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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