Overview

Dataset statistics

Number of variables30
Number of observations126
Missing cells1231
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.6 KiB
Average record size in memory257.0 B

Variable types

Categorical9
Numeric4
DateTime4
Unsupported8
Text5

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16515/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (79.7%)Imbalance
인허가취소일자 has 126 (100.0%) missing valuesMissing
폐업일자 has 58 (46.0%) missing valuesMissing
휴업시작일자 has 126 (100.0%) missing valuesMissing
휴업종료일자 has 126 (100.0%) missing valuesMissing
재개업일자 has 126 (100.0%) missing valuesMissing
전화번호 has 11 (8.7%) missing valuesMissing
소재지면적 has 14 (11.1%) missing valuesMissing
소재지우편번호 has 126 (100.0%) missing valuesMissing
지번주소 has 24 (19.0%) missing valuesMissing
도로명주소 has 45 (35.7%) missing valuesMissing
도로명우편번호 has 45 (35.7%) missing valuesMissing
업태구분명 has 126 (100.0%) missing valuesMissing
좌표정보(X) has 13 (10.3%) missing valuesMissing
좌표정보(Y) has 13 (10.3%) missing valuesMissing
축산물가공업구분명 has 126 (100.0%) missing valuesMissing
축산일련번호 has 126 (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
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 41 (32.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:05:57.095891
Analysis finished2024-05-11 06:05:57.663600
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3240000
126 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 126
100.0%

Length

2024-05-11T15:05:57.739480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:57.890284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 126
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.24 × 1017
Minimum3.24 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:05:58.064454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.24 × 1017
5-th percentile3.24 × 1017
Q13.24 × 1017
median3.24 × 1017
Q33.24 × 1017
95-th percentile3.24 × 1017
Maximum3.24 × 1017
Range360002
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation77862.08
Coefficient of variation (CV)2.4031506 × 10-13
Kurtosis-0.70740191
Mean3.24 × 1017
Median Absolute Deviation (MAD)49984
Skewness0.06904517
Sum3.930512 × 1018
Variance6.0625036 × 109
MonotonicityStrictly increasing
2024-05-11T15:05:58.276252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324000001019880001 1
 
0.8%
324000001020130004 1
 
0.8%
324000001020160004 1
 
0.8%
324000001020160003 1
 
0.8%
324000001020160002 1
 
0.8%
324000001020160001 1
 
0.8%
324000001020150005 1
 
0.8%
324000001020150004 1
 
0.8%
324000001020150003 1
 
0.8%
324000001020150002 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
324000001019880001 1
0.8%
324000001019910001 1
0.8%
324000001019960001 1
0.8%
324000001019980001 1
0.8%
324000001019990001 1
0.8%
324000001019990002 1
0.8%
324000001019990003 1
0.8%
324000001019990004 1
0.8%
324000001019990005 1
0.8%
324000001020000001 1
0.8%
ValueCountFrequency (%)
324000001020240003 1
0.8%
324000001020240002 1
0.8%
324000001020240001 1
0.8%
324000001020230002 1
0.8%
324000001020230001 1
0.8%
324000001020220004 1
0.8%
324000001020220003 1
0.8%
324000001020220002 1
0.8%
324000001020220001 1
0.8%
324000001020210005 1
0.8%

인허가일자
Date

Distinct119
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1988-10-17 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:05:58.452899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:58.730815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
71 
1
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 71
56.3%
1 55
43.7%

Length

2024-05-11T15:05:58.940730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:59.073003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 71
56.3%
1 55
43.7%

영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
71 
영업/정상
55 

Length

Max length5
Median length2
Mean length3.3095238
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 71
56.3%
영업/정상 55
43.7%

Length

2024-05-11T15:05:59.263358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:59.463344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 71
56.3%
영업/정상 55
43.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2
71 
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 71
56.3%
0 55
43.7%

Length

2024-05-11T15:05:59.660442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:00.244471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 71
56.3%
0 55
43.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
71 
정상
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 71
56.3%
정상 55
43.7%

Length

2024-05-11T15:06:00.435039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:00.605224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 71
56.3%
정상 55
43.7%

폐업일자
Date

MISSING 

Distinct68
Distinct (%)100.0%
Missing58
Missing (%)46.0%
Memory size1.1 KiB
Minimum2003-07-15 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T15:06:00.791368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:01.186841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct88
Distinct (%)76.5%
Missing11
Missing (%)8.7%
Memory size1.1 KiB
2024-05-11T15:06:01.634575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9391304
Min length8

