Overview

Dataset statistics

Number of variables3
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory26.8 B

Variable types

Text3

Dataset

Description대전광역시 장애인복지
Author대전광역시
URLhttps://www.data.go.kr/data/15062078/fileData.do

Alerts

시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:51:56.267494
Analysis finished2023-12-12 21:51:56.618260
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:51:56.778332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.7446809
Min length5

Characters and Unicode

Total characters411
Distinct characters108
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

Unique47 ?
Unique (%)100.0%

Sample

1st row명은주간보호
2nd row생명주간보호
3rd row파랑새주간보호
4th row꿈이있는주간보호
5th row판암주간보호
ValueCountFrequency (%)
명은주간보호 1
 
2.1%
샤론원장애인주간보호 1
 
2.1%
힘찬주간보호 1
 
2.1%
늘사랑특수교육원 1
 
2.1%
소담누리장애인주간보호 1
 
2.1%
나비장애인주간보호 1
 
2.1%
시립장애인종합복지관주간보호 1
 
2.1%
이삭주간보호 1
 
2.1%
유성구장애인종합복지관주간보호 1
 
2.1%
행복나무특수교육원주간보호 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T06:51:57.063258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
10.5%
간 43
 
10.5%
보 43
 
10.5%
호 43
 
10.5%
장 18
 
4.4%
애 18
 
4.4%
인 17
 
4.1%
나 8
 
1.9%
복 7
 
1.7%
관 6
 
1.5%
Other values (98) 165
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
99.8%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
10.5%
간 43
 
10.5%
보 43
 
10.5%
호 43
 
10.5%
장 18
 
4.4%
애 18
 
4.4%
인 17
 
4.1%
나 8
 
2.0%
복 7
 
1.7%
관 6
 
1.5%
Other values (97) 164
40.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
10.5%
간 43
 
10.5%
보 43
 
10.5%
호 43
 
10.5%
장 18
 
4.4%
애 18
 
4.4%
인 17
 
4.1%
나 8
 
2.0%
복 7
 
1.7%
관 6
 
1.5%
Other values (97) 164
40.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
10.5%
간 43
 
10.5%
보 43
 
10.5%
호 43
 
10.5%
장 18
 
4.4%
애 18
 
4.4%
인 17
 
4.1%
나 8
 
2.0%
복 7
 
1.7%
관 6
 
1.5%
Other values (97) 164
40.0%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:51:57.304222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length18.255319
Min length13

Characters and Unicode

Total characters858
Distinct characters99
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

Unique45 ?
Unique (%)95.7%

Sample

1st row동구 우암로 48(삼성동)
2nd row동구 동부로 56-7(판암동)
3rd row동구 백룡로48번길 79,2층(대동)
4th row동구 대전천동로 414(인동)
5th row동구 동부로 56-34(판암동)
ValueCountFrequency (%)
서구 12
 
7.8%
동구 11
 
7.2%
대덕구 10
 
6.5%
중구 7
 
4.6%
유성구 7
 
4.6%
신탄진로 3
 
2.0%
계백로 2
 
1.3%
대전로 2
 
1.3%
도솔로 2
 
1.3%
동부로 2
 
1.3%
Other values (93) 95
62.1%
2023-12-13T06:51:57.639730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
12.4%
동 64
 
7.5%
구 49
 
5.7%
( 46
 
5.4%
) 46
 
5.4%
로 45
 
5.2%
1 36
 
4.2%
4 25
 
2.9%
2 25
 
2.9%
길 22
 
2.6%
Other values (89) 394
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
53.3%
Decimal Number 186
21.7%
Space Separator 106
 
12.4%
Open Punctuation 46
 
5.4%
Close Punctuation 46
 
5.4%
Dash Punctuation 10
 
1.2%
Other Punctuation 6
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 64
 
14.0%
구 49
 
10.7%
로 45
 
9.8%
길 22
 
4.8%
번 20
 
4.4%
대 19
 
4.2%
서 15
 
3.3%
성 13
 
2.8%
덕 12
 
2.6%
유 11
 
2.4%
Other values (73) 187
40.9%
Decimal Number
ValueCountFrequency (%)
1 36
19.4%
4 25
13.4%
2 25
13.4%
3 20
10.8%
7 18
9.7%
8 16
8.6%
5 16
8.6%
6 11
 
5.9%
9 11
 
5.9%
0 8
 
4.3%
Space Separator
ValueCountFrequency (%)
106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
53.3%
Common 400
46.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 64
 
14.0%
구 49
 
10.7%
로 45
 
9.8%
길 22
 
4.8%
번 20
 
4.4%
대 19
 
4.2%
서 15
 
3.3%
성 13
 
2.8%
덕 12
 
2.6%
유 11
 
2.4%
Other values (73) 187
40.9%
Common
ValueCountFrequency (%)
106
26.5%
( 46
11.5%
) 46
11.5%
1 36
 
