Overview

Dataset statistics

Number of variables13
Number of observations78
Missing cells22
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory105.7 B

Variable types

Unsupported6
Categorical3
Text4

Dataset

Description장애인복지시설거주시설안내20146
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201955

Alerts

전라북도 장애인복지시설(거주시설)현황 is highly overall correlated with Unnamed: 11 and 1 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with 전라북도 장애인복지시설(거주시설)현황High correlation
Unnamed: 12 is highly overall correlated with 전라북도 장애인복지시설(거주시설)현황High correlation
Unnamed: 0 has 2 (2.6%) missing valuesMissing
Unnamed: 2 has 2 (2.6%) missing valuesMissing
Unnamed: 3 has 3 (3.8%) missing valuesMissing
Unnamed: 4 has 3 (3.8%) missing valuesMissing
Unnamed: 5 has 3 (3.8%) missing valuesMissing
Unnamed: 6 has 3 (3.8%) missing valuesMissing
Unnamed: 7 has 1 (1.3%) missing valuesMissing
Unnamed: 8 has 2 (2.6%) missing valuesMissing
Unnamed: 9 has 1 (1.3%) missing valuesMissing
Unnamed: 10 has 2 (2.6%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:33:23.136808
Analysis finished2024-03-14 00:33:24.227227
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)2.6%
Memory size756.0 B

전라북도 장애인복지시설(거주시설)현황
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
장애인거주시설
51 
장애인 공동생활가정
17 
장애인공동생활가정
 
4
<NA>
 
2
장애인 단기거주시설
 
2
Other values (2)
 
2

Length

Max length10
Median length7
Mean length7.6794872
Min length4

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row시설구분
3rd row<NA>
4th row전라북도
5th row장애인거주시설

Common Values

ValueCountFrequency (%)
장애인거주시설 51
65.4%
장애인 공동생활가정 17
 
21.8%
장애인공동생활가정 4
 
5.1%
<NA> 2
 
2.6%
장애인 단기거주시설 2
 
2.6%
시설구분 1
 
1.3%
전라북도 1
 
1.3%

Length

2024-03-14T09:33:24.286381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:33:24.382505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인거주시설 51
52.6%
장애인 19
 
19.6%
공동생활가정 17
 
17.5%
장애인공동생활가정 4
 
4.1%
na 2
 
2.1%
단기거주시설 2
 
2.1%
시설구분 1
 
1.0%
전라북도 1
 
1.0%

Unnamed: 2
Text

MISSING 

Distinct76
Distinct (%)100.0%
Missing2
Missing (%)2.6%
Memory size756.0 B
2024-03-14T09:33:24.595940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length5.7236842
Min length2

Characters and Unicode

Total characters435
Distinct characters141
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

Unique76 ?
Unique (%)100.0%

Sample

1st row시 설 일 반 현 황
2nd row시설명
3rd row전주자림원
4th row자림인애원
5th row동암재활원
ValueCountFrequency (%)
집 4
 
4.4%
자림공동생활가정 2
 
2.2%
행복의 1
 
1.1%
둥지지공동생활가정 1
 
1.1%
부설공동생활가정 1
 
1.1%
남원장애인복지관 1
 
1.1%
편한세상 1
 
1.1%
평화의집 1
 
1.1%
동그라미희망의집 1
 
1.1%
성모의집 1
 
1.1%
Other values (77) 77
84.6%
2024-03-14T09:33:24.959424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 28
 
6.4%
의 24
 
5.5%
원 16
 
3.7%
동 15
 
3.4%
14
 
3.2%
활 10
 
2.3%
공 10
 
2.3%
은 9
 
2.1%
가 9
 
2.1%
자 9
 
2.1%
Other values (131) 291
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
95.2%
Space Separator 14
 
3.2%
Decimal Number 5
 
1.1%
Control 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 28
 
6.8%
의 24
 
5.8%
원 16
 
3.9%
동 15
 
3.6%
활 10
 
2.4%
공 10
 
2.4%
은 9
 
2.2%
가 9
 
2.2%
자 9
 
2.2%
정 9
 
2.2%
Other values (126) 275
66.4%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
95.2%
Common 21
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 28
 
