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Table 2 Association rules mining in the figures’ descriptions

From: Examining data visualization pitfalls in scientific publications

Lhs

Rhs

Support

Confidence

Coverage

Lift

Count

{design}

{bad}

0.041

0.714

0.057

11.012

15

{bad}

{design}

0.041

0.625

0.065

11.012

15

{information}

{wrong chart}

0.049

0.667

0.073

4.836

18

{donut}

{size}

0.056

0.700

0.082

1.837

21

{confuse}

{size}

0.048

0.600

0.082

1.574

18

{shape}

{pie chart}

0.041

0.500

0.082

2.467

15

{shape}

{size}

0.081

1.000

0.082

2.624

30

{misleading}

{size}

0.097

0.522

0.186

1.369

36

{bar chart}

{size}

0.162

0.769

0.212

2.019

60

{pie chart}

{size}

0.105

0.520

0.202

1.364

39

{pie chart, shape}

{size}

0.040

1.000

0.041

2.624

15

{shape, size}

{pie chart}

0.041

0.500

0.081

2.466

15

{bar chart, misleading}

{size}

0.064

0.800

0.082

2.111

24

{misleading, size}

{bar chart}

0.064

0.667

0.097

3.162

24

  1.  A-Priori Algorithm was used with a support threshold of 0.04 and a confidence threshold of 0.5