Overview

Dataset statistics

Number of variables30
Number of observations61
Missing cells421
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory259.2 B

Variable types

Categorical11
Numeric5
DateTime4
Unsupported6
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16500/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (87.9%)Imbalance
휴업종료일자 is highly imbalanced (87.9%)Imbalance
총인원 is highly imbalanced (87.9%)Imbalance
인허가취소일자 has 61 (100.0%) missing valuesMissing
폐업일자 has 27 (44.3%) missing valuesMissing
재개업일자 has 61 (100.0%) missing valuesMissing
전화번호 has 1 (1.6%) missing valuesMissing
소재지면적 has 8 (13.1%) missing valuesMissing
소재지우편번호 has 61 (100.0%) missing valuesMissing
도로명주소 has 1 (1.6%) missing valuesMissing
도로명우편번호 has 18 (29.5%) missing valuesMissing
업태구분명 has 61 (100.0%) missing valuesMissing
축산물가공업구분명 has 61 (100.0%) missing valuesMissing
축산일련번호 has 61 (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
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 11 (18.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:07:40.844151
Analysis finished2024-05-11 06:07:41.405856
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3090000
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 61
100.0%

Length

2024-05-11T15:07:41.504259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:41.669974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 61
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.09 × 1017
Minimum3.09 × 1017
Maximum3.09 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T15:07:41.864047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.09 × 1017
5-th percentile3.09 × 1017
Q13.09 × 1017
median3.09 × 1017
Q33.09 × 1017
95-th percentile3.09 × 1017
Maximum3.09 × 1017
Range390000
Interquartile range (IQR)150016

Descriptive statistics

Standard deviation91146.187
Coefficient of variation (CV)2.9497148 × 10-13
Kurtosis-0.57807699
Mean3.09 × 1017
Median Absolute Deviation (MAD)70016
Skewness-0.2546931
Sum4.0225599 × 1017
Variance8.3076274 × 109
MonotonicityStrictly increasing
2024-05-11T15:07:42.139198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309000001019850001 1
 
1.6%
309000001020180003 1
 
1.6%
309000001020090002 1
 
1.6%
309000001020120001 1
 
1.6%
309000001020130001 1
 
1.6%
309000001020130002 1
 
1.6%
309000001020140001 1
 
1.6%
309000001020140002 1
 
1.6%
309000001020150001 1
 
1.6%
309000001020170001 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
309000001019850001 1
1.6%
309000001019900001 1
1.6%
309000001019940001 1
1.6%
309000001019950001 1
1.6%
309000001019950002 1
1.6%
309000001019990001 1
1.6%
309000001019990002 1
1.6%
309000001020000001 1
1.6%
309000001020010001 1
1.6%
309000001020010002 1
1.6%
ValueCountFrequency (%)
309000001020240001 1
1.6%
309000001020230002 1
1.6%
309000001020230001 1
1.6%
309000001020220002 1
1.6%
309000001020220001 1
1.6%
309000001020210001 1
1.6%
309000001020200001 1
1.6%
309000001020190004 1
1.6%
309000001020190003 1
1.6%
309000001020190002 1
1.6%

인허가일자
Date

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1985-09-04 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T15:07:42.396136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:42.631043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
34 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 34
55.7%
1 27
44.3%

Length

2024-05-11T15:07:42.819283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:42.959451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 34
55.7%
1 27
44.3%

영업상태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
34 
영업/정상
27 

Length

Max length5
Median length2
Mean length3.3278689
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 34
55.7%
영업/정상 27
44.3%

Length

2024-05-11T15:07:43.110218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:43.556595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 34
55.7%
영업/정상 27
44.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
2
34 
0
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 34
55.7%
0 27
44.3%

Length

2024-05-11T15:07:43.715725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:43.881880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 34
55.7%
0 27
44.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
34 
정상
27 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 34
55.7%
정상 27
44.3%

Length

2024-05-11T15:07:44.081494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:44.252584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 34
55.7%
정상 27
44.3%

폐업일자
Date

MISSING 

Distinct34
Distinct (%)100.0%
Missing27
Missing (%)44.3%
Memory size620.0 B
Minimum2003-10-02 00:00:00
Maximum2023-06-12 00:00:00
2024-05-11T15:07:44.459918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:44.744360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
60 
20121008
 
