In this episode I share the advice and tips I used to prepare my talk on Shiny Modules at rstudio::conf 2019. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode! Conversation with Rich Iannone DiagrammeR package: visualizers.co/diagrammer/ gt package: gt.rstudio.com/ blastula package: github.com/rich-iannone/blastula Preparing for the Shiny Modules talk Karl Browman's rstudio::conf 2019 resources repo: github.com/kbroman/RStudioConf2019Slides Slides: bit.ly/modules2019 Recording: resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development Communication between modules article: shiny.rstudio.com/articles/communicate-bet-modules.html Ames Housing Explorer application: gallery.shinyapps.io/ames-explorer shinypod package by Ian Lyttle: github.com/ijlyttle/shinypod shinysense package by Nick Strayer: github.com/nstrayer/shinysense Giving your first data science talk by Emily Robinson: hookedondata.org/giving-your-first-data-science-talk/ The Unreasonable Effectiveness of Public Work (David Robinson): slides and recording Additional resources Tips on designing hex stickers for R packages (Hao Zhu): zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/ Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page Leave a voicemail at +1-269-849-9780 Music Credits Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org