6.8%
의 24
 
5.8%
원 16
 
3.9%
동 15
 
3.6%
활 10
 
2.4%
공 10
 
2.4%
은 9
 
2.2%
가 9
 
2.2%
자 9
 
2.2%
정 9
 
2.2%
Other values (126) 275
66.4%
Common
ValueCountFrequency (%)
14
66.7%
2 2
 
9.5%
2
 
9.5%
1 2
 
9.5%
3 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
95.2%
ASCII 21
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 28
 
6.8%
의 24
 
5.8%
원 16
 
3.9%
동 15
 
3.6%
활 10
 
2.4%
공 10
 
2.4%
은 9
 
2.2%
가 9
 
2.2%
자 9
 
2.2%
정 9
 
2.2%
Other values (126) 275
66.4%
ASCII
ValueCountFrequency (%)
14
66.7%
2 2
 
9.5%
2
 
9.5%
1 2
 
9.5%
3 1
 
4.8%

Unnamed: 3
Text

MISSING 

Distinct69
Distinct (%)92.0%
Missing3
Missing (%)3.8%
Memory size756.0 B
2024-03-14T09:33:25.178369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0266667
Min length5

Characters and Unicode

Total characters602
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)86.7%

Sample

1st row설치신고일
2nd row80.12.20
3rd row87.07.01
4th row90.09.03
5th row06.04.28
ValueCountFrequency (%)
02.03.27 3
 
4.0%
07.03.09 3
 
4.0%
08.07.31 2
 
2.7%
06.12.26 2
 
2.7%
04.03.18 1
 
1.3%
01.09.28 1
 
1.3%
03.10.14 1
 
1.3%
06,04,12 1
 
1.3%
08.07.30 1
 
1.3%
90.10.05 1
 
1.3%
Other values (59) 59
78.7%
2024-03-14T09:33:25.554879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 161
26.7%
. 147
24.4%
1 80
13.3%
2 53
 
8.8%
7 32
 
5.3%
3 27
 
4.5%
6 25
 
4.2%
9 19
 
3.2%
8 18
 
3.0%
4 18
 
3.0%
Other values (7) 22
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 448
74.4%
Other Punctuation 149
 
24.8%
Other Letter 5
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 161
35.9%
1 80
17.9%
2 53
 
11.8%
7 32
 
7.1%
3 27
 
6.0%
6 25
 
5.6%
9 19
 
4.2%
8 18
 
4.0%
4 18
 
4.0%
5 15
 
3.3%
Other Letter
ValueCountFrequency (%)
설 1
20.0%
치 1
20.0%
신 1
20.0%
고 1
20.0%
일 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 147
98.7%
, 2
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 597
99.2%
Hangul 5
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 161
27.0%
. 147
24.6%
1 80
13.4%
2 53
 
8.9%
7 32
 
5.4%
3 27
 
4.5%
6 25
 
4.2%
9 19
 
3.2%
8 18
 
3.0%
4 18
 
3.0%
Other values (2) 17
 
2.8%
Hangul
ValueCountFrequency (%)
설 1
20.0%
치 1
20.0%
신 1
20.0%
고 1
20.0%
일 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597
99.2%
Hangul 5
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 161
27.0%
. 147
24.6%
1 80
13.4%
2 53
 
8.9%
7 32
 
5.4%
3 27
 
4.5%
6 25
 
4.2%
9 19
 
3.2%
8 18
 
3.0%
4 18
 
3.0%
Other values (2) 17
 
2.8%
Hangul
ValueCountFrequency (%)
설 1
20.0%
치 1
20.0%
신 1
20.0%
고 1
20.0%
일 1
20.0%

Unnamed: 4
Text

MISSING 

Distinct65
Distinct (%)86.7%
Missing3
Missing (%)3.8%
Memory size756.0 B
2024-03-14T09:33:25.817525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.12
Min length3

Characters and Unicode

Total characters234
Distinct characters85
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)78.7%

Sample

1st row시설장
2nd row박미숙
3rd row홍규식
4th row진용철
5th row박청자
ValueCountFrequency (%)
박미숙 4
 
