Overview

Dataset statistics

Number of variables30
Number of observations71
Missing cells626
Missing cells (%)29.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory259.9 B

Variable types

Categorical11
Numeric5
DateTime3
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16511/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (89.3%)Imbalance
총인원 is highly imbalanced (81.5%)Imbalance
인허가취소일자 has 71 (100.0%) missing valuesMissing
폐업일자 has 28 (39.4%) missing valuesMissing
휴업시작일자 has 71 (100.0%) missing valuesMissing
휴업종료일자 has 71 (100.0%) missing valuesMissing
전화번호 has 5 (7.0%) missing valuesMissing
소재지면적 has 4 (5.6%) missing valuesMissing
소재지우편번호 has 71 (100.0%) missing valuesMissing
도로명주소 has 21 (29.6%) missing valuesMissing
도로명우편번호 has 31 (43.7%) missing valuesMissing
업태구분명 has 71 (100.0%) missing valuesMissing
좌표정보(X) has 20 (28.2%) missing valuesMissing
좌표정보(Y) has 20 (28.2%) missing valuesMissing
축산물가공업구분명 has 71 (100.0%) missing valuesMissing
축산일련번호 has 71 (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
소재지면적 has 20 (28.2%) zerosZeros

Reproduction

Analysis started2024-04-17 18:27:20.071837
Analysis finished2024-04-17 18:27:20.353557
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
3200000
71 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 71
100.0%

Length

2024-04-18T03:27:20.401017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:20.471783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 71
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2 × 1017
Minimum3.2 × 1017
Maximum3.2 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-18T03:27:20.553570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2 × 1017
5-th percentile3.2 × 1017
Q13.2 × 1017
median3.2 × 1017
Q33.2 × 1017
95-th percentile3.2 × 1017
Maximum3.2 × 1017
Range340000
Interquartile range (IQR)89984

Descriptive statistics

Standard deviation79340.454
Coefficient of variation (CV)2.4793892 × 10-13
Kurtosis-0.27089646
Mean3.2 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.13249288
Sum4.273256 × 1018
Variance6.2949076 × 109
MonotonicityStrictly increasing
2024-04-18T03:27:20.666757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320000001019880001 1
 
1.4%
320000001019900001 1
 
1.4%
320000001020110002 1
 
1.4%
320000001020110001 1
 
1.4%
320000001020100002 1
 
1.4%
320000001020100001 1
 
1.4%
320000001020090004 1
 
1.4%
320000001020090003 1
 
1.4%
320000001020090002 1
 
1.4%
320000001020090001 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
320000001019880001 1
1.4%
320000001019900001 1
1.4%
320000001019900002 1
1.4%
320000001019900003 1
1.4%
320000001019910001 1
1.4%
320000001019930001 1
1.4%
320000001019950001 1
1.4%
320000001019960001 1
1.4%
320000001019960002 1
1.4%
320000001019970001 1
1.4%
ValueCountFrequency (%)
320000001020220001 1
1.4%
320000001020200002 1
1.4%
320000001020200001 1
1.4%
320000001020190002 1
1.4%
320000001020190001 1
1.4%
320000001020180002 1
1.4%
320000001020180001 1
1.4%
320000001020160002 1
1.4%
320000001020160001 1
1.4%
320000001020150002 1
1.4%

인허가일자
Date

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum1988-05-27 00:00:00
Maximum2022-04-27 00:00:00
2024-04-18T03:27:20.797492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:27:20.914334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
3
43 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 43
60.6%
1 28
39.4%

Length

2024-04-18T03:27:21.006803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:21.078105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 43
60.6%
1 28
39.4%

영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
폐업
43 
영업/정상
28 

Length

Max length5
Median length2
Mean length3.1830986
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
60.6%
영업/정상 28
39.4%

Length

2024-04-18T03:27:21.159271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:21.231654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
60.6%
영업/정상 28
39.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
2
43 
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 43
60.6%
0 28
39.4%

Length

2024-04-18T03:27:21.310491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:21.382798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
60.6%
0 28
39.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
폐업
43 
정상
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
60.6%
정상 28
39.4%

Length

2024-04-18T03:27:21.458564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:21.533233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
60.6%
정상 28
39.4%

