Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory88.0 B

Variable types

Categorical2
Text5
DateTime1
Numeric2

Dataset

Description안양시 관내 장애인복지시설 (시설명, 소재지, 운영법인 및 대표자, 설립연월일, 이용인원, 종사자, 전화번호 등 )현황 데이터 정보입니다.
Author경기도 안양시
URLhttps://www.data.go.kr/data/3079489/fileData.do

Alerts

데이터기준일 has constant value ""Constant
이용인원(명-일) is highly overall correlated with 종사자(명)High correlation
종사자(명) is highly overall correlated with 이용인원(명-일)High correlation
시 설 명 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:10:34.507593
Analysis finished2023-12-23 07:10:40.707058
Duration6.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
지역사회재활시설
12 
직업재활시설
거주시설

Length

Max length8
Median length8
Mean length6.6363636
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역사회재활시설 12
54.5%
직업재활시설 5
22.7%
거주시설 5
22.7%

Length

2023-12-23T07:10:41.336584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:10:42.426055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역사회재활시설 12
54.5%
직업재활시설 5
22.7%
거주시설 5
22.7%

시 설 명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-23T07:10:43.470203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length11.954545
Min length6

Characters and Unicode

Total characters263
Distinct characters76
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

Unique22 ?
Unique (%)100.0%

Sample

1st row안양시관악장애인종합복지관
2nd row안양시수리장애인종합복지관
3rd row관악장애인주간보호센터
4th row수리장애인주간보호센터
5th row다누리장애인주간보호센터
ValueCountFrequency (%)
안양시관악장애인종합복지관 1
 
4.5%
안양시수리장애인종합복지관 1
 
4.5%
기쁨이샘솟는집(공동생활가정 1
 
4.5%
관악장애인공동생활가정 1
 
4.5%
사랑의집(이용시설 1
 
4.5%
수리장애인단기보호센터 1
 
4.5%
행복일자리장애인보호작업장 1
 
4.5%
희망터장애인직업적응훈련센터 1
 
4.5%
안양시장애인재활자립작업장 1
 
4.5%
안양시장애인보호작업장 1
 
4.5%
Other values (12) 12
54.5%
2023-12-23T07:10:45.795048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
8.4%
18
 
6.8%
18
 
6.8%
13
 
4.9%
12
 
4.6%
12
 
4.6%
12
 
4.6%
8
 
3.0%
8
 
3.0%
7
 
2.7%
Other values (66) 133
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
97.7%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
8.6%
18
 
7.0%
18
 
7.0%
13
 
5.1%
12
 
4.7%
12
 
4.7%
12
 
4.7%
8
 
3.1%
8
 
3.1%
7
 
2.7%
Other values (64) 127
49.4%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
97.7%
Common 6
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
8.6%
18
 
7.0%
18
 
7.0%
13
 
5.1%
12
 
4.7%
12
 
4.7%
12
 
4.7%
8
 
3.1%
8
 
3.1%
7
 
2.7%
Other values (64) 127
49.4%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
97.7%
ASCII 6
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
 
8.6%
18
 
7.0%
18
 
7.0%
13
 
5.1%
12
 
4.7%
12
 
4.7%
12
 
4.7%
8
 
3.1%
8
 
3.1%
7
 
2.7%
Other values (64) 127
49.4%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%
Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-23T07:10:47.176131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41.5
Mean length32.727273
Min length23

Characters and Unicode

Total characters720
Distinct characters71
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

Unique17 ?
Unique (%)77.3%

Sample

1st row경기도 안양시 만안구 경수대로 1132(안양동)
2nd row경기도 안양시 만안구 냉천로 39(안양동)
3rd row경기도 안양시 만안구 경수대로 1132(안양동)
4th row경기도 안양시 만안구 냉천로 39(안양동)
5th row경기도 안양시 만안구 511, 6층(석수동)
ValueCountFrequency (%)
경기도 24
17.0%
안양시 24
17.0%
만안구 21
 
