Overview

Dataset statistics

Number of variables30
Number of observations108
Missing cells918
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory258.2 B

Variable types

Categorical11
Numeric4
DateTime4
Unsupported7
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16504/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (92.4%)Imbalance
소재지면적 is highly imbalanced (81.0%)Imbalance
인허가취소일자 has 108 (100.0%) missing valuesMissing
폐업일자 has 55 (50.9%) missing valuesMissing
휴업시작일자 has 108 (100.0%) missing valuesMissing
휴업종료일자 has 108 (100.0%) missing valuesMissing
전화번호 has 22 (20.4%) missing valuesMissing
소재지우편번호 has 108 (100.0%) missing valuesMissing
지번주소 has 6 (5.6%) missing valuesMissing
도로명주소 has 19 (17.6%) missing valuesMissing
도로명우편번호 has 36 (33.3%) missing valuesMissing
업태구분명 has 108 (100.0%) missing valuesMissing
좌표정보(X) has 12 (11.1%) missing valuesMissing
좌표정보(Y) has 12 (11.1%) missing valuesMissing
축산물가공업구분명 has 108 (100.0%) missing valuesMissing
축산일련번호 has 108 (100.0%) 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
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

Reproduction

Analysis started2024-05-11 01:35:06.659859
Analysis finished2024-05-11 01:35:08.078673
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
3130000
108 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 108
100.0%

Length

2024-05-11T01:35:08.531410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:08.932041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 108
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.13 × 1017
Minimum3.13 × 1017
Maximum3.13 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T01:35:09.469261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.13 × 1017
5-th percentile3.13 × 1017
Q13.13 × 1017
median3.13 × 1017
Q33.13 × 1017
95-th percentile3.13 × 1017
Maximum3.13 × 1017
Range580000
Interquartile range (IQR)122496

Descriptive statistics

Standard deviation92787.368
Coefficient of variation (CV)2.9644527 × 10-13
Kurtosis3.3393435
Mean3.13 × 1017
Median Absolute Deviation (MAD)64992
Skewness-1.2485533
Sum-3.089488 × 1018
Variance8.6094957 × 109
MonotonicityStrictly increasing
2024-05-11T01:35:10.397221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313000001019650001 1
 
0.9%
313000001020140003 1
 
0.9%
313000001020150002 1
 
0.9%
313000001020150001 1
 
0.9%
313000001020140012 1
 
0.9%
313000001020140011 1
 
0.9%
313000001020140010 1
 
0.9%
313000001020140009 1
 
0.9%
313000001020140008 1
 
0.9%
313000001020140007 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
313000001019650001 1
0.9%
313000001019840001 1
0.9%
313000001019880001 1
0.9%
313000001019910001 1
0.9%
313000001019910002 1
0.9%
313000001019920001 1
0.9%
313000001019930001 1
0.9%
313000001019950001 1
0.9%
313000001019950002 1
0.9%
313000001019970001 1
0.9%
ValueCountFrequency (%)
313000001020230001 1
0.9%
313000001020220001 1
0.9%
313000001020210004 1
0.9%
313000001020210003 1
0.9%
313000001020210002 1
0.9%
313000001020210001 1
0.9%
313000001020180007 1
0.9%
313000001020180006 1
0.9%
313000001020180005 1
0.9%
313000001020180004 1
0.9%
Distinct105
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum1965-06-03 00:00:00
Maximum2023-01-31 00:00:00
2024-05-11T01:35:11.063951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:11.782089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
3
62 
1
44 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
57.4%
1 44
40.7%
4 2
 
1.9%

Length

2024-05-11T01:35:12.461892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:13.194661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
57.4%
1 44
40.7%
4 2
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
폐업
62 
영업/정상
44 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.4444444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
57.4%
영업/정상 44
40.7%
취소/말소/만료/정지/중지 2
 
1.9%

Length

2024-05-11T01:35:13.937134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:14.275694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
57.4%
영업/정상 44
40.7%
취소/말소/만료/정지/중지 2
 
1.9%
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
2
62 
0
44 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 62
57.4%
0 44
40.7%
4 2
 
