Overview

Dataset statistics

Number of variables30
Number of observations84
Missing cells778
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.2 KiB
Average record size in memory258.6 B

Variable types

Categorical9
Numeric5
DateTime4
Unsupported8
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16509/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 84 (100.0%) missing valuesMissing
폐업일자 has 36 (42.9%) missing valuesMissing
휴업시작일자 has 84 (100.0%) missing valuesMissing
휴업종료일자 has 84 (100.0%) missing valuesMissing
재개업일자 has 84 (100.0%) missing valuesMissing
전화번호 has 7 (8.3%) missing valuesMissing
소재지면적 has 15 (17.9%) missing valuesMissing
소재지우편번호 has 84 (100.0%) missing valuesMissing
도로명주소 has 9 (10.7%) missing valuesMissing
도로명우편번호 has 25 (29.8%) missing valuesMissing
업태구분명 has 84 (100.0%) missing valuesMissing
좌표정보(X) has 7 (8.3%) missing valuesMissing
좌표정보(Y) has 7 (8.3%) missing valuesMissing
축산물가공업구분명 has 84 (100.0%) missing valuesMissing
축산일련번호 has 84 (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 29 (34.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:11:20.238166
Analysis finished2024-05-11 06:11:20.881588
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
3180000
84 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 84
100.0%

Length

2024-05-11T15:11:21.026203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:21.203818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 84
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.18 × 1017
Minimum3.18 × 1017
Maximum3.18 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T15:11:21.397288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.18 × 1017
5-th percentile3.18 × 1017
Q13.18 × 1017
median3.18 × 1017
Q33.18 × 1017
95-th percentile3.18 × 1017
Maximum3.18 × 1017
Range360000
Interquartile range (IQR)132480

Descriptive statistics

Standard deviation85539.125
Coefficient of variation (CV)2.6899096 × 10-13
Kurtosis-0.32066619
Mean3.18 × 1017
Median Absolute Deviation (MAD)65024
Skewness-0.4849144
Sum8.265256 × 1018
Variance7.316942 × 109
MonotonicityStrictly increasing
2024-05-11T15:11:21.640296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
318000001019880001 1
 
1.2%
318000001020150002 1
 
1.2%
318000001020170002 1
 
1.2%
318000001020170001 1
 
1.2%
318000001020160003 1
 
1.2%
318000001020160002 1
 
1.2%
318000001020160001 1
 
1.2%
318000001020150005 1
 
1.2%
318000001020150004 1
 
1.2%
318000001020150003 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
318000001019880001 1
1.2%
318000001019880002 1
1.2%
318000001019910001 1
1.2%
318000001019930001 1
1.2%
318000001019940001 1
1.2%
318000001019980001 1
1.2%
318000001019990001 1
1.2%
318000001020000001 1
1.2%
318000001020000002 1
1.2%
318000001020010001 1
1.2%
ValueCountFrequency (%)
318000001020240001 1
1.2%
318000001020230003 1
1.2%
318000001020230002 1
1.2%
318000001020230001 1
1.2%
318000001020220002 1
1.2%
318000001020220001 1
1.2%
318000001020210003 1
1.2%
318000001020210002 1
1.2%
318000001020210001 1
1.2%
318000001020200001 1
1.2%

인허가일자
Date

Distinct80
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum1988-11-14 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T15:11:21.931499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:22.153102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
3
48 
1
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 48
57.1%
1 36
42.9%

Length

2024-05-11T15:11:22.333332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:22.458954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
57.1%
1 36
42.9%

영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
폐업
48 
영업/정상
36 

Length

Max length5
Median length2
Mean length3.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
57.1%
영업/정상 36
42.9%

Length

2024-05-11T15:11:22.613559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:22.739685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
57.1%
영업/정상 36
42.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
2
48 
0
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 48
57.1%
0 36
42.9%

Length

2024-05-11T15:11:22.861688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:22.996583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 48
57.1%
0 36
42.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
폐업
48 
정상
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
57.1%
정상 36
42.9%

Length

2024-05-11T15:11:23.129988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:23.313632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
57.1%
정상 36
42.9%

