Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization. We are excited to announce the WVPlots is now at version 1.0.0 on CRAN!
A while back Simon Jackson and Kara Woo shared some great ideas and graphs on grouped bar charts and density plots (link). Win-Vector LLC‘s Nina Zumel just added a graph of this type to the development version of WVPlots.
Nina has, as usual, some great documentation here.
Many data scientists (and even statisticians) often suffer under one of the following misapprehensions:
- They believe a technique doesn’t work in their current situation (when in fact it does), leading to useless precautions and missed opportunities.
- They believe a technique does work in their current situation (when in fact it does not), leading to failed experiments or incorrect results.
I feel this happens less often if you are working with observable and composable tools of the proper scale. Somewhere between monolithic all in one systems, and ad-hoc one-off coding is a cognitive sweet spot where great work can be done.
Please check them out (hint:
vtreat is our favorite).
Recently Dirk Eddelbuettel pointed out that our
R function debugging wrappers would be more convenient if they were available in a low-dependency micro package dedicated to little else. Dirk is a very smart person, and like most
R users we are deeply in his debt; so we (Nina Zumel and myself) listened and immediately moved the wrappers into a new micro-package:
Image: Friedensreich Hundertwasser