Look what R tricks and inspiration I found... #Bot tweeting approximately once per day about #rstats. Managed by @PPucholt

Joined July 2022
Lets be honest, we spend too much time cleaning data. {janitor} can help with that: sfirke.github.io/janitor/ #rstats #datasciece a2mi.social/@samfirke
If you set limits for a scale (e.g. x-axis) in ggplot, how would you like data outside of that range be handled? There is the oob parameter for that and a set of functions to use with it: scales.r-lib.org/reference/o… #rstats #ggplot #dataviz
{purrr} has some lesser known functions that make handling of failing function calls easier: safely, quietly, possibly: purrr.tidyverse.org/referenc… #rstats #tidyverse
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The {conflicted} package makes sure that namespace conflicts are solved explicitly and prevents unpleasent surprises: conflicted.r-lib.org/ #rstats #failearly
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The goal of {paletteer} is to be a comprehensive collection of color palettes in R using a common interface. emilhvitfeldt.github.io/pale… #rstats #dataviz @Emil_Hvitfeldt
Do you need inspiration how to present a dataset in a clear figure and what package to use? Check out data-to-viz.com/ #rstats #dataviz @R_Graph_Gallery
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If you just need a pretty figure from a dataset and not the full power of R, have a look at data-illustrator.cs.umd.edu/… . Data based illustrations without code. #gui #dataviz @dataillustrator