1

Length

Max length8
Median length4
Mean length4.0655738
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
98.4%
20121008 1
 
1.6%

Length

2024-05-11T15:07:44.994452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:45.172947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
98.4%
20121008 1
 
1.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
60 
20130228
 
1

Length

Max length8
Median length4
Mean length4.0655738
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
98.4%
20130228 1
 
1.6%

Length

2024-05-11T15:07:45.356779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:45.532713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
98.4%
20130228 1
 
1.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

전화번호
Text

MISSING 

Distinct43
Distinct (%)71.7%
Missing1
Missing (%)1.6%
Memory size620.0 B
2024-05-11T15:07:45.846368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.75
Min length7

Characters and Unicode

Total characters525
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

Unique33 ?
Unique (%)55.0%

Sample

1st row905-0577
2nd row900-9929
3rd row992-9414
4th row997-0075
5th row3491-7060
ValueCountFrequency (%)
955-6530 4
 
6.7%
3493-7514 4
 
6.7%
907-7512 3
 
5.0%
955-8400 3
 
5.0%
955-8477 3
 
5.0%
3494-0075 2
 
3.3%
999-7582 2
 
3.3%
997-0075 2
 
3.3%
993-0075 2
 
3.3%
996-8275 2
 
3.3%
Other values (33) 33
55.0%
2024-05-11T15:07:46.426745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 83
15.8%
5 75
14.3%
0 72
13.7%
- 66
12.6%
7 52
9.9%
4 42
8.0%
3 37
7.0%
2 27
 
5.1%
1 25
 
4.8%
8 25
 
4.8%
Other values (2) 21
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 458
87.2%
Dash Punctuation 66
 
12.6%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 83
18.1%
5 75
16.4%
0 72
15.7%
7 52
11.4%
4 42
9.2%
3 37
8.1%
2 27
 
5.9%
1 25
 
5.5%
8 25
 
5.5%
6 20
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 525
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 83
15.8%
5 75
14.3%
0 72
13.7%
- 66
12.6%
7 52
9.9%
4 42
8.0%
3 37
7.0%
2 27
 
5.1%
1 25
 
4.8%
8 25
 
4.8%
Other values (2) 21
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 83
15.8%
5 75
14.3%
0 72
13.7%
- 66
12.6%
7 52
9.9%
4 42
8.0%
3 37
7.0%
2 27
 
5.1%
1 25
 
4.8%
8 25
 
4.8%
Other values (2) 21
 
4.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)69.8%
Missing8
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean750.80887
Minimum0
Maximum36862
Zeros11
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T15:07:46.670931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.44
median39.55
Q360.27
95-th percentile218.294
Maximum36862
Range36862
Interquartile range (IQR)47.83

Descriptive statistics

Standard deviation5056.1742
Coefficient of variation (CV)6.7343028
Kurtosis52.976418
Mean750.80887
Median Absolute Deviation (MAD)26.69
Skewness7.2777339
Sum39792.87
Variance25564898
MonotonicityNot monotonic
2024-05-11T15:07:46.931608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 11
18.0%
12.44 4
 
6.6%
46.5 2
 
3.3%
60.27 2
 
3.3%
46.02 2
 
3.3%
235.34 1
 
1.6%
27.54 1
 
1.6%
392.72 1
 
1.6%
22.77 1
 
1.6%
46.76 1
 
1.6%
Other values (27) 27
44.3%
(Missing) 8
 
13.1%
ValueCountFrequency (%)
0.0 11
18.0%
12.44 4
 
6.6%
20.65 1
 
1.6%
22.57 1
 
1.6%
22.77 1
 
1.6%
24.6 1
 
1.6%
27.54 1
 
1.6%
31.6 1
 
1.6%
32.2 1
 
1.6%
33.7 1
 
1.6%
ValueCountFrequency (%)
36862.0 1
1.6%
392.72 1
1.6%
235.34 1
1.6%
206.93 1
1.6%
205.85 1
1.6%
204.0 1
1.6%
152.76 1
1.6%
117.8 1
1.6%
84.9 1
1.6%
80.0 1
1.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

