Overview

Dataset statistics

Number of variables12
Number of observations447
Missing cells152
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.0 KiB
Average record size in memory96.3 B

Variable types

Unsupported6
Text5
Categorical1

Alerts

Unnamed: 11 is highly imbalanced (77.2%)Imbalance
Unnamed: 3 has 20 (4.5%) missing valuesMissing
Unnamed: 4 has 20 (4.5%) missing valuesMissing
Unnamed: 5 has 18 (4.0%) missing valuesMissing
Unnamed: 6 has 17 (3.8%) missing valuesMissing
Unnamed: 7 has 18 (4.0%) missing valuesMissing
Unnamed: 8 has 17 (3.8%) missing valuesMissing
Unnamed: 9 has 18 (4.0%) missing valuesMissing
Unnamed: 10 has 19 (4.3%) missing valuesMissing
전라북도 사회복지(생활)시설 현황 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 01:55:10.272028
Analysis finished2024-03-14 01:55:11.105461
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전라북도 사회복지(생활)시설 현황
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.4%
Memory size3.6 KiB

Unnamed: 1
Text

Distinct52
Distinct (%)11.7%
Missing2
Missing (%)0.4%
Memory size3.6 KiB
2024-03-14T10:55:11.223590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.5011236
Min length3

Characters and Unicode

Total characters3338
Distinct characters80
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

Unique28 ?
Unique (%)6.3%

Sample

1st row시설구분
2nd row전라북도
3rd row전주시
4th row사회복귀시설(종합시설)
5th row사회복귀시설(공동생활)
ValueCountFrequency (%)
노인요양시설 148
30.9%
노인요양공동생활가정 76
15.9%
장애인거주시설 51
 
10.6%
아동공동생활가정 31
 
6.5%
장애인 19
 
4.0%
공동생활가정 17
 
3.5%
아동양육시설 12
 
2.5%
노인양로시설 12
 
2.5%
사회복귀시설(종합시설 10
 
2.1%
아동 9
 
1.9%
Other values (44) 94
19.6%
2024-03-14T10:55:11.492679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 327
 
9.8%
시 299
 
9.0%
설 293
 
8.8%
양 256
 
7.7%
노 253
 
7.6%
요 230
 
6.9%
동 215
 
6.4%
활 159
 
4.8%
공 156
 
4.7%
생 155
 
4.6%
Other values (70) 995
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3254
97.5%
Space Separator 38
 
1.1%
Close Punctuation 23
 
0.7%
Open Punctuation 23
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 327
 
10.0%
시 299
 
9.2%
설 293
 
9.0%
양 256
 
7.9%
노 253
 
7.8%
요 230
 
7.1%
동 215
 
6.6%
활 159
 
4.9%
공 156
 
4.8%
생 155
 
4.8%
Other values (67) 911
28.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3254
97.5%
Common 84
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 327
 
10.0%
시 299
 
9.2%
설 293
 
9.0%
양 256
 
7.9%
노 253
 
7.8%
요 230
 
7.1%
동 215
 
6.6%
활 159
 
4.9%
공 156
 
4.8%
생 155
 
4.8%
Other values (67) 911
28.0%
Common
ValueCountFrequency (%)
38
45.2%
) 23
27.4%
( 23
27.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3254
97.5%
ASCII 84
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 327
 
10.0%
시 299
 
9.2%
설 293
 
9.0%
양 256
 
7.9%
노 253
 
7.8%
요 230
 
7.1%
동 215
 
6.6%
활 159
 
4.9%
공 156
 
4.8%
생 155
 
4.8%
Other values (67) 911
28.0%
ASCII
ValueCountFrequency (%)
38
45.2%
) 23
27.4%
( 23
27.4%

Unnamed: 2
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.2%
Memory size3.6 KiB

Unnamed: 3
Text

MISSING 

Distinct397
Distinct (%)93.0%
Missing20
Missing (%)4.5%
Memory size3.6 KiB
2024-03-14T10:55:11.754355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.5690867
Min length5

