Overview

Dataset statistics

Number of variables30
Number of observations33
Missing cells308
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory262.0 B

Variable types

Categorical9
Numeric6
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16492/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 20 (60.6%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 3 (9.1%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
도로명주소 has 5 (15.2%) missing valuesMissing
도로명우편번호 has 8 (24.2%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(X) has 4 (12.1%) missing valuesMissing
좌표정보(Y) has 4 (12.1%) missing valuesMissing
축산물가공업구분명 has 33 (100.0%) missing valuesMissing
축산일련번호 has 33 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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 16 (48.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:39:25.136834
Analysis finished2024-05-11 06:39:25.768653
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3010000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 33
100.0%

Length

2024-05-11T15:39:25.887447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:26.058416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.01 × 1017
Minimum3.01 × 1017
Maximum3.01 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:39:26.256595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.01 × 1017
5-th percentile3.01 × 1017
Q13.01 × 1017
median3.01 × 1017
Q33.01 × 1017
95-th percentile3.01 × 1017
Maximum3.01 × 1017
Range480000
Interquartile range (IQR)190016

Descriptive statistics

Standard deviation115136.66
Coefficient of variation (CV)3.8251383 × 10-13
Kurtosis0.44819379
Mean3.01 × 1017
Median Absolute Deviation (MAD)80000
Skewness-0.84430225
Sum-8.513744 × 1018
Variance1.3256451 × 1010
MonotonicityStrictly increasing
2024-05-11T15:39:26.502917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
301000001019750001 1
 
3.0%
301000001020190005 1
 
3.0%
301000001020150001 1
 
3.0%
301000001020160001 1
 
3.0%
301000001020160002 1
 
3.0%
301000001020190002 1
 
3.0%
301000001020190003 1
 
3.0%
301000001020190004 1
 
3.0%
301000001020190006 1
 
3.0%
301000001019900001 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
301000001019750001 1
3.0%
301000001019900001 1
3.0%
301000001019920001 1
3.0%
301000001019950001 1
3.0%
301000001019950002 1
3.0%
301000001019980001 1
3.0%
301000001020000001 1
3.0%
301000001020000002 1
3.0%
301000001020000003 1
3.0%
301000001020010001 1
3.0%
ValueCountFrequency (%)
301000001020230001 1
3.0%
301000001020210002 1
3.0%
301000001020210001 1
3.0%
301000001020200001 1
3.0%
301000001020190008 1
3.0%
301000001020190007 1
3.0%
301000001020190006 1
3.0%
301000001020190005 1
3.0%
301000001020190004 1
3.0%
301000001020190003 1
3.0%

인허가일자
Date

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1975-09-30 00:00:00
Maximum2023-02-22 00:00:00
2024-05-11T15:39:26.800311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:27.022421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
20 
3
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
60.6%
3 13
39.4%

Length

2024-05-11T15:39:27.376122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:27.555887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
60.6%
3 13
39.4%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
20 
폐업
13 

Length

Max length5
Median length5
Mean length3.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
60.6%
폐업 13
39.4%

Length

2024-05-11T15:39:27.758828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:27.916652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
60.6%
폐업 13
39.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
20 
2
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
60.6%
2 13
39.4%

Length

2024-05-11T15:39:28.105396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:28.293311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
60.6%
2 13
39.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
정상
20 
폐업
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 20
60.6%
폐업 13
39.4%

Length

2024-05-11T15:39:28.473087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:28.654822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 20
60.6%
폐업 13
39.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing20
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean20110444
Minimum20040117
Maximum20200601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:39:28.816586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040117
5-th percentile20040359
Q120050415
median20080103
Q320190630
95-th percentile20200312
Maximum20200601
Range160484
Interquartile range (IQR)140215

Descriptive statistics

Standard deviation70844.831
Coefficient of variation (CV)0.003522788
Kurtosis-1.9571309
Mean20110444
Median Absolute Deviation (MAD)39583
Skewness0.41787727
Sum2.6143577 × 108
Variance5.0189901 × 109
MonotonicityNot monotonic
2024-05-11T15:39:29.002039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20040117 1
 
