Overview

Dataset statistics

Number of variables9
Number of observations52
Missing cells7
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory76.5 B

Variable types

Text4
DateTime2
Categorical1
Numeric2

Dataset

Description전라북도 전주시 내 동물병원을 제공하며 동물병원명, 인허가일자, 영업상태명 등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=3&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15053269

Alerts

영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 7 (13.5%) missing valuesMissing
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:11:38.352536
Analysis finished2024-03-14 00:11:39.305874
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-03-14T09:11:39.450993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.75
Min length5

Characters and Unicode

Total characters403
Distinct characters103
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

Unique50 ?
Unique (%)96.2%

Sample

1st row21세기 동물병원
2nd row24시 올리몰스 동물 메디컬 센터
3rd rowMVP동물병원
4th row개린이 동물병원
5th row늘푸른 동물병원
ValueCountFrequency (%)
동물병원 26
30.2%
코끼리 3
 
3.5%
동물의료센터 2
 
2.3%
효자 1
 
1.2%
홍 1
 
1.2%
메이동물메디컬센터 1
 
1.2%
아이들 1
 
1.2%
21세기 1
 
1.2%
펫동물병원 1
 
1.2%
우리동물병원 1
 
1.2%
Other values (48) 48
55.8%
2024-03-14T09:11:39.762167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 53
 
13.2%
물 52
 
12.9%
병 46
 
11.4%
원 46
 
11.4%
34
 
8.4%
이 7
 
1.7%
리 7
 
1.7%
터 7
 
1.7%
스 5
 
1.2%
센 5
 
1.2%
Other values (93) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
89.3%
Space Separator 34
 
8.4%
Decimal Number 6
 
1.5%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
14.7%
물 52
14.4%
병 46
 
12.8%
원 46
 
12.8%
이 7
 
1.9%
리 7
 
1.9%
터 7
 
1.9%
스 5
 
1.4%
센 5
 
1.4%
코 4
 
1.1%
Other values (86) 128
35.6%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 2
33.3%
1 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
V 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 360
89.3%
Common 40
 
9.9%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
14.7%
물 52
14.4%
병 46
 
12.8%
원 46
 
12.8%
이 7
 
1.9%
리 7
 
1.9%
터 7
 
1.9%
스 5
 
1.4%
센 5
 
1.4%
코 4
 
1.1%
Other values (86) 128
35.6%
Common
ValueCountFrequency (%)
34
85.0%
2 3
 
7.5%
4 2
 
5.0%
1 1
 
2.5%
Latin
ValueCountFrequency (%)
M 1
33.3%
V 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
89.3%
ASCII 43
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 53
14.7%
물 52
14.4%
병 46
 
12.8%
원 46
 
12.8%
이 7
 
1.9%
리 7
 
1.9%
터 7
 
1.9%
스 5
 
1.4%
센 5
 
1.4%
코 4
 
1.1%
Other values (86) 128
35.6%
ASCII
ValueCountFrequency (%)
34
79.1%
2 3
 
7.0%
4 2
 
4.7%
1 1
 
2.3%
M 1
 
2.3%
V 1
 
2.3%
P 1
 
2.3%

인허가일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1967-11-09 00:00:00
Maximum2021-04-22 00:00:00
2024-03-14T09:11:39.875896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:11:39.984133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
52 

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 52
100.0%

Length

2024-03-14T09:11:40.087862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:11:40.156788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 52
100.0%

소재지전화
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing7
Missing (%)13.5%
Memory size548.0 B
2024-03-14T09:11:40.322630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022222
Min length12

Characters and Unicode

Total characters541
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

Unique45 ?
Unique (%)100.0%

Sample

1st row063-251-1015
2nd row063-275-7979
3rd row063-227-8575
4th row063-281-0075
5th row063-272-0075
ValueCountFrequency (%)
063-276-7500 1
 
2.2%
063-226-3333 1
 
2.2%
063-211-2662 1
 
2.2%
063-227-8275 1
 
2.2%
063-283-6364 1
 
2.2%
063-211-6677 1
 
2.2%
063-276-3939 1
 
2.2%
063-255-4567 1
 
2.2%
063-240-2888 1
 
2.2%
063-255-0630 1
 
2.2%
Other values (35) 35
77.8%
2024-03-14T09:11:40.658224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 90
16.6%
2 70
12.9%
0 69
12.8%
6 67
12.4%
3 66
12.2%
7 58
10.7%
5 46
8.5%
4 22
 
