Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory53.5 B

Variable types

Text2
Categorical4

Dataset

Description경기도교육청평화교육원에서 계획한 연수 및 교육일정 정보 (연수 및 교육 과정명, 연수 및 교육 대상, 연수 및 교육 인원, 연수 및 교육 기간, 연수 및 교육 일수, 연수 및 교육 형태)
URLhttps://www.data.go.kr/data/3054855/fileData.do

Alerts

대상 is highly overall correlated with 시간 and 1 other fieldsHigh correlation
인원 is highly overall correlated with 시간 and 1 other fieldsHigh correlation
시간 is highly overall correlated with 대상 and 2 other fieldsHigh correlation
형태 is highly overall correlated with 대상 and 2 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 06:50:30.158681
Analysis finished2023-12-12 06:50:30.652433
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과 정 명
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T15:50:30.762152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.708333
Min length17

Characters and Unicode

Total characters449
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st row학생주도미래학교 교육과정 핵심요원 직무연수
2nd row학생주도미래학교 교육과정 핵심요원 직무연수
3rd row학생주도미래학교 교육과정 핵심요원 직무연수
4th row학생주도미래학교 교육과정 핵심요원 직무연수
5th row학생주도미래학교 실천가 직무연수 1기
ValueCountFrequency (%)
학생주도미래학교 24
30.8%
학교자율형 10
12.8%
교육원협력형 8
 
10.3%
직무연수 6
 
7.7%
핵심요원 4
 
5.1%
교육과정 4
 
5.1%
1기 3
 
3.8%
2기 3
 
3.8%
6기 2
 
2.6%
8기 2
 
2.6%
Other values (7) 12
15.4%
2023-12-12T15:50:31.135218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 58
12.9%
56
12.5%
교 46
 
10.2%
래 24
 
5.3%
생 24
 
5.3%
미 24
 
5.3%
도 24
 
5.3%
주 24
 
5.3%
기 20
 
4.5%
형 18
 
4.0%
Other values (28) 131
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
82.9%
Space Separator 56
 
12.5%
Decimal Number 21
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 58
15.6%
교 46
12.4%
래 24
 
6.5%
생 24
 
6.5%
미 24
 
6.5%
도 24
 
6.5%
주 24
 
6.5%
기 20
 
5.4%
형 18
 
4.8%
원 12
 
3.2%
Other values (17) 98
26.3%
Decimal Number
ValueCountFrequency (%)
1 4
19.0%
2 3
14.3%
6 2
9.5%
8 2
9.5%
7 2
9.5%
5 2
9.5%
4 2
9.5%
3 2
9.5%
9 1
 
4.8%
0 1
 
4.8%
Space Separator
ValueCountFrequency (%)
56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
82.9%
Common 77
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 58
15.6%
교 46
12.4%
래 24
 
6.5%
생 24
 
6.5%
미 24
 
6.5%
도 24
 
6.5%
주 24
 
6.5%
기 20
 
5.4%
형 18
 
4.8%
원 12
 
3.2%
Other values (17) 98
26.3%
Common
ValueCountFrequency (%)
56
72.7%
1 4
 
5.2%
2 3
 
3.9%
6 2
 
2.6%
8 2
 
2.6%
7 2
 
2.6%
5 2
 
2.6%
4 2
 
2.6%
3 2
 
2.6%
9 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
82.9%
ASCII 77
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 58
15.6%
교 46
12.4%
래 24
 
6.5%
생 24
 
6.5%
미 24
 
6.5%
도 24
 
6.5%
주 24
 
6.5%
기 20
 
5.4%
형 18
 
4.8%
원 12
 
3.2%
Other values (17) 98
26.3%
ASCII
ValueCountFrequency (%)
56
72.7%
1 4
 
5.2%
2 3
 
3.9%
6 2
 
2.6%
8 2
 
2.6%
7 2
 
2.6%
5 2
 
2.6%
4 2
 
2.6%
3 2
 
2.6%
9 1
 
1.3%

대상
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
학생
18 
교사
3 
교장
 
1
장학관,연구관
 
1
교감
 
1

Length

Max length7
Median length2
Mean length2.2083333
Min length2

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row교장
2nd row장학관,연구관
3rd row교감
4th row교사
5th row교사