3.0%
20080103 1
 
3.0%
20040520 1
 
3.0%
20090803 1
 
3.0%
20040726 1
 
3.0%
20060315 1
 
3.0%
20050415 1
 
3.0%
20200601 1
 
3.0%
20060403 1
 
3.0%
20190630 1
 
3.0%
Other values (3) 3
 
9.1%
(Missing) 20
60.6%
ValueCountFrequency (%)
20040117 1
3.0%
20040520 1
3.0%
20040726 1
3.0%
20050415 1
3.0%
20060315 1
3.0%
20060403 1
3.0%
20080103 1
3.0%
20090803 1
3.0%
20180904 1
3.0%
20190630 1
3.0%
ValueCountFrequency (%)
20200601 1
3.0%
20200120 1
3.0%
20200114 1
3.0%
20190630 1
3.0%
20180904 1
3.0%
20090803 1
3.0%
20080103 1
3.0%
20060403 1
3.0%
20060315 1
3.0%
20050415 1
3.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing3
Missing (%)9.1%
Memory size396.0 B
2024-05-11T15:39:29.330385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.666667
Min length9

Characters and Unicode

Total characters320
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

Unique26 ?
Unique (%)86.7%

Sample

1st row2238-6306
2nd row2274-8558
3rd row2237-3366
4th row2278-0075
5th row2263-6134
ValueCountFrequency (%)
02-2237-7582 2
 
6.7%
02-6956-7502 2
 
6.7%
2238-6306 1
 
3.3%
02-393-7588 1
 
3.3%
02-2253-2233 1
 
3.3%
02-6965-7502 1
 
3.3%
02-2234-7585 1
 
3.3%
02-2038-7555 1
 
3.3%
02-2232-9702 1
 
3.3%
02-2210-2539 1
 
3.3%
Other values (18) 18
60.0%
2024-05-11T15:39:29.979590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 78
24.4%
- 47
14.7%
3 37
11.6%
5 33
10.3%
0 31
 
9.7%
7 29
 
9.1%
8 22
 
6.9%
6 22
 
6.9%
9 9
 
2.8%
4 6
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
85.3%
Dash Punctuation 47
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 78
28.6%
3 37
13.6%
5 33
12.1%
0 31
 
11.4%
7 29
 
10.6%
8 22
 
8.1%
6 22
 
8.1%
9 9
 
3.3%
4 6
 
2.2%
1 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 78
24.4%
- 47
14.7%
3 37
11.6%
5 33
10.3%
0 31
 
9.7%
7 29
 
9.1%
8 22
 
6.9%
6 22
 
6.9%
9 9
 
2.8%
4 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 78
24.4%
- 47
14.7%
3 37
11.6%
5 33
10.3%
0 31
 
9.7%
7 29
 
9.1%
8 22
 
6.9%
6 22
 
6.9%
9 9
 
2.8%
4 6
 
1.9%

소재지면적
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.60061
Minimum0
Maximum1394.05
Zeros16
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:39:30.179655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14.96
Q3118.8
95-th percentile712.226
Maximum1394.05
Range1394.05
Interquartile range (IQR)118.8

Descriptive statistics

Standard deviation299.91874
Coefficient of variation (CV)2.1180611
Kurtosis10.865701
Mean141.60061
Median Absolute Deviation (MAD)14.96
Skewness3.223483
Sum4672.82
Variance89951.249
MonotonicityNot monotonic
2024-05-11T15:39:30.368672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 16
48.5%
117.26 1
 
3.0%
118.8 1
 
3.0%
52.89 1
 
3.0%
91.0 1
 
3.0%
144.0 1
 
3.0%
223.6 1
 
3.0%
67.91 1
 
3.0%
14.96 1
 
3.0%
44.77 1
 
3.0%
Other values (8) 8
24.2%
ValueCountFrequency (%)
0.0 16
48.5%
14.96 1
 
3.0%
44.77 1
 
3.0%
46.2 1
 
3.0%
52.89 1
 
3.0%
67.91 1
 
3.0%
77.37 1
 
3.0%
91.0 1
 
3.0%
117.26 1
 
3.0%
118.8 1
 
3.0%
ValueCountFrequency (%)
1394.05 1
3.0%
1003.67 1
3.0%
517.93 1
3.0%
306.0 1
3.0%
242.41 1
3.0%
223.6 1
3.0%
210.0 1
3.0%
144.0 1
3.0%
118.8 1
3.0%
117.26 1
3.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지번주소
Text