4.1%
1 21
 
3.9%
8 16
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
83.4%
Dash Punctuation 90
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 70
15.5%
0 69
15.3%
6 67
14.9%
3 66
14.6%
7 58
12.9%
5 46
10.2%
4 22
 
4.9%
1 21
 
4.7%
8 16
 
3.5%
9 16
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 90
16.6%
2 70
12.9%
0 69
12.8%
6 67
12.4%
3 66
12.2%
7 58
10.7%
5 46
8.5%
4 22
 
4.1%
1 21
 
3.9%
8 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 90
16.6%
2 70
12.9%
0 69
12.8%
6 67
12.4%
3 66
12.2%
7 58
10.7%
5 46
8.5%
4 22
 
4.1%
1 21
 
3.9%
8 16
 
3.0%

도로명주소
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-03-14T09:11:40.939010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length30.057692
Min length24

Characters and Unicode

Total characters1563
Distinct characters121
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

Unique52 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 덕진구 시천로 26 (송천동1가)
2nd row전라북도 전주시 덕진구 송천중앙로 213 (송천동1가)
3rd row전라북도 전주시 완산구 세내로 285, 샘물아동병원 1층 108호 (효자동3가)
4th row전라북도 전주시 완산구 서원로 168 (효자동2가)
5th row전라북도 전주시 완산구 충경로 11 (다가동3가)
ValueCountFrequency (%)
전라북도 52
 
15.8%
전주시 52
 
15.8%
완산구 26
 
7.9%
덕진구 26
 
7.9%
인후동1가 5
 
1.5%
서신동 5
 
1.5%
모악로 4
 
1.2%
송천동1가 4
 
1.2%
백제대로 4
 
1.2%
효자동1가 4
 
1.2%
Other values (120) 148
44.8%
2024-03-14T09:11:41.327779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
278
 
17.8%
전 107
 
6.8%
1 61
 
3.9%
동 57
 
3.6%
시 55
 
3.5%
구 55
 
3.5%
북 54
 
3.5%
주 54
 
3.5%
( 52
 
3.3%
도 52
 
3.3%
Other values (111) 738
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 952
60.9%
Space Separator 278
 
17.8%
Decimal Number 210
 
13.4%
Open Punctuation 52
 
3.3%
Close Punctuation 52
 
3.3%
Other Punctuation 14
 
0.9%
Dash Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 107
 
11.2%
동 57
 
6.0%
시 55
 
5.8%
구 55
 
5.8%
북 54
 
5.7%
주 54
 
5.7%
도 52
 
5.5%
라 52
 
5.5%
로 47
 
4.9%
가 37
 
3.9%
Other values (95) 382
40.1%
Decimal Number
ValueCountFrequency (%)
1 61
29.0%
2 42
20.0%
3 19
 
9.0%
4 16
 
7.6%
0 16
 
7.6%
6 14
 
6.7%
7 13
 
6.2%
9 11
 
5.2%
8 11
 
5.2%
5 7
 
3.3%
Space Separator
ValueCountFrequency (%)
278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 952
60.9%
Common 610
39.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 107
 
11.2%
동 57
 
6.0%
시 55
 
5.8%
구 55
 
5.8%
북 54
 
5.7%
주 54
 
5.7%
도 52
 
5.5%
라 52
 
5.5%
로 47
 
4.9%
가 37
 
3.9%
Other values (95) 382
40.1%
Common
ValueCountFrequency (%)
278
45.6%
1 61
 
10.0%
( 52
 
8.5%
) 52
 
8.5%
2 42
 
6.9%
3 19
 
3.1%
4 16
 
2.6%
0 16
 
2.6%
6 14
 
2.3%
, 14
 
2.3%
Other values (5) 46
 
7.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 952
60.9%
ASCII 611
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
278
45.5%
1 61
 