Characters and Unicode

Total characters4086
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

Unique373 ?
Unique (%)87.4%

Sample

1st row설치신고일
2nd row2000.12.08
3rd row2011.07.04
4th row2002.11.21
5th row2011.05.26
ValueCountFrequency (%)
2006.11.10 5
 
1.2%
02.03.27 3
 
0.7%
07.03.09 3
 
0.7%
2011.07.04 3
 
0.7%
2008.12.31 2
 
0.5%
2008.06.25 2
 
0.5%
2006.12.29 2
 
0.5%
2010.03.01 2
 
0.5%
2008.06.30 2
 
0.5%
2008.12.18 2
 
0.5%
Other values (389) 405
94.0%
2024-03-14T10:55:12.130764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1078
26.4%
. 852
20.9%
1 615
15.1%
2 573
14.0%
9 177
 
4.3%
3 157
 
3.8%
8 153
 
3.7%
6 140
 
3.4%
7 120
 
2.9%
5 104
 
2.5%
Other values (8) 117
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3212
78.6%
Other Punctuation 855
 
20.9%
Space Separator 14
 
0.3%
Other Letter 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1078
33.6%
1 615
19.1%
2 573
17.8%
9 177
 
5.5%
3 157
 
4.9%
8 153
 
4.8%
6 140
 
4.4%
7 120
 
3.7%
5 104
 
3.2%
4 95
 
3.0%
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 (%)
. 852
99.6%
, 3
 
0.4%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4081
99.9%
Hangul 5
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1078
26.4%
. 852
20.9%
1 615
15.1%
2 573
14.0%
9 177
 
4.3%
3 157
 
3.8%
8 153
 
3.7%
6 140
 
3.4%
7 120
 
2.9%
5 104
 
2.5%
Other values (3) 112
 
2.7%
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 4081
99.9%
Hangul 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1078
26.4%
. 852
20.9%
1 615
15.1%
2 573
14.0%
9 177
 
4.3%
3 157
 
3.8%
8 153
 
3.7%
6 140
 
3.4%
7 120
 
2.9%
5 104
 
2.5%
Other values (3) 112
 
2.7%
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 

Distinct403
Distinct (%)94.4%
Missing20
Missing (%)4.5%
Memory size3.6 KiB
2024-03-14T10:55:12.414883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0608899
Min length2

Characters and Unicode

Total characters1307
Distinct characters184
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

Unique384 ?
Unique (%)89.9%

Sample

1st row시설장
2nd row박헌수
3rd row김구중
4th row오미화
5th row강경희
ValueCountFrequency (%)
박미숙 4
 
0.9%
이건중 3
 
0.7%
진숙선 3
 
0.7%
김은경 3
 
0.7%
권영조 2
 
0.5%
정 2
 
0.5%
이미숙 2
 
0.5%
이법영 2
 
0.5%
김진숙 2
 
0.5%
이순자 2
 
0.5%
Other values (398) 408
94.2%
2024-03-14T10:55:12.785228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 92
 
7.0%
이 58
 
4.4%
정 51
 
3.9%
영 47
 
3.6%
숙 40
 
3.1%
박 35
 
2.7%
희 35
 
2.7%
성 31
 
2.4%
미 29
 
2.2%
최 29
 
2.2%
Other values (174) 860
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1285
98.3%
Space Separator 21
 
1.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 92
 
7.2%
이 58
 
4.5%
정 51
 
4.0%
영 47
 
3.7%
숙 40
 
3.1%
박 35
 
2.7%
희 35
 
2.7%
성 31
 
2.4%
미 29
 
2.3%
최 29
 
2.3%
Other values (172) 838
65.2%
Space Separator
ValueCountFrequency (%)
21
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1285
98.3%
Common 22
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 92
 
7.2%
이 58
 
4.5%
정 51
 
4.0%
영 47
 
3.7%
숙 40
 
3.1%
박 35
 
2.7%
희 35
 
2.7%
성 31
 
2.4%
미 29
 
2.3%
최 29
 
2.3%
Other values (172) 838
65.2%
Common
ValueCountFrequency (%)
21
95.5%
1 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1285
98.3%
ASCII 22
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 92
 
