Overview

Dataset statistics

Number of variables30
Number of observations51
Missing cells421
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory260.6 B

Variable types

Categorical11
Numeric6
DateTime2
Unsupported7
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16496/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (86.1%)Imbalance
총인원 is highly imbalanced (86.1%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 29 (56.9%) missing valuesMissing
휴업시작일자 has 51 (100.0%) missing valuesMissing
휴업종료일자 has 51 (100.0%) missing valuesMissing
전화번호 has 1 (2.0%) missing valuesMissing
소재지면적 has 1 (2.0%) missing valuesMissing
소재지우편번호 has 51 (100.0%) missing valuesMissing
지번주소 has 1 (2.0%) missing valuesMissing
도로명주소 has 12 (23.5%) missing valuesMissing
도로명우편번호 has 12 (23.5%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
좌표정보(X) has 4 (7.8%) missing valuesMissing
좌표정보(Y) has 4 (7.8%) missing valuesMissing
축산물가공업구분명 has 51 (100.0%) missing valuesMissing
축산일련번호 has 51 (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
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 18 (35.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:03:01.877618
Analysis finished2024-04-29 19:03:02.500987
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3050000
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 51
100.0%

Length

2024-04-30T04:03:02.573142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:02.651129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 51
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05 × 1017
Minimum3.05 × 1017
Maximum3.05 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-30T04:03:02.742730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.05 × 1017
5-th percentile3.05 × 1017
Q13.05 × 1017
median3.05 × 1017
Q33.05 × 1017
95-th percentile3.05 × 1017
Maximum3.05 × 1017
Range570000
Interquartile range (IQR)100032

Descriptive statistics

Standard deviation102622.37
Coefficient of variation (CV)3.3646679 × 10-13
Kurtosis3.9307285
Mean3.05 × 1017
Median Absolute Deviation (MAD)69952
Skewness-1.3664763
Sum-2.891744 × 1018
Variance1.0531351 × 1010
MonotonicityStrictly increasing
2024-04-30T04:03:02.865260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
305000001019660001 1
 
2.0%
305000001019900001 1
 
2.0%
305000001020100001 1
 
2.0%
305000001020110001 1
 
2.0%
305000001020120001 1
 
2.0%
305000001020130001 1
 
2.0%
305000001020130002 1
 
2.0%
305000001020130003 1
 
2.0%
305000001020130004 1
 
2.0%
305000001020130005 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
305000001019660001 1
2.0%
305000001019900001 1
2.0%
305000001019900002 1
2.0%
305000001019910001 1
2.0%
305000001019920001 1
2.0%
305000001019970001 1
2.0%
305000001019980001 1
2.0%
305000001019990001 1
2.0%
305000001019990002 1
2.0%
305000001019990003 1
2.0%
ValueCountFrequency (%)
305000001020230001 1
2.0%
305000001020220001 1
2.0%
305000001020210001 1
2.0%
305000001020200002 1
2.0%
305000001020200001 1
2.0%
305000001020180001 1
2.0%
305000001020170003 1
2.0%
305000001020170002 1
2.0%
305000001020170001 1
2.0%
305000001020160002 1
2.0%

인허가일자
Date

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum1966-02-21 00:00:00
Maximum2023-09-21 00:00:00
2024-04-30T04:03:02.986291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:03:03.093755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
29 
3
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
56.9%
3 22
43.1%

Length

2024-04-30T04:03:03.208368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:03.284420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
56.9%
3 22
43.1%

영업상태명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업/정상
29 
폐업
22 

Length

Max length5
Median length5
Mean length3.7058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
56.9%
폐업 22
43.1%

Length

2024-04-30T04:03:03.385476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:03.465972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
56.9%
폐업 22
43.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
29 
2
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
56.9%
2 22
43.1%

Length

2024-04-30T04:03:03.550699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:03.644127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
56.9%
2 22
43.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
정상
29 
폐업
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 29
56.9%
폐업 22
43.1%

Length

2024-04-30T04:03:03.734336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:03.826571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 29
56.9%
폐업 22
43.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing29
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean20134746
Minimum20060725
Maximum20200504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-30T04:03:03.917148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060725
5-th percentile20061404
Q120100242
median20140518
Q320170191
95-th percentile20199151
Maximum20200504
Range139779
Interquartile range (IQR)69948.75