14.9%
냉천로 5
 
3.5%
동안구 3
 
2.1%
39(안양동 3
 
2.1%
2
 
1.4%
45 2
 
1.4%
엘에스로 2
 
1.4%
덕천로 2
 
1.4%
Other values (50) 53
37.6%
2023-12-23T07:10:48.808911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
17.1%
64
 
8.9%
41
 
5.7%
26
 
3.6%
26
 
3.6%
25
 
3.5%
24
 
3.3%
24
 
3.3%
24
 
3.3%
1 24
 
3.3%
Other values (61) 319
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
56.2%
Decimal Number 124
 
17.2%
Space Separator 123
 
17.1%
Open Punctuation 21
 
2.9%
Close Punctuation 21
 
2.9%
Other Punctuation 18
 
2.5%
Other Number 4
 
0.6%
Dash Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
15.8%
41
 
10.1%
26
 
6.4%
26
 
6.4%
25
 
6.2%
24
 
5.9%
24
 
5.9%
24
 
5.9%
23
 
5.7%
21
 
5.2%
Other values (43) 107
26.4%
Decimal Number
ValueCountFrequency (%)
1 24
19.4%
3 22
17.7%
4 19
15.3%
0 16
12.9%
5 11
8.9%
9 10
8.1%
2 9
 
7.3%
8 7
 
5.6%
6 3
 
2.4%
7 3
 
2.4%
Other Number
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
56.2%
Common 313
43.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
15.8%
41
 
10.1%
26
 
6.4%
26
 
6.4%
25
 
6.2%
24
 
5.9%
24
 
5.9%
24
 
5.9%
23
 
5.7%
21
 
5.2%
Other values (43) 107
26.4%
Common
ValueCountFrequency (%)
123
39.3%
1 24
 
7.7%
3 22
 
7.0%
( 21
 
6.7%
) 21
 
6.7%
4 19
 
6.1%
, 18
 
5.8%
0 16
 
5.1%
5 11
 
3.5%
9 10
 
3.2%
Other values (7) 28
 
8.9%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
56.2%
ASCII 311
43.2%
Enclosed Alphanum 4
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
39.5%
1 24
 
7.7%
3 22
 
7.1%
( 21
 
6.8%
) 21
 
6.8%
4 19
 
6.1%
, 18
 
5.8%
0 16
 
5.1%
5 11
 
3.5%
9 10
 
3.2%
Other values (6) 26
 
8.4%
Hangul
ValueCountFrequency (%)
64
15.8%
41
 
10.1%
26
 
6.4%
26
 
6.4%
25
 
6.2%
24
 
5.9%
24
 
5.9%
24
 
5.9%
23
 
5.7%
21
 
5.2%
Other values (43) 107
26.4%
Enclosed Alphanum
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-23T07:10:49.401983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length16.772727
Min length10

Characters and Unicode

Total characters369
Distinct characters106
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

Unique12 ?
Unique (%)54.5%

Sample

1st row사단법인 성민원 권태진
2nd row사회복지법인 돕는사람들 박중식
3rd row사단법인 성민원 권태진
4th row사회복지법인 돕는사람들 박중식
5th row다누리장애통합사회적협동조합 백승미
ValueCountFrequency (%)
사회복지법인 7
 
11.9%
사단법인 7
 
11.9%
박중식 5
 
8.5%
돕는사람들 5
 
8.5%
성민원 3
 
5.1%
권태진 3
 
5.1%
희망터장애인사회적협동조합 2
 
3.4%
김유미 2
 
3.4%
김규로 1
 
1.7%
이용훈 1
 
1.7%
Other values (23) 23
39.0%
2023-12-23T07:10:50.849650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
10.0%
28
 
7.6%
20
 
5.4%
19
 
5.1%
14
 
3.8%
11
 
3.0%
10
 
2.7%
8
 
2.2%
8
 
2.2%
8
 
2.2%
Other values (96) 206
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
88.9%
Space Separator 37
 
10.0%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
8.5%
20
 
6.1%
19
 
5.8%
14
 
4.3%
11
 
3.4%
10
 
3.0%
8
 
2.4%
8
 
2.4%
8
 
2.4%
8
 
2.4%
Other values (93) 194
59.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
88.9%
Common 41
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
8.5%
20
 
