Description

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