Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells8
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory79.3 B

Variable types

Categorical2
Text4
Numeric3

Dataset

Description강원특별자치도 원주시에 있는 장애인복지시설에 대한 정보로 시설유형, 시설명, 소재지, 입소현황 및 종사자 등 다양한 정보를 제공합니다.
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/3068600/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
입소현황(정원) is highly overall correlated with 입소현황(현원) and 2 other fieldsHigh correlation
입소현황(현원) is highly overall correlated with 입소현황(정원) and 2 other fieldsHigh correlation
종사자 is highly overall correlated with 입소현황(정원) and 1 other fieldsHigh correlation
시설유형 is highly overall correlated with 입소현황(정원) and 1 other fieldsHigh correlation
입소현황(정원) has 4 (12.9%) missing valuesMissing
입소현황(현원) has 4 (12.9%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:45:46.377665
Analysis finished2024-04-21 02:45:49.266281
Duration2.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설유형
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
직업재활시설
8 
공동생활가정
7 
생활시설
6 
주간보호소
4 
복지관
2 
Other values (3)
4 

Length

Max length11
Median length6
Mean length5.3225806
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
직업재활시설 8
25.8%
공동생활가정 7
22.6%
생활시설 6
19.4%
주간보호소 4
12.9%
복지관 2
 
6.5%
단기보호 2
 
6.5%
장애인생활이동지원센터 1
 
3.2%
수어통역센터 1
 
3.2%

Length

2024-04-21T11:45:49.335559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:45:49.449071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직업재활시설 8
25.8%
공동생활가정 7
22.6%
생활시설 6
19.4%
주간보호소 4
12.9%
복지관 2
 
6.5%
단기보호 2
 
6.5%
장애인생활이동지원센터 1
 
3.2%
수어통역센터 1
 
3.2%

시설명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T11:45:49.641613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.3225806
Min length3

Characters and Unicode

Total characters227
Distinct characters86
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

Unique31 ?
Unique (%)100.0%

Sample

1st row천사들의집
2nd row두울천사들의집
3rd row장주기요셉의집
4th row애네아의집
5th row한울타리
ValueCountFrequency (%)
천사들의집 1
 
3.1%
두울천사들의집 1
 
3.1%
원주장애인생활이동지원센터 1
 
3.1%
블레싱홈 1
 
3.1%
게일홈 1
 
3.1%
작은집 1
 
3.1%
민들레집 1
 
3.1%
예샘의집 1
 
3.1%
마가렛홈 1
 
3.1%
분도의집 1
 
3.1%
Other values (22) 22
68.8%
2024-04-21T11:45:49.943288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 15
 
6.6%
보 12
 
5.3%
호 11
 
4.8%
애 9
 
4.0%
인 8
 
3.5%
집 8
 
3.5%
주 8
 
3.5%
사 7
 
3.1%
작 7
 
3.1%
업 7
 
3.1%
Other values (76) 135
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 15
 
6.6%
보 12
 
5.3%
호 11
 
4.9%
애 9
 
4.0%
인 8
 
3.5%
집 8
 
3.5%
주 8
 
3.5%
사 7
 
3.1%
작 7
 
3.1%
업 7
 
3.1%
Other values (75) 134
59.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 15
 
6.6%
보 12
 
5.3%
호 11
 
4.9%
애 9
 
4.0%
인 8
 
3.5%
집 8
 
3.5%
주 8
 
3.5%
사 7
 
3.1%
작 7
 
3.1%
업 7
 
3.1%
Other values (75) 134
59.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 15
 
6.6%
보 12
 
5.3%
호 11
 
4.9%
애 9
 
4.0%
인 8
 
3.5%
집 8
 
3.5%
주 8
 
3.5%
사 7
 
3.1%
작 7
 
3.1%
업 7
 
3.1%
Other values (75) 134
59.3%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

Distinct26
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T11:45:50.161521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length27.935484
Min length21

Characters and Unicode

Total characters866
Distinct characters93
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

