Overview

Dataset statistics

Number of variables9
Number of observations52
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory76.5 B

Variable types

Numeric2
Categorical1
Text5
DateTime1

Dataset

Description대구광역시 장애인 거주시설 현황정보에 대한 데이터로 시설명, 시설장, 소재지, 정원, 전화번호, 운영주체 등에 대한 정보를 제공합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15047920/fileData.do

Alerts

번호 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
정원 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
전화번호 has 1 (1.9%) missing valuesMissing
번호 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:22:11.271288
Analysis finished2024-03-15 01:22:14.799806
Duration3.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size596.0 B
2024-03-15T10:22:15.072046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2024-03-15T10:22:15.604566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size544.0 B
장애인공동생활가정
30 
장애유형별거주시설
10 
중증장애인거주시설
9 
장애인단기거주시설
 
2
장애영유아거주시설
 
1

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
장애인공동생활가정 30
57.7%
장애유형별거주시설 10
 
19.2%
중증장애인거주시설 9
 
17.3%
장애인단기거주시설 2
 
3.8%
장애영유아거주시설 1
 
1.9%

Length

2024-03-15T10:22:16.044104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:22:16.402324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인공동생활가정 30
57.7%
장애유형별거주시설 10
 
19.2%
중증장애인거주시설 9
 
17.3%
장애인단기거주시설 2
 
3.8%
장애영유아거주시설 1
 
1.9%

시설명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T10:22:17.200920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length6.5192308
Min length4

Characters and Unicode

Total characters339
Distinct characters133
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

Unique52 ?
Unique (%)100.0%

Sample

1st row대구안식원
2nd row성보재활원
3rd row청구재활원
4th row일심재활원
5th row자유재활원
ValueCountFrequency (%)
집 4
 
7.0%
대구안식원 1
 
1.8%
공동생활가정 1
 
1.8%
한사랑장애인공동생활가정2호 1
 
1.8%
그레이스홈 1
 
1.8%
해피스테이 1
 
1.8%
기쁨의 1
 
1.8%
꿈여울공동생활가정 1
 
1.8%
나눔공동체 1
 
1.8%
늘푸른집 1
 
1.8%
Other values (44) 44
77.2%
2024-03-15T10:22:18.461389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
활 13
 
3.8%
집 12
 
3.5%
동 11
 
3.2%
공 10
 
2.9%
원 10
 
2.9%
의 10
 
2.9%
애 9
 
2.7%
생 9
 
2.7%
가 9
 
2.7%
정 9
 
2.7%
Other values (123) 237
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
97.6%
Space Separator 6
 
1.8%
Uppercase Letter 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
활 13
 
3.9%
집 12
 
3.6%
동 11
 
3.3%
공 10
 
3.0%
원 10
 
3.0%
의 10
 
3.0%
애 9
 
2.7%
생 9
 
2.7%
가 9
 
2.7%
정 9
 
2.7%
Other values (120) 229
69.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
97.6%
Common 7
 
2.1%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
활 13
 
3.9%
집 12
 
3.6%
동 11
 
3.3%
공 10
 
3.0%
원 10
 
3.0%
의 10
 
3.0%
애 9
 
2.7%
생 9
 
2.7%
가 9
 
2.7%
정 9
 
2.7%
Other values (120) 229
69.2%
Common
ValueCountFrequency (%)
6
85.7%
2 1
 
14.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
97.6%
ASCII 8
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
활 13
 
3.9%
집 12
 
3.6%
동 11
 
3.3%
공 10
 
3.0%
원 10
 
3.0%
의 10
 
3.0%
애 9
 
2.7%
생 9
 
2.7%
가 9
 
2.7%
정 9
 
2.7%
Other values (120) 229
69.2%
ASCII
ValueCountFrequency (%)
6
75.0%
A 1
 
12.5%
2 1
 
12.5%

시설장
Text

Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T10:22:19.275828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9807692
Min length2

