Overview

Dataset statistics

Number of variables8
Number of observations76
Missing cells56
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory68.7 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://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033370

Alerts

소재지면적 is highly overall correlated with 영업상태명High correlation
영업상태명 is highly overall correlated with 소재지면적High correlation
전화번호 has 10 (13.2%) missing valuesMissing
도로명주소 has 1 (1.3%) missing valuesMissing
소재지면적 has 45 (59.2%) missing valuesMissing
소재지면적 has 5 (6.6%) zerosZeros

Reproduction

Analysis started2024-04-20 18:26:49.973728
Analysis finished2024-04-20 18:26:53.578080
Duration3.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct70
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size736.0 B
2024-04-21T03:26:54.142807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length8.6973684
Min length5

Characters and Unicode

Total characters661
Distinct characters143
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

Unique65 ?
Unique (%)85.5%

Sample

1st row진영조은동물병원
2nd row스마일동물병원
3rd row탑스동물병원
4th row서창덕동물병원(산업동물 출장진료 전문 동물병원)
5th row주주동물병원
ValueCountFrequency (%)
동물병원 14
 
12.5%
윤 3
 
2.7%
출장진료 3
 
2.7%
율하 3
 
2.7%
스마일동물병원 2
 
1.8%
도그플러스동물병원 2
 
1.8%
퍼스트 2
 
1.8%
동물의료센터 2
 
1.8%
전문동물병원 2
 
1.8%
진영조은동물병원 2
 
1.8%
Other values (75) 77
68.8%
2024-04-21T03:26:55.026674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 80
 
12.1%
물 79
 
12.0%
원 77
 
11.6%
병 75
 
11.3%
36
 
5.4%
스 10
 
1.5%
진 8
 
1.2%
합 7
 
1.1%
료 7
 
1.1%
장 7
 
1.1%
Other values (133) 275
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
92.4%
Space Separator 36
 
5.4%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
 
13.1%
물 79
 
12.9%
원 77
 
12.6%
병 75
 
12.3%
스 10
 
1.6%
진 8
 
1.3%
합 7
 
1.1%
료 7
 
1.1%
장 7
 
1.1%
종 6
 
1.0%
Other values (128) 255
41.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
92.1%
Common 50
 
7.6%
Han 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
 
13.1%
물 79
 
13.0%
원 77
 
12.6%
병 75
 
12.3%
스 10
 
1.6%
진 8
 
1.3%
합 7
 
1.1%
료 7
 
1.1%
장 7
 
1.1%
종 6
 
1.0%
Other values (126) 253
41.5%
Common
ValueCountFrequency (%)
36
72.0%
( 6
 
12.0%
) 6
 
12.0%
4 1
 
2.0%
2 1
 
2.0%
Han
ValueCountFrequency (%)
農 1
50.0%
和 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
92.1%
ASCII 50
 
7.6%
CJK 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 80
 
13.1%
물 79
 
13.0%
원 77
 
12.6%
병 75
 
12.3%
스 10
 
1.6%
진 8
 
1.3%
합 7
 
1.1%
료 7
 
1.1%
장 7
 
1.1%
종 6
 
1.0%
Other values (126) 253
41.5%
ASCII
ValueCountFrequency (%)
36
72.0%
( 6
 
12.0%
) 6
 
12.0%
4 1
 
2.0%
2 1
 
2.0%
CJK
ValueCountFrequency (%)
農 1
50.0%
和 1
50.0%

영업상태명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size736.0 B
영업
48 
폐업
27 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업 48
63.2%
폐업 27
35.5%
휴업 1
 
1.3%

Length

2024-04-21T03:26:55.249840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:26:55.428260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 48
63.2%
폐업 27
35.5%
휴업 1
 
1.3%

전화번호
Text

MISSING 

Distinct60
Distinct (%)90.9%
Missing10
Missing (%)13.2%
Memory size736.0 B
2024-04-21T03:26:56.235840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters794
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