폐업일자
Date

MISSING 

Distinct43
Distinct (%)100.0%
Missing28
Missing (%)39.4%
Memory size700.0 B
Minimum2003-02-26 00:00:00
Maximum2023-04-11 00:00:00
2024-04-18T03:27:21.606720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:27:21.703552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
70 
20160907
 
1

Length

Max length8
Median length4
Mean length4.056338
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
98.6%
20160907 1
 
1.4%

Length

2024-04-18T03:27:21.810647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:21.892868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
98.6%
20160907 1
 
1.4%

전화번호
Text

MISSING 

Distinct55
Distinct (%)83.3%
Missing5
Missing (%)7.0%
Memory size700.0 B
2024-04-18T03:27:22.063090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9242424
Min length8

Characters and Unicode

Total characters655
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

Unique45 ?
Unique (%)68.2%

Sample

1st row02-885-2130
2nd row871-3685
3rd row02-872-7609
4th row02-857-3477
5th row02-889-0575
ValueCountFrequency (%)
883-2733 3
 
4.5%
866-0880 2
 
3.0%
02-888-8807 2
 
3.0%
02-883-2733 2
 
3.0%
875-7582 2
 
3.0%
884-7040 2
 
3.0%
02-880-8661 2
 
3.0%
873-8400 2
 
3.0%
882-9991 2
 
3.0%
02-868-3931 2
 
3.0%
Other values (45) 45
68.2%
2024-04-18T03:27:22.362972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 135
20.6%
- 108
16.5%
7 83
12.7%
0 81
12.4%
2 69
10.5%
5 49
 
7.5%
3 40
 
6.1%
6 28
 
4.3%
9 23
 
3.5%
1 21
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 547
83.5%
Dash Punctuation 108
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 135
24.7%
7 83
15.2%
0 81
14.8%
2 69
12.6%
5 49
 
9.0%
3 40
 
7.3%
6 28
 
5.1%
9 23
 
4.2%
1 21
 
3.8%
4 18
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 655
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 135
20.6%
- 108
16.5%
7 83
12.7%
0 81
12.4%
2 69
10.5%
5 49
 
7.5%
3 40
 
6.1%
6 28
 
4.3%
9 23
 
3.5%
1 21
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 135
20.6%
- 108
16.5%
7 83
12.7%
0 81
12.4%
2 69
10.5%
5 49
 
7.5%
3 40
 
6.1%
6 28
 
4.3%
9 23
 
3.5%
1 21
 
3.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)64.2%
Missing4
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean136.06552
Minimum0
Maximum2575
Zeros20
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-18T03:27:22.492853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q376.86
95-th percentile440.223
Maximum2575
Range2575
Interquartile range (IQR)76.86

Descriptive statistics

Standard deviation420.96062
Coefficient of variation (CV)3.0938081
Kurtosis22.775429
Mean136.06552
Median Absolute Deviation (MAD)33
Skewness4.7245441
Sum9116.39
Variance177207.84
MonotonicityNot monotonic
2024-04-18T03:27:22.607955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 20
28.2%
28.8 4
 
5.6%
76.86 2
 
2.8%
32.0 2
 
2.8%
228.9 1
 
1.4%
46.14 1
 
1.4%
78.58 1
 
1.4%
25.2 1
 
1.4%
18.5 1
 
1.4%
36.85 1
 
1.4%
Other values (33) 33
46.5%
(Missing) 4
 
5.6%
ValueCountFrequency (%)
0.0 20
28.2%
17.01 1
 
1.4%
18.5 1
 
1.4%
23.68 1
 
1.4%
25.2 1
 
1.4%
28.8 4
 
5.6%
29.6 1
 
1.4%
29.7 1
 
1.4%
30.0 1
 
1.4%
32.0 2
 
2.8%
ValueCountFrequency (%)
2575.0 1
1.4%
1963.64 1
1.4%
1390.0 1
1.4%
530.79 1
1.4%
228.9 1
1.4%
150.0 1
1.4%
140.65 1
1.4%
122.5 1
1.4%
95.32 1
1.4%
95.0 1
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

지번주소
Text

Distinct61
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-04-18T03:27:22.803206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length24.380282
Min length17