폐업일자
Date

MISSING 

Distinct46
Distinct (%)95.8%
Missing36
Missing (%)42.9%
Memory size804.0 B
Minimum2004-12-16 00:00:00
Maximum2023-08-22 00:00:00
2024-05-11T15:11:23.489921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:23.676484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

전화번호
Text

MISSING 

Distinct63
Distinct (%)81.8%
Missing7
Missing (%)8.3%
Memory size804.0 B
2024-05-11T15:11:24.025460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8831169
Min length8

Characters and Unicode

Total characters761
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

Unique52 ?
Unique (%)67.5%

Sample

1st row845-3368
2nd row833-0309
3rd row2638-0644
4th row831-6817
5th row2633-9991
ValueCountFrequency (%)
02-2676-7582 4
 
5.2%
2633-9991 3
 
3.9%
833-8275 2
 
2.6%
2635-7582 2
 
2.6%
845-0780 2
 
2.6%
02-783-7580 2
 
2.6%
2638-0644 2
 
2.6%
02-2635-2475 2
 
2.6%
02-761-7580 2
 
2.6%
02-2634-8275 2
 
2.6%
Other values (53) 54
70.1%
2024-05-11T15:11:24.568622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 117
15.4%
- 108
14.2%
7 102
13.4%
0 85
11.2%
8 83
10.9%
5 70
9.2%
3 61
8.0%
6 56
7.4%
4 27
 
3.5%
9 26
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 653
85.8%
Dash Punctuation 108
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 117
17.9%
7 102
15.6%
0 85
13.0%
8 83
12.7%
5 70
10.7%
3 61
9.3%
6 56
8.6%
4 27
 
4.1%
9 26
 
4.0%
1 26
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 117
15.4%
- 108
14.2%
7 102
13.4%
0 85
11.2%
8 83
10.9%
5 70
9.2%
3 61
8.0%
6 56
7.4%
4 27
 
3.5%
9 26
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 117
15.4%
- 108
14.2%
7 102
13.4%
0 85
11.2%
8 83
10.9%
5 70
9.2%
3 61
8.0%
6 56
7.4%
4 27
 
3.5%
9 26
 
3.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)56.5%
Missing15
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean45.372754
Minimum0
Maximum462.44
Zeros29
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T15:11:24.826889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30.71
Q368.87
95-th percentile136.204
Maximum462.44
Range462.44
Interquartile range (IQR)68.87

Descriptive statistics

Standard deviation67.742121
Coefficient of variation (CV)1.4930132
Kurtosis20.803905
Mean45.372754
Median Absolute Deviation (MAD)30.71
Skewness3.7856003
Sum3130.72
Variance4588.995
MonotonicityNot monotonic
2024-05-11T15:11:25.085250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 29
34.5%
49.5 2
 
2.4%
33.0 2
 
2.4%
79.42 1
 
1.2%
68.0 1
 
1.2%
67.48 1
 
1.2%
44.55 1
 
1.2%
48.0 1
 
1.2%
93.39 1
 
1.2%
99.0 1
 
1.2%
Other values (29) 29
34.5%
(Missing) 15
17.9%
ValueCountFrequency (%)
0.0 29
34.5%
26.4 1
 
1.2%
27.45 1
 
1.2%
27.6 1
 
1.2%
28.2 1
 
1.2%
29.16 1
 
1.2%
30.71 1
 
1.2%
32.3 1
 
1.2%
33.0 2
 
2.4%
36.05 1
 
1.2%
ValueCountFrequency (%)
462.44 1
1.2%
207.6 1
1.2%
153.0 1
1.2%
148.0 1
1.2%
118.51 1
1.2%
100.0 1
1.2%
99.0 1
1.2%
95.87 1
1.2%
93.39 1
1.2%
84.0 1
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

지번주소
Text

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-05-11T15:11:25.542347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length27.547619
Min length18

Characters and Unicode

Total characters2314
Distinct characters123
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)88.1%

Sample

1st row서울특별시 영등포구 신길동 4662번지
2nd row서울특별시 영등포구 신길동 628
3rd row서울특별시 영등포구 대림동 700-1번지
4th row서울특별시 영등포구 신길동 1613번지
5th row서울특별시 영등포구 당산동1가 348번지
ValueCountFrequency (%)
서울특별시 84
20.0%
영등포구 84
20.0%
신길동 19
 