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T15:39:30.738448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length29
Mean length24.727273
Min length16

Characters and Unicode

Total characters816
Distinct characters93
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

Unique26 ?
Unique (%)78.8%

Sample

1st row서울특별시 중구 신당동 370-58번지
2nd row서울특별시 중구 필동2가 53
3rd row서울특별시 중구 신당동 336-3 명덕빌딩
4th row서울특별시 중구 묵정동 32-1
5th row서울특별시 중구 충무로4가 93-1
ValueCountFrequency (%)
서울특별시 33
19.9%
중구 33
19.9%
신당동 18
 
10.8%
황학동 4
 
2.4%
을지로5가 3
 
1.8%
133-1 3
 
1.8%
뉴천지관광호텔 3
 
1.8%
남산타운 3
 
1.8%
충무로4가 2
 
1.2%
롯데캐슬베네치아 2
 
1.2%
Other values (53) 62
37.3%
2024-05-11T15:39:31.335976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
18.6%
서 34
 
4.2%
울 34
 
4.2%
중 34
 
4.2%
구 34
 
4.2%
특 33
 
4.0%
별 33
 
4.0%
시 33
 
4.0%
동 28
 
3.4%
3 28
 
3.4%
Other values (83) 373
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
60.7%
Space Separator 152
 
18.6%
Decimal Number 147
 
18.0%
Dash Punctuation 22
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 34
 
6.9%
울 34
 
6.9%
중 34
 
6.9%
구 34
 
6.9%
특 33
 
6.7%
별 33
 
6.7%
시 33
 
6.7%
동 28
 
5.7%
지 22
 
4.4%
신 20
 
4.0%
Other values (71) 190
38.4%
Decimal Number
ValueCountFrequency (%)
3 28
19.0%
1 22
15.0%
2 21
14.3%
5 19
12.9%
4 17
11.6%
0 11
 
7.5%
9 8
 
5.4%
6 8
 
5.4%
8 7
 
4.8%
7 6
 
4.1%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
60.7%
Common 321
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 34
 
6.9%
울 34
 
6.9%
중 34
 
6.9%
구 34
 
6.9%
특 33
 
6.7%
별 33
 
6.7%
시 33
 
6.7%
동 28
 
5.7%
지 22
 
4.4%
신 20
 
4.0%
Other values (71) 190
38.4%
Common
ValueCountFrequency (%)
152
47.4%
3 28
 
8.7%
1 22
 
6.9%
- 22
 
6.9%
2 21
 
6.5%
5 19
 
5.9%
4 17
 
5.3%
0 11
 
3.4%
9 8
 
2.5%
6 8
 
2.5%
Other values (2) 13
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
60.7%
ASCII 321
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
47.4%
3 28
 
8.7%
1 22
 
6.9%
- 22
 
6.9%
2 21
 
6.5%
5 19
 
5.9%
4 17
 
5.3%
0 11
 
3.4%
9 8
 
2.5%
6 8
 
2.5%
Other values (2) 13
 
4.0%
Hangul
ValueCountFrequency (%)
서 34
 
6.9%
울 34
 
6.9%
중 34
 
6.9%
구 34
 
6.9%
특 33
 
6.7%
별 33
 
6.7%
시 33
 
6.7%
동 28
 
5.7%
지 22
 
4.4%
신 20
 
4.0%
Other values (71) 190
38.4%

도로명주소
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing5
Missing (%)15.2%
Memory size396.0 B
2024-05-11T15:39:31.692176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length42
Mean length34.464286
Min length22

Characters and Unicode

Total characters965
Distinct characters106
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

Unique26 ?
Unique (%)92.9%

Sample

1st row서울특별시 중구 다산로 145-1 (신당동)
2nd row서울특별시 중구 퇴계로 226 (필동2가)
3rd row서울특별시 중구 다산로 175, 명덕빌딩 (신당동)
4th row서울특별시 중구 퇴계로 254-1 (묵정동)
5th row서울특별시 중구 퇴계로 227 (충무로4가)
ValueCountFrequency (%)
서울특별시 28
 
