Overview

Dataset statistics

Number of variables3
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory26.4 B

Variable types

Text2
Categorical1

Dataset

Description시설명,전화번호,동
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-12642/S/1/datasetView.do

Alerts

시설명 has unique valuesUnique

Reproduction

Analysis started2024-05-11 05:31:24.702076
Analysis finished2024-05-11 05:31:25.210547
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-11T14:31:25.502799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16.5
Mean length12.25
Min length3

Characters and Unicode

Total characters686
Distinct characters158
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row강동그린나래복지센터(강동구 장애인 보호작업장)
2nd row아이티어빌리티센터 장애인보호작업장
3rd row성지 장애인보호작업장
4th row직업재능개발센터(장애인직업적응훈련시설)
5th row아이비 장애인보호작업장
ValueCountFrequency (%)
장애인보호작업장 9
 
9.0%
장애인공동생활가정 4
 
4.0%
장애인단기거주시설 3
 
3.0%
특수학급 3
 
3.0%
아이비 3
 
3.0%
주몽학교 2
 
2.0%
성분도 2
 
2.0%
장애인주간보호시설 2
 
2.0%
한국구화학교 2
 
2.0%
강동 2
 
2.0%
Other values (65) 68
68.0%
2024-05-11T14:31:26.284228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
7.1%
42
 
6.1%
31
 
4.5%
30
 
4.4%
19
 
2.8%
16
 
2.3%
16
 
2.3%
16
 
2.3%
15
 
2.2%
15
 
2.2%
Other values (148) 437
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 616
89.8%
Space Separator 49
 
7.1%
Lowercase Letter 6
 
0.9%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Uppercase Letter 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
6.8%
31
 
5.0%
30
 
4.9%
19
 
3.1%
16
 
2.6%
16
 
2.6%
16
 
2.6%
15
 
2.4%
15
 
2.4%
15
 
2.4%
Other values (133) 401
65.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
16.7%
y 1
16.7%
m 1
16.7%
e 1
16.7%
d 1
16.7%
a 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
M 1
20.0%
E 1
20.0%
T 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 4
80.0%
1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 616
89.8%
Common 59
 
8.6%
Latin 11
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
6.8%
31
 
5.0%
30
 
4.9%
19
 
3.1%
16
 
2.6%
16
 
2.6%
16
 
2.6%
15
 
2.4%
15
 
2.4%
15
 
2.4%
Other values (133) 401
65.1%
Latin
ValueCountFrequency (%)
A 2
18.2%
M 1
9.1%
E 1
9.1%
c 1
9.1%
T 1
9.1%
y 1
9.1%
m 1
9.1%
e 1
9.1%
d 1
9.1%
a 1
9.1%
Common
ValueCountFrequency (%)
49
83.1%
) 4
 
6.8%
( 4
 
6.8%
1
 
1.7%
1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 616
89.8%
ASCII 68
 
9.9%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
72.1%
) 4
 
5.9%
( 4
 
5.9%
A 2
 
2.9%
M 1
 
1.5%
E 1
 
1.5%
c 1
 
1.5%
T 1
 
1.5%
y 1
 
1.5%
m 1
 
1.5%
Other values (3) 3
 
4.4%
Hangul
ValueCountFrequency (%)
42
 
6.8%
31
 
5.0%
30
 
4.9%
19
 
3.1%
16
 
2.6%
16
 
2.6%
16
 
2.6%
15
 
2.4%
15
 
2.4%
15
 
2.4%
Other values (133) 401
65.1%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-11T14:31:26.705535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.375
Min length11

Characters and Unicode

Total characters637
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

Unique54 ?
Unique (%)96.4%

Sample

1st row070-4837-4550
2nd row02-470-1374
3rd row02-481-8666
4th row02-6933-9940
5th row02-484-3825
ValueCountFrequency (%)
02-440-5200 2
 
