Overview

Dataset statistics

Number of variables30
Number of observations42
Missing cells382
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory262.1 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16499/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 26 (61.9%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 2 (4.8%) missing valuesMissing
소재지우편번호 has 42 (100.0%) missing valuesMissing
도로명주소 has 3 (7.1%) missing valuesMissing
도로명우편번호 has 9 (21.4%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
좌표정보(X) has 3 (7.1%) missing valuesMissing
좌표정보(Y) has 3 (7.1%) missing valuesMissing
축산물가공업구분명 has 42 (100.0%) missing valuesMissing
축산일련번호 has 42 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 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 18 (42.9%) zerosZeros

Reproduction

Analysis started2024-04-06 12:31:44.710441
Analysis finished2024-04-06 12:31:45.366041
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3080000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 42
100.0%

Length

2024-04-06T21:31:45.487072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:45.746763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 42
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.08 × 1017
Minimum3.08 × 1017
Maximum3.08 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:31:45.945543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.08 × 1017
5-th percentile3.08 × 1017
Q13.08 × 1017
median3.08 × 1017
Q33.08 × 1017
95-th percentile3.08 × 1017
Maximum3.08 × 1017
Range340000
Interquartile range (IQR)127488

Descriptive statistics

Standard deviation86133.564
Coefficient of variation (CV)2.7965443 × 10-13
Kurtosis-0.69745272
Mean3.08 × 1017
Median Absolute Deviation (MAD)49984
Skewness0.11612318
Sum-5.510744 × 1018
Variance7.4189909 × 109
MonotonicityStrictly increasing
2024-04-06T21:31:46.235673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
308000001019880001 1
 
2.4%
308000001020150002 1
 
2.4%
308000001020070001 1
 
2.4%
308000001020080001 1
 
2.4%
308000001020090001 1
 
2.4%
308000001020090002 1
 
2.4%
308000001020100001 1
 
2.4%
308000001020130001 1
 
2.4%
308000001020140001 1
 
2.4%
308000001020150001 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
308000001019880001 1
2.4%
308000001019920001 1
2.4%
308000001019930001 1
2.4%
308000001019950001 1
2.4%
308000001019970001 1
2.4%
308000001019980001 1
2.4%
308000001019990001 1
2.4%
308000001019990002 1
2.4%
308000001020020001 1
2.4%
308000001020020002 1
2.4%
ValueCountFrequency (%)
308000001020220001 1
2.4%
308000001020210002 1
2.4%
308000001020210001 1
2.4%
308000001020190002 1
2.4%
308000001020190001 1
2.4%
308000001020180001 1
2.4%
308000001020170002 1
2.4%
308000001020170001 1
2.4%
308000001020160001 1
2.4%
308000001020150002 1
2.4%

인허가일자
Date

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1988-09-03 00:00:00
Maximum2022-06-29 00:00:00
2024-04-06T21:31:46.558894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:31:46.828167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
26 
3
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
61.9%
3 16
38.1%

Length

2024-04-06T21:31:47.076451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:47.655548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
61.9%
3 16
38.1%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
26 
폐업
16 

Length

Max length5
Median length5
Mean length3.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 26
61.9%
폐업 16
38.1%

Length

2024-04-06T21:31:47.949956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:48.223724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 26
61.9%
폐업 16
38.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
26 
2
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
61.9%
2 16
38.1%

Length

2024-04-06T21:31:48.457175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:48.662005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
61.9%
2 16
38.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
정상
26 
폐업
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 26
61.9%
폐업 16
38.1%

Length

2024-04-06T21:31:48.871018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:49.053558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 26
61.9%
폐업 16
38.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing26
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean20118128
Minimum20040302
Maximum20221226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:31:49.245924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040302
5-th percentile20040622
Q120058222
median20105558
Q320180335
95-th percentile20198124
Maximum20221226
Range180924
Interquartile range (IQR)122112.75

Descriptive statistics

Standard deviation64436.088
Coefficient of variation (CV)0.0032028869
Kurtosis-1.6760373
Mean20118128
Median Absolute Deviation (MAD)64683.5
Skewness0.1355703
Sum3.2189005 × 108
Variance4.1520094 × 109
MonotonicityNot monotonic
2024-04-06T21:31:49.487857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20180313 1
 
