 동작구 사당동 1047-44번지서울특별시 동작구 남부순환로 2051 (사당동)<NA>사당동물병원2013-09-14 18:11:26I2018-08-31 23:59:59.0<NA>197865.153767441627.436612동물병원<NA><NA>0<NA>
9319000031900000101999000219990602<NA>3폐업2폐업20000515<NA><NA><NA>583-75720.0<NA>서울특별시 동작구 사당동 1001-17 번지<NA><NA>세진동물병원2003-04-23 15:30:05I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
50319000031900000102013000120130311<NA>1영업/정상0정상<NA><NA><NA><NA>02-812-751249.85<NA>서울특별시 동작구 상도동 486-7서울특별시 동작구 상도로 353, 1층 (상도동)6977상도힐링동물병원2020-10-15 10:02:37U2020-10-17 02:40:00.0<NA>195791.557524443898.917364동물병원<NA><NA>0<NA>
51319000031900000102013000220130717<NA>1영업/정상0정상<NA><NA><NA><NA>02-3280-797588.48<NA>서울특별시 동작구 대방동 401-21서울특별시 동작구 상도로 16, 1층 (대방동)7055보라매웰종합동물병원2023-01-12 20:44:05U2022-11-30 23:04:00.0<NA>193055.319381444170.27095<NA><NA><NA><NA><NA>
52319000031900000102014000120141006<NA>1영업/정상0정상<NA><NA><NA><NA>02-812-8275<NA><NA>서울특별시 동작구 상도동 22-151서울특별시 동작구 상도로31길 87, 2층 (상도동)6921지엔동물병원2022-03-16 12:21:29U2022-03-18 02:40:00.0<NA>195168.130481444775.977468동물병원<NA><NA>00
53319000031900000102016000120161205<NA>3폐업2폐업20201109<NA><NA><NA>070-4300-393857.12<NA>서울특별시 동작구 상도동 348-148 1층서울특별시 동작구 상도로 111 (상도동)6952캐나다동물병원2020-11-09 15:05:54U2020-11-11 02:40:00.0<NA>193953.121258444316.434698동물병원<NA><NA>0<NA>
54319000031900000102017000120170320<NA>1영업/정상0정상<NA><NA><NA><NA>02-521-577529.8<NA>서울특별시 동작구 사당동 248-5번지서울특별시 동작구 사당로 196, 1층 102호 (사당동, 거묵프리미엄 상가)7009나을동물병원2019-04-26 20:11:00U2019-04-28 02:40:00.0<NA>197267.513869442526.629721동물병원<NA><NA>0<NA>
5531900003190000010201800012018-01-03<NA>1영업/정상0정상<NA><NA><NA><NA>02-3280-8275108.0<NA>서울특별시 동작구 상도동 27-12 성은빌딩서울특별시 동작구 상도로 214, 성은빌딩 1층 (상도동)6964유케어종합동물병원2024-04-03 15:06:13U2023-12-04 00:05:00.0<NA>194835.762213444759.157629<NA><NA><NA><NA><NA>
56319000031900000102019000120191218<NA>3폐업2폐업20220128<NA><NA><NA>02-595-758247.12<NA>서울특별시 동작구 동작동 333 이수힐스테이트서울특별시 동작구 동작대로39길 22, 209동 116호117호 (동작동, 이수힐스테이트)6993엘'S동물병원2022-01-28 14:45:32U2022-01-30 02:40:00.0<NA>198161.29248443614.335996동물병원<NA><NA>00
5731900003190000010202000012020-02-04<NA>1영업/정상0정상<NA><NA><NA><NA>02-812-7585258.72<NA>서울특별시 동작구 상도1동 623서울특별시 동작구 양녕로 277-1 (상도1동)6919품 동물의료센터2023-06-01 11:40:58U2022-12-06 00:03:00.0<NA>195455.820503444687.362904<NA><NA><NA><NA><NA>
58319000031900000102020000220200226<NA>3폐업2폐업20220920<NA><NA><NA>02-6959-075963.0<NA>서울특별시 동작구 상도동 22-1 대화빌딩서울특별시 동작구 만양로 11, 대화빌딩 1층 (상도동)6921다정다감동물병원2022-09-20 14:17:54U2021-12-08 22:02:00.0<NA>195234.609573444855.902073<NA><NA><NA><NA><NA>
5931900003190000010202300012023-10-05<NA>1영업/정상0정상<NA><NA><NA><NA>02-6953-0475106.94<NA>서울특별시 동작구 흑석동 332 이랜드해가든서울특별시 동작구 서달로 150, 2층 222호 (흑석동, 이랜드해가든)6980스무해 동물병원2023-10-06 17:27:01I2022-10-31 00:08:00.0<NA>196587.03063444939.455415<NA><NA><NA><NA><NA>