Overview

Dataset statistics

Number of variables30
Number of observations78
Missing cells591
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory259.7 B

Variable types

Categorical11
Numeric5
DateTime4
Unsupported6
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16495/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (87.5%)Imbalance
휴업종료일자 is highly imbalanced (87.5%)Imbalance
총인원 is highly imbalanced (82.8%)Imbalance
인허가취소일자 has 78 (100.0%) missing valuesMissing
폐업일자 has 36 (46.2%) missing valuesMissing
재개업일자 has 78 (100.0%) missing valuesMissing
전화번호 has 12 (15.4%) missing valuesMissing
소재지면적 has 2 (2.6%) missing valuesMissing
소재지우편번호 has 78 (100.0%) missing valuesMissing
지번주소 has 5 (6.4%) missing valuesMissing
도로명주소 has 23 (29.5%) missing valuesMissing
도로명우편번호 has 23 (29.5%) missing valuesMissing
업태구분명 has 78 (100.0%) missing valuesMissing
좌표정보(X) has 11 (14.1%) missing valuesMissing
좌표정보(Y) has 11 (14.1%) missing valuesMissing
축산물가공업구분명 has 78 (100.0%) missing valuesMissing
축산일련번호 has 78 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 13 (16.7%) zerosZeros

Reproduction

Analysis started2024-05-11 04:16:48.788871
Analysis finished2024-05-11 04:16:49.698446
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
3040000
78 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 78
100.0%

Length

2024-05-11T04:16:49.999473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:16:50.397968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 78
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04 × 1017
Minimum3.04 × 1017
Maximum3.04 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-11T04:16:50.984561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04 × 1017
5-th percentile3.04 × 1017
Q13.04 × 1017
median3.04 × 1017
Q33.04 × 1017
95-th percentile3.04 × 1017
Maximum3.04 × 1017
Range290000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation74407.878
Coefficient of variation (CV)2.4476275 × 10-13
Kurtosis-0.96351745
Mean3.04 × 1017
Median Absolute Deviation (MAD)64960
Skewness0.17415951
Sum5.265256 × 1018
Variance5.5365322 × 109
MonotonicityStrictly increasing
2024-05-11T04:16:51.577874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304000001019950001 1
 
1.3%
304000001020110004 1
 
1.3%
304000001020140001 1
 
1.3%
304000001020130003 1
 
1.3%
304000001020130002 1
 
1.3%
304000001020130001 1
 
1.3%
304000001020120003 1
 
1.3%
304000001020120002 1
 
1.3%
304000001020120001 1
 
1.3%
304000001020110003 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
304000001019950001 1
1.3%
304000001019950002 1
1.3%
304000001019950003 1
1.3%
304000001019960001 1
1.3%
304000001019960002 1
1.3%
304000001019970001 1
1.3%
304000001019970002 1
1.3%
304000001019980001 1
1.3%
304000001019990001 1
1.3%
304000001019990002 1
1.3%
ValueCountFrequency (%)
304000001020240001 1
1.3%
304000001020230001 1
1.3%
304000001020210001 1
1.3%
304000001020190001 1
1.3%
304000001020180001 1
1.3%
304000001020170006 1
1.3%
304000001020170005 1
1.3%
304000001020170004 1
1.3%
304000001020170003 1
1.3%
304000001020170002 1
1.3%

인허가일자
Date

Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum1995-03-01 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T04:16:52.075430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:16:52.868106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
3
43 
1
33 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 43
55.1%
1 33
42.3%
2 1
 
1.3%
4 1
 
1.3%

Length

2024-05-11T04:16:53.333985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:16:53.786283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 43
55.1%
1 33
42.3%
2 1
 
1.3%
4 1
 
1.3%

영업상태명
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
폐업
43 
영업/정상
33 
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.4230769
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
55.1%
영업/정상 33
42.3%
휴업 1
 
1.3%
취소/말소/만료/정지/중지 1
 
1.3%

Length

2024-05-11T04:16:54.337118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:16:54.833554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
55.1%
영업/정상 33
42.3%
휴업 1
 
