Overview

Dataset statistics

Number of variables8
Number of observations71
Missing cells67
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory68.9 B

Variable types

Text4
Categorical1
Numeric3

Dataset

Description김해시 동물병원 현황에 대한 데이터로 사업자명, 영업상태, 전화번호, 주소, 위도 및 경도, 소재지면적 항목을 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033370/fileData.do

Alerts

전화번호 has 19 (26.8%) missing valuesMissing
소재지면적 has 48 (67.6%) missing valuesMissing
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:17:10.481378
Analysis finished2023-12-12 04:17:12.299761
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:17:12.445622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length8.7746479
Min length5

Characters and Unicode

Total characters623
Distinct characters145
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)97.2%

Sample

1st row중앙가축병원
2nd row해조동물병원(산업동물 출장진료 전문동물병원)
3rd row김해동물병원
4th row강 동물병원
5th row고려동물병원
ValueCountFrequency (%)
동물병원 11
 
10.8%
율하 3
 
2.9%
출장진료 3
 
2.9%
스마일동물병원 2
 
2.0%
전문동물병원 2
 
2.0%
율하시티동물병원 1
 
1.0%
부경양돈농협동물병원 1
 
1.0%
베토벤동물병원 1
 
1.0%
현대가축병원 1
 
1.0%
개척동물병원 1
 
1.0%
Other values (76) 76
74.5%
2023-12-12T13:17:12.766171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 75
 
12.0%
물 74
 
11.9%
원 72
 
11.6%
병 70
 
11.2%
31
 
5.0%
스 8
 
1.3%
료 7
 
1.1%
진 7
 
1.1%
장 7
 
1.1%
( 6
 
1.0%
Other values (135) 266
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
92.8%
Space Separator 31
 
5.0%
Open Punctuation 6
 
1.0%
Close Punctuation 6
 
1.0%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 75
 
13.0%
물 74
 
12.8%
원 72
 
12.5%
병 70
 
12.1%
스 8
 
1.4%
료 7
 
1.2%
진 7
 
1.2%
장 7
 
1.2%
해 6
 
1.0%
합 6
 
1.0%
Other values (130) 246
42.6%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 576
92.5%
Common 45
 
7.2%
Han 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 75
 
13.0%
물 74
 
12.8%
원 72
 
12.5%
병 70
 
12.2%
스 8
 
1.4%
료 7
 
1.2%
진 7
 
1.2%
장 7
 
1.2%
해 6
 
1.0%
합 6
 
1.0%
Other values (128) 244
42.4%
Common
ValueCountFrequency (%)
31
68.9%
( 6
 
13.3%
) 6
 
13.3%
4 1
 
2.2%
2 1
 
2.2%
Han
ValueCountFrequency (%)
和 1
50.0%
農 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 576
92.5%
ASCII 45
 
7.2%
CJK 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 75
 
13.0%
물 74
 
12.8%
원 72
 
12.5%
병 70
 
12.2%
스 8
 
1.4%
료 7
 
1.2%
진 7
 
1.2%
장 7
 
1.2%
해 6
 
1.0%
합 6
 
1.0%
Other values (128) 244
42.4%
ASCII
ValueCountFrequency (%)
31
68.9%
( 6
 
13.3%
) 6
 
13.3%
4 1
 
2.2%
2 1
 
2.2%
CJK
ValueCountFrequency (%)
和 1
50.0%
農 1
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
정상
47 
폐업
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 47
66.2%
폐업 24
33.8%

Length

2023-12-12T13:17:12.884854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:17:12.971663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 47
66.2%
폐업 24
33.8%

전화번호
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing19
Missing (%)26.8%
Memory size700.0 B
2023-12-12T13:17:13.160771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters624
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

Unique52 ?
Unique (%)100.0%

Sample

1st row055-336-5141
2nd row055-333-5645
3rd row055-342-3060
4th row055-325-0175
5th row055-336-3636
ValueCountFrequency (%)
055-336-0075 1
 
1.9%
055-321-8275 1
 
1.9%
055-331-7575 1
 
1.9%
055-337-6890 1
 
1.9%
055-902-4515 1
 
1.9%
055-312-0407 1
 
1.9%
055-333-9107 1
 
1.9%
055-336-2693 1
 
1.9%
055-332-4284 1
 
1.9%
055-322-4496 1
 
1.9%
Other values (43) 43
81.1%
2023-12-12T13:17:13.515388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 151
24.2%
- 103
16.5%
3 89
14.3%
0 78
12.5%
2 47
 