Characters and Unicode

Total characters1731
Distinct characters63
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)74.6%

Sample

1st row서울특별시 관악구 봉천동 971-14번지 1층
2nd row서울특별시 관악구 봉천동 1686-31번지
3rd row서울특별시 관악구 신림동 409-165번지
4th row서울특별시 관악구 신림동 1567-22 번지
5th row서울특별시 관악구 봉천동 923-23
ValueCountFrequency (%)
서울특별시 71
21.7%
관악구 71
21.7%
봉천동 40
12.2%
신림동 29
 
8.9%
번지 20
 
6.1%
1층 5
 
1.5%
1665-4번지 4
 
1.2%
526-9 3
 
0.9%
남현동 2
 
0.6%
1639-1번지 2
 
0.6%
Other values (71) 80
24.5%
2024-04-18T03:27:23.113143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
19.4%
1 81
 
4.7%
동 73
 
4.2%
서 72
 
4.2%
악 72
 
4.2%
구 72
 
4.2%
울 72
 
4.2%
관 72
 
4.2%
시 71
 
4.1%
별 71
 
4.1%
Other values (53) 739
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 955
55.2%
Decimal Number 367
 
21.2%
Space Separator 336
 
19.4%
Dash Punctuation 70
 
4.0%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 73
 
7.6%
서 72
 
7.5%
악 72
 
7.5%
구 72
 
7.5%
울 72
 
7.5%
관 72
 
7.5%
시 71
 
7.4%
별 71
 
7.4%
특 71
 
7.4%
지 52
 
5.4%
Other values (39) 257
26.9%
Decimal Number
ValueCountFrequency (%)
1 81
22.1%
6 56
15.3%
4 37
10.1%
3 37
10.1%
2 34
9.3%
5 33
9.0%
9 27
 
7.4%
8 23
 
6.3%
7 20
 
5.4%
0 19
 
5.2%
Space Separator
ValueCountFrequency (%)
336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 955
55.2%
Common 774
44.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 73
 
7.6%
서 72
 
7.5%
악 72
 
7.5%
구 72
 
7.5%
울 72
 
7.5%
관 72
 
7.5%
시 71
 
7.4%
별 71
 
7.4%
특 71
 
7.4%
지 52
 
5.4%
Other values (39) 257
26.9%
Common
ValueCountFrequency (%)
336
43.4%
1 81
 
10.5%
- 70
 
9.0%
6 56
 
7.2%
4 37
 
4.8%
3 37
 
4.8%
2 34
 
4.4%
5 33
 
4.3%
9 27
 
3.5%
8 23
 
3.0%
Other values (3) 40
 
5.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 955
55.2%
ASCII 776
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
43.3%
1 81
 
10.4%
- 70
 
9.0%
6 56
 
7.2%
4 37
 
4.8%
3 37
 
4.8%
2 34
 
4.4%
5 33
 
4.3%
9 27
 
3.5%
8 23
 
3.0%
Other values (4) 42
 
5.4%
Hangul
ValueCountFrequency (%)
동 73
 
7.6%
서 72
 
7.5%
악 72
 
7.5%
구 72
 
7.5%
울 72
 
7.5%
관 72
 
7.5%
시 71
 
7.4%
별 71
 
7.4%
특 71
 
7.4%
지 52
 
5.4%
Other values (39) 257
26.9%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)90.0%
Missing21
Missing (%)29.6%
Memory size700.0 B
2024-04-18T03:27:23.310036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length27.04
Min length21

Characters and Unicode

Total characters1352
Distinct characters79
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

Unique42 ?
Unique (%)84.0%

Sample

1st row서울특별시 관악구 봉천로 239, 1층 (봉천동)
2nd row서울특별시 관악구 남부순환로 1929 (봉천동)
3rd row서울특별시 관악구 신림로 265 (신림동)
4th row서울특별시 관악구 남부순환로 1747-1 (봉천동)
5th row서울특별시 관악구 조원중앙로 3, 1층 (신림동)
ValueCountFrequency (%)
서울특별시 50
18.1%
관악구 50
18.1%
봉천동 25
 
