Overview

Dataset statistics

Number of variables30
Number of observations72
Missing cells689
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory258.8 B

Variable types

Categorical10
Numeric5
DateTime3
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16493/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (81.7%)Imbalance
인허가취소일자 has 72 (100.0%) missing valuesMissing
폐업일자 has 32 (44.4%) missing valuesMissing
휴업시작일자 has 72 (100.0%) missing valuesMissing
휴업종료일자 has 72 (100.0%) missing valuesMissing
재개업일자 has 72 (100.0%) missing valuesMissing
전화번호 has 3 (4.2%) missing valuesMissing
소재지면적 has 3 (4.2%) missing valuesMissing
소재지우편번호 has 72 (100.0%) missing valuesMissing
도로명주소 has 19 (26.4%) missing valuesMissing
도로명우편번호 has 32 (44.4%) missing valuesMissing
업태구분명 has 72 (100.0%) missing valuesMissing
좌표정보(X) has 12 (16.7%) missing valuesMissing
좌표정보(Y) has 12 (16.7%) missing valuesMissing
축산물가공업구분명 has 72 (100.0%) missing valuesMissing
축산일련번호 has 72 (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 25 (34.7%) zerosZeros

Reproduction

Analysis started2024-04-06 13:47:04.299716
Analysis finished2024-04-06 13:47:04.641502
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
3020000
72 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 72
100.0%

Length

2024-04-06T22:47:04.700512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:04.788444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 72
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02 × 1017
Minimum3.02 × 1017
Maximum3.02 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-06T22:47:04.887955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.02 × 1017
5-th percentile3.02 × 1017
Q13.02 × 1017
median3.02 × 1017
Q33.02 × 1017
95-th percentile3.02 × 1017
Maximum3.02 × 1017
Range480000
Interquartile range (IQR)99968

Descriptive statistics

Standard deviation71918.508
Coefficient of variation (CV)2.3814075 × 10-13
Kurtosis4.3369533
Mean3.02 × 1017
Median Absolute Deviation (MAD)35008
Skewness-0.56471101
Sum3.297256 × 1018
Variance5.1722718 × 109
MonotonicityStrictly increasing
2024-04-06T22:47:05.017148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302000001019760001 1
 
1.4%
302000001020060002 1
 
1.4%
302000001020120002 1
 
1.4%
302000001020120001 1
 
1.4%
302000001020110006 1
 
1.4%
302000001020110005 1
 
1.4%
302000001020110004 1
 
1.4%
302000001020110003 1
 
1.4%
302000001020110002 1
 
1.4%
302000001020110001 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
302000001019760001 1
1.4%
302000001020020001 1
1.4%
302000001020020002 1
1.4%
302000001020020003 1
1.4%
302000001020020004 1
1.4%
302000001020020005 1
1.4%
302000001020020006 1
1.4%
302000001020020007 1
1.4%
302000001020020008 1
1.4%
302000001020020009 1
1.4%
ValueCountFrequency (%)
302000001020240001 1
1.4%
302000001020230002 1
1.4%
302000001020230001 1
1.4%
302000001020210001 1
1.4%
302000001020190001 1
1.4%
302000001020180001 1
1.4%
302000001020170002 1
1.4%
302000001020170001 1
1.4%
302000001020160002 1
1.4%
302000001020160001 1
1.4%

인허가일자
Date

Distinct56
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2002-12-16 00:00:00
Maximum2024-02-26 00:00:00
2024-04-06T22:47:05.132116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:47:05.246440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
3
43 
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 43
59.7%
1 29
40.3%

Length

2024-04-06T22:47:05.360143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:05.443625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 43
59.7%
1 29
40.3%

영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
폐업
43 
영업/정상
29 

Length

Max length5
Median length2
Mean length3.2083333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
59.7%
영업/정상 29
40.3%

Length

2024-04-06T22:47:05.544236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:05.641327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
59.7%
영업/정상 29
40.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2
43 
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 43
59.7%
0 29
40.3%

Length

2024-04-06T22:47:05.737136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:05.834234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
59.7%
0 29
40.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
폐업
43 
정상
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
59.7%
정상 29
40.3%

Length

2024-04-06T22:47:05.928403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:06.017770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
59.7%
정상 29
40.3%

폐업일자
Date

MISSING 

Distinct39
Distinct (%)97.5%
Missing32
Missing (%)44.4%
Memory size708.0 B
Minimum2002-12-16 00:00:00
Maximum2024-03-09 00:00:00
2024-04-06T22:47:06.108274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:47:06.238224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

