For those interested in efficient data munging practices, here’s a great post that dives into strategies for grouped statistics. It compares base R with dplyr and data.table and gets into the weeds on why certain strategies are faster.
Updates are coming to how data reshaping (pivoting) happens in the tidyverse. Check out the new ideas here, some of which are based on the amazing cdata package for reshaping data using templates of what you want your data to look like.
Google’s Dataset Search is a dedicated search engine for publicly available data. Handy if you’re looking for some data to explore!
New Releases and Developments
Shinyproxy provides a free and open-source alternative to Shinyserver Pro. Each app lives in it’s own docker container, and it’s not limited to just shiny apps—any web app, even python-based ones, call all be served with shinyproxy. This latest release brings a nice usability update that allows apps to be served without an iframe.
For those users of Julia, and especially for those that haven’t been ready to try it out yet, the new Juilaintrepreter is a huge step forward. Julia is a new language that is designed to be as easy to write as Python and as fast as C. This new interpreter comes with a debugger and some huge speed improvements when running as a REPL.