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The rainfall plot: its motivation, characteristics and pitfalls.

Diana DomanskaDaniel VodákChristin Lund-AndersenStefania SalvatoreEivind HovigGeir Kjetil Sandve
Published in: BMC bioinformatics (2017)
This work provides the first comprehensive survey of the characteristics and proper usage of rainfall plots. We find that the rainfall plot is able to convey a large amount of information without any need for parameterization or tuning. However, we also demonstrate how plot congestion and the use of a logarithmic y-axis may result in obscured visual data interpretations. To aid the productive utilization of rainfall plots, we demonstrate their characteristics and potential pitfalls using both simulated and real data, and provide a set of practical guidelines for their proper interpretation and usage.
Keyphrases
  • electronic health record
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  • deep learning