5.1%
이건중 3
 
3.8%
진숙선 3
 
3.8%
권영조 2
 
2.5%
서철승 2
 
2.5%
이순자 2
 
2.5%
김성필 1
 
1.3%
박종형 1
 
1.3%
이용문 1
 
1.3%
하정섭 1
 
1.3%
Other values (59) 59
74.7%
2024-03-14T09:33:26.136651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
숙 14
 
6.0%
박 12
 
5.1%
12
 
5.1%
김 11
 
4.7%
이 10
 
4.3%
순 7
 
3.0%
정 6
 
2.6%
진 5
 
2.1%
미 5
 
2.1%
임 5
 
2.1%
Other values (75) 147
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
94.9%
Space Separator 12
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숙 14
 
6.3%
박 12
 
5.4%
김 11
 
5.0%
이 10
 
4.5%
순 7
 
3.2%
정 6
 
2.7%
진 5
 
2.3%
미 5
 
2.3%
임 5
 
2.3%
자 5
 
2.3%
Other values (74) 142
64.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
94.9%
Common 12
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숙 14
 
6.3%
박 12
 
5.4%
김 11
 
5.0%
이 10
 
4.5%
순 7
 
3.2%
정 6
 
2.7%
진 5
 
2.3%
미 5
 
2.3%
임 5
 
2.3%
자 5
 
2.3%
Other values (74) 142
64.0%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
94.9%
ASCII 12
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
숙 14
 
6.3%
박 12
 
5.4%
김 11
 
5.0%
이 10
 
4.5%
순 7
 
3.2%
정 6
 
2.7%
진 5
 
2.3%
미 5
 
2.3%
임 5
 
2.3%
자 5
 
2.3%
Other values (74) 142
64.0%
ASCII
ValueCountFrequency (%)
12
100.0%

Unnamed: 5
Text

MISSING 

Distinct72
Distinct (%)96.0%
Missing3
Missing (%)3.8%
Memory size756.0 B
2024-03-14T09:33:26.400980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length18.24
Min length3

Characters and Unicode

Total characters1368
Distinct characters155
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

Unique69 ?
Unique (%)92.0%

Sample

1st row주 소
2nd row전주시 덕진구 번영로230-14(성덕동)
3rd row전주시 덕진구 번영로230-14(성덕동)
4th row전주시 완산구 천잠로275(효자동3가)
5th row전주시 완산구 우림로595-32(용복동)
ValueCountFrequency (%)
익산시 15
 
5.2%
전주시 14
 
4.8%
정읍시 9
 
3.1%
완주군 9
 
3.1%
전북 9
 
3.1%
군산시 8
 
2.8%
덕진구 7
 
2.4%
완산구 7
 
2.4%
김제시 4
 
1.4%
남원시 4
 
1.4%
Other values (177) 204
70.3%
2024-03-14T09:33:26.763394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
 
15.9%
1 77
 
5.6%
시 55
 
4.0%
길 43
 
3.1%
산 42
 
3.1%
- 40
 
2.9%
2 38
 
2.8%
5 36
 
2.6%
0 34
 
2.5%
면 34
 
2.5%
Other values (145) 751
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 737
53.9%
Decimal Number 325
23.8%
Space Separator 218
 
15.9%
Dash Punctuation 40
 
2.9%
Close Punctuation 16
 
1.2%
Open Punctuation 16
 
1.2%
Other Punctuation 12
 
0.9%
Lowercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 55
 
7.5%
길 43
 
5.8%
산 42
 
5.7%
면 34
 
4.6%
주 29
 
3.9%
로 29
 
3.9%
군 28
 
3.8%
전 24
 
3.3%
동 23
 
3.1%
구 16
 
2.2%
Other values (127) 414
56.2%
Decimal Number
ValueCountFrequency (%)
1 77
23.7%
2 38
11.7%
5 36
11.1%
0 34
10.5%
4 28
 
8.6%
6 28
 
8.6%
3 26
 
8.0%
7 23
 
7.1%
8 19
 
5.8%
9 16
 
4.9%
Other Punctuation
ValueCountFrequency (%)
@ 6
50.0%
, 4
33.3%
/ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 737
53.9%
Common 627
45.8%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 55
 