2.4%
20190101 1
 
2.4%
20221226 1
 
2.4%
20180402 1
 
2.4%
20190424 1
 
2.4%
20120410 1
 
2.4%
20090706 1
 
2.4%
20051021 1
 
2.4%
20040302 1
 
2.4%
20150817 1
 
2.4%
Other values (6) 6
 
14.3%
(Missing) 26
61.9%
ValueCountFrequency (%)
20040302 1
2.4%
20040729 1
2.4%
20041020 1
2.4%
20051021 1
2.4%
20060623 1
2.4%
20070330 1
2.4%
20090415 1
2.4%
20090706 1
2.4%
20120410 1
2.4%
20150817 1
2.4%
ValueCountFrequency (%)
20221226 1
2.4%
20190424 1
2.4%
20190101 1
2.4%
20180402 1
2.4%
20180313 1
2.4%
20171207 1
2.4%
20150817 1
2.4%
20120410 1
2.4%
20090706 1
2.4%
20090415 1
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing2
Missing (%)4.8%
Memory size468.0 B
2024-04-06T21:31:49.933193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.35
Min length8

Characters and Unicode

Total characters374
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

Unique38 ?
Unique (%)95.0%

Sample

1st row980-7141
2nd row989-9552
3rd row945-0075
4th row982-8698
5th row907-1565
ValueCountFrequency (%)
02-941-7900 2
 
5.0%
02-984-7588 1
 
2.5%
02-987-7588 1
 
2.5%
985-7525 1
 
2.5%
980-2340 1
 
2.5%
02-989-8275 1
 
2.5%
903-5525 1
 
2.5%
988-6543 1
 
2.5%
02-986-9875 1
 
2.5%
02)946-0011 1
 
2.5%
Other values (29) 29
72.5%
2024-04-06T21:31:50.567100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 62
16.6%
- 56
15.0%
0 52
13.9%
8 49
13.1%
2 32
8.6%
5 32
8.6%
7 28
7.5%
1 19
 
5.1%
4 15
 
4.0%
6 14
 
3.7%
Other values (2) 15
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 317
84.8%
Dash Punctuation 56
 
15.0%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 62
19.6%
0 52
16.4%
8 49
15.5%
2 32
10.1%
5 32
10.1%
7 28
8.8%
1 19
 
6.0%
4 15
 
4.7%
6 14
 
4.4%
3 14
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 62
16.6%
- 56
15.0%
0 52
13.9%
8 49
13.1%
2 32
8.6%
5 32
8.6%
7 28
7.5%
1 19
 
5.1%
4 15
 
4.0%
6 14
 
3.7%
Other values (2) 15
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 62
16.6%
- 56
15.0%
0 52
13.9%
8 49
13.1%
2 32
8.6%
5 32
8.6%
7 28
7.5%
1 19
 
5.1%
4 15
 
4.0%
6 14
 
3.7%
Other values (2) 15
 
4.0%

소재지면적
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.336429
Minimum0
Maximum622.9
Zeros18
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:31:50.814479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median26.145
Q359.795
95-th percentile216.6705
Maximum622.9
Range622.9
Interquartile range (IQR)59.795

Descriptive statistics

Standard deviation130.6029
Coefficient of variation (CV)1.9989293
Kurtosis12.202827
Mean65.336429
Median Absolute Deviation (MAD)26.145
Skewness3.4261368
Sum2744.13
Variance17057.118
MonotonicityNot monotonic
2024-04-06T21:31:51.061052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 18
42.9%
28.49 1
 