9.0%
신림동 22
 
7.9%
남부순환로 16
 
5.8%
1층 9
 
3.2%
봉천로 7
 
2.5%
신림로 5
 
1.8%
인헌6길 4
 
1.4%
1859 4
 
1.4%
Other values (69) 85
30.7%
2024-04-18T03:27:23.603337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
16.8%
악 55
 
4.1%
관 55
 
4.1%
1 53
 
3.9%
동 51
 
3.8%
울 51
 
3.8%
구 51
 
3.8%
서 51
 
3.8%
시 51
 
3.8%
별 50
 
3.7%
Other values (69) 657
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 808
59.8%
Space Separator 227
 
16.8%
Decimal Number 186
 
13.8%
Close Punctuation 50
 
3.7%
Open Punctuation 50
 
3.7%
Other Punctuation 24
 
1.8%
Dash Punctuation 5
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
악 55
 
6.8%
관 55
 
6.8%
동 51
 
6.3%
울 51
 
6.3%
구 51
 
6.3%
서 51
 
6.3%
시 51
 
6.3%
별 50
 
6.2%
특 50
 
6.2%
로 48
 
5.9%
Other values (53) 295
36.5%
Decimal Number
ValueCountFrequency (%)
1 53
28.5%
2 26
14.0%
9 18
 
9.7%
3 18
 
9.7%
5 17
 
9.1%
6 14
 
7.5%
8 12
 
6.5%
4 10
 
5.4%
7 9
 
4.8%
0 9
 
4.8%
Space Separator
ValueCountFrequency (%)
227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 808
59.8%
Common 542
40.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
악 55
 
6.8%
관 55
 
6.8%
동 51
 
6.3%
울 51
 
6.3%
구 51
 
6.3%
서 51
 
6.3%
시 51
 
6.3%
별 50
 
6.2%
특 50
 
6.2%
로 48
 
5.9%
Other values (53) 295
36.5%
Common
ValueCountFrequency (%)
227
41.9%
1 53
 
9.8%
) 50
 
9.2%
( 50
 
9.2%
2 26
 
4.8%
, 24
 
4.4%
9 18
 
3.3%
3 18
 
3.3%
5 17
 
3.1%
6 14
 
2.6%
Other values (5) 45
 
8.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 808
59.8%
ASCII 544
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
41.7%
1 53
 
9.7%
) 50
 
9.2%
( 50
 
9.2%
2 26
 
4.8%
, 24
 
4.4%
9 18
 
3.3%
3 18
 
3.3%
5 17
 
3.1%
6 14
 
2.6%
Other values (6) 47
 
8.6%
Hangul
ValueCountFrequency (%)
악 55
 
6.8%
관 55
 
6.8%
동 51
 
6.3%
울 51
 
6.3%
구 51
 
6.3%
서 51
 
6.3%
시 51
 
6.3%
별 50
 
6.2%
특 50
 
6.2%
로 48
 
5.9%
Other values (53) 295
36.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)70.0%
Missing31
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean8781.075
Minimum8707
Maximum8864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-18T03:27:23.701045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8707
5-th percentile8714.6
Q18753
median8775.5
Q38812.5
95-th percentile8860.2
Maximum8864
Range157
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation45.979587
Coefficient of variation (CV)0.0052362139
Kurtosis-0.86541866
Mean8781.075
Median Absolute Deviation (MAD)32
Skewness0.25042665
Sum351243
Variance2114.1224
MonotonicityNot monotonic
2024-04-18T03:27:23.793375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8793 4
 
5.6%
8768 2
 
2.8%
8845 2
 
2.8%
8789 2
 
2.8%
8715 2
 
2.8%
8864 2
 
2.8%
8761 2
 
2.8%
8826 2
 
2.8%
8707 2
 
2.8%
8739 2
 
2.8%
Other values (18) 18
25.4%
(Missing) 31
43.7%
ValueCountFrequency (%)
8707 2
2.8%
8715 2
2.8%
8722 1
1.4%
8727 1
1.4%
8729 1
1.4%
8739 2
2.8%
8744 1
1.4%
8756 1
1.4%
8757 1
1.4%
8758 1
1.4%
ValueCountFrequency (%)
8864 2
2.8%
8860 1
 