7.5%
7 39
 
6.2%
1 34
 
5.4%
4 25
 
4.0%
8 22
 
3.5%
6 19
 
3.0%
Other values (2) 17
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
83.3%
Dash Punctuation 103
 
16.5%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 151
29.0%
3 89
17.1%
0 78
15.0%
2 47
 
9.0%
7 39
 
7.5%
1 34
 
6.5%
4 25
 
4.8%
8 22
 
4.2%
6 19
 
3.7%
9 16
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 151
24.2%
- 103
16.5%
3 89
14.3%
0 78
12.5%
2 47
 
7.5%
7 39
 
6.2%
1 34
 
5.4%
4 25
 
4.0%
8 22
 
3.5%
6 19
 
3.0%
Other values (2) 17
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 151
24.2%
- 103
16.5%
3 89
14.3%
0 78
12.5%
2 47
 
7.5%
7 39
 
6.2%
1 34
 
5.4%
4 25
 
4.0%
8 22
 
3.5%
6 19
 
3.0%
Other values (2) 17
 
2.7%

지번주소
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:17:13.842807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length25.225352
Min length19

Characters and Unicode

Total characters1791
Distinct characters109
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

Unique71 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 부원동 833번지 27호
2nd row경상남도 김해시 부원동 835번지 8호
3rd row경상남도 김해시 삼계동 1486번지 1호 위너스타운 107호
4th row경상남도 김해시 진영읍 진영리 275번지 108호
5th row경상남도 김해시 서상동 255번지 8호
ValueCountFrequency (%)
경상남도 71
 
17.9%
김해시 71
 
17.9%
2호 12
 
3.0%
4호 10
 
2.5%
1호 10
 
2.5%
진영읍 7
 
1.8%
내동 7
 
1.8%
율하동 6
 
1.5%
8호 5
 
1.3%
외동 4
 
1.0%
Other values (138) 193
48.7%
2023-12-12T13:17:14.308095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
22.2%
1 104
 
5.8%
상 81
 
4.5%
김 72
 
4.0%
해 72
 
4.0%
호 72
 
4.0%
도 71
 
4.0%
시 71
 
4.0%
남 71
 
4.0%
경 71
 
4.0%
Other values (99) 709
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
56.8%
Space Separator 397
 
22.2%
Decimal Number 366
 
20.4%
Uppercase Letter 4
 
0.2%
Dash Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 81
 
8.0%
김 72
 
7.1%
해 72
 
7.1%
호 72
 
7.1%
도 71
 
7.0%
시 71
 
7.0%
남 71
 
7.0%
경 71
 
7.0%
동 66
 
6.5%
번 66
 
6.5%
Other values (81) 304
29.9%
Decimal Number
ValueCountFrequency (%)
1 104
28.4%
3 42
11.5%
2 42
11.5%
0 38
 
10.4%
4 30
 
8.2%
5 28
 
7.7%
7 23
 
6.3%
6 21
 
5.7%
8 20
 
5.5%
9 18
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
K 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
56.8%
Common 770
43.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 81
 
8.0%
김 72
 
7.1%
해 72
 
7.1%
호 72
 
7.1%
도 71
 
7.0%
시 71
 
7.0%
남 71
 
7.0%
경 71
 
7.0%
동 66
 
6.5%
번 66
 
6.5%
Other values (81) 304
29.9%
Common
ValueCountFrequency (%)
397
51.6%
1 104
 
13.5%
3 42
 
5.5%
2 42
 
5.5%
0 38
 
4.9%
4 30
 
3.9%
5 28
 
3.6%
7 23
 
3.0%
6 21
 
2.7%
8 20
 
2.6%
Other values (5) 25
 
3.2%
Latin
ValueCountFrequency (%)
B 2
50.0%
K 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
56.8%
ASCII 774
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
51.3%
1 104
 
13.4%
3 42
 
5.4%
2 42
 
5.4%
0 38
 
4.9%
4 30
 
3.9%
5 28
 
3.6%
7 23
 
3.0%
6 21
 
2.7%
8 20
 
2.6%
Other values (8) 29
 
3.7%
Hangul
ValueCountFrequency (%)
상 81
 
8.0%
김 72
 
7.1%
해 72
 
7.1%
호 72
 
7.1%
도 71
 
7.0%
시 71
 
7.0%
남 71
 
7.0%
경 71
 
7.0%
동 66
 
6.5%
번 66
 
6.5%
Other values (81) 304
29.9%

도로명주소
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:17:14.625569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length26.239437
Min length19