Unique54 ?
Unique (%)81.8%

Sample

1st row055-343-7586
2nd row070-4064-8275
3rd row055-336-0075
4th row055-324-0045
5th row055-345-1612
ValueCountFrequency (%)
055-312-8275 2
 
3.0%
055-312-7555 2
 
3.0%
055-325-7505 2
 
3.0%
055-313-0975 2
 
3.0%
055-343-7586 2
 
3.0%
055-335-8800 2
 
3.0%
055-9022-4515 1
 
1.5%
055-321-7580 1
 
1.5%
055-724-1559 1
 
1.5%
055-331-7575 1
 
1.5%
Other values (50) 50
75.8%
2024-04-21T03:26:57.289375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 193
24.3%
- 132
16.6%
3 110
13.9%
0 103
13.0%
2 59
 
7.4%
7 48
 
6.0%
1 43
 
5.4%
4 33
 
4.2%
8 30
 
3.8%
6 24
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 662
83.4%
Dash Punctuation 132
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 193
29.2%
3 110
16.6%
0 103
15.6%
2 59
 
8.9%
7 48
 
7.3%
1 43
 
6.5%
4 33
 
5.0%
8 30
 
4.5%
6 24
 
3.6%
9 19
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 193
24.3%
- 132
16.6%
3 110
13.9%
0 103
13.0%
2 59
 
7.4%
7 48
 
6.0%
1 43
 
5.4%
4 33
 
4.2%
8 30
 
3.8%
6 24
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 193
24.3%
- 132
16.6%
3 110
13.9%
0 103
13.0%
2 59
 
7.4%
7 48
 
6.0%
1 43
 
5.4%
4 33
 
4.2%
8 30
 
3.8%
6 24
 
3.0%

지번주소
Text

Distinct71
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size736.0 B
2024-04-21T03:26:58.293364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length22.565789
Min length16

Characters and Unicode

Total characters1715
Distinct characters105
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)86.8%

Sample

1st row경상남도 김해시 진영읍 여래리 970번지
2nd row경상남도 김해시 외동 533-2번지
3rd row경상남도 김해시 구산동 1051-2번지 탑스존 1층 108호
4th row경상남도 김해시 한림면 장방리 1253-26
5th row경상남도 김해시 관동동 590번지
ValueCountFrequency (%)
경상남도 76
21.7%
김해시 76
21.7%
진영읍 8
 
2.3%
내동 7
 
2.0%
대청동 6
 
1.7%
동상동 6
 
1.7%
율하동 5
 
1.4%
부원동 5
 
1.4%
삼계동 4
 
1.1%
서상동 4
 
1.1%
Other values (116) 153
43.7%
2024-04-21T03:26:59.586928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
16.0%
1 104
 
6.1%
상 88
 
5.1%
해 78
 
4.5%
경 76
 
4.4%
남 76
 
4.4%
도 76
 
4.4%
김 76
 
4.4%
시 76
 
4.4%
동 73
 
4.3%
Other values (95) 718
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
57.5%
Decimal Number 379
 
22.1%
Space Separator 274
 
16.0%
Dash Punctuation 67
 
3.9%
Uppercase Letter 6
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 88
 
8.9%
해 78
 
7.9%
경 76
 
7.7%
남 76
 
7.7%
도 76
 
7.7%
김 76
 
7.7%
시 76
 
7.7%
동 73
 
7.4%
번 59
 
6.0%
지 59
 
6.0%
Other values (78) 249
25.3%
Decimal Number
ValueCountFrequency (%)
1 104
27.4%
3 46
12.1%
2 45
11.9%
0 38
 
10.0%
4 32
 
8.4%
5 27
 
7.1%
7 25
 
6.6%
9 23
 
6.1%
8 20
 
5.3%
6 19
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
D 2
33.3%
K 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
57.5%
Common 723
42.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 88
 