2.4%
51.1 1
 
2.4%
203.0 1
 
2.4%
108.0 1
 
2.4%
217.39 1
 
2.4%
36.44 1
 
2.4%
77.4 1
 
2.4%
23.8 1
 
2.4%
42.34 1
 
2.4%
Other values (15) 15
35.7%
ValueCountFrequency (%)
0.0 18
42.9%
21.73 1
 
2.4%
23.6 1
 
2.4%
23.8 1
 
2.4%
28.49 1
 
2.4%
36.44 1
 
2.4%
40.92 1
 
2.4%
42.34 1
 
2.4%
46.17 1
 
2.4%
46.65 1
 
2.4%
ValueCountFrequency (%)
622.9 1
2.4%
562.43 1
2.4%
217.39 1
2.4%
203.0 1
2.4%
166.3 1
2.4%
108.0 1
2.4%
77.4 1
2.4%
76.0 1
2.4%
69.36 1
2.4%
62.0 1
2.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

지번주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T21:31:51.647470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32.5
Mean length26.214286
Min length18

Characters and Unicode

Total characters1101
Distinct characters74
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 미아동 70-26 번지
2nd row서울특별시 강북구 미아동 734-258 백운M빌딩
3rd row서울특별시 강북구 수유동 70-4 번지
4th row서울특별시 강북구 미아동 98-39번지
5th row서울특별시 강북구 수유동 47-69
ValueCountFrequency (%)
서울특별시 42
19.8%
강북구 42
19.8%
미아동 25
 
11.8%
수유동 12
 
5.7%
1층 5
 
2.4%
번동 4
 
1.9%
번지 3
 
1.4%
덕신빌딩 2
 
0.9%
4층 2
 
0.9%
561-2 2
 
0.9%
Other values (70) 73
34.4%
2024-04-06T21:31:52.383495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
18.6%
1 55
 
5.0%
동 47
 
4.3%
북 43
 
3.9%
시 43
 
3.9%
서 42
 
3.8%
울 42
 
3.8%
구 42
 
3.8%
강 42
 
3.8%
별 42
 
3.8%
Other values (64) 498
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
56.2%
Decimal Number 232
 
21.1%
Space Separator 205
 
18.6%
Dash Punctuation 38
 
3.5%
Other Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
 
7.6%
북 43
 
6.9%
시 43
 
6.9%
서 42
 
6.8%
울 42
 
6.8%
구 42
 
6.8%
강 42
 
6.8%
별 42
 
6.8%
특 42
 
6.8%
번 30
 
4.8%
Other values (47) 204
33.0%
Decimal Number
ValueCountFrequency (%)
1 55
23.7%
2 35
15.1%
3 26
11.2%
4 21
 
9.1%
0 20
 
8.6%
7 18
 
7.8%
9 16
 
6.9%
8 15
 
6.5%
6 14
 
6.0%
5 12
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
56.2%
Common 478
43.4%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
 
7.6%
북 43
 
6.9%
시 43
 
6.9%
서 42
 
6.8%
울 42
 
6.8%
구 42
 
6.8%
강 42
 
6.8%
별 42
 
6.8%
특 42
 
6.8%
번 30
 
4.8%
Other values (47) 204
33.0%
Common
ValueCountFrequency (%)
205
42.9%
1 55
 
11.5%
- 38
 
7.9%
2 35
 
7.3%
3 26
 
5.4%
4 21
 
4.4%
0 20
 
4.2%
7 18
 
3.8%
9 16
 
3.3%
8 15
 
3.1%
Other values (3) 29
 
6.1%
Latin
ValueCountFrequency (%)
M 1
25.0%
k 1
25.0%
s 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
56.2%
ASCII 482
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
42.5%
1 55
 
11.4%
- 38
 
7.9%
2 35
 
7.3%
3 26
 
5.4%
4 21
 
4.4%
0 20
 
4.1%
7 18
 
3.7%
9 16
 
3.3%
8 15
 
3.1%
Other values (7) 33
 
6.8%
Hangul
ValueCountFrequency (%)
동 47
 
7.6%
북 43
 
6.9%
시 43
 
6.9%
서 42
 
6.8%
울 42
 
6.8%
구 42
 
6.8%
강 42
 
6.8%
별 42
 
6.8%
특 42
 
6.8%
번 30
 
4.8%
Other values (47) 204
33.0%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing3
Missing (%)7.1%
Memory size468.0 B
2024-04-06T21:31:53.032547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length31.128205
Min length22

