Overview

Dataset statistics

Number of variables10
Number of observations251
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory83.5 B

Variable types

Numeric3
Categorical3
Text3
DateTime1

Dataset

Description2017년 기준 경남도내 장애인 복지관 현황입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15053051/fileData.do

Alerts

구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
이용인원(입소자 현황) is highly overall correlated with 종사자 현황High correlation
종사자 현황 is highly overall correlated with 이용인원(입소자 현황) and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:15:45.979537
Analysis finished2023-12-12 06:15:47.574435
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126
Minimum1
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T15:15:47.659466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.5
Q163.5
median126
Q3188.5
95-th percentile238.5
Maximum251
Range250
Interquartile range (IQR)125

Descriptive statistics

Standard deviation72.601653
Coefficient of variation (CV)0.57620359
Kurtosis-1.2
Mean126
Median Absolute Deviation (MAD)63
Skewness0
Sum31626
Variance5271
MonotonicityStrictly increasing
2023-12-12T15:15:47.837451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
174 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
Other values (241) 241
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%

구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
장애인거주시설
95 
장애인직업재활시설
49 
장애인주간보호시설
47 
장애인생활이동지원센터
20 
장애인수화통역센터
20 
Other values (4)
20 

Length

Max length11
Median length10
Mean length7.9760956
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
장애인거주시설 95
37.8%
장애인직업재활시설 49
19.5%
장애인주간보호시설 47
18.7%
장애인생활이동지원센터 20
 
8.0%
장애인수화통역센터 20
 
8.0%
복지관 14
 
5.6%
복지센터 4
 
1.6%
점자도서관 1
 
0.4%
장애인생산품판매시설 1
 
0.4%

Length

2023-12-12T15:15:47.977540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:15:48.094961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인거주시설 95
37.8%
장애인직업재활시설 49
19.5%
장애인주간보호시설 47
18.7%
장애인생활이동지원센터 20
 
8.0%
장애인수화통역센터 20
 
8.0%
복지관 14
 
5.6%
복지센터 4
 
1.6%
점자도서관 1
 
0.4%
장애인생산품판매시설 1
 
0.4%

시군명
Categorical

Distinct20
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
창원시
71 
김해시
21 
거제시
20 
진주시
19 
양산시
13 
Other values (15)
107 

Length

Max length4
Median length3
Mean length3.0119522
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row경상남도
2nd row창원시
3rd row창원시
4th row창원시
5th row진주시

Common Values

ValueCountFrequency (%)
창원시 71
28.3%
김해시 21
 
8.4%
거제시 20
 
8.0%
진주시 19
 
7.6%
양산시 13
 
5.2%
통영시 12
 
4.8%
밀양시 12
 
4.8%
사천시 10
 
4.0%
함안군 10
 
4.0%
남해군 9
 
3.6%
Other values (10) 54
21.5%

Length

2023-12-12T15:15:48.218778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 71
28.3%
김해시 21
 
8.4%
거제시 20
 
8.0%
진주시 19
 
7.6%
양산시 13
 
5.2%
통영시 12
 
4.8%
밀양시 12
 
4.8%
사천시 10
 
4.0%
함안군 10
 
4.0%
남해군 9
 
3.6%
Other values (9) 54
21.5%

시설명
Text

Distinct246
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:15:48.393113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.5816733
Min length2

Characters and Unicode

Total characters1903
Distinct characters218
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)96.4%

Sample

1st row경상남도장애인종합복지관
2nd row창원시장애인종합복지관
3rd row마산장애인복지관
4th row진해장애인복지관
5th row진주시장애인종합복지관
ValueCountFrequency (%)
집 6
 
2.1%
민들레집 3
 
1.1%
장애인복지센터 3
 
1.1%
사랑의 3
 
1.1%
주간보호센터 2
 
0.7%
주간보호소 2
 
0.7%
참좋은 2
 
0.7%
장애인복지관 2
 
0.7%
진해장애인복지관 2
 
0.7%
복지센터 2
 
0.7%
Other values (255) 257
90.5%
2023-12-12T15:15:48.676778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 92
 
4.8%
애 88
 
4.6%
인 83
 
4.4%
터 66
 
3.5%
시 59
 
3.1%
센 58
 
3.0%
지 47
 
2.5%
원 47
 
2.5%
보 45
 
2.4%
주 44
 
2.3%
Other values (208) 1274
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1864
98.0%
Space Separator 33
 
1.7%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 92
 
4.9%
애 88
 
4.7%
인 83
 
4.5%
터 66
 
3.5%
시 59
 
3.2%
센 58
 
3.1%
지 47
 
2.5%
원 47
 
2.5%
보 45
 
2.4%
주 44
 
2.4%
Other values (202) 1235
66.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
I 1
25.0%
F 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1864
98.0%
Common 35
 