Descriptive statistics

Standard deviation44545.098
Coefficient of variation (CV)0.0022123497
Kurtosis-1.0745689
Mean20134746
Median Absolute Deviation (MAD)30593.5
Skewness-0.35742672
Sum4.4296441 × 108
Variance1.9842657 × 109
MonotonicityNot monotonic
2024-04-30T04:03:04.023335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20161231 2
 
3.9%
20121214 1
 
2.0%
20171106 1
 
2.0%
20200131 1
 
2.0%
20170112 1
 
2.0%
20140522 1
 
2.0%
20130331 1
 
2.0%
20070702 1
 
2.0%
20060915 1
 
2.0%
20140514 1
 
2.0%
Other values (11) 11
 
21.6%
(Missing) 29
56.9%
ValueCountFrequency (%)
20060725 1
2.0%
20060915 1
2.0%
20070702 1
2.0%
20070706 1
2.0%
20090709 1
2.0%
20100217 1
2.0%
20100317 1
2.0%
20121214 1
2.0%
20130331 1
2.0%
20130523 1
2.0%
ValueCountFrequency (%)
20200504 1
2.0%
20200131 1
2.0%
20180531 1
2.0%
20171117 1
2.0%
20171106 1
2.0%
20170217 1
2.0%
20170112 1
2.0%
20161231 2
3.9%
20160831 1
2.0%
20140522 1
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
20130523
 
1

Length

Max length8
Median length4
Mean length4.0784314
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
20130523 1
 
2.0%

Length

2024-04-30T04:03:04.134445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:04.222302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
20130523 1
 
2.0%

전화번호
Text

MISSING 

Distinct47
Distinct (%)94.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2024-04-30T04:03:04.387398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.74
Min length8

Characters and Unicode

Total characters537
Distinct characters12
Distinct categories3 ?
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 (%)88.0%

Sample

1st row2212-3075
2nd row923-5291
3rd row02-2244-7755
4th row2246-4993
5th row969-6550
ValueCountFrequency (%)
02-2212-7596 2
 
4.0%
02-2215-7522 2
 
4.0%
02-2213-0075 2
 
4.0%
02-3394-7075 1
 
2.0%
3707-1582 1
 
2.0%
02-2234-1379 1
 
2.0%
0262170202 1
 
2.0%
2212-3075 1
 
2.0%
02-6242-7500 1
 
2.0%
2115-1960 1
 
2.0%
Other values (37) 37
74.0%
2024-04-30T04:03:04.711132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 132
24.6%
- 82
15.3%
0 65
12.1%
7 48
 
8.9%
5 47
 
8.8%
9 37
 
6.9%
1 34
 
6.3%
4 28
 
5.2%
6 24
 
4.5%
3 24
 
4.5%
Other values (2) 16
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 454
84.5%
Dash Punctuation 82
 
15.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 132
29.1%
0 65
14.3%
7 48
 
10.6%
5 47
 
10.4%
9 37
 
8.1%
1 34
 
7.5%
4 28
 
6.2%
6 24
 
5.3%
3 24
 
5.3%
8 15
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 132
24.6%
- 82
15.3%
0 65
12.1%
7 48
 
8.9%
5 47
 
8.8%
9 37
 
6.9%
1 34
 
6.3%
4 28
 
5.2%
6 24
 
4.5%
3 24
 
4.5%
Other values (2) 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 132
24.6%
- 82
15.3%
0 65
12.1%
7 48
 
8.9%
5 47
 
8.8%
9 37
 
6.9%
1 34
 
6.3%
4 28
 
5.2%
6 24
 
4.5%
3 24
 
4.5%
Other values (2) 16
 
3.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)64.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean55.6162
Minimum0
Maximum552.09
Zeros18
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-30T04:03:04.822817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30.555
Q359.895
95-th percentile199.026
Maximum552.09
Range552.09
Interquartile range (IQR)59.895

Descriptive statistics

Standard deviation95.697813
Coefficient of variation (CV)1.7206823
Kurtosis16.034866
Mean55.6162
Median Absolute Deviation (MAD)30.555
Skewness3.7057134
Sum2780.81
Variance9158.0714
MonotonicityNot monotonic
2024-04-30T04:03:04.930065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 18
35.3%
59.4 2
 