1.4%
8846 1
 
1.4%
8845 2
2.8%
8844 1
 
1.4%
8838 1
 
1.4%
8826 2
2.8%
8808 1
 
1.4%
8793 4
5.6%
8790 1
 
1.4%

사업장명
Text

Distinct61
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-04-18T03:27:23.981046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.4929577
Min length5

Characters and Unicode

Total characters532
Distinct characters128
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

Unique53 ?
Unique (%)74.6%

Sample

1st row보라매동물병원
2nd row에덴동물병원
3rd row한성동물병원
4th row남부동물병원
5th row형제동물의료센터
ValueCountFrequency (%)
동물병원 5
 
6.1%
관악동물종합병원 3
 
3.7%
행복한동물병원 3
 
3.7%
한빛동물병원 2
 
2.4%
서진동물병원 2
 
2.4%
관악동물병원 2
 
2.4%
난곡서울동물병원 2
 
2.4%
세계로동물병원 2
 
2.4%
서울대학교 2
 
2.4%
수의과대학 2
 
2.4%
Other values (57) 57
69.5%
2024-04-18T03:27:24.497324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 70
 
13.2%
물 70
 
13.2%
병 64
 
12.0%
원 64
 
12.0%
11
 
2.1%
서 10
 
1.9%
종 9
 
1.7%
합 9
 
1.7%
대 8
 
1.5%
울 8
 
1.5%
Other values (118) 209
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
96.6%
Space Separator 11
 
2.1%
Uppercase Letter 4
 
0.8%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
13.6%
물 70
 
13.6%
병 64
 
12.5%
원 64
 
12.5%
서 10
 
1.9%
종 9
 
1.8%
합 9
 
1.8%
대 8
 
1.6%
울 8
 
1.6%
터 8
 
1.6%
Other values (111) 194
37.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
R 1
25.0%
S 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
96.6%
Common 14
 
2.6%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
13.6%
물 70
 
13.6%
병 64
 
12.5%
원 64
 
12.5%
서 10
 
1.9%
종 9
 
1.8%
합 9
 
1.8%
대 8
 
1.6%
울 8
 
1.6%
터 8
 
1.6%
Other values (111) 194
37.7%
Common
ValueCountFrequency (%)
11
78.6%
2 1
 
7.1%
4 1
 
7.1%
. 1
 
7.1%
Latin
ValueCountFrequency (%)
D 2
50.0%
R 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
96.6%
ASCII 18
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 70
 
13.6%
물 70
 
13.6%
병 64
 
12.5%
원 64
 
12.5%
서 10
 
1.9%
종 9
 
1.8%
합 9
 
1.8%
대 8
 
1.6%
울 8
 
1.6%
터 8
 
1.6%
Other values (111) 194
37.7%
ASCII
ValueCountFrequency (%)
11
61.1%
D 2
 
11.1%
2 1
 
5.6%
4 1
 
5.6%
R 1
 
5.6%
S 1
 
5.6%
. 1
 
5.6%

최종수정일자
Date

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2003-02-26 17:04:35
Maximum2024-04-01 15:11:54
2024-04-18T03:27:24.600019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:27:24.694717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
I
39 
U
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
54.9%
U 32
45.1%

Length

2024-04-18T03:27:24.796458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:24.887706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
54.9%
u 32
45.1%

데이터갱신일자
Categorical

Distinct28
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2018-08-31 23:59:59.0
38 
2019-03-13 02:40:00.0
4 
2022-10-30 22:09:00.0
 
2
2020-02-09 02:40:00.0
 
2
2022-12-01 23:01:00.0
 
2
Other values (23)
23 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique23 ?
Unique (%)32.4%

Sample

1st row2018-10-11 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-02-17 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2022-10-30 22:09:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 38
53.5%
2019-03-13 02:40:00.0 4
 
5.6%
2022-10-30 22:09:00.0 2
 
2.8%
2020-02-09 02:40:00.0 2
 
2.8%
2022-12-01 23:01:00.0 2
 
2.8%
2020-10-23 02:40:00.0 1
 
1.4%
2019-02-17 02:40:00.0 1
 
1.4%
2019-05-29 02:40:00.0 1
 
1.4%
2022-12-08 00:05:00.0 1
 
1.4%
2022-01-27 02:40:00.0 1
 
1.4%
Other values (18) 18
25.4%

Length

2024-04-18T03:27:24.963698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 39
27.5%
2018-08-31 38
26.8%
02:40:00.0 15
 