Characters and Unicode

Total characters1863
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

Unique71 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 가락로63번길 6 (부원동)
2nd row경상남도 김해시 분성로318번길 20-1 (부원동)
3rd row경상남도 김해시 가야로 183 (삼계동,위너스타운 107호)
4th row경상남도 김해시 진영읍 진영로 157-1
5th row경상남도 김해시 가락로63번길 13 (서상동)
ValueCountFrequency (%)
경상남도 71
 
18.0%
김해시 71
 
18.0%
2층 8
 
2.0%
진영읍 7
 
1.8%
분성로 6
 
1.5%
내동 6
 
1.5%
율하동 5
 
1.3%
1층 5
 
1.3%
3층 4
 
1.0%
구산동 4
 
1.0%
Other values (158) 208
52.7%
2023-12-12T13:17:15.082567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
17.5%
1 82
 
4.4%
상 81
 
4.3%
해 77
 
4.1%
김 76
 
4.1%
경 71
 
3.8%
남 71
 
3.8%
도 71
 
3.8%
시 71
 
3.8%
동 71
 
3.8%
Other values (111) 866
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1050
56.4%
Space Separator 326
 
17.5%
Decimal Number 322
 
17.3%
Open Punctuation 58
 
3.1%
Close Punctuation 58
 
3.1%
Other Punctuation 32
 
1.7%
Dash Punctuation 13
 
0.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 81
 
7.7%
해 77
 
7.3%
김 76
 
7.2%
경 71
 
6.8%
남 71
 
6.8%
도 71
 
6.8%
시 71
 
6.8%
동 71
 
6.8%
로 70
 
6.7%
번 21
 
2.0%
Other values (92) 370
35.2%
Decimal Number
ValueCountFrequency (%)
1 82
25.5%
2 50
15.5%
3 42
13.0%
6 32
 
9.9%
0 32
 
9.9%
5 23
 
7.1%
7 18
 
5.6%
8 17
 
5.3%
4 14
 
4.3%
9 12
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
D 1
25.0%
K 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1050
56.4%
Common 809
43.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 81
 
7.7%
해 77
 
7.3%
김 76
 
7.2%
경 71
 
6.8%
남 71
 
6.8%
도 71
 
6.8%
시 71
 
6.8%
동 71
 
6.8%
로 70
 
6.7%
번 21
 
2.0%
Other values (92) 370
35.2%
Common
ValueCountFrequency (%)
326
40.3%
1 82
 
10.1%
( 58
 
7.2%
) 58
 
7.2%
2 50
 
6.2%
3 42
 
5.2%
6 32
 
4.0%
0 32
 
4.0%
, 31
 
3.8%
5 23
 
2.8%
Other values (6) 75
 
9.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
D 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1050
56.4%
ASCII 813
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
40.1%
1 82
 
10.1%
( 58
 
7.1%
) 58
 
7.1%
2 50
 
6.2%
3 42
 
5.2%
6 32
 
3.9%
0 32
 
3.9%
, 31
 
3.8%
5 23
 
2.8%
Other values (9) 79
 
9.7%
Hangul
ValueCountFrequency (%)
상 81
 
7.7%
해 77
 
7.3%
김 76
 
7.2%
경 71
 
6.8%
남 71
 
6.8%
도 71
 
6.8%
시 71
 
6.8%
동 71
 
6.8%
로 70
 
6.7%
번 21
 
2.0%
Other values (92) 370
35.2%

위도
Real number (ℝ)

Distinct68
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.234799
Minimum35.167045
Maximum35.326817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T13:17:15.204755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.167045
5-th percentile35.172139
Q135.203076
median35.233687
Q335.249479
95-th percentile35.312034
Maximum35.326817
Range0.15977254
Interquartile range (IQR)0.046402545

Descriptive statistics

Standard deviation0.041539157
Coefficient of variation (CV)0.0011789242
Kurtosis-0.22959044
Mean35.234799
Median Absolute Deviation (MAD)0.02668034
Skewness0.43187005
Sum2501.6707
Variance0.0017255016
MonotonicityNot monotonic
2023-12-12T13:17:15.631113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.23368658 2
 
