Overview

Dataset statistics

Number of variables30
Number of observations67
Missing cells644
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory261.0 B

Variable types

Categorical10
Numeric6
DateTime2
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16498/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
축산업무구분명 is highly imbalanced (56.5%)Imbalance
권리주체일련번호 is highly imbalanced (56.5%)Imbalance
총인원 is highly imbalanced (61.7%)Imbalance
인허가취소일자 has 67 (100.0%) missing valuesMissing
폐업일자 has 34 (50.7%) missing valuesMissing
휴업시작일자 has 67 (100.0%) missing valuesMissing
휴업종료일자 has 67 (100.0%) missing valuesMissing
재개업일자 has 67 (100.0%) missing valuesMissing
전화번호 has 7 (10.4%) missing valuesMissing
소재지면적 has 1 (1.5%) missing valuesMissing
소재지우편번호 has 67 (100.0%) missing valuesMissing
도로명주소 has 20 (29.9%) missing valuesMissing
도로명우편번호 has 20 (29.9%) missing valuesMissing
업태구분명 has 67 (100.0%) missing valuesMissing
좌표정보(X) has 13 (19.4%) missing valuesMissing
좌표정보(Y) has 13 (19.4%) missing valuesMissing
축산물가공업구분명 has 67 (100.0%) missing valuesMissing
축산일련번호 has 67 (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 30 (44.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:02:00.463185
Analysis finished2024-05-11 06:02:01.081462
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3070000
67 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 67
100.0%

Length

2024-05-11T15:02:01.196439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:01.387103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 67
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.07 × 1017
Minimum3.07 × 1017
Maximum3.07 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T15:02:01.603602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.07 × 1017
5-th percentile3.07 × 1017
Q13.07 × 1017
median3.07 × 1017
Q33.07 × 1017
95-th percentile3.07 × 1017
Maximum3.07 × 1017
Range470000
Interquartile range (IQR)94976

Descriptive statistics

Standard deviation94348.346
Coefficient of variation (CV)3.073236 × 10-13
Kurtosis2.5273729
Mean3.07 × 1017
Median Absolute Deviation (MAD)40000
Skewness-1.1408261
Sum2.122256 × 1018
Variance8.9016104 × 109
MonotonicityStrictly increasing
2024-05-11T15:02:02.016079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
307000001019750001 1
 
1.5%
307000001020080003 1
 
1.5%
307000001020100002 1
 
1.5%
307000001020100001 1
 
1.5%
307000001020090003 1
 
1.5%
307000001020090002 1
 
1.5%
307000001020090001 1
 
1.5%
307000001020080004 1
 
1.5%
307000001020080002 1
 
1.5%
307000001019770001 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
307000001019750001 1
1.5%
307000001019770001 1
1.5%
307000001019800001 1
1.5%
307000001019810001 1
1.5%
307000001019920001 1
1.5%
307000001019980001 1
1.5%
307000001019990001 1
1.5%
307000001020000001 1
1.5%
307000001020000002 1
1.5%
307000001020000003 1
1.5%
ValueCountFrequency (%)
307000001020220001 1
1.5%
307000001020200002 1
1.5%
307000001020200001 1
1.5%
307000001020190002 1
1.5%
307000001020190001 1
1.5%
307000001020180001 1
1.5%
307000001020170001 1
1.5%
307000001020160003 1
1.5%
307000001020160002 1
1.5%
307000001020160001 1
1.5%

인허가일자
Date

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum1975-03-05 00:00:00
Maximum2022-10-24 00:00:00
2024-05-11T15:02:02.291096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:02.569754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
1
34 
3
33 

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 (%)
1 34
50.7%
3 33
49.3%

Length

2024-05-11T15:02:02.861178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:03.065865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
50.7%
3 33
49.3%

영업상태명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
영업/정상
34 
폐업
33 

Length

Max length5
Median length5
Mean length3.5223881
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
50.7%
폐업 33
49.3%

Length

2024-05-11T15:02:03.357589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:03.620209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
50.7%
폐업 33
49.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
0
34 
2
33 

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 (%)
0 34
50.7%
2 33
49.3%

Length

2024-05-11T15:02:03.831944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:04.035143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
50.7%
2 33
49.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
정상
34 
폐업
33 

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 (%)
정상 34
50.7%
폐업 33
49.3%

