Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells65
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory91.3 B

Variable types

Categorical5
Text3
DateTime1
Numeric2

Dataset

Description경기도 파주시에 소재한 재가노인복지시설에 대한 데이터로서 시설종류, 급여종류, 기관명, 설치일자, 시설주소, 전화번호, 정원 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15101729/fileData.do

Alerts

시설종류 has constant value ""Constant
영업상태 has constant value ""Constant
장기요양기관 지정여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
기관전화번호 has 4 (4.0%) missing valuesMissing
재가급여정원 has 61 (61.0%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:44:10.645697
Analysis finished2023-12-12 13:44:12.122228
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
재가노인복지시설
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 100
100.0%

Length

2023-12-12T22:44:12.222994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:12.357733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 100
100.0%

급여종류
Categorical

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
방문요양+방문목욕
29 
주야간보호
25 
방문요양
22 
복지용구제공사업소
방문요양+방문목욕+주야간보호
Other values (8)
12 

Length

Max length42
Median length37
Mean length8.31
Min length4

Unique

Unique6 ?
Unique (%)6.0%

Sample

1st row방문요양+방문목욕+주야간보호+단기보호+주야간보호 내 치매전담 1실
2nd row방문요양+방문목욕+주야간보호
3rd row주야간보호
4th row방문요양+주야간보호+주야간보호 내 치매전담 1실+주야간보호 내 치매전담 2실
5th row주야간보호

Common Values

ValueCountFrequency (%)
방문요양+방문목욕 29
29.0%
주야간보호 25
25.0%
방문요양 22
22.0%
복지용구제공사업소 8
 
8.0%
방문요양+방문목욕+주야간보호 4
 
4.0%
방문요양+주야간보호 4
 
4.0%
주야간보호+주야간보호 내 치매전담 1실 2
 
2.0%
방문요양+방문목욕+주야간보호+단기보호+주야간보호 내 치매전담 1실 1
 
1.0%
방문요양+주야간보호+주야간보호 내 치매전담 1실+주야간보호 내 치매전담 2실 1
 
1.0%
주야간보호+주야간보호 내 치매전담 1실+주야간보호 내 치매전담 2실 1
 
1.0%
Other values (3) 3
 
3.0%

Length

2023-12-12T22:44:12.500361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양+방문목욕 29
24.0%
주야간보호 25
20.7%
방문요양 22
18.2%
복지용구제공사업소 8
 
6.6%
7
 
5.8%
치매전담 7
 
5.8%
방문요양+주야간보호 4
 
3.3%
방문요양+방문목욕+주야간보호 4
 
3.3%
주야간보호+주야간보호 3
 
2.5%
1실 3
 
2.5%
Other values (7) 9
 
7.4%

기관명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T22:44:12.755594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.11
Min length4

Characters and Unicode

Total characters1011
Distinct characters181
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

Unique100 ?
Unique (%)100.0%

Sample

1st row파주해가빛시니어센터
2nd row새봄노인주간보호센터
3rd row금빛사랑채 어르신주야간보호센터
4th row한컴말랑말랑행복케어주야간보호센터
5th row(주)서포터예성(예성노블주간보호센터1)
ValueCountFrequency (%)
방문요양센터 4
 
3.1%
재가복지센터 3
 
2.4%
건강한 3
 
2.4%
복지용구 2
 
1.6%
주야간보호센터 2
 
1.6%
재가센터 2
 
1.6%
노인복지센터 2
 
1.6%
파주점 1
 
0.8%
돌보인 1
 
0.8%
solution 1
 
0.8%
Other values (106) 106
83.5%
2023-12-12T22:44:13.197008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
8.7%
88
 
8.7%
44
 
4.4%
40
 
4.0%
38
 
3.8%
38
 
3.8%
35
 
3.5%
33
 
3.3%
32
 
3.2%
31
 
3.1%
Other values (171) 544
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 945
93.5%
Space Separator 27
 
2.7%
Lowercase Letter 11
 
1.1%
Decimal Number 9
 
0.9%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
Uppercase Letter 4
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
88
 