10.0%
( 52
 
8.5%
) 52
 
8.5%
2 42
 
6.9%
3 19
 
3.1%
4 16
 
2.6%
0 16
 
2.6%
6 14
 
2.3%
, 14
 
2.3%
Other values (6) 47
 
7.7%
Hangul
ValueCountFrequency (%)
전 107
 
11.2%
동 57
 
6.0%
시 55
 
5.8%
구 55
 
5.8%
북 54
 
5.7%
주 54
 
5.7%
도 52
 
5.5%
라 52
 
5.5%
로 47
 
4.9%
가 37
 
3.9%
Other values (95) 382
40.1%

지번주소
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-03-14T09:11:41.600467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length23.692308
Min length19

Characters and Unicode

Total characters1232
Distinct characters49
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

Unique50 ?
Unique (%)96.2%

Sample

1st row전라북도 전주시 덕진구 송천동1가 626-42
2nd row전라북도 전주시 덕진구 송천동1가 809-3
3rd row전라북도 전주시 완산구 효자동3가 1542-1
4th row전라북도 전주시 완산구 효자동3가 37-71
5th row전라북도 전주시 완산구 다가동3가 24-9
ValueCountFrequency (%)
전라북도 52
19.8%
전주시 52
19.8%
완산구 26
 
9.9%
덕진구 26
 
9.9%
인후동1가 5
 
1.9%
서신동 5
 
1.9%
송천동1가 4
 
1.5%
효자동1가 4
 
1.5%
송천동2가 3
 
1.1%
효자동3가 3
 
1.1%
Other values (73) 82
31.3%
2024-03-14T09:11:41.937056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
17.0%
전 105
 
8.5%
1 55
 
4.5%
북 54
 
4.4%
동 53
 
4.3%
도 52
 
4.2%
주 52
 
4.2%
시 52
 
4.2%
라 52
 
4.2%
구 52
 
4.2%
Other values (39) 495
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 717
58.2%
Decimal Number 257
 
20.9%
Space Separator 210
 
17.0%
Dash Punctuation 48
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 105
14.6%
북 54
 
7.5%
동 53
 
7.4%
도 52
 
7.3%
주 52
 
7.3%
시 52
 
7.3%
라 52
 
7.3%
구 52
 
7.3%
가 37
 
5.2%
산 33
 
4.6%
Other values (27) 175
24.4%
Decimal Number
ValueCountFrequency (%)
1 55
21.4%
2 40
15.6%
3 33
12.8%
8 25
9.7%
6 23
8.9%
4 22
 
8.6%
7 18
 
7.0%
9 15
 
5.8%
0 14
 
5.4%
5 12
 
4.7%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 717
58.2%
Common 515
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 105
14.6%
북 54
 
7.5%
동 53
 
7.4%
도 52
 
7.3%
주 52
 
7.3%
시 52
 
7.3%
라 52
 
7.3%
구 52
 
7.3%
가 37
 
5.2%
산 33
 
4.6%
Other values (27) 175
24.4%
Common
ValueCountFrequency (%)
210
40.8%
1 55
 
10.7%
- 48
 
9.3%
2 40
 
7.8%
3 33
 
6.4%
8 25
 
4.9%
6 23
 
4.5%
4 22
 
4.3%
7 18
 
3.5%
9 15
 
2.9%
Other values (2) 26
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 717
58.2%
ASCII 515
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
40.8%
1 55
 
10.7%
- 48
 
9.3%
2 40
 
7.8%
3 33
 
6.4%
8 25
 
4.9%
6 23
 
4.5%
4 22
 
4.3%
7 18
 
3.5%
9 15
 
2.9%
Other values (2) 26
 
5.0%
Hangul
ValueCountFrequency (%)
전 105
14.6%
북 54
 
7.5%
동 53
 
7.4%
도 52
 
7.3%
주 52
 
7.3%
시 52
 
7.3%
라 52
 
7.3%
구 52
 
7.3%
가 37
 
5.2%
산 33
 
4.6%
Other values (27) 175
24.4%

위도
Real number (ℝ)

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.831533
Minimum35.788308
Maximum35.874402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-03-14T09:11:42.049888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.788308
5-th percentile35.795077
Q135.812858
median35.829849
Q335.850258
95-th percentile35.872467
Maximum35.874402
Range0.08609361
Interquartile range (IQR)0.037400008