전화번호
Text

MISSING 

Distinct55
Distinct (%)79.7%
Missing3
Missing (%)4.2%
Memory size708.0 B
2024-04-06T22:47:06.460875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.8695652
Min length8

Characters and Unicode

Total characters612
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

Unique44 ?
Unique (%)63.8%

Sample

1st row754-4978
2nd row792-7602
3rd row778-7582
4th row711-4527
5th row749-6750
ValueCountFrequency (%)
794-7588 3
 
4.3%
2012-3875 3
 
4.3%
2012-1256 3
 
4.3%
796-5008 2
 
2.9%
749-8275 2
 
2.9%
790-9808 2
 
2.9%
792-5455 2
 
2.9%
792-7602 2
 
2.9%
795-2184 2
 
2.9%
790-2344 2
 
2.9%
Other values (45) 46
66.7%
2024-04-06T22:47:06.800775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 109
17.8%
- 83
13.6%
2 77
12.6%
0 72
11.8%
5 63
10.3%
9 55
9.0%
8 40
 
6.5%
4 34
 
5.6%
1 34
 
5.6%
3 26
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 529
86.4%
Dash Punctuation 83
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 109
20.6%
2 77
14.6%
0 72
13.6%
5 63
11.9%
9 55
10.4%
8 40
 
7.6%
4 34
 
6.4%
1 34
 
6.4%
3 26
 
4.9%
6 19
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 109
17.8%
- 83
13.6%
2 77
12.6%
0 72
11.8%
5 63
10.3%
9 55
9.0%
8 40
 
6.5%
4 34
 
5.6%
1 34
 
5.6%
3 26
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 109
17.8%
- 83
13.6%
2 77
12.6%
0 72
11.8%
5 63
10.3%
9 55
9.0%
8 40
 
6.5%
4 34
 
5.6%
1 34
 
5.6%
3 26
 
4.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)60.9%
Missing3
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean117.3629
Minimum0
Maximum3760
Zeros25
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-06T22:47:06.924064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32.4
Q384
95-th percentile292.522
Maximum3760
Range3760
Interquartile range (IQR)84

Descriptive statistics

Standard deviation456.61354
Coefficient of variation (CV)3.8906123
Kurtosis61.938635
Mean117.3629
Median Absolute Deviation (MAD)32.4
Skewness7.7007021
Sum8098.04
Variance208495.93
MonotonicityNot monotonic
2024-04-06T22:47:07.036844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 25
34.7%
1.0 3
 
4.2%
32.04 2
 
2.8%
35.82 1
 
1.4%
66.34 1
 
1.4%
245.54 1
 
1.4%
191.0 1
 
1.4%
94.77 1
 
1.4%
140.4 1
 
1.4%
321.89 1
 
1.4%
Other values (32) 32
44.4%
(Missing) 3
 
4.2%
ValueCountFrequency (%)
0.0 25
34.7%
1.0 3
 
4.2%
12.5 1
 
1.4%
13.75 1
 
1.4%
26.0 1
 
1.4%
32.02 1
 
1.4%
32.04 2
 
2.8%
32.4 1
 
1.4%
35.82 1
 
1.4%
36.19 1
 
1.4%
ValueCountFrequency (%)
3760.0 1
1.4%
512.0 1
1.4%
494.0 1
1.4%
321.89 1
1.4%
248.47 1
1.4%
245.54 1
1.4%
224.4 1
1.4%
191.0 1
1.4%
148.05 1
1.4%
140.4 1
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

지번주소
Text

Distinct65
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-04-06T22:47:07.284983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length28.180556
Min length18

Characters and Unicode

Total characters2029
Distinct characters96
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

Unique61 ?
Unique (%)84.7%

Sample

1st row서울특별시 용산구 후암동 216번지
2nd row서울특별시 용산구 이태원동 21-1 번지
3rd row서울특별시 용산구 후암동 63-1번지 지상1층
4th row서울특별시 용산구 효창동 70-11번지
5th row서울특별시 용산구 보광동 259-1 용호빌딩 202호, 203호
ValueCountFrequency (%)
서울특별시 72
18.9%
용산구 72
18.9%
이촌동 13
 
3.4%
번지 11
 
2.9%
이태원동 11
 
2.9%
한남동 11
 
2.9%
한강로3가 10
 
2.6%
40-999번지 8
 
2.1%
보광동 6
 
1.6%
226-7번지 4
 
1.1%
Other values (120) 162
42.6%
2024-04-06T22:47:07.669731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
373
 