1.9%

Length

2024-05-11T01:35:14.812666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:15.243950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 62
57.4%
0 44
40.7%
4 2
 
1.9%
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
폐업
62 
정상
44 
말소
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
57.4%
정상 44
40.7%
말소 2
 
1.9%

Length

2024-05-11T01:35:15.715781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:16.088764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
57.4%
정상 44
40.7%
말소 2
 
1.9%

폐업일자
Date

MISSING 

Distinct50
Distinct (%)94.3%
Missing55
Missing (%)50.9%
Memory size996.0 B
Minimum2003-05-26 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T01:35:16.528268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:17.472421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
107 
20161110
 
1

Length

Max length8
Median length4
Mean length4.037037
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
99.1%
20161110 1
 
0.9%

Length

2024-05-11T01:35:17.928311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:18.275282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
99.1%
20161110 1
 
0.9%

전화번호
Text

MISSING 

Distinct79
Distinct (%)91.9%
Missing22
Missing (%)20.4%
Memory size996.0 B
2024-05-11T01:35:18.913931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.255814
Min length7

Characters and Unicode

Total characters882
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)86.0%

Sample

1st row02-336-3929
2nd row02-332-7984
3rd row02-333-9558
4th row02-707-2340
5th row02-717-7571
ValueCountFrequency (%)
302-1568 4
 
4.3%
02 3
 
3.3%
027041800 2
 
2.2%
375-1963 2
 
2.2%
309-4511 2
 
2.2%
02-376-7675 2
 
2.2%
313 1
 
1.1%
02-363-7975 1
 
1.1%
02-393-3588 1
 
1.1%
02-715-0075 1
 
1.1%
Other values (73) 73
79.3%
2024-05-11T01:35:20.081834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 133
15.1%
0 130
14.7%
2 129
14.6%
3 119
13.5%
7 102
11.6%
5 77
8.7%
1 61
6.9%
8 41
 
4.6%
6 31
 
3.5%
9 29
 
3.3%
Other values (2) 30
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 743
84.2%
Dash Punctuation 133
 
15.1%
Space Separator 6
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
17.5%
2 129
17.4%
3 119
16.0%
7 102
13.7%
5 77
10.4%
1 61
8.2%
8 41
 
5.5%
6 31
 
4.2%
9 29
 
3.9%
4 24
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 882
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 133
15.1%
0 130
14.7%
2 129
14.6%
3 119
13.5%
7 102
11.6%
5 77
8.7%
1 61
6.9%
8 41
 
4.6%
6 31
 
3.5%
9 29
 
3.3%
Other values (2) 30
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 133
15.1%
0 130
14.7%
2 129
14.6%
3 119
13.5%
7 102
11.6%
5 77
8.7%
1 61
6.9%
8 41
 
4.6%
6 31
 
3.5%
9 29
 
3.3%
Other values (2) 30
 
3.4%

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
0.0
102 
<NA>
 
4
1719.21
 
1
18.4
 
1

Length

Max length7
Median length3
Mean length3.0833333
Min length3

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 102
94.4%
<NA> 4
 
3.7%
1719.21 1
 
0.9%
18.4 1
 
0.9%

Length

2024-05-11T01:35:20.520514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:20.923450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 102
94.4%
na 4
 
3.7%
1719.21 1
 
0.9%
18.4 1
 
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

MISSING 

Distinct90
Distinct (%)88.2%
Missing6
Missing (%)5.6%
Memory size996.0 B
2024-05-11T01:35:21.572911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length23.460784
Min length14

Characters and Unicode

Total characters2393
Distinct characters130
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

Unique83 ?
Unique (%)81.4%

Sample

1st row서울특별시 마포구 동교동 167-29번지 정민빌딩
2nd row서울특별시 마포구 대흥동 201-1번지
3rd row서울특별시 마포구 노고산동 56-7
4th row서울특별시 마포구 망원동 415-32번지
5th row서울특별시 마포구 신공덕동 56-51 번지
ValueCountFrequency (%)
서울특별시 102
21.7%
마포구 102
21.7%
성산동 20
 