Characters and Unicode

Total characters1214
Distinct characters91
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row서울특별시 강북구 삼양로 190, 백운M빌딩 1층 (미아동)
2nd row서울특별시 강북구 도봉로 88 (미아동)
3rd row서울특별시 강북구 덕릉로 79 (수유동)
4th row서울특별시 강북구 삼양로123길 6-12 (수유동)
5th row서울특별시 강북구 솔샘로 255 (미아동)
ValueCountFrequency (%)
서울특별시 39
 
15.9%
강북구 39
 
15.9%
미아동 23
 
9.3%
수유동 10
 
4.1%
1층 8
 
3.3%
솔샘로 6
 
2.4%
삼양로 5
 
2.0%
19 4
 
1.6%
번동 4
 
1.6%
도봉로 4
 
1.6%
Other values (82) 104
42.3%
2024-04-06T21:31:53.859293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
17.1%
1 57
 
4.7%
동 46
 
3.8%
시 40
 
3.3%
북 40
 
3.3%
서 39
 
3.2%
( 39
 
3.2%
) 39
 
3.2%
로 39
 
3.2%
울 39
 
3.2%
Other values (81) 629
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 698
57.5%
Space Separator 207
 
17.1%
Decimal Number 190
 
15.7%
Open Punctuation 39
 
3.2%
Close Punctuation 39
 
3.2%
Other Punctuation 29
 
2.4%
Dash Punctuation 8
 
0.7%
Lowercase Letter 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
 
6.6%
시 40
 
5.7%
북 40
 
5.7%
서 39
 
5.6%
로 39
 
5.6%
울 39
 
5.6%
구 39
 
5.6%
강 39
 
5.6%
별 39
 
5.6%
특 39
 
5.6%
Other values (62) 299
42.8%
Decimal Number
ValueCountFrequency (%)
1 57
30.0%
2 32
16.8%
0 22
 
11.6%
9 17
 
8.9%
3 16
 
8.4%
5 13
 
6.8%
4 13
 
6.8%
6 8
 
4.2%
7 7
 
3.7%
8 5
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 698
57.5%
Common 512
42.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
 
6.6%
시 40
 
5.7%
북 40
 
5.7%
서 39
 
5.6%
로 39
 
5.6%
울 39
 
5.6%
구 39
 
5.6%
강 39
 
5.6%
별 39
 
5.6%
특 39
 
5.6%
Other values (62) 299
42.8%
Common
ValueCountFrequency (%)
207
40.4%
1 57
 
11.1%
( 39
 
7.6%
) 39
 
7.6%
2 32
 
6.2%
, 29
 
5.7%
0 22
 
4.3%
9 17
 
3.3%
3 16
 
3.1%
5 13
 
2.5%
Other values (5) 41
 
8.0%
Latin
ValueCountFrequency (%)
k 1
25.0%
s 1
25.0%
M 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 698
57.5%
ASCII 516
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
40.1%
1 57
 
11.0%
( 39
 
7.6%
) 39
 
7.6%
2 32
 
6.2%
, 29
 
5.6%
0 22
 
4.3%
9 17
 
3.3%
3 16
 
3.1%
5 13
 
2.5%
Other values (9) 45
 
8.7%
Hangul
ValueCountFrequency (%)
동 46
 
6.6%
시 40
 
5.7%
북 40
 
5.7%
서 39
 
5.6%
로 39
 
5.6%
울 39
 
5.6%
구 39
 
5.6%
강 39
 
5.6%
별 39
 
5.6%
특 39
 
5.6%
Other values (62) 299
42.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing9
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1146.6061
Minimum1026
Maximum1237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:31:54.133780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1026
5-th percentile1031.4
Q11077
median1174
Q31200
95-th percentile1227.6
Maximum1237
Range211
Interquartile range (IQR)123

Descriptive statistics

Standard deviation71.451443
Coefficient of variation (CV)0.062315599
Kurtosis-1.2781338
Mean1146.6061
Median Absolute Deviation (MAD)46
Skewness-0.54471039
Sum37838
Variance5105.3087
MonotonicityNot monotonic
2024-04-06T21:31:54.495827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1201 2
 
