With overview_tab and overview_print you can generate publication-ready tables for reports or scientific articles 🥳 #rstats #rladies #overviewR

Everyone on #SocSciTwitter & #PoliSciTwitter have a look at overviewR. It's an incredibly helpful #rstats package created by our PhD candidates @cosima_meyer and @d_hammers. Thank you, Cosima and Dennis! https://twitter.com/cosima_meyer/status/1278718693535617026

Super proud to announce that @d_hammers and my first #rstats package is on CRAN! 🥳 overviewR is a small but neat tool for everyone who wants to get a quick glance at their data set 👩‍💻 You can take a look at the package here: #rladies #DataScience

{overviewR} 📦 is updated and on CRAN 🔦 #rstats #rladies we spend some time adding new functions and improvements as well as an updated {pkgdown} website for increased documentation 🎉

We updated {overviewR}‘s cheatsheet 💡

The updated version is already available on our website and will also be updated in @rstudio‘s repository 🥳

If you’re looking for a smooth intro to the package, here’s everything you need: #rstats

One of the coolest features of our #rstats 📦 {overviewR} is the possibility to present your sample in a cross-table. Coming from a #polisci background where I studied post-conflict countries, I often wanted to know how my observations behave depending on two conditions. #rladies

{overviewR} turns 2 and we’re hitting the 11k downloads - what a perfect birthday present 🥳
Thanks to everyone for using it and for sharing your feedback on how to continuously improve it ♥️ #rstats

The #rstats 📦 {overviewR} also tells you something about missing values in your data! 🕵🏼‍♀️
The cool thing is, you can check for it row- and column-wise. #rladies #overviewR

To better understand how your ids are distributed across time in your data, you can use overview_plot from {overviewR}. #rladies #rstats #overviewr