4.3%
서교동 12
 
2.6%
번지 10
 
2.1%
노고산동 10
 
2.1%
망원동 9
 
1.9%
공덕동 7
 
1.5%
31-2번지 5
 
1.1%
515번지 5
 
1.1%
Other values (137) 187
39.9%
2024-05-11T01:35:22.895265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
19.1%
114
 
4.8%
108
 
4.5%
105
 
4.4%
104
 
4.3%
104
 
4.3%
102
 
4.3%
102
 
4.3%
102
 
4.3%
102
 
4.3%
Other values (120) 992
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1411
59.0%
Space Separator 458
 
19.1%
Decimal Number 427
 
17.8%
Dash Punctuation 83
 
3.5%
Uppercase Letter 14
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
114
 
8.1%
108
 
7.7%
105
 
7.4%
104
 
7.4%
104
 
7.4%
102
 
7.2%
102
 
7.2%
102
 
7.2%
102
 
7.2%
56
 
4.0%
Other values (97) 412
29.2%
Uppercase Letter
ValueCountFrequency (%)
E 3
21.4%
S 2
14.3%
L 1
 
7.1%
P 1
 
7.1%
C 1
 
7.1%
X 1
 
7.1%
N 1
 
7.1%
T 1
 
7.1%
R 1
 
7.1%
B 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 90
21.1%
4 66
15.5%
2 60
14.1%
5 47
11.0%
3 40
9.4%
6 36
 
8.4%
0 26
 
6.1%
7 25
 
5.9%
8 22
 
5.2%
9 15
 
3.5%
Space Separator
ValueCountFrequency (%)
458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1411
59.0%
Common 968
40.5%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
114
 
8.1%
108
 
7.7%
105
 
7.4%
104
 
7.4%
104
 
7.4%
102
 
7.2%
102
 
7.2%
102
 
7.2%
102
 
7.2%
56
 
4.0%
Other values (97) 412
29.2%
Common
ValueCountFrequency (%)
458
47.3%
1 90
 
9.3%
- 83
 
8.6%
4 66
 
6.8%
2 60
 
6.2%
5 47
 
4.9%
3 40
 
4.1%
6 36
 
3.7%
0 26
 
2.7%
7 25
 
2.6%
Other values (2) 37
 
3.8%
Latin
ValueCountFrequency (%)
E 3
21.4%
S 2
14.3%
L 1
 
7.1%
P 1
 
7.1%
C 1
 
7.1%
X 1
 
7.1%
N 1
 
7.1%
T 1
 
7.1%
R 1
 
7.1%
B 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1411
59.0%
ASCII 982
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
46.6%
1 90
 
9.2%
- 83
 
8.5%
4 66
 
6.7%
2 60
 
6.1%
5 47
 
4.8%
3 40
 
4.1%
6 36
 
3.7%
0 26
 
2.6%
7 25
 
2.5%
Other values (13) 51
 
5.2%
Hangul
ValueCountFrequency (%)
114
 
8.1%
108
 
7.7%
105
 
7.4%
104
 
7.4%
104
 
7.4%
102
 
7.2%
102
 
7.2%
102
 
7.2%
102
 
7.2%
56
 
4.0%
Other values (97) 412
29.2%

도로명주소
Text

MISSING 

Distinct78
Distinct (%)87.6%
Missing19
Missing (%)17.6%
Memory size996.0 B
2024-05-11T01:35:23.612180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length43
Mean length30.786517
Min length22

Characters and Unicode

Total characters2740
Distinct characters153
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)80.9%

Sample

1st row서울특별시 마포구 양화로 182, 정민빌딩 30호 (동교동)
2nd row서울특별시 마포구 백범로 110 (대흥동)
3rd row서울특별시 마포구 신촌로16길 34(노고산동)
4th row서울특별시 마포구 포은로 107, 2층 (망원동)
5th row서울특별시 마포구 양화로 68 (서교동)
ValueCountFrequency (%)
서울특별시 89
 
16.2%
마포구 89
 
16.2%
월드컵로 17
 
3.1%
2층 14
 
2.5%
월드컵북로 13
 
2.4%
성산동 12
 
2.2%
신촌로 11
 
2.0%
서교동 10
 
1.8%
1층 9
 
1.6%
노고산동 8
 
1.5%
Other values (178) 278
50.5%
2024-05-11T01:35:25.308249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
 