1.3%
취소/말소/만료/정지/중지 1
 
1.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
2
43 
0
33 
1
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 43
55.1%
0 33
42.3%
1 1
 
1.3%
4 1
 
1.3%

Length

2024-05-11T04:16:55.625544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:16:56.320321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
55.1%
0 33
42.3%
1 1
 
1.3%
4 1
 
1.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
폐업
43 
정상
33 
휴업
 
1
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
55.1%
정상 33
42.3%
휴업 1
 
1.3%
말소 1
 
1.3%

Length

2024-05-11T04:16:57.046846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:16:57.474799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
55.1%
정상 33
42.3%
휴업 1
 
1.3%
말소 1
 
1.3%

폐업일자
Date

MISSING 

Distinct41
Distinct (%)97.6%
Missing36
Missing (%)46.2%
Memory size756.0 B
Minimum2000-02-06 00:00:00
Maximum2023-08-01 00:00:00
2024-05-11T04:16:57.953850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:16:58.434091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
<NA>
76 
20090420
 
1
20180603
 
1

Length

Max length8
Median length4
Mean length4.1025641
Min length4

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row20090420
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 76
97.4%
20090420 1
 
1.3%
20180603 1
 
1.3%

Length

2024-05-11T04:16:59.104331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:16:59.532479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
97.4%
20090420 1
 
1.3%
20180603 1
 
1.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
<NA>
76 
20100420
 
1
20200101
 
1

Length

Max length8
Median length4
Mean length4.1025641
Min length4

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row20100420
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 76
97.4%
20100420 1
 
1.3%
20200101 1
 
1.3%

Length

2024-05-11T04:16:59.879080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:00.214104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
97.4%
20100420 1
 
1.3%
20200101 1
 
1.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

전화번호
Text

MISSING 

Distinct57
Distinct (%)86.4%
Missing12
Missing (%)15.4%
Memory size756.0 B
2024-05-11T04:17:00.699181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.6515152
Min length8

Characters and Unicode

Total characters571
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

Unique51 ?
Unique (%)77.3%

Sample

1st row446-9984
2nd row464-2748
3rd row457-0231
4th row3409-4640
5th row454-0882
ValueCountFrequency (%)
457-0231 4
 
6.1%
465-7582 3
 
4.5%
444-8111 2
 
3.0%
468-6612 2
 
3.0%
454-8275 2
 
3.0%
464-2748 2
 
3.0%
457-7582 1
 
1.5%
2024-1253 1
 
1.5%
464-7588 1
 
1.5%
456-0975 1
 
1.5%
Other values (47) 47
71.2%
2024-05-11T04:17:01.662788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 98
17.2%
5 82
14.4%
- 75
13.1%
2 59
10.3%
7 58
10.2%
0 48
8.4%
6 38
 
6.7%
8 37
 
6.5%
3 26
 
4.6%
9 26
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 496
86.9%
Dash Punctuation 75
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 98
19.8%
5 82
16.5%
2 59
11.9%
7 58
11.7%
0 48
9.7%
6 38
 
7.7%
8 37
 
7.5%
3 26
 
5.2%
9 26
 
5.2%
1 24
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 571
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 98
17.2%
5 82
14.4%
- 75
13.1%
2 59
10.3%
7 58
10.2%
0 48
8.4%
6 38
 
6.7%
8 37
 
6.5%
3 26
 
4.6%
9 26
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 98
17.2%
5 82
14.4%
- 75
13.1%
2 59
10.3%
7 58
10.2%
0 48
8.4%
6 38
 
6.7%
8 37
 
6.5%
3 26
 
4.6%
9 26
 
4.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)75.0%
Missing2
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean97.928289
Minimum0
Maximum1674.45
Zeros13
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-11T04:17:02.111626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.265
median57.15
Q389.8575
95-th percentile191.55
Maximum1674.45
Range1674.45
Interquartile range (IQR)59.5925

Descriptive statistics

Standard deviation231.4648
Coefficient of variation (CV)2.3636152
Kurtosis35.847113
Mean97.928289
Median Absolute Deviation (MAD)29.955
Skewness5.8586058
Sum7442.55
Variance53575.952
MonotonicityNot monotonic
2024-05-11T04:17:02.546604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
16.7%
64.97 3
 