Common Values

ValueCountFrequency (%)
학생 18
75.0%
교사 3
 
12.5%
교장 1
 
4.2%
장학관,연구관 1
 
4.2%
교감 1
 
4.2%

Length

2023-12-12T15:50:31.285923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:50:31.429245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학생 18
75.0%
교사 3
 
12.5%
교장 1
 
4.2%
장학관,연구관 1
 
4.2%
교감 1
 
4.2%

인원
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
미정
10 
35
3 
40
2 
50
2 
45
 
1
Other values (6)
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique7 ?
Unique (%)29.2%

Sample

1st row35
2nd row40
3rd row40
4th row45
5th row29

Common Values

ValueCountFrequency (%)
미정 10
41.7%
35 3
 
12.5%
40 2
 
8.3%
50 2
 
8.3%
45 1
 
4.2%
29 1
 
4.2%
34 1
 
4.2%
41 1
 
4.2%
55 1
 
4.2%
42 1
 
4.2%

Length

2023-12-12T15:50:31.572532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미정 10
41.7%
35 3
 
12.5%
40 2
 
8.3%
50 2
 
8.3%
45 1
 
4.2%
29 1
 
4.2%
34 1
 
4.2%
41 1
 
4.2%
55 1
 
4.2%
42 1
 
4.2%

기간
Text

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T15:50:31.735883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length9.6666667
Min length7

Characters and Unicode

Total characters232
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

Unique17 ?
Unique (%)70.8%

Sample

1st row01-30~02-01
2nd row2023-04
3rd row2023-05
4th row2023-08~2023-12
5th row02-07~02-10
ValueCountFrequency (%)
2023-04 3
 
12.5%
2023-09 2
 
8.3%
2023-06 2
 
8.3%
08-22~08-25 1
 
4.2%
01-30~02-01 1
 
4.2%
2023-10 1
 
4.2%
2023-07 1
 
4.2%
2023-05~2023-06 1
 
4.2%
10-17~10-20 1
 
4.2%
09-19~09-22 1
 
4.2%
Other values (10) 10
41.7%
2023-12-12T15:50:32.105158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
25.9%
2 48
20.7%
- 37
15.9%
3 21
 
9.1%
1 17
 
7.3%
~ 13
 
5.6%
6 9
 
3.9%
9 7
 
3.0%
7 6
 
2.6%
5 6
 
2.6%
Other values (2) 8
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
78.4%
Dash Punctuation 37
 
15.9%
Math Symbol 13
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
33.0%
2 48
26.4%
3 21
 
11.5%
1 17
 
9.3%
6 9
 
4.9%
9 7
 
3.8%
7 6
 
3.3%
5 6
 
3.3%
4 4
 
2.2%
8 4
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
25.9%
2 48
20.7%
- 37
15.9%
3 21
 
9.1%
1 17
 
7.3%
~ 13
 
5.6%
6 9
 
3.9%
9 7
 
3.0%
7 6
 
2.6%
5 6
 
2.6%
Other values (2) 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
25.9%
2 48
20.7%
- 37
15.9%
3 21
 
9.1%
1 17
 
7.3%
~ 13
 
5.6%
6 9
 
3.9%
9 7
 
3.0%
7 6
 
2.6%
5 6
 
2.6%
Other values (2) 8
 
3.4%

시간
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
미정
10 
32시간
8 
20시간
3 
30시간
2 
40시간
 
1

Length

Max length4
Median length4
Mean length3.1666667
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row20시간
2nd row20시간
3rd row20시간
4th row30시간
5th row30시간

