Overview

Dataset statistics

Number of variables12
Number of observations434
Missing cells132
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.8 KiB
Average record size in memory96.3 B

Variable types

Unsupported6
Categorical2
Text4

Dataset

Description사회복지생활시설현황전라북도2015
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202406

Alerts

전라북도 사회복지(생활)시설 현황 is highly overall correlated with Unnamed: 11High correlation
Unnamed: 11 is highly overall correlated with 전라북도 사회복지(생활)시설 현황High correlation
Unnamed: 11 is highly imbalanced (77.1%)Imbalance
Unnamed: 3 has 17 (3.9%) missing valuesMissing
Unnamed: 4 has 17 (3.9%) missing valuesMissing
Unnamed: 5 has 17 (3.9%) missing valuesMissing
Unnamed: 6 has 15 (3.5%) missing valuesMissing
Unnamed: 7 has 16 (3.7%) missing valuesMissing
Unnamed: 8 has 15 (3.5%) missing valuesMissing
Unnamed: 9 has 16 (3.7%) missing valuesMissing
Unnamed: 10 has 16 (3.7%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 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

Reproduction

Analysis started2024-03-14 00:54:35.839692
Analysis finished2024-03-14 00:54:36.688784
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.5%
Memory size3.5 KiB

전라북도 사회복지(생활)시설 현황
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
노인요양시설
150 
노인요양공동생활가정
75 
장애인거주시설
51 
아동공동생활가정
34 
장애인 공동생활가정
16 
Other values (44)
108 

Length

Max length12
Median length10
Mean length7.4262673
Min length3

Unique

Unique28 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
노인요양시설 150
34.6%
노인요양공동생활가정 75
17.3%
장애인거주시설 51
 
11.8%
아동공동생활가정 34
 
7.8%
장애인 공동생활가정 16
 
3.7%
아동양육시설 11
 
2.5%
노인양로시설 11
 
2.5%
사회복귀시설(종합시설) 10
 
2.3%
아동 공동생활시설 9
 
2.1%
한부모가족복지시설 7
 
1.6%
Other values (39) 60
 
13.8%

Length

2024-03-14T09:54:36.752703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인요양시설 150
32.1%
노인요양공동생활가정 75
16.1%
장애인거주시설 51
 
10.9%
아동공동생활가정 34
 
7.3%
장애인 18
 
3.9%
공동생활가정 16
 
3.4%
아동양육시설 11
 
2.4%
노인양로시설 11
 
2.4%
사회복귀시설(종합시설 10
 
2.1%
아동 9
 
1.9%
Other values (41) 82
17.6%

Unnamed: 2
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.2%
Memory size3.5 KiB

Unnamed: 3
Text

MISSING 

Distinct378
Distinct (%)90.6%
Missing17
Missing (%)3.9%
Memory size3.5 KiB
2024-03-14T09:54:37.023109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8
Min length5

Characters and Unicode

Total characters3336
Distinct characters18
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

Unique348 ?
Unique (%)83.5%

Sample

1st row설치신고일
2nd row00.12.08
3rd row02.11.21
4th row85.01.11
5th row82.03.04
ValueCountFrequency (%)
06.11.10 5
 
1.2%
06.12.26 4
 
1.0%
10.03.15 3
 
0.7%
08.07.31 3
 
0.7%
08.06.30 3
 
0.7%
07.03.09 3
 
0.7%
06.12.29 3
 
0.7%
11.04.28 2
 
0.5%
05.04.07 2
 
0.5%
10.03.16 2
 
0.5%
Other values (367) 388
92.8%
2024-03-14T09:54:37.414633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 833
25.0%
0 792
23.7%
1 558
16.7%
2 271
 
8.1%
3 151
 
4.5%
8 148
 
4.4%
6 140
 
4.2%
7 114
 
3.4%
9 113
 
3.4%
5 111
 
3.3%
Other values (8) 105
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2492
74.7%
Other Punctuation 835
 
25.0%
Other Letter 5
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 792
31.8%
1 558
22.4%
2 271
 
10.9%
3 151
 
6.1%
8 148
 
5.9%
6 140
 
5.6%
7 114
 
4.6%
9 113
 
4.5%
5 111
 
4.5%
4 94
 
3.8%
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 (%)
. 833
99.8%
, 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3331
99.9%
Hangul 5
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 833
25.0%
0 792
23.8%
1 558
16.8%
2 271
 
8.1%
3 151
 
4.5%
8 148
 
4.4%
6 140
 
4.2%
7 114
 
3.4%
9 113
 
3.4%
5 111
 
3.3%
Other values (3) 100
 
3.0%
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 3331
99.9%
Hangul 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 833
25.0%
0 792
23.8%
1 558
16.8%
2 271
 
