Overview

Dataset statistics

Number of variables4
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory35.3 B

Variable types

Text3
Categorical1

Dataset

Description대전광역시 지역의 0세 전용 어린이집 현황에 대한 데이터로 어린이집 명칭, 소재지, 유형, 전화번호 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15063223/fileData.do

Alerts

명칭 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:26:57.450740
Analysis finished2023-12-12 16:26:57.790971
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T01:26:57.955063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.55
Min length2

Characters and Unicode

Total characters142
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row스마트뷰
2nd row꽃뜰
3rd row보물섬
4th row아이맘
5th row한사랑
ValueCountFrequency (%)
스마트뷰 1
 
2.5%
꽃뜰 1
 
2.5%
예솔 1
 
2.5%
아기둥지 1
 
2.5%
꿈에그린아이숲 1
 
2.5%
솔방울 1
 
2.5%
문평 1
 
2.5%
브레인아이 1
 
2.5%
아이뜰 1
 
2.5%
이지 1
 
2.5%
Other values (30) 30
75.0%
2023-12-13T01:26:58.324510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
9.2%
아 11
 
7.7%
린 4
 
2.8%
그 4
 
2.8%
랑 4
 
2.8%
리 4
 
2.8%
푸 3
 
2.1%
른 3
 
2.1%
사 3
 
2.1%
꿈 3
 
2.1%
Other values (73) 90
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
9.2%
아 11
 
7.7%
린 4
 
2.8%
그 4
 
2.8%
랑 4
 
2.8%
리 4
 
2.8%
푸 3
 
2.1%
른 3
 
2.1%
사 3
 
2.1%
꿈 3
 
2.1%
Other values (73) 90
63.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
9.2%
아 11
 
7.7%
린 4
 
2.8%
그 4
 
2.8%
랑 4
 
2.8%
리 4
 
2.8%
푸 3
 
2.1%
른 3
 
2.1%
사 3
 
2.1%
꿈 3
 
2.1%
Other values (73) 90
63.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
9.2%
아 11
 
7.7%
린 4
 
2.8%
그 4
 
2.8%
랑 4
 
2.8%
리 4
 
2.8%
푸 3
 
2.1%
른 3
 
2.1%
사 3
 
2.1%
꿈 3
 
2.1%
Other values (73) 90
63.4%

소재지
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T01:26:58.641067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40.5
Mean length35.275
Min length25

Characters and Unicode

Total characters1411
Distinct characters129
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

Unique40 ?
Unique (%)100.0%

Sample

1st row대전광역시 동구 성남로 15, 스마트뷰아파트 (성남동)
2nd row대전광역시 동구 대전로 664, 105동 104호(인동, 현대아파트)
3rd row대전광역시 동구 대전로542번길 121, 315동 102호(천동,위드힐)
4th row대전광역시 동구 대전로542번길 78-1, 201동 104호(천동, 휴먼시아2단지)
5th row대전광역시 동구 우암로311번길 24(가양동)
ValueCountFrequency (%)
대전광역시 40
 
16.1%
유성구 9
 
3.6%
중구 9
 
3.6%
동구 8
 
3.2%
서구 8
 
3.2%
대덕구 7
 
2.8%
104동 5
 
2.0%
15 4
 
1.6%
대덕대로 4
 
1.6%
102호 4
 
1.6%
Other values (132) 151
60.6%
2023-12-13T01:26:59.096296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
 
14.8%
1 106
 
7.5%
동 70
 
5.0%
대 64
 
4.5%
0 62
 
4.4%
, 53
 
3.8%
전 46
 
3.3%
구 42
 
3.0%
시 41
 
2.9%
로 40
 
2.8%
Other values (119) 678
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
53.6%
Decimal Number 334
23.7%
Space Separator 209
 
14.8%
Other Punctuation 53
 
3.8%
Open Punctuation 28
 
2.0%
Close Punctuation 28
 
2.0%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
9.2%
대 64
 
8.5%
전 46
 
6.1%
구 42
 
5.5%
시 41
 
5.4%
로 40
 
5.3%
역 40
 
5.3%
광 40
 
5.3%
호 32
 
4.2%
아 16
 
2.1%
Other values (104) 326
43.1%
Decimal Number
ValueCountFrequency (%)
1 106
31.7%
0 62
18.6%
5 39
 
11.7%
3 27
 
8.1%
4 25
 
7.5%
2 24
 
7.2%
6 18
 
5.4%
8 17
 
5.1%
7 11
 
3.3%
9 5
 
1.5%
Space Separator
ValueCountFrequency (%)
209
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
53.6%
Common 654
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
9.2%
대 64
 
8.5%
전 46
 
6.1%
구 42
 
5.5%
시 41
 
5.4%
로 40
 
5.3%
역 40
 
5.3%
광 40
 
5.3%
호 32
 
4.2%
아 16
 
2.1%
Other values (104) 326
43.1%
Common
ValueCountFrequency (%)
209
32.0%
1 106
16.2%
0 62
 
9.5%
, 53
 
8.1%
5 39
 
6.0%
( 28
 
4.3%
) 28
 
4.3%
3 27
 
4.1%
4 25
 
3.8%
2 24
 
3.7%
Other values (5) 53
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 757
53.6%
ASCII 654
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
32.0%
1 106
16.2%
0 62
 