9.3%
88
 
9.3%
44
 
4.7%
40
 
4.2%
38
 
4.0%
38
 
4.0%
35
 
3.7%
33
 
3.5%
32
 
3.4%
31
 
3.3%
Other values (147) 478
50.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
o 2
18.2%
n 1
9.1%
i 1
9.1%
t 1
9.1%
u 1
9.1%
l 1
9.1%
a 1
9.1%
r 1
9.1%
Decimal Number
ValueCountFrequency (%)
5 2
22.2%
6 2
22.2%
0 1
11.1%
7 1
11.1%
3 1
11.1%
1 1
11.1%
2 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
C 1
25.0%
O 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 945
93.5%
Common 51
 
5.0%
Latin 15
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
88
 
9.3%
88
 
9.3%
44
 
4.7%
40
 
4.2%
38
 
4.0%
38
 
4.0%
35
 
3.7%
33
 
3.5%
32
 
3.4%
31
 
3.3%
Other values (147) 478
50.6%
Latin
ValueCountFrequency (%)
e 2
13.3%
o 2
13.3%
n 1
 
6.7%
i 1
 
6.7%
t 1
 
6.7%
u 1
 
6.7%
l 1
 
6.7%
S 1
 
6.7%
a 1
 
6.7%
r 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
27
52.9%
( 7
 
13.7%
) 7
 
13.7%
5 2
 
3.9%
6 2
 
3.9%
0 1
 
2.0%
7 1
 
2.0%
3 1
 
2.0%
1 1
 
2.0%
2 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 945
93.5%
ASCII 66
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
88
 
9.3%
88
 
9.3%
44
 
4.7%
40
 
4.2%
38
 
4.0%
38
 
4.0%
35
 
3.7%
33
 
3.5%
32
 
3.4%
31
 
3.3%
Other values (147) 478
50.6%
ASCII
ValueCountFrequency (%)
27
40.9%
( 7
 
10.6%
) 7
 
10.6%
e 2
 
3.0%
o 2
 
3.0%
5 2
 
3.0%
6 2
 
3.0%
n 1
 
1.5%
i 1
 
1.5%
t 1
 
1.5%
Other values (14) 14
21.2%
Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2008-06-05 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T22:44:13.342311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:13.792662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

우편번호
Real number (ℝ)

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10887.96
Minimum10801
Maximum10955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T22:44:13.920396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10801
5-th percentile10820.75
Q110856
median10895
Q310926.25
95-th percentile10943.25
Maximum10955
Range154
Interquartile range (IQR)70.25

Descriptive statistics

Standard deviation42.725792
Coefficient of variation (CV)0.003924132
Kurtosis-1.1074924
Mean10887.96
Median Absolute Deviation (MAD)34
Skewness-0.32333376
Sum1088796
Variance1825.4933
MonotonicityNot monotonic
2023-12-12T22:44:14.078375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10823 6
 
6.0%
10874 6
 
6.0%
10895 5
 
5.0%
10926 4
 
4.0%
10861 3
 
3.0%
10937 3
 
3.0%
10880 3
 
3.0%
10930 3
 
3.0%
10909 3
 
3.0%
10932 3
 
3.0%
Other values (46) 61
61.0%
ValueCountFrequency (%)
10801 1
 
1.0%
10809 1
 
1.0%
10813 1
 
1.0%
10816 2
 
2.0%
10821 1
 
1.0%
10823 6
6.0%
10824 2
 
2.0%
10826 1
 
1.0%
10828 1
 
1.0%
10833 2
 
2.0%
ValueCountFrequency (%)
10955 1
 
1.0%
10953 1
 
1.0%
10952 1
 
1.0%
10949 1
 
1.0%
10948 1
 
1.0%
10943 1
 
1.0%
10942 2
2.0%
10939 1
 
1.0%
10938 1
 
1.0%
10937 3
3.0%
Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T22:44:14.342828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37.5
Mean length30
Min length18

Characters and Unicode

Total characters3000
Distinct characters187
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row경기도 파주시 어을매로 76 (교하동)
2nd row경기도 파주시 청석로 268, 5층 501~5호 (동패동, 미소시티)
3rd row경기도 파주시 시청로 246 (금촌동)
4th row경기도 파주시 탄현면 헤이리로133번길 21
5th row경기도 파주시 문산읍 문산역로 107, 401호
ValueCountFrequency (%)
경기도 100
 
