Overview

Dataset statistics

Number of variables10
Number of observations45
Missing cells28
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory84.9 B

Variable types

Numeric2
Categorical1
Text4
DateTime1
Boolean2

Dataset

Description경상남도 양산시의 방문목욕서비스가 가능한 요양기관 현황으로 시설명, 주소, 전화번호, 개원일, 주야간보호여부, 홈페이지, 요양보호사수, 주차장유무를 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15105134/fileData.do

Alerts

구분 has constant value ""Constant
주야간보호여부 is highly imbalanced (64.7%)Imbalance
주소 has 1 (2.2%) missing valuesMissing
홈페이지 has 24 (53.3%) missing valuesMissing
개원일 has 3 (6.7%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:20:08.759580
Analysis finished2023-12-12 13:20:09.719735
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T22:20:09.789860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-12T22:20:10.223926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
방문요양-방문목욕
45 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방문요양-방문목욕
2nd row방문요양-방문목욕
3rd row방문요양-방문목욕
4th row방문요양-방문목욕
5th row방문요양-방문목욕

Common Values

ValueCountFrequency (%)
방문요양-방문목욕 45
100.0%

Length

2023-12-12T22:20:10.385998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:20:10.508245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양-방문목욕 45
100.0%

기관명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T22:20:10.734643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length10.111111
Min length8

Characters and Unicode

Total characters455
Distinct characters116
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

Unique45 ?
Unique (%)100.0%

Sample

1st row늘푸른요양보호사 파견센타
2nd row우원재가노인복지센터
3rd row참조은재가복지센터
4th row신도시재가복지센터
5th row나눔과 돌봄 사회적협동조합
ValueCountFrequency (%)
늘푸른요양보호사 1
 
2.0%
모아재가방문요양센터 1
 
2.0%
나래재가복지센터 1
 
2.0%
하나재가케어센터 1
 
2.0%
경남주간노인복지센터 1
 
2.0%
금곡재가노인복지센터 1
 
2.0%
행복노인복지센터 1
 
2.0%
진샘재가방문요양센터 1
 
2.0%
우리빛들노인재가복지센터 1
 
2.0%
인애재가노인복지센터 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T22:20:11.143105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 43
 
9.5%
터 41
 
9.0%
복 35
 
7.7%
가 35
 
7.7%
지 33
 
7.3%
재 32
 
7.0%
인 22
 
4.8%
노 20
 
4.4%
양 9
 
2.0%
요 7
 
1.5%
Other values (106) 178
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
96.7%
Space Separator 6
 
1.3%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Lowercase Letter 2
 
0.4%
Decimal Number 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 43
 
9.8%
터 41
 
9.3%
복 35
 
8.0%
가 35
 
8.0%
지 33
 
7.5%
재 32
 
7.3%
인 22
 
5.0%
노 20
 
4.5%
양 9
 
2.0%
요 7
 
1.6%
Other values (98) 163
37.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
96.7%
Common 12
 
2.6%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 43
 
9.8%
터 41
 
9.3%
복 35
 
8.0%
가 35
 
8.0%
지 33
 
7.5%
재 32
 
7.3%
인 22
 
5.0%
노 20
 
4.5%
양 9
 
2.0%
요 7
 
1.6%
Other values (98) 163
37.0%
Common
ValueCountFrequency (%)
6
50.0%
( 2
 
16.7%
) 2
 
16.7%
0 1
 
8.3%
8 1
 
8.3%
Latin
ValueCountFrequency (%)
h 1
33.3%
e 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
96.7%
ASCII 15
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 43
 