8.1%
3 151
 
4.5%
8 148
 
4.4%
6 140
 
4.2%
7 114
 
3.4%
9 113
 
3.4%
5 111
 
3.3%
Other values (3) 100
 
3.0%
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 

Distinct396
Distinct (%)95.0%
Missing17
Missing (%)3.9%
Memory size3.5 KiB
2024-03-14T09:54:37.693720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0479616
Min length2

Characters and Unicode

Total characters1271
Distinct characters181
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

Unique379 ?
Unique (%)90.9%

Sample

1st row시설장
2nd row김구중
3rd row오미화
4th row문미애
5th row심근자
ValueCountFrequency (%)
박미숙 4
 
0.9%
김은경 3
 
0.7%
진숙선 3
 
0.7%
신막래 2
 
0.5%
윤하람 2
 
0.5%
김혜란 2
 
0.5%
김진숙 2
 
0.5%
김인숙 2
 
0.5%
이미숙 2
 
0.5%
김선자 2
 
0.5%
Other values (391) 398
94.3%
2024-03-14T09:54:38.066849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 89
 
7.0%
이 58
 
4.6%
정 46
 
3.6%
영 43
 
3.4%
숙 39
 
3.1%
박 36
 
2.8%
희 30
 
2.4%
순 29
 
2.3%
성 28
 
2.2%
최 27
 
2.1%
Other values (171) 846
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1254
98.7%
Space Separator 16
 
1.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 89
 
7.1%
이 58
 
4.6%
정 46
 
3.7%
영 43
 
3.4%
숙 39
 
3.1%
박 36
 
2.9%
희 30
 
2.4%
순 29
 
2.3%
성 28
 
2.2%
최 27
 
2.2%
Other values (169) 829
66.1%
Space Separator
ValueCountFrequency (%)
16
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1254
98.7%
Common 17
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 89
 
7.1%
이 58
 
4.6%
정 46
 
3.7%
영 43
 
3.4%
숙 39
 
3.1%
박 36
 
2.9%
희 30
 
2.4%
순 29
 
2.3%
성 28
 
2.2%
최 27
 
2.2%
Other values (169) 829
66.1%
Common
ValueCountFrequency (%)
16
94.1%
1 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1254
98.7%
ASCII 17
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 89
 
7.1%
이 58
 
4.6%
정 46
 
3.7%
영 43
 
3.4%
숙 39
 
3.1%
박 36
 
2.9%
희 30
 
2.4%
순 29
 
2.3%
성 28
 
2.2%
최 27
 
2.2%
Other values (169) 829
66.1%
ASCII
ValueCountFrequency (%)
16
94.1%
1 1
 
5.9%

Unnamed: 5
Text

MISSING 

Distinct403
Distinct (%)96.6%
Missing17
Missing (%)3.9%
Memory size3.5 KiB
2024-03-14T09:54:38.364666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length17.203837
Min length3

Characters and Unicode

Total characters7174
Distinct characters277
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique389 ?
Unique (%)93.3%

Sample

1st row주 소
2nd row전주시 완산구 물왕멀2길 20-29
3rd row전주시 덕진구 아중7길 9-5
4th row전주시 완산구 바람쐬는길152(대성동)
5th row전주시 덕진구 동부대로 926
ValueCountFrequency (%)
전주시 93
 
5.9%
익산시 78
 
5.0%
완산구 57
 
3.6%
전북 45
 
2.9%
덕진구 34
 
2.2%
김제시 31
 
2.0%
군산시 28
 
1.8%
정읍시 27
 
1.7%
남원시 23
 
1.5%
완주군 21
 
1.3%
Other values (835) 1134
72.2%
2024-03-14T09:54:38.843502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1159
 
16.2%
1 388
 
5.4%
시 285
 
4.0%
산 259
 
3.6%
길 238
 
3.3%
2 220
 
3.1%
로 187
 
2.6%
- 185
 
2.6%
면 174
 
2.4%
3 173
 
2.4%
Other values (267) 3906
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3970
55.3%
Decimal Number 1613
22.5%
Space Separator 1178
 
16.4%
Dash Punctuation 185
 
2.6%
Close Punctuation 87
 
1.2%
Open Punctuation 87
 
1.2%
Other Punctuation 50
 
0.7%
Lowercase Letter 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 285
 
7.2%
산 259
 
6.5%
길 238
 
6.0%
로 187
 
4.7%
면 174
 
4.4%
전 146
 
3.7%
주 140
 
3.5%
군 130
 
3.3%
동 126
 
3.2%
구 113
 
2.8%
Other values (245) 2172
54.7%
Decimal Number
ValueCountFrequency (%)
1 388
24.1%
2 220
13.6%
3 173
10.7%
4 153
 