16.9%
1 111
 
4.1%
105
 
3.8%
105
 
3.8%
102
 
3.7%
98
 
3.6%
) 90
 
3.3%
90
 
3.3%
90
 
3.3%
( 90
 
3.3%
Other values (143) 1397
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1633
59.6%
Space Separator 462
 
16.9%
Decimal Number 370
 
13.5%
Close Punctuation 90
 
3.3%
Open Punctuation 90
 
3.3%
Other Punctuation 74
 
2.7%
Uppercase Letter 16
 
0.6%
Dash Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
6.4%
105
 
6.4%
102
 
6.2%
98
 
6.0%
90
 
5.5%
90
 
5.5%
89
 
5.5%
89
 
5.5%
89
 
5.5%
87
 
5.3%
Other values (116) 689
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
18.8%
E 3
18.8%
S 2
12.5%
P 1
 
6.2%
N 1
 
6.2%
L 1
 
6.2%
X 1
 
6.2%
C 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 111
30.0%
2 63
17.0%
4 43
 
11.6%
0 34
 
9.2%
5 25
 
6.8%
3 23
 
6.2%
8 21
 
5.7%
7 20
 
5.4%
6 19
 
5.1%
9 11
 
3.0%
Space Separator
ValueCountFrequency (%)
462
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1633
59.6%
Common 1091
39.8%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
6.4%
105
 
6.4%
102
 
6.2%
98
 
6.0%
90
 
5.5%
90
 
5.5%
89
 
5.5%
89
 
5.5%
89
 
5.5%
87
 
5.3%
Other values (116) 689
42.2%
Common
ValueCountFrequency (%)
462
42.3%
1 111
 
10.2%
) 90
 
8.2%
( 90
 
8.2%
, 74
 
6.8%
2 63
 
5.8%
4 43
 
3.9%
0 34
 
3.1%
5 25
 
2.3%
3 23
 
2.1%
Other values (6) 76
 
7.0%
Latin
ValueCountFrequency (%)
B 3
18.8%
E 3
18.8%
S 2
12.5%
P 1
 
6.2%
N 1
 
6.2%
L 1
 
6.2%
X 1
 
6.2%
C 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1633
59.6%
ASCII 1107
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
41.7%
1 111
 
10.0%
) 90
 
8.1%
( 90
 
8.1%
, 74
 
6.7%
2 63
 
5.7%
4 43
 
3.9%
0 34
 
3.1%
5 25
 
2.3%
3 23
 
2.1%
Other values (17) 92
 
8.3%
Hangul
ValueCountFrequency (%)
105
 
6.4%
105
 
6.4%
102
 
6.2%
98
 
6.0%
90
 
5.5%
90
 
5.5%
89
 
5.5%
89
 
5.5%
89
 
5.5%
87
 
5.3%
Other values (116) 689
42.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)66.7%
Missing36
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4056.3333
Minimum3907
Maximum4214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T01:35:25.986207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3907
5-th percentile3932.75
Q13996
median4053.5
Q34117.25
95-th percentile4179.3
Maximum4214
Range307
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation81.920779
Coefficient of variation (CV)0.020195771
Kurtosis-0.96495913
Mean4056.3333
Median Absolute Deviation (MAD)61
Skewness-0.042970538
Sum292056
Variance6711.0141
MonotonicityNot monotonic
2024-05-11T01:35:26.597843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4101 7
 
6.5%
3948 4
 
3.7%
4149 3
 
2.8%
4029 3
 
2.8%
3941 3
 
2.8%
3963 2
 
1.9%
3996 2
 
1.9%
4205 2
 
1.9%
4129 2
 
1.9%
4069 2
 
1.9%
Other values (38) 42
38.9%
(Missing) 36
33.3%
ValueCountFrequency (%)
3907 1
 