Characters and Unicode

Total characters155
Distinct characters68
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

Unique43 ?
Unique (%)82.7%

Sample

1st row김시현
2nd row이금희
3rd row노규현
4th row허진혁
5th row강영신
ValueCountFrequency (%)
박종건 3
 
5.8%
오정한 2
 
3.8%
신경희 2
 
3.8%
이응수 2
 
3.8%
정병주 1
 
1.9%
김미정 1
 
1.9%
김시현 1
 
1.9%
전재수 1
 
1.9%
배병두 1
 
1.9%
성화순 1
 
1.9%
Other values (37) 37
71.2%
2024-03-15T10:22:20.218785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 14
 
9.0%
경 9
 
5.8%
박 8
 
5.2%
영 8
 
5.2%
김 8
 
5.2%
정 7
 
4.5%
종 5
 
3.2%
건 4
 
2.6%
희 4
 
2.6%
미 4
 
2.6%
Other values (58) 84
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 14
 
9.0%
경 9
 
5.8%
박 8
 
5.2%
영 8
 
5.2%
김 8
 
5.2%
정 7
 
4.5%
종 5
 
3.2%
건 4
 
2.6%
희 4
 
2.6%
미 4
 
2.6%
Other values (58) 84
54.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 14
 
9.0%
경 9
 
5.8%
박 8
 
5.2%
영 8
 
5.2%
김 8
 
5.2%
정 7
 
4.5%
종 5
 
3.2%
건 4
 
2.6%
희 4
 
2.6%
미 4
 
2.6%
Other values (58) 84
54.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 14
 
9.0%
경 9
 
5.8%
박 8
 
5.2%
영 8
 
5.2%
김 8
 
5.2%
정 7
 
4.5%
종 5
 
3.2%
건 4
 
2.6%
희 4
 
2.6%
미 4
 
2.6%
Other values (58) 84
54.2%

소재지
Text

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T10:22:21.447322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length20.692308
Min length11

Characters and Unicode

Total characters1076
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)84.6%

Sample

1st row북구 복현로20길52
2nd row북구 동북로71길 9-29
3rd row경북 경산시 와촌면 소월2길 20
4th row동구 반야월북로27길 33
5th row동구 팔공산로 225
ValueCountFrequency (%)
남구 12
 
5.2%
동구 9
 
3.9%
수성구 8
 
3.5%
달성군 5
 
2.2%
달서구 5
 
2.2%
301호 4
 
1.7%
북구 4
 
1.7%
501호 3
 
1.3%
서구 3
 
1.3%
502호 3
 
1.3%
Other values (140) 173
75.5%
2024-03-15T10:22:22.991409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
16.7%
2 61
 
5.7%
1 57
 
5.3%
구 48
 
4.5%
로 47
 
4.4%
길 46
 
4.3%
0 36
 
3.3%
동 35
 
3.3%
5 33
 
3.1%
, 28
 
2.6%
Other values (122) 505
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
49.3%
Decimal Number 285
26.5%
Space Separator 180
 
16.7%
Other Punctuation 29
 
2.7%
Dash Punctuation 18
 
1.7%
Open Punctuation 15
 
1.4%
Close Punctuation 15
 
1.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 48
 
9.0%
로 47
 
8.9%
길 46
 
8.7%
동 35
 
6.6%
호 23
 
4.3%
성 18
 
3.4%
남 17
 
3.2%
달 14
 
2.6%
산 13
 
2.4%
서 11
 
2.1%
Other values (104) 259
48.8%
Decimal Number
ValueCountFrequency (%)
2 61
21.4%
1 57
20.0%
0 36
12.6%
5 33
11.6%
3 26
9.1%
4 20
 
7.0%
7 16
 
5.6%
6 14
 
4.9%
9 11
 
3.9%
8 11
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 28
96.6%
/ 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 542
50.4%
Hangul 531
49.3%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 48
 