9.5%
0 127
 
7.9%
6 121
 
7.5%
7 118
 
7.3%
5 113
 
7.0%
8 102
 
6.3%
9 98
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 21
42.0%
/ 13
26.0%
@ 11
22.0%
. 5
 
10.0%
Space Separator
ValueCountFrequency (%)
1159
98.4%
  19
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3970
55.3%
Common 3200
44.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 285
 
7.2%
산 259
 
6.5%
길 238
 
6.0%
로 187
 
4.7%
면 174
 
4.4%
전 146
 
3.7%
주 140
 
3.5%
군 130
 
3.3%
동 126
 
3.2%
구 113
 
2.8%
Other values (245) 2172
54.7%
Common
ValueCountFrequency (%)
1159
36.2%
1 388
 
12.1%
2 220
 
6.9%
- 185
 
5.8%
3 173
 
5.4%
4 153
 
4.8%
0 127
 
4.0%
6 121
 
3.8%
7 118
 
3.7%
5 113
 
3.5%
Other values (9) 443
 
13.8%
Latin
ValueCountFrequency (%)
a 2
50.0%
B 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3970
55.3%
ASCII 3185
44.4%
None 19
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1159
36.4%
1 388
 
12.2%
2 220
 
6.9%
- 185
 
5.8%
3 173
 
5.4%
4 153
 
4.8%
0 127
 
4.0%
6 121
 
3.8%
7 118
 
3.7%
5 113
 
3.5%
Other values (11) 428
 
13.4%
Hangul
ValueCountFrequency (%)
시 285
 
7.2%
산 259
 
6.5%
길 238
 
6.0%
로 187
 
4.7%
면 174
 
4.4%
전 146
 
3.7%
주 140
 
3.5%
군 130
 
3.3%
동 126
 
3.2%
구 113
 
2.8%
Other values (245) 2172
54.7%
None
ValueCountFrequency (%)
  19
100.0%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)3.5%
Memory size3.5 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing16
Missing (%)3.7%
Memory size3.5 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)3.5%
Memory size3.5 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing16
Missing (%)3.7%
Memory size3.5 KiB

Unnamed: 10
Text

MISSING 

Distinct163
Distinct (%)39.0%
Missing16
Missing (%)3.7%
Memory size3.5 KiB
2024-03-14T09:54:39.018713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length5.5837321
Min length2

Characters and Unicode

Total characters2334
Distinct characters201
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)29.9%

Sample

1st row2015년 6월말 현재
2nd row운영주체(법인명)
3rd row마음건강복지재단
4th row인산의료재단
5th row참사랑복지회
ValueCountFrequency (%)
개인 193
40.4%
사회복지법인 23
 
4.8%
사복 16
 
3.3%
삼동회 13
 
2.7%
사복)중도원 6
 
1.3%
한기장복지재단 6
 
1.3%
원광효도마을 6
 
1.3%
사복)자림복지재단 5
 
1.0%
한울안 5
 
1.0%
전주가톨릭사회복지회 4
 
0.8%
Other values (162) 201
42.1%
2024-03-14T09:54:39.294749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 260
 
11.1%
개 199
 
8.5%
복 198
 
8.5%
사 140
 
6.0%
지 140
 
6.0%
회 108
 
4.6%
95
 
4.1%
) 90
 
3.9%
단 77
 
3.3%
재 76
 
3.3%
Other values (191) 951
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2118
90.7%
Space Separator 95
 
4.1%
Close Punctuation 90
 
3.9%
Open Punctuation 19
 
0.8%
Decimal Number 5
 
0.2%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 260
 
12.3%
개 199
 
9.4%
복 198
 
9.3%
사 140
 
6.6%
지 140
 
6.6%
회 108
 
5.1%
단 77
 
3.6%
재 76
 
3.6%
원 64
 
3.0%
법 50
 
2.4%
Other values (177) 806
38.1%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
0 1
20.0%
1 1
20.0%
5 1
20.0%
6 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
W 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2119
90.8%
Common 211
 
9.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 260
 
12.3%
개 199
 
9.4%
복 198
 
9.3%
사 140
 
6.6%
지 140
 
6.6%
회 108
 
5.1%
단 77
 
3.6%
재 76
 
3.6%
원 64
 
3.0%
법 50
 
2.4%
Other values (178) 807
38.1%
Common
ValueCountFrequency (%)
95
45.0%
) 90
42.7%
( 19
 
9.0%
, 2
 
0.9%
2 1
 
0.5%
0 1
 
0.5%
1 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
W 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2118
90.7%
ASCII 215
 
9.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 260
 
12.3%
개 199
 
9.4%
복 198
 
9.3%
사 140
 
6.6%
지 140
 
6.6%
회 108
 
5.1%
단 77
 
3.6%
재 76
 
3.6%
원 64
 
3.0%
법 50
 
2.4%
Other values (177) 806
38.1%
ASCII
ValueCountFrequency (%)
95
44.2%
) 90
41.9%
( 19
 