7.2%
이 58
 
4.5%
정 51
 
4.0%
영 47
 
3.7%
숙 40
 
3.1%
박 35
 
2.7%
희 35
 
2.7%
성 31
 
2.4%
미 29
 
2.3%
최 29
 
2.3%
Other values (172) 838
65.2%
ASCII
ValueCountFrequency (%)
21
95.5%
1 1
 
4.5%

Unnamed: 5
Text

MISSING 

Distinct412
Distinct (%)96.0%
Missing18
Missing (%)4.0%
Memory size3.6 KiB
2024-03-14T10:55:13.061886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length17.130536
Min length3

Characters and Unicode

Total characters7349
Distinct characters278
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

Unique395 ?
Unique (%)92.1%

Sample

1st row주 소
2nd row전주시 완산구 물왕멀2길 20-29
3rd row전주시 완산구 물왕멀2길 25
4th row전주시 덕진구 아중7길 9-5
5th row전주시 덕진구 인교9길 11 아중지1 401호
ValueCountFrequency (%)
전주시 101
 
6.2%
익산시 81
 
5.0%
완산구 61
 
3.8%
전북 46
 
2.8%
덕진구 38
 
2.3%
김제시 31
 
1.9%
정읍시 28
 
1.7%
군산시 28
 
1.7%
남원시 23
 
1.4%
완주군 21
 
1.3%
Other values (858) 1167
71.8%
2024-03-14T10:55:13.481642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1204
 
16.4%
1 380
 
5.2%
시 296
 
4.0%
산 264
 
3.6%
길 240
 
3.3%
2 229
 
3.1%
- 193
 
2.6%
로 186
 
2.5%
3 179
 
2.4%
면 177
 
2.4%
Other values (268) 4001
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4071
55.4%
Decimal Number 1644
22.4%
Space Separator 1223
 
16.6%
Dash Punctuation 193
 
2.6%
Close Punctuation 85
 
1.2%
Open Punctuation 85
 
1.2%
Other Punctuation 38
 
0.5%
Uppercase Letter 6
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 296
 
7.3%
산 264
 
6.5%
길 240
 
5.9%
로 186
 
4.6%
면 177
 
4.3%
전 155
 
3.8%
주 153
 
3.8%
군 131
 
3.2%
동 124
 
3.0%
구 120
 
2.9%
Other values (246) 2225
54.7%
Decimal Number
ValueCountFrequency (%)
1 380
23.1%
2 229
13.9%
3 179
10.9%
4 156
9.5%
0 133
 
8.1%
6 125
 
7.6%
7 119
 
7.2%
5 119
 
7.2%
8 103
 
6.3%
9 101
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 12
31.6%
/ 10
26.3%
. 9
23.7%
@ 7
18.4%
Space Separator
ValueCountFrequency (%)
1204
98.4%
  19
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
66.7%
B 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4071
55.4%
Common 3268
44.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 296
 
7.3%
산 264
 
6.5%
길 240
 
5.9%
로 186
 
4.6%
면 177
 
4.3%
전 155
 
3.8%
주 153
 
3.8%
군 131
 
3.2%
동 124
 
3.0%
구 120
 
2.9%
Other values (246) 2225
54.7%
Common
ValueCountFrequency (%)
1204
36.8%
1 380
 
11.6%
2 229
 
7.0%
- 193
 
5.9%
3 179
 
5.5%
4 156
 
4.8%
0 133
 
4.1%
6 125
 
3.8%
7 119
 
3.6%
5 119
 
3.6%
Other values (9) 431
 
13.2%
Latin
ValueCountFrequency (%)
a 4
40.0%
A 4
40.0%
B 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4071
55.4%
ASCII 3259
44.3%
None 19
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1204
36.9%
1 380
 