9.0%
로 47
 
8.9%
길 46
 
8.7%
동 35
 
6.6%
호 23
 
4.3%
성 18
 
3.4%
남 17
 
3.2%
달 14
 
2.6%
산 13
 
2.4%
서 11
 
2.1%
Other values (104) 259
48.8%
Common
ValueCountFrequency (%)
180
33.2%
2 61
 
11.3%
1 57
 
10.5%
0 36
 
6.6%
5 33
 
6.1%
, 28
 
5.2%
3 26
 
4.8%
4 20
 
3.7%
- 18
 
3.3%
7 16
 
3.0%
Other values (6) 67
 
12.4%
Latin
ValueCountFrequency (%)
A 2
66.7%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 545
50.7%
Hangul 531
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
33.0%
2 61
 
11.2%
1 57
 
10.5%
0 36
 
6.6%
5 33
 
6.1%
, 28
 
5.1%
3 26
 
4.8%
4 20
 
3.7%
- 18
 
3.3%
7 16
 
2.9%
Other values (8) 70
 
12.8%
Hangul
ValueCountFrequency (%)
구 48
 
9.0%
로 47
 
8.9%
길 46
 
8.7%
동 35
 
6.6%
호 23
 
4.3%
성 18
 
3.4%
남 17
 
3.2%
달 14
 
2.6%
산 13
 
2.4%
서 11
 
2.1%
Other values (104) 259
48.8%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.384615
Minimum4
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size596.0 B
2024-03-15T10:22:23.374194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median4.5
Q340
95-th percentile155.4
Maximum195
Range191
Interquartile range (IQR)36

Descriptive statistics

Standard deviation50.939085
Coefficient of variation (CV)1.4814499
Kurtosis2.6015441
Mean34.384615
Median Absolute Deviation (MAD)0.5
Skewness1.8920682
Sum1788
Variance2594.7903
MonotonicityNot monotonic
2024-03-15T10:22:23.849483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 26
50.0%
30 5
 
9.6%
40 4
 
7.7%
105 1
 
1.9%
96 1
 
1.9%
9 1
 
1.9%
20 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
10 1
 
1.9%
Other values (10) 10
 
19.2%
ValueCountFrequency (%)
4 26
50.0%
5 1
 
1.9%
6 1
 
1.9%
9 1
 
1.9%
10 1
 
1.9%
16 1
 
1.9%
20 1
 
1.9%
30 5
 
9.6%
36 1
 
1.9%
40 4
 
7.7%
ValueCountFrequency (%)
195 1
1.9%
179 1
1.9%
162 1
1.9%
150 1
1.9%
135 1
1.9%
118 1
1.9%
105 1
1.9%
96 1
1.9%
80 1
1.9%
52 1
1.9%

전화번호
Text

MISSING 

Distinct48
Distinct (%)94.1%
Missing1
Missing (%)1.9%
Memory size544.0 B
2024-03-15T10:22:24.709426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.039216
Min length12

Characters and Unicode

Total characters614
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

Unique46 ?
Unique (%)90.2%

Sample

1st row053-381-1560
2nd row053-941-8328
3rd row053-852-0423
4th row053-963-3927
5th row053-986-3060
ValueCountFrequency (%)
053-943-0448 3
 
5.9%
053-588-8291 2
 
3.9%
053-657-0150 1
 
2.0%
053-657-0622 1
 
2.0%
053-652-6740 1
 
2.0%
053-566-1134 1
 
2.0%
053-559-8287 1
 
2.0%
053-626-2220 1
 
2.0%
053-653-8520 1
 
2.0%
053-642-0101 1
 
2.0%
Other values (38) 38
74.5%
2024-03-15T10:22:25.961925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 102
16.6%
- 102
16.6%
5 88
14.3%
3 82
13.4%
2 44
7.2%
6 42
6.8%
7 37
 