4.5%
대림동 11
 
2.6%
여의도동 11
 
2.6%
1층 9
 
2.1%
문래동3가 7
 
1.7%
영등포동8가 6
 
1.4%
번지 6
 
1.4%
4층 5
 
1.2%
Other values (139) 177
42.2%
2024-05-11T15:11:26.215924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
 
17.4%
영 101
 
4.4%
포 100
 
4.3%
등 99
 
4.3%
1 94
 
4.1%
동 88
 
3.8%
서 84
 
3.6%
울 84
 
3.6%
구 84
 
3.6%
시 84
 
3.6%
Other values (113) 1093
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1431
61.8%
Decimal Number 408
 
17.6%
Space Separator 403
 
17.4%
Dash Punctuation 60
 
2.6%
Uppercase Letter 7
 
0.3%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 101
 
7.1%
포 100
 
7.0%
등 99
 
6.9%
동 88
 
6.1%
서 84
 
5.9%
울 84
 
5.9%
구 84
 
5.9%
시 84
 
5.9%
별 84
 
5.9%
특 84
 
5.9%
Other values (92) 539
37.7%
Decimal Number
ValueCountFrequency (%)
1 94
23.0%
2 61
15.0%
4 55
13.5%
3 47
11.5%
5 31
 
7.6%
7 27
 
6.6%
0 25
 
6.1%
9 24
 
5.9%
6 24
 
5.9%
8 20
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 2
28.6%
L 1
14.3%
G 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1431
61.8%
Common 875
37.8%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 101
 
7.1%
포 100
 
7.0%
등 99
 
6.9%
동 88
 
6.1%
서 84
 
5.9%
울 84
 
5.9%
구 84
 
5.9%
시 84
 
5.9%
별 84
 
5.9%
특 84
 
5.9%
Other values (92) 539
37.7%
Common
ValueCountFrequency (%)
403
46.1%
1 94
 
10.7%
2 61
 
7.0%
- 60
 
6.9%
4 55
 
6.3%
3 47
 
5.4%
5 31
 
3.5%
7 27
 
3.1%
0 25
 
2.9%
9 24
 
2.7%
Other values (5) 48
 
5.5%
Latin
ValueCountFrequency (%)
B 2
25.0%
A 2
25.0%
e 1
12.5%
L 1
12.5%
G 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1431
61.8%
ASCII 883
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
45.6%
1 94
 
10.6%
2 61
 
6.9%
- 60
 
6.8%
4 55
 
6.2%
3 47
 
5.3%
5 31
 
3.5%
7 27
 
3.1%
0 25
 
2.8%
9 24
 
2.7%
Other values (11) 56
 
6.3%
Hangul
ValueCountFrequency (%)
영 101
 
7.1%
포 100
 
7.0%
등 99
 
6.9%
동 88
 
6.1%
서 84
 
5.9%
울 84
 
5.9%
구 84
 
5.9%
시 84
 
5.9%
별 84
 
5.9%
특 84
 
5.9%
Other values (92) 539
37.7%

도로명주소
Text

MISSING 

Distinct71
Distinct (%)94.7%
Missing9
Missing (%)10.7%
Memory size804.0 B
2024-05-11T15:11:26.692049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length43
Mean length34.253333
Min length23

Characters and Unicode

Total characters2569
Distinct characters139
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)89.3%

Sample

1st row서울특별시 영등포구 신길로 42 (신길동)
2nd row서울특별시 영등포구 여의대방로35길 1(신길동)
3rd row서울특별시 영등포구 대림로 154 (대림동)
4th row서울특별시 영등포구 여의대방로39길 33-2 (신길동)
5th row서울특별시 영등포구 당산로 96 (당산동1가)
ValueCountFrequency (%)
서울특별시 75
 
15.6%
영등포구 75
 
15.6%
신길동 17
 
3.5%
1층 15
 
3.1%
여의도동 10
 
2.1%
대림동 9
 
1.9%
선유로 6
 
1.2%
여의대방로 6
 
1.2%
영중로 6
 
1.2%
당산로 5
 
1.0%
Other values (172) 256
53.3%
2024-05-11T15:11:27.451321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
15.8%
1 113
 