8.9%
해 78
 
7.9%
경 76
 
7.7%
남 76
 
7.7%
도 76
 
7.7%
김 76
 
7.7%
시 76
 
7.7%
동 73
 
7.4%
번 59
 
6.0%
지 59
 
6.0%
Other values (78) 249
25.3%
Common
ValueCountFrequency (%)
274
37.9%
1 104
 
14.4%
- 67
 
9.3%
3 46
 
6.4%
2 45
 
6.2%
0 38
 
5.3%
4 32
 
4.4%
5 27
 
3.7%
7 25
 
3.5%
9 23
 
3.2%
Other values (4) 42
 
5.8%
Latin
ValueCountFrequency (%)
B 3
50.0%
D 2
33.3%
K 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
57.5%
ASCII 729
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
37.6%
1 104
 
14.3%
- 67
 
9.2%
3 46
 
6.3%
2 45
 
6.2%
0 38
 
5.2%
4 32
 
4.4%
5 27
 
3.7%
7 25
 
3.4%
9 23
 
3.2%
Other values (7) 48
 
6.6%
Hangul
ValueCountFrequency (%)
상 88
 
8.9%
해 78
 
7.9%
경 76
 
7.7%
남 76
 
7.7%
도 76
 
7.7%
김 76
 
7.7%
시 76
 
7.7%
동 73
 
7.4%
번 59
 
6.0%
지 59
 
6.0%
Other values (78) 249
25.3%

도로명주소
Text

MISSING 

Distinct70
Distinct (%)93.3%
Missing1
Missing (%)1.3%
Memory size736.0 B
2024-04-21T03:27:00.451495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length25.626667
Min length16

Characters and Unicode

Total characters1922
Distinct characters118
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

Unique66 ?
Unique (%)88.0%

Sample

1st row경상남도 김해시 진영읍 본산로 9, 3층
2nd row경상남도 김해시 분성로 116 (외동)
3rd row경상남도 김해시 삼계로 30, 108호 (구산동, 탑스존)
4th row경상남도 김해시 한림면 한림로 376-1, 1층
5th row경상남도 김해시 덕정로 85 (관동동)
ValueCountFrequency (%)
경상남도 75
 
18.2%
김해시 75
 
18.2%
진영읍 8
 
1.9%
분성로 7
 
1.7%
2층 7
 
1.7%
내동 6
 
1.5%
동상동 5
 
1.2%
부원동 5
 
1.2%
율하동 5
 
1.2%
1층 4
 
1.0%
Other values (146) 215
52.2%
2024-04-21T03:27:01.575282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
 
17.5%
상 86
 
4.5%
해 82
 
4.3%
김 81
 
4.2%
1 78
 
4.1%
경 76
 
4.0%
남 75
 
3.9%
도 75
 
3.9%
시 75
 
3.9%
로 75
 
3.9%
Other values (108) 882
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1092
56.8%
Space Separator 337
 
17.5%
Decimal Number 323
 
16.8%
Close Punctuation 59
 
3.1%
Open Punctuation 59
 
3.1%
Other Punctuation 37
 
1.9%
Dash Punctuation 13
 
0.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 86
 
7.9%
해 82
 
7.5%
김 81
 
7.4%
경 76
 
7.0%
남 75
 
6.9%
도 75
 
6.9%
시 75
 
6.9%
로 75
 
6.9%
동 70
 
6.4%
번 22
 
2.0%
Other values (91) 375
34.3%
Decimal Number
ValueCountFrequency (%)
1 78
24.1%
2 49
15.2%
3 46
14.2%
6 33
10.2%
0 32
9.9%
5 26
 
8.0%
8 19
 
5.9%
9 14
 
4.3%
4 13
 
4.0%
7 13
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1092
56.8%
Common 828
43.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 86
 