7.5%
길 43
 
5.8%
산 42
 
5.7%
면 34
 
4.6%
주 29
 
3.9%
로 29
 
3.9%
군 28
 
3.8%
전 24
 
3.3%
동 23
 
3.1%
구 16
 
2.2%
Other values (127) 414
56.2%
Common
ValueCountFrequency (%)
218
34.8%
1 77
 
12.3%
- 40
 
6.4%
2 38
 
6.1%
5 36
 
5.7%
0 34
 
5.4%
4 28
 
4.5%
6 28
 
4.5%
3 26
 
4.1%
7 23
 
3.7%
Other values (7) 79
 
12.6%
Latin
ValueCountFrequency (%)
a 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 737
53.9%
ASCII 631
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
34.5%
1 77
 
12.2%
- 40
 
6.3%
2 38
 
6.0%
5 36
 
5.7%
0 34
 
5.4%
4 28
 
4.4%
6 28
 
4.4%
3 26
 
4.1%
7 23
 
3.6%
Other values (8) 83
 
13.2%
Hangul
ValueCountFrequency (%)
시 55
 
7.5%
길 43
 
5.8%
산 42
 
5.7%
면 34
 
4.6%
주 29
 
3.9%
로 29
 
3.9%
군 28
 
3.8%
전 24
 
3.3%
동 23
 
3.1%
구 16
 
2.2%
Other values (127) 414
56.2%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)3.8%
Memory size756.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)1.3%
Memory size756.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)2.6%
Memory size756.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)1.3%
Memory size756.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)2.6%
Memory size756.0 B

Unnamed: 11
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size756.0 B
개인
22 
사복)중도원
6 
사복)자림복지재단
5 
사복)창혜복지재단
 
3
사복)해오름복지재단
 
3
Other values (30)
39 

Length

Max length17
Median length15
Mean length7.1666667
Min length2

Unique

Unique22 ?
Unique (%)28.2%

Sample

1st row2014.6월말 현재
2nd row운영주체(법인명)
3rd row<NA>
4th row<NA>
5th row사복)자림복지재단

Common Values

ValueCountFrequency (%)
개인 22
28.2%
사복)중도원 6
 
7.7%
사복)자림복지재단 5
 
6.4%
사복)창혜복지재단 3
 
3.8%
사복)해오름복지재단 3
 
3.8%
사복)전주가톨릭사회복지회 3
 
3.8%
사복)전주카톨릭사회복지회 2
 
2.6%
<NA> 2
 
2.6%
사복)자애복지재단 2
 
2.6%
사복)어깨동무복지재단 2
 
2.6%
Other values (25) 28
35.9%

Length

2024-03-14T09:33:26.876379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개인 22
26.8%
사복)중도원 6
 
7.3%
사복)자림복지재단 5
 
6.1%
사복)창혜복지재단 3
 
3.7%
사복)해오름복지재단 3
 
3.7%
사복)전주가톨릭사회복지회 3
 
3.7%
사복)어깨동무복지재단 2
 
2.4%
사복)국제원 2
 
2.4%
사복)한기장복지재단 2
 
2.4%
사복)전북보성원 2
 
2.4%
Other values (29) 32
39.0%

Unnamed: 12
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
지적
27 
<NA>
24 
중증
9 
지적
5 
지체
5 
Other values (7)
8 

Length

Max length20
Median length2
Mean length3.0384615
Min length2

Unique

Unique6 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row비고
3rd row<NA>
4th row<NA>
5th row지적

Common Values

ValueCountFrequency (%)
지적 27
34.6%
<NA> 24
30.8%
중증 9
 
11.5%
지적 5
 
6.4%
지체 5
 
6.4%
중증실비 2
 
2.6%
비고 1
 
1.3%
지적(여) 1
 
1.3%
휴지 중 14.6.18~15.5.31 1
 
1.3%
시각 1
 
1.3%
Other values (2) 2
 
2.6%

Length

2024-03-14T09:33:27.001421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지적 32
39.5%
na 24
29.6%
중증 9
 
