Overview

Dataset statistics

Number of variables15
Number of observations1361
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory172.9 KiB
Average record size in memory130.1 B

Variable types

Numeric3
Categorical7
Boolean5

Dataset

Description한국기술교육대학교 온라인평생교육원 스마트 직업훈련 플랫폼 (STEP)에 대한 LMS 학기 평가 정책 관련 내용을 제공합니다.
Author한국기술교육대학교
URLhttps://www.data.go.kr/data/15090864/fileData.do

Alerts

퀴즈 패스 점수 has constant value ""Constant
포럼 패스 점수 has constant value ""Constant
라이브 세미나 패스 점수 has constant value ""Constant
출석 콘텐츠 시간 비율 has constant value ""Constant
출석 만점 점수 has constant value ""Constant
미응시 퀴즈 허용 여부 has constant value ""Constant
미응시 포럼 허용 여부 has constant value ""Constant
미응시 라이브 세미나 허용 여부 has constant value ""Constant
누적 패스 점수 is highly overall correlated with 시험 패스 점수High correlation
출석 패스 점수 is highly overall correlated with 시험 패스 점수 and 1 other fieldsHigh correlation
시험 패스 점수 is highly overall correlated with 누적 패스 점수 and 1 other fieldsHigh correlation
미응시 시험 허용 여부 is highly overall correlated with 출석 패스 점수High correlation
시험 패스 점수 is highly imbalanced (90.0%)Imbalance
과제 패스 점수 is highly imbalanced (99.1%)Imbalance
미응시 시험 허용 여부 is highly imbalanced (89.4%)Imbalance
미응시 과제 허용 여부 is highly imbalanced (97.7%)Imbalance
학기 아이디 has unique valuesUnique
출석 패스 점수 has 1258 (92.4%) zerosZeros

Reproduction

Analysis started2023-12-12 13:45:44.889401
Analysis finished2023-12-12 13:45:46.310230
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학기 아이디
Real number (ℝ)

UNIQUE 

Distinct1361
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2077.4901
Minimum1
Maximum4561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2023-12-12T22:45:46.367980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile69
Q1868
median2047
Q33287
95-th percentile4351
Maximum4561
Range4560
Interquartile range (IQR)2419

Descriptive statistics

Standard deviation1400.3086
Coefficient of variation (CV)0.67403866
Kurtosis-1.237292
Mean2077.4901
Median Absolute Deviation (MAD)1214
Skewness0.13175158
Sum2827464
Variance1960864.2
MonotonicityStrictly increasing
2023-12-12T22:45:46.478071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
2845 1
 
0.1%
2869 1
 
0.1%
2865 1
 
0.1%
2863 1
 
0.1%
2861 1
 
0.1%
2857 1
 
0.1%
2853 1
 
0.1%
2849 1
 
0.1%
2847 1
 
0.1%
Other values (1351) 1351
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
4561 1
0.1%
4558 1
0.1%
4555 1
0.1%
4552 1
0.1%
4549 1
0.1%
4546 1
0.1%
4543 1
0.1%
4540 1
0.1%
4537 1
0.1%
4534 1
0.1%

누적 패스 점수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.460691
Minimum0
Maximum100
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2023-12-12T22:45:46.591335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q160
median60
Q360
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.890331
Coefficient of variation (CV)0.21888086
Kurtosis3.5570713
Mean63.460691
Median Absolute Deviation (MAD)0
Skewness0.82747903
Sum86370
Variance192.94128
MonotonicityNot monotonic
2023-12-12T22:45:46.698512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
60 1066
78.3%
100 111
 
8.2%
80 53
 
3.9%
30 52
 
3.8%
70 39
 
2.9%
75 15
 
1.1%
90 12
 
0.9%
50 4
 
0.3%
0 3
 
0.2%
65 3
 
0.2%
Other values (2) 3
 
0.2%
ValueCountFrequency (%)
0 3
 
0.2%
10 1
 
0.1%
30 52
 
3.8%
50 4
 
0.3%
60 1066
78.3%
65 3
 
0.2%
70 39
 
2.9%
75 15
 
1.1%
80 53
 
3.9%
85 2
 
0.1%
ValueCountFrequency (%)
100 111
 
8.2%
90 12
 
0.9%
85 2
 
0.1%
80 53
 
3.9%
75 15
 
1.1%
70 39
 
2.9%
65 3
 
0.2%
60 1066
78.3%
50 4
 
0.3%
30 52
 
3.8%

시험 패스 점수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1321 
10
 
27
60
 
5
50
 
5
40
 
3

Length

Max length2
Median length1
Mean length1.0293902
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1321
97.1%
10 27
 
2.0%
60 5
 
0.4%
50 5
 
0.4%
40 3
 
0.2%

Length

2023-12-12T22:45:46.813165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:46.921184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1321
97.1%
10 27
 
2.0%
60 5
 
0.4%
50 5
 
0.4%
40 3
 
0.2%

퀴즈 패스 점수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1361 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1361
100.0%

Length

2023-12-12T22:45:47.066866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:47.183546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1361
100.0%

과제 패스 점수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1360 
60
 
1

Length

Max length2
Median length1
Mean length1.0007348
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1360
99.9%
60 1
 
0.1%

Length

2023-12-12T22:45:47.294855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:47.415696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1360
99.9%
60 1
 
0.1%

포럼 패스 점수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1361 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1361
100.0%

Length

2023-12-12T22:45:47.513556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:47.612301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1361
100.0%

라이브 세미나 패스 점수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1361 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1361
100.0%