3.9%
25.0 1
 
2.0%
49.5 1
 
2.0%
47.85 1
 
2.0%
44.44 1
 
2.0%
27.81 1
 
2.0%
57.39 1
 
2.0%
41.8 1
 
2.0%
45.0 1
 
2.0%
Other values (22) 22
43.1%
ValueCountFrequency (%)
0.0 18
35.3%
20.49 1
 
2.0%
21.3 1
 
2.0%
23.28 1
 
2.0%
25.0 1
 
2.0%
25.79 1
 
2.0%
26.0 1
 
2.0%
27.81 1
 
2.0%
33.3 1
 
2.0%
41.8 1
 
2.0%
ValueCountFrequency (%)
552.09 1
2.0%
348.0 1
2.0%
256.5 1
2.0%
128.78 1
2.0%
94.3 1
2.0%
92.16 1
2.0%
90.0 1
2.0%
87.4 1
2.0%
85.0 1
2.0%
83.2 1
2.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지번주소
Text

MISSING 

Distinct49
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2024-04-30T04:03:05.129058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.16
Min length18

Characters and Unicode

Total characters1208
Distinct characters69
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row서울특별시 동대문구 답십리동 472-5 번지
2nd row서울특별시 동대문구 용두동 100-5번지
3rd row서울특별시 동대문구 휘경동 34-48번지
4th row서울특별시 동대문구 장안동 294-13번지
5th row서울특별시 동대문구 청량리동 376번지
ValueCountFrequency (%)
서울특별시 50
22.8%
동대문구 50
22.8%
장안동 16
 
7.3%
답십리동 10
 
4.6%
용두동 6
 
2.7%
이문동 5
 
2.3%
청량리동 4
 
1.8%
1층 4
 
1.8%
번지 4
 
1.8%
전농동 4
 
1.8%
Other values (61) 66
30.1%
2024-04-30T04:03:05.603890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
17.9%
동 101
 
8.4%
문 55
 
4.6%
대 52
 
4.3%
서 50
 
4.1%
특 50
 
4.1%
별 50
 
4.1%
시 50
 
4.1%
구 50
 
4.1%
울 50
 
4.1%
Other values (59) 484
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
60.6%
Space Separator 216
 
17.9%
Decimal Number 214
 
17.7%
Dash Punctuation 44
 
3.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 101
13.8%
문 55
 
7.5%
대 52
 
7.1%
서 50
 
6.8%
특 50
 
6.8%
별 50
 
6.8%
시 50
 
6.8%
구 50
 
6.8%
울 50
 
6.8%
지 39
 
5.3%
Other values (45) 185
25.3%
Decimal Number
ValueCountFrequency (%)
3 36
16.8%
2 34
15.9%
1 30
14.0%
0 22
10.3%
4 21
9.8%
6 19
8.9%
5 17
7.9%
7 15
7.0%
8 11
 
5.1%
9 9
 
4.2%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
60.6%
Common 476
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 101
13.8%
문 55
 
7.5%
대 52
 
7.1%
서 50
 
6.8%
특 50
 
6.8%
별 50
 
6.8%
시 50
 
6.8%
구 50
 
6.8%
울 50
 
6.8%
지 39
 
5.3%
Other values (45) 185
25.3%
Common
ValueCountFrequency (%)
216
45.4%
- 44
 
9.2%
3 36
 
7.6%
2 34
 
7.1%
1 30
 
6.3%
0 22
 
4.6%
4 21
 
4.4%
6 19
 
4.0%
5 17
 
3.6%
7 15
 
3.2%
Other values (4) 22
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
60.6%
ASCII 476
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
45.4%
- 44
 
9.2%
3 36
 
7.6%
2 34
 
7.1%
1 30
 
6.3%
0 22
 
4.6%
4 21
 
4.4%
6 19
 
4.0%
5 17
 
3.6%
7 15
 
3.2%
Other values (4) 22
 
4.6%
Hangul
ValueCountFrequency (%)
동 101
13.8%
문 55
 
7.5%
대 52
 
7.1%
서 50
 
6.8%
특 50
 
6.8%
별 50
 
6.8%
시 50
 
6.8%
구 50
 
6.8%
울 50
 
6.8%
지 39
 
5.3%
Other values (45) 185
25.3%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing12
Missing (%)23.5%
Memory size540.0 B
2024-04-30T04:03:05.842105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length28.205128
Min length23