지번주소
Text

Distinct52
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-11T15:07:47.365833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length25.114754
Min length17

Characters and Unicode

Total characters1532
Distinct characters79
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

Unique46 ?
Unique (%)75.4%

Sample

1st row서울특별시 도봉구 쌍문동 88-115번지
2nd row서울특별시 도봉구 쌍문동 356번지 12통7반 삼익빌라 101동 403호
3rd row서울특별시 도봉구 창동 635-42번지 20통1반 건영캐스빌아파트 101동 1201호
4th row서울특별시 도봉구 쌍문동 45-8번지
5th row서울특별시 도봉구 방학동 664-11번지 15통5반 101호
ValueCountFrequency (%)
서울특별시 61
20.7%
도봉구 61
20.7%
방학동 20
 
6.8%
창동 18
 
6.1%
1층 13
 
4.4%
쌍문동 12
 
4.1%
도봉동 12
 
4.1%
717-6번지 5
 
1.7%
724-7번지 3
 
1.0%
636-12번지 3
 
1.0%
Other values (76) 86
29.3%
2024-05-11T15:07:47.974869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
17.9%
1 88
 
5.7%
도 74
 
4.8%
봉 74
 
4.8%
동 66
 
4.3%
서 61
 
4.0%
특 61
 
4.0%
별 61
 
4.0%
시 61
 
4.0%
구 61
 
4.0%
Other values (69) 651
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 857
55.9%
Decimal Number 342
 
22.3%
Space Separator 274
 
17.9%
Dash Punctuation 56
 
3.7%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 74
 
8.6%
봉 74
 
8.6%
동 66
 
7.7%
서 61
 
7.1%
특 61
 
7.1%
별 61
 
7.1%
시 61
 
7.1%
구 61
 
7.1%
울 61
 
7.1%
지 43
 
5.0%
Other values (54) 234
27.3%
Decimal Number
ValueCountFrequency (%)
1 88
25.7%
6 52
15.2%
7 44
12.9%
2 39
11.4%
5 30
 
8.8%
0 27
 
7.9%
3 27
 
7.9%
4 19
 
5.6%
8 13
 
3.8%
9 3
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
S 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 857
55.9%
Common 672
43.9%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 74
 
8.6%
봉 74
 
8.6%
동 66
 
7.7%
서 61
 
7.1%
특 61
 
7.1%
별 61
 
7.1%
시 61
 
7.1%
구 61
 
7.1%
울 61
 
7.1%
지 43
 
5.0%
Other values (54) 234
27.3%
Common
ValueCountFrequency (%)
274
40.8%
1 88
 
13.1%
- 56
 
8.3%
6 52
 
7.7%
7 44
 
6.5%
2 39
 
5.8%
5 30
 
4.5%
0 27
 
4.0%
3 27
 
4.0%
4 19
 
2.8%
Other values (2) 16
 
2.4%
Latin
ValueCountFrequency (%)
E 1
33.3%
S 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 857
55.9%
ASCII 675
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
40.6%
1 88
 
13.0%
- 56
 
8.3%
6 52
 
7.7%
7 44
 
6.5%
2 39
 
5.8%
5 30
 
4.4%
0 27
 
4.0%
3 27
 
4.0%
4 19
 
2.8%
Other values (5) 19
 
2.8%
Hangul
ValueCountFrequency (%)
도 74
 
8.6%
봉 74
 
8.6%
동 66
 
7.7%
서 61
 
7.1%
특 61
 
7.1%
별 61
 
7.1%
시 61
 
7.1%
구 61
 
7.1%
울 61
 
7.1%
지 43
 
5.0%
Other values (54) 234
27.3%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)83.3%
Missing1
Missing (%)1.6%
Memory size620.0 B
2024-05-11T15:07:48.420366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length27.833333
Min length22

Characters and Unicode

Total characters1670
Distinct characters91
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

Unique43 ?
Unique (%)71.7%

Sample

1st row서울특별시 도봉구 도봉로 499 (쌍문동)
2nd row서울특별시 도봉구 도봉로 469 (쌍문동)
3rd row서울특별시 도봉구 덕릉로 230 (창동)
4th row서울특별시 도봉구 해등로 184 (쌍문동)
5th row서울특별시 도봉구 도당로 63 (방학동)
ValueCountFrequency (%)
서울특별시 60
17.3%
도봉구 60
17.3%
도봉로 23
 