3.8%
125.4 3
 
3.8%
44.45 2
 
2.6%
65.0 2
 
2.6%
35.64 2
 
2.6%
60.08 1
 
1.3%
199.2 1
 
1.3%
99.64 1
 
1.3%
49.14 1
 
1.3%
Other values (47) 47
60.3%
(Missing) 2
 
2.6%
ValueCountFrequency (%)
0.0 13
16.7%
21.0 1
 
1.3%
23.8 1
 
1.3%
26.1 1
 
1.3%
26.4 1
 
1.3%
28.0 1
 
1.3%
29.2 1
 
1.3%
30.62 1
 
1.3%
34.0 1
 
1.3%
35.64 2
 
2.6%
ValueCountFrequency (%)
1674.45 1
 
1.3%
1216.35 1
 
1.3%
263.4 1
 
1.3%
199.2 1
 
1.3%
189.0 1
 
1.3%
140.0 1
 
1.3%
127.0 1
 
1.3%
125.4 3
3.8%
121.03 1
 
1.3%
116.79 1
 
1.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

지번주소
Text

MISSING 

Distinct63
Distinct (%)86.3%
Missing5
Missing (%)6.4%
Memory size756.0 B
2024-05-11T04:17:03.175218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length22.054795
Min length14

Characters and Unicode

Total characters1610
Distinct characters53
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)72.6%

Sample

1st row서울특별시 광진구 구의동 233-27번지
2nd row서울특별시 광진구 자양동 236-127번지
3rd row서울특별시 광진구 자양동 616-38번지
4th row서울특별시 광진구 군자동 355-10번지
5th row서울특별시 광진구 중곡동 198-1 번지
ValueCountFrequency (%)
서울특별시 73
23.6%
광진구 73
23.6%
자양동 32
 
10.4%
구의동 11
 
3.6%
중곡동 10
 
3.2%
군자동 9
 
2.9%
번지 8
 
2.6%
광장동 6
 
1.9%
화양동 3
 
1.0%
615-14번지 2
 
0.6%
Other values (71) 82
26.5%
2024-05-11T04:17:04.150586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
18.4%
구 85
 
5.3%
광 79
 
4.9%
서 73
 
4.5%
특 73
 
4.5%
별 73
 
4.5%
시 73
 
4.5%
진 73
 
4.5%
울 73
 
4.5%
동 73
 
4.5%
Other values (43) 638
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 930
57.8%
Decimal Number 319
 
19.8%
Space Separator 297
 
18.4%
Dash Punctuation 64
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 85
9.1%
광 79
 
8.5%
서 73
 
7.8%
특 73
 
7.8%
별 73
 
7.8%
시 73
 
7.8%
진 73
 
7.8%
울 73
 
7.8%
동 73
 
7.8%
지 47
 
5.1%
Other values (31) 208
22.4%
Decimal Number
ValueCountFrequency (%)
6 56
17.6%
1 55
17.2%
2 42
13.2%
5 37
11.6%
3 37
11.6%
4 20
 
6.3%
8 20
 
6.3%
7 20
 
6.3%
0 19
 
6.0%
9 13
 
4.1%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 930
57.8%
Common 680
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 85
9.1%
광 79
 
8.5%
서 73
 
7.8%
특 73
 
7.8%
별 73
 
7.8%
시 73
 
7.8%
진 73
 
7.8%
울 73
 
7.8%
동 73
 
7.8%
지 47
 
5.1%
Other values (31) 208
22.4%
Common
ValueCountFrequency (%)
297
43.7%
- 64
 
9.4%
6 56
 
8.2%
1 55
 
8.1%
2 42
 
6.2%
5 37
 
5.4%
3 37
 
5.4%
4 20
 
2.9%
8 20
 
2.9%
7 20
 
2.9%
Other values (2) 32
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 930
57.8%
ASCII 680
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
43.7%
- 64
 
