Overview

Dataset statistics

Number of variables5
Number of observations41
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory44.2 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description동구 관내 장애인 복지시설 현황에 관한 데이터로서, 시설명, 복지시설 소재지 및 전화번호 등의 정보를 포함하고 있습니다.
Author대전광역시 동구
URLhttps://www.data.go.kr/data/3081006/fileData.do

Alerts

전화번호 has 1 (2.4%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:45:03.356857
Analysis finished2023-12-12 10:45:04.139272
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T19:45:04.224935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-12T19:45:04.442122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

시설명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T19:45:04.782784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.804878
Min length2

Characters and Unicode

Total characters320
Distinct characters104
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

Unique41 ?
Unique (%)100.0%

Sample

1st row사랑의 집
2nd row하 람
3rd row해바라기
4th row참 사 랑
5th row파란나무
ValueCountFrequency (%)
우 2
 
3.7%
리 1
 
1.9%
아름다운복지관 1
 
1.9%
밀알복지관 1
 
1.9%
명은장애인주간보호센터 1
 
1.9%
생명장애인주간보호센터 1
 
1.9%
파랑새장애인주간보호센터 1
 
1.9%
꿈이있는장애인주간보호센터 1
 
1.9%
판암장애인주간보호센터 1
 
1.9%
초록나무장애인주간보호센터 1
 
1.9%
Other values (43) 43
79.6%
2023-12-12T19:45:05.297536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 19
 
5.9%
호 15
 
4.7%
센 15
 
4.7%
보 15
 
4.7%
장 15
 
4.7%
주 14
 
4.4%
13
 
4.1%
애 11
 
3.4%
간 11
 
3.4%
인 10
 
3.1%
Other values (94) 182
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
95.9%
Space Separator 13
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 19
 
6.2%
호 15
 
4.9%
센 15
 
4.9%
보 15
 
4.9%
장 15
 
4.9%
주 14
 
4.6%
애 11
 
3.6%
간 11
 
3.6%
인 10
 
3.3%
업 6
 
2.0%
Other values (93) 176
57.3%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
95.9%
Common 13
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 19
 
6.2%
호 15
 
4.9%
센 15
 
4.9%
보 15
 
4.9%
장 15
 
4.9%
주 14
 
4.6%
애 11
 
3.6%
간 11
 
3.6%
인 10
 
3.3%
업 6
 
2.0%
Other values (93) 176
57.3%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
95.9%
ASCII 13
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 19
 
6.2%
호 15
 
4.9%
센 15
 
4.9%
보 15
 
4.9%
장 15
 
4.9%
주 14
 
4.6%
애 11
 
3.6%
간 11
 
3.6%
인 10
 
3.3%
업 6
 
2.0%
Other values (93) 176
57.3%
ASCII
ValueCountFrequency (%)
13
100.0%

소재지
Text

Distinct38
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T19:45:05.698439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length26.804878
Min length21

Characters and Unicode

Total characters1099
Distinct characters91
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

Unique36 ?
Unique (%)87.8%

Sample

1st row대전광역시 동구 백룡로14번길 9-10(자양동)
2nd row대전광역시 동구 대흥로202번길 32(인동)
3rd row대전광역시 동구 산내로400번길 200(상소동)
4th row대전광역시 동구 산내로1287번길 50-13(낭월동)
5th row대전광역시 동구 백룡로57번길 106-10(자양동)
ValueCountFrequency (%)
대전광역시 41
20.9%
동구 41
20.9%
동부로 4
 
2.0%
판암동 4
 
2.0%
삼성동 4
 
2.0%
가양동 3
 
1.5%
56-34 3
 
1.5%
산내로 3
 
1.5%
계족로 2
 
1.0%
학고개로 2
 
1.0%
Other values (85) 89
45.4%
2023-12-12T19:45:06.676483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
14.2%
동 90
 
8.2%
대 51
 
4.6%
전 48
 
4.4%
1 43
 
3.9%
구 42
 
3.8%
( 41
 
3.7%
) 41
 
3.7%
시 41
 
3.7%
역 41
 
3.7%
Other values (81) 505
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
55.5%
Decimal Number 214
 