6.0%
1 33
 
5.4%
8 31
 
5.0%
4 29
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
83.4%
Dash Punctuation 102
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
19.9%
5 88
17.2%
3 82
16.0%
2 44
8.6%
6 42
8.2%
7 37
 
7.2%
1 33
 
6.4%
8 31
 
6.1%
4 29
 
5.7%
9 24
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 614
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 102
16.6%
- 102
16.6%
5 88
14.3%
3 82
13.4%
2 44
7.2%
6 42
6.8%
7 37
 
6.0%
1 33
 
5.4%
8 31
 
5.0%
4 29
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 102
16.6%
- 102
16.6%
5 88
14.3%
3 82
13.4%
2 44
7.2%
6 42
6.8%
7 37
 
6.0%
1 33
 
5.4%
8 31
 
5.0%
4 29
 
4.7%

설치일자
Date

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size544.0 B
Minimum1952-12-07 00:00:00
Maximum2020-06-05 00:00:00
2024-03-15T10:22:26.384525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:22:26.834327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영자
Text

Distinct33
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T10:22:27.802959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.0384615
Min length2

Characters and Unicode

Total characters470
Distinct characters75
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)38.5%

Sample

1st row선산복지재단
2nd row사회복지법인성보재활원
3rd row청암재단
4th row성요한복지재단
5th row아시아복지재단
ValueCountFrequency (%)
대구지적발달장애인복지협회 10
 
15.9%
아시아복지재단 4
 
6.3%
애망원유지재단 3
 
4.8%
사회복지법인 3
 
4.8%
한사랑 3
 
4.8%
대구남산복지재단 3
 
4.8%
더불어복지재단 2
 
3.2%
청암재단 2
 
3.2%
대구가톨릭사회복지회 2
 
3.2%
성요한복지재단 2
 
3.2%
Other values (25) 29
46.0%
2024-03-15T10:22:29.032467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 59
 
12.6%
복 38
 
8.1%
재 30
 
6.4%
단 29
 
6.2%
회 24
 
5.1%
구 23
 
4.9%
인 21
 
4.5%
대 17
 
3.6%
달 14
 
3.0%
장 14
 
3.0%
Other values (65) 201
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
96.4%
Space Separator 12
 
2.6%
Decimal Number 3
 
0.6%
Dash Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 59
 
13.0%
복 38
 
8.4%
재 30
 
6.6%
단 29
 
6.4%
회 24
 
5.3%
구 23
 
5.1%
인 21
 
4.6%
대 17
 
3.8%
달 14
 
3.1%
장 14
 
3.1%
Other values (59) 184
40.6%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 453
96.4%
Common 16
 
3.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 59
 
13.0%
복 38
 
8.4%
재 30
 
6.6%
단 29
 
6.4%
회 24
 
5.3%
구 23
 
5.1%
인 21
 
4.6%
대 17
 
3.8%
달 14
 
3.1%
장 14
 
3.1%
Other values (59) 184
40.6%
Common
ValueCountFrequency (%)
12
75.0%
3 1
 
6.2%
5 1
 
6.2%
6 1
 
6.2%
- 1
 
6.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 453
96.4%
ASCII 17
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 59
 
13.0%
복 38
 
8.4%
재 30
 
6.6%
단 29
 
6.4%
회 24
 
5.3%
구 23
 
5.1%
인 21
 
4.6%
대 17
 
3.8%
달 14
 
3.1%
장 14
 
3.1%
Other values (59) 184
40.6%
ASCII
ValueCountFrequency (%)
12
70.6%
3 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
- 1
 