9.4%
6 56
 
8.2%
1 55
 
8.1%
2 42
 
6.2%
5 37
 
5.4%
3 37
 
5.4%
4 20
 
2.9%
8 20
 
2.9%
7 20
 
2.9%
Other values (2) 32
 
4.7%
Hangul
ValueCountFrequency (%)
구 85
9.1%
광 79
 
8.5%
서 73
 
7.8%
특 73
 
7.8%
별 73
 
7.8%
시 73
 
7.8%
진 73
 
7.8%
울 73
 
7.8%
동 73
 
7.8%
지 47
 
5.1%
Other values (31) 208
22.4%

도로명주소
Text

MISSING 

Distinct51
Distinct (%)92.7%
Missing23
Missing (%)29.5%
Memory size756.0 B
2024-05-11T04:17:04.711761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length25.927273
Min length22

Characters and Unicode

Total characters1426
Distinct characters72
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

Unique49 ?
Unique (%)89.1%

Sample

1st row서울특별시 광진구 뚝섬로 619 (자양동)
2nd row서울특별시 광진구 광나루로 341 (군자동)
3rd row서울특별시 광진구 아차산로 451 (구의동)
4th row서울특별시 광진구 아차산로 493 (광장동)
5th row서울특별시 광진구 면목로 117 (중곡동)
ValueCountFrequency (%)
서울특별시 55
18.4%
광진구 55
18.4%
자양동 26
 
8.7%
뚝섬로 12
 
4.0%
능동로 9
 
3.0%
중곡동 8
 
2.7%
구의동 8
 
2.7%
아차산로 8
 
2.7%
광나루로 7
 
2.3%
1층 7
 
2.3%
Other values (73) 104
34.8%
2024-05-11T04:17:05.719654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
 
17.1%
광 69
 
4.8%
동 67
 
4.7%
구 63
 
4.4%
진 56
 
3.9%
서 55
 
3.9%
로 55
 
3.9%
울 55
 
3.9%
) 55
 
3.9%
( 55
 
3.9%
Other values (62) 652
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 850
59.6%
Space Separator 244
 
17.1%
Decimal Number 195
 
13.7%
Close Punctuation 55
 
3.9%
Open Punctuation 55
 
3.9%
Other Punctuation 20
 
1.4%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 69
 
8.1%
동 67
 
7.9%
구 63
 
7.4%
진 56
 
6.6%
서 55
 
6.5%
로 55
 
6.5%
울 55
 
6.5%
별 55
 
6.5%
특 55
 
6.5%
시 55
 
6.5%
Other values (47) 265
31.2%
Decimal Number
ValueCountFrequency (%)
1 36
18.5%
6 31
15.9%
2 27
13.8%
3 22
11.3%
4 21
10.8%
5 16
8.2%
0 16
8.2%
7 12
 
6.2%
8 7
 
3.6%
9 7
 
3.6%
Space Separator
ValueCountFrequency (%)
244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 850
59.6%
Common 576
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 69
 
8.1%
동 67
 
7.9%
구 63
 
7.4%
진 56
 
6.6%
서 55
 
6.5%
로 55
 
6.5%
울 55
 
6.5%
별 55
 
6.5%
특 55
 
6.5%
시 55
 
6.5%
Other values (47) 265
31.2%
Common
ValueCountFrequency (%)
244
42.4%
) 55
 
9.5%
( 55
 
9.5%
1 36
 
6.2%
6 31
 
5.4%
2 27
 
4.7%
3 22
 
3.8%
4 21
 
3.6%
, 20
 
3.5%
5 16
 
2.8%
Other values (5) 49
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 850
59.6%
ASCII 576
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
42.4%
) 55
 