4.4%
영 107
 
4.2%
포 96
 
3.7%
등 95
 
3.7%
동 86
 
3.3%
시 80
 
3.1%
, 78
 
3.0%
로 77
 
3.0%
서 76
 
3.0%
Other values (129) 1356
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1540
59.9%
Space Separator 405
 
15.8%
Decimal Number 379
 
14.8%
Other Punctuation 78
 
3.0%
Open Punctuation 75
 
2.9%
Close Punctuation 75
 
2.9%
Dash Punctuation 10
 
0.4%
Uppercase Letter 6
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 107
 
6.9%
포 96
 
6.2%
등 95
 
6.2%
동 86
 
5.6%
시 80
 
5.2%
로 77
 
5.0%
서 76
 
4.9%
별 75
 
4.9%
구 75
 
4.9%
울 75
 
4.9%
Other values (110) 698
45.3%
Decimal Number
ValueCountFrequency (%)
1 113
29.8%
2 52
13.7%
4 44
 
11.6%
0 33
 
8.7%
3 29
 
7.7%
5 29
 
7.7%
6 24
 
6.3%
8 23
 
6.1%
7 20
 
5.3%
9 12
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 2
33.3%
C 1
 
16.7%
Space Separator
ValueCountFrequency (%)
405
100.0%
Other Punctuation
ValueCountFrequency (%)
, 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1540
59.9%
Common 1022
39.8%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 107
 
6.9%
포 96
 
6.2%
등 95
 
6.2%
동 86
 
5.6%
시 80
 
5.2%
로 77
 
5.0%
서 76
 
4.9%
별 75
 
4.9%
구 75
 
4.9%
울 75
 
4.9%
Other values (110) 698
45.3%
Common
ValueCountFrequency (%)
405
39.6%
1 113
 
11.1%
, 78
 
7.6%
( 75
 
7.3%
) 75
 
7.3%
2 52
 
5.1%
4 44
 
4.3%
0 33
 
3.2%
3 29
 
2.8%
5 29
 
2.8%
Other values (5) 89
 
8.7%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 2
28.6%
e 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1540
59.9%
ASCII 1029
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
39.4%
1 113
 
11.0%
, 78
 
7.6%
( 75
 
7.3%
) 75
 
7.3%
2 52
 
5.1%
4 44
 
4.3%
0 33
 
3.2%
3 29
 
2.8%
5 29
 
2.8%
Other values (9) 96
 
9.3%
Hangul
ValueCountFrequency (%)
영 107
 
6.9%
포 96
 
6.2%
등 95
 
6.2%
동 86
 
5.6%
시 80
 
5.2%
로 77
 
5.0%
서 76
 
4.9%
별 75
 
4.9%
구 75
 
4.9%
울 75
 
4.9%
Other values (110) 698
45.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)67.8%
Missing25
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean7315.9661
Minimum7204
Maximum7442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T15:11:27.682959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7204
5-th percentile7214
Q17255
median7324
Q37367.5
95-th percentile7436.1
Maximum7442
Range238
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation70.532449
Coefficient of variation (CV)0.0096408934
Kurtosis-1.0960702
Mean7315.9661
Median Absolute Deviation (MAD)62
Skewness0.049912702
Sum431642
Variance4974.8264
MonotonicityNot monotonic
2024-05-11T15:11:27.912223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7340 5
 
6.0%
7343 4
 
4.8%
7228 4
 
4.8%
7214 3
 
3.6%
7262 3
 
3.6%
7436 2
 
2.4%
7352 2
 
2.4%
7382 2
 
2.4%
7305 2
 
2.4%
7255 2
 
2.4%
Other values (30) 30
35.7%
(Missing) 25
29.8%
ValueCountFrequency (%)
7204 1
 
1.2%
7206 1
 
1.2%
7214 3
3.6%
7220 1
 
1.2%
7222 1
 
1.2%
7227 1
 
1.2%
7228 4
4.8%
7245 1
 
1.2%
7246 1
 
1.2%
7255 2
2.4%
ValueCountFrequency (%)
7442 1
1.2%
7440 1
1.2%
7437 1
1.2%
7436 2
2.4%
7411 1
1.2%
7400 1
1.2%
7395 1
1.2%
7392 1
1.2%
7391 1
1.2%
7390 1
1.2%