4.8%
1220 2
 
4.8%
1195 2
 
4.8%
1033 2
 
4.8%
1192 2
 
4.8%
1164 2
 
4.8%
1193 1
 
2.4%
1068 1
 
2.4%
1077 1
 
2.4%
1233 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 9
21.4%
ValueCountFrequency (%)
1026 1
2.4%
1029 1
2.4%
1033 2
4.8%
1039 1
2.4%
1051 1
2.4%
1060 1
2.4%
1068 1
2.4%
1077 1
2.4%
1081 1
2.4%
1111 1
2.4%
ValueCountFrequency (%)
1237 1
2.4%
1233 1
2.4%
1224 1
2.4%
1222 1
2.4%
1220 2
4.8%
1201 2
4.8%
1200 1
2.4%
1196 1
2.4%
1195 2
4.8%
1193 1
2.4%

사업장명
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T21:31:54.928785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length6
Mean length7.5238095
Min length5

Characters and Unicode

Total characters316
Distinct characters90
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row롯데동물병원
2nd row삼양동물병원
3rd row다나동물병원
4th row중앙동물병원
5th row동물병원 위드
ValueCountFrequency (%)
동물병원 7
 
12.5%
홈펫동물병원 2
 
3.6%
24시 2
 
3.6%
강북동물병원 2
 
3.6%
아이사랑동물병원 2
 
3.6%
중앙동물병원 1
 
1.8%
롯데동물병원 1
 
1.8%
수 1
 
1.8%
보노보노동물병원 1
 
1.8%
호 1
 
1.8%
Other values (36) 36
64.3%
2024-04-06T21:31:55.605556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 41
 
13.0%
물 41
 
13.0%
원 36
 
11.4%
병 35
 
11.1%
14
 
4.4%
사 7
 
2.2%
시 6
 
1.9%
랑 6
 
1.9%
터 5
 
1.6%
센 5
 
1.6%
Other values (80) 120
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
93.4%
Space Separator 14
 
4.4%
Decimal Number 6
 
1.9%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
13.9%
물 41
 
13.9%
원 36
 
12.2%
병 35
 
11.9%
사 7
 
2.4%
시 6
 
2.0%
랑 6
 
2.0%
터 5
 
1.7%
센 5
 
1.7%
의 4
 
1.4%
Other values (76) 109
36.9%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 3
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
93.4%
Common 20
 
6.3%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
13.9%
물 41
 
13.9%
원 36
 
12.2%
병 35
 
11.9%
사 7
 
2.4%
시 6
 
2.0%
랑 6
 
2.0%
터 5
 
1.7%
센 5
 
1.7%
의 4
 
1.4%
Other values (76) 109
36.9%
Common
ValueCountFrequency (%)
14
70.0%
2 3
 
15.0%
4 3
 
15.0%
Latin
ValueCountFrequency (%)
H 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
93.4%
ASCII 21
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 41
 
13.9%
물 41
 
13.9%
원 36
 
12.2%
병 35
 
11.9%
사 7
 
2.4%
시 6
 
2.0%
랑 6
 
2.0%
터 5
 
1.7%
센 5
 
1.7%
의 4
 
1.4%
Other values (76) 109
36.9%
ASCII
ValueCountFrequency (%)
14
66.7%
2 3
 
14.3%
4 3
 
14.3%
H 1
 
4.8%

최종수정일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2004-03-02 09:56:43
Maximum2024-04-02 15:27:00
2024-04-06T21:31:55.865331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:31:56.119626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
U
28 
I
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 28
66.7%
I 14
33.3%

Length

2024-04-06T21:31:56.370133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:56.584747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 28
66.7%
i 14
33.3%

데이터갱신일자
Date

Distinct22
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-06T21:31:56.789469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:31:57.017260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)87.2%
Missing3
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean201937.85
Minimum201045.61
Maximum203452.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:31:57.269316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201045.61
5-th percentile201090.5
Q1201458.02
median201790.81
Q3202525.88
95-th percentile203041.68
Maximum203452.54
Range2406.9312
Interquartile range (IQR)1067.856