9.5%
( 55
 
9.5%
1 36
 
6.2%
6 31
 
5.4%
2 27
 
4.7%
3 22
 
3.8%
4 21
 
3.6%
, 20
 
3.5%
5 16
 
2.8%
Other values (5) 49
 
8.5%
Hangul
ValueCountFrequency (%)
광 69
 
8.1%
동 67
 
7.9%
구 63
 
7.4%
진 56
 
6.6%
서 55
 
6.5%
로 55
 
6.5%
울 55
 
6.5%
별 55
 
6.5%
특 55
 
6.5%
시 55
 
6.5%
Other values (47) 265
31.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)70.9%
Missing23
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean5025.4545
Minimum4908
Maximum5118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-11T04:17:06.142839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4908
5-th percentile4910.4
Q14979.5
median5046
Q35074
95-th percentile5100.6
Maximum5118
Range210
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation62.389404
Coefficient of variation (CV)0.012414679
Kurtosis-0.98643902
Mean5025.4545
Median Absolute Deviation (MAD)53
Skewness-0.42750792
Sum276400
Variance3892.4377
MonotonicityNot monotonic
2024-05-11T04:17:06.569726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5100 4
 
5.1%
5055 3
 
3.8%
5065 3
 
3.8%
5074 2
 
2.6%
4908 2
 
2.6%
5096 2
 
2.6%
5003 2
 
2.6%
5102 2
 
2.6%
5099 2
 
2.6%
5063 2
 
2.6%
Other values (29) 31
39.7%
(Missing) 23
29.5%
ValueCountFrequency (%)
4908 2
2.6%
4909 1
1.3%
4911 1
1.3%
4915 1
1.3%
4928 1
1.3%
4931 1
1.3%
4944 1
1.3%
4954 1
1.3%
4969 1
1.3%
4974 1
1.3%
ValueCountFrequency (%)
5118 1
 
1.3%
5102 2
2.6%
5100 4
5.1%
5099 2
2.6%
5096 2
2.6%
5085 1
 
1.3%
5081 1
 
1.3%
5074 2
2.6%
5070 1
 
1.3%
5065 3
3.8%

사업장명
Text

Distinct64
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-05-11T04:17:07.260240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.2692308
Min length5

Characters and Unicode

Total characters567
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

Unique54 ?
Unique (%)69.2%

Sample

1st row성동가축병원
2nd row가람동물병원
3rd row펫프라자동물병원
4th row수동물병원
5th row진영동물병원
ValueCountFrequency (%)
동물병원 7
 
8.0%
혜민동물병원 3
 
3.4%
우대종합동물병원 3
 
3.4%
팻클럽동물병원 3
 
3.4%
우리동물병원 3
 
3.4%
광진동물의료센터 2
 
2.3%
해맑은동물병원 2
 
2.3%
쿨펫동물병원 2
 
2.3%
반디동물병원 2
 
2.3%
자양동물병원 2
 
2.3%
Other values (58) 59
67.0%
2024-05-11T04:17:08.189353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 78
 
13.8%
물 76
 
13.4%
원 75
 
13.2%
병 73
 
12.9%
합 10
 
1.8%
종 10
 
1.8%
10
 
1.8%
우 7
 
1.2%
대 7
 
1.2%
민 5
 
0.9%
Other values (118) 216
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
97.4%
Space Separator 10
 
1.8%
Lowercase Letter 2
 
0.4%
Decimal Number 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 78
 
14.1%
물 76
 
13.8%
원 75
 
13.6%
병 73
 
13.2%
합 10
 
1.8%
종 10
 
1.8%
우 7
 
1.3%
대 7
 
1.3%
민 5
 
0.9%
센 5
 
0.9%
Other values (112) 206
37.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
t 1
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
97.4%
Common 12
 
2.1%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 78
 
14.1%
물 76
 
13.8%
원 75
 
13.6%
병 73
 
13.2%
합 10
 
1.8%
종 10
 
1.8%
우 7
 
1.3%
대 7
 
1.3%
민 5
 
0.9%
센 5
 
0.9%
Other values (112) 206
37.3%
Common
ValueCountFrequency (%)
10
83.3%
4 1
 
8.3%
2 1
 
8.3%
Latin
ValueCountFrequency (%)
e 1
33.3%
P 1
33.3%
t 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
97.4%
ASCII 15
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 78
 
