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Table 3 Summary of eigenvalues and contribution rates obtained by principal component analysis

From: Influence of the built environment of Nanjing’s Urban Community on the leisure physical activity of the elderly: an empirical study

 

Start feature value

extract square sum load

cycle square sum load

total

Variance %

Accumulate %

total

Variance %

Accumulate %

total

Variance %

Accumulate %

1

5.78

30.40

30.40

5.78

30.40

30.40

2.60

13.69

13.69

2

2.05

10.77

41.17

2.05

10.77

41.17

2.56

13.46

27.15

3

1.29

6.77

47.94

1.29

6.77

47.94

2.14

11.28

38.43

4

1.12

5.88

53.82

1.12

5.88

53.82

2.08

10.96

49.40

5

0.97

5.09

58.91

0.97

5.09

58.91

1.81

9.51

58.91

6

0.94

4.97

63.89

      

7

0.90

4.73

68.62

      

8

0.70

3.69

72.31

      

9

0.68

3.59

75.90

      

10

0.58

3.06

78.96

      

11

0.56

2.95

81.91

      

12

0.56

2.92

84.83

      

13

0.53

2.80

87.63

      

14

0.47

2.50

90.13

      

15

0.46

2.44

92.57

      

16

0.42

2.20

94.77

      

17

0.35

1.85

96.62

      

18

0.35

1.82

98.44

      

19

0.30

1.56

100.00

      
  1. Extraction method: principal component analysis