Overview

Dataset statistics

Number of variables9
Number of observations50
Missing cells6
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory76.6 B

Variable types

Text4
DateTime1
Categorical2
Numeric2

Dataset

Description전북특별자치도 전주시 내 동물병원을 제공하며 동물병원명, 인허가일자, 영업상태명 등을 제공합니다.항목 : 사업장명, 인허가일자, 영업상태명, 소재지전화번호, 도로명주소, 지번주소, 위도, 경도 등제공부서 : 동물복지과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15053269/fileData.do

Alerts

영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 6 (12.0%) missing valuesMissing
사업장명 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:50:53.968264
Analysis finished2024-03-14 13:50:56.075089
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T22:50:56.722223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.76
Min length5

Characters and Unicode

Total characters388
Distinct characters96
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row21세기 동물병원
2nd row24시 올리몰스 동물메디컬센터
3rd row24시 코끼리동물병원
4th row24시 코끼리동물의료센터
5th row나음동물메디컬센터
ValueCountFrequency (%)
동물병원 18
 
23.7%
24시 3
 
3.9%
동물의료센터 2
 
2.6%
전주동물병원 1
 
1.3%
효자 1
 
1.3%
에코동물병원 1
 
1.3%
우리동물병원 1
 
1.3%
웰동물병원 1
 
1.3%
유앤아이동물병원 1
 
1.3%
이엘 1
 
1.3%
Other values (46) 46
60.5%
2024-03-14T22:50:58.004700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 51
 
13.1%
물 50
 
12.9%
병 43
 
11.1%
원 43
 
11.1%
26
 
6.7%
터 8
 
2.1%
리 8
 
2.1%
이 6
 
1.5%
센 6
 
1.5%
2 4
 
1.0%
Other values (86) 143
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
91.2%
Space Separator 26
 
6.7%
Decimal Number 8
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
14.4%
물 50
 
14.1%
병 43
 
12.1%
원 43
 
12.1%
터 8
 
2.3%
리 8
 
2.3%
이 6
 
1.7%
센 6
 
1.7%
른 4
 
1.1%
메 4
 
1.1%
Other values (82) 131
37.0%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
4 3
37.5%
1 1
 
12.5%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
91.2%
Common 34
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
14.4%
물 50
 
14.1%
병 43
 
12.1%
원 43
 
12.1%
터 8
 
2.3%
리 8
 
2.3%
이 6
 
1.7%
센 6
 
1.7%
른 4
 
1.1%
메 4
 
1.1%
Other values (82) 131
37.0%
Common
ValueCountFrequency (%)
26
76.5%
2 4
 
11.8%
4 3
 
8.8%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
91.2%
ASCII 34
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 51
 
14.4%
물 50
 
14.1%
병 43
 
12.1%
원 43
 
12.1%
터 8
 
2.3%
리 8
 
2.3%
이 6
 
1.7%
센 6
 
1.7%
른 4
 
1.1%
메 4
 
1.1%
Other values (82) 131
37.0%
ASCII
ValueCountFrequency (%)
26
76.5%
2 4
 
11.8%
4 3
 
8.8%
1 1
 
2.9%

인허가일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Minimum1992-03-18 00:00:00
Maximum2023-09-15 00:00:00
2024-03-14T22:50:58.415016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:50:58.838863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
영업/정상
50 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 50
100.0%

Length

2024-03-14T22:50:59.233368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:50:59.526652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 50
100.0%

소재지전화
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing6
Missing (%)12.0%
Memory size528.0 B
2024-03-14T22:51:00.362832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row063-251-1015
2nd row063-275-7979
3rd row063-902-7975
4th row063-228-5311
5th row063-246-7155
ValueCountFrequency (%)
063-273-5575 1
 
2.3%
063-276-7500 1
 
2.3%
063-221-7582 1
 
2.3%
063-226-3333 1
 
2.3%
063-227-8275 1
 
2.3%
063-275-7553 1
 
2.3%
063-211-6677 1
 
2.3%
063-276-3939 1
 
2.3%
063-255-4567 1
 
2.3%
063-240-2888 1
 
2.3%
Other values (34) 34
77.3%
2024-03-14T22:51:01.406712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.7%
0 69
13.1%
2 68
12.9%
3 64
12.1%
6 63
11.9%
7 55
10.4%
5 45
8.5%
4 22
 