11.7%
2 229
 
7.0%
- 193
 
5.9%
3 179
 
5.5%
4 156
 
4.8%
0 133
 
4.1%
6 125
 
3.8%
7 119
 
3.7%
5 119
 
3.7%
Other values (11) 422
 
12.9%
Hangul
ValueCountFrequency (%)
시 296
 
7.3%
산 264
 
6.5%
길 240
 
5.9%
로 186
 
4.6%
면 177
 
4.3%
전 155
 
3.8%
주 153
 
3.8%
군 131
 
3.2%
동 124
 
3.0%
구 120
 
2.9%
Other values (246) 2225
54.7%
None
ValueCountFrequency (%)
  19
100.0%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing17
Missing (%)3.8%
Memory size3.6 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing18
Missing (%)4.0%
Memory size3.6 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing17
Missing (%)3.8%
Memory size3.6 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing18
Missing (%)4.0%
Memory size3.6 KiB

Unnamed: 10
Text

MISSING 

Distinct171
Distinct (%)40.0%
Missing19
Missing (%)4.3%
Memory size3.6 KiB
2024-03-14T10:55:13.685098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length5.6285047
Min length2

Characters and Unicode

Total characters2409
Distinct characters203
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

Unique131 ?
Unique (%)30.6%

Sample

1st row2014년 6월말
2nd row운영주체(법인명)
3rd row마음건강복지재단
4th row마음건강복지재단
5th row인산의료재단
ValueCountFrequency (%)
개인 194
39.8%
사회복지법인 23
 
4.7%
사복 17
 
3.5%
삼동회 14
 
2.9%
사복)중도원 6
 
1.2%
한기장복지재단 6
 
1.2%
원광효도마을 6
 
1.2%
사복)자림복지재단 5
 
1.0%
한울안 5
 
1.0%
인산의료재단 3
 
0.6%
Other values (168) 209
42.8%
2024-03-14T10:55:14.061668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 266
 
11.0%
복 201
 
8.3%
개 200
 
8.3%
지 145
 
6.0%
사 142
 
5.9%
회 109
 
4.5%
101
 
4.2%
) 93
 
3.9%
단 82
 
3.4%
재 80
 
3.3%
Other values (193) 990
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2183
90.6%
Space Separator 101
 
4.2%
Close Punctuation 93
 
3.9%
Open Punctuation 20
 
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 266
 
12.2%
복 201
 
9.2%
개 200
 
9.2%
지 145
 
6.6%
사 142
 
6.5%
회 109
 
5.0%
단 82
 
3.8%
재 80
 
3.7%
원 63
 
2.9%
법 51
 
2.3%
Other values (179) 844
38.7%
Decimal Number
ValueCountFrequency (%)
0 1
20.0%
2 1
20.0%
1 1
20.0%
4 1
20.0%
6 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
A 1
25.0%
C 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2184
90.7%
Common 221
 
9.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 266
 
12.2%
복 201
 
9.2%
개 200
 
9.2%
지 145
 
6.6%
사 142
 
6.5%
회 109
 
5.0%
단 82
 
3.8%
재 80
 
3.7%
원 63
 
2.9%
법 51
 
2.3%
Other values (180) 845
38.7%
Common
ValueCountFrequency (%)
101
45.7%
) 93
42.1%
( 20
 
9.0%
, 2
 
0.9%
0 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
Latin
ValueCountFrequency (%)
W 1
25.0%
A 1
25.0%
C 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2183
90.6%
ASCII 225
 
9.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 266
 
12.2%
복 201
 
9.2%
개 200
 
9.2%
지 145
 
6.6%
사 142
 
6.5%
회 109
 
5.0%
단 82
 
3.8%
재 80
 
3.7%
원 63
 
2.9%
법 51
 
2.3%
Other values (179) 844
38.7%
ASCII
ValueCountFrequency (%)
101
44.9%
) 93
41.3%
( 20
 