9.8%
터 41
 
9.3%
복 35
 
8.0%
가 35
 
8.0%
지 33
 
7.5%
재 32
 
7.3%
인 22
 
5.0%
노 20
 
4.5%
양 9
 
2.0%
요 7
 
1.6%
Other values (98) 163
37.0%
ASCII
ValueCountFrequency (%)
6
40.0%
( 2
 
13.3%
) 2
 
13.3%
h 1
 
6.7%
e 1
 
6.7%
T 1
 
6.7%
0 1
 
6.7%
8 1
 
6.7%

주소
Text

MISSING 

Distinct42
Distinct (%)95.5%
Missing1
Missing (%)2.2%
Memory size492.0 B
2023-12-12T22:20:11.392760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.75
Min length15

Characters and Unicode

Total characters781
Distinct characters65
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

Unique40 ?
Unique (%)90.9%

Sample

1st row경상남도 양산시 물금읍 화합1길 32
2nd row경상남도 양산시 양주3길 43-13
3rd row경상남도 양산시 물금읍 황산로 647
4th row경상남도 양산시 양산역로 103
5th row경상남도 양산시 중앙로 36
ValueCountFrequency (%)
경상남도 44
23.2%
양산시 44
23.2%
물금읍 10
 
5.3%
794 2
 
1.1%
17 2
 
1.1%
덕계2길 2
 
1.1%
양주5길 2
 
1.1%
중앙로 2
 
1.1%
웅상대로 2
 
1.1%
동면 2
 
1.1%
Other values (70) 78
41.1%
2023-12-12T22:20:11.894593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
18.7%
산 51
 
6.5%
양 50
 
6.4%
남 47
 
6.0%
상 47
 
6.0%
경 44
 
5.6%
도 44
 
5.6%
시 44
 
5.6%
1 32
 
4.1%
로 23
 
2.9%
Other values (55) 253
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
63.4%
Space Separator 146
 
18.7%
Decimal Number 130
 
16.6%
Dash Punctuation 10
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 51
10.3%
양 50
10.1%
남 47
9.5%
상 47
9.5%
경 44
 
8.9%
도 44
 
8.9%
시 44
 
8.9%
로 23
 
4.6%
길 21
 
4.2%
물 11
 
2.2%
Other values (43) 113
22.8%
Decimal Number
ValueCountFrequency (%)
1 32
24.6%
5 20
15.4%
3 15
11.5%
2 11
 
8.5%
6 10
 
7.7%
7 9
 
6.9%
8 9
 
6.9%
4 9
 
6.9%
0 8
 
6.2%
9 7
 
5.4%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
63.4%
Common 286
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 51
10.3%
양 50
10.1%
남 47
9.5%
상 47
9.5%
경 44
 
8.9%
도 44
 
8.9%
시 44
 
8.9%
로 23
 
4.6%
길 21
 
4.2%
물 11
 
2.2%
Other values (43) 113
22.8%
Common
ValueCountFrequency (%)
146
51.0%
1 32
 
11.2%
5 20
 
7.0%
3 15
 
5.2%
2 11
 
3.8%
- 10
 
3.5%
6 10
 
3.5%
7 9
 
3.1%
8 9
 
3.1%
4 9
 
3.1%
Other values (2) 15
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
63.4%
ASCII 286
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
51.0%
1 32
 
11.2%
5 20
 
7.0%
3 15
 
5.2%
2 11
 
3.8%
- 10
 
3.5%
6 10
 
3.5%
7 9
 
3.1%
8 9
 
3.1%
4 9
 
3.1%
Other values (2) 15
 
5.2%
Hangul
ValueCountFrequency (%)
산 51
10.3%
양 50
10.1%
남 47
9.5%
상 47
9.5%
경 44
 
8.9%
도 44
 
8.9%
시 44
 
8.9%
로 23
 
4.6%
길 21
 
4.2%
물 11
 
2.2%
Other values (43) 113
22.8%

전화번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T22:20:12.147119image/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 row055-364-5591
2nd row055-366-5422
3rd row055-385-4511
4th row055-364-3900
5th row055-383-3147
ValueCountFrequency (%)
055-364-5591 1
 