4.2%
1 21
 
4.0%
9 17
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
15.7%
2 68
15.5%
3 64
14.5%
6 63
14.3%
7 55
12.5%
5 45
10.2%
4 22
 
5.0%
1 21
 
4.8%
9 17
 
3.9%
8 16
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.7%
0 69
13.1%
2 68
12.9%
3 64
12.1%
6 63
11.9%
7 55
10.4%
5 45
8.5%
4 22
 
4.2%
1 21
 
4.0%
9 17
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.7%
0 69
13.1%
2 68
12.9%
3 64
12.1%
6 63
11.9%
7 55
10.4%
5 45
8.5%
4 22
 
4.2%
1 21
 
4.0%
9 17
 
3.2%

도로명주소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T22:51:02.643347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length33.34
Min length27

Characters and Unicode

Total characters1667
Distinct characters124
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

Unique50 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 전주시 덕진구 시천로 26 (송천동1가)
2nd row전북특별자치도 전주시 덕진구 송천중앙로 213 (송천동1가)
3rd row전북특별자치도 전주시 완산구 모악로 4769 (평화동1가)
4th row전북특별자치도 전주시 완산구 모악로 4769, 2층 1호 (평화동1가)
5th row전북특별자치도 전주시 완산구 서원로 294, 마리앤스튜디오 (중화산동2가)
ValueCountFrequency (%)
전북특별자치도 50
 
15.6%
전주시 50
 
15.6%
덕진구 26
 
8.1%
완산구 24
 
7.5%
1층 5
 
1.6%
송천동1가 4
 
1.2%
서원로 4
 
1.2%
효자동1가 4
 
1.2%
동부대로 4
 
1.2%
모악로 4
 
1.2%
Other values (115) 145
45.3%
2024-03-14T22:51:04.302543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
 
16.2%
전 102
 
6.1%
1 58
 
3.5%
자 57
 
3.4%
동 57
 
3.4%
시 53
 
3.2%
북 53
 
3.2%
구 53
 
3.2%
주 52
 
3.1%
( 50
 
3.0%
Other values (114) 862
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
64.3%
Space Separator 270
 
16.2%
Decimal Number 203
 
12.2%
Open Punctuation 50
 
3.0%
Close Punctuation 50
 
3.0%
Other Punctuation 17
 
1.0%
Dash Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 102
 
9.5%
자 57
 
5.3%
동 57
 
5.3%
시 53
 
4.9%
북 53
 
4.9%
구 53
 
4.9%
주 52
 
4.9%
특 50
 
4.7%
별 50
 
4.7%
치 50
 
4.7%
Other values (97) 495
46.2%
Decimal Number
ValueCountFrequency (%)
1 58
28.6%
2 44
21.7%
4 17
 
8.4%
7 15
 
7.4%
3 15
 
7.4%
6 14
 
6.9%
0 14
 
6.9%
8 10
 
4.9%
9 9
 
4.4%
5 7
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
64.3%
Common 593
35.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 102
 
9.5%
자 57
 
5.3%
동 57
 
5.3%
시 53
 
4.9%
북 53
 
4.9%
구 53
 
4.9%
주 52
 
4.9%
특 50
 
4.7%
별 50
 
4.7%
치 50
 
4.7%
Other values (97) 495
46.2%
Common
ValueCountFrequency (%)
270
45.5%
1 58
 
9.8%
( 50
 
8.4%
) 50
 
8.4%
2 44
 
7.4%
4 17
 
2.9%
, 17
 
2.9%
7 15
 
2.5%
3 15
 
2.5%
6 14
 
2.4%
Other values (5) 43
 
7.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
64.3%
ASCII 595
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
45.4%
1 58
 