15.5%
파주시 100
 
15.5%
2층 16
 
2.5%
1층 13
 
2.0%
문산읍 13
 
2.0%
금촌동 12
 
1.9%
조리읍 11
 
1.7%
동패동 9
 
1.4%
와동동 9
 
1.4%
청석로 7
 
1.1%
Other values (253) 354
55.0%
2023-12-12T22:44:14.784134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
544
 
18.1%
113
 
3.8%
2 111
 
3.7%
1 111
 
3.7%
108
 
3.6%
108
 
3.6%
104
 
3.5%
102
 
3.4%
101
 
3.4%
101
 
3.4%
Other values (177) 1497
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1603
53.4%
Decimal Number 584
 
19.5%
Space Separator 544
 
18.1%
Other Punctuation 98
 
3.3%
Close Punctuation 67
 
2.2%
Open Punctuation 67
 
2.2%
Dash Punctuation 26
 
0.9%
Math Symbol 10
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
113
 
7.0%
108
 
6.7%
108
 
6.7%
104
 
6.5%
102
 
6.4%
101
 
6.3%
101
 
6.3%
76
 
4.7%
49
 
3.1%
42
 
2.6%
Other values (160) 699
43.6%
Decimal Number
ValueCountFrequency (%)
2 111
19.0%
1 111
19.0%
0 90
15.4%
3 66
11.3%
6 44
 
7.5%
5 41
 
7.0%
4 38
 
6.5%
7 38
 
6.5%
9 25
 
4.3%
8 20
 
3.4%
Space Separator
ValueCountFrequency (%)
544
100.0%
Other Punctuation
ValueCountFrequency (%)
, 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1603
53.4%
Common 1396
46.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
113
 
7.0%
108
 
6.7%
108
 
6.7%
104
 
6.5%
102
 
6.4%
101
 
6.3%
101
 
6.3%
76
 
4.7%
49
 
3.1%
42
 
2.6%
Other values (160) 699
43.6%
Common
ValueCountFrequency (%)
544
39.0%
2 111
 
8.0%
1 111
 
8.0%
, 98
 
7.0%
0 90
 
6.4%
) 67
 
4.8%
( 67
 
4.8%
3 66
 
4.7%
6 44
 
3.2%
5 41
 
2.9%
Other values (6) 157
 
11.2%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1603
53.4%
ASCII 1397
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
544
38.9%
2 111
 
7.9%
1 111
 
7.9%
, 98
 
7.0%
0 90
 
6.4%
) 67
 
4.8%
( 67
 
4.8%
3 66
 
4.7%
6 44
 
3.1%
5 41
 
2.9%
Other values (7) 158
 
11.3%
Hangul
ValueCountFrequency (%)
113
 
7.0%
108
 
6.7%
108
 
6.7%
104
 
6.5%
102
 
6.4%
101
 
6.3%
101
 
6.3%
76
 
4.7%
49
 
3.1%
42
 
2.6%
Other values (160) 699
43.6%

기관전화번호
Text

MISSING 

Distinct92
Distinct (%)95.8%
Missing4
Missing (%)4.0%
Memory size932.0 B
2023-12-12T22:44:15.051517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters1160
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

Unique89 ?
Unique (%)92.7%

Sample

1st row031-943-5382
2nd row031-949-6788
3rd row031-942-0741
4th row031-946-7720
5th row031-953-0188
ValueCountFrequency (%)
031-952-8539 3
 
3.1%
031-937-8900 2
 
2.1%
031-947-6005 2
 
2.1%
031-952-9952 1
 
1.0%
031-949-3670 1
 
1.0%
031-946-7808 1
 
1.0%
070-4792-0720 1
 
1.0%
031-957-4730 1
 
1.0%
031-952-1599 1
 
1.0%
031-942-4241 1
 
1.0%
Other values (82) 82
85.4%
2023-12-12T22:44:15.472360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 192
16.6%
0 172
14.8%
3 143
12.3%
1 140
12.1%
9 138
11.9%
4 94
8.1%
5 71
 