2.2%
055-383-4050 1
 
2.2%
055-362-5606 1
 
2.2%
055-367-8455 1
 
2.2%
055-367-7042 1
 
2.2%
070-8624-5902 1
 
2.2%
055-362-1162 1
 
2.2%
055-363-9987 1
 
2.2%
055-913-9766 1
 
2.2%
055-388-5422 1
 
2.2%
Other values (35) 35
77.8%
2023-12-12T22:20:12.543342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 113
20.9%
- 90
16.6%
0 71
13.1%
3 67
12.4%
6 43
 
7.9%
8 37
 
6.8%
1 26
 
4.8%
2 26
 
4.8%
4 25
 
4.6%
7 23
 
4.3%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 113
25.1%
0 71
15.7%
3 67
14.9%
6 43
 
9.5%
8 37
 
8.2%
1 26
 
5.8%
2 26
 
5.8%
4 25
 
5.5%
7 23
 
5.1%
9 20
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 113
20.9%
- 90
16.6%
0 71
13.1%
3 67
12.4%
6 43
 
7.9%
8 37
 
6.8%
1 26
 
4.8%
2 26
 
4.8%
4 25
 
4.6%
7 23
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 113
20.9%
- 90
16.6%
0 71
13.1%
3 67
12.4%
6 43
 
7.9%
8 37
 
6.8%
1 26
 
4.8%
2 26
 
4.8%
4 25
 
4.6%
7 23
 
4.3%

홈페이지
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing24
Missing (%)53.3%
Memory size492.0 B
2023-12-12T22:20:12.815493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length28.47619
Min length13

Characters and Unicode

Total characters598
Distinct characters42
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowhttp://cafe.naver.com/evergreen120
2nd rowhttp://blog.naver.com/kjrlotte7
3rd rowhttp://nanum3147.com/
4th rowhttp://sunhan5233.modoo.at
5th rowhttp://cafe.daum.net/sicercarehome
ValueCountFrequency (%)
http://cafe.naver.com/evergreen120 1
 
4.8%
http://cafe.daum.net//jinsaem7042 1
 
4.8%
http://blog.naver.com/kndaycare 1
 
4.8%
https://sites.google.com/view/soju2017 1
 
4.8%
http://i-web.kr/bjc2001 1
 
4.8%
http://blog.naver.com/khss1651 1
 
4.8%
http://blog.naver.com/pigdream64 1
 
4.8%
http://yud.kr 1
 
4.8%
http://cafe.daum.net/s.care 1
 
4.8%
https://m.blog.naver.com/work1959 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T22:20:13.195120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 59
 
9.9%
t 51
 
8.5%
. 43
 
7.2%
e 35
 
5.9%
o 33
 
5.5%
a 32
 
5.4%
h 28
 
4.7%
p 24
 
4.0%
r 24
 
4.0%
n 23
 
3.8%
Other values (32) 246
41.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 423
70.7%
Other Punctuation 123
 
20.6%
Decimal Number 38
 
6.4%
Other Letter 12
 
2.0%
Connector Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 51
 
12.1%
e 35
 
8.3%
o 33
 
7.8%
a 32
 
7.6%
h 28
 
6.6%
p 24
 
5.7%
r 24
 
5.7%
n 23
 
5.4%
c 22
 
5.2%
m 22
 
5.2%
Other values (13) 129
30.5%
Decimal Number
ValueCountFrequency (%)
1 8
21.1%
0 6
15.8%
2 6
15.8%
7 4
10.5%
9 3
 
7.9%
4 3
 
7.9%
5 3
 
7.9%
3 3
 
7.9%
6 2
 
5.3%
Other Letter
ValueCountFrequency (%)
양 4
33.3%
산 2
16.7%
방 2
16.7%
문 2
16.7%
요 2
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 59
48.0%
. 43
35.0%
: 21
 
