A shiny dashboard for conference tweets: https://t.co/IhYQvH21i6 Follow the discussion around a conference or event in a hyper focused way. @grrrck#rstats#shiny
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: https://t.co/h1zxE39Nv2 #rstats#ggplot#dataviz
{purrr} has some lesser known functions that make handling of failing function calls easier: safely, quietly, possibly: https://t.co/cLaFFj6acQ #rstats#tidyverse
The {conflicted} package makes sure that namespace conflicts are solved explicitly and prevents unpleasent surprises: https://t.co/7NXx3DJKbR #rstats#failearly
The goal of {paletteer} is to be a comprehensive collection of color palettes in R using a common interface. https://t.co/rTFW3jCdh2 #rstats#dataviz@Emil_Hvitfeldt
The fastverse is a suite of complementary high-performance packages for statistical computing and data manipulation in R. https://t.co/NzHxq0sCj9 #rstats#performance#fast@collapse_R
Do you need inspiration how to present a dataset in a clear figure and what package to use? Check out https://t.co/o0Pkbq7Npq #rstats#dataviz@R_Graph_Gallery
Want to check the google trends for a topic? Use {gtrendsR} directly from within your favorite language: https://t.co/yDp7ADLvzP #googletrends#rstats@philmassicotte
If you just need a pretty figure from a dataset and not the full power of R, have a look at https://t.co/YgyfKI5bXw . Data based illustrations without code. #gui#dataviz@dataillustrator