6.1%
19
 
5.8%
14
 
4.3%
11
 
3.4%
10
 
3.0%
8
 
2.4%
8
 
2.4%
8
 
2.4%
8
 
2.4%
Other values (93) 194
59.1%
Common
ValueCountFrequency (%)
37
90.2%
) 2
 
4.9%
( 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
88.9%
ASCII 41
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
90.2%
) 2
 
4.9%
( 2
 
4.9%
Hangul
ValueCountFrequency (%)
28
 
8.5%
20
 
6.1%
19
 
5.8%
14
 
4.3%
11
 
3.4%
10
 
3.0%
8
 
2.4%
8
 
2.4%
8
 
2.4%
8
 
2.4%
Other values (93) 194
59.1%
Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1995-05-26 00:00:00
Maximum2022-02-21 00:00:00
2023-12-23T07:10:51.328335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:10:51.867019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

이용인원(명-일)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75
Minimum2
Maximum831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-23T07:10:52.483107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q110
median19
Q329
95-th percentile407.5
Maximum831
Range829
Interquartile range (IQR)19

Descriptive statistics

Standard deviation190.36681
Coefficient of variation (CV)2.5382242
Kurtosis13.027177
Mean75
Median Absolute Deviation (MAD)10
Skewness3.5745167
Sum1650
Variance36239.524
MonotonicityNot monotonic
2023-12-23T07:10:52.901680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 2
 
9.1%
4 2
 
9.1%
10 2
 
9.1%
20 2
 
9.1%
19 2
 
9.1%
12 2
 
9.1%
40 1
 
4.5%
30 1
 
4.5%
75 1
 
4.5%
45 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
2 1
4.5%
4 2
9.1%
6 2
9.1%
10 2
9.1%
11 1
4.5%
12 2
9.1%
19 2
9.1%
20 2
9.1%
23 1
4.5%
26 1
4.5%
ValueCountFrequency (%)
831 1
4.5%
425 1
4.5%
75 1
4.5%
45 1
4.5%
40 1
4.5%
30 1
4.5%
26 1
4.5%
23 1
4.5%
20 2
9.1%
19 2
9.1%

종사자(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.863636
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-23T07:10:53.454720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.05
Q13
median5
Q310.5
95-th percentile48.85
Maximum74
Range73
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation17.766462
Coefficient of variation (CV)1.4975562
Kurtosis7.4398907
Mean11.863636
Median Absolute Deviation (MAD)3
Skewness2.7094269
Sum261
Variance315.64719
MonotonicityNot monotonic
2023-12-23T07:10:54.011757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 3
13.6%
3 3
13.6%
9 2
9.1%
6 2
9.1%
5 2
9.1%
2 2
9.1%
1 2
9.1%
50 1
 
4.5%
74 1
 
4.5%
11 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
1 2
9.1%
2 2
9.1%
3 3
13.6%
4 3
13.6%
5 2
9.1%
6 2
9.1%
9 2
9.1%
11 1
 
4.5%
13 1
 
4.5%
19 1
 
4.5%
ValueCountFrequency (%)
74 1
 
4.5%
50 1
 
4.5%
27 1
 
4.5%
19 1
 
4.5%
13 1
 
4.5%
11 1
 
4.5%
9 2
9.1%
6 2
9.1%
5 2
9.1%
4 3
13.6%
Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-23T07:10:54.610894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters266
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

Unique20 ?
Unique (%)90.9%

Sample

1st row031-472-7774
2nd row031-465-0950
3rd row031-473-7776
4th row031-465-1465
5th row031-464-4100
ValueCountFrequency (%)
031-472-7774 2
 
9.1%
031-466-1123 1
 
4.5%
031-466-5345 1
 
4.5%
031-448-8595 1
 
4.5%
031-465-0958 1
 
4.5%
031-360-1223 1
 
4.5%
031-429-5904 1
 
4.5%
031-468-8788 1
 
4.5%
031-443-2789 1
 
4.5%
031-465-0956 1
 
4.5%
Other values (11) 11
50.0%
2023-12-23T07:10:55.725519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.5%
0 38
14.3%
4 32
12.0%
3 28
10.5%
1 28
10.5%
7 24
9.0%
6 18
6.8%
5 17
 