Unique22 ?
Unique (%)71.0%

Sample

1st row강원특별자치도 원주시 개륜1길 63 (봉산동)
2nd row강원특별자치도 원주시 개륜1길 63 (봉산동)
3rd row강원특별자치도 원주시 호저면 광학로 89
4th row강원특별자치도 원주시 덕성길 22 (행구동)
5th row강원특별자치도 원주시 지정면 지정로 793
ValueCountFrequency (%)
강원특별자치도 31
19.3%
원주시 30
18.6%
봉산동 6
 
3.7%
개륜1길 5
 
3.1%
호저면 4
 
2.5%
63 3
 
1.9%
단구동 3
 
1.9%
태장동 3
 
1.9%
지니기길 3
 
1.9%
무실동 3
 
1.9%
Other values (59) 70
43.5%
2024-04-21T11:45:50.490245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
15.0%
원 63
 
7.3%
1 34
 
3.9%
치 32
 
3.7%
강 31
 
3.6%
특 31
 
3.6%
별 31
 
3.6%
자 31
 
3.6%
도 31
 
3.6%
주 30
 
3.5%
Other values (83) 422
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
62.1%
Space Separator 130
 
15.0%
Decimal Number 128
 
14.8%
Open Punctuation 23
 
2.7%
Close Punctuation 23
 
2.7%
Dash Punctuation 13
 
1.5%
Other Punctuation 11
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 63
 
11.7%
치 32
 
5.9%
강 31
 
5.8%
특 31
 
5.8%
별 31
 
5.8%
자 31
 
5.8%
도 31
 
5.8%
주 30
 
5.6%
시 30
 
5.6%
동 29
 
5.4%
Other values (68) 199
37.0%
Decimal Number
ValueCountFrequency (%)
1 34
26.6%
0 17
13.3%
3 16
12.5%
2 16
12.5%
8 10
 
7.8%
5 9
 
7.0%
9 7
 
5.5%
6 7
 
5.5%
4 7
 
5.5%
7 5
 
3.9%
Space Separator
ValueCountFrequency (%)
130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
62.1%
Common 328
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 63
 
11.7%
치 32
 
5.9%
강 31
 
5.8%
특 31
 
5.8%
별 31
 
5.8%
자 31
 
5.8%
도 31
 
5.8%
주 30
 
5.6%
시 30
 
5.6%
동 29
 
5.4%
Other values (68) 199
37.0%
Common
ValueCountFrequency (%)
130
39.6%
1 34
 
10.4%
( 23
 
7.0%
) 23
 
7.0%
0 17
 
5.2%
3 16
 
4.9%
2 16
 
4.9%
- 13
 
4.0%
, 11
 
3.4%
8 10
 
3.0%
Other values (5) 35
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
62.1%
ASCII 328
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
39.6%
1 34
 
10.4%
( 23
 
7.0%
) 23
 
7.0%
0 17
 
5.2%
3 16
 
4.9%
2 16
 
4.9%
- 13
 
4.0%
, 11
 
3.4%
8 10
 
3.0%
Other values (5) 35
 
10.7%
Hangul
ValueCountFrequency (%)
원 63
 
11.7%
치 32
 
5.9%
강 31
 
5.8%
특 31
 
5.8%
별 31
 
5.8%
자 31
 
5.8%
도 31
 
5.8%
주 30
 
5.6%
시 30
 
5.6%
동 29
 
5.4%
Other values (68) 199
37.0%

입소현황(정원)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)40.7%
Missing4
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean22.740741
Minimum4
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-21T11:45:50.592200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q17
median20
Q330
95-th percentile47.6
Maximum80
Range76
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.52149
Coefficient of variation (CV)0.81446291
Kurtosis1.8832041
Mean22.740741
Median Absolute Deviation (MAD)10
Skewness1.1907089
Sum614
Variance343.04558
MonotonicityNot monotonic
2024-04-21T11:45:50.697158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 7
22.6%
30 5
16.1%
42 3
9.7%
10 3
9.7%
15 2
 