Characters and Unicode

Total characters1143
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)67.0%

Sample

1st row3426-0342
2nd row02-3426-5079
3rd row02-429-8822
4th row487-7575
5th row02-3427-6419
ValueCountFrequency (%)
3428-4036 11
 
9.6%
484-5252 4
 
3.5%
426-1475 4
 
3.5%
428-1161 3
 
2.6%
02-478-2208 3
 
2.6%
02-457-0075 3
 
2.6%
483-0075 2
 
1.7%
02-3427-6419 2
 
1.7%
428-4123 2
 
1.7%
02-426-2775 2
 
1.7%
Other values (78) 79
68.7%
2024-05-11T15:06:02.368557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 189
16.5%
- 177
15.5%
4 175
15.3%
0 130
11.4%
7 118
10.3%
8 89
7.8%
5 84
7.3%
6 56
 
4.9%
3 53
 
4.6%
1 49
 
4.3%
Other values (3) 23
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 964
84.3%
Dash Punctuation 177
 
15.5%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 189
19.6%
4 175
18.2%
0 130
13.5%
7 118
12.2%
8 89
9.2%
5 84
8.7%
6 56
 
5.8%
3 53
 
5.5%
1 49
 
5.1%
9 21
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 189
16.5%
- 177
15.5%
4 175
15.3%
0 130
11.4%
7 118
10.3%
8 89
7.8%
5 84
7.3%
6 56
 
4.9%
3 53
 
4.6%
1 49
 
4.3%
Other values (3) 23
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 189
16.5%
- 177
15.5%
4 175
15.3%
0 130
11.4%
7 118
10.3%
8 89
7.8%
5 84
7.3%
6 56
 
4.9%
3 53
 
4.6%
1 49
 
4.3%
Other values (3) 23
 
2.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)52.7%
Missing14
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean931.22277
Minimum0
Maximum100364
Zeros41
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:06:02.706872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24.65
Q354.205
95-th percentile129.085
Maximum100364
Range100364
Interquartile range (IQR)54.205

Descriptive statistics

Standard deviation9480.2722
Coefficient of variation (CV)10.180456
Kurtosis111.99449
Mean931.22277
Median Absolute Deviation (MAD)24.65
Skewness10.582618
Sum104296.95
Variance89875560
MonotonicityNot monotonic
2024-05-11T15:06:02.967607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
32.5%
11.5 3
 
2.4%
45.7 3
 
2.4%
24.3 3
 
2.4%
61.97 2
 
1.6%
38.0 2
 
1.6%
35.5 2
 
1.6%
12.1 2
 
1.6%
13.37 2
 
1.6%
102.0 2
 
1.6%
Other values (49) 50
39.7%
(Missing) 14
 
11.1%
ValueCountFrequency (%)
0.0 41
32.5%
9.1 1
 
0.8%
11.5 3
 
2.4%
12.1 2
 
1.6%
13.37 2
 
1.6%
18.0 1
 
0.8%
21.38 1
 
0.8%
23.32 1
 
0.8%
24.2 1
 
0.8%
24.3 3
 
2.4%
ValueCountFrequency (%)
100364.0 1
0.8%
322.0 1
0.8%
161.16 1
0.8%
161.13 1
0.8%
147.6 1
0.8%
139.7 1
0.8%
120.4 1
0.8%
102.96 1
0.8%
102.0 2
1.6%
88.24 1
0.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

지번주소
Text

MISSING 

Distinct86
Distinct (%)84.3%
Missing24
Missing (%)19.0%
Memory size1.1 KiB
2024-05-11T15:06:03.406527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length24.323529
Min length14

Characters and Unicode

Total characters2481
Distinct characters121
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

Unique79 ?
Unique (%)77.5%

Sample

1st row서울특별시 강동구 명일동 345-8번지
2nd row서울특별시 강동구 암사동 503-22 내호빌딩
3rd row서울특별시 강동구 상일동 341-2
4th row서울특별시 강동구 길동 348-5번지
5th row서울특별시 강동구 명일동 289-15
ValueCountFrequency (%)
서울특별시 102
21.3%
강동구 102
21.3%
명일동 23
 