2.8%
35.1727988 2
 
2.8%
35.23210499 2
 
2.8%
35.23223659 1
 
1.4%
35.22817752 1
 
1.4%
35.23662597 1
 
1.4%
35.23215275 1
 
1.4%
35.18624692 1
 
1.4%
35.17457201 1
 
1.4%
35.17147926 1
 
1.4%
Other values (58) 58
81.7%
ValueCountFrequency (%)
35.16704478 1
1.4%
35.17017381 1
1.4%
35.17050213 1
1.4%
35.17147926 1
1.4%
35.1727988 2
2.8%
35.17457201 1
1.4%
35.17598878 1
1.4%
35.17994367 1
1.4%
35.18624692 1
1.4%
35.18661213 1
1.4%
ValueCountFrequency (%)
35.32681732 1
1.4%
35.32288704 1
1.4%
35.32108338 1
1.4%
35.31634141 1
1.4%
35.30772571 1
1.4%
35.30748586 1
1.4%
35.30653699 1
1.4%
35.30345364 1
1.4%
35.30312924 1
1.4%
35.30202855 1
1.4%

경도
Real number (ℝ)

Distinct68
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.8379
Minimum128.7298
Maximum128.90861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T13:17:15.805003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.7298
5-th percentile128.73623
Q1128.80841
median128.85572
Q3128.87274
95-th percentile128.89845
Maximum128.90861
Range0.1788011
Interquartile range (IQR)0.0643342

Descriptive statistics

Standard deviation0.046876258
Coefficient of variation (CV)0.00036383905
Kurtosis-0.24699873
Mean128.8379
Median Absolute Deviation (MAD)0.0329252
Skewness-0.68729998
Sum9147.4906
Variance0.0021973836
MonotonicityNot monotonic
2023-12-12T13:17:15.996443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8838953 2
 
2.8%
128.8156318 2
 
2.8%
128.8645317 2
 
2.8%
128.8812539 1
 
1.4%
128.8411677 1
 
1.4%
128.8813124 1
 
1.4%
128.8816265 1
 
1.4%
128.7968479 1
 
1.4%
128.8160118 1
 
1.4%
128.8227981 1
 
1.4%
Other values (58) 58
81.7%
ValueCountFrequency (%)
128.7298049 1
1.4%
128.7302965 1
1.4%
128.7347358 1
1.4%
128.7348434 1
1.4%
128.7376147 1
1.4%
128.7407954 1
1.4%
128.7754474 1
1.4%
128.7821971 1
1.4%
128.7943958 1
1.4%
128.7944697 1
1.4%
ValueCountFrequency (%)
128.908606 1
1.4%
128.9082359 1
1.4%
128.9042401 1
1.4%
128.9037168 1
1.4%
128.8931782 1
1.4%
128.8855922 1
1.4%
128.8842474 1
1.4%
128.8838953 2
2.8%
128.8820492 1
1.4%
128.8816265 1
1.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing48
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean128.45
Minimum21.12
Maximum401.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T13:17:16.115480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.12
5-th percentile30.5
Q162.15
median92.56
Q3154.71
95-th percentile316.512
Maximum401.82
Range380.7
Interquartile range (IQR)92.56

Descriptive statistics

Standard deviation100.99223
Coefficient of variation (CV)0.78623768
Kurtosis1.4776257
Mean128.45
Median Absolute Deviation (MAD)38.88
Skewness1.4453454
Sum2954.35
Variance10199.431
MonotonicityNot monotonic
2023-12-12T13:17:16.265382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
75.0 2
 
2.8%
76.19 1
 
1.4%
35.0 1
 
1.4%
240.0 1
 
1.4%
107.37 1
 
1.4%
92.56 1
 
1.4%
82.8 1
 
1.4%
53.68 1
 
1.4%
30.0 1
 
1.4%
132.0 1
 
1.4%
Other values (12) 12
 
16.9%
(Missing) 48
67.6%
ValueCountFrequency (%)
21.12 1
1.4%
30.0 1
1.4%
35.0 1
1.4%
51.2 1
1.4%
53.68 1
1.4%
61.5 1
1.4%
62.8 1
1.4%
75.0 2
2.8%
76.19 1
1.4%
82.8 1
1.4%
ValueCountFrequency (%)
401.82 1
1.4%
317.0 1
1.4%
312.12 1
1.4%
240.0 1
1.4%
180.64 1
1.4%
177.42 1
1.4%
132.0 1
1.4%
131.0 1
1.4%
124.23 1
1.4%
113.9 1
1.4%

Interactions

2023-12-12T13:17:11.736322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.044564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.433755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.837552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.212672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.555829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.926615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.331777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:11.649788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:17:16.365285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명영업상태명전화번호지번주소도로명주소위도경도소재지면적
사업장명1.0000.0001.0001.0001.0000.9641.0001.000
영업상태명0.0001.0001.0001.0001.0000.0000.0000.269
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.9640.0001.0001.0001.0001.0000.8590.000
경도1.0000.0001.0001.0001.0000.8591.0000.405
소재지면적1.0000.2691.0001.0001.0000.0000.4051.000
2023-12-12T13:17:16.487396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도소재지면적영업상태명
위도1.0000.094-0.2310.000
경도0.0941.000-0.0190.000
소재지면적-0.231-0.0191.0000.227
영업상태명0.0000.0000.2271.000