8.8%
, 2
 
0.9%
A 1
 
0.5%
2 1
 
0.5%
C 1
 
0.5%
0 1
 
0.5%
W 1
 
0.5%
1 1
 
0.5%
Other values (3) 3
 
1.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 11
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
378 
지적
 
21
중증
 
8
지적
 
5
지체
 
4
Other values (14)
 
18

Length

Max length18
Median length4
Mean length3.8571429
Min length2

Unique

Unique10 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 378
87.1%
지적 21
 
4.8%
중증 8
 
1.8%
지적 5
 
1.2%
지체 4
 
0.9%
휴지 2
 
0.5%
중증실비 2
 
0.5%
추가 2
 
0.5%
신규 2
 
0.5%
지적(여) 1
 
0.2%
Other values (9) 9
 
2.1%

Length

2024-03-14T09:54:39.405769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 378
86.9%
지적 26
 
6.0%
중증 8
 
1.8%
지체 4
 
0.9%
휴지 3
 
0.7%
중증실비 2
 
0.5%
추가 2
 
0.5%
신규 2
 
0.5%
주거(이용 1
 
0.2%
15.7.15폐지 1
 
0.2%
Other values (8) 8
 
1.8%

Correlations

2024-03-14T09:54:39.486402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전라북도 사회복지(생활)시설 현황Unnamed: 11
전라북도 사회복지(생활)시설 현황1.0000.942
Unnamed: 110.9421.000
2024-03-14T09:54:39.636941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전라북도 사회복지(생활)시설 현황Unnamed: 11
전라북도 사회복지(생활)시설 현황1.0000.700
Unnamed: 110.7001.000
2024-03-14T09:54:39.721527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전라북도 사회복지(생활)시설 현황Unnamed: 11
전라북도 사회복지(생활)시설 현황1.0000.700
Unnamed: 110.7001.000

Missing values

2024-03-14T09:54:36.241608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:54:36.438290image/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.
2024-03-14T09:54:36.584140image/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 사회복지(생활)시설 현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
0NaN<NA>NaN<NA><NA><NA>NaNNaNNaNNaN2015년 6월말 현재<NA>
1연번시설구분시 설 일 반 현 황<NA><NA><NA>종사자NaN생활인NaN운영주체(법인명)비고
2NaN<NA>시설명설치신고일시설장주 소정원현원정원현원<NA><NA>
3총계전라북도416<NA><NA><NA>595457691405911359<NA><NA>
4소계전주시96<NA><NA><NA>NaNNaNNaNNaN<NA><NA>
51사회복귀시설(종합시설)마음건강복지관00.12.08김구중전주시 완산구 물왕멀2길 20-2915152626마음건강복지재단<NA>
62사회복귀시설(종합시설)아름다운세상02.11.21오미화전주시 덕진구 아중7길 9-511112020인산의료재단<NA>
73정신요양시설참사랑낙원85.01.11문미애전주시 완산구 바람쐬는길152(대성동)3131176169참사랑복지회<NA>
84노숙인 요양시설전주사랑의집82.03.04심근자전주시 덕진구 동부대로 92614156060전주가톨릭사회복지회<NA>
95노숙인 자활시설일꾼쉼터98.12.07임내규덕진구 하가1길 6441917대한성공회유지재단<NA>
Unnamed: 0전라북도 사회복지(생활)시설 현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
42411아동양육고창행복원52.07.05박지환전북 고창군 고창읍 모양성로 116-1318156041고창행복원<NA>
42512아동양육요엘원66.06.04양향환전북 고창군 무장면 학천로 22121166443아모스<NA>
42613아동보호치료시설희망샘학교73.08.01김정강전북 고창군 무장면 학천로226-1626237055아모스<NA>
427소계부안군6<NA><NA><NA>NaNNaNNaNNaN<NA><NA>
4281노인요양시설송산효도마을05.09.08김은경부안군 주산면 화봉길 8-3049499079한울안<NA>
4292노인요양시설은총의집06.09.29주혜숙부안군 상서면 부안로 1539-2118182324개인<NA>
4303노인요양시설로댐실버케어11.07.29유희성부안군 하서면 고인돌로 34715151819개인<NA>
4314노인요양시설부안군노인요양원10.03.11송용기부안군 부안읍 봉두길 5230304041사회복지법인한국장로교복지재단<NA>
4325노인요양시설산타요양원15.2.13김성일부안군 부안읍 매창로 287-43772015개인<NA>
4336노인요양공동생활가정섬김요양원14.12.01박난주부안군 동진로 1718899개인<NA>