19.5%
Space Separator 156
 
14.2%
Open Punctuation 41
 
3.7%
Close Punctuation 41
 
3.7%
Dash Punctuation 21
 
1.9%
Other Punctuation 16
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 90
14.8%
대 51
 
8.4%
전 48
 
7.9%
구 42
 
6.9%
시 41
 
6.7%
역 41
 
6.7%
광 41
 
6.7%
로 39
 
6.4%
길 20
 
3.3%
번 18
 
3.0%
Other values (66) 179
29.3%
Decimal Number
ValueCountFrequency (%)
1 43
20.1%
0 26
12.1%
4 26
12.1%
5 23
10.7%
2 23
10.7%
3 19
8.9%
6 15
 
7.0%
9 14
 
6.5%
7 14
 
6.5%
8 11
 
5.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
55.5%
Common 489
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 90
14.8%
대 51
 
8.4%
전 48
 
7.9%
구 42
 
6.9%
시 41
 
6.7%
역 41
 
6.7%
광 41
 
6.7%
로 39
 
6.4%
길 20
 
3.3%
번 18
 
3.0%
Other values (66) 179
29.3%
Common
ValueCountFrequency (%)
156
31.9%
1 43
 
8.8%
( 41
 
8.4%
) 41
 
8.4%
0 26
 
5.3%
4 26
 
5.3%
5 23
 
4.7%
2 23
 
4.7%
- 21
 
4.3%
3 19
 
3.9%
Other values (5) 70
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
55.5%
ASCII 489
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
31.9%
1 43
 
8.8%
( 41
 
8.4%
) 41
 
8.4%
0 26
 
5.3%
4 26
 
5.3%
5 23
 
4.7%
2 23
 
4.7%
- 21
 
4.3%
3 19
 
3.9%
Other values (5) 70
14.3%
Hangul
ValueCountFrequency (%)
동 90
14.8%
대 51
 
8.4%
전 48
 
7.9%
구 42
 
6.9%
시 41
 
6.7%
역 41
 
6.7%
광 41
 
6.7%
로 39
 
6.4%
길 20
 
3.3%
번 18
 
3.0%
Other values (66) 179
29.3%

전화번호
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing1
Missing (%)2.4%
Memory size460.0 B
2023-12-12T19:45:07.032688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.075
Min length12

Characters and Unicode

Total characters483
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

Unique38 ?
Unique (%)95.0%

Sample

1st row042-624-4297
2nd row042-253-8001
3rd row042-274-1130
4th row042-341-1130
5th row042-625-2055
ValueCountFrequency (%)
042-285-0030 2
 
5.0%
042-626-2374 1
 
2.5%
042-524-0591 1
 
2.5%
042-283-2223 1
 
2.5%
042-286-9190 1
 
2.5%
070-8613-8336 1
 
2.5%
070-4145-8046 1
 
2.5%
042-285-0028 1
 
2.5%
042-383-7072 1
 
2.5%
042-632-0691 1
 
2.5%
Other values (29) 29
72.5%
2023-12-12T19:45:07.532186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 85
17.6%
2 85
17.6%
- 80
16.6%
4 57
11.8%
8 34
 
7.0%
3 32
 
6.6%
6 29
 
6.0%
7 26
 
5.4%
1 26
 
5.4%
5 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 403
83.4%
Dash Punctuation 80
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
21.1%
2 85
21.1%
4 57
14.1%
8 34
 
8.4%
3 32
 
7.9%
6 29
 
7.2%
7 26
 
6.5%
1 26
 
6.5%
5 16
 
4.0%
9 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 483
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 85
17.6%
2 85
17.6%
- 80
16.6%
4 57
11.8%
8 34
 
7.0%
3 32
 
6.6%
6 29
 
6.0%
7 26
 
5.4%
1 26
 
5.4%
5 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 483
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 85
17.6%
2 85
17.6%
- 80
16.6%
4 57
11.8%
8 34
 