9.7%
( 50
 
8.4%
) 50
 
8.4%
2 44
 
7.4%
4 17
 
2.9%
, 17
 
2.9%
7 15
 
2.5%
3 15
 
2.5%
6 14
 
2.4%
Other values (7) 45
 
7.6%
Hangul
ValueCountFrequency (%)
전 102
 
9.5%
자 57
 
5.3%
동 57
 
5.3%
시 53
 
4.9%
북 53
 
4.9%
구 53
 
4.9%
주 52
 
4.9%
특 50
 
4.7%
별 50
 
4.7%
치 50
 
4.7%
Other values (97) 495
46.2%

지번주소
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T22:51:05.566161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length29.2
Min length25

Characters and Unicode

Total characters1460
Distinct characters84
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

Unique48 ?
Unique (%)96.0%

Sample

1st row전북특별자치도 전주시 덕진구 송천동1가 626-42
2nd row전북특별자치도 전주시 덕진구 송천동1가 809-3
3rd row전북특별자치도 전주시 완산구 평화동1가 708-2
4th row전북특별자치도 전주시 완산구 평화동1가 708-2
5th row전북특별자치도 전주시 완산구 중화산동2가 535-4 마리앤스튜디오
ValueCountFrequency (%)
전북특별자치도 50
19.0%
전주시 50
19.0%
덕진구 26
 
9.9%
완산구 24
 
9.1%
중화산동2가 4
 
1.5%
송천동1가 4
 
1.5%
서신동 4
 
1.5%
효자동1가 4
 
1.5%
호성동1가 3
 
1.1%
송천동2가 3
 
1.1%
Other values (83) 91
34.6%
2024-03-14T22:51:07.474035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
17.8%
전 100
 
6.8%
1 59
 
4.0%
자 57
 
3.9%
동 53
 
3.6%
시 52
 
3.6%
북 52
 
3.6%
치 51
 
3.5%
별 50
 
3.4%
도 50
 
3.4%
Other values (74) 676
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
60.7%
Decimal Number 265
 
18.2%
Space Separator 260
 
17.8%
Dash Punctuation 48
 
3.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 100
 
11.3%
자 57
 
6.4%
동 53
 
6.0%
시 52
 
5.9%
북 52
 
5.9%
치 51
 
5.8%
별 50
 
5.6%
도 50
 
5.6%
특 50
 
5.6%
주 50
 
5.6%
Other values (61) 321
36.2%
Decimal Number
ValueCountFrequency (%)
1 59
22.3%
2 47
17.7%
3 32
12.1%
8 26
9.8%
6 21
 
7.9%
4 19
 
7.2%
7 17
 
6.4%
0 17
 
6.4%
5 14
 
5.3%
9 13
 
4.9%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
60.7%
Common 573
39.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 100
 
11.3%
자 57
 
6.4%
동 53
 
6.0%
시 52
 
5.9%
북 52
 
5.9%
치 51
 
5.8%
별 50
 
5.6%
도 50
 
5.6%
특 50
 
5.6%
주 50
 
5.6%
Other values (61) 321
36.2%
Common
ValueCountFrequency (%)
260
45.4%
1 59
 
10.3%
- 48
 
8.4%
2 47
 
8.2%
3 32
 
5.6%
8 26
 
4.5%
6 21
 
3.7%
4 19
 
3.3%
7 17
 
3.0%
0 17
 
3.0%
Other values (2) 27
 
4.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
60.7%
ASCII 574
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
45.3%
1 59
 
10.3%
- 48
 
8.4%
2 47
 
8.2%
3 32
 
5.6%
8 26
 
4.5%
6 21
 
3.7%
4 19
 
3.3%
7 17
 
3.0%
0 17
 
3.0%
Other values (3) 28
 
4.9%
Hangul
ValueCountFrequency (%)
전 100
 
11.3%
자 57
 
6.4%
동 53
 
6.0%
시 52
 
5.9%
북 52
 
5.9%
치 51
 
5.8%
별 50
 
5.6%
도 50
 
5.6%
특 50
 
5.6%
주 50
 
5.6%
Other values (61) 321
36.2%

위도
Real number (ℝ)

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.833444
Minimum35.788308
Maximum35.874402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-14T22:51:07.887748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.788308
5-th percentile35.795077
Q135.812886
median35.831488
Q335.857153
95-th percentile35.87277
Maximum35.874402
Range0.08609361
Interquartile range (IQR)0.0442671