Descriptive statistics

Standard deviation0.024278859
Coefficient of variation (CV)0.0006775836
Kurtosis-0.87996024
Mean35.831533
Median Absolute Deviation (MAD)0.01829595
Skewness0.22064681
Sum1863.2397
Variance0.000589463
MonotonicityNot monotonic
2024-03-14T09:11:42.163444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.795077 2
 
3.8%
35.86154545 1
 
1.9%
35.86602374 1
 
1.9%
35.80616803 1
 
1.9%
35.81339386 1
 
1.9%
35.83414316 1
 
1.9%
35.80140144 1
 
1.9%
35.87413225 1
 
1.9%
35.87102921 1
 
1.9%
35.8308252 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
35.78830843 1
1.9%
35.78919679 1
1.9%
35.795077 2
3.8%
35.80002105 1
1.9%
35.80140144 1
1.9%
35.80379054 1
1.9%
35.80616803 1
1.9%
35.80711315 1
1.9%
35.80774938 1
1.9%
35.81009521 1
1.9%
ValueCountFrequency (%)
35.87440204 1
1.9%
35.87413225 1
1.9%
35.87328642 1
1.9%
35.87179632 1
1.9%
35.87102921 1
1.9%
35.86602374 1
1.9%
35.86491473 1
1.9%
35.86482527 1
1.9%
35.86279147 1
1.9%
35.86154545 1
1.9%

경도
Real number (ℝ)

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12737
Minimum127.05998
Maximum127.16877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-03-14T09:11:42.277975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05998
5-th percentile127.07586
Q1127.11664
median127.12512
Q3127.146
95-th percentile127.16617
Maximum127.16877
Range0.108792
Interquartile range (IQR)0.029360225

Descriptive statistics

Standard deviation0.025134917
Coefficient of variation (CV)0.00019771444
Kurtosis0.46789743
Mean127.12737
Median Absolute Deviation (MAD)0.01280035
Skewness-0.58987534
Sum6610.6234
Variance0.00063176408
MonotonicityNot monotonic
2024-03-14T09:11:42.396433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1321811 2
 
3.8%
127.1149377 1
 
1.9%
127.1212119 1
 
1.9%
127.1194331 1
 
1.9%
127.10238 1
 
1.9%
127.1117392 1
 
1.9%
127.1461872 1
 
1.9%
127.0761983 1
 
1.9%
127.1362623 1
 
1.9%
127.1412579 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
127.0599762 1
1.9%
127.0746575 1
1.9%
127.0754931 1
1.9%
127.0761584 1
1.9%
127.0761983 1
1.9%
127.10238 1
1.9%
127.1028548 1
1.9%
127.1114225 1
1.9%
127.1117392 1
1.9%
127.1129002 1
1.9%
ValueCountFrequency (%)
127.1687682 1
1.9%
127.1678919 1
1.9%
127.1672353 1
1.9%
127.1653043 1
1.9%
127.163605 1
1.9%
127.1575322 1
1.9%
127.1563598 1
1.9%
127.155094 1
1.9%
127.1530501 1
1.9%
127.1520961 1
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2022-06-30 00:00:00
Maximum2022-06-30 00:00:00
2024-03-14T09:11:42.495679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:11:42.571818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T09:11:38.941862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:11:38.789528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:11:39.001386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:11:38.878637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:11:42.663570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명인허가일자소재지전화도로명주소지번주소위도경도
사업장명1.0001.0001.0001.0000.9980.9060.977
인허가일자1.0001.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
지번주소0.9981.0001.0001.0001.0001.0001.000
위도0.9061.0001.0001.0001.0001.0000.496
경도0.9771.0001.0001.0001.0000.4961.000
2024-03-14T09:11:42.795376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.103
경도-0.1031.000

