Overview

Dataset statistics

Number of variables4
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory804.0 B
Average record size in memory38.3 B

Variable types

Text3
Categorical1

Dataset

Description대전광역시 장애인복지 장애유형별 거주시설 현황에 대한 데이터로 장애유형별 거주시설의 시설명, 소재지, 입소대상, 전화번호 입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15062073/fileData.do

Alerts

시설명 has unique valuesUnique

Reproduction

Analysis started2023-10-09 19:12:51.890544
Analysis finished2023-10-09 19:12:52.578608
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-10-10T04:12:52.935322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.952381
Min length2

Characters and Unicode

Total characters83
Distinct characters49
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

Unique21 ?
Unique (%)100.0%

Sample

1st row사랑의집
2nd row하 람
3rd row우리사랑
4th row은혜의집
5th row축복의집
ValueCountFrequency (%)
한 3
 
10.0%
사랑의집 1
 
3.3%
행복마을 1
 
3.3%
새둥지 1
 
3.3%
평강의집 1
 
3.3%
정화원 1
 
3.3%
온달의집 1
 
3.3%
담 1
 
3.3%
아 1
 
3.3%
성세재활원 1
 
3.3%
Other values (18) 18
60.0%
2023-10-10T04:12:53.651546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
10.8%
의 6
 
7.2%
집 6
 
7.2%
한 5
 
6.0%
원 4
 
4.8%
복 3
 
3.6%
마 3
 
3.6%
사 2
 
2.4%
랑 2
 
2.4%
행 2
 
2.4%
Other values (39) 41
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74
89.2%
Space Separator 9
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 6
 
8.1%
집 6
 
8.1%
한 5
 
6.8%
원 4
 
5.4%
복 3
 
4.1%
마 3
 
4.1%
사 2
 
2.7%
랑 2
 
2.7%
행 2
 
2.7%
을 2
 
2.7%
Other values (38) 39
52.7%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74
89.2%
Common 9
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 6
 
8.1%
집 6
 
8.1%
한 5
 
6.8%
원 4
 
5.4%
복 3
 
4.1%
마 3
 
4.1%
사 2
 
2.7%
랑 2
 
2.7%
행 2
 
2.7%
을 2
 
2.7%
Other values (38) 39
52.7%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74
89.2%
ASCII 9
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
의 6
 
8.1%
집 6
 
8.1%
한 5
 
6.8%
원 4
 
5.4%
복 3
 
4.1%
마 3
 
4.1%
사 2
 
2.7%
랑 2
 
2.7%
행 2
 
2.7%
을 2
 
2.7%
Other values (38) 39
52.7%

소재지
Text

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-10-10T04:12:54.022020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length16.428571
Min length14

Characters and Unicode

Total characters345
Distinct characters53
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)38.1%

Sample

1st row동구 백룡로 14번길9-10(자양동)
2nd row동구 대흥로 202번길 32(인동)
3rd row중구 단재로 426-42(어남동)
4th row중구 단재로 471(어남동)
5th row중구 단재로 471(어남동)
ValueCountFrequency (%)
서구 9
 
13.6%
대덕구 5
 
7.6%
삼보실길 5
 
7.6%
123(장안동 4
 
6.1%
대화1길 4
 
6.1%
2(대화동 3
 
4.5%
중구 3
 
4.5%
단재로 3
 
4.5%
352(원정동 2
 
3.0%
동구 2
 
3.0%
Other values (21) 26
39.4%
2023-10-10T04:12:54.738939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
13.0%
동 22
 
6.4%
구 21
 
6.1%
( 20
 
5.8%
) 20
 
5.8%
1 19
 
5.5%
길 17
 
4.9%
2 17
 
4.9%
대 16
 
4.6%
서 9
 
2.6%
Other values (43) 139
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
53.6%
Decimal Number 72
 
20.9%
Space Separator 45
 
13.0%
Open Punctuation 20
 
5.8%
Close Punctuation 20
 
5.8%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
11.9%
구 21
 
11.4%
길 17
 
9.2%
대 16
 
8.6%
서 9
 
4.9%
화 8
 
4.3%
로 8
 
4.3%
안 5
 
2.7%
실 5
 
2.7%
보 5
 
2.7%
Other values (29) 69
37.3%
Decimal Number
ValueCountFrequency (%)
1 19
26.4%
2 17
23.6%
3 8
11.1%
5 6
 
8.3%
4 5
 
6.9%
8 4
 
5.6%
9 4
 
5.6%
6 3
 
4.2%
7 3
 
4.2%
0 3
 
4.2%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
53.6%
Common 160
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
11.9%
구 21
 
11.4%
길 17
 
9.2%
대 16
 
8.6%
서 9
 
4.9%
화 8
 
4.3%
로 8
 
4.3%
안 5
 
2.7%
실 5
 
2.7%
보 5
 
2.7%
Other values (29) 69
37.3%
Common
ValueCountFrequency (%)
45
28.1%
( 20
12.5%
) 20
12.5%
1 19
11.9%
2 17
 