사업장명
Text

Distinct73
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-05-11T15:11:28.307128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.8214286
Min length6

Characters and Unicode

Total characters657
Distinct characters136
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)76.2%

Sample

1st row대림동물병원
2nd row대방동물병원
3rd row와우동물병원
4th row인성동물병원
5th row영등포동물병원
ValueCountFrequency (%)
동물병원 14
 
13.1%
영등포동물병원 3
 
2.8%
여의도동물병원대교점 3
 
2.8%
아프리카동물병원 2
 
1.9%
24시 2
 
1.9%
미소로동물병원 2
 
1.9%
수 2
 
1.9%
이든동물의료센터 2
 
1.9%
초이동물병원 2
 
1.9%
사랑동물병원 2
 
1.9%
Other values (71) 73
68.2%
2024-05-11T15:11:28.973297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 83
 
12.6%
물 83
 
12.6%
병 75
 
11.4%
원 75
 
11.4%
23
 
3.5%
의 14
 
2.1%
도 12
 
1.8%
센 9
 
1.4%
터 9
 
1.4%
여 8
 
1.2%
Other values (126) 266
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
93.0%
Space Separator 23
 
3.5%
Uppercase Letter 7
 
1.1%
Decimal Number 6
 
0.9%
Lowercase Letter 5
 
0.8%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 83
 
13.6%
물 83
 
13.6%
병 75
 
12.3%
원 75
 
12.3%
의 14
 
2.3%
도 12
 
2.0%
센 9
 
1.5%
터 9
 
1.5%
여 8
 
1.3%
점 7
 
1.1%
Other values (110) 236
38.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
28.6%
D 2
28.6%
C 1
14.3%
S 1
14.3%
V 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
r 2
40.0%
t 1
20.0%
e 1
20.0%
p 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 3
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
93.0%
Common 34
 
5.2%
Latin 12
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 83
 
13.6%
물 83
 
13.6%
병 75
 
12.3%
원 75
 
12.3%
의 14
 
2.3%
도 12
 
2.0%
센 9
 
1.5%
터 9
 
1.5%
여 8
 
1.3%
점 7
 
1.1%
Other values (110) 236
38.6%
Latin
ValueCountFrequency (%)
I 2
16.7%
D 2
16.7%
r 2
16.7%
t 1
8.3%
e 1
8.3%
C 1
8.3%
p 1
8.3%
S 1
8.3%
V 1
8.3%
Common
ValueCountFrequency (%)
23
67.6%
2 3
 
8.8%
4 3
 
8.8%
. 2
 
5.9%
- 1
 
2.9%
) 1
 
2.9%
( 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 611
93.0%
ASCII 46
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 83
 
13.6%
물 83
 
13.6%
병 75
 
12.3%
원 75
 
12.3%
의 14
 
2.3%
도 12
 
2.0%
센 9
 
1.5%
터 9
 
1.5%
여 8
 
1.3%
점 7
 
1.1%
Other values (110) 236
38.6%
ASCII
ValueCountFrequency (%)
23
50.0%
2 3
 
6.5%
4 3
 
6.5%
I 2
 
4.3%
. 2
 
4.3%
D 2
 
4.3%
r 2
 
4.3%
t 1
 
2.2%
e 1
 
2.2%
C 1
 
2.2%
Other values (6) 6
 
13.0%

최종수정일자
Date

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2004-12-16 18:06:15
Maximum2024-03-22 09:49:24
2024-05-11T15:11:29.561231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:29.768469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
I
54 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 54
64.3%
U 30
35.7%

Length

2024-05-11T15:11:29.975081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:30.140762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 54
64.3%
u 30
35.7%

데이터갱신일자
Date

Distinct33
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:04:00
2024-05-11T15:11:30.315281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:30.526560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)77.9%
Missing7
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean191725.9
Minimum189734.54
Maximum194124.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T15:11:30.724118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189734.54
5-th percentile190239.86
Q1190830.12
median191537
Q3192153.62
95-th percentile194070.24
Maximum194124.5
Range4389.9534
Interquartile range (IQR)1323.5019