Length

2024-05-11T15:02:04.329743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:04.534821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 34
50.7%
폐업 33
49.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)100.0%
Missing34
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean20100906
Minimum20030624
Maximum20220228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T15:02:04.721136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030624
5-th percentile20036585
Q120060407
median20080324
Q320150105
95-th percentile20210360
Maximum20220228
Range189604
Interquartile range (IQR)89698

Descriptive statistics

Standard deviation58235.896
Coefficient of variation (CV)0.0028971777
Kurtosis-0.78343866
Mean20100906
Median Absolute Deviation (MAD)39205
Skewness0.73214075
Sum6.6332989 × 108
Variance3.3914195 × 109
MonotonicityNot monotonic
2024-05-11T15:02:04.989347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20081020 1
 
1.5%
20081125 1
 
1.5%
20060728 1
 
1.5%
20070810 1
 
1.5%
20070626 1
 
1.5%
20080324 1
 
1.5%
20180105 1
 
1.5%
20180630 1
 
1.5%
20070817 1
 
1.5%
20140425 1
 
1.5%
Other values (23) 23
34.3%
(Missing) 34
50.7%
ValueCountFrequency (%)
20030624 1
1.5%
20031007 1
1.5%
20040304 1
1.5%
20040501 1
1.5%
20041101 1
1.5%
20041119 1
1.5%
20050202 1
1.5%
20051020 1
1.5%
20060407 1
1.5%
20060728 1
1.5%
ValueCountFrequency (%)
20220228 1
1.5%
20210427 1
1.5%
20210315 1
1.5%
20180630 1
1.5%
20180402 1
1.5%
20180105 1
1.5%
20161206 1
1.5%
20161011 1
1.5%
20150105 1
1.5%
20140425 1
1.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

전화번호
Text

MISSING 

Distinct53
Distinct (%)88.3%
Missing7
Missing (%)10.4%
Memory size668.0 B
2024-05-11T15:02:05.342901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.8333333
Min length8

Characters and Unicode

Total characters530
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

Unique48 ?
Unique (%)80.0%

Sample

1st row917-7082
2nd row914-5545
3rd row02-743-7582
4th row929-5496
5th row943-8575
ValueCountFrequency (%)
929-1212 3
 
5.0%
912-6555 3
 
5.0%
914-5545 2
 
3.3%
989-6763 2
 
3.3%
912-0018 2
 
3.3%
915-5301 1
 
1.7%
917-7082 1
 
1.7%
02-915-5485 1
 
1.7%
926-8275 1
 
1.7%
953-0075 1
 
1.7%
Other values (43) 43
71.7%
2024-05-11T15:02:06.042299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 74
14.0%
- 74
14.0%
5 71
13.4%
2 68
12.8%
7 50
9.4%
0 43
8.1%
8 39
7.4%
1 36
6.8%
4 30
5.7%
6 24
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 456
86.0%
Dash Punctuation 74
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 74
16.2%
5 71
15.6%
2 68
14.9%
7 50
11.0%
0 43
9.4%
8 39
8.6%
1 36
7.9%
4 30
6.6%
6 24
 
5.3%
3 21
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 74
14.0%
- 74
14.0%
5 71
13.4%
2 68
12.8%
7 50
9.4%
0 43
8.1%
8 39
7.4%
1 36
6.8%
4 30
5.7%
6 24
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 74
14.0%
- 74
14.0%
5 71
13.4%
2 68
12.8%
7 50
9.4%
0 43
8.1%
8 39
7.4%
1 36
6.8%
4 30
5.7%
6 24
 
4.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)51.5%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean57.945
Minimum0
Maximum1189.18
Zeros30
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T15:02:06.272485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.65
Q360
95-th percentile163.25
Maximum1189.18
Range1189.18
Interquartile range (IQR)60

Descriptive statistics

Standard deviation151.10605
Coefficient of variation (CV)2.6077496
Kurtosis49.923635
Mean57.945
Median Absolute Deviation (MAD)23.65
Skewness6.6832264
Sum3824.37
Variance22833.039
MonotonicityNot monotonic
2024-05-11T15:02:06.463100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 30
44.8%
115.0 2
 