6.6%
창동 14
 
4.0%
방학동 13
 
3.7%
마들로 12
 
3.5%
쌍문동 11
 
3.2%
1층 11
 
3.2%
도봉동 11
 
3.2%
방학로 6
 
1.7%
Other values (86) 126
36.3%
2024-05-11T15:07:49.004370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
17.2%
봉 101
 
6.0%
도 100
 
6.0%
시 63
 
3.8%
동 63
 
3.8%
서 60
 
3.6%
( 60
 
3.6%
특 60
 
3.6%
별 60
 
3.6%
구 60
 
3.6%
Other values (81) 756
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 955
57.2%
Space Separator 287
 
17.2%
Decimal Number 255
 
15.3%
Open Punctuation 60
 
3.6%
Close Punctuation 60
 
3.6%
Other Punctuation 46
 
2.8%
Uppercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 101
 
10.6%
도 100
 
10.5%
시 63
 
6.6%
동 63
 
6.6%
서 60
 
6.3%
특 60
 
6.3%
별 60
 
6.3%
구 60
 
6.3%
울 60
 
6.3%
로 60
 
6.3%
Other values (61) 268
28.1%
Decimal Number
ValueCountFrequency (%)
1 58
22.7%
6 38
14.9%
5 27
10.6%
2 24
9.4%
4 23
 
9.0%
7 20
 
7.8%
3 18
 
7.1%
0 17
 
6.7%
8 16
 
6.3%
9 14
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
A 1
25.0%
S 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 955
57.2%
Common 711
42.6%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 101
 
10.6%
도 100
 
10.5%
시 63
 
6.6%
동 63
 
6.6%
서 60
 
6.3%
특 60
 
6.3%
별 60
 
6.3%
구 60
 
6.3%
울 60
 
6.3%
로 60
 
6.3%
Other values (61) 268
28.1%
Common
ValueCountFrequency (%)
287
40.4%
( 60
 
8.4%
) 60
 
8.4%
1 58
 
8.2%
, 46
 
6.5%
6 38
 
5.3%
5 27
 
3.8%
2 24
 
3.4%
4 23
 
3.2%
7 20
 
2.8%
Other values (6) 68
 
9.6%
Latin
ValueCountFrequency (%)
E 1
25.0%
A 1
25.0%
S 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 955
57.2%
ASCII 715
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
40.1%
( 60
 
8.4%
) 60
 
8.4%
1 58
 
8.1%
, 46
 
6.4%
6 38
 
5.3%
5 27
 
3.8%
2 24
 
3.4%
4 23
 
3.2%
7 20
 
2.8%
Other values (10) 72
 
10.1%
Hangul
ValueCountFrequency (%)
봉 101
 
10.6%
도 100
 
10.5%
시 63
 
6.6%
동 63
 
6.6%
서 60
 
6.3%
특 60
 
6.3%
별 60
 
6.3%
구 60
 
6.3%
울 60
 
6.3%
로 60
 
6.3%
Other values (61) 268
28.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)69.8%
Missing18
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean1376.814
Minimum1304
Maximum1474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T15:07:49.293610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1304
5-th percentile1304.4
Q11331
median1375
Q31410.5
95-th percentile1458.4
Maximum1474
Range170
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation50.411287
Coefficient of variation (CV)0.036614451
Kurtosis-0.9906015
Mean1376.814
Median Absolute Deviation (MAD)43
Skewness0.3134147
Sum59203
Variance2541.2979
MonotonicityNot monotonic
2024-05-11T15:07:49.552143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1330 4
 
6.6%
1356 3
 
4.9%
1304 3
 
4.9%
1426 2
 
3.3%
1375 2
 
3.3%
1346 2
 
3.3%
1453 2
 
3.3%
1350 2
 
3.3%
1394 2
 
3.3%
1320 1
 
1.6%
Other values (20) 20
32.8%
(Missing) 18
29.5%
ValueCountFrequency (%)
1304 3
4.9%
1308 1
 