5.9%
A 1
 
5.9%

Interactions

2024-03-15T10:22:13.389610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:22:12.663233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:22:13.738810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:22:12.997074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:22:29.299884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분시설명시설장소재지정원전화번호설치일자운영자
번호1.0000.9301.0001.0000.9020.7561.0000.9780.936
구분0.9301.0001.0001.0000.0000.9561.0000.0000.788
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0000.8771.0001.0000.9950.997
소재지0.9020.0001.0000.8771.0000.0000.9350.9671.000
정원0.7560.9561.0001.0000.0001.0001.0000.9980.000
전화번호1.0001.0001.0001.0000.9351.0001.0000.9951.000
설치일자0.9780.0001.0000.9950.9670.9980.9951.0000.991
운영자0.9360.7881.0000.9971.0000.0001.0000.9911.000
2024-03-15T10:22:29.605184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호정원구분
번호1.000-0.8560.609
정원-0.8561.0000.671
구분0.6090.6711.000

Missing values

2024-03-15T10:22:14.127012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:22:14.622663image/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

번호구분시설명시설장소재지정원전화번호설치일자운영자
01장애유형별거주시설대구안식원김시현북구 복현로20길52105053-381-15601959-06-04선산복지재단
12장애유형별거주시설성보재활원이금희북구 동북로71길 9-29195053-941-83281960-11-17사회복지법인성보재활원
23장애유형별거주시설청구재활원노규현경북 경산시 와촌면 소월2길 20179053-852-04231952-12-07청암재단
34장애유형별거주시설일심재활원허진혁동구 반야월북로27길 33135053-963-39271960-05-25성요한복지재단
45장애유형별거주시설자유재활원강영신동구 팔공산로 225162053-986-30601979-11-28아시아복지재단
56장애유형별거주시설요한의 집허영기동구 반야월북로27길 3340053-963-75642006-08-14성요한복지재단
67장애유형별거주시설카리타스남구보금자리금경환남구 안지랑로2길 1530053-710-70302010-08-23대구가톨릭사회복지회
78장애유형별거주시설힘찬누리임경미남구 효성로 50-130053-473-01232011-06-01아시아복지재단
89장애유형별거주시설카리타스달서구보금자리김소영달서구 용산큰못1길 1230053-721-70902012-07-31대구가톨릭사회복지회
910장애유형별거주시설세중복지촌이정화군위군 군위급 새터길 5030054-383-73002013-09-11세중복지재단
번호구분시설명시설장소재지정원전화번호설치일자운영자
4243장애인공동생활가정들안길공동생활가정이응수수성구 청수로20길 24-9, 301호 (두산동,아트하우스)4070-8125-01242013-08-23대구지적발달장애인복지협회 수성구지부
4344장애인공동생활가정참일꾼의 집이종균수성구 효행로 24, 6동 403호 (만촌동,럭키골든맨션)4053-742-34802000-12-04아시아복지재단
4445장애인공동생활가정청인공동생활가정이근영수성구 고산로 70, 216-1107 (신매동,시지청솔타운)4053-792-60652010-11-19청인재단
4546장애인공동생활가정느티나무공동생활가정이응수달서구 감삼길26-10, 502호4070-8236-01232011-01-05대구지적발달장애인복지협회 수성구지부
4647장애인공동생활가정블레싱홈박건달서구 중흥로 5길 22, 한빛빌 501호4053-261-11342015-08-25대구서문복지재단
4748장애인공동생활가정하은의집장은주달서구 월배로 80길 86, 4층 502호4053-621-02262010-04-19대구지적발달장애인복지협회
4849장애인공동생활가정셋둘삶터신경희달성군 하빈면 하빈남로 54길 27-2, 101호4053-588-82912012-06-14한국장로교복지재단
4950장애인공동생활가정아름다운 집신경희달성군 하빈면 하빈남로 54길 27-2, 102호4053-588-82912012-06-14한국장로교복지재단
5051장애인공동생활가정꿈드림하우스박경림달성군 화원읍 성암로2길 7, 리치빌 102호4<NA>2020-06-05정인사회복지회
5152장애인공동생활가정대구장애인종합복지관공동생활가정김대영수성구 파동로30길 5, 성원빌라 501호4053-763-10112001-11-19국제라이온스협회 356-A지구