Descriptive statistics

Standard deviation1183.2816
Coefficient of variation (CV)0.0061717357
Kurtosis-0.26125266
Mean191725.9
Median Absolute Deviation (MAD)706.88398
Skewness0.73779558
Sum14762894
Variance1400155.3
MonotonicityNot monotonic
2024-05-11T15:11:30.939545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194124.497455922 4
 
4.8%
194056.681860495 3
 
3.6%
191682.548695687 3
 
3.6%
190309.663767451 3
 
3.6%
190729.506453391 2
 
2.4%
190364.652010662 2
 
2.4%
191463.486635133 2
 
2.4%
191385.057392247 2
 
2.4%
191537.003577809 2
 
2.4%
190830.119599 2
 
2.4%
Other values (50) 52
61.9%
(Missing) 7
 
8.3%
ValueCountFrequency (%)
189734.544016734 1
 
1.2%
190114.183690988 1
 
1.2%
190148.374147923 1
 
1.2%
190199.2294276 1
 
1.2%
190250.021827622 1
 
1.2%
190282.16079832 1
 
1.2%
190309.663767451 3
3.6%
190364.652010662 2
2.4%
190394.571819262 1
 
1.2%
190691.328339211 1
 
1.2%
ValueCountFrequency (%)
194124.497455922 4
4.8%
194056.681860495 3
3.6%
194015.180457719 1
 
1.2%
193999.840415079 1
 
1.2%
193963.563089797 1
 
1.2%
193393.096553574 1
 
1.2%
193035.050300407 1
 
1.2%
192955.313671889 1
 
1.2%
192894.206995438 1
 
1.2%
192844.105439729 1
 
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)77.9%
Missing7
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean445938.77
Minimum443081.86
Maximum448656.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T15:11:31.189152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443081.86
5-th percentile443402.84
Q1444844.76
median446256.21
Q3446905.04
95-th percentile447823.99
Maximum448656.73
Range5574.8707
Interquartile range (IQR)2060.2739

Descriptive statistics

Standard deviation1406.0313
Coefficient of variation (CV)0.0031529694
Kurtosis-0.62172177
Mean445938.77
Median Absolute Deviation (MAD)902.73303
Skewness-0.44485102
Sum34337285
Variance1976924
MonotonicityNot monotonic
2024-05-11T15:11:31.403762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446541.624341878 4
 
4.8%
446279.083804498 3
 
3.6%
443081.856333568 3
 
3.6%
446683.974500419 3
 
3.6%
446227.07504062 2
 
2.4%
447158.946262059 2
 
2.4%
447373.174522815 2
 
2.4%
446098.555926507 2
 
2.4%
447765.030228458 2
 
2.4%
447086.475316 2
 
2.4%
Other values (50) 52
61.9%
(Missing) 7
 
8.3%
ValueCountFrequency (%)
443081.856333568 3
3.6%
443102.285449302 1
 
1.2%
443477.984573011 1
 
1.2%
443573.076394899 1
 
1.2%
443626.294389029 1
 
1.2%
443678.50304124 1
 
1.2%
443811.931347734 1
 
1.2%
444029.182337058 1
 
1.2%
444053.006856572 1
 
1.2%
444069.524152685 1
 
1.2%
ValueCountFrequency (%)
448656.726986041 1
1.2%
448322.935192248 1
1.2%
448289.617887109 1
1.2%
447892.078672003 1
1.2%
447806.965762568 1
1.2%
447765.030228458 2
2.4%
447472.600953239 2
2.4%
447373.174522815 2
2.4%
447295.214623263 1
1.2%
447289.548355449 2
2.4%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
동물병원
65 
<NA>
19 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 65
77.4%
<NA> 19
 
22.6%

Length

2024-05-11T15:11:31.602953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:31.755837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 65
77.4%
na 19
 
22.6%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
000
64 
<NA>
19 
L00
 
1

Length

Max length4
Median length3
Mean length3.2261905
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
000 64
76.2%
<NA> 19
 