1.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 92
 
4.9%
애 88
 
4.7%
인 83
 
4.5%
터 66
 
3.5%
시 59
 
3.2%
센 58
 
3.1%
지 47
 
2.5%
원 47
 
2.5%
보 45
 
2.4%
주 44
 
2.4%
Other values (202) 1235
66.3%
Latin
ValueCountFrequency (%)
D 1
25.0%
I 1
25.0%
F 1
25.0%
B 1
25.0%
Common
ValueCountFrequency (%)
33
94.3%
& 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1864
98.0%
ASCII 39
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 92
 
4.9%
애 88
 
4.7%
인 83
 
4.5%
터 66
 
3.5%
시 59
 
3.2%
센 58
 
3.1%
지 47
 
2.5%
원 47
 
2.5%
보 45
 
2.4%
주 44
 
2.4%
Other values (202) 1235
66.3%
ASCII
ValueCountFrequency (%)
33
84.6%
& 2
 
5.1%
D 1
 
2.6%
I 1
 
2.6%
F 1
 
2.6%
B 1
 
2.6%

소재지
Text

Distinct199
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:15:48.942354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length22.681275
Min length15

Characters and Unicode

Total characters5693
Distinct characters175
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)64.5%

Sample

1st row경상남도 창원시 의창구 봉곡로97번길 85
2nd row경상남도 창원시 의창구 봉곡로97번길 87
3rd row경상남도 창원시 마산합포구 반월서7길 59
4th row경상남도 창원시 진해구 진해대로 1101
5th row경상남도 진주시 동진로 273
ValueCountFrequency (%)
경상남도 251
 
19.7%
창원시 70
 
5.5%
의창구 27
 
2.1%
김해시 21
 
1.7%
거제시 20
 
1.6%
진주시 19
 
1.5%
마산합포구 14
 
1.1%
양산시 13
 
1.0%
밀양시 12
 
0.9%
진해구 12
 
0.9%
Other values (443) 812
63.9%
2023-12-12T15:15:49.497191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1026
 
18.0%
남 291
 
5.1%
상 262
 
4.6%
도 254
 
4.5%
경 253
 
4.4%
1 210
 
3.7%
로 181
 
3.2%
시 178
 
3.1%
2 138
 
2.4%
길 131
 
2.3%
Other values (165) 2769
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3479
61.1%
Decimal Number 1073
 
18.8%
Space Separator 1026
 
18.0%
Dash Punctuation 72
 
1.3%
Other Punctuation 41
 
0.7%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 291
 
8.4%
상 262
 
7.5%
도 254
 
7.3%
경 253
 
7.3%
로 181
 
5.2%
시 178
 
5.1%
길 131
 
3.8%
창 122
 
3.5%
원 88
 
2.5%
산 84
 
2.4%
Other values (150) 1635
47.0%
Decimal Number
ValueCountFrequency (%)
1 210
19.6%
2 138
12.9%
3 129
12.0%
4 117
10.9%
0 96
8.9%
7 92
8.6%
5 87
8.1%
6 81
 
7.5%
9 62
 
5.8%
8 61
 
5.7%
Space Separator
ValueCountFrequency (%)
1026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3479
61.1%
Common 2214
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 291
 
8.4%
상 262
 
7.5%
도 254
 
7.3%
경 253
 
7.3%
로 181
 
5.2%
시 178
 
5.1%
길 131
 
3.8%
창 122
 
3.5%
원 88
 
2.5%
산 84
 
2.4%
Other values (150) 1635
47.0%
Common
ValueCountFrequency (%)
1026
46.3%
1 210
 
9.5%
2 138
 
6.2%
3 129
 
5.8%
4 117
 
5.3%
0 96
 
4.3%
7 92
 
4.2%
5 87
 
3.9%
6 81
 
3.7%
- 72
 
3.3%
Other values (5) 166
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3479
61.1%
ASCII 2214
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1026
46.3%
1 210
 
9.5%
2 138
 
6.2%
3 129
 
5.8%
4 117
 
5.3%
0 96
 
4.3%
7 92
 
4.2%
5 87
 
3.9%
6 81
 
3.7%
- 72
 
3.3%
Other values (5) 166
 
7.5%
Hangul
ValueCountFrequency (%)
남 291
 
8.4%
상 262
 
7.5%
도 254
 
7.3%
경 253
 
7.3%
로 181
 
5.2%
시 178
 
5.1%
길 131
 
3.8%
창 122
 
3.5%
원 88
 
2.5%
산 84
 
2.4%
Other values (150) 1635
47.0%

시설장
Text

Distinct199
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:15:50.212409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters753
Distinct characters133
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

Unique156 ?
Unique (%)62.2%

Sample

1st row임효진
2nd row정영숙
3rd row최태식
4th row최 훈
5th row하영준
ValueCountFrequency (%)
홍춘기 6
 