Descriptive statistics

Standard deviation657.22958
Coefficient of variation (CV)0.0032546132
Kurtosis-0.76775993
Mean201937.85
Median Absolute Deviation (MAD)474.68705
Skewness0.5648518
Sum7875576
Variance431950.72
MonotonicityNot monotonic
2024-04-06T21:31:57.523759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
201316.118004367 2
 
4.8%
201882.026836663 2
 
4.8%
202635.07229069 2
 
4.8%
202525.877302054 2
 
4.8%
201731.684416461 2
 
4.8%
201760.433753367 1
 
2.4%
201429.158111042 1
 
2.4%
201496.629223194 1
 
2.4%
203053.003583537 1
 
2.4%
201561.672128458 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 3
 
7.1%
ValueCountFrequency (%)
201045.611312321 1
2.4%
201059.873232343 1
2.4%
201093.903997031 1
2.4%
201143.347658515 1
2.4%
201189.008870362 1
2.4%
201283.673420688 1
2.4%
201285.408153868 1
2.4%
201316.118004367 2
4.8%
201429.158111042 1
2.4%
201486.884571231 1
2.4%
ValueCountFrequency (%)
203452.54250506 1
2.4%
203053.003583537 1
2.4%
203040.419497335 1
2.4%
202914.28277604 1
2.4%
202906.979839402 1
2.4%
202821.895631378 1
2.4%
202635.07229069 2
4.8%
202614.072087057 1
2.4%
202525.877302054 2
4.8%
202450.017901847 1
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)87.2%
Missing3
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean458283.14
Minimum456360.43
Maximum461575.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:31:57.764045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456360.43
5-th percentile456514.97
Q1457219.34
median457551.37
Q3459203.49
95-th percentile460411.12
Maximum461575.15
Range5214.7172
Interquartile range (IQR)1984.1518

Descriptive statistics

Standard deviation1393.0022
Coefficient of variation (CV)0.0030396103
Kurtosis-0.82587908
Mean458283.14
Median Absolute Deviation (MAD)928.69563
Skewness0.56814054
Sum17873042
Variance1940455
MonotonicityNot monotonic
2024-04-06T21:31:58.007868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
460114.268870609 2
 
4.8%
457207.459778606 2
 
4.8%
456360.433254943 2
 
4.8%
457397.172231594 2
 
4.8%
457219.335594234 2
 
4.8%
456845.373829971 1
 
2.4%
457502.281846308 1
 
2.4%
459010.188235055 1
 
2.4%
456622.678015493 1
 
2.4%
458168.086218768 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 3
 
7.1%
ValueCountFrequency (%)
456360.433254943 2
4.8%
456532.141186728 1
2.4%
456622.678015493 1
2.4%
456845.373829971 1
2.4%
457069.639210587 1
2.4%
457187.950940466 1
2.4%
457207.459778606 2
4.8%
457219.335594234 2
4.8%
457290.100695375 1
2.4%
457292.961457264 1
2.4%
ValueCountFrequency (%)
461575.150489833 1
2.4%
460598.09310599 1
2.4%
460390.345091214 1
2.4%
460332.253997757 1
2.4%
460155.648754806 1
2.4%
460114.268870609 2
4.8%
459898.768983751 1
2.4%
459831.859673282 1
2.4%
459211.324321126 1
2.4%
459195.650412247 1
2.4%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
동물병원
33 
<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 row<NA>

Common Values

ValueCountFrequency (%)
동물병원 33
78.6%
<NA> 9
 
21.4%

Length

2024-04-06T21:31:58.240615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:58.434553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 33
78.6%
na 9
 
21.4%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
33 
<NA>
9 

Length

Max length4
Median length1
Mean length1.6428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
78.6%
<NA> 9
 
21.4%

Length

2024-04-06T21:31:58.649412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:58.896189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
78.6%
na 9
 
21.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
0
4 

Length

Max length4
Median length4
Mean length3.7142857
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> 38
90.5%
0 4
 
9.5%

Length

2024-04-06T21:31:59.276609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:31:59.488720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
0 4
 