Characters and Unicode

Total characters1100
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row서울특별시 동대문구 망우로 120 (휘경동)
2nd row서울특별시 동대문구 사가정로 221 (장안동)
3rd row서울특별시 동대문구 한천로 94, 1층 (장안동)
4th row서울특별시 동대문구 전농로 77(답십리동)
5th row서울특별시 동대문구 이문로 80 (이문동)
ValueCountFrequency (%)
서울특별시 39
17.7%
동대문구 39
17.7%
장안동 12
 
5.5%
1층 11
 
5.0%
답십리로 8
 
3.6%
답십리동 7
 
3.2%
전농로 6
 
2.7%
용두동 5
 
2.3%
장한로 4
 
1.8%
사가정로 3
 
1.4%
Other values (67) 86
39.1%
2024-04-30T04:03:06.191652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
16.5%
동 82
 
7.5%
문 45
 
4.1%
대 41
 
3.7%
시 40
 
3.6%
서 39
 
3.5%
1 39
 
3.5%
특 39
 
3.5%
별 39
 
3.5%
구 39
 
3.5%
Other values (82) 516
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
61.6%
Space Separator 181
 
16.5%
Decimal Number 136
 
12.4%
Close Punctuation 39
 
3.5%
Open Punctuation 39
 
3.5%
Other Punctuation 20
 
1.8%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 82
 
12.1%
문 45
 
6.6%
대 41
 
6.0%
시 40
 
5.9%
서 39
 
5.8%
특 39
 
5.8%
별 39
 
5.8%
구 39
 
5.8%
울 39
 
5.8%
로 39
 
5.8%
Other values (67) 236
34.8%
Decimal Number
ValueCountFrequency (%)
1 39
28.7%
2 19
14.0%
4 16
11.8%
3 11
 
8.1%
8 11
 
8.1%
0 9
 
6.6%
7 9
 
6.6%
9 8
 
5.9%
5 7
 
5.1%
6 7
 
5.1%
Space Separator
ValueCountFrequency (%)
181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
61.6%
Common 422
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 82
 
12.1%
문 45
 
6.6%
대 41
 
6.0%
시 40
 
5.9%
서 39
 
5.8%
특 39
 
5.8%
별 39
 
5.8%
구 39
 
5.8%
울 39
 
5.8%
로 39
 
5.8%
Other values (67) 236
34.8%
Common
ValueCountFrequency (%)
181
42.9%
1 39
 
9.2%
) 39
 
9.2%
( 39
 
9.2%
, 20
 
4.7%
2 19
 
4.5%
4 16
 
3.8%
3 11
 
2.6%
8 11
 
2.6%
0 9
 
2.1%
Other values (5) 38
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
61.6%
ASCII 422
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
42.9%
1 39
 
9.2%
) 39
 
9.2%
( 39
 
9.2%
, 20
 
4.7%
2 19
 
4.5%
4 16
 
3.8%
3 11
 
2.6%
8 11
 
2.6%
0 9
 
2.1%
Other values (5) 38
 
9.0%
Hangul
ValueCountFrequency (%)
동 82
 
12.1%
문 45
 
6.6%
대 41
 
6.0%
시 40
 
5.9%
서 39
 
5.8%
특 39
 
5.8%
별 39
 
5.8%
구 39
 
5.8%
울 39
 
5.8%
로 39
 
5.8%
Other values (67) 236
34.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)74.4%
Missing12
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean2558.0769
Minimum2418
Maximum2643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-30T04:03:06.298623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2418
5-th percentile2458
Q12520.5
median2566
Q32605
95-th percentile2637.6
Maximum2643
Range225
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation60.317748
Coefficient of variation (CV)0.023579333
Kurtosis-0.67789089
Mean2558.0769
Median Absolute Deviation (MAD)43
Skewness-0.45655646
Sum99765
Variance3638.2308
MonotonicityNot monotonic
2024-04-30T04:03:06.393104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2523 3
 
5.9%
2643 2
 
3.9%
2529 2
 
3.9%
2566 2
 
3.9%
2637 2
 
3.9%
2605 2
 
3.9%
2600 2
 
3.9%
2484 2
 
3.9%
2578 2
 
3.9%
2507 1
 
2.0%
Other values (19) 19
37.3%
(Missing) 12
23.5%
ValueCountFrequency (%)
2418 1
 