11.1%
지체 5
 
6.2%
중증실비 2
 
2.5%
휴지 2
 
2.5%
중 2
 
2.5%
비고 1
 
1.2%
지적(여 1
 
1.2%
14.6.18~15.5.31 1
 
1.2%
Other values (2) 2
 
2.5%

Correlations

2024-03-14T09:33:27.068506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전라북도 장애인복지시설(거주시설)현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 11Unnamed: 12
전라북도 장애인복지시설(거주시설)현황1.0001.0000.0000.9691.0000.9210.913
Unnamed: 21.0001.0001.0001.0001.0001.0001.000
Unnamed: 30.0001.0001.0000.9770.9940.9870.000
Unnamed: 40.9691.0000.9771.0000.9851.0000.000
Unnamed: 51.0001.0000.9940.9851.0001.0000.884
Unnamed: 110.9211.0000.9871.0001.0001.0000.715
Unnamed: 120.9131.0000.0000.0000.8840.7151.000
2024-03-14T09:33:27.156980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 12전라북도 장애인복지시설(거주시설)현황Unnamed: 11
Unnamed: 121.0000.7920.265
전라북도 장애인복지시설(거주시설)현황0.7921.0000.568
Unnamed: 110.2650.5681.000
2024-03-14T09:33:27.513789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전라북도 장애인복지시설(거주시설)현황Unnamed: 11Unnamed: 12
전라북도 장애인복지시설(거주시설)현황1.0000.5680.792
Unnamed: 110.5681.0000.265
Unnamed: 120.7920.2651.000

Missing values

2024-03-14T09:33:23.818440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:33:23.955328image/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.
2024-03-14T09:33:24.099794image/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

Unnamed: 0전라북도 장애인복지시설(거주시설)현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
0NaN<NA><NA><NA><NA><NA>NaNNaNNaNNaNNaN2014.6월말 현재<NA>
1연번시설구분시 설 일 반 현 황<NA><NA><NA>NaN종사자NaN생활인NaN운영주체(법인명)비고
2NaN<NA>시설명설치신고일시설장주 소전화번호정원현원정원현원<NA><NA>
3총계전라북도<NA><NA><NA><NA>NaN100194622391950<NA><NA>
41장애인거주시설전주자림원80.12.20박미숙전주시 덕진구 번영로230-14(성덕동)223-1568302910072사복)자림복지재단지적
52장애인거주시설자림인애원87.07.01홍규식전주시 덕진구 번영로230-14(성덕동)276-156840407270사복)자림복지재단중증
63장애인거주시설동암재활원90.09.03진용철전주시 완산구 천잠로275(효자동3가)222-444417177051사복)동암지체
74장애인거주시설소화진달네집06.04.28박청자전주시 완산구 우림로595-32(용복동)222-278615154035사복)소화자매원지적(여)
85장애인거주시설평안의집10.12.30서영숙전주시 완산구 선너머2길-15(중화산동2가)282-7728882020개인지적
96장애인 단기거주시설한마음단기보호센터02.03.27김학권전주시 완산구 계룡산길 44-8223-4935441010사)전북장애인부모회<NA>
Unnamed: 0전라북도 장애인복지시설(거주시설)현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
6865장애인거주시설흰마실08.04.22박주종진안군 백운면 윤기길 4-35433-220016163030사복)낮은자리지적
6966장애인거주시설하은의 집07.12.24이근덕무주군 부남면 상평당길 41322-644818183533사복)하은복지재단지적
7067장애인거주시설벧엘장애인의집06.10.02서 정장수군 장계면 명덕양지길 106-1353-125165158개인지적
7168장애인거주시설만나의집06.05.08김태곤장수군 번암면 성암길 458-16352-36880000개인휴지 중
7269장애인거주시설로뎀하우스2006.01.24노 준임실군 신평면 석등슬치로 491-7643-188818183028사복)크리스찬복지재단지적
7370장애인공동생활가정소망장애인공동체2010.11.12추성은임실군 임실읍 호국로 1456-57643-70041142개인<NA>
7471장애인거주시설함께사는마을08.07.09임점수순창군 쌍치면 용전길 116-142653-049520204040사복)어깨동무복지재단지적
7572장애인거주시설주향의집10.12.16이희자순창군 동계면 강동로653-818366146사복)원산원지적
7673장애인거주시설로뎀나무10.03.15전정섭순창군 금과면 방계로 33-2652-2393862924개인지적
7774장애인거주시설아름다운마을04.12.04이금숙고창군 상하면 풍촌길 8063-563-733527265050사복)아름다운마을지적