Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory49.3 B

Variable types

Numeric2
Categorical2
Text1

Dataset

Description한국기술교육대학교 온라인평생교육원 스마트 직업훈련 플랫폼 (STEP)에 대한 과목 그룹 테이블과 관련된 내용을 제공합니다.
Author한국기술교육대학교
URLhttps://www.data.go.kr/data/15091107/fileData.do

Alerts

관련기관 아이디 has constant value ""Constant
시스템 코드 has constant value ""Constant
아이디 has unique valuesUnique
역할명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:35:15.330880
Analysis finished2023-12-12 14:35:16.464886
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.380952
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:35:16.519707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q113
median20
Q330
95-th percentile55
Maximum58
Range55
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.976471
Coefficient of variation (CV)0.68331138
Kurtosis-0.058829414
Mean23.380952
Median Absolute Deviation (MAD)10
Skewness0.81251278
Sum491
Variance255.24762
MonotonicityStrictly increasing
2023-12-12T23:35:16.638319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3 1
 
4.8%
4 1
 
4.8%
58 1
 
4.8%
55 1
 
4.8%
46 1
 
4.8%
40 1
 
4.8%
34 1
 
4.8%
30 1
 
4.8%
29 1
 
4.8%
27 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
3 1
4.8%
4 1
4.8%
6 1
4.8%
7 1
4.8%
10 1
4.8%
13 1
4.8%
14 1
4.8%
15 1
4.8%
16 1
4.8%
17 1
4.8%
ValueCountFrequency (%)
58 1
4.8%
55 1
4.8%
46 1
4.8%
40 1
4.8%
34 1
4.8%
30 1
4.8%
29 1
4.8%
27 1
4.8%
25 1
4.8%
22 1
4.8%

관련기관 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 21
100.0%

Length

2023-12-12T23:35:16.770349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:16.857564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
100.0%

시스템 코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
LMS
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLMS
2nd rowLMS
3rd rowLMS
4th rowLMS
5th rowLMS

Common Values

ValueCountFrequency (%)
LMS 21
100.0%

Length

2023-12-12T23:35:16.944800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:17.031012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lms 21
100.0%

역할 코드
Real number (ℝ)

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.047619
Minimum10
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:35:17.107914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median12
Q320
95-th percentile30
Maximum30
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.5381663
Coefficient of variation (CV)0.4344984
Kurtosis0.58286223
Mean15.047619
Median Absolute Deviation (MAD)2
Skewness1.2774922
Sum316
Variance42.747619
MonotonicityNot monotonic
2023-12-12T23:35:17.208145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
10 7
33.3%
12 6
28.6%
20 3
14.3%
30 2
 
9.5%
11 1
 
4.8%
21 1
 
4.8%
22 1
 
4.8%
ValueCountFrequency (%)
10 7
33.3%
11 1
 
4.8%
12 6
28.6%
20 3
14.3%
21 1
 
4.8%
22 1
 
4.8%
30 2
 
9.5%
ValueCountFrequency (%)
30 2
 
9.5%
22 1
 
4.8%
21 1
 
4.8%
20 3
14.3%
12 6
28.6%
11 1
 
4.8%
10 7
33.3%

역할명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:35:17.376773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.4285714
Min length3

Characters and Unicode

Total characters198
Distinct characters88
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

Unique21 ?
Unique (%)100.0%

Sample

1st row위탁기관 관리자 계정(일반 기업맞춤)
2nd row일반 교강사
3rd row유지보수업무담당
4th row감사전용 관리자
5th row홈페이지 정보 입력 관리자
ValueCountFrequency (%)
관리자 7
 
14.9%
일반 5
 
10.6%
asp 2
 
4.3%
미운영 1
 
2.1%
운영 1
 
2.1%
도우미 1
 
2.1%
강사 1
 
2.1%
내용전문가 1
 
2.1%
관리자(과정 1
 
2.1%
자체 1
 
2.1%
Other values (26) 26
55.3%
2023-12-12T23:35:17.692207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
13.1%
관 10
 