1.6%
1310 1
 
1.6%
1320 1
 
1.6%
1328 1
 
1.6%
1330 4
6.6%
1332 1
 
1.6%
1335 1
 
1.6%
1346 2
3.3%
1350 2
3.3%
ValueCountFrequency (%)
1474 1
1.6%
1473 1
1.6%
1459 1
1.6%
1453 2
3.3%
1447 1
1.6%
1442 1
1.6%
1429 1
1.6%
1426 2
3.3%
1413 1
1.6%
1408 1
1.6%

사업장명
Text

Distinct50
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-11T15:07:49.989914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.442623
Min length6

Characters and Unicode

Total characters454
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)68.9%

Sample

1st row영풍동물병원
2nd row퓨리나동물병원
3rd row신창동물병원
4th row태일동물종합병원
5th row화신종합동물병원
ValueCountFrequency (%)
수호천사동물병원 4
 
5.8%
동물병원 4
 
5.8%
도담동물병원 3
 
4.3%
둘리동물병원 2
 
2.9%
행복한동물병원 2
 
2.9%
사랑동물병원 2
 
2.9%
이n김동물병원 2
 
2.9%
사랑해요동물병원 2
 
2.9%
현대종합동물병원 2
 
2.9%
트윈스동물병원 1
 
1.4%
Other values (45) 45
65.2%
2024-05-11T15:07:50.675564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 63
 
13.9%
물 62
 
13.7%
병 56
 
12.3%
원 56
 
12.3%
사 10
 
2.2%
8
 
1.8%
현 6
 
1.3%
리 6
 
1.3%
합 6
 
1.3%
종 6
 
1.3%
Other values (109) 175
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
95.4%
Space Separator 8
 
1.8%
Decimal Number 5
 
1.1%
Uppercase Letter 4
 
0.9%
Lowercase Letter 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
14.5%
물 62
 
14.3%
병 56
 
12.9%
원 56
 
12.9%
사 10
 
2.3%
현 6
 
1.4%
리 6
 
1.4%
합 6
 
1.4%
종 6
 
1.4%
이 5
 
1.2%
Other values (96) 157
36.3%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
6 1
20.0%
3 1
20.0%
2 1
20.0%
4 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
H 1
25.0%
I 1
25.0%
W 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
95.4%
Common 15
 
3.3%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
14.5%
물 62
 
14.3%
병 56
 
12.9%
원 56
 
12.9%
사 10
 
2.3%
현 6
 
1.4%
리 6
 
1.4%
합 6
 
1.4%
종 6
 
1.4%
이 5
 
1.2%
Other values (96) 157
36.3%
Common
ValueCountFrequency (%)
8
53.3%
5 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
2 1
 
6.7%
4 1
 
6.7%
) 1
 
6.7%
( 1
 
6.7%
Latin
ValueCountFrequency (%)
n 2
33.3%
T 1
16.7%
H 1
16.7%
I 1
16.7%
W 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
95.4%
ASCII 21
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 63
14.5%
물 62
 
14.3%
병 56
 
12.9%
원 56
 
12.9%
사 10
 
2.3%
현 6
 
1.4%
리 6
 
1.4%
합 6
 
1.4%
종 6
 
1.4%
이 5
 
1.2%
Other values (96) 157
36.3%
ASCII
ValueCountFrequency (%)
8
38.1%
n 2
 
9.5%
5 1
 
4.8%
6 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
T 1
 
4.8%
) 1
 
4.8%
( 1
 
4.8%
Other values (3) 3
 
14.3%

최종수정일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2003-10-02 13:09:53
Maximum2024-05-02 11:04:07
2024-05-11T15:07:50.882300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:51.134205image/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 size620.0 B
I
33 
U
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 33
54.1%
U 28
45.9%

Length

2024-05-11T15:07:51.364961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:51.546277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
54.1%
u 28
45.9%

데이터갱신일자
Date

Distinct32
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:07:51.740889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:51.980066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

좌표정보(X)
Real number (ℝ)

Distinct42
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203520.99
Minimum201440.4
Maximum204335.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T15:07:52.213406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201440.4
5-th percentile202376.45
Q1203101.11
median203742.04
Q3203947.71
95-th percentile204177.92
Maximum204335.32
Range2894.9225
Interquartile range (IQR)846.60387