14.3%
중구 28
 
14.3%
신당동 15
 
7.7%
1층 9
 
4.6%
다산로 9
 
4.6%
퇴계로 5
 
2.6%
황학동 4
 
2.0%
32 4
 
2.0%
을지로5가 3
 
1.5%
뉴천지관광호텔 3
 
1.5%
Other values (66) 88
44.9%
2024-05-11T15:39:32.357042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
17.4%
1 36
 
3.7%
, 35
 
3.6%
로 34
 
3.5%
동 30
 
3.1%
중 30
 
3.1%
서 29
 
3.0%
울 29
 
3.0%
( 28
 
2.9%
) 28
 
2.9%
Other values (96) 518
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
57.1%
Space Separator 168
 
17.4%
Decimal Number 145
 
15.0%
Other Punctuation 35
 
3.6%
Open Punctuation 28
 
2.9%
Close Punctuation 28
 
2.9%
Dash Punctuation 8
 
0.8%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 34
 
6.2%
동 30
 
5.4%
중 30
 
5.4%
서 29
 
5.3%
울 29
 
5.3%
시 28
 
5.1%
특 28
 
5.1%
별 28
 
5.1%
구 28
 
5.1%
당 18
 
3.3%
Other values (80) 269
48.8%
Decimal Number
ValueCountFrequency (%)
1 36
24.8%
2 25
17.2%
0 20
13.8%
3 16
11.0%
4 13
 
9.0%
7 11
 
7.6%
5 11
 
7.6%
8 8
 
5.5%
6 4
 
2.8%
9 1
 
0.7%
Space Separator
ValueCountFrequency (%)
168
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
57.1%
Common 412
42.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 34
 
6.2%
동 30
 
5.4%
중 30
 
5.4%
서 29
 
5.3%
울 29
 
5.3%
시 28
 
5.1%
특 28
 
5.1%
별 28
 
5.1%
구 28
 
5.1%
당 18
 
3.3%
Other values (80) 269
48.8%
Common
ValueCountFrequency (%)
168
40.8%
1 36
 
8.7%
, 35
 
8.5%
( 28
 
6.8%
) 28
 
6.8%
2 25
 
6.1%
0 20
 
4.9%
3 16
 
3.9%
4 13
 
3.2%
7 11
 
2.7%
Other values (5) 32
 
7.8%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
57.1%
ASCII 414
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
40.6%
1 36
 
8.7%
, 35
 
8.5%
( 28
 
6.8%
) 28
 
6.8%
2 25
 
6.0%
0 20
 
4.8%
3 16
 
3.9%
4 13
 
3.1%
7 11
 
2.7%
Other values (6) 34
 
8.2%
Hangul
ValueCountFrequency (%)
로 34
 
6.2%
동 30
 
5.4%
중 30
 
5.4%
서 29
 
5.3%
울 29
 
5.3%
시 28
 
5.1%
특 28
 
5.1%
별 28
 
5.1%
구 28
 
5.1%
당 18
 
3.3%
Other values (80) 269
48.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)72.0%
Missing8
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean4583.2
Minimum4500
Maximum4624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:39:32.568688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4500
5-th percentile4558.6
Q14572
median4585
Q34598
95-th percentile4616.8
Maximum4624
Range124
Interquartile range (IQR)26

Descriptive statistics

Standard deviation24.812631
Coefficient of variation (CV)0.0054138225
Kurtosis4.2702716
Mean4583.2
Median Absolute Deviation (MAD)13
Skewness-1.3950593
Sum114580
Variance615.66667
MonotonicityNot monotonic
2024-05-11T15:39:32.780326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4561 3
 