14.1%
물 76
 
13.8%
원 75
 
13.6%
병 73
 
13.2%
합 10
 
1.8%
종 10
 
1.8%
우 7
 
1.3%
대 7
 
1.3%
민 5
 
0.9%
센 5
 
0.9%
Other values (112) 206
37.3%
ASCII
ValueCountFrequency (%)
10
66.7%
e 1
 
6.7%
4 1
 
6.7%
2 1
 
6.7%
P 1
 
6.7%
t 1
 
6.7%

최종수정일자
Date

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2004-03-03 09:41:34
Maximum2024-05-09 12:01:14
2024-05-11T04:17:08.590091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:17:09.015742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
U
42 
I
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 42
53.8%
I 36
46.2%

Length

2024-05-11T04:17:09.301749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:09.481701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 42
53.8%
i 36
46.2%

데이터갱신일자
Date

Distinct28
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:17:09.667317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:17:09.962272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)79.1%
Missing11
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean207096.95
Minimum205390.46
Maximum209336.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-11T04:17:10.371391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205390.46
5-th percentile205936.88
Q1206425.86
median207085.02
Q3207575.57
95-th percentile208640
Maximum209336.36
Range3945.8982
Interquartile range (IQR)1149.7106

Descriptive statistics

Standard deviation860.58283
Coefficient of variation (CV)0.0041554586
Kurtosis0.18224552
Mean207096.95
Median Absolute Deviation (MAD)610.45741
Skewness0.35961945
Sum13875496
Variance740602.8
MonotonicityNot monotonic
2024-05-11T04:17:10.824754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205969.966011569 3
 
3.8%
207526.590151138 3
 
3.8%
206349.675048285 2
 
2.6%
207349.510653919 2
 
2.6%
205390.463339147 2
 
2.6%
207085.023308887 2
 
2.6%
206218.599101694 2
 
2.6%
206445.881091692 2
 
2.6%
206789.420749807 2
 
2.6%
207020.941426428 2
 
2.6%
Other values (43) 45
57.7%
(Missing) 11
 
14.1%
ValueCountFrequency (%)
205390.463339147 2
2.6%
205770.381275106 1
 
1.3%
205932.977481779 1
 
1.3%
205945.98820137 2
2.6%
205969.966011569 3
3.8%
206135.609362634 1
 
1.3%
206150.655471501 1
 
1.3%
206190.256185653 1
 
1.3%
206218.599101694 2
2.6%
206349.675048285 2
2.6%
ValueCountFrequency (%)
209336.361512026 1
1.3%
209301.892401996 1
1.3%
208738.952014366 1
1.3%
208729.170395929 1
1.3%
208431.92764385 1
1.3%
208403.746065593 1
1.3%
208344.912915338 1
1.3%
208060.467769154 1
1.3%
207913.400006663 2
2.6%
207903.068321627 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)79.1%
Missing11
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean448930.05
Minimum447707.43
Maximum451521.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-11T04:17:11.245044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447707.43
5-th percentile447715.52
Q1448106.23
median448842.23
Q3449589.04
95-th percentile451102.43
Maximum451521.82
Range3814.3899
Interquartile range (IQR)1482.8043

Descriptive statistics

Standard deviation1067.0853
Coefficient of variation (CV)0.0023769522
Kurtosis-0.21424766
Mean448930.05
Median Absolute Deviation (MAD)749.32296
Skewness0.8096576
Sum30078313
Variance1138671
MonotonicityNot monotonic
2024-05-11T04:17:11.770563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448175.917404606 3
 
3.8%
449223.749584778 3
 
3.8%
448396.939704285 2
 
2.6%
447708.939689927 2
 
2.6%
448294.665199062 2
 
2.6%
448135.745665937 2
 
2.6%
449808.490100535 2
 
2.6%
448922.881688102 2
 
2.6%
447840.362082756 2
 
2.6%
447715.520541118 2
 
2.6%
Other values (43) 45
57.7%
(Missing) 11
 
14.1%
ValueCountFrequency (%)
447707.434336975 1
1.3%
447708.939689927 2
2.6%
447715.520541118 2
2.6%
447718.681515245 1
1.3%
447730.416384887 1
1.3%
447758.903010754 1
1.3%
447806.898720865 1
1.3%
447840.362082756 2
2.6%
447862.351973505 2
2.6%
447934.708019366 1
1.3%
ValueCountFrequency (%)
451521.824189635 1
1.3%
451464.267096677 1
1.3%
451311.662974486 1
1.3%
451166.351150671 1
1.3%
450953.281007512 1
1.3%
450809.028344187 1
1.3%
450786.420735596 1
1.3%
450344.799584363 1
1.3%
450257.044484869 1
1.3%
450105.913833549 1
1.3%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
동물병원
54 
<NA>
24 