18.4%
1 85
 
4.2%
산 84
 
4.1%
용 83
 
4.1%
시 76
 
3.7%
2 73
 
3.6%
서 72
 
3.5%
구 72
 
3.5%
울 72
 
3.5%
별 72
 
3.5%
Other values (86) 967
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1160
57.2%
Decimal Number 419
 
20.7%
Space Separator 373
 
18.4%
Dash Punctuation 67
 
3.3%
Other Punctuation 4
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 84
 
7.2%
용 83
 
7.2%
시 76
 
6.6%
서 72
 
6.2%
구 72
 
6.2%
울 72
 
6.2%
별 72
 
6.2%
특 72
 
6.2%
동 66
 
5.7%
지 65
 
5.6%
Other values (69) 426
36.7%
Decimal Number
ValueCountFrequency (%)
1 85
20.3%
2 73
17.4%
3 55
13.1%
0 49
11.7%
6 42
10.0%
9 38
9.1%
4 28
 
6.7%
5 24
 
5.7%
7 16
 
3.8%
8 9
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1160
57.2%
Common 867
42.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 84
 
7.2%
용 83
 
7.2%
시 76
 
6.6%
서 72
 
6.2%
구 72
 
6.2%
울 72
 
6.2%
별 72
 
6.2%
특 72
 
6.2%
동 66
 
5.7%
지 65
 
5.6%
Other values (69) 426
36.7%
Common
ValueCountFrequency (%)
373
43.0%
1 85
 
9.8%
2 73
 
8.4%
- 67
 
7.7%
3 55
 
6.3%
0 49
 
5.7%
6 42
 
4.8%
9 38
 
4.4%
4 28
 
3.2%
5 24
 
2.8%
Other values (5) 33
 
3.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1160
57.2%
ASCII 869
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
373
42.9%
1 85
 
9.8%
2 73
 
8.4%
- 67
 
7.7%
3 55
 
6.3%
0 49
 
5.6%
6 42
 
4.8%
9 38
 
4.4%
4 28
 
3.2%
5 24
 
2.8%
Other values (7) 35
 
4.0%
Hangul
ValueCountFrequency (%)
산 84
 
7.2%
용 83
 
7.2%
시 76
 
6.6%
서 72
 
6.2%
구 72
 
6.2%
울 72
 
6.2%
별 72
 
6.2%
특 72
 
6.2%
동 66
 
5.7%
지 65
 
5.6%
Other values (69) 426
36.7%

도로명주소
Text

MISSING 

Distinct47
Distinct (%)88.7%
Missing19
Missing (%)26.4%
Memory size708.0 B
2024-04-06T22:47:07.907747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length32.320755
Min length22

Characters and Unicode

Total characters1713
Distinct characters115
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

Unique43 ?
Unique (%)81.1%

Sample

1st row서울특별시 용산구 후암로 13-2 (후암동)
2nd row서울특별시 용산구 후암로 51, 지상1층 (후암동)
3rd row서울특별시 용산구 백범로 293 (효창동)
4th row서울특별시 용산구 보광로 46, 용호빌딩 지상2층 202,203호 (보광동)
5th row서울특별시 용산구 녹사평대로 210 (이태원동)
ValueCountFrequency (%)
서울특별시 53
 
15.8%
용산구 53
 
15.8%
이태원동 9
 
2.7%
이촌로 7
 
2.1%
이촌동 7
 
2.1%
한남동 6
 
1.8%
보광동 6
 
1.8%
지상1층 6
 
1.8%
한강로3가 5
 
1.5%
회나무로 5
 
1.5%
Other values (125) 179
53.3%
2024-04-06T22:47:08.263245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
16.5%
1 72
 
4.2%
로 63
 
3.7%
산 63
 
3.7%
용 62
 
3.6%
서 57
 
3.3%
시 57
 
3.3%
( 53
 
3.1%
구 53
 
3.1%
울 53
 
3.1%
Other values (105) 897
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1003
58.6%
Space Separator 283
 
16.5%
Decimal Number 257
 
15.0%
Open Punctuation 53
 
3.1%
Close Punctuation 53
 
3.1%
Other Punctuation 51
 
3.0%
Dash Punctuation 11
 
0.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 63
 
6.3%
산 63
 
6.3%
용 62
 
6.2%
서 57
 
5.7%
시 57
 
5.7%
구 53
 
5.3%
울 53
 
5.3%
동 53
 
5.3%
특 53
 
5.3%
별 53
 
5.3%
Other values (88) 436
43.5%
Decimal Number
ValueCountFrequency (%)
1 72
28.0%
2 53
20.6%
3 26
 