Length

2023-12-12T22:45:48.053438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:48.146982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1361
100.0%

출석 콘텐츠 시간 비율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
100
1361 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 1361
100.0%

Length

2023-12-12T22:45:48.238973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:48.343931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 1361
100.0%

출석 패스 점수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1616458
Minimum0
Maximum100
Zeros1258
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2023-12-12T22:45:48.440454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.06975
Coefficient of variation (CV)3.5817946
Kurtosis9.9884703
Mean6.1616458
Median Absolute Deviation (MAD)0
Skewness3.4152668
Sum8386
Variance487.07385
MonotonicityNot monotonic
2023-12-12T22:45:48.545279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1258
92.4%
80 54
 
4.0%
100 27
 
2.0%
90 8
 
0.6%
32 8
 
0.6%
60 3
 
0.2%
70 3
 
0.2%
ValueCountFrequency (%)
0 1258
92.4%
32 8
 
0.6%
60 3
 
0.2%
70 3
 
0.2%
80 54
 
4.0%
90 8
 
0.6%
100 27
 
2.0%
ValueCountFrequency (%)
100 27
 
2.0%
90 8
 
0.6%
80 54
 
4.0%
70 3
 
0.2%
60 3
 
0.2%
32 8
 
0.6%
0 1258
92.4%

출석 만점 점수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
100
1361 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 1361
100.0%

Length

2023-12-12T22:45:48.660607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:48.770361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 1361
100.0%

미응시 시험 허용 여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1342 
False
 
19
ValueCountFrequency (%)
True 1342
98.6%
False 19
 
1.4%
2023-12-12T22:45:48.874171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1361 
ValueCountFrequency (%)
True 1361
100.0%
2023-12-12T22:45:48.953129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1358 
False
 
3
ValueCountFrequency (%)
True 1358
99.8%
False 3
 
0.2%
2023-12-12T22:45:49.025820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1361 
ValueCountFrequency (%)
True 1361
100.0%
2023-12-12T22:45:49.105168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1361 
ValueCountFrequency (%)
True 1361
100.0%
2023-12-12T22:45:49.181833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T22:45:45.783425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.275939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.548804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.859401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.369965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.623143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.931976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.461002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:45:45.702423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:45:49.242708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학기 아이디누적 패스 점수시험 패스 점수과제 패스 점수출석 패스 점수미응시 시험 허용 여부미응시 과제 허용 여부
학기 아이디1.0000.4020.1750.0470.2350.0670.091
누적 패스 점수0.4021.0000.7680.0000.6610.4160.455
시험 패스 점수0.1750.7681.0000.3640.7010.3400.000
과제 패스 점수0.0470.0000.3641.0000.3240.0000.000
출석 패스 점수0.2350.6610.7010.3241.0000.4920.127
미응시 시험 허용 여부0.0670.4160.3400.0000.4921.0000.000
미응시 과제 허용 여부0.0910.4550.0000.0000.1270.0001.000
2023-12-12T22:45:49.366636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미응시 시험 허용 여부과제 패스 점수시험 패스 점수미응시 과제 허용 여부
미응시 시험 허용 여부1.0000.0000.4140.000
과제 패스 점수0.0001.0000.4430.000
시험 패스 점수0.4140.4431.0000.000
미응시 과제 허용 여부0.0000.0000.0001.000
2023-12-12T22:45:49.470776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학기 아이디누적 패스 점수출석 패스 점수시험 패스 점수과제 패스 점수미응시 시험 허용 여부미응시 과제 허용 여부
학기 아이디1.0000.1810.0180.0730.0360.0510.069
누적 패스 점수0.1811.0000.1840.5490.0000.3640.456
출석 패스 점수0.0180.1841.0000.5490.3460.5270.136
시험 패스 점수0.0730.5490.5491.0000.4430.4140.000
과제 패스 점수0.0360.0000.3460.4431.0000.0000.000
미응시 시험 허용 여부0.0510.3640.5270.4140.0001.0000.000
미응시 과제 허용 여부0.0690.4560.1360.0000.0000.0001.000

Missing values

2023-12-12T22:45:46.044424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:45:46.242044image/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

학기 아이디누적 패스 점수시험 패스 점수퀴즈 패스 점수과제 패스 점수포럼 패스 점수라이브 세미나 패스 점수출석 콘텐츠 시간 비율출석 패스 점수출석 만점 점수미응시 시험 허용 여부미응시 퀴즈 허용 여부미응시 과제 허용 여부미응시 포럼 허용 여부미응시 라이브 세미나 허용 여부
0180000001000100YYYYY
1260000001000100YYYYY
2360000001000100YYYYY
3460000001000100YYYYY
4560000001000100YYYYY
5660000001000100YYYYY
6760000001000100YYYYY
7860000001000100YYYYY
8960000001000100YYYYY
91060000001000100YYYYY
학기 아이디누적 패스 점수시험 패스 점수퀴즈 패스 점수과제 패스 점수포럼 패스 점수라이브 세미나 패스 점수출석 콘텐츠 시간 비율출석 패스 점수출석 만점 점수미응시 시험 허용 여부미응시 퀴즈 허용 여부미응시 과제 허용 여부미응시 포럼 허용 여부미응시 라이브 세미나 허용 여부
1351453460000001000100YYYYY
1352453760000001000100YYYYY
1353454060000001000100YYYYY
1354454360000001000100YYYYY
1355454660000001000100YYYYY
1356454980000001000100YYYYY
13574552100000001000100YYYYY
1358455560000001000100YYYYY
1359455860000001000100YYYYY
1360456160000001000100YYYYY