7.9%
해 82
 
7.5%
김 81
 
7.4%
경 76
 
7.0%
남 75
 
6.9%
도 75
 
6.9%
시 75
 
6.9%
로 75
 
6.9%
동 70
 
6.4%
번 22
 
2.0%
Other values (91) 375
34.3%
Common
ValueCountFrequency (%)
337
40.7%
1 78
 
9.4%
) 59
 
7.1%
( 59
 
7.1%
2 49
 
5.9%
3 46
 
5.6%
, 37
 
4.5%
6 33
 
4.0%
0 32
 
3.9%
5 26
 
3.1%
Other values (5) 72
 
8.7%
Latin
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1092
56.8%
ASCII 830
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
40.6%
1 78
 
9.4%
) 59
 
7.1%
( 59
 
7.1%
2 49
 
5.9%
3 46
 
5.5%
, 37
 
4.5%
6 33
 
4.0%
0 32
 
3.9%
5 26
 
3.1%
Other values (7) 74
 
8.9%
Hangul
ValueCountFrequency (%)
상 86
 
7.9%
해 82
 
7.5%
김 81
 
7.4%
경 76
 
7.0%
남 75
 
6.9%
도 75
 
6.9%
시 75
 
6.9%
로 75
 
6.9%
동 70
 
6.4%
번 22
 
2.0%
Other values (91) 375
34.3%

위도
Real number (ℝ)

Distinct65
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.233951
Minimum35.167059
Maximum35.322903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size812.0 B
2024-04-21T03:27:01.807205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.167059
5-th percentile35.172481
Q135.203168
median35.233683
Q335.24607
95-th percentile35.307579
Maximum35.322903
Range0.15584401
Interquartile range (IQR)0.042902205

Descriptive statistics

Standard deviation0.039654261
Coefficient of variation (CV)0.001125456
Kurtosis-0.13227888
Mean35.233951
Median Absolute Deviation (MAD)0.020500905
Skewness0.44768497
Sum2677.7803
Variance0.0015724604
MonotonicityNot monotonic
2024-04-21T03:27:02.074999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.23373014 3
 
3.9%
35.18659982 3
 
3.9%
35.22554972 2
 
2.6%
35.19304671 2
 
2.6%
35.23279604 2
 
2.6%
35.2336835 2
 
2.6%
35.1728098 2
 
2.6%
35.30661302 2
 
2.6%
35.23099948 2
 
2.6%
35.20325393 1
 
1.3%
Other values (55) 55
72.4%
ValueCountFrequency (%)
35.16705852 1
 
1.3%
35.17017665 1
 
1.3%
35.17051839 1
 
1.3%
35.17149466 1
 
1.3%
35.1728098 2
2.6%
35.17600289 1
 
1.3%
35.18000388 1
 
1.3%
35.18659982 3
3.9%
35.18814766 1
 
1.3%
35.19273213 1
 
1.3%
ValueCountFrequency (%)
35.32290253 1
1.3%
35.3210762 1
1.3%
35.31643933 1
1.3%
35.30781674 1
1.3%
35.30749952 1
1.3%
35.30661302 2
2.6%
35.3033995 1
1.3%
35.30312795 1
1.3%
35.30202655 1
1.3%
35.28728373 1
1.3%

경도
Real number (ℝ)

Distinct65
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.83807
Minimum128.72981
Maximum128.90869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size812.0 B
2024-04-21T03:27:02.513036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.72981
5-th percentile128.73695
Q1128.80737
median128.8603
Q3128.87843
95-th percentile128.89582
Maximum128.90869
Range0.1788803
Interquartile range (IQR)0.07105475

Descriptive statistics

Standard deviation0.048156294
Coefficient of variation (CV)0.00037377379
Kurtosis-0.38790214
Mean128.83807
Median Absolute Deviation (MAD)0.0332292
Skewness-0.69352632
Sum9791.6933
Variance0.0023190286
MonotonicityNot monotonic
2024-04-21T03:27:02.960114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8842618 3
 