6.5%
20 2
 
6.5%
40 1
 
3.2%
80 1
 
3.2%
50 1
 
3.2%
28 1
 
3.2%
(Missing) 4
12.9%
ValueCountFrequency (%)
4 7
22.6%
10 3
9.7%
12 1
 
3.2%
15 2
 
6.5%
20 2
 
6.5%
28 1
 
3.2%
30 5
16.1%
40 1
 
3.2%
42 3
9.7%
50 1
 
3.2%
ValueCountFrequency (%)
80 1
 
3.2%
50 1
 
3.2%
42 3
9.7%
40 1
 
3.2%
30 5
16.1%
28 1
 
3.2%
20 2
 
6.5%
15 2
 
6.5%
12 1
 
3.2%
10 3
9.7%

입소현황(현원)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)55.6%
Missing4
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean19.185185
Minimum4
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-21T11:45:50.812489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16
median15
Q329.5
95-th percentile41.3
Maximum50
Range46
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation13.739435
Coefficient of variation (CV)0.71614817
Kurtosis-0.79607328
Mean19.185185
Median Absolute Deviation (MAD)11
Skewness0.51807522
Sum518
Variance188.77208
MonotonicityNot monotonic
2024-04-21T11:45:50.905343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 7
22.6%
29 4
12.9%
30 2
 
6.5%
10 2
 
6.5%
15 2
 
6.5%
34 1
 
3.2%
50 1
 
3.2%
44 1
 
3.2%
35 1
 
3.2%
33 1
 
3.2%
Other values (5) 5
16.1%
(Missing) 4
12.9%
ValueCountFrequency (%)
4 7
22.6%
8 1
 
3.2%
10 2
 
6.5%
12 1
 
3.2%
13 1
 
3.2%
14 1
 
3.2%
15 2
 
6.5%
21 1
 
3.2%
29 4
12.9%
30 2
 
6.5%
ValueCountFrequency (%)
50 1
 
3.2%
44 1
 
3.2%
35 1
 
3.2%
34 1
 
3.2%
33 1
 
3.2%
30 2
6.5%
29 4
12.9%
21 1
 
3.2%
15 2
6.5%
14 1
 
3.2%

종사자
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.096774
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-21T11:45:51.006342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q318.5
95-th percentile34.5
Maximum45
Range44
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation12.375661
Coefficient of variation (CV)1.0230547
Kurtosis0.3425648
Mean12.096774
Median Absolute Deviation (MAD)5
Skewness1.2247434
Sum375
Variance153.15699
MonotonicityNot monotonic
2024-04-21T11:45:51.096013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 7
22.6%
8 5
16.1%
6 4
12.9%
29 2
 
6.5%
27 2
 
6.5%
7 2
 
6.5%
33 1
 
3.2%
45 1
 
3.2%
36 1
 
3.2%
26 1
 
3.2%
Other values (5) 5
16.1%
ValueCountFrequency (%)
1 7
22.6%
3 1
 
3.2%
5 1
 
3.2%
6 4
12.9%
7 2
 
6.5%
8 5
16.1%
9 1
 
3.2%
10 1
 
3.2%
11 1
 
3.2%
26 1
 
3.2%
ValueCountFrequency (%)
45 1
 
3.2%
36 1
 
3.2%
33 1
 
3.2%
29 2
 
6.5%
27 2
 
6.5%
26 1
 
3.2%
11 1
 
3.2%
10 1
 
3.2%
9 1
 
3.2%
8 5
16.1%

전화번호
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T11:45:51.260966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique29 ?
Unique (%)93.5%

Sample

1st row033-731-1004
2nd row033-734-1004
3rd row033-731-7857
4th row033-747-8150
5th row033-732-6510
ValueCountFrequency (%)
033-766-1722 2
 