Descriptive statistics

Standard deviation590.62223
Coefficient of variation (CV)0.0029020212
Kurtosis1.2666457
Mean203520.99
Median Absolute Deviation (MAD)290.98502
Skewness-1.1127372
Sum12414780
Variance348834.62
MonotonicityNot monotonic
2024-05-11T15:07:52.436800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
203920.444016775 5
 
8.2%
204033.029526528 4
 
6.6%
203947.714821842 3
 
4.9%
202376.452513796 3
 
4.9%
204177.919417522 3
 
4.9%
203616.99372944 2
 
3.3%
203641.777148553 2
 
3.3%
203790.013568785 2
 
3.3%
203044.803049581 2
 
3.3%
203742.044502624 2
 
3.3%
Other values (32) 33
54.1%
ValueCountFrequency (%)
201440.396062205 1
 
1.6%
202376.452513796 3
4.9%
202422.313606872 1
 
1.6%
202728.506823589 1
 
1.6%
202807.230907617 1
 
1.6%
202901.123920636 1
 
1.6%
202904.72398945 1
 
1.6%
202934.346604855 1
 
1.6%
202939.218770156 1
 
1.6%
202988.051735229 1
 
1.6%
ValueCountFrequency (%)
204335.318536601 1
 
1.6%
204313.906829097 1
 
1.6%
204177.919417522 3
4.9%
204120.986290612 1
 
1.6%
204036.76220241 1
 
1.6%
204033.029526528 4
6.6%
204021.391638685 1
 
1.6%
204021.114773736 1
 
1.6%
203984.137173444 1
 
1.6%
203961.427729229 1
 
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct42
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462147.09
Minimum459759.11
Maximum464474.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T15:07:52.665248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459759.11
5-th percentile460585.6
Q1461471.47
median462206.3
Q3462830.48
95-th percentile464460.4
Maximum464474.91
Range4715.8007
Interquartile range (IQR)1359.0127

Descriptive statistics

Standard deviation1065.5664
Coefficient of variation (CV)0.0023056867
Kurtosis0.047717374
Mean462147.09
Median Absolute Deviation (MAD)712.91859
Skewness0.19453791
Sum28190972
Variance1135431.8
MonotonicityNot monotonic
2024-05-11T15:07:52.899081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
462830.484935873 5
 
8.2%
463003.544512347 4
 
6.6%
464474.910004698 3
 
4.9%
461534.679833377 3
 
4.9%
462206.300875128 3
 
4.9%
461894.698561314 2
 
3.3%
462446.501602808 2
 
3.3%
462495.417040876 2
 
3.3%
460873.221247942 2
 
3.3%
462967.427741735 2
 
3.3%
Other values (32) 33
54.1%
ValueCountFrequency (%)
459759.109333723 1
1.6%
459897.751470537 1
1.6%
460332.718934406 1
1.6%
460585.597088268 1
1.6%
460856.215729699 1
1.6%
460873.221247942 2
3.3%
460888.993509138 1
1.6%
461008.914009807 1
1.6%
461074.834638229 1
1.6%
461149.375115438 1
1.6%
ValueCountFrequency (%)
464474.910004698 3
4.9%
464460.396523556 1
 
1.6%
463621.090034536 1
 
1.6%
463362.584769324 1
 
1.6%
463328.861363197 1
 
1.6%
463311.651294136 1
 
1.6%
463003.544512347 4
6.6%
462967.427741735 2
 
3.3%
462919.219463289 1
 
1.6%
462830.484935873 5
8.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
동물병원
45 
<NA>
16 

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 45
73.8%
<NA> 16
 
26.2%

Length

2024-05-11T15:07:53.112063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:53.282096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 45
73.8%
na 16
 
26.2%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
000
44 
<NA>
16 
L00
 
1

Length

Max length4
Median length3
Mean length3.2622951
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
000 44
72.1%
<NA> 16
 
26.2%
L00 1
 
1.6%

Length

2024-05-11T15:07:53.466236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:53.628562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 44
72.1%
na 16
 
26.2%
l00 1
 
1.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
60 
0
 
1

Length

Max length4
Median length4
Mean length3.9508197
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
98.4%
0 1
 