10.1%
0 25
 
9.7%
4 24
 
9.3%
5 18
 
7.0%
8 13
 
5.1%
6 13
 
5.1%
7 8
 
3.1%
9 5
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
58.6%
Common 708
41.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 63
 
6.3%
산 63
 
6.3%
용 62
 
6.2%
서 57
 
5.7%
시 57
 
5.7%
구 53
 
5.3%
울 53
 
5.3%
동 53
 
5.3%
특 53
 
5.3%
별 53
 
5.3%
Other values (88) 436
43.5%
Common
ValueCountFrequency (%)
283
40.0%
1 72
 
10.2%
( 53
 
7.5%
) 53
 
7.5%
2 53
 
7.5%
, 51
 
7.2%
3 26
 
3.7%
0 25
 
3.5%
4 24
 
3.4%
5 18
 
2.5%
Other values (5) 50
 
7.1%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
58.6%
ASCII 710
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
39.9%
1 72
 
10.1%
( 53
 
7.5%
) 53
 
7.5%
2 53
 
7.5%
, 51
 
7.2%
3 26
 
3.7%
0 25
 
3.5%
4 24
 
3.4%
5 18
 
2.5%
Other values (7) 52
 
7.3%
Hangul
ValueCountFrequency (%)
로 63
 
6.3%
산 63
 
6.3%
용 62
 
6.2%
서 57
 
5.7%
시 57
 
5.7%
구 53
 
5.3%
울 53
 
5.3%
동 53
 
5.3%
특 53
 
5.3%
별 53
 
5.3%
Other values (88) 436
43.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)77.5%
Missing32
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean4374.075
Minimum4309
Maximum4427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-06T22:47:08.374586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4309
5-th percentile4315
Q14342.75
median4377
Q34408
95-th percentile4426
Maximum4427
Range118
Interquartile range (IQR)65.25

Descriptive statistics

Standard deviation38.307385
Coefficient of variation (CV)0.0087578254
Kurtosis-1.3015974
Mean4374.075
Median Absolute Deviation (MAD)35
Skewness-0.11487155
Sum174963
Variance1467.4558
MonotonicityNot monotonic
2024-04-06T22:47:08.484066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4426 4
 
5.6%
4377 3
 
4.2%
4315 2
 
2.8%
4345 2
 
2.8%
4339 2
 
2.8%
4385 2
 
2.8%
4415 1
 
1.4%
4359 1
 
1.4%
4401 1
 
1.4%
4391 1
 
1.4%
Other values (21) 21
29.2%
(Missing) 32
44.4%
ValueCountFrequency (%)
4309 1
1.4%
4315 2
2.8%
4317 1
1.4%
4318 1
1.4%
4325 1
1.4%
4331 1
1.4%
4335 1
1.4%
4339 2
2.8%
4344 1
1.4%
4345 2
2.8%
ValueCountFrequency (%)
4427 1
 
1.4%
4426 4
5.6%
4425 1
 
1.4%
4419 1
 
1.4%
4418 1
 
1.4%
4415 1
 
1.4%
4414 1
 
1.4%
4406 1
 
1.4%
4403 1
 
1.4%
4402 1
 
1.4%

사업장명
Text

Distinct56
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-04-06T22:47:08.698393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length7.625
Min length5

Characters and Unicode

Total characters549
Distinct characters123
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

Unique46 ?
Unique (%)63.9%

Sample

1st row이수의과의원
2nd row청화동물병원
3rd row남산동물병원
4th row효창동물병원
5th row21세기동물병원
ValueCountFrequency (%)
동물병원 7
 
8.4%
갤러리동물병원 4
 
4.8%
펫토이동물병원 3
 
3.6%
성심동물병원 3
 
3.6%
쿨펫동물병원 3
 
3.6%
이상윤동물병원 3
 
3.6%
이태원동물병원 2
 
2.4%
차오름동물병원 2
 
2.4%
보광동물병원 2
 
2.4%
한사랑동물병원 2
 
2.4%
Other values (51) 52
62.7%
2024-04-06T22:47:09.047557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 73
 
