Overview

Dataset statistics

Number of variables6
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory51.0 B

Variable types

Categorical5
Text1

Dataset

Description울산광역시 북구 평생교육관에서 시행하는 정보화교육에 대한 일정울 안내하는 데이터(프로그래명, 대상/인원, 접수기간, 교육기간, 교육장소) 입니다.
URLhttps://www.data.go.kr/data/3076025/fileData.do

Alerts

구분 is highly overall correlated with 프로그램명High correlation
프로그램명 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
대상_인원 is highly overall correlated with 프로그램명High correlation
교육장소 is highly overall correlated with 프로그램명High correlation
교육장소 is highly imbalanced (73.3%)Imbalance

Reproduction

Analysis started2023-12-12 02:38:36.822042
Analysis finished2023-12-12 02:38:37.416652
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
초급
16 
자격증
16 
중급
10 
원데이 특강

Length

Max length6
Median length2
Mean length2.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초급
2nd row초급
3rd row초급
4th row초급
5th row중급

Common Values

ValueCountFrequency (%)
초급 16
36.4%
자격증 16
36.4%
중급 10
22.7%
원데이 특강 2
 
4.5%

Length

2023-12-12T11:38:37.516099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:38:37.676850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초급 16
34.8%
자격증 16
34.8%
중급 10
21.7%
원데이 2
 
4.3%
특강 2
 
4.3%

프로그램명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
컴퓨터 첫걸음
컴퓨터활용능력 2급(실기)
컴퓨터 왕초보반
컴퓨터활용능력 2급
기초에서 실무까지(PPT&한글)
Other values (13)
24 

Length

Max length29
Median length15
Mean length13.863636
Min length7

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row컴퓨터 첫걸음
2nd row컴퓨터 왕초보반
3rd row기초에서 실무까지(PPT&한글)
4th row스마트폰 완전 정복하기
5th row미리캔버스로 쉽게하는 SNS디자인(블로그&인스타그램)

Common Values

ValueCountFrequency (%)
컴퓨터 첫걸음 4
 
9.1%
컴퓨터활용능력 2급(실기) 4
 
9.1%
컴퓨터 왕초보반 4
 
9.1%
컴퓨터활용능력 2급 4
 
9.1%
기초에서 실무까지(PPT&한글) 4
 
9.1%
미리캔버스로 쉽게하는 SNS디자인(블로그&인스타그램) 4
 
9.1%
쉽게 따라하는 스마트폰 기초 2
 
4.5%
ITQ엑셀 자격증 2
 
4.5%
나도 스마트폰 전문가 2
 
4.5%
나도 유튜버! 스마트폰으로 동영상 제작하기 2
 
4.5%
Other values (8) 12
27.3%

Length

2023-12-12T11:38:37.845347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
컴퓨터 8
 
7.0%
컴퓨터활용능력 8
 
7.0%
스마트폰 8
 
7.0%
나도 6
 
5.3%
쉽게 4
 
3.5%
제작하기 4
 
3.5%
동영상 4
 
3.5%
유튜버 4
 
3.5%
첫걸음 4
 
3.5%
itq엑셀 4
 
3.5%
Other values (22) 60
52.6%

대상_인원
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
누구나_25명
25 
누구나_30명
누구나_20명
누구나_15명

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row누구나_15명
2nd row누구나_20명
3rd row누구나_30명
4th row누구나_30명
5th row누구나_30명

Common Values

ValueCountFrequency (%)
누구나_25명 25
56.8%
누구나_30명 9
 
20.5%
누구나_20명 6
 
13.6%
누구나_15명 4
 
9.1%

Length

2023-12-12T11:38:37.979775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:38:38.127907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
누구나_25명 25
56.8%
누구나_30명 9
 
20.5%
누구나_20명 6
 
13.6%
누구나_15명 4
 
9.1%

접수기간
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
06-02 ~ 06-28
13 
03-02 ~ 03-31
11 
09-01 ~ 09-30
10 
12-02 ~ 12-30
10 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row06-02 ~ 06-28
2nd row06-02 ~ 06-28
3rd row06-02 ~ 06-28
4th row06-02 ~ 06-28
5th row06-02 ~ 06-28

