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ropensci / visdat

Preliminary Exploratory Visualisation of Data
https://docs.ropensci.org/visdat/
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Clustering presentation #79

Closed njtierney closed 6 years ago

njtierney commented 6 years ago

Have a look at changing the clustering so that the cases are ordered by most missingness.

njtierney commented 6 years ago

Specifically, in this example here: 


library(visdat)

vis_miss(airquality)


vis_miss(airquality, cluster = TRUE)

Created on 2018-04-30 by the reprex package (v0.2.0).

For the second plot, it would be neat to have the missingness at the top of the plot, rather than the bottom

njtierney commented 6 years ago

This is actually not trivial to do, and I don't think that it is 100% necessary to see the patterns that you are interested in.