2.0%
2440 1
 
2.0%
2460 1
 
2.0%
2474 1
 
2.0%
2484 2
3.9%
2496 1
 
2.0%
2501 1
 
2.0%
2507 1
 
2.0%
2518 1
 
2.0%
2523 3
5.9%
ValueCountFrequency (%)
2643 2
3.9%
2637 2
3.9%
2628 1
2.0%
2626 1
2.0%
2625 1
2.0%
2610 1
2.0%
2606 1
2.0%
2605 2
3.9%
2600 2
3.9%
2599 1
2.0%

사업장명
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-04-30T04:03:06.577127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.4509804
Min length5

Characters and Unicode

Total characters380
Distinct characters101
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)82.4%

Sample

1st row경동동물병원
2nd row성동동물병원
3rd row심재웅동물병원
4th row하니동물병원
5th row홍릉동물병원
ValueCountFrequency (%)
동물병원 4
 
6.9%
현대종합동물병원 3
 
5.2%
vip동물의료센터 2
 
3.4%
아인스동물병원 2
 
3.4%
우리동물병원 2
 
3.4%
동대문 2
 
3.4%
하이유 1
 
1.7%
더케이동물병원 1
 
1.7%
땅콩동물병원 1
 
1.7%
경동동물병원 1
 
1.7%
Other values (39) 39
67.2%
2024-04-30T04:03:06.896116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 56
14.7%
물 52
 
13.7%
원 49
 
12.9%
병 46
 
12.1%
종 8
 
2.1%
합 8
 
2.1%
7
 
1.8%
터 5
 
1.3%
대 5
 
1.3%
센 5
 
1.3%
Other values (91) 139
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
95.8%
Space Separator 7
 
1.8%
Uppercase Letter 6
 
1.6%
Decimal Number 2
 
0.5%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
15.4%
물 52
14.3%
원 49
 
13.5%
병 46
 
12.6%
종 8
 
2.2%
합 8
 
2.2%
터 5
 
1.4%
대 5
 
1.4%
센 5
 
1.4%
아 5
 
1.4%
Other values (84) 125
34.3%
Uppercase Letter
ValueCountFrequency (%)
V 2
33.3%
I 2
33.3%
P 2
33.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
95.8%
Common 10
 
2.6%
Latin 6
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
15.4%
물 52
14.3%
원 49
 
13.5%
병 46
 
12.6%
종 8
 
2.2%
합 8
 
2.2%
터 5
 
1.4%
대 5
 
1.4%
센 5
 
1.4%
아 5
 
1.4%
Other values (84) 125
34.3%
Common
ValueCountFrequency (%)
7
70.0%
- 1
 
10.0%
5 1
 
10.0%
2 1
 
10.0%
Latin
ValueCountFrequency (%)
V 2
33.3%
I 2
33.3%
P 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
95.8%
ASCII 16
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 56
15.4%
물 52
14.3%
원 49
 
13.5%
병 46
 
12.6%
종 8
 
2.2%
합 8
 
2.2%
터 5
 
1.4%
대 5
 
1.4%
센 5
 
1.4%
아 5
 
1.4%
Other values (84) 125
34.3%
ASCII
ValueCountFrequency (%)
7
43.8%
V 2
 
12.5%
I 2
 
12.5%
P 2
 
12.5%
- 1
 
6.2%
5 1
 
6.2%
2 1
 
6.2%

최종수정일자
Date

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2006-07-25 11:08:37
Maximum2024-04-25 15:59:14
2024-04-30T04:03:07.014736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:03:07.133219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
U
33 
I
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 33
64.7%
I 18
35.3%

Length

2024-04-30T04:03:07.248607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:07.336429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 33
64.7%
i 18
35.3%

데이터갱신일자
Categorical

Distinct20
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2018-08-31 23:59:59.0
17 
2019-03-09 02:40:00.0
14 
2020-01-11 02:40:00.0
2 
2019-04-11 02:40:00.0
2 
2021-03-10 02:40:00.0
 
1
Other values (15)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique16 ?
Unique (%)31.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-03-09 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 17
33.3%
2019-03-09 02:40:00.0 14
27.5%
2020-01-11 02:40:00.0 2
 
3.9%
2019-04-11 02:40:00.0 2
 
3.9%
2021-03-10 02:40:00.0 1
 
2.0%
2019-04-27 02:40:00.0 1
 
2.0%
2021-12-05 00:01:00.0 1
 
2.0%
2021-10-14 02:40:00.0 1
 
2.0%
2020-02-02 02:40:00.0 1
 
2.0%
2020-05-09 02:40:00.0 1
 
2.0%
Other values (10) 10
19.6%

Length

2024-04-30T04:03:07.424982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 24
23.5%
2018-08-31 17
16.7%
23:59:59.0 17
16.7%
2019-03-09 14
13.7%
2023-12-01 2
 