Common Values

ValueCountFrequency (%)
06-02 ~ 06-28 13
29.5%
03-02 ~ 03-31 11
25.0%
09-01 ~ 09-30 10
22.7%
12-02 ~ 12-30 10
22.7%

Length

2023-12-12T11:38:38.270601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:38:38.403404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44
33.3%
06-02 13
 
9.8%
06-28 13
 
9.8%
03-02 11
 
8.3%
03-31 11
 
8.3%
09-01 10
 
7.6%
09-30 10
 
7.6%
12-02 10
 
7.6%
12-30 10
 
7.6%
Distinct39
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T11:38:38.590772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters572
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)77.3%

Sample

1st row08-16 ~ 09-20
2nd row07-07 ~ 09-01
3rd row07-21 ~ 09-15
4th row07-07 ~ 09-15
5th row07-04 ~ 09-26
ValueCountFrequency (%)
44
33.3%
10-06 4
 
3.0%
04-06 4
 
3.0%
07-01 3
 
2.3%
01-12 3
 
2.3%
07-04 3
 
2.3%
04-07 2
 
1.5%
07-06 2
 
1.5%
03-24 2
 
1.5%
04-10 2
 
1.5%
Other values (50) 63
47.7%
2023-12-12T11:38:38.952531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 123
21.5%
- 88
15.4%
88
15.4%
1 73
12.8%
~ 44
 
7.7%
2 31
 
5.4%
6 30
 
5.2%
7 24
 
4.2%
4 21
 
3.7%
3 17
 
3.0%
Other values (3) 33
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
61.5%
Dash Punctuation 88
 
15.4%
Space Separator 88
 
15.4%
Math Symbol 44
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
34.9%
1 73
20.7%
2 31
 
8.8%
6 30
 
8.5%
7 24
 
6.8%
4 21
 
6.0%
3 17
 
4.8%
9 16
 
4.5%
5 11
 
3.1%
8 6
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 572
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 123
21.5%
- 88
15.4%
88
15.4%
1 73
12.8%
~ 44
 
7.7%
2 31
 
5.4%
6 30
 
5.2%
7 24
 
4.2%
4 21
 
3.7%
3 17
 
3.0%
Other values (3) 33
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 123
21.5%
- 88
15.4%
88
15.4%
1 73
12.8%
~ 44
 
7.7%
2 31
 
5.4%
6 30
 
5.2%
7 24
 
4.2%
4 21
 
3.7%
3 17
 
3.0%
Other values (3) 33
 
5.8%

교육장소
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
평생학습관 4층 IT룸
42 
평생학습관 4층 학습누림터
 
2

Length

Max length14
Median length12
Mean length12.090909
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평생학습관 4층 IT룸
2nd row평생학습관 4층 IT룸
3rd row평생학습관 4층 IT룸
4th row평생학습관 4층 학습누림터
5th row평생학습관 4층 IT룸

Common Values

ValueCountFrequency (%)
평생학습관 4층 IT룸 42
95.5%
평생학습관 4층 학습누림터 2
 
4.5%

Length

2023-12-12T11:38:39.142919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:38:39.299438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평생학습관 44
33.3%
4층 44
33.3%
it룸 42
31.8%
학습누림터 2
 
