Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory891.0 B
Average record size in memory38.7 B

Variable types

Text3
Categorical1

Dataset

Description2023년 한밭도서관 시민정보화 교육 과정 안내입니다. - 시민 정보화 교육 - 디지털 창작 교육 - KT협력 사업 AI코딩 교육 등
Author대전광역시
URLhttps://www.data.go.kr/data/15077202/fileData.do

Alerts

강좌명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:02:12.453877
Analysis finished2023-12-12 19:02:12.892676
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T04:02:13.137125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.043478
Min length13

Characters and Unicode

Total characters415
Distinct characters120
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row가족 오조봇 코딩 교실(1기)
2nd row가족 오조봇 코딩 교실(2기)
3rd row메타버스 게더타운 크리에이터
4th row가족 AI 코딩 교실(1기)
5th row스마트폰 기초와 모바일 뱅킹
ValueCountFrequency (%)
가족 6
 
6.7%
코딩 6
 
6.7%
오조봇 4
 
4.5%
스마트폰 3
 
3.4%
차근차근 3
 
3.4%
배워보는 3
 
3.4%
교실(1기 3
 
3.4%
즐거운 2
 
2.2%
쉽게 2
 
2.2%
문서 2
 
2.2%
Other values (52) 55
61.8%
2023-12-13T04:02:13.632879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
15.9%
기 21
 
5.1%
) 15
 
3.6%
( 15
 
3.6%
스 10
 
2.4%
코 9
 
2.2%
딩 9
 
2.2%
1 8
 
1.9%
차 7
 
1.7%
근 6
 
1.4%
Other values (110) 249
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
69.9%
Space Separator 66
 
15.9%
Decimal Number 21
 
5.1%
Close Punctuation 15
 
3.6%
Open Punctuation 15
 
3.6%
Uppercase Letter 7
 
1.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 21
 
7.2%
스 10
 
3.4%
코 9
 
3.1%
딩 9
 
3.1%
차 7
 
2.4%
근 6
 
2.1%
가 6
 
2.1%
로 6
 
2.1%
교 6
 
2.1%
보 6
 
2.1%
Other values (95) 204
70.3%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
2 6
28.6%
0 2
 
9.5%
8 2
 
9.5%
3 2
 
9.5%
4 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
R 2
28.6%
A 2
28.6%
D 1
14.3%
I 1
14.3%
V 1
14.3%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
69.9%
Common 118
28.4%
Latin 7
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 21
 
7.2%
스 10
 
3.4%
코 9
 
3.1%
딩 9
 
3.1%
차 7
 
2.4%
근 6
 
2.1%
가 6
 
2.1%
로 6
 
2.1%
교 6
 
2.1%
보 6
 
2.1%
Other values (95) 204
70.3%
Common
ValueCountFrequency (%)
66
55.9%
) 15
 
12.7%
( 15
 
12.7%
1 8
 
6.8%
2 6
 
5.1%
0 2
 
1.7%
8 2
 
1.7%
3 2
 
1.7%
4 1
 
0.8%
/ 1
 
0.8%
Latin
ValueCountFrequency (%)
R 2
28.6%
A 2
28.6%
D 1
14.3%
I 1
14.3%
V 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
69.9%
ASCII 125
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
52.8%
) 15
 
12.0%
( 15
 
12.0%
1 8
 
6.4%
2 6
 
4.8%
0 2
 
1.6%
8 2
 
1.6%
R 2
 
1.6%
3 2
 
1.6%
A 2
 
1.6%
Other values (5) 5
 
4.0%
Hangul
ValueCountFrequency (%)
기 21
 
7.2%
스 10
 
3.4%
코 9
 
3.1%
딩 9
 
3.1%
차 7
 
2.4%
근 6
 
2.1%
가 6
 
2.1%
로 6
 
2.1%
교 6
 
2.1%
보 6
 
2.1%
Other values (95) 204
70.3%

모집기간
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T04:02:13.899071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters253
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)56.5%

Sample

1st row01-14~02-03
2nd row01-14~02-03
3rd row02-14~02-28
4th row02-10~03-03
5th row02-22~03-08
ValueCountFrequency (%)
01-14~02-03 2
 
8.7%
03-22~04-05 2
 
8.7%
07-14~08-04 2
 
8.7%
10-18~11-01 2
 
8.7%
03-02~03-16 2
 
8.7%
06-14~06-28 1
 
4.3%
05-16~06-08 1
 
4.3%
09-20~10-11 1
 
4.3%
08-16~08-30 1
 
4.3%
07-05~07-19 1
 
4.3%
Other values (8) 8
34.8%
2023-12-13T04:02:14.320870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 66
26.1%
- 46
18.2%
1 33
13.0%
~ 23
 
9.1%
2 19
 
7.5%
3 15
 
5.9%
4 14
 
5.5%
6 10
 
4.0%
8 10
 
4.0%
5 7
 
2.8%
Other values (2) 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 184
72.7%
Dash Punctuation 46
 
18.2%
Math Symbol 23
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
35.9%
1 33
17.9%
2 19
 
10.3%
3 15
 
8.2%
4 14
 
7.6%
6 10
 
5.4%
8 10
 
5.4%
5 7
 
3.8%
7 7
 
3.8%
9 3
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 66
26.1%
- 46
18.2%
1 33
13.0%
~ 23
 
9.1%
2 19
 
7.5%
3 15
 
5.9%
4 14
 
5.5%
6 10
 
4.0%
8 10
 
4.0%
5 7
 
2.8%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 66
26.1%
- 46
18.2%
1 33
13.0%
~ 23
 