2.0%
2020-01-11 2
 
2.0%
2019-04-11 2
 
2.0%
2020-01-12 1
 
1.0%
00:23:25.0 1
 
1.0%
2022-12-05 1
 
1.0%
Other values (21) 21
20.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)91.5%
Missing4
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean204938.77
Minimum202042.82
Maximum206428.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-30T04:03:07.710805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202042.82
5-th percentile202582.27
Q1204433.66
median205129.37
Q3205891.95
95-th percentile206384.18
Maximum206428.35
Range4385.5302
Interquartile range (IQR)1458.2869

Descriptive statistics

Standard deviation1225.7974
Coefficient of variation (CV)0.0059812858
Kurtosis-0.22954125
Mean204938.77
Median Absolute Deviation (MAD)770.54169
Skewness-0.89355591
Sum9632122.2
Variance1502579.2
MonotonicityNot monotonic
2024-04-30T04:03:07.814703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
206384.176300093 3
 
5.9%
205883.994796584 2
 
3.9%
202907.824316761 2
 
3.9%
206086.591362203 1
 
2.0%
205631.56459772 1
 
2.0%
204938.606178613 1
 
2.0%
205982.759360923 1
 
2.0%
204313.869527831 1
 
2.0%
205899.907023899 1
 
2.0%
205911.321964079 1
 
2.0%
Other values (33) 33
64.7%
(Missing) 4
 
7.8%
ValueCountFrequency (%)
202042.817335648 1
2.0%
202296.946950935 1
2.0%
202523.469147286 1
2.0%
202719.456602603 1
2.0%
202907.824316761 2
3.9%
203085.866786086 1
2.0%
203254.520083136 1
2.0%
203775.346834306 1
2.0%
203783.105944899 1
2.0%
203823.018467941 1
2.0%
ValueCountFrequency (%)
206428.347543061 1
 
2.0%
206384.176300093 3
5.9%
206325.349431713 1
 
2.0%
206237.158132452 1
 
2.0%
206086.591362203 1
 
2.0%
206009.398083252 1
 
2.0%
205982.759360923 1
 
2.0%
205911.321964079 1
 
2.0%
205908.898385821 1
 
2.0%
205899.907023899 1
 
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)91.5%
Missing4
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean452725.32
Minimum451422.98
Maximum455714.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-30T04:03:07.915758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451422.98
5-th percentile451541.47
Q1452177
median452292.45
Q3453228.08
95-th percentile454540.16
Maximum455714.48
Range4291.502
Interquartile range (IQR)1051.0869

Descriptive statistics

Standard deviation1012.4184
Coefficient of variation (CV)0.0022362752
Kurtosis0.73395867
Mean452725.32
Median Absolute Deviation (MAD)550.47801
Skewness1.0934511
Sum21278090
Variance1024991
MonotonicityNot monotonic
2024-04-30T04:03:08.020624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
452248.684634996 3
 
5.9%
451422.978298566 2
 
3.9%
452848.317940005 2
 
3.9%
452959.773010702 1
 
2.0%
451925.907664051 1
 
2.0%
451837.810451383 1
 
2.0%
451734.237203662 1
 
2.0%
452538.14193671 1
 
2.0%
451571.351779533 1
 
2.0%
452287.844106267 1
 
2.0%
Other values (33) 33
64.7%
(Missing) 4
 
7.8%
ValueCountFrequency (%)
451422.978298566 2
3.9%
451528.662982457 1
2.0%
451571.351779533 1
2.0%
451594.33252299 1
2.0%
451603.138560719 1
2.0%
451734.237203662 1
2.0%
451837.810451383 1
2.0%
451925.907664051 1
2.0%
451983.572742918 1
2.0%
452050.921389104 1
2.0%
ValueCountFrequency (%)
455714.48034047 1
2.0%
455131.683241064 1
2.0%
454637.821983342 1
2.0%
454312.287025523 1
2.0%
454265.052245815 1
2.0%
454227.304386333 1
2.0%
454133.191843723 1
2.0%
453738.49406193 1
2.0%
453711.603342379 1
2.0%
453591.695526622 1
2.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
동물병원
42 
<NA>
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 42
82.4%
<NA> 9
 