13.3%
동 71
 
12.9%
물 71
 
12.9%
병 68
 
12.4%
이 14
 
2.6%
펫 13
 
2.4%
11
 
2.0%
리 8
 
1.5%
스 6
 
1.1%
종 6
 
1.1%
Other values (113) 208
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
90.9%
Lowercase Letter 15
 
2.7%
Space Separator 11
 
2.0%
Uppercase Letter 11
 
2.0%
Decimal Number 7
 
1.3%
Other Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 73
14.6%
동 71
14.2%
물 71
14.2%
병 68
13.6%
이 14
 
2.8%
펫 13
 
2.6%
리 8
 
1.6%
스 6
 
1.2%
종 6
 
1.2%
합 6
 
1.2%
Other values (86) 163
32.7%
Lowercase Letter
ValueCountFrequency (%)
a 4
26.7%
l 2
13.3%
i 2
13.3%
m 1
 
6.7%
n 1
 
6.7%
d 1
 
6.7%
o 1
 
6.7%
s 1
 
6.7%
t 1
 
6.7%
p 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
A 2
18.2%
H 1
9.1%
B 1
9.1%
N 1
9.1%
P 1
9.1%
Y 1
9.1%
E 1
9.1%
T 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
4 1
 
14.3%
9 1
 
14.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
90.9%
Latin 26
 
4.7%
Common 24
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 73
14.6%
동 71
14.2%
물 71
14.2%
병 68
13.6%
이 14
 
2.8%
펫 13
 
2.6%
리 8
 
1.6%
스 6
 
1.2%
종 6
 
1.2%
합 6
 
1.2%
Other values (86) 163
32.7%
Latin
ValueCountFrequency (%)
a 4
15.4%
l 2
 
7.7%
S 2
 
7.7%
A 2
 
7.7%
i 2
 
7.7%
H 1
 
3.8%
m 1
 
3.8%
n 1
 
3.8%
d 1
 
3.8%
o 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
11
45.8%
1 3
 
12.5%
' 2
 
8.3%
( 2
 
8.3%
) 2
 
8.3%
2 2
 
8.3%
4 1
 
4.2%
9 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
90.9%
ASCII 50
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 73
14.6%
동 71
14.2%
물 71
14.2%
병 68
13.6%
이 14
 
2.8%
펫 13
 
2.6%
리 8
 
1.6%
스 6
 
1.2%
종 6
 
1.2%
합 6
 
1.2%
Other values (86) 163
32.7%
ASCII
ValueCountFrequency (%)
11
22.0%
a 4
 
8.0%
1 3
 
6.0%
l 2
 
4.0%
S 2
 
4.0%
' 2
 
4.0%
A 2
 
4.0%
( 2
 
4.0%
) 2
 
4.0%
i 2
 
4.0%
Other values (17) 18
36.0%

최종수정일자
Date

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2003-05-20 10:56:52
Maximum2024-03-19 11:30:13
2024-04-06T22:47:09.400336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:47:09.515456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
I
40 
U
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
55.6%
U 32
44.4%

Length

2024-04-06T22:47:09.634787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:09.726700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
55.6%
u 32
44.4%

데이터갱신일자
Categorical

Distinct24
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
2018-08-31 23:59:59.0
38 
2019-03-08 02:40:00.0
12 
2023-12-02 22:01:00.0
 
1
2021-12-07 00:08:00.0
 
1
2021-12-04 22:06:00.0
 
1
Other values (19)
19 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique22 ?
Unique (%)30.6%

Sample

1st row2019-10-31 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2019-03-08 02:40:00.0
4th row2019-03-08 02:40:00.0
5th row2023-12-02 22:01:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 38
52.8%
2019-03-08 02:40:00.0 12
 
16.7%
2023-12-02 22:01:00.0 1
 
1.4%
2021-12-07 00:08:00.0 1
 
1.4%
2021-12-04 22:06:00.0 1
 
1.4%
2022-12-05 21:00:00.0 1
 
1.4%
2021-07-21 02:40:00.0 1
 
1.4%
2021-08-04 02:40:00.0 1
 
1.4%
2023-11-30 22:07:00.0 1
 
1.4%
2019-11-24 02:40:00.0 1
 
1.4%
Other values (14) 14
 
19.4%

Length

2024-04-06T22:47:09.821233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 38
26.4%
23:59:59.0 38
26.4%
02:40:00.0 18
12.5%
2019-03-08 12
 