3.0%
60.0 2
 
3.0%
48.3 2
 
3.0%
125.4 1
 
1.5%
174.0 1
 
1.5%
1189.18 1
 
1.5%
37.6 1
 
1.5%
43.0 1
 
1.5%
155.0 1
 
1.5%
Other values (24) 24
35.8%
ValueCountFrequency (%)
0.0 30
44.8%
18.0 1
 
1.5%
22.0 1
 
1.5%
23.1 1
 
1.5%
24.2 1
 
1.5%
25.1 1
 
1.5%
32.76 1
 
1.5%
33.48 1
 
1.5%
37.6 1
 
1.5%
40.0 1
 
1.5%
ValueCountFrequency (%)
1189.18 1
1.5%
246.24 1
1.5%
174.0 1
1.5%
166.0 1
1.5%
155.0 1
1.5%
136.0 1
1.5%
125.4 1
1.5%
115.0 2
3.0%
112.7 1
1.5%
100.32 1
1.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

지번주소
Text

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T15:02:06.871550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length25.358209
Min length18

Characters and Unicode

Total characters1699
Distinct characters102
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)82.1%

Sample

1st row서울특별시 성북구 장위동 238-184번지
2nd row서울특별시 성북구 정릉동 416-10번지
3rd row서울특별시 성북구 보문동2가 130번지
4th row서울특별시 성북구 석관동 200-11 번지
5th row서울특별시 성북구 하월곡동 77-67 번지
ValueCountFrequency (%)
서울특별시 67
21.4%
성북구 67
21.4%
하월곡동 13
 
4.2%
번지 12
 
3.8%
길음동 10
 
3.2%
정릉동 9
 
2.9%
장위동 8
 
2.6%
종암동 5
 
1.6%
석관동 4
 
1.3%
68-1 3
 
1.0%
Other values (98) 115
36.7%
2024-05-11T15:02:07.476683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
18.9%
1 83
 
4.9%
동 79
 
4.6%
성 70
 
4.1%
북 70
 
4.1%
시 69
 
4.1%
서 67
 
3.9%
울 67
 
3.9%
구 67
 
3.9%
별 67
 
3.9%
Other values (92) 739
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
59.9%
Space Separator 321
 
18.9%
Decimal Number 308
 
18.1%
Dash Punctuation 50
 
2.9%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 79
 
7.8%
성 70
 
6.9%
북 70
 
6.9%
시 69
 
6.8%
서 67
 
6.6%
울 67
 
6.6%
구 67
 
6.6%
별 67
 
6.6%
특 67
 
6.6%
지 52
 
5.1%
Other values (77) 342
33.6%
Decimal Number
ValueCountFrequency (%)
1 83
26.9%
2 47
15.3%
6 34
11.0%
5 28
 
9.1%
3 26
 
8.4%
8 22
 
7.1%
7 21
 
6.8%
4 20
 
6.5%
0 17
 
5.5%
9 10
 
3.2%
Space Separator
ValueCountFrequency (%)
321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
59.9%
Common 682
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 79
 
7.8%
성 70
 
6.9%
북 70
 
6.9%
시 69
 
6.8%
서 67
 
6.6%
울 67
 
6.6%
구 67
 
6.6%
별 67
 
6.6%
특 67
 
6.6%
지 52
 
5.1%
Other values (77) 342
33.6%
Common
ValueCountFrequency (%)
321
47.1%
1 83
 
12.2%
- 50
 
7.3%
2 47
 
6.9%
6 34
 
5.0%
5 28
 
4.1%
3 26
 
3.8%
8 22
 
3.2%
7 21
 
3.1%
4 20
 
2.9%
Other values (5) 30
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
59.9%
ASCII 682
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
47.1%
1 83
 
12.2%
- 50
 
7.3%
2 47
 
6.9%
6 34
 
5.0%
5 28
 
4.1%
3 26
 
3.8%
8 22
 
3.2%
7 21
 
3.1%
4 20
 
2.9%
Other values (5) 30
 
4.4%
Hangul
ValueCountFrequency (%)
동 79
 
7.8%
성 70
 
6.9%
북 70
 
6.9%
시 69
 
6.8%
서 67
 
6.6%
울 67
 
6.6%
구 67
 
6.6%
별 67
 
6.6%
특 67
 
6.6%
지 52
 
5.1%
Other values (77) 342
33.6%

도로명주소
Text

MISSING 

Distinct46
Distinct (%)97.9%
Missing20
Missing (%)29.9%
Memory size668.0 B
2024-05-11T15:02:07.826857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length30.957447
Min length21