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 54
69.2%
<NA> 24
30.8%

Length

2024-05-11T04:17:12.208424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:12.521897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 54
69.2%
na 24
30.8%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
54 
<NA>
24 

Length

Max length4
Median length1
Mean length1.9230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
69.2%
<NA> 24
30.8%

Length

2024-05-11T04:17:13.028671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:13.415893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
69.2%
na 24
30.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
<NA>
76 
0
 
2

Length

Max length4
Median length4
Mean length3.9230769
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> 76
97.4%
0 2
 
2.6%

Length

2024-05-11T04:17:13.950300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:14.469388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
97.4%
0 2
 
2.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0304000030400000101995000119950301<NA>2휴업1휴업<NA>2009042020100420<NA>446-998459.4<NA>서울특별시 광진구 구의동 233-27번지<NA><NA>성동가축병원2009-04-17 18:06:35I2018-08-31 23:59:59.0<NA>207699.937945449164.75888동물병원<NA><NA>0<NA>
1304000030400000101995000219950301<NA>3폐업2폐업20080630<NA><NA><NA>464-274840.0<NA>서울특별시 광진구 자양동 236-127번지<NA><NA>가람동물병원2008-12-22 10:41:58I2018-08-31 23:59:59.0<NA>205390.463339448294.665199동물병원<NA><NA>0<NA>
2304000030400000101995000319950622<NA>3폐업2폐업20140409<NA><NA><NA>457-023136.3<NA>서울특별시 광진구 자양동 616-38번지서울특별시 광진구 뚝섬로 619 (자양동)5063펫프라자동물병원2014-04-09 17:26:52I2018-08-31 23:59:59.0<NA>206875.368331447806.898721동물병원<NA><NA>0<NA>
3304000030400000101996000120070411<NA>3폐업2폐업20190510<NA><NA><NA>3409-464079.2<NA>서울특별시 광진구 군자동 355-10번지서울특별시 광진구 광나루로 341 (군자동)5003수동물병원2019-05-09 13:46:55U2019-05-11 02:40:00.0<NA>205932.977482449586.519434동물병원<NA><NA>0<NA>
4304000030400000101996000219960625<NA>3폐업2폐업20020522<NA><NA><NA><NA>26.4<NA>서울특별시 광진구 중곡동 198-1 번지<NA><NA>진영동물병원2004-03-03 14:28:08I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
5304000030400000101997000119970930<NA>3폐업2폐업20060404<NA><NA><NA>454-088242.08<NA>서울특별시 광진구 구의동 74-10번지<NA><NA>예일동물병원2006-04-04 14:00:25I2018-08-31 23:59:59.0<NA>207913.400007449742.390295동물병원<NA><NA>0<NA>
6304000030400000101997000219971127<NA>1영업/정상0정상<NA><NA><NA><NA>457-029240.88<NA>서울특별시 광진구 구의동 659번지 세림리오빌아파트 제비1-1호서울특별시 광진구 아차산로 451 (구의동)5046프라임동물병원2019-03-06 16:19:08U2019-03-08 02:40:00.0<NA>208060.467769448564.992529동물병원<NA><NA>0<NA>
7304000030400000101998000119981103<NA>3폐업2폐업20040302<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 군자동 363-4 번지<NA><NA>우대종합동물병원2004-03-03 09:41:34I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
