Overview

Dataset statistics

Number of variables3
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1020.0 B
Average record size in memory27.6 B

Variable types

Text3

Dataset

Description대전광역시 장애인복지
Author대전광역시
URLhttps://www.data.go.kr/data/15062076/fileData.do

Alerts

시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:00:22.418319
Analysis finished2023-12-12 04:00:22.833609
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T13:00:22.997724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length3.8648649
Min length2

Characters and Unicode

Total characters143
Distinct characters87
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

Unique37 ?
Unique (%)100.0%

Sample

1st row한우리쉼터
2nd row한우리쉼터용운동집
3rd row에벤에셀의집
4th row주사랑쉼터
5th row대전밀알의집
ValueCountFrequency (%)
한우리쉼터 1
 
2.6%
예람 1
 
2.6%
사랑누리 1
 
2.6%
하늘 1
 
2.6%
하솜 1
 
2.6%
그린하우스 1
 
2.6%
실로암 1
 
2.6%
샬롬 1
 
2.6%
더함 1
 
2.6%
이새 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T13:00:23.411418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 7
 
4.9%
리 6
 
4.2%
한 5
 
3.5%
의 5
 
3.5%
쉼 5
 
3.5%
터 5
 
3.5%
우 5
 
3.5%
하 5
 
3.5%
스 3
 
2.1%
랑 3
 
2.1%
Other values (77) 94
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
98.6%
Space Separator 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 7
 
5.0%
리 6
 
4.3%
한 5
 
3.5%
의 5
 
3.5%
쉼 5
 
3.5%
터 5
 
3.5%
우 5
 
3.5%
하 5
 
3.5%
스 3
 
2.1%
랑 3
 
2.1%
Other values (76) 92
65.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
98.6%
Common 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 7
 
5.0%
리 6
 
4.3%
한 5
 
3.5%
의 5
 
3.5%
쉼 5
 
3.5%
터 5
 
3.5%
우 5
 
3.5%
하 5
 
3.5%
스 3
 
2.1%
랑 3
 
2.1%
Other values (76) 92
65.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
98.6%
ASCII 2
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 7
 
5.0%
리 6
 
4.3%
한 5
 
3.5%
의 5
 
3.5%
쉼 5
 
3.5%
터 5
 
3.5%
우 5
 
3.5%
하 5
 
3.5%
스 3
 
2.1%
랑 3
 
2.1%
Other values (76) 92
65.2%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T13:00:23.749529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length24.216216
Min length16

Characters and Unicode

Total characters896
Distinct characters115
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

Unique37 ?
Unique (%)100.0%

Sample

1st row동구 옥천로653번길 175-9(신상동)
2nd row동구 용운로 80 용방마을@ 308-403(용운동)
3rd row동구 너더리 3길 21(판암동)
4th row동구 대전로542번길 121, 316동301호(천동)
5th row동구 용운로156번길 15(용운동)
ValueCountFrequency (%)
동구 13
 
9.3%
서구 11
 
7.9%
중구 6
 
4.3%
대덕구 4
 
2.9%
유성구 3
 
2.1%
대전로542번길 2
 
1.4%
121 2
 
1.4%
계백로1300번길 2
 
1.4%
관저로84 1
 
0.7%
86 1
 
0.7%
Other values (95) 95
67.9%
2023-12-12T13:00:24.245635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
11.5%
1 61
 
6.8%
동 60
 
6.7%
구 38
 
4.2%
0 37
 
4.1%
( 37
 
4.1%
) 37
 
4.1%
2 35
 
3.9%
로 34
 
3.8%
길 25
 
2.8%
Other values (105) 429
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
47.2%
Decimal Number 254
28.3%
Space Separator 103
 
11.5%
Open Punctuation 37
 
4.1%
Close Punctuation 37
 
4.1%
Other Punctuation 23
 
2.6%
Dash Punctuation 19
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
 
14.2%
구 38
 
9.0%
로 34
 
8.0%
길 25
 
5.9%
번 24
 
5.7%
대 14
 
3.3%
서 12
 
2.8%
호 11
 
2.6%
용 9
 
2.1%
중 9
 
2.1%
Other values (89) 187
44.2%
Decimal Number
ValueCountFrequency (%)
1 61
24.0%
0 37
14.6%
2 35
13.8%
4 24
 
9.4%
3 23
 
9.1%
5 22
 
8.7%
7 18
 
7.1%
6 14
 
5.5%
8 12
 
4.7%
9 8
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 16
69.6%
@ 7
30.4%
Space Separator
ValueCountFrequency (%)
103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
52.8%
Hangul 423
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
 