Characters and Unicode

Total characters1455
Distinct characters111
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)95.7%

Sample

1st row서울특별시 성북구 장월로 93-1 (장위동)
2nd row서울특별시 성북구 장위로 81 (장위동)
3rd row서울특별시 성북구 성북로 27 (성북동1가)
4th row서울특별시 성북구 동소문로 66 (동소문동3가)
5th row서울특별시 성북구 화랑로 301 (장위동)
ValueCountFrequency (%)
서울특별시 47
 
16.5%
성북구 47
 
16.5%
하월곡동 8
 
2.8%
길음동 8
 
2.8%
1층 8
 
2.8%
장위동 7
 
2.5%
동소문로 7
 
2.5%
정릉동 5
 
1.8%
화랑로 4
 
1.4%
돌곶이로 4
 
1.4%
Other values (114) 140
49.1%
2024-05-11T15:02:08.528813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
16.4%
동 71
 
4.9%
1 52
 
3.6%
성 52
 
3.6%
북 52
 
3.6%
시 49
 
3.4%
) 48
 
3.3%
구 48
 
3.3%
( 48
 
3.3%
로 48
 
3.3%
Other values (101) 749
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 880
60.5%
Space Separator 238
 
16.4%
Decimal Number 206
 
14.2%
Close Punctuation 48
 
3.3%
Open Punctuation 48
 
3.3%
Other Punctuation 31
 
2.1%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
 
8.1%
성 52
 
5.9%
북 52
 
5.9%
시 49
 
5.6%
구 48
 
5.5%
로 48
 
5.5%
울 47
 
5.3%
서 47
 
5.3%
별 47
 
5.3%
특 47
 
5.3%
Other values (86) 372
42.3%
Decimal Number
ValueCountFrequency (%)
1 52
25.2%
2 36
17.5%
3 21
10.2%
0 20
 
9.7%
7 19
 
9.2%
5 16
 
7.8%
6 15
 
7.3%
4 11
 
5.3%
9 10
 
4.9%
8 6
 
2.9%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 880
60.5%
Common 575
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
 
8.1%
성 52
 
5.9%
북 52
 
5.9%
시 49
 
5.6%
구 48
 
5.5%
로 48
 
5.5%
울 47
 
5.3%
서 47
 
5.3%
별 47
 
5.3%
특 47
 
5.3%
Other values (86) 372
42.3%
Common
ValueCountFrequency (%)
238
41.4%
1 52
 
9.0%
) 48
 
8.3%
( 48
 
8.3%
2 36
 
6.3%
, 31
 
5.4%
3 21
 
3.7%
0 20
 
3.5%
7 19
 
3.3%
5 16
 
2.8%
Other values (5) 46
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 880
60.5%
ASCII 575
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
41.4%
1 52
 
9.0%
) 48
 
8.3%
( 48
 
8.3%
2 36
 
6.3%
, 31
 
5.4%
3 21
 
3.7%
0 20
 
3.5%
7 19
 
3.3%
5 16
 
2.8%
Other values (5) 46
 
8.0%
Hangul
ValueCountFrequency (%)
동 71
 
8.1%
성 52
 
5.9%
북 52
 
5.9%
시 49
 
5.6%
구 48
 
5.5%
로 48
 
5.5%
울 47
 
5.3%
서 47
 
5.3%
별 47
 
5.3%
특 47
 
5.3%
Other values (86) 372
42.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)76.6%
Missing20
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean2781.7234
Minimum2711
Maximum2880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T15:02:08.772207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2711
5-th percentile2718
Q12734
median2772
Q32827.5
95-th percentile2871.7
Maximum2880
Range169
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation51.294843
Coefficient of variation (CV)0.018439951
Kurtosis-1.1238093
Mean2781.7234
Median Absolute Deviation (MAD)40
Skewness0.40149841
Sum130741
Variance2631.161
MonotonicityNot monotonic
2024-05-11T15:02:09.027674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2751 3
 