0.9%
3909 1
 
0.9%
3912 1
 
0.9%
3930 1
 
0.9%
3935 1
 
0.9%
3941 3
2.8%
3948 4
3.7%
3963 2
1.9%
3971 1
 
0.9%
3978 1
 
0.9%
ValueCountFrequency (%)
4214 1
 
0.9%
4205 2
1.9%
4187 1
 
0.9%
4173 1
 
0.9%
4169 1
 
0.9%
4162 1
 
0.9%
4159 1
 
0.9%
4151 1
 
0.9%
4149 3
2.8%
4147 1
 
0.9%
Distinct94
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-05-11T01:35:27.289942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.2037037
Min length5

Characters and Unicode

Total characters886
Distinct characters180
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

Unique85 ?
Unique (%)78.7%

Sample

1st row동교수의과병원
2nd row마포동물병원
3rd row서진동물병원
4th row서교동물병원
5th row공덕동물병원
ValueCountFrequency (%)
동물병원 41
 
24.3%
신촌동물병원 5
 
3.0%
24시 4
 
2.4%
사랑동물병원 3
 
1.8%
다솔동물병원 3
 
1.8%
용강동물병원 2
 
1.2%
이리온 2
 
1.2%
신촌 2
 
1.2%
키다리 2
 
1.2%
캣츠앤독스 2
 
1.2%
Other values (97) 103
60.9%
2024-05-11T01:35:28.623028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
12.4%
108
 
12.2%
104
 
11.7%
102
 
11.5%
61
 
6.9%
12
 
1.4%
12
 
1.4%
11
 
1.2%
9
 
1.0%
8
 
0.9%
Other values (170) 349
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
89.3%
Space Separator 61
 
6.9%
Lowercase Letter 11
 
1.2%
Decimal Number 8
 
0.9%
Uppercase Letter 6
 
0.7%
Other Punctuation 5
 
0.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
110
 
13.9%
108
 
13.7%
104
 
13.1%
102
 
12.9%
12
 
1.5%
12
 
1.5%
11
 
1.4%
9
 
1.1%
8
 
1.0%
8
 
1.0%
Other values (148) 307
38.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
t 1
9.1%
h 1
9.1%
e 1
9.1%
r 1
9.1%
w 1
9.1%
l 1
9.1%
m 1
9.1%
i 1
9.1%
n 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
M 1
16.7%
D 1
16.7%
T 1
16.7%
K 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
4 4
50.0%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
89.3%
Common 78
 
8.8%
Latin 17
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
110
 
13.9%
108
 
13.7%
104
 
13.1%
102
 
12.9%
12
 
1.5%
12
 
1.5%
11
 
1.4%
9
 
1.1%
8
 
1.0%
8
 
1.0%
Other values (148) 307
38.8%
Latin
ValueCountFrequency (%)
a 2
 
11.8%
C 2
 
11.8%
t 1
 
5.9%
h 1
 
5.9%
e 1
 
5.9%
M 1
 
5.9%
r 1
 
5.9%
D 1
 
5.9%
T 1
 
5.9%
K 1
 
5.9%
Other values (5) 5
29.4%
Common
ValueCountFrequency (%)
61
78.2%
2 4
 
5.1%
4 4
 
5.1%
. 4
 
5.1%
) 2
 
2.6%
( 2
 
2.6%
& 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
89.3%
ASCII 95
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
110
 
13.9%
108
 
13.7%
104
 
13.1%
102
 
12.9%
12
 
1.5%
12
 
1.5%
11
 
1.4%
9
 
1.1%
8
 
1.0%
8
 
1.0%
Other values (148) 307
38.8%
ASCII
ValueCountFrequency (%)
61
64.2%
2 4
 
4.2%
4 4
 
4.2%
. 4
 
4.2%
) 2
 
2.1%
( 2
 
2.1%
a 2
 
2.1%
C 2
 
2.1%
t 1
 
1.1%
h 1
 
1.1%
Other values (12) 12
 
12.6%

최종수정일자
Date

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2003-06-12 11:02:39
Maximum2024-05-08 10:50:41
2024-05-11T01:35:29.230130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:29.635173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
U
57 
I
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 57
52.8%
I 51
47.2%