10.6%
3 8
 
5.0%
5 6
 
3.8%
4 5
 
3.1%
8 4
 
2.5%
9 4
 
2.5%
Other values (4) 12
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
53.6%
ASCII 160
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
28.1%
( 20
12.5%
) 20
12.5%
1 19
11.9%
2 17
 
10.6%
3 8
 
5.0%
5 6
 
3.8%
4 5
 
3.1%
8 4
 
2.5%
9 4
 
2.5%
Other values (4) 12
 
7.5%
Hangul
ValueCountFrequency (%)
동 22
 
11.9%
구 21
 
11.4%
길 17
 
9.2%
대 16
 
8.6%
서 9
 
4.9%
화 8
 
4.3%
로 8
 
4.3%
안 5
 
2.7%
실 5
 
2.7%
보 5
 
2.7%
Other values (29) 69
37.3%

입소대상
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
중증
11 
지적
6 
성인지적
2 
시각
 
1
지체
 
1

Length

Max length4
Median length2
Mean length2.1904762
Min length2

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row성인지적
2nd row중증
3rd row중증
4th row지적
5th row중증

Common Values

ValueCountFrequency (%)
중증 11
52.4%
지적 6
28.6%
성인지적 2
 
9.5%
시각 1
 
4.8%
지체 1
 
4.8%

Length

2023-10-10T04:12:55.190091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-10T04:12:55.486446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중증 11
52.4%
지적 6
28.6%
성인지적 2
 
9.5%
시각 1
 
4.8%
지체 1
 
4.8%

전화번호
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-10-10T04:12:55.893157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique19 ?
Unique (%)90.5%

Sample

1st row042-623-4297
2nd row042-253-8001
3rd row042-285-0002
4th row042-271-2113
5th row042-271-2113
ValueCountFrequency (%)
042-271-2113 2
 
9.5%
042-623-4297 1
 
4.8%
042-586-4665 1
 
4.8%
042-349-6001 1
 
4.8%
042-349-9000 1
 
4.8%
042-349-8800 1
 
4.8%
042-349-6600 1
 
4.8%
042-824-3692 1
 
4.8%
042-540-3600 1
 
4.8%
042-385-0788 1
 
4.8%
Other values (10) 10
47.6%
2023-10-10T04:12:56.545431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
18.3%
- 42
16.7%
2 36
14.3%
4 34
13.5%
8 19
7.5%
5 18
 
7.1%
3 15
 
6.0%
1 13
 
5.2%
6 13
 
5.2%
7 9
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
21.9%
2 36
17.1%
4 34
16.2%
8 19
9.0%
5 18
 
8.6%
3 15
 
7.1%
1 13
 
6.2%
6 13
 
6.2%
7 9
 
4.3%
9 7
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
18.3%
- 42
16.7%
2 36
14.3%
4 34
13.5%
8 19
7.5%
5 18
 
7.1%
3 15
 
6.0%
1 13
 
5.2%
6 13
 
5.2%
7 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
18.3%
- 42
16.7%
2 36
14.3%
4 34
13.5%
8 19
7.5%
5 18
 
7.1%
3 15
 
6.0%
1 13
 
5.2%
6 13
 
5.2%
7 9
 
3.6%

Correlations

2023-10-10T04:12:56.754068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지입소대상전화번호
시설명1.0001.0001.0001.000
소재지1.0001.0000.2141.000
입소대상1.0000.2141.0000.980
전화번호1.0001.0000.9801.000

Missing values

2023-10-10T04:12:52.293925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-10T04:12:52.508283image/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

시설명소재지입소대상전화번호
0사랑의집동구 백룡로 14번길9-10(자양동)성인지적042-623-4297
1하 람동구 대흥로 202번길 32(인동)중증042-253-8001
2우리사랑중구 단재로 426-42(어남동)중증042-285-0002
3은혜의집중구 단재로 471(어남동)지적042-271-2113
4축복의집중구 단재로 471(어남동)중증042-271-2113
5한마음의집서구 삼보실길 123(장안동)시각042-585-0781
6한 몸서구 삼보실길 123(장안동)중증042-583-4472
7한뜻마을서구 삼보실길 123(장안동)지적042-585-3342
8동 심 원서구 영골길 159(오동)성인지적042-581-2254
9한 걸 음서구 삼보실길 68(장안동)중증042-585-0780
시설명소재지입소대상전화번호
11연광자립원서구 영골길 159(오동)중증042-581-0083
12행복누림서구 요골길 352(원정동)중증042-586-4665
13한 줄 기서구 삼보실길 123(장안동)중증042-385-0788
14성세재활원유성구 유성대로 298번길 175(용계동)지체042-540-3600
15아 담유성구 학하중앙로 128번길 23-15중증042-824-3692
16온달의집대덕구 대화1길 2(대화동)지적042-349-6600
17정화원대덕구 대화1길 2(대화동)지적042-349-8800
18평강의집대덕구 대화1길 2(대화동)중증042-349-9000
19새둥지대덕구 대화1길 6(대화동)지적042-349-6001
20로뎀대덕구 대전로 1081(오정동)중증042-710-0675