Descriptive statistics

Standard deviation0.025277673
Coefficient of variation (CV)0.00070542127
Kurtosis-1.0923318
Mean35.833444
Median Absolute Deviation (MAD)0.02218613
Skewness0.063668204
Sum1791.6722
Variance0.00063896077
MonotonicityNot monotonic
2024-03-14T22:51:08.306302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
35.795077 2
 
4.0%
35.86154545 1
 
2.0%
35.80711315 1
 
2.0%
35.81339386 1
 
2.0%
35.83414316 1
 
2.0%
35.80140144 1
 
2.0%
35.87413225 1
 
2.0%
35.87102921 1
 
2.0%
35.8308252 1
 
2.0%
35.85669148 1
 
2.0%
Other values (39) 39
78.0%
ValueCountFrequency (%)
35.78830843 1
2.0%
35.78919679 1
2.0%
35.795077 2
4.0%
35.80002105 1
2.0%
35.80140144 1
2.0%
35.80379054 1
2.0%
35.80616803 1
2.0%
35.80711315 1
2.0%
35.80774938 1
2.0%
35.81009521 1
2.0%
ValueCountFrequency (%)
35.87440204 1
2.0%
35.87413225 1
2.0%
35.87356609 1
2.0%
35.87179632 1
2.0%
35.87102921 1
2.0%
35.86602374 1
2.0%
35.86491473 1
2.0%
35.86482527 1
2.0%
35.86434378 1
2.0%
35.86279147 1
2.0%

경도
Real number (ℝ)

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12674
Minimum127.05998
Maximum127.16877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-14T22:51:08.732439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05998
5-th percentile127.0761
Q1127.1168
median127.12512
Q3127.14547
95-th percentile127.16454
Maximum127.16877
Range0.108792
Interquartile range (IQR)0.02866895

Descriptive statistics

Standard deviation0.024803919
Coefficient of variation (CV)0.00019511174
Kurtosis0.56449621
Mean127.12674
Median Absolute Deviation (MAD)0.01168105
Skewness-0.64761728
Sum6356.337
Variance0.00061523441
MonotonicityNot monotonic
2024-03-14T22:51:09.182018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
127.1321811 2
 
4.0%
127.1149377 1
 
2.0%
127.116713 1
 
2.0%
127.10238 1
 
2.0%
127.1117392 1
 
2.0%
127.1461872 1
 
2.0%
127.0761983 1
 
2.0%
127.1362623 1
 
2.0%
127.1412579 1
 
2.0%
127.1563598 1
 
2.0%
Other values (39) 39
78.0%
ValueCountFrequency (%)
127.0599762 1
2.0%
127.0746575 1
2.0%
127.0760518 1
2.0%
127.0761584 1
2.0%
127.0761983 1
2.0%
127.10238 1
2.0%
127.1028548 1
2.0%
127.1117392 1
2.0%
127.1129002 1
2.0%
127.1149377 1
2.0%
ValueCountFrequency (%)
127.1687682 1
2.0%
127.1672353 1
2.0%
127.1653043 1
2.0%
127.163605 1
2.0%
127.1575322 1
2.0%
127.1563598 1
2.0%
127.155094 1
2.0%
127.1520961 1
2.0%
127.1515787 1
2.0%
127.149184 1
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-01-17
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-17
2nd row2024-01-17
3rd row2024-01-17
4th row2024-01-17
5th row2024-01-17

Common Values

ValueCountFrequency (%)
2024-01-17 50
100.0%

Length

2024-03-14T22:51:09.593003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:51:09.887486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-17 50
100.0%

Interactions

2024-03-14T22:50:54.953044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:50:54.484639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:50:55.184042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:50:54.707321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:51:10.071625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명인허가일자소재지전화도로명주소지번주소위도경도
사업장명1.0001.0001.0001.0001.0001.0001.000
인허가일자1.0001.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0001.0000.495
경도1.0001.0001.0001.0001.0000.4951.000
2024-03-14T22:51:10.344426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.056
경도-0.0561.000