Length

2024-05-11T01:35:30.203315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:30.507004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 57
52.8%
i 51
47.2%
Distinct40
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T01:35:30.992069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:31.613020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)75.0%
Missing12
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean193327
Minimum190097.79
Maximum196221.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T01:35:32.163557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190097.79
5-th percentile191010.38
Q1191960.99
median193350.21
Q3194654.29
95-th percentile195836.57
Maximum196221.55
Range6123.7539
Interquartile range (IQR)2693.2992

Descriptive statistics

Standard deviation1679.9236
Coefficient of variation (CV)0.0086895449
Kurtosis-1.2245299
Mean193327
Median Absolute Deviation (MAD)1389.2164
Skewness0.07224753
Sum18559392
Variance2822143.5
MonotonicityNot monotonic
2024-05-11T01:35:32.692179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194439.905305796 6
 
5.6%
192051.837086207 5
 
4.6%
191010.381048042 5
 
4.6%
191913.193127084 2
 
1.9%
192175.308432983 2
 
1.9%
191672.343775132 2
 
1.9%
195080.452995269 2
 
1.9%
191960.99393129 2
 
1.9%
193780.313436667 2
 
1.9%
195818.0 2
 
1.9%
Other values (62) 66
61.1%
(Missing) 12
 
11.1%
ValueCountFrequency (%)
190097.791838986 1
 
0.9%
190217.044298752 1
 
0.9%
190490.42641517 1
 
0.9%
190625.002537437 1
 
0.9%
191010.381048042 5
4.6%
191263.451931121 1
 
0.9%
191427.097563261 1
 
0.9%
191489.555608103 1
 
0.9%
191496.310307452 1
 
0.9%
191539.563874532 1
 
0.9%
ValueCountFrequency (%)
196221.545738817 1
0.9%
196089.306778496 2
1.9%
195900.709427813 1
0.9%
195892.268543621 1
0.9%
195818.0 2
1.9%
195806.533554405 1
0.9%
195785.113314101 1
0.9%
195748.06444032 1
0.9%
195703.425296812 1
0.9%
195703.349698164 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)75.0%
Missing12
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean450383.49
Minimum448398.45
Maximum452827.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T01:35:33.627033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448398.45
5-th percentile449103.43
Q1449609.02
median450321.51
Q3450820.72
95-th percentile452073.05
Maximum452827.15
Range4428.7045
Interquartile range (IQR)1211.7084

Descriptive statistics

Standard deviation1002.4622
Coefficient of variation (CV)0.0022257969
Kurtosis-0.32060229
Mean450383.49
Median Absolute Deviation (MAD)631.10211
Skewness0.57822104
Sum43236815
Variance1004930.4
MonotonicityNot monotonic
2024-05-11T01:35:34.230484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450321.511793847 6
 
5.6%
451527.748667617 5
 
4.6%
451972.154018501 5
 
4.6%
450573.671212346 2
 
1.9%
450127.186671719 2
 
1.9%
450074.083675879 2
 
1.9%
449320.304598791 2
 
1.9%
451640.695752773 2
 
1.9%
449496.466525807 2
 
1.9%
449944.0 2
 
1.9%
Other values (62) 66
61.1%
(Missing) 12
 
11.1%
ValueCountFrequency (%)
448398.446051829 1
0.9%
448806.629514746 1
0.9%
448863.161712665 1
0.9%
448976.983731133 2
1.9%
449145.578789461 1
0.9%
449161.449977519 2
1.9%
449177.790847758 1
0.9%
449233.885686647 1
0.9%
449294.607730714 1
0.9%
449320.304598791 2
1.9%
ValueCountFrequency (%)
452827.150591544 1
 
0.9%
452676.547382437 1
 
0.9%
452644.181543234 1
 
0.9%
452599.632380465 1
 
0.9%
452207.500653521 1
 
0.9%
452028.237293526 1
 
0.9%
451972.154018501 5
4.6%
451951.966810481 1
 
0.9%
451916.77064097 1
 
0.9%
451640.695752773 2
 
1.9%
Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
동물병원
85 
<NA>
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 85
78.7%
<NA> 23
 
21.3%

Length

2024-05-11T01:35:34.728136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:35.116290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 85
78.7%
na 23
 
21.3%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
000
83 
<NA>
23 
L00
 
2

Length

Max length4
Median length3
Mean length3.212963
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 83
76.9%
<NA> 23
 