4.8%
성내동 16
 
3.3%
천호동 14
 
2.9%
암사동 13
 
2.7%
길동 13
 
2.7%
고덕동 8
 
1.7%
327-1번지 8
 
1.7%
둔촌동 7
 
1.5%
Other values (137) 172
36.0%
2024-05-11T15:06:04.197946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
18.1%
동 208
 
8.4%
시 105
 
4.2%
강 104
 
4.2%
서 103
 
4.2%
울 102
 
4.1%
구 102
 
4.1%
별 102
 
4.1%
특 102
 
4.1%
- 87
 
3.5%
Other values (111) 1018
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1447
58.3%
Decimal Number 483
 
19.5%
Space Separator 448
 
18.1%
Dash Punctuation 87
 
3.5%
Uppercase Letter 10
 
0.4%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 208
14.4%
시 105
 
7.3%
강 104
 
7.2%
서 103
 
7.1%
울 102
 
7.0%
구 102
 
7.0%
별 102
 
7.0%
특 102
 
7.0%
지 67
 
4.6%
번 62
 
4.3%
Other values (88) 390
27.0%
Decimal Number
ValueCountFrequency (%)
2 86
17.8%
1 78
16.1%
4 67
13.9%
3 64
13.3%
5 53
11.0%
0 41
8.5%
7 32
 
6.6%
6 24
 
5.0%
9 22
 
4.6%
8 16
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
20.0%
M 2
20.0%
I 1
10.0%
C 1
10.0%
D 1
10.0%
E 1
10.0%
K 1
10.0%
A 1
10.0%
Space Separator
ValueCountFrequency (%)
448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1447
58.3%
Common 1024
41.3%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 208
14.4%
시 105
 
7.3%
강 104
 
7.2%
서 103
 
7.1%
울 102
 
7.0%
구 102
 
7.0%
별 102
 
7.0%
특 102
 
7.0%
지 67
 
4.6%
번 62
 
4.3%
Other values (88) 390
27.0%
Common
ValueCountFrequency (%)
448
43.8%
- 87
 
8.5%
2 86
 
8.4%
1 78
 
7.6%
4 67
 
6.5%
3 64
 
6.2%
5 53
 
5.2%
0 41
 
4.0%
7 32
 
3.1%
6 24
 
2.3%
Other values (5) 44
 
4.3%
Latin
ValueCountFrequency (%)
B 2
20.0%
M 2
20.0%
I 1
10.0%
C 1
10.0%
D 1
10.0%
E 1
10.0%
K 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1447
58.3%
ASCII 1034
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
43.3%
- 87
 
8.4%
2 86
 
8.3%
1 78
 
7.5%
4 67
 
6.5%
3 64
 
6.2%
5 53
 
5.1%
0 41
 
4.0%
7 32
 
3.1%
6 24
 
2.3%
Other values (13) 54
 
5.2%
Hangul
ValueCountFrequency (%)
동 208
14.4%
시 105
 
7.3%
강 104
 
7.2%
서 103
 
7.1%
울 102
 
7.0%
구 102
 
7.0%
별 102
 
7.0%
특 102
 
7.0%
지 67
 
4.6%
번 62
 
4.3%
Other values (88) 390
27.0%

도로명주소
Text

MISSING 

Distinct78
Distinct (%)96.3%
Missing45
Missing (%)35.7%
Memory size1.1 KiB
2024-05-11T15:06:04.737621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length30.851852
Min length22

Characters and Unicode

Total characters2499
Distinct characters139
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

Unique76 ?
Unique (%)93.8%

Sample

1st row서울특별시 강동구 올림픽로 793, 내호빌딩 1층 (암사동)
2nd row서울특별시 강동구 상일로 13, 1,2층 (상일동)
3rd row서울특별시 강동구 구천면로 431 (명일동)
4th row서울특별시 강동구 천호대로 1199, 1층 104호 (길동)
5th row서울특별시 강동구 구천면로 237 (천호동)
ValueCountFrequency (%)
서울특별시 81
 
16.4%
강동구 81
 
16.4%
1층 18
 
3.7%
성내동 14
 
2.8%
양재대로 14
 
2.8%
천호동 13
 
2.6%
명일동 11
 
2.2%
길동 11
 
2.2%
고덕로 11
 
2.2%
구천면로 10
 
2.0%
Other values (149) 229
46.5%
2024-05-11T15:06:05.462357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
 