22.6%
L00 1
 
1.2%

Length

2024-05-11T15:11:31.921407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:32.077495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 64
76.2%
na 19
 
22.6%
l00 1
 
1.2%

총인원
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
0
65 
<NA>
19 

Length

Max length4
Median length1
Mean length1.6785714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 65
77.4%
<NA> 19
 
22.6%

Length

2024-05-11T15:11:32.228984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:32.362150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 65
77.4%
na 19
 
22.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0318000031800000101988000119881114<NA>3폐업2폐업20161121<NA><NA><NA>845-336866.43<NA>서울특별시 영등포구 신길동 4662번지서울특별시 영등포구 신길로 42 (신길동)7436대림동물병원2016-11-21 09:22:07I2018-08-31 23:59:59.0<NA>191850.114051443811.931348동물병원<NA><NA>0000
1318000031800000101988000219881114<NA>1영업/정상0정상<NA><NA><NA><NA>833-030949.5<NA>서울특별시 영등포구 신길동 628서울특별시 영등포구 여의대방로35길 1(신길동)7392대방동물병원2022-08-08 10:28:38U2021-12-07 23:00:00.0<NA>192894.206995444360.944084<NA><NA><NA><NA><NA>
2318000031800000101991000119911119<NA>3폐업2폐업20041216<NA><NA><NA>2638-064433.0<NA>서울특별시 영등포구 대림동 700-1번지서울특별시 영등포구 대림로 154 (대림동)<NA>와우동물병원2004-12-16 18:06:15I2018-08-31 23:59:59.0<NA>191124.182012443626.294389동물병원<NA><NA>0000
3318000031800000101993000119931105<NA>3폐업2폐업20070410<NA><NA><NA>831-681749.5<NA>서울특별시 영등포구 신길동 1613번지서울특별시 영등포구 여의대방로39길 33-2 (신길동)<NA>인성동물병원2007-04-10 17:10:23I2018-08-31 23:59:59.0<NA>192729.825198444495.246911동물병원<NA><NA>0000
4318000031800000101994000119940426<NA>3폐업2폐업20060830<NA><NA><NA>2633-999133.0<NA>서울특별시 영등포구 당산동1가 348번지서울특별시 영등포구 당산로 96 (당산동1가)<NA>영등포동물병원2006-10-16 10:16:08I2018-08-31 23:59:59.0<NA>190830.119599447086.475316동물병원<NA><NA>0000
5318000031800000101998000119980819<NA>3폐업2폐업20191227<NA><NA><NA>841-834126.4<NA>서울특별시 영등포구 신길동 296-12번지서울특별시 영등포구 도신로 106 (신길동)7382도림동물병원2019-12-27 16:11:27U2019-12-29 02:40:00.0<NA>191429.026016445038.505444동물병원<NA><NA>0000
6318000031800000101999000119990426<NA>3폐업2폐업20050613<NA><NA><NA>2635-758260.0<NA>서울특별시 영등포구 당산동6가 3-12 번지<NA><NA>토론토동물병원2005-06-13 18:12:39I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0000
7318000031800000102000000120000218<NA>1영업/정상0정상<NA><NA><NA><NA>02-835-7572153.0<NA>서울특별시 영등포구 신길동 3611번지서울특별시 영등포구 신길로 70 (신길동)7436신풍동물종합병원2020-04-27 13:14:49U2020-04-29 02:40:00.0<NA>191844.925515444053.006857동물병원<NA><NA>0000
8318000031800000102000000220000519<NA>1영업/정상0정상<NA><NA><NA><NA>841-007540.5<NA>서울특별시 영등포구 신길동 95-39번지서울특별시 영등포구 영등포로76길 1 (신길동)7352참 동물병원2017-03-23 10:02:33I2018-08-31 23:59:59.0<NA>192844.10544445716.610166동물병원<NA><NA>0000
