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MeganBeckett / lubridate-heatmaps_tutorial

Lubridate tutorial and dataviz project of running data
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Another approach to summary #1

Closed datawookie closed 6 years ago

datawookie commented 6 years ago

You can also use summarytools package.

library(summarytools)

dfSummary(app_train)
#
# This will create output in the Viewer window. Pop that out to view in browser.
#
view(dfSummary(app_train))
MeganBeckett commented 6 years ago

Thanks! This is great - the histograms are really nice - much better than skim(). I also added the summarytools.css so that the html output works better with Rmarkdown. The documentation says that they are working on imporving the html rendering, as it's not as neat as it could be.