4.5%
2829 2
 
3.0%
2733 2
 
3.0%
2830 2
 
3.0%
2732 2
 
3.0%
2718 2
 
3.0%
2756 2
 
3.0%
2860 2
 
3.0%
2810 2
 
3.0%
2779 2
 
3.0%
Other values (26) 26
38.8%
(Missing) 20
29.9%
ValueCountFrequency (%)
2711 1
1.5%
2715 1
1.5%
2718 2
3.0%
2720 1
1.5%
2724 1
1.5%
2726 1
1.5%
2727 1
1.5%
2732 2
3.0%
2733 2
3.0%
2735 1
1.5%
ValueCountFrequency (%)
2880 1
1.5%
2873 1
1.5%
2872 1
1.5%
2871 1
1.5%
2860 2
3.0%
2846 1
1.5%
2835 1
1.5%
2830 2
3.0%
2829 2
3.0%
2826 1
1.5%

사업장명
Text

Distinct58
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T15:02:09.472541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length6.9701493
Min length5

Characters and Unicode

Total characters467
Distinct characters105
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)76.1%

Sample

1st row장위동물병원
2nd row정릉동물병원
3rd row보문동물병원
4th row광덕동물병원
5th row창문동물병원
ValueCountFrequency (%)
동물병원 6
 
7.3%
포유동물병원 4
 
4.9%
24시 3
 
3.7%
동물의료센터 3
 
3.7%
이솝동물병원 2
 
2.4%
n 2
 
2.4%
비비펫동물병원 2
 
2.4%
미소동물병원 2
 
2.4%
애니동물병원 2
 
2.4%
다나동물병원 2
 
2.4%
Other values (51) 54
65.9%
2024-05-11T15:02:10.136514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 67
14.3%
물 67
14.3%
원 64
 
13.7%
병 63
 
13.5%
15
 
3.2%
포 6
 
1.3%
비 6
 
1.3%
담 5
 
1.1%
북 5
 
1.1%
의 5
 
1.1%
Other values (95) 164
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
93.4%
Space Separator 15
 
3.2%
Uppercase Letter 10
 
2.1%
Decimal Number 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
15.4%
물 67
15.4%
원 64
14.7%
병 63
14.4%
포 6
 
1.4%
비 6
 
1.4%
담 5
 
1.1%
북 5
 
1.1%
의 5
 
1.1%
펫 5
 
1.1%
Other values (85) 143
32.8%
Uppercase Letter
ValueCountFrequency (%)
O 3
30.0%
N 2
20.0%
I 1
 
10.0%
P 1
 
10.0%
V 1
 
10.0%
K 1
 
10.0%
Z 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 3
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
93.4%
Common 21
 
4.5%
Latin 10
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
15.4%
물 67
15.4%
원 64
14.7%
병 63
14.4%
포 6
 
1.4%
비 6
 
1.4%
담 5
 
1.1%
북 5
 
1.1%
의 5
 
1.1%
펫 5
 
1.1%
Other values (85) 143
32.8%
Latin
ValueCountFrequency (%)
O 3
30.0%
N 2
20.0%
I 1
 
10.0%
P 1
 
10.0%
V 1
 
10.0%
K 1
 
10.0%
Z 1
 
10.0%
Common
ValueCountFrequency (%)
15
71.4%
2 3
 
14.3%
4 3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
93.4%
ASCII 31
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 67
15.4%
물 67
15.4%
원 64
14.7%
병 63
14.4%
포 6
 
1.4%
비 6
 
1.4%
담 5
 
1.1%
북 5
 
1.1%
의 5
 
1.1%
펫 5
 
1.1%
Other values (85) 143
32.8%
ASCII
ValueCountFrequency (%)
15
48.4%
2 3
 
9.7%
O 3
 
9.7%
4 3
 
9.7%
N 2
 
6.5%
I 1
 
3.2%
P 1
 
3.2%
V 1
 
3.2%
K 1
 
3.2%
Z 1
 
3.2%

최종수정일자
Date

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2003-06-24 11:33:34
Maximum2024-05-02 09:21:20
2024-05-11T15:02:10.386624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:10.968301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
I
36 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 36
53.7%
U 31
46.3%

Length

2024-05-11T15:02:11.291703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:11.496973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
53.7%
u 31
46.3%

데이터갱신일자
Categorical

Distinct22
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size668.0 B
2018-08-31 23:59:59.0
34 
2019-04-26 02:40:00.0
13 
2021-03-17 02:40:00.0
 