17.6%

Length

2024-04-30T04:03:08.125252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:08.208372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 42
82.4%
na 9
 
17.6%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
000
41 
<NA>
9 
L00
 
1

Length

Max length4
Median length3
Mean length3.1764706
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 41
80.4%
<NA> 9
 
17.6%
L00 1
 
2.0%

Length

2024-04-30T04:03:08.290220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:08.373115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 41
80.4%
na 9
 
17.6%
l00 1
 
2.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-04-30T04:03:08.471309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:08.550195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0305000030500000101966000119660221<NA>3폐업2폐업20060725<NA><NA><NA>2212-307525.0<NA>서울특별시 동대문구 답십리동 472-5 번지<NA><NA>경동동물병원2006-07-25 11:08:37I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>000<NA>
1305000030500000101990000119900427<NA>3폐업2폐업20121214<NA><NA><NA>923-529120.49<NA>서울특별시 동대문구 용두동 100-5번지<NA><NA>성동동물병원2012-12-14 15:37:15I2018-08-31 23:59:59.0<NA>202907.824317452848.31794동물병원<NA><NA>000<NA>
2305000030500000101990000219900801<NA>1영업/정상0정상<NA><NA><NA><NA>02-2244-775526.0<NA>서울특별시 동대문구 휘경동 34-48번지서울특별시 동대문구 망우로 120 (휘경동)2501심재웅동물병원2019-03-07 11:05:24U2019-03-09 02:40:00.0<NA>205804.989007454312.287026동물병원<NA><NA>000<NA>
3305000030500000101991000119911219<NA>3폐업2폐업20100317<NA><NA><NA>2246-499360.06<NA>서울특별시 동대문구 장안동 294-13번지<NA><NA>하니동물병원2010-03-19 17:30:47I2018-08-31 23:59:59.0<NA>206009.398083452281.178561동물병원<NA><NA>000<NA>
4305000030500000101992000119920313<NA>3폐업2폐업20070706<NA><NA><NA>969-655021.3<NA>서울특별시 동대문구 청량리동 376번지<NA><NA>홍릉동물병원2007-07-06 11:05:34I2018-08-31 23:59:59.0<NA>203783.105945453711.603342동물병원<NA><NA>000<NA>
5305000030500000101997000119970509<NA>1영업/정상0정상<NA><NA><NA><NA>02-2244-747960.83<NA>서울특별시 동대문구 장안동 100-8번지서울특별시 동대문구 사가정로 221 (장안동)2518박철환동물병원2019-03-07 11:13:16U2019-03-09 02:40:00.0<NA>206086.591362452959.773011동물병원<NA><NA>000<NA>
6305000030500000101998000119980210<NA>1영업/정상0정상<NA><NA><NA><NA>02-2212-5233348.0<NA>서울특별시 동대문구 장안동 186-12번지서울특별시 동대문구 한천로 94, 1층 (장안동)2626뉴월드동물병원2019-04-25 09:26:03U2019-04-27 02:40:00.0<NA>205631.564598451925.907664동물병원<NA><NA>000<NA>
7305000030500000101999000119990414<NA>1영업/정상0정상<NA><NA><NA><NA>02-2214-61290.0<NA>서울특별시 동대문구 답십리동 250-1서울특별시 동대문구 전농로 77(답십리동)2599그랜드동물병원2022-04-29 10:18:34U2021-12-05 00:01:00.0<NA>204974.82971452169.781297<NA><NA><NA><NA><NA>
8305000030500000101999000219990818<NA>1영업/정상0정상<NA><NA><NA><NA>02-967-087723.28<NA>서울특별시 동대문구 이문동 324-3서울특별시 동대문구 이문로 80 (이문동)2440애니케어동물병원2021-10-12 11:08:19U2021-10-14 02:40:00.0<NA>205129.365336454637.821983동물병원<NA><NA>0000