6.1%
8 67
 
5.8%
7 66
 
5.7%
2 44
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 968
83.4%
Dash Punctuation 192
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
17.8%
3 143
14.8%
1 140
14.5%
9 138
14.3%
4 94
9.7%
5 71
7.3%
8 67
 
6.9%
7 66
 
6.8%
2 44
 
4.5%
6 33
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 192
16.6%
0 172
14.8%
3 143
12.3%
1 140
12.1%
9 138
11.9%
4 94
8.1%
5 71
 
6.1%
8 67
 
5.8%
7 66
 
5.7%
2 44
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 192
16.6%
0 172
14.8%
3 143
12.3%
1 140
12.1%
9 138
11.9%
4 94
8.1%
5 71
 
6.1%
8 67
 
5.8%
7 66
 
5.7%
2 44
 
3.8%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
운영
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 100
100.0%

Length

2023-12-12T22:44:15.630829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:15.743937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 100
100.0%

재가급여정원
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)71.8%
Missing61
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean41.051282
Minimum7
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T22:44:15.883838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile9
Q122.5
median39
Q349
95-th percentile90.2
Maximum119
Range112
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation25.173031
Coefficient of variation (CV)0.61320939
Kurtosis1.5326931
Mean41.051282
Median Absolute Deviation (MAD)15
Skewness1.1735844
Sum1601
Variance633.68151
MonotonicityNot monotonic
2023-12-12T22:44:16.041752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
47 3
 
3.0%
9 2
 
2.0%
16 2
 
2.0%
20 2
 
2.0%
24 2
 
2.0%
30 2
 
2.0%
45 2
 
2.0%
39 2
 
2.0%
50 2
 
2.0%
90 2
 
2.0%
Other values (18) 18
 
18.0%
(Missing) 61
61.0%
ValueCountFrequency (%)
7 1
1.0%
9 2
2.0%
13 1
1.0%
16 2
2.0%
17 1
1.0%
20 2
2.0%
21 1
1.0%
24 2
2.0%
28 1
1.0%
30 2
2.0%
ValueCountFrequency (%)
119 1
 
1.0%
92 1
 
1.0%
90 2
2.0%
70 1
 
1.0%
65 1
 
1.0%
60 1
 
1.0%
55 1
 
1.0%
50 2
2.0%
48 1
 
1.0%
47 3
3.0%

장기요양기관 지정여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
지정
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 100
100.0%

Length

2023-12-12T22:44:16.182737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:16.274900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 100
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-08-09
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-09
2nd row2023-08-09
3rd row2023-08-09
4th row2023-08-09
5th row2023-08-09

Common Values

ValueCountFrequency (%)
2023-08-09 100
100.0%

Length

2023-12-12T22:44:16.379482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:16.477581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-09 100
100.0%

Interactions

2023-12-12T22:44:11.505679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:11.290586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:11.609240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:11.415774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:44:16.544631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류기관명설치일자우편번호시설주소기관전화번호재가급여정원
급여종류1.0001.0000.5730.3800.0000.9050.787
기관명1.0001.0001.0001.0001.0001.0001.000
설치일자0.5731.0001.0000.6170.9940.9930.872
우편번호0.3801.0000.6171.0001.0001.0000.635
시설주소0.0001.0000.9941.0001.0001.0001.000
기관전화번호0.9051.0000.9931.0001.0001.0001.000
재가급여정원0.7871.0000.8720.6351.0001.0001.000
2023-12-12T22:44:16.657724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호재가급여정원급여종류
우편번호1.000-0.1140.169
재가급여정원-0.1141.0000.366
급여종류0.1690.3661.000

Missing values

2023-12-12T22:44:11.740030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:44:11.937349image/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.
2023-12-12T22:44:12.052147image/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