17.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 423
70.7%
Common 163
 
27.3%
Hangul 12
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 51
 
12.1%
e 35
 
8.3%
o 33
 
7.8%
a 32
 
7.6%
h 28
 
6.6%
p 24
 
5.7%
r 24
 
5.7%
n 23
 
5.4%
c 22
 
5.2%
m 22
 
5.2%
Other values (13) 129
30.5%
Common
ValueCountFrequency (%)
/ 59
36.2%
. 43
26.4%
: 21
 
12.9%
1 8
 
4.9%
0 6
 
3.7%
2 6
 
3.7%
7 4
 
2.5%
9 3
 
1.8%
4 3
 
1.8%
5 3
 
1.8%
Other values (4) 7
 
4.3%
Hangul
ValueCountFrequency (%)
양 4
33.3%
산 2
16.7%
방 2
16.7%
문 2
16.7%
요 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 586
98.0%
Hangul 12
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 59
 
10.1%
t 51
 
8.7%
. 43
 
7.3%
e 35
 
6.0%
o 33
 
5.6%
a 32
 
5.5%
h 28
 
4.8%
p 24
 
4.1%
r 24
 
4.1%
n 23
 
3.9%
Other values (27) 234
39.9%
Hangul
ValueCountFrequency (%)
양 4
33.3%
산 2
16.7%
방 2
16.7%
문 2
16.7%
요 2
16.7%

개원일
Date

MISSING 

Distinct41
Distinct (%)97.6%
Missing3
Missing (%)6.7%
Memory size492.0 B
Minimum2008-07-28 00:00:00
Maximum2022-07-22 00:00:00
2023-12-12T22:20:13.346444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:20:13.500583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

요양보호사수
Real number (ℝ)

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.866667
Minimum5
Maximum319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T22:20:13.644394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12
Q127
median48
Q391
95-th percentile190.2
Maximum319
Range314
Interquartile range (IQR)64

Descriptive statistics

Standard deviation62.326705
Coefficient of variation (CV)0.8920807
Kurtosis4.8594694
Mean69.866667
Median Absolute Deviation (MAD)23
Skewness1.9651861
Sum3144
Variance3884.6182
MonotonicityNot monotonic
2023-12-12T22:20:13.773978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 2
 
4.4%
48 2
 
4.4%
26 2
 
4.4%
126 2
 
4.4%
20 2
 
4.4%
27 2
 
4.4%
29 1
 
2.2%
95 1
 
2.2%
28 1
 
2.2%
64 1
 
2.2%
Other values (29) 29
64.4%
ValueCountFrequency (%)
5 1
2.2%
10 2
4.4%
20 2
4.4%
22 1
2.2%
23 1
2.2%
25 1
2.2%
26 2
4.4%
27 2
4.4%
28 1
2.2%
29 1
2.2%
ValueCountFrequency (%)
319 1
2.2%
198 1
2.2%
195 1
2.2%
171 1
2.2%
162 1
2.2%
126 2
4.4%
122 1
2.2%
115 1
2.2%
109 1
2.2%
95 1
2.2%

주야간보호여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size177.0 B
False
42 
True
 
3
ValueCountFrequency (%)
False 42
93.3%
True 3
 
6.7%
2023-12-12T22:20:13.894493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장유무
Boolean

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size177.0 B
True
39 
False
6 
ValueCountFrequency (%)
True 39
86.7%
False 6
 
13.3%
2023-12-12T22:20:14.002033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T22:20:09.274481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:20:09.129189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:20:09.347354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:20:09.197831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:20:14.090822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명주소전화번호홈페이지개원일요양보호사수주야간보호여부주차장유무
연번1.0001.0000.8161.0001.0000.9250.4350.0000.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소0.8161.0001.0001.0001.0001.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.000
개원일0.9251.0001.0001.0001.0001.0001.0001.0000.000
요양보호사수0.4351.0000.0001.0001.0001.0001.0000.6140.000
주야간보호여부0.0001.0001.0001.0001.0001.0000.6141.0000.000
주차장유무0.0001.0001.0001.0001.0000.0000.0000.0001.000
2023-12-12T22:20:14.214908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장유무주야간보호여부
주차장유무1.0000.000
주야간보호여부0.0001.000
2023-12-12T22:20:14.321014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번요양보호사수주야간보호여부주차장유무
연번1.0000.1150.0000.000
요양보호사수0.1151.0000.4280.000
주야간보호여부0.0000.4281.0000.000
주차장유무0.0000.0000.0001.000