5.1%
자 10
 
5.1%
리 9
 
4.5%
일 6
 
3.0%
사 6
 
3.0%
반 6
 
3.0%
( 4
 
2.0%
) 4
 
2.0%
용 4
 
2.0%
Other values (78) 113
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
74.2%
Space Separator 26
 
13.1%
Uppercase Letter 13
 
6.6%
Open Punctuation 4
 
2.0%
Close Punctuation 4
 
2.0%
Lowercase Letter 3
 
1.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 10
 
6.8%
자 10
 
6.8%
리 9
 
6.1%
일 6
 
4.1%
사 6
 
4.1%
반 6
 
4.1%
용 4
 
2.7%
정 4
 
2.7%
업 3
 
2.0%
인 3
 
2.0%
Other values (63) 86
58.5%
Uppercase Letter
ValueCountFrequency (%)
P 3
23.1%
S 2
15.4%
A 2
15.4%
K 1
 
7.7%
C 1
 
7.7%
H 1
 
7.7%
R 1
 
7.7%
D 1
 
7.7%
I 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
74.2%
Common 35
 
17.7%
Latin 16
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 10
 
6.8%
자 10
 
6.8%
리 9
 
6.1%
일 6
 
4.1%
사 6
 
4.1%
반 6
 
4.1%
용 4
 
2.7%
정 4
 
2.7%
업 3
 
2.0%
인 3
 
2.0%
Other values (63) 86
58.5%
Latin
ValueCountFrequency (%)
P 3
18.8%
S 2
12.5%
o 2
12.5%
A 2
12.5%
K 1
 
6.2%
C 1
 
6.2%
p 1
 
6.2%
H 1
 
6.2%
R 1
 
6.2%
D 1
 
6.2%
Common
ValueCountFrequency (%)
26
74.3%
( 4
 
11.4%
) 4
 
11.4%
, 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
74.2%
ASCII 51
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
51.0%
( 4
 
7.8%
) 4
 
7.8%
P 3
 
5.9%
S 2
 
3.9%
o 2
 
3.9%
A 2
 
3.9%
K 1
 
2.0%
C 1
 
2.0%
p 1
 
2.0%
Other values (5) 5
 
9.8%
Hangul
ValueCountFrequency (%)
관 10
 
6.8%
자 10
 
6.8%
리 9
 
6.1%
일 6
 
4.1%
사 6
 
4.1%
반 6
 
4.1%
용 4
 
2.7%
정 4
 
2.7%
업 3
 
2.0%
인 3
 
2.0%
Other values (63) 86
58.5%

Interactions

2023-12-12T23:35:15.723888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:35:15.482936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:35:16.179838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:35:15.599317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:35:17.815805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디역할 코드역할명
아이디1.0000.0001.000
역할 코드0.0001.0001.000
역할명1.0001.0001.000
2023-12-12T23:35:17.919528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디역할 코드
아이디1.0000.169
역할 코드0.1691.000

Missing values

2023-12-12T23:35:16.319669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:35:16.425324image/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

아이디관련기관 아이디시스템 코드역할 코드역할명
031LMS12위탁기관 관리자 계정(일반 기업맞춤)
141LMS20일반 교강사
261LMS10유지보수업무담당
371LMS10감사전용 관리자
4101LMS12홈페이지 정보 입력 관리자
5131LMS11테스트
6141LMS10계정 관리자
7151LMS10일반 관리자
8161LMS30일반 CP
9171LMS10설문조사 담당 관리자
아이디관련기관 아이디시스템 코드역할 코드역할명
11221LMS21일반 튜터
12251LMS22일반 운영 도우미
13271LMS20ASP 강사
14291LMS30내용전문가
15301LMS12ASP 관리자(과정 자체 미운영)
16341LMS10통계 확인용
17401LMS12집합훈련 원격 대체 관리자
18461LMS20임시강사(과목확인용)
19551LMS10학습모니터링
20581LMS12스마트제조고급인력양성사업