1.6%

Length

2024-05-11T15:07:53.833239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:54.053746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
98.4%
0 1
 
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0309000030900000101985000119850904<NA>3폐업2폐업20041110<NA><NA><NA>905-057722.57<NA>서울특별시 도봉구 쌍문동 88-115번지서울특별시 도봉구 도봉로 499 (쌍문동)<NA>영풍동물병원2004-11-10 11:41:40I2018-08-31 23:59:59.0<NA>203044.80305460873.221248동물병원<NA><NA>000<NA>
1309000030900000101990000119900919<NA>1영업/정상0정상<NA><NA><NA><NA>900-992966.24<NA>서울특별시 도봉구 쌍문동 356번지 12통7반 삼익빌라 101동 403호서울특별시 도봉구 도봉로 469 (쌍문동)1447퓨리나동물병원2015-09-24 08:40:20I2018-08-31 23:59:59.0<NA>202901.123921460585.597088동물병원<NA><NA>000<NA>
2309000030900000101994000119941223<NA>1영업/정상0정상<NA><NA><NA><NA>992-941420.65<NA>서울특별시 도봉구 창동 635-42번지 20통1반 건영캐스빌아파트 101동 1201호서울특별시 도봉구 덕릉로 230 (창동)1473신창동물병원2015-07-29 11:40:30I2018-08-31 23:59:59.0<NA>202934.346605459897.751471동물병원<NA><NA>000<NA>
3309000030900000101995000119950509<NA>3폐업2폐업20180102<NA><NA><NA>997-007584.9<NA>서울특별시 도봉구 쌍문동 45-8번지서울특별시 도봉구 해등로 184 (쌍문동)1394태일동물종합병원2018-01-02 15:15:43I2018-08-31 23:59:59.0<NA>203144.623159461728.731528동물병원<NA><NA>000<NA>
4309000030900000101995000219950707<NA>1영업/정상0정상<NA><NA><NA><NA>3491-706032.2<NA>서울특별시 도봉구 방학동 664-11번지 15통5반 101호서울특별시 도봉구 도당로 63 (방학동)1356화신종합동물병원2020-02-24 16:02:14U2020-02-26 02:40:00.0<NA>202988.051735462378.786138동물병원<NA><NA>000<NA>
5309000030900000101999000119990526<NA>1영업/정상0정상<NA><NA><NA><NA>992-007439.25<NA>서울특별시 도봉구 창동 568-5번지서울특별시 도봉구 덕릉로 256 (창동)1474한빛동물병원2017-10-24 16:27:29I2018-08-31 23:59:59.0<NA>203442.425106459759.109334동물병원<NA><NA>000<NA>
6309000030900000101999000219991202<NA>1영업/정상0정상<NA><NA><NA><NA>3494-007559.0<NA>서울특별시 도봉구 방학동 653-17서울특별시 도봉구 도봉로 723 (방학동)1350방학동물병원2022-07-28 14:17:33U2021-12-06 21:00:00.0<NA>203742.044503462967.427742<NA><NA><NA><NA><NA>
7309000030900000102000000120000713<NA>3폐업2폐업20060131<NA><NA><NA>993-7581117.8<NA>서울특별시 도봉구 창동 700-33번지서울특별시 도봉구 도봉로 534 (창동)<NA>창동애견종합동물병원2006-01-31 13:46:40I2018-08-31 23:59:59.0<NA>203248.495123461149.375115동물병원<NA><NA>000<NA>
8309000030900000102001000120010115<NA>3폐업2폐업20181031<NA><NA><NA>955-840080.0<NA>서울특별시 도봉구 도봉동 562-26번지서울특별시 도봉구 도봉로 875 (도봉동)1304도담동물병원2018-10-31 14:56:31U2018-11-02 02:35:57.0<NA>203947.714822464474.910005동물병원<NA><NA>000<NA>
9309000030900000102001000220010810<NA>3폐업2폐업20031002<NA><NA><NA>955-847738.44<NA>서울특별시 도봉구 방학동 724-7번지서울특별시 도봉구 방학로 37 (방학동)<NA>두남자동물병원2003-10-02 13:09:53I2018-08-31 23:59:59.0<NA>204177.919418462206.300875동물병원<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