10.6%
2019-03-13 4
 
2.8%
22:09:00.0 3
 
2.1%
2023-12-01 3
 
2.1%
23:01:00.0 2
 
1.4%
00:06:00.0 2
 
1.4%
2022-12-01 2
 
1.4%
2022-10-30 2
 
1.4%
Other values (31) 32
22.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)82.4%
Missing20
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean194860.84
Minimum191217.03
Maximum198374.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-18T03:27:25.047706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191217.03
5-th percentile192007.17
Q1193558.6
median195041.47
Q3196083.03
95-th percentile196976.73
Maximum198374.47
Range7157.4468
Interquartile range (IQR)2524.4237

Descriptive statistics

Standard deviation1746.2304
Coefficient of variation (CV)0.0089614229
Kurtosis-0.75992767
Mean194860.84
Median Absolute Deviation (MAD)1138.7362
Skewness-0.22181667
Sum9937902.8
Variance3049320.6
MonotonicityNot monotonic
2024-04-18T03:27:25.144160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
196083.02840924 4
 
5.6%
194203.915081889 2
 
2.8%
195169.07624855 2
 
2.8%
196911.038760415 2
 
2.8%
192592.209792019 2
 
2.8%
196956.012769045 2
 
2.8%
193522.138535762 2
 
2.8%
192082.654096615 1
 
1.4%
196769.632525929 1
 
1.4%
193493.628244192 1
 
1.4%
Other values (32) 32
45.1%
(Missing) 20
28.2%
ValueCountFrequency (%)
191217.026445816 1
1.4%
191443.31480758 1
1.4%
191931.67685502 1
1.4%
192082.654096615 1
1.4%
192478.528723944 1
1.4%
192579.039199522 1
1.4%
192592.209792019 2
2.8%
192806.53263491 1
1.4%
192920.790987367 1
1.4%
193493.628244192 1
1.4%
ValueCountFrequency (%)
198374.473281221 1
1.4%
197965.134833373 1
1.4%
196997.453585186 1
1.4%
196956.012769045 2
2.8%
196911.038760415 2
2.8%
196769.632525929 1
1.4%
196707.77034226 1
1.4%
196510.431759616 1
1.4%
196283.107476338 1
1.4%
196120.039741405 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)82.4%
Missing20
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean441929.28
Minimum440205.26
Maximum443043.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-18T03:27:25.255118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440205.26
5-th percentile440797.32
Q1441488.7
median441997.21
Q3442397.28
95-th percentile442996.34
Maximum443043.55
Range2838.2901
Interquartile range (IQR)908.57939

Descriptive statistics

Standard deviation669.86574
Coefficient of variation (CV)0.0015157759
Kurtosis-0.31985377
Mean441929.28
Median Absolute Deviation (MAD)498.44519
Skewness-0.29712152
Sum22538393
Variance448720.12
MonotonicityNot monotonic
2024-04-18T03:27:25.375392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
441997.214765836 4
 
5.6%
441673.922384128 2
 
2.8%
442768.623490395 2
 
2.8%
441298.336126842 2
 
2.8%
442270.763566203 2
 
2.8%
441322.63604293 2
 
2.8%
442996.344931519 2
 
2.8%
442083.284222806 1
 
1.4%
441562.295776542 1
 
1.4%
443007.527848944 1
 
1.4%
Other values (32) 32
45.1%
(Missing) 20
28.2%
ValueCountFrequency (%)
440205.2603058 1
1.4%
440670.382746186 1
1.4%
440685.11304384 1
1.4%
440909.523032005 1
1.4%
441033.513044892 1
1.4%
441067.798680657 1
1.4%
441211.956328551 1
1.4%
441298.336126842 2
2.8%
441322.63604293 2
2.8%
441340.880869548 1
1.4%
ValueCountFrequency (%)
443043.550424396 1
1.4%
443007.527848944 1
1.4%
442996.344931519 2
2.8%
442768.623490395 2
2.8%
442764.573973275 1
1.4%
442745.315307084 1
1.4%
442691.138064898 1
1.4%
442661.490899376 1
1.4%
442576.937598994 1
1.4%
442517.641115793 1
1.4%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
동물병원
55 
<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 row<NA>