9.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0308000030800000101988000119880903<NA>3폐업2폐업20051021<NA><NA><NA>980-714128.49<NA>서울특별시 강북구 미아동 70-26 번지<NA><NA>롯데동물병원2005-10-21 17:51:19I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
1308000030800000101992000119920818<NA>1영업/정상0정상<NA><NA><NA><NA>989-955276.0<NA>서울특별시 강북구 미아동 734-258 백운M빌딩서울특별시 강북구 삼양로 190, 백운M빌딩 1층 (미아동)1174삼양동물병원2020-09-01 16:06:57U2020-09-03 02:40:00.0<NA>201790.805051457613.172634동물병원<NA><NA>0<NA>
2308000030800000101993000119931127<NA>3폐업2폐업20040302<NA><NA><NA>945-007523.6<NA>서울특별시 강북구 수유동 70-4 번지<NA><NA>다나동물병원2004-03-02 09:56:43I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
3308000030800000101995000119950906<NA>1영업/정상0정상<NA><NA><NA><NA>982-869840.92<NA>서울특별시 강북구 미아동 98-39번지서울특별시 강북구 도봉로 88 (미아동)1165중앙동물병원2019-03-08 09:25:40U2019-03-10 02:40:00.0<NA>202614.072087457187.95094동물병원<NA><NA>0<NA>
430800003080000010199700011997-08-18<NA>1영업/정상0정상<NA><NA><NA><NA>907-156562.0<NA>서울특별시 강북구 수유동 47-69서울특별시 강북구 덕릉로 79 (수유동)1081동물병원 위드2023-02-17 16:30:30U2022-12-01 23:09:00.0<NA>201926.50461459160.763596<NA><NA><NA><NA><NA>
5308000030800000101998000119980121<NA>3폐업2폐업20040729<NA><NA><NA>983-95750.0<NA>서울특별시 강북구 미아동 125-25 번지<NA><NA>홈펫동물병원2004-07-29 16:51:57I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>0<NA>
6308000030800000101999000119990107<NA>1영업/정상0정상<NA><NA><NA><NA>991-43040.0<NA>서울특별시 강북구 수유동 319-12 삼흥연립서울특별시 강북구 삼양로123길 6-12 (수유동)1029사랑동물병원2020-11-04 14:30:34U2020-11-06 02:40:00.0<NA>201283.673421460332.253998동물병원<NA><NA>0<NA>
7308000030800000101999000219990108<NA>3폐업2폐업20070330<NA><NA><NA>988-56460.0<NA>서울특별시 강북구 미아동 860-74번지서울특별시 강북구 솔샘로 255 (미아동)<NA>미아동물병원2007-03-30 13:43:23I2018-08-31 23:59:59.0<NA>201814.484495457478.239203동물병원<NA><NA>0<NA>
830800003080000010200200012002-04-11<NA>1영업/정상0정상<NA><NA><NA><NA>999-911069.36<NA>서울특별시 강북구 수유동 252-199서울특별시 강북구 노해로 94 (수유동)1051현대종합동물병원2023-02-27 13:45:18U2022-12-03 00:01:00.0<NA>201963.315348460155.648755<NA><NA><NA><NA><NA>
9308000030800000102002000220021015<NA>1영업/정상0정상<NA><NA><NA><NA>988-758261.53<NA>서울특별시 강북구 미아동 812 삼성래미안트리베라아파트서울특별시 강북구 삼양로27길 19, 상가 204동 108호 (미아동, 삼성래미안트리베라아파트)1195솔샘동물병원2021-08-03 14:43:47U2021-08-05 02:40:00.0<NA>201731.684416457219.335594동물병원<NA><NA>00
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
3230800003080000010201500022015-08-18<NA>1영업/정상0정상<NA><NA><NA><NA>02-993-82660.0<NA>서울특별시 강북구 수유동 340-2서울특별시 강북구 삼양로117길 5, 1층 (수유동)1033꼬마동물병원2024-01-08 17:56:01U2023-11-30 23:00:00.0<NA>201316.118004460114.268871<NA><NA><NA><NA><NA>