5130900003090000010201900022019-04-10<NA>1영업/정상0정상<NA><NA><NA><NA>3491-8000<NA><NA>서울특별시 도봉구 방학동 680-1 1층서울특별시 도봉구 도봉로 669, 1층 (방학동)1346현대종합동물병원2023-07-25 09:43:54U2022-12-06 22:07:00.0<NA>203641.777149462446.501603<NA><NA><NA><NA><NA>
52309000030900000102019000320190418<NA>1영업/정상0정상<NA><NA><NA><NA>6369-0075<NA><NA>서울특별시 도봉구 도봉동 623-103번지 1층서울특별시 도봉구 마들로 695, 1층 (도봉동)1328빛가온동물병원2019-04-18 15:03:24I2019-04-20 02:20:25.0<NA>204021.114774463311.651294동물병원<NA><NA>000<NA>
5330900003090000010201900042019-09-05<NA>1영업/정상0정상<NA><NA><NA><NA>955-65300.0<NA>서울특별시 도봉구 도봉동 636-12 킴스타워서울특별시 도봉구 마들로 664, 킴스타워 2층 (도봉동)1330김미경 동물병원2023-05-08 17:17:22U2022-12-04 23:00:00.0<NA>204033.029527463003.544512<NA><NA><NA><NA><NA>
54309000030900000102020000120200714<NA>3폐업2폐업20220531<NA><NA><NA><NA>0.0<NA>서울특별시 도봉구 창동 743-23서울특별시 도봉구 마들로 548, 102, 103호 (창동)1408블루핀동물병원2022-06-02 10:47:17U2021-12-06 00:04:00.0<NA>204335.318537462000.584331<NA><NA><NA><NA><NA>
55309000030900000102021000120210421<NA>1영업/정상0정상<NA><NA><NA><NA>026954754474.13<NA>서울특별시 도봉구 쌍문동 256 에벤에셀아파트서울특별시 도봉구 해등로 255, 101동 1층 121~123호 (쌍문동, 에벤에셀아파트)1429보듬동물병원2021-04-21 11:36:23I2021-04-23 00:22:58.0<NA>202422.313607461665.385672동물병원<NA><NA>000<NA>
56309000030900000102022000120220427<NA>1영업/정상0정상<NA><NA><NA><NA>907-751246.02<NA>서울특별시 도봉구 쌍문동 262-10 104호서울특별시 도봉구 시루봉로 59, 104호 (쌍문동)1375사랑해요동물병원2022-04-27 10:46:24I2021-12-03 22:09:00.0<NA>202376.452514461534.679833<NA><NA><NA><NA><NA>
5730900003090000010202200022022-05-24<NA>1영업/정상0정상<NA><NA><NA><NA>900-7555<NA><NA>서울특별시 도봉구 쌍문동 215-1서울특별시 도봉구 해등로26길 7, 111, 112호 (쌍문동)1387아이조은동물병원2023-03-16 13:42:40U2022-12-02 23:08:00.0<NA>202807.230908461791.71963<NA><NA><NA><NA><NA>
5830900003090000010202300012023-06-01<NA>1영업/정상0정상<NA><NA><NA><NA>02-904-1004<NA><NA>서울특별시 도봉구 창동 715-1서울특별시 도봉구 도봉로 578, 2층 2호 (창동)142624시 딜라이트 동물의료센터2023-06-01 13:17:50I2022-12-06 00:03:00.0<NA>203439.447502461539.552727<NA><NA><NA><NA><NA>
5930900003090000010202300022023-06-14<NA>1영업/정상0정상<NA><NA><NA><NA>999-7582<NA><NA>서울특별시 도봉구 쌍문동 474-4서울특별시 도봉구 우이천로 446-3 (쌍문동)1372동물병원 비아츠2023-06-14 11:17:34I2022-12-05 23:06:00.0<NA>201440.396062461200.881242<NA><NA><NA><NA><NA>
6030900003090000010202400012024-01-24<NA>1영업/정상0정상<NA><NA><NA><NA>070-7733-8505152.76<NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 B103-1호 (창동)1413동물진료법인 포레스트2024-05-02 11:04:07U2023-12-05 00:04:00.0<NA>204313.906829461347.878668<NA><NA><NA><NA><NA>