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
DiagrammeRpackage: visualizers.co/diagrammer/gtpackage: gt.rstudio.com/blastulapackage: 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
shinypodpackage by Ian Lyttle: github.com/ijlyttle/shinypodshinysensepackage 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
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+1-269-849-9780
Music Credits
- Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org
Activity