Missing values

2024-03-14T22:50:55.645670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:50:55.897475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도데이터기준일자
021세기 동물병원1999-03-17영업/정상063-251-1015전북특별자치도 전주시 덕진구 시천로 26 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 626-4235.861545127.1149382024-01-17
124시 올리몰스 동물메디컬센터2017-03-22영업/정상063-275-7979전북특별자치도 전주시 덕진구 송천중앙로 213 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 809-335.866024127.1212122024-01-17
224시 코끼리동물병원2014-02-10영업/정상063-902-7975전북특별자치도 전주시 완산구 모악로 4769 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 708-235.795077127.1321812024-01-17
324시 코끼리동물의료센터2021-03-09영업/정상<NA>전북특별자치도 전주시 완산구 모악로 4769, 2층 1호 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 708-235.795077127.1321812024-01-17
4나음동물메디컬센터1992-10-09영업/정상063-228-5311전북특별자치도 전주시 완산구 서원로 294, 마리앤스튜디오 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 535-4 마리앤스튜디오35.811602127.1264822024-01-17
5닥터펫동물병원2016-05-27영업/정상<NA>전북특별자치도 전주시 완산구 백제대로 370, 2층 (서신동)전북특별자치도 전주시 완산구 서신동 989-235.826287127.1231262024-01-17
6대영동물병원2007-08-06영업/정상063-246-7155전북특별자치도 전주시 덕진구 동부대로 582 (산정동)전북특별자치도 전주시 덕진구 산정동 800-1135.842501127.1672352024-01-17
7데이지동물병원2014-05-01영업/정상063-225-7588전북특별자치도 전주시 완산구 거마평로 170 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 38835.807749127.1164072024-01-17
8데일리 동물의료센터2021-04-22영업/정상063-901-6002전북특별자치도 전주시 완산구 서원로 168 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1-235.813276127.11292024-01-17
9동물치유쉼터2016-08-01영업/정상063-281-6740전북특별자치도 전주시 덕진구 소리로 68 (덕진동1가, 전주동물원)전북특별자치도 전주시 덕진구 덕진동1가 73-4835.857306127.1440772024-01-17
사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도데이터기준일자
40푸른 동물병원1992-03-18영업/정상063-211-2662전북특별자치도 전주시 덕진구 쪽구름로 71-2 (반월동)전북특별자치도 전주시 덕진구 반월동 248-735.871796127.0761582024-01-17
41푸른하늘 동물병원2004-05-11영업/정상063-222-4119전북특별자치도 전주시 완산구 모악로 4704 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 299-135.789197127.1315232024-01-17
42프렌즈동물병원2002-04-17영업/정상063-227-4975전북특별자치도 전주시 완산구 거마평로 86 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 592-135.800021127.1170622024-01-17
43하나 동물병원1997-06-24영업/정상063-253-5677전북특별자치도 전주시 덕진구 송천중앙로 17, 1층 (덕진동2가)전북특별자치도 전주시 덕진구 덕진동2가 167-15635.848854127.1185592024-01-17
44하루동물병원2018-05-21영업/정상063-232-5900전북특별자치도 전주시 완산구 모악로 4692, 매직카 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 302-3 매직카35.788308127.1309312024-01-17
45하트동물병원2014-05-26영업/정상063-276-7675전북특별자치도 전주시 덕진구 두간1길 5 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 812-335.864825127.1212832024-01-17
46행복한 동물병원2000-01-14영업/정상063-244-0090전북특별자치도 전주시 덕진구 건산로 243 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 806-635.834823127.1636052024-01-17
47혁신동물병원2016-12-23영업/정상063-229-5333전북특별자치도 전주시 덕진구 기지로 72 (중동)전북특별자치도 전주시 덕진구 중동 774-135.838073127.0599762024-01-17
48효자 동물병원1993-05-10영업/정상063-224-6672전북특별자치도 전주시 완산구 백제대로 121 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 563-835.803791127.1237582024-01-17
49힐링동물병원2012-07-18영업/정상063-272-8575전북특별자치도 전주시 덕진구 송천중앙로 177 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 486-1635.862791127.1213142024-01-17