16.5%
동 170
 
6.8%
1 116
 
4.6%
구 91
 
3.6%
강 87
 
3.5%
시 84
 
3.4%
서 83
 
3.3%
) 83
 
3.3%
( 83
 
3.3%
로 82
 
3.3%
Other values (129) 1208
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1451
58.1%
Space Separator 412
 
16.5%
Decimal Number 389
 
15.6%
Close Punctuation 83
 
3.3%
Open Punctuation 83
 
3.3%
Other Punctuation 66
 
2.6%
Uppercase Letter 12
 
0.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
11.7%
구 91
 
6.3%
강 87
 
6.0%
시 84
 
5.8%
서 83
 
5.7%
로 82
 
5.7%
특 81
 
5.6%
별 81
 
5.6%
울 81
 
5.6%
호 51
 
3.5%
Other values (107) 560
38.6%
Decimal Number
ValueCountFrequency (%)
1 116
29.8%
2 56
14.4%
0 42
 
10.8%
3 37
 
9.5%
6 29
 
7.5%
9 25
 
6.4%
5 23
 
5.9%
4 21
 
5.4%
7 20
 
5.1%
8 20
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
M 3
25.0%
C 2
16.7%
I 2
16.7%
D 2
16.7%
K 1
 
8.3%
E 1
 
8.3%
B 1
 
8.3%
Space Separator
ValueCountFrequency (%)
412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1451
58.1%
Common 1036
41.5%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
11.7%
구 91
 
6.3%
강 87
 
6.0%
시 84
 
5.8%
서 83
 
5.7%
로 82
 
5.7%
특 81
 
5.6%
별 81
 
5.6%
울 81
 
5.6%
호 51
 
3.5%
Other values (107) 560
38.6%
Common
ValueCountFrequency (%)
412
39.8%
1 116
 
11.2%
) 83
 
8.0%
( 83
 
8.0%
, 66
 
6.4%
2 56
 
5.4%
0 42
 
4.1%
3 37
 
3.6%
6 29
 
2.8%
9 25
 
2.4%
Other values (5) 87
 
8.4%
Latin
ValueCountFrequency (%)
M 3
25.0%
C 2
16.7%
I 2
16.7%
D 2
16.7%
K 1
 
8.3%
E 1
 
8.3%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1451
58.1%
ASCII 1048
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
39.3%
1 116
 
11.1%
) 83
 
7.9%
( 83
 
7.9%
, 66
 
6.3%
2 56
 
5.3%
0 42
 
4.0%
3 37
 
3.5%
6 29
 
2.8%
9 25
 
2.4%
Other values (12) 99
 
9.4%
Hangul
ValueCountFrequency (%)
동 170
 
11.7%
구 91
 
6.3%
강 87
 
6.0%
시 84
 
5.8%
서 83
 
5.7%
로 82
 
5.7%
특 81
 
5.6%
별 81
 
5.6%
울 81
 
5.6%
호 51
 
3.5%
Other values (107) 560
38.6%

도로명우편번호
Text

MISSING 

Distinct53
Distinct (%)65.4%
Missing45
Missing (%)35.7%
Memory size1.1 KiB
2024-05-11T15:06:05.904148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.037037
Min length5

Characters and Unicode

Total characters408
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

Unique35 ?
Unique (%)43.2%

Sample

1st row05241
2nd row05283
3rd row05267
4th row05350
5th row05326
ValueCountFrequency (%)
05350 5
 
6.2%
05269 4
 
4.9%
05222 4
 
4.9%
05306 3
 
3.7%
05314 3
 
3.7%
05236 3
 
3.7%
05373 2
 
2.5%
05356 2
 
2.5%
05224 2
 
2.5%
05251 2
 
2.5%
Other values (43) 51
63.0%
2024-05-11T15:06:06.530339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 97
23.8%
0 94
23.0%
3 58
14.2%
2 53
13.0%
6 23
 
5.6%
1 21
 
5.1%
4 20
 
4.9%
9 18
 
4.4%
7 13
 
3.2%
8 10
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 407
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 97
23.8%
0 94
23.1%
3 58
14.3%
2 53
13.0%
6 23
 