Missing values

2023-12-12T13:17:12.036615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:17:12.157081image/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.
2023-12-12T13:17:12.253070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업장명영업상태명전화번호지번주소도로명주소위도경도소재지면적
0중앙가축병원정상055-336-5141경상남도 김해시 부원동 833번지 27호경상남도 김해시 가락로63번길 6 (부원동)35.232237128.881254<NA>
1해조동물병원(산업동물 출장진료 전문동물병원)정상<NA>경상남도 김해시 부원동 835번지 8호경상남도 김해시 분성로318번길 20-1 (부원동)35.231535128.881059<NA>
2김해동물병원정상055-333-5645경상남도 김해시 삼계동 1486번지 1호 위너스타운 107호경상남도 김해시 가야로 183 (삼계동,위너스타운 107호)35.261165128.872237<NA>
3강 동물병원정상055-342-3060경상남도 김해시 진영읍 진영리 275번지 108호경상남도 김해시 진영읍 진영로 157-135.303454128.73029721.12
4고려동물병원정상055-325-0175경상남도 김해시 서상동 255번지 8호경상남도 김해시 가락로63번길 13 (서상동)35.231954128.880405<NA>
5박성식동물병원정상055-336-3636경상남도 김해시 동상동 735번지 30호경상남도 김해시 분성로 361 (동상동)35.234143128.885592<NA>
6세계로종합동물병원정상055-323-8275경상남도 김해시 내동 1119번지 1호 내외빌딩 109호경상남도 김해시 내외중앙로 75, 109호 (내동,내외빌딩)35.236803128.866757<NA>
7한빛동물병원정상055-321-3824경상남도 김해시 어방동 497번지 2호경상남도 김해시 인제로 159 (어방동)35.242797128.903717<NA>
8하늬동물병원정상055-345-8115경상남도 김해시 삼방동 176번지 5호경상남도 김해시 삼안로195번길 36 (삼방동)35.245053128.908236<NA>
9녹원동물병원정상055-346-0878경상남도 김해시 한림면 장방리 1063번지 1호경상남도 김해시 한림면 장방로222번길 46-6335.322887128.782197<NA>
사업장명영업상태명전화번호지번주소도로명주소위도경도소재지면적
61세인트동물병원폐업055-312-7555경상남도 김해시 삼계동 1489번지 6호 솔리드빌딩 2층경상남도 김해시 삼계중앙로 39, 2층 (삼계동)35.260834128.869387<NA>
6224시드림종합동물병원폐업055-335-8800경상남도 김해시 동상동 949-2(2층)경상남도 김해시 호계로 483, 2층 (동상동)35.233729128.884247<NA>
63위즈펫 동물병원(롯데마트 김해 부원점 펫가든)폐업<NA>경상남도 김해시 부원동 1041 롯데마트 김해부원점 3층경상남도 김해시 김해대로 2330, 3층35.225542128.88204992.56
64와르동물병원폐업055-325-7505경상남도 김해시 율하동 1352번지 1호 중앙프라자 201호경상남도 김해시 율하1로 110, 201호 (율하동)35.172799128.815632107.37
65정 동물병원(산업동물 출장진료 전문동물병원)폐업<NA>경상남도 김해시 내동 131번지 11호경상남도 김해시 금관대로1365번길 4-5 (내동)35.24494128.865976240.0
66짱동물병원폐업055-322-2225경상남도 김해시 율하동 1372-5경상남도 김해시 율하2로 248 (율하동)35.175989128.82110935.0
67금관대로 동물병원폐업055-321-7580경상남도 김해시 내동 1097번지 1호경상남도 김해시 금관대로 1290, 1층 (내동)35.239332128.861027<NA>
68김형길동물병원폐업055-311-2221경상남도 김해시 외동 1249번지 4호 주상가동 165,166호경상남도 김해시 함박로 102, 주상가동 165,166호 (외동, 한국2차아파트)35.232105128.864532<NA>
69코아동물병원폐업055-541-9002경상남도 김해시 부곡동 1160번지 1호경상남도 김해시 능동로155번길 10-8, 1층 102호 (부곡동)35.203245128.80815<NA>
70황수의동물병원폐업<NA>경상남도 김해시 생림면 봉림리 576번지 4호경상남도 김해시 생림면 봉림로 27, 3층35.326817128.848866<NA>