9.1%
4595 3
 
9.1%
4598 2
 
6.1%
4580 2
 
6.1%
4572 2
 
6.1%
4607 1
 
3.0%
4590 1
 
3.0%
4500 1
 
3.0%
4608 1
 
3.0%
4584 1
 
3.0%
Other values (8) 8
24.2%
(Missing) 8
24.2%
ValueCountFrequency (%)
4500 1
 
3.0%
4558 1
 
3.0%
4561 3
9.1%
4572 2
6.1%
4574 1
 
3.0%
4575 1
 
3.0%
4580 2
6.1%
4584 1
 
3.0%
4585 1
 
3.0%
4589 1
 
3.0%
ValueCountFrequency (%)
4624 1
 
3.0%
4619 1
 
3.0%
4608 1
 
3.0%
4607 1
 
3.0%
4599 1
 
3.0%
4598 2
6.1%
4595 3
9.1%
4590 1
 
3.0%
4589 1
 
3.0%
4585 1
 
3.0%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T15:39:33.094186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.1818182
Min length5

Characters and Unicode

Total characters270
Distinct characters95
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row문화동물병원
2nd row윤신근박사동물병원
3rd row바우미우동물병원
4th row황동물병원
5th row대한동물병원
ValueCountFrequency (%)
동물병원 4
 
10.0%
문화동물병원 1
 
2.5%
신당 1
 
2.5%
그녀의 1
 
2.5%
올댓동물병원 1
 
2.5%
바른동물병원 1
 
2.5%
한국양봉농협 1
 
2.5%
애니컴 1
 
2.5%
메디컬센터 1
 
2.5%
메종동물병원 1
 
2.5%
Other values (27) 27
67.5%
2024-05-11T15:39:33.683800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 32
 
11.9%
물 30
 
11.1%
병 23
 
8.5%
원 23
 
8.5%
터 8
 
3.0%
센 8
 
3.0%
7
 
2.6%
의 5
 
1.9%
스 5
 
1.9%
료 4
 
1.5%
Other values (85) 125
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
91.9%
Space Separator 7
 
2.6%
Uppercase Letter 5
 
1.9%
Decimal Number 4
 
1.5%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Lowercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
 
12.9%
물 30
 
12.1%
병 23
 
9.3%
원 23
 
9.3%
터 8
 
3.2%
센 8
 
3.2%
의 5
 
2.0%
스 5
 
2.0%
료 4
 
1.6%
웰 4
 
1.6%
Other values (76) 106
42.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
40.0%
S 2
40.0%
Z 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 2
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
91.9%
Common 15
 
5.6%
Latin 7
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
 
12.9%
물 30
 
12.1%
병 23
 
9.3%
원 23
 
9.3%
터 8
 
3.2%
센 8
 
3.2%
의 5
 
2.0%
스 5
 
2.0%
료 4
 
1.6%
웰 4
 
1.6%
Other values (76) 106
42.7%
Common
ValueCountFrequency (%)
7
46.7%
( 2
 
13.3%
) 2
 
13.3%
2 2
 
13.3%
4 2
 
13.3%
Latin
ValueCountFrequency (%)
D 2
28.6%
o 2
28.6%
S 2
28.6%
Z 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
91.9%
ASCII 22
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 32
 
12.9%
물 30
 
12.1%
병 23
 
9.3%
원 23
 
9.3%
터 8
 
3.2%
센 8
 
3.2%
의 5
 
2.0%
스 5
 
2.0%
료 4
 
1.6%
웰 4
 
1.6%
Other values (76) 106
42.7%
ASCII
ValueCountFrequency (%)
7
31.8%
( 2
 
9.1%
D 2
 
9.1%
) 2
 
9.1%
o 2
 
9.1%
2 2
 
9.1%
4 2
 
9.1%
S 2
 
9.1%
Z 1
 
4.5%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2004-01-17 13:45:12
Maximum2024-03-14 07:37:30
2024-05-11T15:39:33.921382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:34.175299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
U
25 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 25
75.8%
I 8
 
24.2%

Length

2024-05-11T15:39:34.427416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:34.594209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 25
75.8%
i 8
 
24.2%

데이터갱신일자
Date

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:06:00
2024-05-11T15:39:34.765147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:34.990765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)79.3%
Missing4
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean200638.31
Minimum196697.12
Maximum202131.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:39:35.545934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196697.12
5-th percentile197980
Q1200225.98
median200783.12
Q3201341.79
95-th percentile202073.38
Maximum202131.75
Range5434.6302
Interquartile range (IQR)1115.8092