8.3%
00:08:00.0 2
 
1.4%
23:08:00.0 2
 
1.4%
2021-12-04 2
 
1.4%
21:00:00.0 2
 
1.4%
2021-12-07 2
 
1.4%
2023-12-02 2
 
1.4%
Other values (26) 26
18.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)68.3%
Missing12
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean198158.7
Minimum195547.14
Maximum200779.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-06T22:47:09.924827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195547.14
5-th percentile196417.21
Q1196949.32
median197941.29
Q3199168.96
95-th percentile200402.24
Maximum200779.18
Range5232.0417
Interquartile range (IQR)2219.6377

Descriptive statistics

Standard deviation1418.9532
Coefficient of variation (CV)0.0071606906
Kurtosis-1.0895039
Mean198158.7
Median Absolute Deviation (MAD)1179.212
Skewness0.12749905
Sum11889522
Variance2013428.1
MonotonicityNot monotonic
2024-04-06T22:47:10.042816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
196762.077394917 8
 
11.1%
197722.571038558 4
 
5.6%
199165.360853386 4
 
5.6%
199902.25812814 3
 
4.2%
198802.476070336 2
 
2.8%
199997.342115458 2
 
2.8%
195610.363553274 2
 
2.8%
197045.849468346 2
 
2.8%
200779.182 1
 
1.4%
197270.042278677 1
 
1.4%
Other values (31) 31
43.1%
(Missing) 12
 
16.7%
ValueCountFrequency (%)
195547.140326252 1
 
1.4%
195610.363553274 2
 
2.8%
196459.674190442 1
 
1.4%
196490.844311727 1
 
1.4%
196549.89584221 1
 
1.4%
196561.891893717 1
 
1.4%
196762.077394917 8
11.1%
197011.737528847 1
 
1.4%
197045.849468346 2
 
2.8%
197056.728931087 1
 
1.4%
ValueCountFrequency (%)
200779.182 1
 
1.4%
200628.554655257 1
 
1.4%
200506.187313451 1
 
1.4%
200396.764625983 1
 
1.4%
200175.519852569 1
 
1.4%
200079.108817319 1
 
1.4%
199997.342115458 2
2.8%
199902.25812814 3
4.2%
199860.819809374 1
 
1.4%
199826.53279484 1
 
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)68.3%
Missing12
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean447825.99
Minimum446185.24
Maximum449803.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-06T22:47:10.150815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446185.24
5-th percentile446344.59
Q1447409.6
median447929.25
Q3448459.49
95-th percentile449370.74
Maximum449803.9
Range3618.6551
Interquartile range (IQR)1049.888

Descriptive statistics

Standard deviation894.27593
Coefficient of variation (CV)0.0019969273
Kurtosis-0.40299474
Mean447825.99
Median Absolute Deviation (MAD)542.16325
Skewness-0.046026642
Sum26869560
Variance799729.45
MonotonicityNot monotonic
2024-04-06T22:47:10.259789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
447480.039577359 8
 
11.1%
446344.591216568 4
 
5.6%
448621.237751287 4
 
5.6%
447753.685996193 3
 
4.2%
448239.820740686 2
 
2.8%
447142.507109616 2
 
2.8%
448004.722288371 2
 
2.8%
448447.558967085 2
 
2.8%
448049.195666666 1
 
1.4%
446419.923247168 1
 
1.4%
Other values (31) 31
43.1%
(Missing) 12
 
16.7%
ValueCountFrequency (%)
446185.244544796 1
 
1.4%
446272.36306167 1
 
1.4%
446344.591216568 4
5.6%
446384.74301469 1
 
1.4%
446419.923247168 1
 
1.4%
446420.759276915 1
 
1.4%
446893.484429691 1
 
1.4%
446986.411557186 1
 
1.4%
447077.126289262 1
 
1.4%
447142.507109616 2
2.8%
ValueCountFrequency (%)
449803.89961095 1
 
1.4%
449605.434772664 1
 
1.4%
449440.48569012 1
 
1.4%
449367.071265042 1
 
1.4%
449191.560826572 1
 
1.4%
448982.633361938 1
 
1.4%
448827.72464503 1
 
1.4%
448621.237751287 4
5.6%
448599.20104052 1
 
1.4%
448594.448927151 1
 
1.4%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
동물병원
57 
<NA>
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 57
79.2%
<NA> 15
 
20.8%

Length

2024-04-06T22:47:10.371031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:10.458464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 57
79.2%
na 15
 
20.8%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
000
56 
<NA>
15 
L00
 
1

Length

Max length4
Median length3
Mean length3.2083333
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
000 56
77.8%
<NA> 15
 