5.7%
1 21
 
5.2%
4 20
 
4.9%
9 18
 
4.4%
7 13
 
3.2%
8 10
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 97
23.8%
0 94
23.0%
3 58
14.2%
2 53
13.0%
6 23
 
5.6%
1 21
 
5.1%
4 20
 
4.9%
9 18
 
4.4%
7 13
 
3.2%
8 10
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 97
23.8%
0 94
23.0%
3 58
14.2%
2 53
13.0%
6 23
 
5.6%
1 21
 
5.1%
4 20
 
4.9%
9 18
 
4.4%
7 13
 
3.2%
8 10
 
2.5%

사업장명
Text

Distinct96
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:06:06.880477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.6349206
Min length5

Characters and Unicode

Total characters962
Distinct characters163
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

Unique81 ?
Unique (%)64.3%

Sample

1st row이진수동물병원
2nd row암사동물병원
3rd rowGD동물병원
4th row아프리카동물병원
5th row피카소동물병원
ValueCountFrequency (%)
신세대동물병원 9
 
6.0%
동물병원 8
 
5.3%
동물의료센터 6
 
4.0%
양지가축동물병원 4
 
2.6%
성내동물병원 4
 
2.6%
주양동물병원 3
 
2.0%
아프리카동물병원 3
 
2.0%
사랑해동물병원 3
 
2.0%
행복동물병원 3
 
2.0%
해피랜드동물병원 2
 
1.3%
Other values (95) 106
70.2%
2024-05-11T15:06:07.431741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 133
 
13.8%
물 125
 
13.0%
병 111
 
11.5%
원 111
 
11.5%
25
 
2.6%
센 16
 
1.7%
터 16
 
1.7%
세 12
 
1.2%
의 12
 
1.2%
료 12
 
1.2%
Other values (153) 389
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 901
93.7%
Space Separator 25
 
2.6%
Decimal Number 12
 
1.2%
Uppercase Letter 12
 
1.2%
Lowercase Letter 6
 
0.6%
Other Punctuation 4
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 133
 
14.8%
물 125
 
13.9%
병 111
 
12.3%
원 111
 
12.3%
센 16
 
1.8%
터 16
 
1.8%
세 12
 
1.3%
의 12
 
1.3%
료 12
 
1.3%
대 10
 
1.1%
Other values (134) 343
38.1%
Uppercase Letter
ValueCountFrequency (%)
D 5
41.7%
C 2
 
16.7%
G 1
 
8.3%
Y 1
 
8.3%
K 1
 
8.3%
S 1
 
8.3%
H 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
r 3
50.0%
k 1
 
16.7%
y 1
 
16.7%
s 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
4 5
41.7%
5 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 901
93.7%
Common 43
 
4.5%
Latin 18
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 133
 
14.8%
물 125
 
13.9%
병 111
 
12.3%
원 111
 
12.3%
센 16
 
1.8%
터 16
 
1.8%
세 12
 
1.3%
의 12
 
1.3%
료 12
 
1.3%
대 10
 
1.1%
Other values (134) 343
38.1%
Latin
ValueCountFrequency (%)
D 5
27.8%
r 3
16.7%
C 2
 
11.1%
k 1
 
5.6%
y 1
 
5.6%
s 1
 
5.6%
G 1
 
5.6%
Y 1
 
5.6%
K 1
 
5.6%
S 1
 
5.6%
Common
ValueCountFrequency (%)
25
58.1%
2 6
 
14.0%
4 5
 
11.6%
. 3
 
7.0%
/ 1
 
2.3%
5 1
 
2.3%
) 1
 
2.3%
( 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 901
93.7%
ASCII 61
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 133
 
14.8%
물 125
 
13.9%
병 111
 
12.3%
원 111
 
12.3%
센 16
 
1.8%
터 16
 
1.8%
세 12
 
1.3%
의 12
 
1.3%
료 12
 
1.3%
대 10
 
1.1%
Other values (134) 343
38.1%
ASCII
ValueCountFrequency (%)
25
41.0%
2 6
 
9.8%
4 5
 
8.2%
D 5
 
8.2%
r 3
 
4.9%
. 3
 
4.9%
C 2
 
3.3%
k 1
 
1.6%
/ 1
 
1.6%
y 1
 
1.6%
Other values (9) 9
 
14.8%

최종수정일자
Date

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2003-07-15 10:56:03
Maximum2024-05-09 10:07:10
2024-05-11T15:06:07.666590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:07.902997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
74 
U
52 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
58.7%
U 52
41.3%