Missing values

2024-03-14T09:11:39.109292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:11:39.256252image/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/정상063-251-1015전라북도 전주시 덕진구 시천로 26 (송천동1가)전라북도 전주시 덕진구 송천동1가 626-4235.861545127.1149382022-06-30
124시 올리몰스 동물 메디컬 센터2017-03-22영업/정상063-275-7979전라북도 전주시 덕진구 송천중앙로 213 (송천동1가)전라북도 전주시 덕진구 송천동1가 809-335.866024127.1212122022-06-30
2MVP동물병원2018-12-26영업/정상063-227-8575전라북도 전주시 완산구 세내로 285, 샘물아동병원 1층 108호 (효자동3가)전라북도 전주시 완산구 효자동3가 1542-135.815549127.1114232022-06-30
3개린이 동물병원2021-04-22영업/정상<NA>전라북도 전주시 완산구 서원로 168 (효자동2가)전라북도 전주시 완산구 효자동3가 37-7135.813276127.11292022-06-30
4늘푸른 동물병원2001-04-26영업/정상063-281-0075전라북도 전주시 완산구 충경로 11 (다가동3가)전라북도 전주시 완산구 다가동3가 24-935.816923127.1407282022-06-30
5닥터펫동물병원2016-05-27영업/정상063-272-0075전라북도 전주시 완산구 백제대로 378 (서신동)전라북도 전주시 완산구 서신동 산 997-835.826873127.1230472022-06-30
6대영동물병원2007-08-06영업/정상063-246-7155전라북도 전주시 덕진구 동부대로 582 (산정동)전라북도 전주시 덕진구 산정동 800-1135.842501127.1672352022-06-30
7더펫 동물병원2019-02-26영업/정상070-4113-7566전라북도 전주시 덕진구 한배미1길 61 (인후동1가)전라북도 전주시 덕진구 인후동1가 948-335.822781127.1678922022-06-30
8데이지동물병원2014-05-01영업/정상063-225-7588전라북도 전주시 완산구 거마평로 170 (효자동1가)전라북도 전주시 완산구 효자동1가 38835.807749127.1164072022-06-30
9동물치유쉼터2016-08-01영업/정상063-281-6740전라북도 전주시 덕진구 소리로 68 (덕진동1가, 전주동물원)전라북도 전주시 덕진구 덕진동1가 산 36-835.857306127.1440772022-06-30
사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도데이터기준일자
42푸른하늘 동물병원2004-05-11영업/정상063-222-4119전라북도 전주시 완산구 모악로 4704 (평화동2가)전라북도 전주시 완산구 평화동2가 299-135.789197127.1315232022-06-30
43프렌즈동물병원2002-04-17영업/정상063-227-4975전라북도 전주시 완산구 거마평로 86 (삼천동1가)전라북도 전주시 완산구 삼천동1가 592-135.800021127.1170622022-06-30
44하나 동물병원1997-06-24영업/정상063-253-5677전라북도 전주시 덕진구 송천중앙로 17, 1층 (덕진동2가)전라북도 전주시 덕진구 덕진동2가 167-15635.848854127.1185592022-06-30
45하루동물병원2018-05-21영업/정상063-232-5900전라북도 전주시 완산구 모악로 4692, 매직카 (평화동2가)전라북도 전주시 완산구 평화동2가 302-335.788308127.1309312022-06-30
46하트동물병원2014-05-26영업/정상063-276-7675전라북도 전주시 덕진구 두간1길 5 (송천동1가)전라북도 전주시 덕진구 송천동1가 812-335.864825127.1212832022-06-30
47행복한 동물병원2000-01-14영업/정상063-244-0090전라북도 전주시 덕진구 건산로 243 (인후동1가)전라북도 전주시 덕진구 인후동1가 806-635.834823127.1636052022-06-30
48혁신동물병원2016-12-23영업/정상063-229-5333전라북도 전주시 덕진구 기지로 72 (중동)전라북도 전주시 덕진구 중동 774-135.838073127.0599762022-06-30
49홍 동물병원1967-11-09영업/정상063-284-6520전라북도 전주시 완산구 팔달로 99-2 (전동)전라북도 전주시 완산구 전동 26035.811505127.1492172022-06-30
50효자 동물병원1993-05-10영업/정상063-224-6672전라북도 전주시 완산구 백제대로 121 (효자동1가)전라북도 전주시 완산구 효자동1가 563-835.803791127.1237582022-06-30
51힐링동물병원2012-07-18영업/정상063-272-8575전라북도 전주시 덕진구 송천중앙로 177 (송천동1가)전라북도 전주시 덕진구 송천동1가 486-1635.862791127.1213142022-06-30