3.9%
128.7974749 3
 
3.9%
128.8820857 2
 
2.6%
128.8012997 2
 
2.6%
128.8777669 2
 
2.6%
128.883907 2
 
2.6%
128.8156584 2
 
2.6%
128.7376419 2
 
2.6%
128.8639083 2
 
2.6%
128.8081599 1
 
1.3%
Other values (55) 55
72.4%
ValueCountFrequency (%)
128.7298085 1
1.3%
128.7303741 1
1.3%
128.7347487 1
1.3%
128.7348613 1
1.3%
128.7376419 2
2.6%
128.7408926 1
1.3%
128.7756278 1
1.3%
128.7822066 1
1.3%
128.7944136 1
1.3%
128.7946866 1
1.3%
ValueCountFrequency (%)
128.9086888 1
 
1.3%
128.9082514 1
 
1.3%
128.9042331 1
 
1.3%
128.9036794 1
 
1.3%
128.893196 1
 
1.3%
128.885596 1
 
1.3%
128.8842618 3
3.9%
128.883907 2
2.6%
128.8820857 2
2.6%
128.881617 1
 
1.3%

소재지면적
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)83.9%
Missing45
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean115.21742
Minimum0
Maximum513.76
Zeros5
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size812.0 B
2024-04-21T03:27:03.353958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134.5
median76.19
Q3131.5
95-th percentile359.41
Maximum513.76
Range513.76
Interquartile range (IQR)97

Descriptive statistics

Standard deviation124.05282
Coefficient of variation (CV)1.0766846
Kurtosis2.9627303
Mean115.21742
Median Absolute Deviation (MAD)48.04
Skewness1.7533978
Sum3571.74
Variance15389.103
MonotonicityNot monotonic
2024-04-21T03:27:03.742058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 5
 
6.6%
75.0 2
 
2.6%
82.0 1
 
1.3%
513.76 1
 
1.3%
34.0 1
 
1.3%
30.0 1
 
1.3%
92.56 1
 
1.3%
95.0 1
 
1.3%
240.0 1
 
1.3%
53.68 1
 
1.3%
Other values (16) 16
 
21.1%
(Missing) 45
59.2%
ValueCountFrequency (%)
0.0 5
6.6%
21.12 1
 
1.3%
30.0 1
 
1.3%
34.0 1
 
1.3%
35.0 1
 
1.3%
51.2 1
 
1.3%
53.68 1
 
1.3%
61.5 1
 
1.3%
62.8 1
 
1.3%
75.0 2
 
2.6%
ValueCountFrequency (%)
513.76 1
1.3%
401.82 1
1.3%
317.0 1
1.3%
312.12 1
1.3%
240.0 1
1.3%
180.64 1
1.3%
177.42 1
1.3%
132.0 1
1.3%
131.0 1
1.3%
124.23 1
1.3%

Interactions

2024-04-21T03:26:52.395662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:51.422987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:51.912529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:52.550299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:51.595535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:52.084463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:52.707028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:51.762667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:26:52.246160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:27:03.994155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명영업상태명전화번호지번주소도로명주소위도경도소재지면적
사업장명1.0000.8310.9980.9940.9971.0001.0000.000
영업상태명0.8311.0000.0000.9420.9410.0000.0000.750
전화번호0.9980.0001.0000.9920.9910.9951.0000.000
지번주소0.9940.9420.9921.0001.0001.0001.0000.899
도로명주소0.9970.9410.9911.0001.0001.0001.0000.782
위도1.0000.0000.9951.0001.0001.0000.8640.000
경도1.0000.0001.0001.0001.0000.8641.0000.551
소재지면적0.0000.7500.0000.8990.7820.0000.5511.000
2024-04-21T03:27:04.280806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도소재지면적영업상태명
위도1.0000.075-0.2580.000
경도0.0751.0000.2030.000
소재지면적-0.2580.2031.0000.509
영업상태명0.0000.0000.5091.000