Length

2024-05-11T15:06:08.224452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:08.428361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
58.7%
u 52
41.3%

데이터갱신일자
Date

Distinct41
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T15:06:08.615951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:08.861809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)67.3%
Missing13
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean212602
Minimum210666.54
Maximum215401.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:06:09.088404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210666.54
5-th percentile211025.92
Q1211758.93
median212572.55
Q3212845.88
95-th percentile215109.22
Maximum215401.06
Range4734.5197
Interquartile range (IQR)1086.9429

Descriptive statistics

Standard deviation1179.5586
Coefficient of variation (CV)0.0055482008
Kurtosis0.22247558
Mean212602
Median Absolute Deviation (MAD)623.16477
Skewness0.82198455
Sum24024026
Variance1391358.5
MonotonicityNot monotonic
2024-05-11T15:06:09.282707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212845.87675862 9
 
7.1%
212812.958062523 5
 
4.0%
212334.9584644 4
 
3.2%
212700.316125213 4
 
3.2%
213493.90717524 3
 
2.4%
211193.827035504 3
 
2.4%
211256.072717383 3
 
2.4%
214958.713997465 2
 
1.6%
211949.3893613 2
 
1.6%
215379.100058 2
 
1.6%
Other values (66) 76
60.3%
(Missing) 13
 
10.3%
ValueCountFrequency (%)
210666.544542252 1
 
0.8%
210670.369892293 1
 
0.8%
210908.71905633 1
 
0.8%
210992.497270009 1
 
0.8%
210994.485707652 1
 
0.8%
211025.924972294 2
1.6%
211193.827035504 3
2.4%
211216.359129232 1
 
0.8%
211233.085633783 1
 
0.8%
211256.072717383 3
2.4%
ValueCountFrequency (%)
215401.064224577 1
0.8%
215379.100058 2
1.6%
215227.409207117 1
0.8%
215162.624131128 1
0.8%
215109.220020478 2
1.6%
215101.359476309 1
0.8%
214989.297025493 1
0.8%
214980.063657194 1
0.8%
214958.713997465 2
1.6%
214846.333741577 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)67.3%
Missing13
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean449155.89
Minimum446699.2
Maximum452247.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:06:09.487563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446699.2
5-th percentile447393.69
Q1448138.4
median449389.32
Q3449857.3
95-th percentile450757.04
Maximum452247.43
Range5548.2358
Interquartile range (IQR)1718.8954

Descriptive statistics

Standard deviation1166.7454
Coefficient of variation (CV)0.0025976402
Kurtosis-0.58627848
Mean449155.89
Median Absolute Deviation (MAD)894.13132
Skewness-0.067651884
Sum50754616
Variance1361294.8
MonotonicityNot monotonic
2024-05-11T15:06:09.721572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449772.477083199 9
 
7.1%
449385.82250249 5
 
4.0%
450346.790651613 4
 
3.2%
448138.401469213 4
 
3.2%
450038.847319845 3
 
2.4%
449841.117023708 3
 
2.4%
447678.139475592 3
 
2.4%
450615.470981382 2
 
1.6%
448022.078401654 2
 
1.6%
451691.505203 2
 
1.6%
Other values (66) 76
60.3%
(Missing) 13
 
10.3%
ValueCountFrequency (%)
446699.196101461 2
1.6%
447005.528012764 1
 
0.8%
447040.350280206 1
 
0.8%
447332.475328322 1
 
0.8%
447372.617182859 1
 
0.8%
447407.746325186 2
1.6%
447428.323394054 1
 
0.8%
447509.380024862 2
1.6%
447526.554465662 1
 
0.8%
447678.139475592 3
2.4%
ValueCountFrequency (%)
452247.431947179 1
0.8%
451691.505203 2
1.6%
450945.407863605 1
0.8%
450884.81354734 1
0.8%
450765.323166313 1
0.8%
450751.524331915 1
0.8%
450705.80005269 1
0.8%
450637.954760292 1
0.8%
450636.626425939 1
0.8%
450615.470981382 2
1.6%

축산업무구분명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동물병원
83 
<NA>
43 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 83
65.9%
<NA> 43
34.1%

Length

2024-05-11T15:06:09.949425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:10.147549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 83
65.9%
na 43
34.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