Common Values

ValueCountFrequency (%)
동물병원 55
77.5%
<NA> 16
 
22.5%

Length

2024-04-18T03:27:25.494106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:25.566386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 55
77.5%
na 16
 
22.5%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
0
55 
<NA>
16 

Length

Max length4
Median length1
Mean length1.6760563
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
77.5%
<NA> 16
 
22.5%

Length

2024-04-18T03:27:25.645253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:25.720949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
77.5%
na 16
 
22.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
<NA>
69 
0
 
2

Length

Max length4
Median length4
Mean length3.915493
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> 69
97.2%
0 2
 
2.8%

Length

2024-04-18T03:27:25.801384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:27:25.876621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
97.2%
0 2
 
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0320000032000000101988000119880527<NA>1영업/정상0정상<NA><NA><NA><NA>02-885-213033.0<NA>서울특별시 관악구 봉천동 971-14번지 1층서울특별시 관악구 봉천로 239, 1층 (봉천동)8722보라매동물병원2018-10-11 21:03:14U2018-10-11 23:59:59.0<NA>193595.070904443043.550424동물병원<NA><NA>0<NA>
1320000032000000101990000119900112<NA>3폐업2폐업20090731<NA><NA><NA>871-368529.7<NA>서울특별시 관악구 봉천동 1686-31번지서울특별시 관악구 남부순환로 1929 (봉천동)<NA>에덴동물병원2009-07-31 11:41:06I2018-08-31 23:59:59.0<NA>196707.770342441683.082389동물병원<NA><NA>0<NA>
2320000032000000101990000219900823<NA>1영업/정상0정상<NA><NA><NA><NA>02-872-760993.93<NA>서울특별시 관악구 신림동 409-165번지서울특별시 관악구 신림로 265 (신림동)8844한성동물병원2019-02-15 16:27:52U2019-02-17 02:40:00.0<NA>193902.730103441786.171026동물병원<NA><NA>0<NA>
3320000032000000101990000319900607<NA>3폐업2폐업20060706<NA><NA><NA>02-857-347730.0<NA>서울특별시 관악구 신림동 1567-22 번지<NA><NA>남부동물병원2006-07-06 15:22:13I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
432000003200000010199100011991-04-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-889-057551.66<NA>서울특별시 관악구 봉천동 923-23서울특별시 관악구 남부순환로 1747-1 (봉천동)8757형제동물의료센터2023-10-27 15:16:46U2022-10-30 22:09:00.0<NA>194993.179667442244.266085<NA><NA><NA><NA><NA>
5320000032000000101993000119931010<NA>3폐업2폐업20060816<NA><NA><NA>878-878260.0<NA>서울특별시 관악구 봉천동 7-187 번지<NA><NA>최재준동물병원2006-08-16 13:08:39I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
6320000032000000101995000119950621<NA>1영업/정상0정상<NA><NA><NA><NA>02-837-083795.0<NA>서울특별시 관악구 신림동 1668-14번지 1층서울특별시 관악구 조원중앙로 3, 1층 (신림동)8768DS동물병원2020-02-07 11:22:10U2020-02-09 02:40:00.0<NA>191443.314808442021.677645동물병원<NA><NA>0<NA>
7320000032000000101996000119960823<NA>3폐업2폐업20090324<NA><NA><NA>887-21650.0<NA>서울특별시 관악구 신림동 1429-2번지서울특별시 관악구 봉천로 236 (신림동)<NA>서진동물병원2009-03-24 17:09:06I2018-08-31 23:59:59.0<NA>193522.138536442996.344932동물병원<NA><NA>0<NA>