2.4%
김장식 4
 
1.6%
김충효 3
 
1.2%
배춘국 3
 
1.2%
김종성 3
 
1.2%
김명환 2
 
0.8%
노태진 2
 
0.8%
이동관 2
 
0.8%
서은경 2
 
0.8%
진병진 2
 
0.8%
Other values (190) 223
88.5%
2023-12-12T15:15:50.742221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 64
 
8.5%
이 43
 
5.7%
정 34
 
4.5%
영 25
 
3.3%
박 25
 
3.3%
성 23
 
3.1%
기 19
 
2.5%
현 16
 
2.1%
종 16
 
2.1%
상 15
 
2.0%
Other values (123) 473
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
99.6%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 64
 
8.5%
이 43
 
5.7%
정 34
 
4.5%
영 25
 
3.3%
박 25
 
3.3%
성 23
 
3.1%
기 19
 
2.5%
현 16
 
2.1%
종 16
 
2.1%
상 15
 
2.0%
Other values (122) 470
62.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 64
 
8.5%
이 43
 
5.7%
정 34
 
4.5%
영 25
 
3.3%
박 25
 
3.3%
성 23
 
3.1%
기 19
 
2.5%
현 16
 
2.1%
종 16
 
2.1%
상 15
 
2.0%
Other values (122) 470
62.7%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 64
 
8.5%
이 43
 
5.7%
정 34
 
4.5%
영 25
 
3.3%
박 25
 
3.3%
성 23
 
3.1%
기 19
 
2.5%
현 16
 
2.1%
종 16
 
2.1%
상 15
 
2.0%
Other values (122) 470
62.7%
ASCII
ValueCountFrequency (%)
3
100.0%

시설설치 신고일
Date

Distinct234
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1951-08-10 00:00:00
Maximum2017-04-10 00:00:00
2023-12-12T15:15:50.892177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:51.062241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이용인원(입소자 현황)
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)27.6%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean37.548
Minimum0
Maximum564
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T15:15:51.225762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q330.75
95-th percentile141
Maximum564
Range564
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation72.791939
Coefficient of variation (CV)1.9386369
Kurtosis22.86473
Mean37.548
Median Absolute Deviation (MAD)11
Skewness4.5539118
Sum9387
Variance5298.6664
MonotonicityNot monotonic
2023-12-12T15:15:51.360422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 30
 
12.0%
20 18
 
7.2%
15 16
 
6.4%
10 13
 
5.2%
30 12
 
4.8%
40 9
 
3.6%
3 8
 
3.2%
12 7
 
2.8%
17 6
 
2.4%
8 6
 
2.4%
Other values (59) 125
49.8%
ValueCountFrequency (%)
0 1
 
0.4%
2 2
 
0.8%
3 8
 
3.2%
4 30
12.0%
5 4
 
1.6%
6 4
 
1.6%
7 2
 
0.8%
8 6
 
2.4%
9 2
 
0.8%
10 13
5.2%
ValueCountFrequency (%)
564 1
0.4%
450 1
0.4%
400 2
0.8%
396 1
0.4%
350 1
0.4%
300 1
0.4%
250 2
0.8%
200 1
0.4%
170 1
0.4%
160 1
0.4%

종사자 현황
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0398406
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T15:15:51.496124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile31.5
Maximum61
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.962044
Coefficient of variation (CV)1.3634653
Kurtosis5.564995
Mean8.0398406
Median Absolute Deviation (MAD)2
Skewness2.3597953
Sum2018
Variance120.16641
MonotonicityNot monotonic
2023-12-12T15:15:51.622114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 57
22.7%
4 43
17.1%
1 40
15.9%
5 22
 
8.8%
6 19
 
7.6%
2 18
 
7.2%
25 4
 
1.6%
24 4
 
1.6%
31 4
 
1.6%
7 3
 
1.2%
Other values (23) 37
14.7%
ValueCountFrequency (%)
1 40
15.9%
2 18
 
7.2%
3 57
22.7%
4 43
17.1%
5 22
 
8.8%
6 19
 
7.6%
7 3
 
1.2%
8 1
 
0.4%
9 2
 
0.8%
12 1
 
0.4%
ValueCountFrequency (%)
61 1
0.4%
58 1
0.4%
53 1
0.4%
46 1
0.4%
45 1
0.4%
44 1
0.4%
37 2
0.8%
35 1
0.4%
34 1
0.4%
33 2
0.8%

비고
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
60 
공동
51 
보호
44 
장애인
26 
시각
19 
Other values (7)
51 

Length

Max length5
Median length2
Mean length2.6095618
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
23.9%
공동 51
20.3%
보호 44
17.5%
장애인 26
10.4%
시각 19
 
