Use cases

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On this page, we list a few ways in which careful visualization designs can facilitate more statistically sound exploratory data analysis.

  • Using user knowledge to inform hypothesis partition
  • User-guided construction of null hypothesis distribution corresponding to no interesting observations
  • Understanding how each exploration action impact the overall false discovery rate
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