8320000032000000101996000219960209<NA>3폐업2폐업20030226<NA><NA><NA>883-2733150.0<NA>서울특별시 관악구 봉천동 1665-4 번지<NA><NA>관악동물병원2003-02-26 17:04:35I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
9320000032000000101997000119970414<NA>3폐업2폐업20081006<NA><NA><NA>880-86611390.0<NA>서울특별시 관악구 신림동 산 56-1 번지<NA><NA>서울대부속동물병원2008-10-06 17:30:58I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
61320000032000000102015000220150925<NA>3폐업2폐업20200401<NA><NA><NA>02-830-14940.0<NA>서울특별시 관악구 신림동 487-7번지서울특별시 관악구 남부순환로 1531 (신림동, 태광빌딩)8762동물병원 베를린2020-04-08 16:51:38U2020-04-10 02:40:00.0<NA>192920.790987442345.995549동물병원<NA><NA>0<NA>
6232000003200000010201600012016-04-11<NA>1영업/정상0정상<NA><NA><NA><NA>02-887-1575228.9<NA>서울특별시 관악구 신림동 10-631서울특별시 관악구 남부순환로 1678, 1, 2층 (신림동)8780이로동물의료센터2023-06-12 14:59:19U2022-12-05 23:04:00.0<NA>194342.263827442448.563338<NA><NA><NA><NA><NA>
63320000032000000102016000220160721<NA>3폐업2폐업20181015<NA><NA><NA>02-877-7533140.65<NA>서울특별시 관악구 봉천동 1601-23번지서울특별시 관악구 봉천로 516 (봉천동)8789연세동물병원2018-10-29 10:58:29U2018-10-31 02:36:00.0<NA>196004.97741441952.163704동물병원<NA><NA>0<NA>
64320000032000000102018000120180131<NA>1영업/정상0정상<NA><NA><NA><NA>02-883-00070.0<NA>서울특별시 관악구 봉천동 622-74번지서울특별시 관악구 은천로 85 (봉천동)8715더블유동물병원2019-03-11 14:11:18U2019-03-13 02:40:00.0<NA>195041.466293442764.573973동물병원<NA><NA>0<NA>
65320000032000000102018000220180801<NA>1영업/정상0정상<NA><NA><NA><NA>02-888-88070.0<NA>서울특별시 관악구 신림동 408-143번지 1층서울특별시 관악구 신림로 233, 1층 (신림동)8845서울종합동물병원2020-02-07 11:23:17U2020-02-09 02:40:00.0<NA>194203.915082441673.922384동물병원<NA><NA>0<NA>
6632000003200000010201900012019-04-03<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-24750.0<NA>서울특별시 관악구 봉천동 1673-21 1층 103호서울특별시 관악구 남부순환로 1861, 1층 103호 (봉천동)873924시 굿케어동물의료센터2024-04-01 15:11:54U2023-12-04 00:03:00.0<NA>196120.039741441980.475413<NA><NA><NA><NA><NA>
67320000032000000102019000220190610<NA>3폐업2폐업20220516<NA><NA><NA>02-867-77760.0<NA>서울특별시 관악구 신림동 1484-6 101호서울특별시 관악구 남부순환로 1444, 101호 (신림동)8771스누피동물병원2022-05-16 14:08:25U2021-12-04 23:08:00.0<NA>192082.654097442083.284223<NA><NA><NA><NA><NA>
68320000032000000102020000120200131<NA>1영업/정상0정상<NA><NA><NA><NA>02-878-9978<NA><NA>서울특별시 관악구 봉천동 1612-1번지서울특별시 관악구 봉천로 520, 3층 (봉천동)8789봉천현대동물병원2020-02-06 10:22:46U2020-02-08 02:40:00.0<NA>196011.003717441917.187263동물병원<NA><NA>0<NA>
6932000003200000010202000022020-06-01<NA>1영업/정상0정상<NA><NA><NA><NA>02-872-7582<NA><NA>서울특별시 관악구 봉천동 1563-6서울특별시 관악구 쑥고개로 57-1, 1층 (봉천동)8785비바동물병원2023-05-23 14:23:10U2022-12-04 22:05:00.0<NA>194881.551431441956.777753<NA><NA><NA><NA><NA>
70320000032000000102022000120220427<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 300-17 관악구재향군인회서울특별시 관악구 낙성대로 32, 관악구재향군인회 301호 (봉천동)8790닥터펫보리 특수클리닉2022-04-27 10:06:46I2021-12-03 22:09:00.0<NA>196283.107476441498.76958<NA><NA><NA><NA><NA>