1
2021-02-19 02:40:00.0
 
1
2021-12-06 00:09:00.0
 
1
Other values (17)
17 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)29.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 34
50.7%
2019-04-26 02:40:00.0 13
 
19.4%
2021-03-17 02:40:00.0 1
 
1.5%
2021-02-19 02:40:00.0 1
 
1.5%
2021-12-06 00:09:00.0 1
 
1.5%
2018-10-03 02:35:32.0 1
 
1.5%
2021-04-17 02:40:00.0 1
 
1.5%
2020-12-19 02:40:00.0 1
 
1.5%
2023-12-05 00:04:00.0 1
 
1.5%
2023-12-02 22:03:00.0 1
 
1.5%
Other values (12) 12
 
17.9%

Length

2024-05-11T15:02:11.703279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 34
25.4%
23:59:59.0 34
25.4%
02:40:00.0 25
18.7%
2019-04-26 13
 
9.7%
2021-12-06 2
 
1.5%
2021-09-16 1
 
0.7%
2019-05-09 1
 
0.7%
2021-04-29 1
 
0.7%
2019-09-29 1
 
0.7%
02:22:39.0 1
 
0.7%
Other values (21) 21
15.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing13
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean202401.8
Minimum200082.09
Maximum205362.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T15:02:11.920111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200082.09
5-th percentile200756.04
Q1201264.49
median201976.21
Q3203304.42
95-th percentile205210.5
Maximum205362.89
Range5280.7997
Interquartile range (IQR)2039.9343

Descriptive statistics

Standard deviation1434.2513
Coefficient of variation (CV)0.0070861588
Kurtosis-0.60938809
Mean202401.8
Median Absolute Deviation (MAD)926.54062
Skewness0.63538936
Sum10929697
Variance2057076.7
MonotonicityNot monotonic
2024-05-11T15:02:12.183341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
201759.118043073 2
 
3.0%
203650.819277724 2
 
3.0%
202228.109592009 2
 
3.0%
204905.934016824 2
 
3.0%
203263.300752248 2
 
3.0%
201514.982796105 1
 
1.5%
201682.296447573 1
 
1.5%
201116.337615606 1
 
1.5%
201088.820119772 1
 
1.5%
205288.934195159 1
 
1.5%
Other values (39) 39
58.2%
(Missing) 13
 
19.4%
ValueCountFrequency (%)
200082.088156596 1
1.5%
200269.184445997 1
1.5%
200751.519328521 1
1.5%
200758.469042701 1
1.5%
200822.346009797 1
1.5%
200915.111098778 1
1.5%
200969.910066571 1
1.5%
201051.072165281 1
1.5%
201076.1156515 1
1.5%
201088.820119772 1
1.5%
ValueCountFrequency (%)
205362.887873815 1
1.5%
205327.047828186 1
1.5%
205288.934195159 1
1.5%
205168.265613105 1
1.5%
204905.934016824 2
3.0%
204550.447048285 1
1.5%
204219.55224469 1
1.5%
203965.613216106 1
1.5%
203925.081124418 1
1.5%
203650.819277724 2
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing13
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean455593.58
Minimum453075.56
Maximum457426.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T15:02:12.416578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453075.56
5-th percentile453771.11
Q1454914.75
median455811.63
Q3456350.61
95-th percentile456826.43
Maximum457426.16
Range4350.6006
Interquartile range (IQR)1435.8595

Descriptive statistics

Standard deviation965.21912
Coefficient of variation (CV)0.0021185968
Kurtosis-0.077309633
Mean455593.58
Median Absolute Deviation (MAD)624.10201
Skewness-0.6775136
Sum24602053
Variance931647.94
MonotonicityNot monotonic
2024-05-11T15:02:12.671616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
456372.912165385 2
 
