Overview

Dataset statistics

Number of variables4
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory34.2 B

Variable types

Categorical2
Text2

Dataset

Description2024년도 대구광역시 서구 주민 대상 정보화교육 일정에 대한 데이터로, 월별 교육과정, 교육일정 및 시간에 대한 데이터입니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/3072423/fileData.do

Reproduction

Analysis started2024-04-21 02:47:30.760786
Analysis finished2024-04-21 02:47:32.440928
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운영시기
Categorical

Distinct11
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2월
8 
7월
8 
10월
8 
4월
6 
8월
6 
Other values (6)
25 

Length

Max length3
Median length2
Mean length2.1967213
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1월
2nd row1월
3rd row1월
4th row1월
5th row2월

Common Values

ValueCountFrequency (%)
2월 8
13.1%
7월 8
13.1%
10월 8
13.1%
4월 6
9.8%
8월 6
9.8%
5월 5
8.2%
1월 4
6.6%
3월 4
6.6%
6월 4
6.6%
9월 4
6.6%

Length

2024-04-21T11:47:32.506747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2월 8
13.1%
7월 8
13.1%
10월 8
13.1%
4월 6
9.8%
8월 6
9.8%
5월 5
8.2%
1월 4
6.6%
3월 4
6.6%
6월 4
6.6%
9월 4
6.6%

과정명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-21T11:47:32.713813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length14.114754
Min length10

Characters and Unicode

Total characters861
Distinct characters97
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

Unique59 ?
Unique (%)96.7%

Sample

1st row컴퓨터기초반(1기)
2nd row인터넷 사용방법(1기)
3rd row사진 편집하기(1기)
4th row카카오톡 활용하기(1기)
5th row엑셀 초급반(1기)
ValueCountFrequency (%)
한글 9
 
6.0%
엑셀 7
 
4.6%
파워포인트 7
 
4.6%
itq 6
 
4.0%
컴퓨터 6
 
4.0%
인터넷 4
 
2.6%
카카오톡 4
 
2.6%
스마트폰 4
 
2.6%
버스정보앱을 3
 
2.0%
사용 3
 
2.0%
Other values (57) 98
64.9%
2024-04-21T11:47:33.120396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
10.5%
기 84
 
9.8%
) 63
 
7.3%
( 62
 
7.2%
반 32
 
3.7%
용 23
 
2.7%
1 21
 
2.4%
2 20
 
2.3%
급 17
 
2.0%
초 16
 
1.9%
Other values (87) 433
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 550
63.9%
Space Separator 90
 
10.5%
Close Punctuation 63
 
7.3%
Open Punctuation 62
 
7.2%
Decimal Number 59
 
6.9%
Uppercase Letter 31
 
3.6%
Other Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 84
 
15.3%
반 32
 
5.8%
용 23
 
4.2%
급 17
 
3.1%
초 16
 
2.9%
활 13
 
2.4%
인 13
 
2.4%
스 12
 
2.2%
사 12
 
2.2%
한 12
 
2.2%
Other values (72) 316
57.5%
Decimal Number
ValueCountFrequency (%)
1 21
35.6%
2 20
33.9%
3 11
18.6%
4 6
 
10.2%
5 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
T 8
25.8%
I 8
25.8%
Q 6
19.4%
S 6
19.4%
N 3
 
9.7%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
/ 3
50.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 550
63.9%
Common 280
32.5%
Latin 31
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 84
 
15.3%
반 32
 
5.8%
용 23
 
4.2%
급 17
 
3.1%
초 16
 
2.9%
활 13
 
2.4%
인 13
 
2.4%
스 12
 
2.2%
사 12
 
2.2%
한 12
 
2.2%
Other values (72) 316
57.5%
Common
ValueCountFrequency (%)
90
32.1%
) 63
22.5%
( 62
22.1%
1 21
 
7.5%
2 20
 
7.1%
3 11
 
3.9%
4 6
 
2.1%
, 3
 
1.1%
/ 3
 
1.1%
5 1
 
0.4%
Latin
ValueCountFrequency (%)
T 8
25.8%
I 8
25.8%
Q 6
19.4%
S 6
19.4%
N 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 550
63.9%
ASCII 311
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
28.9%
) 63
20.3%
( 62
19.9%
1 21
 
6.8%
2 20
 
6.4%
3 11
 
3.5%
T 8
 
2.6%
I 8
 
2.6%
Q 6
 
1.9%
4 6
 
1.9%
Other values (5) 16
 
5.1%
Hangul
ValueCountFrequency (%)
기 84
 
15.3%
반 32
 
5.8%
용 23
 
4.2%
급 17
 
3.1%
초 16
 
2.9%
활 13
 
2.4%
인 13
 
2.4%
스 12
 
2.2%
사 12
 
2.2%
한 12
 
2.2%
Other values (72) 316
57.5%

교육기간
Text

Distinct31
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-21T11:47:33.315166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters671
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

Unique1 ?
Unique (%)1.6%

Sample

1st row01-15~01-26
2nd row01-15~01-26
3rd row01-29~01-31
4th row01-29~01-31
5th row02-01~02-08
ValueCountFrequency (%)
01-15~01-26 2
 