Missing values

2024-04-21T03:26:53.101850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:26:53.314637image/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.
2024-04-21T03:26:53.488362image/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
0진영조은동물병원영업055-343-7586경상남도 김해시 진영읍 여래리 970번지경상남도 김해시 진영읍 본산로 9, 3층35.306613128.737642<NA>
1스마일동물병원영업070-4064-8275경상남도 김해시 외동 533-2번지경상남도 김해시 분성로 116 (외동)35.230477128.859649<NA>
2탑스동물병원영업055-336-0075경상남도 김해시 구산동 1051-2번지 탑스존 1층 108호경상남도 김해시 삼계로 30, 108호 (구산동, 탑스존)35.257089128.869558<NA>
3서창덕동물병원(산업동물 출장진료 전문 동물병원)영업<NA>경상남도 김해시 한림면 장방리 1253-26경상남도 김해시 한림면 한림로 376-1, 1층35.321076128.80292876.19
4주주동물병원영업055-324-0045경상남도 김해시 관동동 590번지경상남도 김해시 덕정로 85 (관동동)35.180004128.794687<NA>
5라임동물병원영업055-345-1612경상남도 김해시 진영읍 진영리 1612-6번지경상남도 김해시 진영읍 김해대로361번길 8, 202호 (굿프라임빌딩)35.3075128.729808131.0
6스마일동물병원(출장전문진료병원)영업<NA>경상남도 김해시 내덕동 231-3번지경상남도 김해시 내덕로86번길 26-11 (내덕동)35.204708128.818434<NA>
7다독다독동물병원영업055-331-7582경상남도 김해시 대청동 286-5경상남도 김해시 계동로137번길 4-14 (대청동)35.188148128.794414312.12
8農和동물병원(산업동물출장진료전문)영업<NA>경상남도 김해시 봉황동 26-8번지경상남도 김해시 가락로7번길 18 (봉황동)35.227235128.880666<NA>
9연지동물병원영업055-342-7700경상남도 김해시 구산동 1082-7번지경상남도 김해시 김해대로 1968 (구산동)35.25128128.867571<NA>
사업장명영업상태명전화번호지번주소도로명주소위도경도소재지면적
66위즈펫 동물병원(롯데마트 김해 부원점 펫가든)폐업<NA>경상남도 김해시 부원동 1041경상남도 김해시 김해대로 2330 (부원동, 롯데마트)35.22555128.88208692.56
67스마일동물병원폐업055-326-9575경상남도 김해시 내동 1121-4번지 110호경상남도 김해시 경원로55번길 235.237294128.86643430.0
68윤 동물병원폐업055-312-8275경상남도 김해시 대청동 321-7번지 영해B/D 203호경상남도 김해시 대청로 13135.1866128.79747534.0
69다사랑동물병원폐업055-343-0204경상남도 김해시 동상동 951-4번지경상남도 김해시 분성로 34835.233683128.88390775.0
70윤 동물병원폐업055-312-8275경상남도 김해시 대청동 321-7번지 영해B/D 203호경상남도 김해시 대청로 13135.1866128.797475513.76
71최 수의과병원폐업055-338-1975경상남도 김해시 주촌면 내삼리 196-2번지<NA>35.241149128.809020.0
72윤 동물병원폐업055-321-8275경상남도 김해시 대청동 321-7번지경상남도 김해시 대청로 13135.1866128.7974750.0
73부경양돈농협동물병원폐업<NA>경상남도 김해시 진영읍 본산리 13경상남도 김해시 진영읍 장방로 136-20035.316439128.7756280.0
74늘푸른 동물병원폐업055-338-7584경상남도 김해시 무계동 155-11번지경상남도 김해시 능동로 17935.203906128.8101910.0
75현대가축병원폐업055-343-2128경상남도 김해시 진영읍 여래리 393-4번지경상남도 김해시 진영읍 진영로 256-335.302027128.7408930.0