9.5%
, 53
 
8.1%
5 39
 
6.0%
( 28
 
4.3%
) 28
 
4.3%
3 27
 
4.1%
4 25
 
3.8%
2 24
 
3.7%
Other values (5) 53
 
8.1%
Hangul
ValueCountFrequency (%)
동 70
 
9.2%
대 64
 
8.5%
전 46
 
6.1%
구 42
 
5.5%
시 41
 
5.4%
로 40
 
5.3%
역 40
 
5.3%
광 40
 
5.3%
호 32
 
4.2%
아 16
 
2.1%
Other values (104) 326
43.1%

유형
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
가정
33 
민간
4 
국공립
 
3

Length

Max length3
Median length2
Mean length2.075
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간
2nd row가정
3rd row가정
4th row가정
5th row민간

Common Values

ValueCountFrequency (%)
가정 33
82.5%
민간 4
 
10.0%
국공립 3
 
7.5%

Length

2023-12-13T01:26:59.272770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:26:59.383134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 33
82.5%
민간 4
 
10.0%
국공립 3
 
7.5%

전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T01:26:59.606893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique40 ?
Unique (%)100.0%

Sample

1st row042-638-1233
2nd row042-286-5539
3rd row042-283-5500
4th row042-272-1234
5th row042-635-8415
ValueCountFrequency (%)
042-638-1233 1
 
2.5%
042-286-5539 1
 
2.5%
042-625-6878 1
 
2.5%
042-824-5475 1
 
2.5%
042-826-5901 1
 
2.5%
042-932-4200 1
 
2.5%
042-933-4488 1
 
2.5%
042-933-4279 1
 
2.5%
042-936-7946 1
 
2.5%
042-935-5577 1
 
2.5%
Other values (30) 30
75.0%
2023-12-13T01:26:59.988307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 85
17.7%
- 80
16.7%
4 68
14.2%
0 62
12.9%
8 38
7.9%
5 35
7.3%
3 34
 
7.1%
6 25
 
5.2%
1 21
 
4.4%
9 17
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 85
21.2%
4 68
17.0%
0 62
15.5%
8 38
9.5%
5 35
8.8%
3 34
 
8.5%
6 25
 
6.2%
1 21
 
5.2%
9 17
 
4.2%
7 15
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 85
17.7%
- 80
16.7%
4 68
14.2%
0 62
12.9%
8 38
7.9%
5 35
7.3%
3 34
 
7.1%
6 25
 
5.2%
1 21
 
4.4%
9 17
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 85
17.7%
- 80
16.7%
4 68
14.2%
0 62
12.9%
8 38
7.9%
5 35
7.3%
3 34
 
7.1%
6 25
 
5.2%
1 21
 
4.4%
9 17
 
3.5%

Correlations

2023-12-13T01:27:00.075327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭소재지유형전화번호
명칭1.0001.0001.0001.000
소재지1.0001.0001.0001.000
유형1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T01:26:57.676329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:26:57.761495image/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

명칭소재지유형전화번호
0스마트뷰대전광역시 동구 성남로 15, 스마트뷰아파트 (성남동)민간042-638-1233
1꽃뜰대전광역시 동구 대전로 664, 105동 104호(인동, 현대아파트)가정042-286-5539
2보물섬대전광역시 동구 대전로542번길 121, 315동 102호(천동,위드힐)가정042-283-5500
3아이맘대전광역시 동구 대전로542번길 78-1, 201동 104호(천동, 휴먼시아2단지)가정042-272-1234
4한사랑대전광역시 동구 우암로311번길 24(가양동)민간042-635-8415
5그린코아대전광역시 동구 동부로10번길 55, 104동 103호(판암동, 삼정그린코아)가정042-285-0140
6늘사랑대전광역시 중구 태평로 65, 31동 14호(태평동, 삼부아파트3단지)가정042-524-8291
7아이꿈대전광역시 중구 대흥로 176-15, 6동 103호(현대아파트)가정042-255-4560
8꼬마별대전광역시 중구 중앙로 45, 104동 101호(선화동, 센트럴뷰)가정042-321-7352
9으능정이대전광역시 중구 중구 대종로488번길 9 (은행동)국공립042-721-1261
명칭소재지유형전화번호
30큰별대전광역시 동구 대학로50번길 53, 104동 103호가정042-283-3778
31그린키즈대전광역시 중구 서문로 32, 108동 102호가정042-582-3260
32삼성푸른대전광역시 중구 계룡로 852, 1동 106호가정042-528-0231
33아이세상대전광역시 중구 태평로 15, 116동 101호가정042-536-0936
34예그랑대전광역시 서구 관저로 83, 213동 104호가정042-543-6007
35호반숲대전광역시 서구 원도안로 100, 110동 102호가정042-541-1020
36리틀베어대전광역시 유성구 노은서로210번길 32, 406동 101호가정042-826-4279
37신영대전광역시 유성구 학하남로 10, 211동 104호가정042-825-3362
38튼튼이대전광역시 대덕구 동춘당로114번길 60, 307동 105호가정042-632-9581
39봄봄어린이집대전광역시 대덕구 대덕대로 1587, 104동 102호가정042-932-3100