9305000030500000101999000319990826<NA>1영업/정상0정상<NA><NA><NA><NA>02-963-758249.8<NA>서울특별시 동대문구 청량리동 359번지서울특별시 동대문구 홍릉로 48-1, 1층 (청량리동)2484푸른종합동물병원2020-01-09 11:18:54U2020-01-11 02:40:00.0<NA>203823.018468453587.70776동물병원<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
41305000030500000102016000220160824<NA>3폐업2폐업20171106<NA><NA><NA>02-2212-75960.0<NA><NA>서울특별시 동대문구 답십리로 293, 1층 (장안동)2523현대종합동물병원2017-11-06 15:14:05I2018-08-31 23:59:59.0<NA>206384.1763452248.684635동물병원<NA><NA>000<NA>
42305000030500000102017000120170323<NA>1영업/정상0정상<NA><NA><NA><NA>02-965-00750.0<NA>서울특별시 동대문구 이문동 292-10번지 이문동 웰츠타워서울특별시 동대문구 이문로 136, 2층 208호 (이문동, 이문동 웰츠타워)2418바론동물병원2019-06-26 09:35:52U2019-06-28 02:40:00.0<NA>205396.363734455131.683241동물병원<NA><NA>000<NA>
43305000030500000102017000220170802<NA>1영업/정상0정상<NA><NA><NA><NA>02-2213-88750.0<NA>서울특별시 동대문구 답십리동 1003-2번지 세기프라자서울특별시 동대문구 답십리로 140, 세기프라자 2층 211호 (답십리동)2598더케이동물병원2019-03-07 11:16:08U2019-03-09 02:40:00.0<NA>204845.874286452243.876954동물병원<NA><NA>000<NA>
4430500003050000010201700032017-11-06<NA>1영업/정상0정상<NA><NA><NA><NA>02-2212-75960.0<NA>서울특별시 동대문구 장안동 330-2서울특별시 동대문구 답십리로 293, 1층 (장안동)2523현대종합동물병원2024-01-17 14:56:37U2023-11-30 22:00:00.0<NA>206384.1763452248.684635<NA><NA><NA><NA><NA>
45305000030500000102018000120180614<NA>1영업/정상0정상<NA><NA><NA><NA>02-2242-751059.04<NA>서울특별시 동대문구 답십리동 490-57번지서울특별시 동대문구 전농로 15-3 (답십리동)2605하이유 동물병원2019-03-07 11:14:41U2019-03-09 02:40:00.0<NA>204869.688144451594.332523동물병원<NA><NA>000<NA>
46305000030500000102020000120200110<NA>1영업/정상0정상<NA><NA><NA><NA>02-2213-0075128.78<NA>서울특별시 동대문구 장안동 435-6번지서울특별시 동대문구 장한로 44, 1층 (장안동)2643아인스동물병원2020-01-10 13:12:44I2020-01-12 00:23:25.0<NA>205883.994797451422.978299동물병원<NA><NA>000<NA>
4730500003050000010202000022020-09-16<NA>1영업/정상0정상<NA><NA><NA><NA>02-2217-89300.0<NA>서울특별시 동대문구 답십리동 52-3서울특별시 동대문구 전농로 80, 1층 (답십리동)2606아이원 동물병원2023-06-26 16:28:07U2022-12-05 22:08:00.0<NA>205018.210433452185.824073<NA><NA><NA><NA><NA>
4830500003050000010202100012021-05-07<NA>1영업/정상0정상<NA><NA><NA><NA>02-3394-70750.0<NA>서울특별시 동대문구 답십리동 3-125서울특별시 동대문구 답십리로 224-1 (답십리동)2610땅콩동물병원2024-02-27 09:12:28U2023-12-01 22:09:00.0<NA>205696.046347452256.6485<NA><NA><NA><NA><NA>
49305000030500000102022000120220426<NA>1영업/정상0정상<NA><NA><NA><NA>0262170202<NA><NA>서울특별시 동대문구 답십리동 259-22서울특별시 동대문구 전농로 57-1, 1층,2층,지하1층 동대문 루시드 동물메디컬센터 (답십리동)2600동대문 루시드 동물메디컬센터2022-08-19 16:17:06U2021-12-07 22:01:00.0<NA>204958.89077451983.572743<NA><NA><NA><NA><NA>
5030500003050000010202300012023-09-21<NA>1영업/정상0정상<NA><NA><NA><NA>02-921-2413552.09<NA>서울특별시 동대문구 용두동 726-1서울특별시 동대문구 무학로 201 (용두동)2578서울동물복지지원센터 동대문 동물병원2024-02-14 14:16:05U2023-12-01 23:06:00.0<NA>202523.469147453317.110098<NA><NA><NA><NA><NA>