3.6%
02-428-0874 1
 
1.8%
02-797-3369 1
 
1.8%
02-442-8666 1
 
1.8%
02-472-3832 1
 
1.8%
02-474-3825 1
 
1.8%
02-429-5200 1
 
1.8%
02-470-2301 1
 
1.8%
02-471-4032 1
 
1.8%
02-471-5448 1
 
1.8%
Other values (45) 45
80.4%
2024-05-11T14:31:27.332311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 112
17.6%
0 110
17.3%
2 99
15.5%
4 85
13.3%
8 50
7.8%
7 42
 
6.6%
3 39
 
6.1%
5 35
 
5.5%
1 26
 
4.1%
6 21
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 525
82.4%
Dash Punctuation 112
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
21.0%
2 99
18.9%
4 85
16.2%
8 50
9.5%
7 42
 
8.0%
3 39
 
7.4%
5 35
 
6.7%
1 26
 
5.0%
6 21
 
4.0%
9 18
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 637
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 112
17.6%
0 110
17.3%
2 99
15.5%
4 85
13.3%
8 50
7.8%
7 42
 
6.6%
3 39
 
6.1%
5 35
 
5.5%
1 26
 
4.1%
6 21
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 112
17.6%
0 110
17.3%
2 99
15.5%
4 85
13.3%
8 50
7.8%
7 42
 
6.6%
3 39
 
6.1%
5 35
 
5.5%
1 26
 
4.1%
6 21
 
3.3%


Categorical

Distinct20
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
상일동
고덕1동
천호2동
고덕2동
길동
Other values (15)
28 

Length

Max length4
Median length4
Mean length3.625
Min length2

Unique

Unique6 ?
Unique (%)10.7%

Sample

1st row암사1동
2nd row암사1동
3rd row고덕2동
4th row성내2동
5th row천호2동

Common Values

ValueCountFrequency (%)
상일동 7
12.5%
고덕1동 6
10.7%
천호2동 5
 
8.9%
고덕2동 5
 
8.9%
길동 5
 
8.9%
암사1동 3
 
5.4%
성내2동 3
 
5.4%
성내1동 3
 
5.4%
천호1동 3
 
5.4%
둔촌1동 2
 
3.6%
Other values (10) 14
25.0%

Length

2024-05-11T14:31:27.613419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상일동 7
12.5%
고덕1동 6
10.7%
천호2동 5
 
8.9%
고덕2동 5
 
8.9%
길동 5
 
8.9%
암사1동 3
 
5.4%
성내2동 3
 
5.4%
성내1동 3
 
5.4%
천호1동 3
 
5.4%
강일동 2
 
3.6%
Other values (10) 14
25.0%

Correlations

2024-05-11T14:31:27.768194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명전화번호
시설명1.0001.0001.000
전화번호1.0001.0001.000
1.0001.0001.000

Missing values

2024-05-11T14:31:25.014311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:31:25.158041image/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

시설명전화번호
0강동그린나래복지센터(강동구 장애인 보호작업장)070-4837-4550암사1동
1아이티어빌리티센터 장애인보호작업장02-470-1374암사1동
2성지 장애인보호작업장02-481-8666고덕2동
3직업재능개발센터(장애인직업적응훈련시설)02-6933-9940성내2동
4아이비 장애인보호작업장02-484-3825천호2동
5동안우리복지센터 장애인보호작업장02-473-0558성내1동
6주몽학교070-8255-0500상일동
7한국구화학교02-428-0873고덕2동
8한국점자도서관(햇빛 도서관)02-3426-7411암사2동
9한국시각장애인복지회 점자도서관02-440-5200상일동
시설명전화번호
46성분도 장애인복지관031-799-0303타지역
47파란마음복지센터 장애인보호작업장02-487-4548길동
48서울장애인종합복지관 보호작업장02-440-5880고덕1동
49행복정신건강센터02-426-0981명일2동
50소망드림복지센터 장애인보호작업장02-426-2577길동
51사랑쉼터의 집02-428-7422상일동
52홀트강동복지관02-2251-6110강일동
53홀트주간보호02-2251-6120강일동
54강동구 수어통역센터02-488-3754성내1동
55강동구장애인가족지원센터02-6959-4439상일2동