6.5%
033-731-1004 1
 
3.2%
033-734-1004 1
 
3.2%
033-762-2771 1
 
3.2%
033-732-7671 1
 
3.2%
033-743-9891 1
 
3.2%
033-747-0908 1
 
3.2%
033-748-5985 1
 
3.2%
033-748-1008 1
 
3.2%
033-747-1709 1
 
3.2%
Other values (20) 20
64.5%
2024-04-21T11:45:51.552641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 85
22.8%
- 62
16.7%
0 49
13.2%
7 49
13.2%
1 27
 
7.3%
6 24
 
6.5%
8 17
 
4.6%
4 16
 
4.3%
5 16
 
4.3%
9 15
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 85
27.4%
0 49
15.8%
7 49
15.8%
1 27
 
8.7%
6 24
 
7.7%
8 17
 
5.5%
4 16
 
5.2%
5 16
 
5.2%
9 15
 
4.8%
2 12
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 85
22.8%
- 62
16.7%
0 49
13.2%
7 49
13.2%
1 27
 
7.3%
6 24
 
6.5%
8 17
 
4.6%
4 16
 
4.3%
5 16
 
4.3%
9 15
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 85
22.8%
- 62
16.7%
0 49
13.2%
7 49
13.2%
1 27
 
7.3%
6 24
 
6.5%
8 17
 
4.6%
4 16
 
4.3%
5 16
 
4.3%
9 15
 
4.0%

팩스
Text

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-21T11:45:51.728924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.032258
Min length12

Characters and Unicode

Total characters373
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

Unique23 ?
Unique (%)74.2%

Sample

1st row033-731-0041
2nd row033-731-1005
3rd row033-731-7859
4th row033-734-8150
5th row033-732-6512
ValueCountFrequency (%)
033-766-5994 2
 
6.5%
033-766-1788 2
 
6.5%
033-747-0116 2
 
6.5%
033-742-6689 2
 
6.5%
033-733-5956 1
 
3.2%
033-731-0041 1
 
3.2%
033-766-5771 1
 
3.2%
033-732-7671 1
 
3.2%
033-748-1007 1
 
3.2%
033-742-8605 1
 
3.2%
Other values (17) 17
54.8%
2024-04-21T11:45:52.016437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 81
21.7%
- 62
16.6%
0 50
13.4%
7 45
12.1%
6 29
 
7.8%
1 29
 
7.8%
4 20
 
5.4%
8 19
 
5.1%
5 16
 
4.3%
9 13
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 311
83.4%
Dash Punctuation 62
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 81
26.0%
0 50
16.1%
7 45
14.5%
6 29
 
9.3%
1 29
 
9.3%
4 20
 
6.4%
8 19
 
6.1%
5 16
 
5.1%
9 13
 
4.2%
2 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 373
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 81
21.7%
- 62
16.6%
0 50
13.4%
7 45
12.1%
6 29
 
7.8%
1 29
 
7.8%
4 20
 
5.4%
8 19
 
5.1%
5 16
 
4.3%
9 13
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 81
21.7%
- 62
16.6%
0 50
13.4%
7 45
12.1%
6 29
 
7.8%
1 29
 
7.8%
4 20
 
5.4%
8 19
 
5.1%
5 16
 
4.3%
9 13
 
3.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-31
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-31
2nd row2024-03-31
3rd row2024-03-31
4th row2024-03-31
5th row2024-03-31

Common Values

ValueCountFrequency (%)
2024-03-31 31
100.0%

Length

2024-04-21T11:45:52.135705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:45:52.220556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-31 31
100.0%

Interactions

2024-04-21T11:45:48.725151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.209144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.510829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.825763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.355943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.584296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.898284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.437168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:45:48.656918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:45:52.283153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설명소재지입소현황(정원)입소현황(현원)종사자전화번호팩스
시설유형1.0001.0000.6970.7080.7710.7170.7500.866
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지0.6971.0001.0000.0000.0000.0001.0000.975
입소현황(정원)0.7081.0000.0001.0000.9350.8870.8480.955
입소현황(현원)0.7711.0000.0000.9351.0000.7580.9400.994
종사자0.7171.0000.0000.8870.7581.0001.0000.979
전화번호0.7501.0001.0000.8480.9401.0001.0001.000
팩스0.8661.0000.9750.9550.9940.9791.0001.000
2024-04-21T11:45:52.389037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소현황(정원)입소현황(현원)종사자시설유형
입소현황(정원)1.0000.9840.8340.525
입소현황(현원)0.9841.0000.8760.567
종사자0.8340.8761.0000.473
시설유형0.5250.5670.4731.000