33308000030800000102016000120161222<NA>3폐업2폐업20180402<NA><NA><NA>02-945-00750.0<NA>서울특별시 강북구 미아동 87-33번지 1층서울특별시 강북구 오패산로 160, 1층 (미아동, 참존빌)1233프렌즈동물병원2018-04-03 17:51:30I2018-08-31 23:59:59.0<NA>202906.979839457069.639211동물병원<NA><NA>0<NA>
3430800003080000010201700012017-06-05<NA>1영업/정상0정상<NA><NA><NA><NA>02-903-7582217.39<NA>서울특별시 강북구 수유동 39-10 1, 2층서울특별시 강북구 노해로 65, 1, 2층 (수유동, 리안스페이스)107724시 수유 바른펫 동물의료센터2023-04-05 10:42:55U2022-12-04 00:07:00.0<NA>201895.657015459898.768984<NA><NA><NA><NA><NA>
35308000030800000102017000220171211<NA>3폐업2폐업20221226<NA><NA><NA>02-983-85750.0<NA>서울특별시 강북구 미아동 1353-5 에스케이북한산시티 상가동 2동 209호서울특별시 강북구 솔샘로 184, 에스케이북한산시티 상가동 2동 209호 (미아동)1192사랑의 동물병원2022-12-27 09:21:34U2021-11-01 22:09:00.0<NA>201059.873232457514.212738<NA><NA><NA><NA><NA>
36308000030800000102018000120180406<NA>3폐업2폐업20190101<NA><NA><NA>02-941-79000.0<NA>서울특별시 강북구 미아동 42-11번지 덕신빌딩 4층서울특별시 강북구 월계로 3, 덕신빌딩 4층 (미아동)122024시 루시드 동물메디컬센터2019-02-01 11:15:39U2019-02-03 02:40:00.0<NA>202635.072291456360.433255동물병원<NA><NA>0<NA>
3730800003080000010201900012019-01-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-941-79000.0<NA>서울특별시 강북구 미아동 42-11 덕신빌딩 4층서울특별시 강북구 월계로 3, 덕신빌딩 4층 (미아동)122024시루시드동물메디컬센터2024-04-02 15:27:00U2023-12-04 00:04:00.0<NA>202635.072291456360.433255<NA><NA><NA><NA><NA>
3830800003080000010201900022019-04-24<NA>1영업/정상0정상<NA><NA><NA><NA>02-946-0011108.0<NA>서울특별시 강북구 미아동 561-2 현대성우아파트 102동 110호서울특별시 강북구 삼양로24길 19, 102동 110호 (미아동, 현대성우아파트)1201아이사랑동물병원2024-03-26 17:09:14U2023-12-02 22:08:00.0<NA>201882.026837457207.459779<NA><NA><NA><NA><NA>
39308000030800000102021000120210928<NA>1영업/정상0정상<NA><NA><NA><NA>070-8691-31210.0<NA>서울특별시 강북구 미아동 137-24서울특별시 강북구 도봉로 110-1, 4층 (미아동)1164모네동물피부과2022-01-05 18:08:53U2022-01-07 02:40:00.0<NA>202525.877302457397.172232동물병원<NA><NA>00
40308000030800000102021000220211022<NA>1영업/정상0정상<NA><NA><NA><NA>02)946-00110.0<NA>서울특별시 강북구 미아동 561-2 현대성우아파트서울특별시 강북구 삼양로24길 19, 현대성우아파트 102동 1층 109호 (미아동, 현대성우아파트)1201아이사랑동물병원 건강검진센터2022-01-05 18:09:18U2022-01-07 02:40:00.0<NA>201882.026837457207.459779동물병원<NA><NA>00
41308000030800000102022000120220629<NA>1영업/정상0정상<NA><NA><NA><NA>02-2039-8900203.0<NA>서울특별시 강북구 번동 411-8 해솔빌딩 1층 102호, B1층 102호서울특별시 강북구 덕릉로 133, 해솔빌딩 1층 102호, B1층 102호 (번동)1068마인동물의료센터2022-08-12 11:31:17U2021-12-07 23:04:00.0<NA>202450.017902459211.324321<NA><NA><NA><NA><NA>