권리주체일련번호
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
000
82 
<NA>
43 
L00
 
1

Length

Max length4
Median length3
Mean length3.3412698
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
000 82
65.1%
<NA> 43
34.1%
L00 1
 
0.8%

Length

2024-05-11T15:06:10.501982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:10.658291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 82
65.1%
na 43
34.1%
l00 1
 
0.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
4

Length

Max length4
Median length4
Mean length3.9047619
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> 122
96.8%
0 4
 
3.2%

Length

2024-05-11T15:06:10.836351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:10.974433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
96.8%
0 4
 
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0324000032400000101988000119881017<NA>3폐업2폐업20090714<NA><NA><NA>3426-034226.4<NA>서울특별시 강동구 명일동 345-8번지<NA><NA>이진수동물병원2009-07-14 11:40:30I2018-08-31 23:59:59.0<NA>212618.653948449389.320473동물병원<NA><NA>000<NA>
132400003240000010199100011991-06-19<NA>1영업/정상0정상<NA><NA><NA><NA>02-3426-50790.0<NA>서울특별시 강동구 암사동 503-22 내호빌딩서울특별시 강동구 올림픽로 793, 내호빌딩 1층 (암사동)05241암사동물병원2023-02-17 13:23:46U2022-12-01 23:09:00.0<NA>211233.085634449979.012199<NA><NA><NA><NA><NA>
232400003240000010199600011996-05-13<NA>1영업/정상0정상<NA><NA><NA><NA>02-429-8822102.0<NA>서울특별시 강동구 상일동 341-2서울특별시 강동구 상일로 13, 1,2층 (상일동)05283GD동물병원2023-02-17 13:24:04U2022-12-01 23:09:00.0<NA>215227.409207449568.521764<NA><NA><NA><NA><NA>
3324000032400000101998000119980213<NA>3폐업2폐업20040407<NA><NA><NA>487-75750.0<NA>서울특별시 강동구 길동 348-5번지<NA><NA>아프리카동물병원2004-04-07 11:49:16I2018-08-31 23:59:59.0<NA>212411.971864448670.048314동물병원<NA><NA>000<NA>
432400003240000010199900011999-01-26<NA>3폐업2폐업2023-03-06<NA><NA><NA>02-3427-641966.0<NA>서울특별시 강동구 명일동 289-15서울특별시 강동구 구천면로 431 (명일동)05267피카소동물병원2023-03-07 08:11:42U2022-12-03 00:09:00.0<NA>212896.156252449786.653911<NA><NA><NA><NA><NA>
532400003240000010199900021999-06-29<NA>1영업/정상0정상<NA><NA><NA><NA>02-484-0075120.4<NA>서울특별시 강동구 길동 151서울특별시 강동구 천호대로 1199, 1층 104호 (길동)05350길종합동물병원2023-02-17 13:25:32U2022-12-01 23:09:00.0<NA>212670.290036448106.911034<NA><NA><NA><NA><NA>
632400003240000010199900031999-09-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-484-84140.0<NA>서울특별시 강동구 천호동 397-27 24통1반서울특별시 강동구 구천면로 237 (천호동)05326세종동물병원2023-02-17 13:26:24U2022-12-01 23:09:00.0<NA>211455.529099448840.068387<NA><NA><NA><NA><NA>
7324000032400000101999000419990918<NA>3폐업2폐업20030715<NA><NA><NA>426-14750.0<NA>서울특별시 강동구 명일동 343-7번지<NA><NA>세종종합동물병원2003-07-15 10:56:03I2018-08-31 23:59:59.0<NA>212812.958063449385.822502동물병원<NA><NA>000<NA>
8324000032400000101999000519991101<NA>3폐업2폐업20180730<NA><NA><NA>3427-75820.0<NA>서울특별시 강동구 암사동 500번지서울특별시 강동구 올림픽로 800 (암사동)05263광나루동물병원2018-07-30 10:04:15I2018-08-31 23:59:59.0<NA>211294.292162450008.493837동물병원<NA><NA>000<NA>