21.3%
L00 2
 
1.9%

Length

2024-05-11T01:35:35.564857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:35.986762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 83
76.9%
na 23
 
21.3%
l00 2
 
1.9%

총인원
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
96 
0
12 

Length

Max length4
Median length4
Mean length3.6666667
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> 96
88.9%
0 12
 
11.1%

Length

2024-05-11T01:35:36.422328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:36.858734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
88.9%
0 12
 
11.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0313000031300000101965000119650603<NA>3폐업2폐업20080319<NA><NA><NA><NA>0.0<NA>서울특별시 마포구 동교동 167-29번지 정민빌딩서울특별시 마포구 양화로 182, 정민빌딩 30호 (동교동)4051동교수의과병원2019-06-19 11:05:46U2019-06-21 02:40:00.0<NA>193354.785619450613.813307동물병원<NA><NA>000<NA>
1313000031300000101984000119840228<NA>3폐업2폐업20180928<NA><NA><NA><NA>0.0<NA>서울특별시 마포구 대흥동 201-1번지서울특별시 마포구 백범로 110 (대흥동)4149마포동물병원2019-06-19 11:06:15U2019-06-21 02:40:00.0<NA>194929.732378449419.79564동물병원<NA><NA>000<NA>
2313000031300000101988000119880330<NA>1영업/정상0정상<NA><NA><NA><NA>02-336-39290.0<NA>서울특별시 마포구 노고산동 56-7서울특별시 마포구 신촌로16길 34(노고산동)4057서진동물병원2022-07-11 15:02:19U2021-12-06 23:03:00.0<NA>194117.365875450220.18771<NA><NA><NA><NA><NA>
3313000031300000101991000119910305<NA>1영업/정상0정상<NA><NA><NA><NA>02-332-79840.0<NA>서울특별시 마포구 망원동 415-32번지서울특별시 마포구 포은로 107, 2층 (망원동)4009서교동물병원2019-05-08 13:24:27U2019-05-10 02:40:00.0<NA>191496.310307450483.171879동물병원<NA><NA>000<NA>
4313000031300000101991000219910328<NA>3폐업2폐업20040513<NA><NA><NA><NA>0.0<NA>서울특별시 마포구 신공덕동 56-51 번지<NA><NA>공덕동물병원2004-05-13 13:17:31I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>000<NA>
5313000031300000101992000119920331<NA>3폐업2폐업20050125<NA><NA><NA><NA>0.0<NA>서울특별시 마포구 성산동 228-4 번지<NA><NA>조상래동물병원2005-01-25 17:19:33I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>000<NA>
6313000031300000101993000119930503<NA>3폐업2폐업20171101<NA><NA><NA><NA>0.0<NA>서울특별시 마포구 대흥동 12-66번지<NA><NA>이화동물병원2017-12-06 15:27:11I2018-08-31 23:59:59.0<NA>195130.92922450371.967775동물병원<NA><NA>000<NA>
7313000031300000101995000119950706<NA>1영업/정상0정상<NA><NA><NA><NA>02-333-95580.0<NA>서울특별시 마포구 서교동 395-44서울특별시 마포구 양화로 68 (서교동)4044뉴욕종합동물병원2021-07-02 15:17:59U2021-07-04 02:40:00.0<NA>192513.424097449835.228831동물병원<NA><NA>000<NA>
8313000031300000101995000219960108<NA>1영업/정상0정상<NA><NA><NA><NA>02-707-23400.0<NA>서울특별시 마포구 대흥동 337-41서울특별시 마포구 대흥로 48 (대흥동)4159용강동물병원2021-07-02 15:19:00U2021-07-04 02:40:00.0<NA>194584.871117449177.790848동물병원<NA><NA>000<NA>