14.2%
구 38
 
9.0%
로 34
 
8.0%
길 25
 
5.9%
번 24
 
5.7%
대 14
 
3.3%
서 12
 
2.8%
호 11
 
2.6%
용 9
 
2.1%
중 9
 
2.1%
Other values (89) 187
44.2%
Common
ValueCountFrequency (%)
103
21.8%
1 61
12.9%
0 37
 
7.8%
( 37
 
7.8%
) 37
 
7.8%
2 35
 
7.4%
4 24
 
5.1%
3 23
 
4.9%
5 22
 
4.7%
- 19
 
4.0%
Other values (6) 75
15.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
52.8%
Hangul 423
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
21.8%
1 61
12.9%
0 37
 
7.8%
( 37
 
7.8%
) 37
 
7.8%
2 35
 
7.4%
4 24
 
5.1%
3 23
 
4.9%
5 22
 
4.7%
- 19
 
4.0%
Other values (6) 75
15.9%
Hangul
ValueCountFrequency (%)
동 60
 
14.2%
구 38
 
9.0%
로 34
 
8.0%
길 25
 
5.9%
번 24
 
5.7%
대 14
 
3.3%
서 12
 
2.8%
호 11
 
2.6%
용 9
 
2.1%
중 9
 
2.1%
Other values (89) 187
44.2%

전화번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T13:00:24.556498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027027
Min length12

Characters and Unicode

Total characters445
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

Unique37 ?
Unique (%)100.0%

Sample

1st row042-273-6490
2nd row042-283-6490
3rd row042-283-7743
4th row042-274-3193
5th row042-484-1763
ValueCountFrequency (%)
042-273-6490 1
 
2.7%
042-522-9457 1
 
2.7%
042-362-6513 1
 
2.7%
042-524-6459 1
 
2.7%
042-542-8108 1
 
2.7%
042-543-1187 1
 
2.7%
042-471-7671 1
 
2.7%
042-545-0320 1
 
2.7%
042-541-4911 1
 
2.7%
042-537-8505 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T13:00:25.045816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 74
16.6%
2 68
15.3%
4 63
14.2%
0 59
13.3%
7 33
7.4%
3 30
6.7%
5 29
 
6.5%
8 28
 
6.3%
1 23
 
5.2%
9 20
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 371
83.4%
Dash Punctuation 74
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
18.3%
4 63
17.0%
0 59
15.9%
7 33
8.9%
3 30
8.1%
5 29
7.8%
8 28
7.5%
1 23
 
6.2%
9 20
 
5.4%
6 18
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 74
16.6%
2 68
15.3%
4 63
14.2%
0 59
13.3%
7 33
7.4%
3 30
6.7%
5 29
 
6.5%
8 28
 
6.3%
1 23
 
5.2%
9 20
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 74
16.6%
2 68
15.3%
4 63
14.2%
0 59
13.3%
7 33
7.4%
3 30
6.7%
5 29
 
6.5%
8 28
 
6.3%
1 23
 
5.2%
9 20
 
4.5%

Correlations

2023-12-12T13:00:25.158422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지전화번호
시설명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T13:00:22.690381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:00:22.795511image/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
0한우리쉼터동구 옥천로653번길 175-9(신상동)042-273-6490
1한우리쉼터용운동집동구 용운로 80 용방마을@ 308-403(용운동)042-283-6490
2에벤에셀의집동구 너더리 3길 21(판암동)042-283-7743
3주사랑쉼터동구 대전로542번길 121, 316동301호(천동)042-274-3193
4대전밀알의집동구 용운로156번길 15(용운동)042-484-1763
5에덴하우스동구 학고개로 82-20(이사동)042-273-4009
6베델리엄의집동구 흥룡로 18-1(가양동)042-623-8123
7해달별동구 계족로 489번길 73 한숲@ 101-101(용전동)042-628-8550
8호마노의 집동구 현암로61번길 59(삼성동)042-626-8071
9정원동구 대전로340번길 20 삼익세라믹@ 105-105(대성동)042-271-8874
시설명소재지전화번호
27예람서구 계백로1300번길 86, 401호(정림동, 가온빌)042-541-4911
28이새서구 동서대로1063번길 14-48(내동)042-537-8505
29다온서구 가수원로72번길 103-1304(은아@,가수원동)070-4063-8769
30행복공동체유성구 지족로364번길 91 경남아너스빌 602호(지족동)042-826-8591
31하늘꽃유성구 유성대로155번길 109-6번지(교촌동)042-543-2199
32느티나무유성구 진잠옛로 35-25, 101호(용계동)042-545-9847
33해뜨는집대덕구 대화2길 24 (대화동)042-349-9703
34늘품대덕구 우암로491번길 41(비래동)042-637-1837
35섬돌대덕구 중리동로 46 (중리동)042-637-1831
36드림대덕구 신탄진동 137-2,트윈스7차 401호(신탄진동)042-931-7330