Descriptive statistics

Standard deviation1289.8949
Coefficient of variation (CV)0.0064289561
Kurtosis4.1267659
Mean200638.31
Median Absolute Deviation (MAD)557.13647
Skewness-1.8233787
Sum5818510.9
Variance1663828.8
MonotonicityNot monotonic
2024-05-11T15:39:35.768932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
200225.983119633 3
 
9.1%
200750.455125653 3
 
9.1%
201823.908977364 2
 
6.1%
202131.747052459 2
 
6.1%
201985.829607973 1
 
3.0%
201341.792321443 1
 
3.0%
200640.466334248 1
 
3.0%
201116.224334562 1
 
3.0%
201866.039519433 1
 
3.0%
200738.834781589 1
 
3.0%
Other values (13) 13
39.4%
(Missing) 4
 
12.1%
ValueCountFrequency (%)
196697.116895888 1
 
3.0%
196864.942838297 1
 
3.0%
199652.596554208 1
 
3.0%
199655.746062675 1
 
3.0%
199768.512299332 1
 
3.0%
199930.85829926 1
 
3.0%
200225.983119633 3
9.1%
200640.466334248 1
 
3.0%
200738.834781589 1
 
3.0%
200750.455125653 3
9.1%
ValueCountFrequency (%)
202131.747052459 2
6.1%
201985.829607973 1
3.0%
201866.039519433 1
3.0%
201823.908977364 2
6.1%
201618.834979518 1
3.0%
201341.792321443 1
3.0%
201237.771149599 1
3.0%
201116.224334562 1
3.0%
201064.963697104 1
3.0%
200951.442477229 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)79.3%
Missing4
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean450860.19
Minimum449638.82
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:39:35.983492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile449638.82
Q1450226.83
median450916.71
Q3451330.48
95-th percentile451993.93
Maximum452076.82
Range2437.9944
Interquartile range (IQR)1103.6574

Descriptive statistics

Standard deviation704.26954
Coefficient of variation (CV)0.0015620575
Kurtosis-0.75505543
Mean450860.19
Median Absolute Deviation (MAD)594.55751
Skewness-0.15076189
Sum13074946
Variance495995.59
MonotonicityNot monotonic
2024-05-11T15:39:36.179087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
451511.262755282 3
 
9.1%
449638.824308081 3
 
9.1%
452076.818664092 2
 
6.1%
451330.482879118 2
 
6.1%
451869.587314453 1
 
3.0%
451246.571908878 1
 
3.0%
449978.493556843 1
 
3.0%
450780.455992585 1
 
3.0%
451543.337800303 1
 
3.0%
450184.310751221 1
 
3.0%
Other values (13) 13
39.4%
(Missing) 4
 
12.1%
ValueCountFrequency (%)
449638.824308081 3
9.1%
449978.493556843 1
 
3.0%
450153.784342829 1
 
3.0%
450184.310751221 1
 
3.0%
450217.095147509 1
 
3.0%
450226.825477041 1
 
3.0%
450438.308878994 1
 
3.0%
450512.123299752 1
 
3.0%
450649.69804319 1
 
3.0%
450779.720971036 1
 
3.0%
ValueCountFrequency (%)
452076.818664092 2
6.1%
451869.587314453 1
 
3.0%
451543.337800303 1
 
3.0%
451511.262755282 3
9.1%
451330.482879118 2
6.1%
451246.571908878 1
 
3.0%
451121.344849729 1
 
3.0%
451086.874410496 1
 
3.0%
451071.022960139 1
 
3.0%
451038.891443622 1
 
3.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
17 
동물병원
16 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
51.5%
동물병원 16
48.5%

Length

2024-05-11T15:39:36.411225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:36.607438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
51.5%
동물병원 16
48.5%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
17 
000
15 
L00
 
1

Length

Max length4
Median length4
Mean length3.5151515
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
51.5%
000 15
45.5%
L00 1
 
3.0%

Length

2024-05-11T15:39:36.821956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:37.013078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
51.5%
000 15
45.5%
l00 1
 
3.0%

총인원
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
17 
0
16 

Length

Max length4
Median length4
Mean length2.5454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
51.5%
0 16
48.5%

