An Optimization Study of Information Visualization Techniques in Educational Management Systems for Student Data Analysis

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Student consumption habits clustering results

Consumer class	Student ratio	Average monthly consumption	Consumption frequency	Monthly consumption peak	Comparison
1	10.34	468.37	104.2	534.32	LHL
2	17.25	664.85	68.1	1106.27	LLH
3	33.69	723.17	84.3	876.18	HHL
4	24.86	892.03	97.4	1151.4	HHH
5	13.86	497.32	39.6	625.31	LLL
Mean value		696.81	80.7	913.24

The number of times is the matrix (part)

21	9	26	5	13	21
21	14	30	21	11	14
10	25	1	25	15	22
28	27	7	11	16	27
21	9	9	25	17	12
6	19	1	26	18	27
10	19	0	21	16	21

Student habits clustering results

Life type	Student ratio	Regular eating habits	Get up early	Surfing habits	Physical exercise	Comparison
1	36.23	23.6	20.9	175.25	53.3	HHLH
2	10.29	9.2	6.6	210.15	6.5	LLHL
3	53.48	13.4	19.3	206.2	17.6	LHHL
Mean value		15.4	15.6	197.2	25.8

Student scores

Course name	Credit	Course school	Score
College sports	2	Institute of sports	90
College English	3	Foreign language college	88
Advanced mathematics	3	Mathematics college	89
Inorganic chemistry experiment	2	Chemistry college	71
Computer principle	3	Computer college	83
Biology	4	Biological hospital	73
Ethics and law	2	Political academy	85

Four types of learning habits

Learning class	Student ratio	Learning characteristics
1	32.19	The class is high, the book is borrowed, the number of learning is more, the study time is longer
2	11.61	The class is not high, the book is very small, the number of studies is low, the study time is low
3	12.67	The class is higher, the book borrows more, the number of learning is more, the study time is long
4	43.53	There are fewer books, less learning and less learning time

Students learn clustering results

Life type	Student ratio	Regular eating habits	Get up early	Surfing habits	Physical exercise	Comparison
1	32.71	95.37	7.8	29.6	153.6	HLHH
2	11.64	86.15	3.8	11.8	84.4	LLLL
3	12.08	92.49	15.4	26.2	132.5	HHHH
4	43.57	90.75	8.6	16.4	116.3	LLLL
Mean value		91.19	8.9	21	121.7

Three types of lifestyle Settings for living habits

Life category	Student ratio	Life characteristics
1	36.24	Often get up early, eat regularly, exercise regularly and spend longer time on the Internet
2	10.55	Not often getting up early, eating irregular, not exercising regularly, long online hours
3	53.21	Often get up early, eat irregular, don’t exercise regularly, and have a longer time to surf the Internet

Comparison of distribution of different gender scores

	Public class			Specialized course
	<60	60-80	80-100	<60	60-80	80-100
Male	14.00%	62.00%	24.00%	22.00%	58.00%	20.00%
Female	6.00%	48.00%	46.00%	8.00%	66.00%	26.00%

Rules of association of mining

Afterterm	Foreterm	Percentage of rule support	Percentage of support	Percentage of confidence
Worse	Life type 2	8.475	10.272	82.566
General	Consumer type 5	9.864	11.956	83.251
	Life type 3
General	Life type 3	44.872	53.124	84.194
General	Learning type 4	19.018	23.705	80.578
	Life type 1
Good	Life type 1	8.367	10.317	81.362
	Learning type 3

Comparison of men and women

	Mean value			variance
	Public class	Specialized course	synthesize	Public class	Specialized course	synthesize
Male	72.41	69.59	71.64	100.26	212.71	96.67
Female	78.75	75.84	77.88	56.84	109.68	48.59

Five types of students’ consumption habits

Consumer class	Student ratio	Consumption characteristics
1	10.62	Low consumption level, low consumer peak, high consumption frequency and consumer stability
2	17.16	Consumption level generally, monthly consumption peak is high, consumption frequency is low
3	33.63	The consumption level of consumption is low, the monthly consumption is low, the consumption frequency is high, the consumption is stable
4	24.89	The consumption level is highest, monthly consumption peak and frequent consumption frequency
5	13.7	Low consumption levels, low monthly consumption and low consumption frequency