Missing values

2024-04-21T11:45:49.003315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:45:49.129868image/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.
2024-04-21T11:45:49.223983image/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

시설유형시설명소재지입소현황(정원)입소현황(현원)종사자전화번호팩스데이터기준일자
0생활시설천사들의집강원특별자치도 원주시 개륜1길 63 (봉산동)403433033-731-1004033-731-00412024-03-31
1생활시설두울천사들의집강원특별자치도 원주시 개륜1길 63 (봉산동)805045033-734-1004033-731-10052024-03-31
2생활시설장주기요셉의집강원특별자치도 원주시 호저면 광학로 89504436033-731-7857033-731-78592024-03-31
3생활시설애네아의집강원특별자치도 원주시 덕성길 22 (행구동)302926033-747-8150033-734-81502024-03-31
4생활시설한울타리강원특별자치도 원주시 지정면 지정로 793423529033-732-6510033-732-65122024-03-31
5생활시설갈거리사랑촌강원특별자치도 원주시 흥업면 대안로 738303029033-763-1370033-763-05182024-03-31
6직업재활시설원주시장애인보호작업장강원특별자치도 원주시 호저면 광학로 89423311033-731-7863033-731-78602024-03-31
7직업재활시설천사장애인보호작업장강원특별자치도 원주시 개륜1길 61 (봉산동)42296033-734-8888070-8255-06132024-03-31
8직업재활시설행복공감장애인보호작업장강원특별자치도 원주시 지니기길 11-24 (무실동)303010033-766-5997033-766-59982024-03-31
9직업재활시설마가렛보호작업장강원특별자치도 원주시 반곡길 155 (반곡동)30298033-745-5552033-746-66872024-03-31
시설유형시설명소재지입소현황(정원)입소현황(현원)종사자전화번호팩스데이터기준일자
21주간보호소꿈꾸는나무주간보호센터강원특별자치도 원주시 지니기길 11-22 (무실동)20158033-766-1722033-766-17882024-03-31
22공동생활가정분도의집강원특별자치도 원주시 행구로 102, 104-102 (봉산동, 동신아파트)441033-742-8606033-742-86052024-03-31
23공동생활가정마가렛홈강원특별자치도 원주시 천사로 130, 101-105 (일산동, 신진빌라)441033-747-1709033-742-66892024-03-31
24공동생활가정예샘의집강원특별자치도 원주시 행구로 102, 104-101 (봉산동, 동신아파트)441033-748-1008033-748-10072024-03-31
25공동생활가정민들레집강원특별자치도 원주시 현충로58번길 21, 102-1002(태장동 흥화브라운빌)441033-748-5985033-747-01162024-03-31
26공동생활가정작은집강원특별자치도 원주시 새동네4길 30 (태장동)441033-747-0908033-747-01162024-03-31
27공동생활가정게일홈강원특별자치도 원주시 남산로103, 3-207 (일산동, 삼성우보아파트)441033-743-9891033-742-66892024-03-31
28공동생활가정블레싱홈강원특별자치도 원주시 소초면 둔둔로 94441033-732-7671033-732-76712024-03-31
29장애인생활이동지원센터원주장애인생활이동지원센터강원특별자치도 원주시 갈머리2길 31, 103호(학성동)<NA><NA>6033-762-2771033-766-57712024-03-31
30수어통역센터원주시수어통역센터강원특별자치도 원주시 원일로 38, 3층(인동)<NA><NA>6033-743-3913033-745-39132024-03-31