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Application and Analysis of Big Data Analysis in Sports

  
27 feb 2025

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Figure 1.

Artificial bee colony algorithm flow
Artificial bee colony algorithm flow

Figure 2.

Ant colony algorithm process
Ant colony algorithm process

Figure 3.

Cultural algorithm process
Cultural algorithm process

Figure 4.

Genetic algorithm flow
Genetic algorithm flow

Figure 5.

Tabu search algorithm flow
Tabu search algorithm flow

Figure 6:

Statistical chart of distribution of different dimensions
Statistical chart of distribution of different dimensions

Figure 7.

Statistical chart of distribution of different dimensions
Statistical chart of distribution of different dimensions

Figure 8.

Statistical chart of sports quality difference under different ages
Statistical chart of sports quality difference under different ages

Figure 9.

Statistical chart of sports quality differences under different genders
Statistical chart of sports quality differences under different genders

Figure 10

Statistical chart of sports quality difference under different occupations
Statistical chart of sports quality difference under different occupations

Evaluation standard table

X2Fi X2Fi The closer the value of I is to 1, the better. A value between 3 and 6 indicates that the model is acceptable.
REASONREASON A region value between 0.07 and 0.09 indicates that the model is acceptable.
REA REA less than 0.1, the smaller the value, the better.
XFI, CFI, DFI, SFI XFI, CFI, DFI, SFI the value of is between 0 and 1, and the closer it is to 1, the better.

Five benefits of sports statistics by traditional methods

Dimension Minimum value maximum value average standard deviation Question mean
Competitive consciousness 6 80 42.11 11.21 3.52
Sense of cooperation 7 50 37.42 13.42 3.51
Rule awareness 9 30 10.98 3.21 3.11
innovation ability 5 30 18.11 6.26 3.09
Physical and mental health 10 60 12.43 5.11 3.02
Total score 37 250 121.05 39.21 16.25

Artificial neural network statistics five benefits of sports

Dimension Minimum value Maximum value Average Standard deviation Question mean
Competitive consciousness 12 70 52.65 14.11 3.76
Sense of cooperation 14 55 41.81 10.53 3.8
Rule awareness 9 30 22.54 6.02 3.75
innovation ability 9 30 22.42 5.78 3.73
Physical and mental health 11 60 15.1 3.85 3.79

The difference of sports quality in different occupations

Occupation White collar Retire Student Athletes
Factor M SD M SD M SD M SD F Sig
Competitive consciousness 48.32 17.36 53.56 11.17 56.81 10.18 55.48 7.5 14.61* 0
Sense of cooperation 38.88 12.69 42.41 8.46 44.81 8.05 44.43 5.26 12.34* 0
Rule awareness 20.76 7.44 23.05 4.62 24.22 4.49 23.91 3.15 13.26* 0
Innovation ability 20.83 7.04 22.8 4.85 24.02 4.17 24.04 2.9 11.98* 0
Physical and mental health 13.91 4.6 15.43 3.27 16.25 2.79 16.01 1.83 14.80* 0

The difference of sports quality between different genders

Gender Male Female Male Female
Factor M SD M SD M SD M SD F Sig
Competitive consciousness 44.5 16.53 48.9 17.57 53.17 14.51 55.48 7.5 4.96* 0.002
Sense of cooperation 35.83 13.92 38.6 12.78 42.09 10.8 44.43 5.26 6.05* 0
Rule awareness 19 7.42 20.5 7.86 22.81 5.99 23.91 3.15 6.46* 0
Innovation ability 19 7.44 20.85 7.13 22.47 5.89 24.04 2.9 6.29* 0
Physical and mental health 12.88 4.66 13.66 4.93 15.3 3.89 16.01 1.83 7.14* 0

The difference of sports quality in different ages

Age <18 <45 <60 <90
Factor M SD M SD M SD M SD F Sig
Competitive consciousness 48.21 17.29 55.81 9.9 55.34 11.62 52.32 14.24 2.70* 0.045
Sense of cooperation 39.21 12.97 44.04 7.99 44.08 8.95 41.53 10.48 2.87* 0.036
Rule awareness 21.08 7.69 23.81 4.62 23.51 5.31 22.44 5.87 2.38 0.069
Innovation ability 21.04 7.08 23.6 4.46 23.79 4.96 22.24 5.73 2.95* 0.032
Physical and mental health 14.06 4.78 16 2.53 15.65 3.45 15.08 3.82 2.68* 0.046