7.6%
중증 16
 
6.4%
지적 15
 
6.0%
단기 12
 
4.8%
근로 4
 
1.6%
발달장애인 2
 
0.8%
Other values (2) 2
 
0.8%

Length

2023-12-12T15:15:51.775809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 60
23.9%
공동 51
20.3%
보호 44
17.5%
장애인 26
10.4%
시각 19
 
7.6%
중증 16
 
6.4%
지적 15
 
6.0%
단기 12
 
4.8%
근로 4
 
1.6%
발달장애인 2
 
0.8%
Other values (2) 2
 
0.8%

Interactions

2023-12-12T15:15:47.027480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:46.502576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:46.764412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:47.128251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:46.599300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:46.841038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:47.228387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:46.683521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:46.921526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:15:51.868362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시군명이용인원(입소자 현황)종사자 현황비고
연번1.0000.8860.7170.3810.4840.816
구분0.8861.0000.0000.6830.6561.000
시군명0.7170.0001.0000.4960.3330.343
이용인원(입소자 현황)0.3810.6830.4961.0000.7700.453
종사자 현황0.4840.6560.3330.7701.0000.789
비고0.8161.0000.3430.4530.7891.000
2023-12-12T15:15:51.984394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군명비고
구분1.0000.0000.978
시군명0.0001.0000.127
비고0.9780.1271.000
2023-12-12T15:15:52.079588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번이용인원(입소자 현황)종사자 현황구분시군명비고
연번1.0000.080-0.0430.6650.2870.548
이용인원(입소자 현황)0.0801.0000.8170.4210.2150.424
종사자 현황-0.0430.8171.0000.2270.1250.524
구분0.6650.4210.2271.0000.0000.978
시군명0.2870.2150.1250.0001.0000.127
비고0.5480.4240.5240.9780.1271.000

Missing values

2023-12-12T15:15:47.347568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:15:47.514355image/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.

Sample

연번구분시군명시설명소재지시설장시설설치 신고일이용인원(입소자 현황)종사자 현황비고
01복지관경상남도경상남도장애인종합복지관경상남도 창원시 의창구 봉곡로97번길 85임효진1992-07-3035029<NA>
12복지관창원시창원시장애인종합복지관경상남도 창원시 의창구 봉곡로97번길 87정영숙2001-12-2145022<NA>
23복지관창원시마산장애인복지관경상남도 창원시 마산합포구 반월서7길 59최태식2003-05-2840021<NA>
34복지관창원시진해장애인복지관경상남도 창원시 진해구 진해대로 1101최 훈2004-07-0140021<NA>
45복지관진주시진주시장애인종합복지관경상남도 진주시 동진로 273하영준2003-11-2725025<NA>
56복지관통영시통영시장애인종합복지관경상남도 통영시 용남면 기호바깥길 7-89정병두2014-12-0525022<NA>
67복지관사천시사천시장애인종합복지관경상남도 사천시 용현면 진삼로 447정대기2007-03-2730024<NA>
78복지관김해시김해시장애인종합복지관경상남도 김해시 삼계로 140심우영2005-12-0639625<NA>
89복지관거제시거제시장애인종합복지관경상남도 거제시 양정1길 45이상영2009-12-2620020<NA>
910복지관양산시양산시장애인복지관경상남도 양산시 북안남5길 15이명진2015-03-1156433<NA>
연번구분시군명시설명소재지시설장시설설치 신고일이용인원(입소자 현황)종사자 현황비고
241242장애인직업재활시설양산시희망나라경상남도 양산시 매곡4길 8김정숙2011-02-08215보호
242243장애인직업재활시설함안군위드에이블경상남도 함안군 칠원읍 유장길 433황미화2014-08-06164보호
243244장애인직업재활시설의령군이든애경상남도 의령군 칠곡면 산남길66정상용2015-01-0863보호
244245장애인직업재활시설창녕군창녕군장애인근로사업장경상남도 창녕군 창녕읍 탐하로 244김성도2010-08-26227근로
245246장애인직업재활시설고성군영보직업재활센터경상남도 고성군 마암면 신리2길 224김창수2000-07-01194보호
246247장애인직업재활시설남해군가온누리경상남도 남해군 이동면 남해대로 2364-11송대성2009-09-25305다수
247248장애인직업재활시설산청군장애인직업재활 시설이레I&B경상남도 산청군 산청읍 동의보감로312번길 176-57박상범2006-02-08163보호
248249장애인직업재활시설함양군함양군보호작업장경상남도 함양군 안의면 두항길 59-39김승희2015-04-24153보호
249250장애인직업재활시설거창군거창군장애인근로사업장경상남도 거창군 남상면 일반산업길 160김춘수2013-07-3183근로
250251장애인생산품판매시설창원시나누미경상남도 창원시 마산회원구 내서읍 함마대로 2568박명덕2008-11-14<NA>7<NA>