3.3%
07-01~07-12 2
 
3.3%
11-01~11-15 2
 
3.3%
10-23~10-31 2
 
3.3%
10-15~10-16 2
 
3.3%
10-14~10-14 2
 
3.3%
10-01~10-11 2
 
3.3%
09-19~09-30 2
 
3.3%
09-02~09-13 2
 
3.3%
08-19~08-30 2
 
3.3%
Other values (21) 41
67.2%
2024-04-21T11:47:33.610340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
22.4%
- 122
18.2%
1 110
16.4%
~ 61
9.1%
2 58
 
8.6%
3 36
 
5.4%
5 24
 
3.6%
9 24
 
3.6%
8 23
 
3.4%
4 22
 
3.3%
Other values (2) 41
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 488
72.7%
Dash Punctuation 122
 
18.2%
Math Symbol 61
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
30.7%
1 110
22.5%
2 58
 
11.9%
3 36
 
7.4%
5 24
 
4.9%
9 24
 
4.9%
8 23
 
4.7%
4 22
 
4.5%
7 21
 
4.3%
6 20
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Math Symbol
ValueCountFrequency (%)
~ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 671
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
22.4%
- 122
18.2%
1 110
16.4%
~ 61
9.1%
2 58
 
8.6%
3 36
 
5.4%
5 24
 
3.6%
9 24
 
3.6%
8 23
 
3.4%
4 22
 
3.3%
Other values (2) 41
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 671
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
22.4%
- 122
18.2%
1 110
16.4%
~ 61
9.1%
2 58
 
8.6%
3 36
 
5.4%
5 24
 
3.6%
9 24
 
3.6%
8 23
 
3.4%
4 22
 
3.3%
Other values (2) 41
 
6.1%

교육시간
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
10:00 ~ 12:00
31 
13:30 ~ 15:30
25 
16:00 ~ 18:00
5 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10:00 ~ 12:00
2nd row16:00 ~ 18:00
3rd row10:00 ~ 12:00
4th row16:00 ~ 18:00
5th row10:00 ~ 12:00

Common Values

ValueCountFrequency (%)
10:00 ~ 12:00 31
50.8%
13:30 ~ 15:30 25
41.0%
16:00 ~ 18:00 5
 
8.2%

Length

2024-04-21T11:47:33.731927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:47:33.827425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
61
33.3%
10:00 31
16.9%
12:00 31
16.9%
13:30 25
13.7%
15:30 25
13.7%
16:00 5
 
2.7%
18:00 5
 
2.7%

Correlations

2024-04-21T11:47:33.897914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시기과정명교육기간교육시간
운영시기1.0000.9711.0000.289
과정명0.9711.0000.9850.000
교육기간1.0000.9851.0000.000
교육시간0.2890.0000.0001.000
2024-04-21T11:47:33.990056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시기교육시간
운영시기1.0000.155
교육시간0.1551.000
2024-04-21T11:47:34.073673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시기교육시간
운영시기1.0000.155
교육시간0.1551.000

Missing values

2024-04-21T11:47:32.289032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:47:32.408298image/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

운영시기과정명교육기간교육시간
01월컴퓨터기초반(1기)01-15~01-2610:00 ~ 12:00
11월인터넷 사용방법(1기)01-15~01-2616:00 ~ 18:00
21월사진 편집하기(1기)01-29~01-3110:00 ~ 12:00
31월카카오톡 활용하기(1기)01-29~01-3116:00 ~ 18:00
42월엑셀 초급반(1기)02-01~02-0810:00 ~ 12:00
52월나만의 SNS만들기(1기)02-01~02-0813:30 ~ 15:30
62월스마트폰 활용(1기)02-13~02-2310:00 ~ 12:00
72월한글 초급반(1기)02-13~02-2313:30 ~ 15:30
82월모바일 금융서비스 이용 및 금융사기 예방법(1기)02-26~02-2710:00 ~ 12:00
92월공공배달/생활앱 사용 방법(1기)02-26~02-2713:30 ~ 15:30
운영시기과정명교육기간교육시간
5110월지도앱, 버스정보앱을 이용한 길 찾아가기(3기)10-14~10-1410:00 ~ 12:00
5210월모바일 금융서비스 이용 및 금융사기 예방법(3기)10-14~10-1413:30 ~ 15:30
5310월카카오톡 활용하기(4기)10-15~10-1610:00 ~ 12:00
5410월사진 편집하기(2기)10-15~10-1613:30 ~ 15:30
5510월컴퓨터 기초반(5기)10-23~10-3110:00 ~ 12:00
5610월나만의 SNS만들기(3기)10-23~10-3113:30 ~ 15:30
5711월한글 초급반(4기)11-01~11-1510:00 ~ 12:00
5811월엑셀 초급반(4기)11-01~11-1513:30 ~ 15:30
5911월스마트폰 활용(4기)11-18~11-2910:00 ~ 12:00
6011월인터넷 사용방법(4기)11-18~11-2913:30 ~ 15:30