8.9%
, 2
 
0.9%
0 1
 
0.4%
2 1
 
0.4%
1 1
 
0.4%
4 1
 
0.4%
6 1
 
0.4%
W 1
 
0.4%
Other values (3) 3
 
1.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 11
Categorical

IMBALANCE 

Distinct17
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
388 
지적
 
27
중증
 
9
지적
 
5
지체
 
5
Other values (12)
 
13

Length

Max length38
Median length4
Mean length4.0067114
Min length2

Unique

Unique11 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 388
86.8%
지적 27
 
6.0%
중증 9
 
2.0%
지적 5
 
1.1%
지체 5
 
1.1%
중증실비 2
 
0.4%
2014.1.29~2015.1.28 1
 
0.2%
지적(여) 1
 
0.2%
휴지 중 14.6.18~15.5.31 1
 
0.2%
비고 1
 
0.2%
Other values (7) 7
 
1.6%

Length

2024-03-14T10:55:14.195074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 388
85.5%
지적 32
 
7.0%
중증 9
 
2.0%
지체 5
 
1.1%
중증실비 2
 
0.4%
휴지 2
 
0.4%
중 2
 
0.4%
영유아 1
 
0.2%
2014.1.1 1
 
0.2%
휴지기간 1
 
0.2%
Other values (11) 11
 
2.4%

Correlations

2024-03-14T10:55:14.254644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 11
Unnamed: 11.0000.985
Unnamed: 110.9851.000

Missing values

2024-03-14T10:55:10.671021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:55:10.803419image/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.
2024-03-14T10:55:10.980272image/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

전라북도 사회복지(생활)시설 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
0NaN<NA>NaN<NA><NA><NA>NaNNaNNaNNaN2014년 6월말<NA>
1연번시설구분시 설 일 반 현 황<NA><NA><NA>종사자NaN생활인NaN운영주체(법인명)비고
2NaN<NA>시설명설치신고일시설장주 소정원현원정원현원<NA><NA>
3총계전라북도429<NA><NA><NA>578556831413211274<NA><NA>
4소계전주시104<NA><NA><NA>NaNNaNNaNNaN<NA><NA>
51사회복귀시설(종합시설)마음건강복지관2000.12.08박헌수전주시 완산구 물왕멀2길 20-2914142626마음건강복지재단<NA>
62사회복귀시설(공동생활)마음건강회복홈2011.07.04김구중전주시 완산구 물왕멀2길 251144마음건강복지재단<NA>
73사회복귀시설(종합시설)아름다운세상2002.11.21오미화전주시 덕진구 아중7길 9-511112020인산의료재단<NA>
84사회복귀시설(공동생활)아름다운집2011.05.26강경희전주시 덕진구 인교9길 11 아중지1 401호1144인산의료재단<NA>
95사회복귀시설(공동생활)꿈이있는집2012.05.08강경희전주시 덕진구 아중1길 23-3 퓨처빌B 402호1144인산의료재단<NA>
전라북도 사회복지(생활)시설 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
43710노인요양공동생활가정에덴의마을2009.10.01이루리전북 고창군 해리면 해리송산길 1066699개인<NA>
43811아동양육고창행복원1952.7.5강선자전북 고창군 고창읍 모양성로 116-1319157038고창행복원<NA>
43912아동양육요엘원1966.6.4양향환전북 고창군 무장면 학천로 22121166442아모스<NA>
44013아동보호치료시설희망샘학교1973.8.1김정강전북 고창군 무장면 학천로226-1622227049아모스<NA>
441소계부안군5<NA><NA><NA>NaNNaNNaNNaN<NA><NA>
4421노인공동생활가정배매골사랑방2010.02.20이정희부안군 주산면 주산북로 2143390개인<NA>
4432노인요양시설송산효도마을2005.09.08김은경부안군 주산면 화봉길 8-3048489082한울안<NA>
4443노인요양시설은총의집2006.09.29주혜숙부안군 상서면 부안로 1539-2117172323개인<NA>
4454노인요양시설로댐실버케어2011.07.29유희성부안군 하서면 고인돌로 34711111817개인<NA>
4465노인요양시설부안군노인요양원2010.03.11권란희부안군 부안읍 봉두길 5230304141사회복지법인한국장로교복지재단<NA>