9313000031300000101997000119971213<NA>1영업/정상0정상<NA><NA><NA><NA>02-717-75710.0<NA>서울특별시 마포구 노고산동 1-67서울특별시 마포구 신촌로 154 (노고산동)4104디엔씨동물병원2021-07-02 15:19:36U2021-07-04 02:40:00.0<NA>194862.55929450454.696681동물병원<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
98313000031300000102018000420180831<NA>3폐업2폐업20210714<NA><NA><NA>02-332-75820.0<NA>서울특별시 마포구 창전동 308-1서울특별시 마포구 독막로 153, 102호 (창전동)4069한아름 동물병원2021-07-14 15:35:56U2021-07-16 02:40:00.0<NA>193780.313437449496.466526동물병원<NA><NA>0000
99313000031300000102018000520181002<NA>1영업/정상0정상<NA><NA><NA><NA>02-715-75750.0<NA>서울특별시 마포구 구수동 56-8서울특별시 마포구 창전로 50-1 (구수동)4087산책 동물병원2022-11-24 13:13:54U2021-10-31 22:06:00.0<NA>193979.046092449401.774277<NA><NA><NA><NA><NA>
100313000031300000102018000620181031<NA>1영업/정상0정상<NA><NA><NA><NA>02-2088-13750.0<NA>서울특별시 마포구 염리동 156-1서울특별시 마포구 백범로 130 (염리동)4149아이웰 동물의료센터2022-09-28 16:44:50U2021-12-08 21:00:00.0<NA>195080.452995449320.304599<NA><NA><NA><NA><NA>
101313000031300000102018000720181112<NA>1영업/정상0정상<NA><NA><NA><NA>02-6383-03030.0<NA>서울특별시 마포구 공덕동 404 풍림브이아이피텔서울특별시 마포구 마포대로 127, 풍림브이아이피텔 (공덕동)4144콩닥 동물병원2021-07-20 14:17:11U2021-07-22 02:40:00.0<NA>195703.425297449330.800718동물병원<NA><NA>0000
102313000031300000102021000120210510<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>0237272880.0<NA>서울특별시 마포구 중동 64-23서울특별시 마포구 월드컵북로38길 14, 4층 (중동)3941성산연세약국2021-09-01 15:34:56U2021-09-03 02:40:00.0<NA>191427.097563452028.237294동물병원<NA><NA>000<NA>
103313000031300000102021000220210511<NA>1영업/정상0정상<NA><NA><NA><NA>02-3144-32530.0<NA>서울특별시 마포구 상수동 402 래미안밤섬리베뉴 1서울특별시 마포구 독막로20나길 22, B106호 (상수동, 래미안밤섬리베뉴 1)4076삼색이동물병원2021-05-12 09:17:34I2021-05-14 00:22:56.0<NA>193345.635113449376.250183동물병원<NA><NA>000<NA>
104313000031300000102021000320210524<NA>1영업/정상0정상<NA><NA><NA><NA>02-6954-7522<NA><NA>서울특별시 마포구 염리동 14-149서울특별시 마포구 대흥로24길 24, 마포프레스티지자이상가 B동 107호 (염리동)4124서울준동물병원2021-05-24 11:23:35I2021-05-26 00:22:56.0<NA>195243.086998450223.927419동물병원<NA><NA>000<NA>
105313000031300000102021000420210526<NA>1영업/정상0정상<NA><NA><NA><NA>02-376-7675<NA><NA>서울특별시 마포구 성산동 151-6서울특별시 마포구 월드컵북로 218, 2층 (성산동)3941키다리 동물병원2021-05-26 17:55:17I2021-05-28 00:22:55.0<NA>191539.563875451916.770641동물병원<NA><NA>000<NA>
106313000031300000102022000120220502<NA>1영업/정상0정상<NA><NA><NA><NA>0507-1350-72290.0<NA>서울특별시 마포구 신수동 462 신촌숲아이파크서울특별시 마포구 광성로 17, 상가동 135, 136호 (신수동, 신촌숲아이파크)4094신촌 숲 동물병원2022-08-22 20:52:59U2021-12-07 22:04:00.0<NA>194181.667885449752.106509<NA><NA><NA><NA><NA>
10731300003130000010202300012023-01-31<NA>3폐업2폐업2023-06-30<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 444-6서울특별시 마포구 월드컵로 44(서교동)4029우쭈쭈동물건강검진센터 합정점2023-06-30 16:52:00U2022-12-07 00:02:00.0<NA>192189.418873450104.501102<NA><NA><NA><NA><NA>