시설종류급여종류기관명설치일자우편번호시설주소기관전화번호영업상태재가급여정원장기요양기관 지정여부데이터기준일자
0재가노인복지시설방문요양+방문목욕+주야간보호+단기보호+주야간보호 내 치매전담 1실파주해가빛시니어센터2022-02-0110866경기도 파주시 어을매로 76 (교하동)031-943-5382운영119지정2023-08-09
1재가노인복지시설방문요양+방문목욕+주야간보호새봄노인주간보호센터2019-08-1310874경기도 파주시 청석로 268, 5층 501~5호 (동패동, 미소시티)031-949-6788운영65지정2023-08-09
2재가노인복지시설주야간보호금빛사랑채 어르신주야간보호센터2018-05-0110850경기도 파주시 시청로 246 (금촌동)031-942-0741운영92지정2023-08-09
3재가노인복지시설방문요양+주야간보호+주야간보호 내 치매전담 1실+주야간보호 내 치매전담 2실한컴말랑말랑행복케어주야간보호센터2020-04-0310858경기도 파주시 탄현면 헤이리로133번길 21031-946-7720운영90지정2023-08-09
4재가노인복지시설주야간보호(주)서포터예성(예성노블주간보호센터1)2021-08-0110824경기도 파주시 문산읍 문산역로 107, 401호031-953-0188운영90지정2023-08-09
5재가노인복지시설주야간보호삼성재활주간보호센터2019-11-1410906경기도 파주시 경의로1004번길 37, 701~705호 (야당동, 롯데프라자)031-944-0858운영70지정2023-08-09
6재가노인복지시설주야간보호큰나무주야간보호센터2021-09-0110816경기도 파주시 문산읍 당동2로 11-4, 1층031-952-0100운영60지정2023-08-09
7재가노인복지시설주야간보호파주데이케어센터2019-02-0110932경기도 파주시 금릉이길 36 (금촌동)031-947-0708운영55지정2023-08-09
8재가노인복지시설주야간보호+주야간보호 내 치매전담 1실+주야간보호 내 치매전담 2실꿀벌어르신센터2021-10-0110895경기도 파주시 미래로 610, 7층 (와동동, 운정메디컬프라자)031-944-3306운영50지정2023-08-09
9재가노인복지시설주야간보호미소재활주간보호센터2022-11-0110932경기도 파주시 독암길 3, 302~305호 (금촌동)031-944-7050운영50지정2023-08-09
시설종류급여종류기관명설치일자우편번호시설주소기관전화번호영업상태재가급여정원장기요양기관 지정여부데이터기준일자
90재가노인복지시설방문요양가족돌봄재가복지센터2022-01-0110876경기도 파주시 청석로 350, 803동 701호 (다율동, 청석마을동문굿모닝힐)031-8035-5522운영<NA>지정2023-08-09
91재가노인복지시설복지용구제공사업소다복케어2022-03-0110942경기도 파주시 조리읍 장진천길 238, 1동031-975-1088운영<NA>지정2023-08-09
92재가노인복지시설복지용구제공사업소운정의료기 복지용구2021-07-0110900경기도 파주시 심학산로423번길 12-1, 103호 (목동동)031-944-3772운영<NA>지정2023-08-09
93재가노인복지시설복지용구제공사업소다미안케어(주)2021-02-0110824경기도 파주시 문산읍 문산역로 107, 304호 (청도훼미리코아)031-953-2276운영<NA>지정2023-08-09
94재가노인복지시설방문요양+방문목욕도연재가방문요양센터2022-10-0110931경기도 파주시 시청로 123-1, 2층 (아동동)031-941-1030운영<NA>지정2023-08-09
95재가노인복지시설방문요양+방문목욕한나노인복지센터2008-06-0510948경기도 파주시 광탄면 혜음로 1123031-953-4766운영<NA>지정2023-08-09
96재가노인복지시설방문요양+방문목욕(주)행복더하기2012-08-0910847경기도 파주시 금물다리길 271, 3층 (맥금동)031-949-3670운영<NA>지정2023-08-09
97재가노인복지시설방문요양+방문목욕케어링 재가노인복지센터2022-10-0110813경기도 파주시 문산읍 사임당로 65-21, 201호 (정원 엘피스타워)<NA>운영<NA>지정2023-08-09
98재가노인복지시설방문요양시니어스 재가센터2022-11-1010823경기도 파주시 문산읍 문산로26번길 13, 101상가동 2층 229호031-952-9952운영<NA>지정2023-08-09
99재가노인복지시설방문요양사랑의종소리 방문요양센터2022-10-0110867경기도 파주시 빙고재길 26 (교하동)031-941-0495운영<NA>지정2023-08-09