Length

2024-05-11T15:39:37.227729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:37.415641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
51.5%
0 16
48.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0301000030100000101975000119750930<NA>3폐업2폐업20040117<NA><NA><NA>2238-63060.0<NA>서울특별시 중구 신당동 370-58번지서울특별시 중구 다산로 145-1 (신당동)<NA>문화동물병원2004-01-17 13:45:12I2018-08-31 23:59:59.0<NA>200951.442477450512.1233동물병원<NA><NA>0000
1301000030100000101990000119900925<NA>1영업/정상0정상<NA><NA><NA><NA>2274-85580.0<NA>서울특별시 중구 필동2가 53서울특별시 중구 퇴계로 226 (필동2가)4624윤신근박사동물병원2022-07-05 16:43:28U2021-12-07 00:07:00.0<NA>199652.596554451038.891444<NA><NA><NA><NA><NA>
2301000030100000101992000119920212<NA>1영업/정상0정상<NA><NA><NA><NA>2237-3366306.0<NA>서울특별시 중구 신당동 336-3 명덕빌딩서울특별시 중구 다산로 175, 명덕빌딩 (신당동)4608바우미우동물병원2022-07-05 16:49:09U2021-12-07 00:07:00.0<NA>201064.963697450779.720971<NA><NA><NA><NA><NA>
3301000030100000101995000119950512<NA>1영업/정상0정상<NA><NA><NA><NA>2278-00750.0<NA>서울특별시 중구 묵정동 32-1서울특별시 중구 퇴계로 254-1 (묵정동)4619황동물병원2022-07-05 16:42:41U2021-12-07 00:07:00.0<NA>199930.858299451121.34485<NA><NA><NA><NA><NA>
4301000030100000101995000219950802<NA>1영업/정상0정상<NA><NA><NA><NA>2263-61340.0<NA>서울특별시 중구 충무로4가 93-1서울특별시 중구 퇴계로 227 (충무로4가)4558대한동물병원2022-07-05 16:47:54U2021-12-07 00:07:00.0<NA>199655.746063451086.87441<NA><NA><NA><NA><NA>
5301000030100000101998000119981207<NA>3폐업2폐업20080103<NA><NA><NA>2263-83880.0<NA>서울특별시 중구 충무로5가 76-2번지서울특별시 중구 퇴계로 238 (충무로5가)<NA>동국동물병원2008-01-03 13:11:04I2018-08-31 23:59:59.0<NA>199768.512299451071.02296동물병원<NA><NA>0000
6301000030100000102000000120000526<NA>3폐업2폐업20040520<NA><NA><NA>2234-75820.0<NA>서울특별시 중구 신당동 36-93번지<NA><NA>푸른약수동물병원2004-05-20 09:08:28I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0000
7301000030100000102000000220020810<NA>1영업/정상0정상<NA><NA><NA><NA>2256-82750.0<NA>서울특별시 중구 신당동 844 남산타운서울특별시 중구 다산로 32, 5상가동 217호 (신당동, 남산타운)4595남산동물병원2022-07-05 16:48:46U2021-12-07 00:07:00.0<NA>200750.455126449638.824308<NA><NA><NA><NA><NA>
8301000030100000102000000320020830<NA>3폐업2폐업20090803<NA><NA><NA>2231-93880.0<NA>서울특별시 중구 신당동 294-63번지<NA><NA>청구동물병원2009-08-03 16:54:51I2018-08-31 23:59:59.0<NA>201237.77115450865.521834동물병원<NA><NA>0000
9301000030100000102001000120011226<NA>1영업/정상0정상<NA><NA><NA><NA>2233-7574242.41<NA>서울특별시 중구 신당동 368-19서울특별시 중구 다산로 107, 2층 (신당동)4598미래지동물의료센터2022-07-05 16:48:21U2021-12-07 00:07:00.0<NA>200783.11959450153.784343<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