3.0%
455630.293665959 2
 
3.0%
455880.921338158 2
 
3.0%
456539.548893239 2
 
3.0%
455766.554219972 2
 
3.0%
456137.084315817 1
 
1.5%
453515.272296647 1
 
1.5%
454444.297266775 1
 
1.5%
455767.967062142 1
 
1.5%
456079.478432452 1
 
1.5%
Other values (39) 39
58.2%
(Missing) 13
 
19.4%
ValueCountFrequency (%)
453075.559973991 1
1.5%
453515.272296647 1
1.5%
453593.837775363 1
1.5%
453866.556999016 1
1.5%
454182.33005553 1
1.5%
454227.141841011 1
1.5%
454342.918925903 1
1.5%
454391.621845133 1
1.5%
454444.297266775 1
1.5%
454571.634872902 1
1.5%
ValueCountFrequency (%)
457426.160610241 1
1.5%
456870.445363605 1
1.5%
456852.946418316 1
1.5%
456812.157993901 1
1.5%
456807.462480149 1
1.5%
456539.548893239 2
3.0%
456502.379369754 1
1.5%
456490.918628826 1
1.5%
456474.683984875 1
1.5%
456453.529194786 1
1.5%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
동물병원
61 
<NA>
 
6

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 61
91.0%
<NA> 6
 
9.0%

Length

2024-05-11T15:02:12.919513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:13.119395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 61
91.0%
na 6
 
9.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
0
61 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.2686567
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
91.0%
<NA> 6
 
9.0%

Length

2024-05-11T15:02:13.315825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:13.528217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
91.0%
na 6
 
9.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
62 
0
 
5

Length

Max length4
Median length4
Mean length3.7761194
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> 62
92.5%
0 5
 
7.5%

Length

2024-05-11T15:02:13.806411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:14.005752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
92.5%
0 5
 