Missing values

2023-12-12T22:20:09.452993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:20:09.578997image/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.
2023-12-12T22:20:09.670988image/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

연번구분기관명주소전화번호홈페이지개원일요양보호사수주야간보호여부주차장유무
01방문요양-방문목욕늘푸른요양보호사 파견센타경상남도 양산시 물금읍 화합1길 32055-364-5591http://cafe.naver.com/evergreen1202009-12-15319NY
12방문요양-방문목욕우원재가노인복지센터경상남도 양산시 양주3길 43-13055-366-5422http://blog.naver.com/kjrlotte72014-01-0635NY
23방문요양-방문목욕참조은재가복지센터경상남도 양산시 물금읍 황산로 647055-385-4511<NA>2022-07-2248NN
34방문요양-방문목욕신도시재가복지센터경상남도 양산시 양산역로 103055-364-3900<NA>2013-03-2725NY
45방문요양-방문목욕나눔과 돌봄 사회적협동조합경상남도 양산시 중앙로 36055-383-3147http://nanum3147.com/2015-03-16162YY
56방문요양-방문목욕선한이웃데이케어센터경상남도 양산시 대운로 179055-364-2731http://sunhan5233.modoo.at2016-02-0357NY
67방문요양-방문목욕성심장기요양통합센터경상남도 양산시 양산대로 794055-363-5969<NA><NA>48NY
78방문요양-방문목욕(주)성모복지센터경상남도 양산시 물금읍 물금2길 50055-365-4005<NA>2022-02-0344NY
89방문요양-방문목욕가족사랑재가복지센터경상남도 양산시 물금읍 범구로 28055-366-8133<NA>2019-12-0239NY
910방문요양-방문목욕원동청춘재가복지센터경상남도 양산시 원동면 원동마을길 18055-364-1015<NA>2021-09-1722NY
연번구분기관명주소전화번호홈페이지개원일요양보호사수주야간보호여부주차장유무
3536방문요양-방문목욕미소재가복지센터경상남도 양산시 덕계2길 5-21055-387-2711<NA>2015-10-2110NY
3637방문요양-방문목욕The좋은인연복지센터경상남도 양산시 양주5길 17055-367-8898<NA>2019-12-1227NY
3738방문요양-방문목욕이룸재가통합요양센터경상남도 양산시 북정로 104055-366-6294http://blog.naver.com/pigdream642021-06-2934NY
3839방문요양-방문목욕대동재가노인복지센터경상남도 양산시 북정중앙로 64055-382-5728http://blog.naver.com/khss16512016-05-03126NY
3940방문요양-방문목욕일심재가노인복지센터경상남도 양산시 동면 석산1길 17-1055-381-3037http://i-web.kr/bjc2001/2017-10-12126NY
4041방문요양-방문목욕소주재가노인복지센터경상남도 양산시 소주회야로 55055-366-5919https://sites.google.com/view/soju20172017-12-14115NY
4142방문요양-방문목욕하랑재가노인복지센타경상남도 양산시 물금읍 백호로 156055-367-7328<NA>2018-02-27109NY
4243방문요양-방문목욕가람재가복지센터경상남도 양산시 물금읍 동중1길 9055-384-0228<NA>2018-08-27198NY
4344방문요양-방문목욕건강한재가노인복지센터경상남도 양산시 삼일로 65055-383-5003http://www.양산방문요양.kr2018-12-1752NY
4445방문요양-방문목욕따스한재가노인복지센터경상남도 양산시 동면 웅상대로 305-1055-381-5501<NA>2018-12-1968NY