1.5%

Correlations

2023-12-12T11:38:39.402608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분프로그램명대상_인원접수기간교육기간교육장소
구분1.0001.0000.7550.0000.9840.192
프로그램명1.0001.0000.9140.0000.8271.000
대상_인원0.7550.9141.0000.8030.9690.000
접수기간0.0000.0000.8031.0001.0000.000
교육기간0.9840.8270.9691.0001.0001.000
교육장소0.1921.0000.0000.0001.0001.000
2023-12-12T11:38:39.521604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분대상_인원프로그램명교육장소접수기간
구분1.0000.3910.8060.1180.000
대상_인원0.3911.0000.6160.0000.442
프로그램명0.8060.6161.0000.7870.000
교육장소0.1180.0000.7871.0000.000
접수기간0.0000.4420.0000.0001.000
2023-12-12T11:38:39.626740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분프로그램명대상_인원접수기간교육장소
구분1.0000.8060.3910.0000.118
프로그램명0.8061.0000.6160.0000.787
대상_인원0.3910.6161.0000.4420.000
접수기간0.0000.0000.4421.0000.000
교육장소0.1180.7870.0000.0001.000

Missing values

2023-12-12T11:38:37.187601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:38:37.362686image/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

구분프로그램명대상_인원접수기간교육기간교육장소
0초급컴퓨터 첫걸음누구나_15명06-02 ~ 06-2808-16 ~ 09-20평생학습관 4층 IT룸
1초급컴퓨터 왕초보반누구나_20명06-02 ~ 06-2807-07 ~ 09-01평생학습관 4층 IT룸
2초급기초에서 실무까지(PPT&한글)누구나_30명06-02 ~ 06-2807-21 ~ 09-15평생학습관 4층 IT룸
3초급스마트폰 완전 정복하기누구나_30명06-02 ~ 06-2807-07 ~ 09-15평생학습관 4층 학습누림터
4중급미리캔버스로 쉽게하는 SNS디자인(블로그&인스타그램)누구나_30명06-02 ~ 06-2807-04 ~ 09-26평생학습관 4층 IT룸
5중급나도 유튜버! 동영상 제작하기누구나_30명06-02 ~ 06-2807-04 ~ 09-05평생학습관 4층 IT룸
6중급블록코딩&메타버스 맛보기누구나_30명06-02 ~ 06-2807-04 ~ 09-26평생학습관 4층 IT룸
7자격증스마트폰 활용지도사누구나_30명06-02 ~ 06-2807-01 ~ 09-16평생학습관 4층 IT룸
8자격증ITQ엑셀 자격증(기초)누구나_30명06-02 ~ 06-2807-01 ~ 09-23평생학습관 4층 IT룸
9자격증컴퓨터활용능력 2급누구나_30명06-02 ~ 06-2807-01 ~ 09-23평생학습관 4층 IT룸
구분프로그램명대상_인원접수기간교육기간교육장소
34초급컴퓨터 왕초보반누구나_20명03-02 ~ 03-3104-06 ~ 05-25평생학습관 4층 IT룸
35초급기초에서 실무까지(PPT&한글)누구나_25명03-02 ~ 03-3104-07 ~ 06-16평생학습관 4층 IT룸
36초급쉽게 따라하는 스마트폰 기초누구나_25명03-02 ~ 03-3104-06 ~ 06-08평생학습관 4층 IT룸
37중급미리캔버스로 쉽게하는 SNS디자인(블로그&인스타그램)누구나_25명03-02 ~ 03-3104-10 ~ 06-19평생학습관 4층 IT룸
38중급나도 유튜버! 스마트폰으로 동영상 제작하기누구나_25명03-02 ~ 03-3104-10 ~ 06-05평생학습관 4층 IT룸
39중급블록코딩&메타버스 체험누구나_25명03-02 ~ 03-3104-11 ~ 05-30평생학습관 4층 IT룸
40자격증나도 스마트폰 전문가누구나_25명03-02 ~ 03-3104-07 ~ 06-16평생학습관 4층 IT룸
41자격증ITQ엑셀 자격증누구나_25명03-02 ~ 03-3104-06 ~ 06-22평생학습관 4층 IT룸
42자격증컴퓨터활용능력 2급누구나_25명03-02 ~ 03-3104-06 ~ 06-23평생학습관 4층 IT룸
43자격증컴퓨터활용능력 2급(실기)누구나_25명03-02 ~ 03-3104-08 ~ 06-03평생학습관 4층 IT룸