7.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0307000030700000101975000119750305<NA>3폐업2폐업20100407<NA><NA><NA>917-70820.0<NA>서울특별시 성북구 장위동 238-184번지서울특별시 성북구 장월로 93-1 (장위동)2756장위동물병원2012-03-28 16:08:09I2018-08-31 23:59:59.0<NA>204219.552245456870.445364동물병원<NA><NA>0<NA>
1307000030700000101977000119770405<NA>3폐업2폐업20070817<NA><NA><NA>914-554523.1<NA>서울특별시 성북구 정릉동 416-10번지<NA><NA>정릉동물병원2007-08-17 18:04:43I2018-08-31 23:59:59.0<NA>200915.111099455885.729398동물병원<NA><NA>0<NA>
2307000030700000101980000119801006<NA>3폐업2폐업20031007<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 보문동2가 130번지<NA><NA>보문동물병원2003-10-07 11:29:13I2018-08-31 23:59:59.0<NA>201654.075872453593.837775동물병원<NA><NA>0<NA>
3307000030700000101981000119810702<NA>3폐업2폐업20080604<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 석관동 200-11 번지<NA><NA>광덕동물병원2008-06-04 16:31:04I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
4307000030700000101992000119921008<NA>3폐업2폐업20030624<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 하월곡동 77-67 번지<NA><NA>창문동물병원2003-06-24 11:33:34I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
5307000030700000101998000119980728<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성북구 장위동 225-61번지서울특별시 성북구 장위로 81 (장위동)2756큐동물병원2012-03-27 11:40:18I2018-08-31 23:59:59.0<NA>203965.613216456852.946418동물병원<NA><NA>0<NA>
6307000030700000101999000119990106<NA>1영업/정상0정상<NA><NA><NA><NA>02-743-75820.0<NA>서울특별시 성북구 성북동1가 115-23서울특별시 성북구 성북로 27 (성북동1가)2880한사랑동물병원2021-09-27 15:44:23U2021-09-29 02:40:00.0<NA>200269.184446454227.141841동물병원<NA><NA>00
7307000030700000102000000120000314<NA>1영업/정상0정상<NA><NA><NA><NA>929-549660.0<NA>서울특별시 성북구 동소문동3가 79번지서울특별시 성북구 동소문로 66 (동소문동3가)2860나래종합동물병원2011-12-27 14:14:19I2018-08-31 23:59:59.0<NA>201076.115652454342.918926동물병원<NA><NA>0<NA>
8307000030700000102000000220000110<NA>3폐업2폐업20040501<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 정릉동 285-3 번지<NA><NA>이솝동물병원2004-05-01 09:46:27I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
9307000030700000102000000320000331<NA>3폐업2폐업20210315<NA><NA><NA>943-85750.0<NA>서울특별시 성북구 장위동 6-107서울특별시 성북구 화랑로 301 (장위동)2779다나동물병원2021-03-15 17:15:50U2021-03-17 02:40:00.0<NA>205362.887874456812.157994동물병원<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
57307000030700000102016000120160224<NA>1영업/정상0정상<NA><NA><NA><NA>02-766-7577115.0<NA>서울특별시 성북구 성북동 155-15번지 1층서울특별시 성북구 성북로 66, 1층 (성북동)2835앙리동물병원2019-04-24 13:43:45U2019-04-26 02:40:00.0<NA>200082.088157454571.634873동물병원<NA><NA>0<NA>
58307000030700000102016000220161006<NA>1영업/정상0정상<NA><NA><NA><NA>02-941-557566.0<NA>서울특별시 성북구 길음동 1285번지 길음뉴타운7단지 두산위브상가 103호, 104호서울특별시 성북구 길음로13길 22, 103호, 104호 (길음동, 길음7구역두산위브아파트)2715스마트동물병원 성북길음점2019-04-24 13:44:53U2019-04-26 02:40:00.0<NA>201592.991324456382.966062동물병원<NA><NA>0<NA>
59307000030700000102016000320161212<NA>1영업/정상0정상<NA><NA><NA><NA>912-6555115.0<NA>서울특별시 성북구 하월곡동 62-4번지서울특별시 성북구 오패산로 22 (하월곡동)2751포유동물병원2019-05-07 10:32:08U2019-05-09 02:40:00.0<NA>203263.300752455766.55422동물병원<NA><NA>0<NA>
60307000030700000102017000120170919<NA>1영업/정상0정상<NA><NA><NA><NA>02-927-787860.0<NA>서울특별시 성북구 동소문동6가 237번지서울특별시 성북구 아리랑로 27 (동소문동6가)2830로이동물병원2019-04-24 13:51:12U2019-04-26 02:40:00.0<NA>201321.96698454782.451487동물병원<NA><NA>0<NA>
61307000030700000102018000120180123<NA>3폐업2폐업20210427<NA><NA><NA>917-75820.0<NA>서울특별시 성북구 상월곡동 57-3서울특별시 성북구 장월로1길 57 (상월곡동)2752보람동물병원2021-04-27 13:37:11U2021-04-29 02:40:00.0<NA>203925.081124455959.923992동물병원<NA><NA>0<NA>
62307000030700000102019000120190927<NA>1영업/정상0정상<NA><NA><NA><NA>02-927-751725.1<NA>서울특별시 성북구 동선동5가 1번지서울특별시 성북구 아리랑로 18, 1층 101호 (동선동5가)2829성신동물병원2019-09-27 16:08:47I2019-09-29 02:22:39.0<NA>201372.37813454689.037599동물병원<NA><NA>0<NA>
63307000030700000102019000220191104<NA>1영업/정상0정상<NA><NA><NA><NA>02-982-7975112.7<NA>서울특별시 성북구 길음동 498-1 래미안길음센터피스서울특별시 성북구 숭인로 50, 상가동 2203호 (길음동, 래미안길음센터피스)2727더편한동물병원2021-09-14 11:42:48U2021-09-16 02:40:00.0<NA>202363.573472456453.529195동물병원<NA><NA>00
64307000030700000102020000120200507<NA>1영업/정상0정상<NA><NA><NA><NA>02911758252.8<NA>서울특별시 성북구 장위동 173-114 래미안장위퍼스트하이서울특별시 성북구 한천로 713, 515동 상가 206,207호 (장위동, 래미안장위퍼스트하이)2760퍼스트동물병원2020-11-11 14:48:45U2020-11-13 02:40:00.0<NA>204550.447048457426.16061동물병원<NA><NA>0<NA>
65307000030700000102020000220201203<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-0040136.0<NA>서울특별시 성북구 돈암동 644 돈암코오롱하늘채서울특별시 성북구 아리랑로 75, 상가3동 1층 110호 (돈암동, 돈암코오롱하늘채)2826원러브동물의료센터2022-06-03 09:41:23U2021-12-06 00:05:00.0<NA>201051.072165455205.325182<NA><NA><NA><NA><NA>
66307000030700000102022000120221024<NA>1영업/정상0정상<NA><NA><NA><NA>02-922-755582.0<NA>서울특별시 성북구 보문동7가 102 (주)참존글로벌워크서울특별시 성북구 보문로 51, (주)참존글로벌워크 1층 (보문동7가)2873포포동물병원2022-10-24 09:44:13I2021-10-30 22:06:00.0<NA>201873.076354453075.559974<NA><NA><NA><NA><NA>