9324000032400000102000000120000523<NA>3폐업2폐업20151124<NA><NA><NA>471-82750.0<NA><NA>서울특별시 강동구 양재대로 1299 (성내동)05408페토피아동물병원2015-12-14 17:38:53I2018-08-31 23:59:59.0<NA>211745.018098446699.196101동물병원<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
116324000032400000102021000520211109<NA>1영업/정상0정상<NA><NA><NA><NA>02-441-7585<NA><NA>서울특별시 강동구 고덕동 210-1 고덕센트럴푸르지오 209호서울특별시 강동구 고덕로 399, 209호 (고덕동, 고덕센트럴푸르지오)05222고덕 동물의료센터2021-11-09 14:21:32I2021-11-11 00:22:54.0<NA>214958.713997450615.470981동물병원<NA><NA>0000
11732400003240000010202200012022-06-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-6949-2475322.0<NA>서울특별시 강동구 성내동 549-1 씨네월드서울특별시 강동구 성내로 48, 씨네월드 1층 (성내동)05399더파크동물의료센터2023-08-02 11:57:31U2022-12-08 00:05:00.0<NA>210992.49727447372.617183<NA><NA><NA><NA><NA>
11832400003240000010202200022022-10-12<NA>1영업/정상0정상<NA><NA><NA><NA>02-478-220818.0<NA>서울특별시 강동구 길동 402-10서울특별시 강동구 천호대로191길 6(길동)05350양지가축동물병원2023-02-17 13:50:56U2022-12-01 23:09:00.0<NA>212700.316125448138.401469<NA><NA><NA><NA><NA>
119324000032400000102022000320221024<NA>1영업/정상0정상<NA><NA><NA><NA>02-441-220272.79<NA>서울특별시 강동구 명일동 46-2 고덕역 효성해링턴 타워 더퍼스트 123호서울특별시 강동구 고덕로 262, 고덕역 효성해링턴 타워 더퍼스트 122,123호 (명일동)05269아이안 동물의료센터2022-12-26 17:39:39U2021-11-01 22:08:00.0<NA>213593.137876450274.382515<NA><NA><NA><NA><NA>
120324000032400000102022000420221027<NA>1영업/정상0정상<NA><NA><NA><NA><NA>25.0<NA>서울특별시 강동구 둔촌동 618-13서울특별시 강동구 동남로49길 60-4, 102호 (둔촌동)05366힐동물병원2022-12-29 11:25:45U2021-11-01 21:01:00.0<NA>212895.28137447860.859272<NA><NA><NA><NA><NA>
12132400003240000010202300012023-03-07<NA>1영업/정상0정상<NA><NA><NA><NA>02-3427-6419<NA><NA>서울특별시 강동구 고덕동 191-3서울특별시 강동구 고덕로83길 32, 2층 (고덕동)05222피카소동물병원2023-03-07 10:38:17I2022-12-03 00:09:00.0<NA>214846.333742450705.800053<NA><NA><NA><NA><NA>
12232400003240000010202300022023-09-25<NA>1영업/정상0정상<NA><NA><NA><NA>02-2135-82570.0<NA>서울특별시 강동구 상일동 226서울특별시 강동구 구천면로 670, 2층 (상일동)05282상일 쓰담쓰담 동물병원2024-02-19 10:23:21U2023-12-01 22:01:00.0<NA>215162.624131449857.296853<NA><NA><NA><NA><NA>
12332400003240000010202400012024-03-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 43-3서울특별시 강동구 양재대로127길 31, 1층 (천호동)05314구민동물병원2024-03-13 13:31:22I2023-12-02 23:05:00.0<NA>212388.041558449247.738024<NA><NA><NA><NA><NA>
12432400003240000010202400022024-04-15<NA>1영업/정상0정상<NA><NA><NA><NA>02-426-8875<NA><NA>서울특별시 강동구 암사동 462-3 서연빌딩서울특별시 강동구 올림픽로 820, 서연빌딩 1층 (암사동)05251프라임 동물의료센터2024-04-15 14:11:01I2023-12-03 23:07:00.0<NA>211349.725354450207.018195<NA><NA><NA><NA><NA>
12532400003240000010202400032024-05-09<NA>1영업/정상0정상<NA><NA><NA><NA>02-2088-1010<NA><NA>서울특별시 강동구 고덕동 693 고덕그라시움(제1상가)서울특별시 강동구 고덕로 353, 고덕그라시움(제1상가) 1층 제비104호 (고덕동)05224루리동물병원2024-05-09 10:07:10I2023-12-04 23:01:00.0<NA>214299.644267450637.95476<NA><NA><NA><NA><NA>