8304000030400000101999000119991018<NA>3폐업2폐업20030926<NA><NA><NA><NA>125.4<NA>서울특별시 광진구 구의동 68-37번지<NA><NA>광진종합동물병원2004-03-03 14:06:47I2018-08-31 23:59:59.0<NA>207526.590151449223.749585동물병원<NA><NA>0<NA>
9304000030400000101999000219990122<NA>1영업/정상0정상<NA><NA><NA><NA>444-7533127.0<NA>서울특별시 광진구 광장동 517-5번지 삼익아파트서울특별시 광진구 아차산로 493 (광장동)4984동서울동물병원2019-03-06 15:24:59U2019-03-08 02:40:00.0<NA>208431.927644448842.232618동물병원<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
68304000030400000102017000220170328<NA>1영업/정상0정상<NA><NA><NA><NA>02-2024-125355.16<NA><NA>서울특별시 광진구 아차산로 272 (자양동, 이마트 자양점)5065쿨펫동물병원2022-12-01 14:45:40U2021-11-02 00:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
69304000030400000102017000320170731<NA>3폐업2폐업20220516<NA><NA><NA>02461007944.45<NA><NA>서울특별시 광진구 능동로 18, 125호 (자양동, 이튼타워리버3차)5096반디동물병원2022-05-26 14:14:44U2021-12-04 22:08:00.0<NA>205945.988201447862.351974<NA><NA><NA><NA><NA>
70304000030400000102017000420170925<NA>1영업/정상0정상<NA><NA><NA><NA>02455097565.0<NA><NA>서울특별시 광진구 광나루로 524 (구의동)5031연두동물병원2022-05-03 14:22:54U2021-12-05 00:05:00.0<NA>207679.128954449166.073717<NA><NA><NA><NA><NA>
71304000030400000102017000520171019<NA>3폐업2폐업20210318<NA><NA><NA>02-457-02310.0<NA><NA>서울특별시 광진구 뚝섬로 636 (자양동)5100우리동물병원2021-03-29 16:30:35U2021-03-31 02:40:00.0<NA>207013.68757447707.434337동물병원<NA><NA>0<NA>
72304000030400000102017000620171208<NA>1영업/정상0정상<NA><NA><NA><NA>02-446-8175189.0<NA>서울특별시 광진구 구의동 611 구의현대2단지아파트서울특별시 광진구 광나루로56길 66, 201, 202호 (구의동)5118광진24시필동물병원2022-12-16 10:13:14U2021-11-01 23:08:00.0<NA>208403.746066448490.23918<NA><NA><NA><NA><NA>
73304000030400000102018000120180418<NA>1영업/정상0정상<NA><NA><NA><NA>02-464-758282.0<NA>서울특별시 광진구 중곡동 162-8서울특별시 광진구 능동로43길 3-5 (중곡동)4915스마트동물병원군자점2022-12-01 14:45:50U2021-11-02 00:03:00.0<NA>207107.928644450953.281008<NA><NA><NA><NA><NA>
7430400003040000010201900012019-03-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-455-5975140.0<NA>서울특별시 광진구 자양동 657-5 화성빌딩 1층서울특별시 광진구 자양로 65, 화성빌딩 1층 (자양동)5056아이본 동물병원2024-05-07 09:00:28U2023-12-05 00:09:00.0<NA>207386.983041447934.708019<NA><NA><NA><NA><NA>
7530400003040000010202100012021-04-27<NA>1영업/정상0정상<NA><NA><NA><NA>02-2039-9930101.56<NA>서울특별시 광진구 자양동 612-56서울특별시 광진구 자양로15길 30, 1층 (자양동)5055우주동물병원2023-11-15 17:44:42U2022-10-31 23:07:00.0<NA>207169.000148448162.523899<NA><NA><NA><NA><NA>
7630400003040000010202300012003-09-26<NA>1영업/정상0정상<NA><NA><NA><NA>02-457-4545125.4<NA>서울특별시 광진구 구의동 68-37서울특별시 광진구 광나루로 507 (구의동)4976광진동물의료센터2023-07-20 16:50:55I2022-12-06 22:02:00.0<NA>207526.590151449223.749585<NA><NA><NA><NA><NA>
7730400003040000010202400012024-04-03<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 구의동 254-36 우남빌딩 1층서울특별시 광진구 자양로 163, 우남빌딩 (구의동)5024다봄 동물병원2024-04-19 13:04:18U2023-12-03 22:01:00.0<NA>207334.352374448890.470998<NA><NA><NA><NA><NA>