2330100003010000010201900032019-04-01<NA>1영업/정상0정상<NA><NA><NA><NA>02-2232-9702144.0<NA>서울특별시 중구 신당동 353-130서울특별시 중구 다산로 83-1, 3층 (신당동)4599애니컴 메디컬센터2023-11-24 15:30:35U2022-10-31 22:06:00.0<NA>200640.466334449978.493557<NA><NA><NA><NA><NA>
24301000030100000102019000420190513<NA>1영업/정상0정상<NA><NA><NA><NA>02-2038-755591.0<NA>서울특별시 중구 신당동 102-6번지서울특별시 중구 다산로 230, 하나빌딩 1층 (신당동)4585메종동물병원2019-05-13 09:02:06I2019-05-15 02:21:01.0<NA>201341.792321451246.571909동물병원<NA><NA>0000
25301000030100000102019000520190620<NA>1영업/정상0정상<NA><NA><NA><NA>02-2234-758552.89<NA>서울특별시 중구 황학동 2545 롯데캐슬베네치아서울특별시 중구 청계천로 400, 지하 1층 (황학동, 롯데캐슬베네치아)4572웰니스클리닉(청계천점)2022-12-29 18:12:26U2021-11-01 21:01:00.0<NA>201823.908977452076.818664<NA><NA><NA><NA><NA>
2630100003010000010201900062019-08-01<NA>1영업/정상0정상<NA><NA><NA><NA>02-6965-75020.0<NA>서울특별시 중구 을지로5가 133-1 뉴천지관광호텔서울특별시 중구 을지로38길 20, 뉴천지관광호텔 2층 (을지로5가)4561헬릭스동물심장수술센터2023-06-19 18:21:07U2022-12-05 22:01:00.0<NA>200225.98312451511.262755<NA><NA><NA><NA><NA>
2730100003010000010201900072019-08-01<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-75020.0<NA>서울특별시 중구 을지로5가 133-1 뉴천지관광호텔서울특별시 중구 을지로38길 20, 뉴천지관광호텔 1층 (을지로5가)4561헬릭스동물암센터2023-06-19 17:15:18U2022-12-05 22:01:00.0<NA>200225.98312451511.262755<NA><NA><NA><NA><NA>
2830100003010000010201900082019-08-01<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-75020.0<NA>서울특별시 중구 을지로5가 133-1 뉴천지관광호텔서울특별시 중구 을지로38길 20, 뉴천지관광호텔 1층 (을지로5가)4561서울동물영상종양센터2023-05-11 14:05:06U2022-12-04 23:03:00.0<NA>200225.98312451511.262755<NA><NA><NA><NA><NA>
2930100003010000010202000012020-06-25<NA>1영업/정상0정상<NA><NA><NA><NA>02-2253-22330.0<NA>서울특별시 중구 황학동 1596서울특별시 중구 난계로 197, 1,2,4층 (황학동)4574웰튼동물의료센터2024-03-14 07:37:30U2023-12-02 23:06:00.0<NA>201985.829608451869.587314<NA><NA><NA><NA><NA>
3030100003010000010202100012021-11-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중구 신당동 855 신당 파인힐 하나유보라서울특별시 중구 왕십리로 407, B1-1호 (신당동, 신당 파인힐 하나유보라)458024시SD동물영상의료센터2023-10-23 13:34:30U2022-10-30 22:05:00.0<NA>202131.747052451330.482879<NA><NA><NA><NA><NA>
3130100003010000010202100022021-11-17<NA>1영업/정상0정상<NA><NA><NA><NA>02-2039-03030.0<NA>서울특별시 중구 신당동 855 신당 파인힐 하나유보라서울특별시 중구 왕십리로 407, 신당 파인힐 하나유보라 B1층 03,04,05호 (신당동, 신당 파인힐 하나유보라)458024시SD동물의료센터성동2023-10-31 16:47:35U2022-11-01 00:02:00.0<NA>202131.747052451330.482879<NA><NA><NA><NA><NA>
3230100003010000010202300012023-02-22<NA>1영업/정상0정상<NA><NA><NA><NA>02-2237-7582118.8<NA>서울특별시 중구 신당동 844 남산타운서울특별시 중구 다산로 32, 스포츠상가동 106-2호 (신당동, 남산타운)4595힐스타운 동물병원2024-01-18 10:44:20U2023-11-30 22:00:00.0<NA>200750.455126449638.824308<NA><NA><NA><NA><NA>