7.0%
3 32
 
6.6%
6 29
 
6.0%
7 26
 
5.4%
1 26
 
5.4%
5 16
 
3.3%

종사자
Categorical

Distinct12
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1명
13 
3명
8 
4명
4 
6명
3 
5명
3 
Other values (7)
10 

Length

Max length3
Median length2
Mean length2.097561
Min length2

Unique

Unique5 ?
Unique (%)12.2%

Sample

1st row12명
2nd row32명
3rd row7명
4th row6명
5th row5명

Common Values

ValueCountFrequency (%)
1명 13
31.7%
3명 8
19.5%
4명 4
 
9.8%
6명 3
 
7.3%
5명 3
 
7.3%
2명 3
 
7.3%
8명 2
 
4.9%
12명 1
 
2.4%
32명 1
 
2.4%
7명 1
 
2.4%
Other values (2) 2
 
4.9%

Length

2023-12-12T19:45:07.748473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1명 13
31.7%
3명 8
19.5%
4명 4
 
9.8%
6명 3
 
7.3%
5명 3
 
7.3%
2명 3
 
7.3%
8명 2
 
4.9%
12명 1
 
2.4%
32명 1
 
2.4%
7명 1
 
2.4%
Other values (2) 2
 
4.9%

Interactions

2023-12-12T19:45:03.743534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:45:07.867920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지전화번호종사자
연번1.0001.0000.9260.9020.599
시설명1.0001.0001.0001.0001.000
소재지0.9261.0001.0001.0000.000
전화번호0.9021.0001.0001.0000.903
종사자0.5991.0000.0000.9031.000
2023-12-12T19:45:08.016056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자
연번1.0000.250
종사자0.2501.000

Missing values

2023-12-12T19:45:03.923301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:45:04.077917image/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

연번시설명소재지전화번호종사자
01사랑의 집대전광역시 동구 백룡로14번길 9-10(자양동)042-624-429712명
12하 람대전광역시 동구 대흥로202번길 32(인동)042-253-800132명
23해바라기대전광역시 동구 산내로400번길 200(상소동)042-274-11307명
34참 사 랑대전광역시 동구 산내로1287번길 50-13(낭월동)042-341-11306명
45파란나무대전광역시 동구 백룡로57번길 106-10(자양동)042-625-20555명
56루루대전광역시 동구 계족로 499, 5층(용전동)042-626-10863명
67한우리쉼터신상동대전광역시 동구 옥천로653번길 175-9(신상동)042-273-64901명
78한우리쉼터용운동대전광역시 동구 용운로 80, 308-403(용운동, 용방마을아파트)042-283-64901명
89에벤에셀의집대전광역시 동구 너더리3길 21(판암동)042-283-77431명
910주사랑 쉼터대전광역시 동구 대전로542번길 121,316-301(천동, 위드힐아파트)042-274-31931명
연번시설명소재지전화번호종사자
3132동그라미주간보호센터대전광역시 동구 산내로 495 (상소동)042-272-05082명
3233대전광역시수어통역센터지역본부대전광역시 동구 중앙로200번길 66, 2층205호 (원동)042-673-15188명
3334판암보호작업장대전광역시 동구 동부로 56-34 (판암동)042-285-00308명
3435탄탄재활작업장대전광역시 동구 산내로 1396-37 (대성동)042-285-00846명
3536거북이보호작업장대전광역시 동구 보문로 4, 2층201호(효동)070-8291-80705명
3637루루장애인직업재활센터대전광역시 동구 계족로 499, 루루빌딩 1층(용전동)042-622-10863명
3738다솜장애인보호작업장대전광역시 동구 동대전로 286, 2층 (가양동)042-635-60112명
3839아름드리직업훈련시설대전광역시 동구 산내로 497(상소동)<NA>2명
3940장애아동재활지원센터대전광역시 동구 동부로 56-34 (판암동)042-285-00304명
4041보문장애인자립생활지원센터대전광역시 동구 옥천로176번길 15-4, 2층(판암동)042-286-71714명