9.0%
4 25
 
6.2%
2 25
 
6.2%
3 20
 
5.0%
7 18
 
4.5%
8 16
 
4.0%
5 16
 
4.0%
Other values (5) 46
11.5%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
53.3%
ASCII 401
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
26.4%
( 46
11.5%
) 46
11.5%
1 36
 
9.0%
4 25
 
6.2%
2 25
 
6.2%
3 20
 
5.0%
7 18
 
4.5%
8 16
 
4.0%
5 16
 
4.0%
Other values (6) 47
11.7%
Hangul
ValueCountFrequency (%)
동 64
 
14.0%
구 49
 
10.7%
로 45
 
9.8%
길 22
 
4.8%
번 20
 
4.4%
대 19
 
4.2%
서 15
 
3.3%
성 13
 
2.8%
덕 12
 
2.6%
유 11
 
2.4%
Other values (73) 187
40.9%

전화번호
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:51:57.829921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.12766
Min length12

Characters and Unicode

Total characters570
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

Unique45 ?
Unique (%)95.7%

Sample

1st row042-632-7338
2nd row042-286-9190
3rd row070-8613-8336
4th row070-4145-8046
5th row042-285-0028
ValueCountFrequency (%)
042-622-0675 2
 
4.3%
042-822-3637 1
 
2.1%
042-621-3026 1
 
2.1%
042-823-6243 1
 
2.1%
042-536-1771 1
 
2.1%
042-585-0101 1
 
2.1%
042-369-0322 1
 
2.1%
070-7620-5362 1
 
2.1%
042-523-0420 1
 
2.1%
042-540-3587 1
 
2.1%
Other values (36) 36
76.6%
2023-12-13T06:51:58.369145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 101
17.7%
- 94
16.5%
0 88
15.4%
4 64
11.2%
3 45
7.9%
6 40
 
7.0%
5 36
 
6.3%
8 34
 
6.0%
7 32
 
5.6%
1 23
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 476
83.5%
Dash Punctuation 94
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 101
21.2%
0 88
18.5%
4 64
13.4%
3 45
9.5%
6 40
 
8.4%
5 36
 
7.6%
8 34
 
7.1%
7 32
 
6.7%
1 23
 
4.8%
9 13
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 101
17.7%
- 94
16.5%
0 88
15.4%
4 64
11.2%
3 45
7.9%
6 40
 
7.0%
5 36
 
6.3%
8 34
 
6.0%
7 32
 
5.6%
1 23
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 101
17.7%
- 94
16.5%
0 88
15.4%
4 64
11.2%
3 45
7.9%
6 40
 
7.0%
5 36
 
6.3%
8 34
 
6.0%
7 32
 
5.6%
1 23
 
4.0%

Correlations

2023-12-13T06:51:58.451640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지전화번호
시설명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-13T06:51:56.495545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:51:56.585420image/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

시설명소재지전화번호
0명은주간보호동구 우암로 48(삼성동)042-632-7338
1생명주간보호동구 동부로 56-7(판암동)042-286-9190
2파랑새주간보호동구 백룡로48번길 79,2층(대동)070-8613-8336
3꿈이있는주간보호동구 대전천동로 414(인동)070-4145-8046
4판암주간보호동구 동부로 56-34(판암동)042-285-0028
5초록나무주간보호동구 동서대로1778번길 115(가양동)042-383-7072
6한울장애인주간보호동구 가양로 72(가양동)042-626-2374
7기쁜우리주간보호동구 홍도로 5-14(홍도동)042-524-0591
8동그라미주간보호동구 산내로495(상소동)042-272-0508
9두손주간보호동구 산내로1315번길 5-6(낭월동)042-283-2223
시설명소재지전화번호
37가나특수교육원대덕구 신탄진로218번길 57-9(와동)042-637-3025
38로뎀나무주간보호대덕구 대전로 1081(오정동)042-622-0675
39대덕구종합사회복지관주간보호대덕구 덕암로234번길 44(덕암동)070-7858-2498
40대덕구장애인종합복지관주간보호대덕구 신탄진로 77(연축동)042-637-2259
41엘림특수교육원대덕구 한남로88번길 24(오정동)042-626-3026
42해오름주간보호대덕구 신탄진로 218번길 32(와동)042-627-3012
43포도나무 주간보호대덕구 대전로 1081(오정동)042-622-0675
44드림장애인주간보호대덕구 신탄진로 804번길 75(신탄진동)070-8126-7330
45열매주간보호대덕구 한남로137번길 57(오정동)042-621-3026
46행복이음주간보호대덕구 계족로740번길 23-13(읍내동)042-632-2279