9318000031800000102001000120010504<NA>3폐업2폐업20081110<NA><NA><NA>2638-064473.0<NA>서울특별시 영등포구 영등포동 592-24번지 1층서울특별시 영등포구 영신로 22-2 (영등포동,1층)<NA>강쥐생각동물병원2008-11-10 17:49:48I2018-08-31 23:59:59.0<NA>191871.277482445706.8776동물병원<NA><NA>0000
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
74318000031800000102020000120201016<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 영등포구 양평동4가 281 르네상스 한강 오피스텔서울특별시 영등포구 양평로12가길 14, 르네상스 한강 오피스텔 1층 103호 (양평동4가)7222플러스동물메디컬센터2021-04-14 11:37:42U2021-04-16 02:40:00.0<NA>191060.688283448289.617887동물병원<NA><NA>0000
75318000031800000102021000120210413<NA>1영업/정상0정상<NA><NA><NA><NA>02-832-75050.0<NA>서울특별시 영등포구 신길동 4937 신길뉴타운 한화 꿈에그린서울특별시 영등포구 신길로 119, 112동 비103호,비104호,비105호 (신길동, 신길뉴타운 한화 꿈에그린)7400시그널동물병원2022-06-24 17:37:59U2021-12-05 22:06:00.0<NA>191937.554564444531.729195<NA><NA><NA><NA><NA>
76318000031800000102021000220210630<NA>1영업/정상0정상<NA><NA><NA><NA>02-831-00750.0<NA>서울특별시 영등포구 신길동 324-49 영민빌딩 1층서울특별시 영등포구 가마산로 449-1, 영민빌딩 1층 (신길동)7383다움동물병원2021-06-30 09:02:28I2021-07-02 00:23:01.0<NA>191647.162755444844.764072동물병원<NA><NA>0000
77318000031800000102021000320210713<NA>1영업/정상0정상<NA><NA><NA><NA>028497582<NA><NA>서울특별시 영등포구 도림동 216-2서울특별시 영등포구 도영로 31, 1층 (도림동)7373도림하나동물병원2021-07-13 18:20:35I2021-07-15 00:22:52.0<NA>190789.720924445203.749466동물병원<NA><NA>0000
7831800003180000010202200012022-01-06<NA>3폐업2폐업2023-08-22<NA><NA><NA>02-3667-7780<NA><NA>서울특별시 영등포구 영등포동4가 151-11서울특별시 영등포구 영등포로 184, 1층 (영등포동4가)7301뉴욕동물병원2023-08-23 13:04:16U2022-12-07 22:06:00.0<NA>191244.350109446448.77624<NA><NA><NA><NA><NA>
79318000031800000102022000220220406<NA>1영업/정상0정상<NA><NA><NA><NA>02-2135-7228<NA><NA>서울특별시 영등포구 대림동 1127 e편한세상 영등포 아델포레서울특별시 영등포구 신길로 29, 105동 116호 (대림동, e편한세상 영등포 아델포레)7440동물병원예지2022-04-06 16:43:51I2021-12-04 00:08:00.0<NA>191824.4262443678.503041<NA><NA><NA><NA><NA>
8031800003180000010202300012023-04-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 영등포구 문래동3가 77-45서울특별시 영등포구 선유로 52, 1층 우측호 (문래동3가)7295김앤정동물병원2023-04-24 15:47:29U2022-12-03 22:06:00.0<NA>190148.374148446256.213232<NA><NA><NA><NA><NA>
8131800003180000010202300022023-06-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 362-22서울특별시 영등포구 도신로 86, 1층 (신길동)7382신길S동물의료센터2023-06-28 11:30:28I2022-12-05 21:00:00.0<NA>191259.378434444946.729698<NA><NA><NA><NA><NA>
8231800003180000010202300032023-10-31<NA>1영업/정상0정상<NA><NA><NA><NA>02-784-7588<NA><NA>서울특별시 영등포구 여의도동 41-1 대교B상가 202호서울특별시 영등포구 국제금융로7길 22, 대교B상가 2층 202호 (여의도동)7340헬로우동물병원 여의도점2023-10-31 15:45:17I2022-11-01 00:02:00.0<NA>194015.180458446777.454529<NA><NA><NA><NA><NA>
8331800003180000010202400012024-03-22<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 720 제흥한의원서울특별시 영등포구 가마산로 584, 제흥한의원 1층 (신길동)7391엘림동물병원2024-03-22 09:49:24I2023-12-02 22:04:00.0<NA>192955.313672444637.094834<NA><NA><NA><NA><NA>