9.1%
2 19
 
7.5%
3 15
 
5.9%
4 14
 
5.5%
6 10
 
4.0%
8 10
 
4.0%
5 7
 
2.8%
Other values (2) 10
 
4.0%

교육기간
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T04:02:14.609962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length15.478261
Min length8

Characters and Unicode

Total characters356
Distinct characters19
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

Unique19 ?
Unique (%)82.6%

Sample

1st row02-10(금)
2nd row02-17(금)
3rd row03-07(화)~03-17(금)
4th row03-10(금)~03-17(금)
5th row03-21(화)~03-31(금)
ValueCountFrequency (%)
11-07(화)~11-17(금 2
 
8.7%
03-21(화)~03-31(금 2
 
8.7%
06-15(목)~06-16(금 1
 
4.3%
06-13(화)~06-23(금 1
 
4.3%
11-04(토)~11-25(토 1
 
4.3%
10-17(화)~10-27(금 1
 
4.3%
09-05(화)~09-15(금 1
 
4.3%
08-18(금 1
 
4.3%
08-11(금 1
 
4.3%
07-25(화)~08-04(금 1
 
4.3%
Other values (11) 11
47.8%
2023-12-13T04:02:15.033393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
14.0%
- 42
11.8%
( 42
11.8%
) 42
11.8%
1 40
11.2%
금 22
 
6.2%
~ 19
 
5.3%
3 14
 
3.9%
7 14
 
3.9%
화 13
 
3.7%
Other values (9) 58
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
47.2%
Dash Punctuation 42
 
11.8%
Open Punctuation 42
 
11.8%
Close Punctuation 42
 
11.8%
Other Letter 42
 
11.8%
Math Symbol 19
 
5.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
29.8%
1 40
23.8%
3 14
 
8.3%
7 14
 
8.3%
2 13
 
7.7%
4 11
 
6.5%
5 8
 
4.8%
8 7
 
4.2%
6 6
 
3.6%
9 5
 
3.0%
Other Letter
ValueCountFrequency (%)
금 22
52.4%
화 13
31.0%
토 6
 
14.3%
목 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 314
88.2%
Hangul 42
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
15.9%
- 42
13.4%
( 42
13.4%
) 42
13.4%
1 40
12.7%
~ 19
 
6.1%
3 14
 
4.5%
7 14
 
4.5%
2 13
 
4.1%
4 11
 
3.5%
Other values (5) 27
8.6%
Hangul
ValueCountFrequency (%)
금 22
52.4%
화 13
31.0%
토 6
 
14.3%
목 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 314
88.2%
Hangul 42
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
15.9%
- 42
13.4%
( 42
13.4%
) 42
13.4%
1 40
12.7%
~ 19
 
6.1%
3 14
 
4.5%
7 14
 
4.5%
2 13
 
4.1%
4 11
 
3.5%
Other values (5) 27
8.6%
Hangul
ValueCountFrequency (%)
금 22
52.4%
화 13
31.0%
토 6
 
14.3%
목 1
 
2.4%

모집인원
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
10
14 
20
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row20
4th row10
5th row20

Common Values

ValueCountFrequency (%)
10 14
60.9%
20 9
39.1%

Length

2023-12-13T04:02:15.234906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:15.353028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 14
60.9%
20 9
39.1%

Correlations

2023-12-13T04:02:15.416937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌명모집기간교육기간모집인원
강좌명1.0001.0001.0001.000
모집기간1.0001.0000.9170.000
교육기간1.0000.9171.0000.000
모집인원1.0000.0000.0001.000

Missing values

2023-12-13T04:02:12.735715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:02:12.850873image/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

강좌명모집기간교육기간모집인원
0가족 오조봇 코딩 교실(1기)01-14~02-0302-10(금)10
1가족 오조봇 코딩 교실(2기)01-14~02-0302-17(금)10
2메타버스 게더타운 크리에이터02-14~02-2803-07(화)~03-17(금)20
3가족 AI 코딩 교실(1기)02-10~03-0303-10(금)~03-17(금)10
4스마트폰 기초와 모바일 뱅킹02-22~03-0803-21(화)~03-31(금)20
5미리캔버스로 쉽게 카드뉴스와 발표자료 만들기03-02~03-1603-18(토)~04-08(토)20
6프리미어를 활용한 영상제작 기초03-02~03-1603-21(화)~03-31(금)10
7즐거운 코딩놀이(플레이보드) 1기03-22~04-0504-08(토)~04-29(토)10
8한글2018로 멋진 문서 만들기(1기)03-22~04-0504-11(화)~04-21(금)20
9가족 AR/VR 코딩 교실(1기)03-17~04-0704-14(금)~04-21(금)10
강좌명모집기간교육기간모집인원
13차근차근 배워보는 키오스크 사용법05-16~06-0806-15(목)~06-16(금)10
143D 프린터 배우기(틴커캐드)06-14~06-2807-04(화)~07-07(금)10
15코딩으로 자동차만들기(스크래치)07-05~07-1907-25(화)~08-04(금)10
16가족 오조봇 코딩 교실(3기)07-14~08-0408-11(금)10
17가족 오조봇 코딩 교실(4기)07-14~08-0408-18(금)10
18블로그 제작 운영과 인스타그램 연계08-16~08-3009-05(화)~09-15(금)20
19스마트폰으로 사진편집 및 영상제작하기09-20~10-1110-17(화)~10-27(금)20
20즐거운 코딩놀이(플레이보드) 2기10-18~11-0111-04(토)~11-25(토)10
21한글2018로 멋진 문서 만들기(2기)10-18~11-0111-07(화)~11-17(금)20
22차근차근 배워보는 스마트폰 사용법(2기)10-06~10-3011-07(화)~11-17(금)10