6.4%
9 16
 
6.0%
8 13
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
17.1%
4 32
14.4%
3 28
12.6%
1 28
12.6%
7 24
10.8%
6 18
8.1%
5 17
7.7%
9 16
7.2%
8 13
 
5.9%
2 8
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.5%
0 38
14.3%
4 32
12.0%
3 28
10.5%
1 28
10.5%
7 24
9.0%
6 18
6.8%
5 17
 
6.4%
9 16
 
6.0%
8 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.5%
0 38
14.3%
4 32
12.0%
3 28
10.5%
1 28
10.5%
7 24
9.0%
6 18
6.8%
5 17
 
6.4%
9 16
 
6.0%
8 13
 
4.9%
Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-23T07:10:56.572885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Characters and Unicode

Total characters65
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)72.7%

Sample

1st row박용구
2nd row이형진
3rd row박용구
4th row이형진
5th row경은주
ValueCountFrequency (%)
박용구 3
 
13.6%
이형진 3
 
13.6%
이지수 1
 
4.5%
고정학 1
 
4.5%
최용화 1
 
4.5%
장성락 1
 
4.5%
강명선 1
 
4.5%
이중교 1
 
4.5%
김기용 1
 
4.5%
현영옥 1
 
4.5%
Other values (8) 8
36.4%
2023-12-23T07:10:58.364146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
7.7%
5
 
7.7%
4
 
6.2%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
Other values (31) 32
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
7.7%
5
 
7.7%
4
 
6.2%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
Other values (31) 32
49.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
7.7%
5
 
7.7%
4
 
6.2%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
Other values (31) 32
49.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
 
7.7%
5
 
7.7%
4
 
6.2%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
Other values (31) 32
49.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-18
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-18
2nd row2023-12-18
3rd row2023-12-18
4th row2023-12-18
5th row2023-12-18

Common Values

ValueCountFrequency (%)
2023-12-18 22
100.0%

Length

2023-12-23T07:10:59.745884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:11:00.753295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-18 22
100.0%

Interactions

2023-12-23T07:10:37.851432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:10:36.790911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:10:38.420278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:10:37.353787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:11:01.296089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시 설 명소재지운영법인 및 대표자설립 연월일이용인원(명-일)종사자(명)전화번호시설장
구분1.0001.0000.8490.0000.0000.0000.0000.7370.679
시 설 명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.8491.0001.0001.0000.9960.0000.0000.9661.000
운영법인 및 대표자0.0001.0001.0001.0001.0000.0000.0001.0001.000
설립 연월일0.0001.0000.9961.0001.0000.0000.0000.9380.979
이용인원(명-일)0.0001.0000.0000.0000.0001.0001.0000.0000.000
종사자(명)0.0001.0000.0000.0000.0001.0001.0000.0000.000
전화번호0.7371.0000.9661.0000.9380.0000.0001.0001.000
시설장0.6791.0001.0001.0000.9790.0000.0001.0001.000
2023-12-23T07:11:02.215507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용인원(명-일)종사자(명)구분
이용인원(명-일)1.0000.9190.000
종사자(명)0.9191.0000.000
구분0.0000.0001.000

Missing values

2023-12-23T07:10:39.067490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:10:40.322581image/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