20.8%
L00 1
 
1.4%

Length

2024-04-06T22:47:10.552958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:10.640114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 56
77.8%
na 15
 
20.8%
l00 1
 
1.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
70 
0
 
2

Length

Max length4
Median length4
Mean length3.9166667
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> 70
97.2%
0 2
 
2.8%

Length

2024-04-06T22:47:10.743202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:47:10.840940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
97.2%
0 2
 
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0302000030200000101976000120021223<NA>3폐업2폐업20191029<NA><NA><NA>754-49781.0<NA>서울특별시 용산구 후암동 216번지서울특별시 용산구 후암로 13-2 (후암동)4335이수의과의원2019-10-29 15:00:45U2019-10-31 02:40:00.0<NA>197975.33633449440.48569동물병원<NA><NA>000<NA>
1302000030200000102002000120021223<NA>3폐업2폐업20050624<NA><NA><NA>792-76021.0<NA>서울특별시 용산구 이태원동 21-1 번지<NA><NA>청화동물병원2005-06-24 10:58:25I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>000<NA>
2302000030200000102002000220021223<NA>1영업/정상0정상<NA><NA><NA><NA>778-758251.4<NA>서울특별시 용산구 후암동 63-1번지 지상1층서울특별시 용산구 후암로 51, 지상1층 (후암동)4325남산동물병원2019-03-06 13:57:29U2019-03-08 02:40:00.0<NA>197907.242547449803.899611동물병원<NA><NA>000<NA>
3302000030200000102002000320021223<NA>1영업/정상0정상<NA><NA><NA><NA>711-45270.0<NA>서울특별시 용산구 효창동 70-11번지서울특별시 용산구 백범로 293 (효창동)4317효창동물병원2019-03-06 13:57:51U2019-03-08 02:40:00.0<NA>196561.891894448563.455748동물병원<NA><NA>000<NA>
430200003020000010200200042002-12-23<NA>3폐업2폐업2024-03-09<NA><NA><NA>749-67500.0<NA>서울특별시 용산구 보광동 259-1 용호빌딩 202호, 203호서울특별시 용산구 보광로 46, 용호빌딩 지상2층 202,203호 (보광동)441421세기동물병원2024-03-19 11:30:13U2023-12-02 22:01:00.0<NA>199860.819809447348.10087<NA><NA><NA><NA><NA>
5302000030200000102002000520021223<NA>3폐업2폐업<NA><NA><NA><NA>794-49450.0<NA>서울특별시 용산구 이태원동 531번지서울특별시 용산구 녹사평대로 210 (이태원동)4345이태원동물병원2012-06-19 11:29:11I2018-08-31 23:59:59.0<NA>198802.47607448239.820741동물병원<NA><NA>000<NA>
6302000030200000102002000620021227<NA>1영업/정상0정상<NA><NA><NA><NA>793-92300.0<NA>서울특별시 용산구 한남동 642-4번지서울특별시 용산구 대사관로24길 28 (한남동)4402한남동물병원2019-03-06 13:59:08U2019-03-08 02:40:00.0<NA>200396.764626447797.339728동물병원<NA><NA>000<NA>
7302000030200000102002000720021227<NA>3폐업2폐업20031210<NA><NA><NA>795-86080.0<NA>서울특별시 용산구 이촌동 301-151번지 로얄상가106호서울특별시 용산구 이촌로 245 (이촌동,로얄상가106호)<NA>구림동물병원2015-07-17 17:22:32I2018-08-31 23:59:59.0<NA>197646.388904446420.759277동물병원<NA><NA>000<NA>
8302000030200000102002000820021227<NA>3폐업2폐업20051212<NA><NA><NA>792-54550.0<NA>서울특별시 용산구 이촌동 300-26 번지 한강아파트상가 21동 106호<NA><NA>이상윤동물병원2005-12-27 15:59:06I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>000<NA>