Common Values

ValueCountFrequency (%)
미정 10
41.7%
32시간 8
33.3%
20시간 3
 
12.5%
30시간 2
 
8.3%
40시간 1
 
4.2%

Length

2023-12-12T15:50:32.247897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:50:32.403352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 10
41.7%
32시간 8
33.3%
20시간 3
 
12.5%
30시간 2
 
8.3%
40시간 1
 
4.2%

형태
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
온·오프 융합활동
10 
숙박
8 
집합연수
5 
온라인& 집합연수
 
1

Length

Max length9
Median length4
Mean length5.625
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row집합연수
2nd row집합연수
3rd row집합연수
4th row온라인& 집합연수
5th row집합연수

Common Values

ValueCountFrequency (%)
온·오프 융합활동 10
41.7%
숙박 8
33.3%
집합연수 5
20.8%
온라인& 집합연수 1
 
4.2%

Length

2023-12-12T15:50:32.571492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:50:32.694362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온·오프 10
28.6%
융합활동 10
28.6%
숙박 8
22.9%
집합연수 6
17.1%
온라인 1
 
2.9%

Correlations

2023-12-12T15:50:32.788768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과 정 명대상인원기간시간형태
과 정 명1.0000.0000.6800.8720.4660.000
대상0.0001.0000.7350.7150.9300.602
인원0.6800.7351.0000.9820.9700.965
기간0.8720.7150.9821.0000.9780.980
시간0.4660.9300.9700.9781.0000.880
형태0.0000.6020.9650.9800.8801.000
2023-12-12T15:50:32.916658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
형태인원시간대상
형태1.0000.7530.8490.510
인원0.7531.0000.7690.411
시간0.8490.7691.0000.628
대상0.5100.4110.6281.000
2023-12-12T15:50:33.030683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상인원시간형태
대상1.0000.4110.6280.510
인원0.4111.0000.7690.753
시간0.6280.7691.0000.849
형태0.5100.7530.8491.000

Missing values

2023-12-12T15:50:30.501323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:50:30.610654image/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

과 정 명대상인원기간시간형태
0학생주도미래학교 교육과정 핵심요원 직무연수교장3501-30~02-0120시간집합연수
1학생주도미래학교 교육과정 핵심요원 직무연수장학관,연구관402023-0420시간집합연수
2학생주도미래학교 교육과정 핵심요원 직무연수교감402023-0520시간집합연수
3학생주도미래학교 교육과정 핵심요원 직무연수교사452023-08~2023-1230시간온라인& 집합연수
4학생주도미래학교 실천가 직무연수 1기교사2902-07~02-1030시간집합연수
5학생주도미래학교 실천가 직무연수 2기교사342023-02~2023-1040시간집합연수
6교육원협력형 학생주도미래학교 1기학생4105-23~05-2632시간숙박
7교육원협력형 학생주도미래학교 2기학생5506-13~06-1632시간숙박
8교육원협력형 학생주도미래학교 3기학생5006-27~06-3032시간숙박
9교육원협력형 학생주도미래학교 4기학생4207-11~07-1432시간숙박
과 정 명대상인원기간시간형태
14학교자율형 학생주도미래학교 1기학생미정2023-04미정온·오프 융합활동
15학교자율형 학생주도미래학교 2기학생미정2023-04미정온·오프 융합활동
16학교자율형 학생주도미래학교 3기학생미정2023-05~2023-06미정온·오프 융합활동
17학교자율형 학생주도미래학교 4기학생미정2023-06미정온·오프 융합활동
18학교자율형 학생주도미래학교 5기학생미정2023-06미정온·오프 융합활동
19학교자율형 학생주도미래학교 6기학생미정2023-07미정온·오프 융합활동
20학교자율형 학생주도미래학교 7기학생미정2023-09미정온·오프 융합활동
21학교자율형 학생주도미래학교 8기학생미정2023-09미정온·오프 융합활동
22학교자율형 학생주도미래학교 9기학생미정2023-10미정온·오프 융합활동
23학교자율형 학생주도미래학교 10기학생미정2023-11미정온·오프 융합활동