구분시 설 명소재지운영법인 및 대표자설립 연월일이용인원(명-일)종사자(명)전화번호시설장데이터기준일
0지역사회재활시설안양시관악장애인종합복지관경기도 안양시 만안구 경수대로 1132(안양동)사단법인 성민원 권태진1995-05-2642550031-472-7774박용구2023-12-18
1지역사회재활시설안양시수리장애인종합복지관경기도 안양시 만안구 냉천로 39(안양동)사회복지법인 돕는사람들 박중식2003-11-0583174031-465-0950이형진2023-12-18
2지역사회재활시설관악장애인주간보호센터경기도 안양시 만안구 경수대로 1132(안양동)사단법인 성민원 권태진1999-02-26269031-473-7776박용구2023-12-18
3지역사회재활시설수리장애인주간보호센터경기도 안양시 만안구 냉천로 39(안양동)사회복지법인 돕는사람들 박중식2003-11-05239031-465-1465이형진2023-12-18
4지역사회재활시설다누리장애인주간보호센터경기도 안양시 만안구 511, 6층(석수동)다누리장애통합사회적협동조합 백승미2016-08-26104031-464-4100경은주2023-12-18
5지역사회재활시설만안장애인주간보호센터경기도 안양시 만안구 박달로547-1, 2층(안양동)사회복지법인 돕는사람들 박중식2017-01-01206070-8978-7731유정환2023-12-18
6지역사회재활시설희망아카데미장애인주간보호센터경기도 안양시 동안구 엘에스로 45, 310호(호계동)희망터장애인사회적협동조합 김유미2017-03-08115031-477-5900정택숙2023-12-18
7지역사회재활시설열손가락장애인주간보호센터경기도 안양시 만안구 창박로 41, 304호,305호(안양동, 포커스프라자)열손가락서로돌봄사회적협동조합 김오례2017-08-18124031-444-1192박민영2023-12-18
8지역사회재활시설행복플러스장애인주간보호센터경기도 안양시 만안구 박달우회로 138번길 18, 1층(박달동)행복플러스사회적협동조합 안양지사 정형민2021-09-0862031-469-9945임미경2023-12-18
9지역사회재활시설두리망장애인주간보호센터경기도 안양시 동안구 엘에스로 45, 206호(호계동)사단법인 난치병아동돕기운동본부2022-02-2123070-7780-3608문경식2023-12-18
구분시 설 명소재지운영법인 및 대표자설립 연월일이용인원(명-일)종사자(명)전화번호시설장데이터기준일
12직업재활시설수리장애인보호작업장① 경기도 안양시 만안구 냉천로 39, 3층(안양동)② 경기도 안양시 만안구 덕천로 45,6층(안양동)사회복지법인 돕는사람들 박중식2003-11-054511031-465-0956김기용2023-12-18
13직업재활시설안양시장애인보호작업장① 경기도 안양시 만안구 장내로 113(안양동)② 경기도 안양시 만안구 덕천로 94-9(안양동)(재)천주교수원교구유지재단 이용훈1995-10-167519031-443-2789이중교2023-12-18
14직업재활시설안양시장애인재활자립작업장경기도 안양시 만안구 시민대로 34, 401호, 402호사단법인 한국지체장애인협회 김광환2020-07-13103031-468-8788강명선2023-12-18
15직업재활시설희망터장애인직업적응훈련센터경기도 안양시 동안구 엘에스로45, 304호희망터장애인사회적협동조합 김유미2019-11-11194031-429-5904장성락2023-12-18
16직업재활시설행복일자리장애인보호작업장경기도 안양시 만안구 전파로 30 유천팩토피아 309호310호317호318호우리들행복일자리사회적협동조합 김규로2021-05-06193031-360-1223최용화2023-12-18
17거주시설수리장애인단기보호센터경기도 안양시 만안구 냉천로 39(안양동)사회복지법인 돕는사람들 박중식2003-11-052013031-465-0958이형진2023-12-18
18거주시설사랑의집(이용시설)경기도 안양시 만안구 양화로105번길 39(박달동)사회복지법인 사랑의집 고정학2003-12-013027031-448-8595고정학2023-12-18
19거주시설관악장애인공동생활가정경기도 안양시 만안구 예술공원로 59, 104동 102호(안양동, 삼성A)사단법인 성민원 권태진2000-10-1641031-472-7774박용구2023-12-18
20거주시설기쁨이샘솟는집(공동생활가정)경기도 안양시 만안구 현충로52번길 7, 301(안양동)사회복지법인 천주교수원교구사회복지회 김창해2008-01-0241031-466-5345이지수2023-12-18
21거주시설희망박달홈(공동생활가정)경기도 안양시 만안구 박달로498번길 28 105동 108호(박달동, 우성A)개인운영시설 윤형영2005-11-2862031-468-7004고봉식2023-12-18