9302000030200000102002000920021227<NA>1영업/정상0정상<NA><NA><NA><NA>3273-00750.0<NA>서울특별시 용산구 원효로2가 84-10번지 신영빌딩서울특별시 용산구 원효로 171, 신영빌딩 (원효로2가)4364열린동물종합병원2019-03-06 13:59:29U2019-03-08 02:40:00.0<NA>196549.895842448153.524399동물병원<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
62302000030200000102016000120161021<NA>1영업/정상0정상<NA><NA><NA><NA>02-792-256148.0<NA>서울특별시 용산구 용산동5가 24번지 파크타워 지하1층 비21호서울특별시 용산구 서빙고로 67, 지하1층 비21호 (용산동5가, 파크타워)4385바다동물병원(Bada Animal Hospital)2019-03-06 14:11:15U2019-03-08 02:40:00.0<NA>197338.915067446893.48443동물병원<NA><NA>000<NA>
63302000030200000102016000220161215<NA>1영업/정상0정상<NA><NA><NA><NA>02-793-0075248.47<NA>서울특별시 용산구 이촌동 302-88 지상1층 101호서울특별시 용산구 이촌로64길 24, 지상1층 101호 (이촌동)442724시 시유동물메디컬센터2022-08-11 17:55:24U2021-12-07 23:03:00.0<NA>197270.042279446419.923247<NA><NA><NA><NA><NA>
64302000030200000102017000120170308<NA>1영업/정상0정상<NA><NA><NA><NA>02-749-758840.51<NA>서울특별시 용산구 이촌동 300-23번지 한강맨션 11동 102호서울특별시 용산구 이촌로 248, 11동 102호 (이촌동, 한강맨션)4426베이동물병원2019-03-06 14:12:33U2019-03-08 02:40:00.0<NA>197722.571039446344.591217동물병원<NA><NA>000<NA>
6530200003020000010201700022017-09-26<NA>1영업/정상0정상<NA><NA><NA><NA>02-792-8275224.4<NA>서울특별시 용산구 한남동 29-6 아이리스프라자 지상3층서울특별시 용산구 독서당로 81-1, 아이리스프라자 지상3층 (한남동)4419더힐동물의료센터2023-12-05 09:04:02U2022-11-02 00:07:00.0<NA>200779.182448049.195667<NA><NA><NA><NA><NA>
66302000030200000102018000120180514<NA>1영업/정상0정상<NA><NA><NA><NA>02-797-127573.0<NA>서울특별시 용산구 한강로3가 63-389 용산시티파크1단지 101동 101호서울특별시 용산구 서빙고로 35, 101동 101호 (한강로3가, 용산시티파크1단지)4385워너비동물병원 용산점2022-04-28 10:27:32U2021-12-03 21:00:00.0<NA>197202.846269446986.411557<NA><NA><NA><NA><NA>
67302000030200000102019000120190419<NA>1영업/정상0정상<NA><NA><NA><NA>02-719-8275<NA><NA>서울특별시 용산구 청파동2가 90-20번지 지상1층서울특별시 용산구 청파로47길 16, 지상1층 (청파동2가)4309원스동물병원2019-04-19 14:08:57I2019-04-21 02:20:27.0<NA>197234.131476449191.560827동물병원<NA><NA>000<NA>
68302000030200000102021000120210423<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-2280148.05<NA>서울특별시 용산구 한남동 737-4 1층서울특별시 용산구 이태원로 227, 1층 (한남동)4349더벳한남동물병원2021-04-30 10:09:23U2021-05-02 02:40:00.0<NA>199826.532795448157.316168동물병원<NA><NA>000<NA>
6930200003020000010202300012023-02-01<NA>1영업/정상0정상<NA><NA><NA><NA>02792545539.37<NA>서울특별시 용산구 이촌동 300-23 한강맨션서울특별시 용산구 이촌로 248, 31동 105-2호 (이촌동, 한강맨션)4426이상윤동물병원2024-02-16 11:04:45U2023-12-01 23:08:00.0<NA>197722.571039446344.591217<NA><NA><NA><NA><NA>
7030200003020000010202300022023-03-16<NA>1영업/정상0정상<NA><NA><NA><NA><NA>102.53<NA>서울특별시 용산구 한강로3가 98서울특별시 용산구 서빙고로 17, 헤링턴스퀘어 센트럴파크 몰동 1146, 1147호 (한강로3가)4387에스동물병원2023-03-16 18:43:31I2022-12-02 23:08:00.0<NA>197056.728931447077.126289<NA><NA><NA><NA><NA>
7130200003020000010202400012024-02-26<NA>1영업/정상0정상<NA><NA><NA><NA>02-2138-38770.0<NA>서울특별시 용산구 한강로2가 422 래미안용산 더 센트럴 225호서울특별시 용산구 한강대로 95, 225호 (한강로2가, 래미안용산 더 센트럴)4378위런한방재활동물병원2024-02-29 14:48:29U2023-12-03 00:02:00.0<NA>197011.737529447430.100251<NA><NA><NA><NA><NA>