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/ (http://visualizers.co/diagrammer/)
gt package: gt.rstudio.com/ (https://gt.rstudio.com/)
blastula package: github.com/rich-iannone/blastula (https://github.com/rich-iannone/blastula)
Preparing for the Shiny Modules talk
Karl Browman's rstudio::conf 2019 resources repo: github.com/kbroman/RStudioConf2019Slides (https://github.com/kbroman/RStudioConf2019Slides)
Slides: bit.ly/modules2019 (https://bit.ly/modules2019)
Recording: resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development (https://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 (http://shiny.rstudio.com/articles/communicate-bet-modules.html)
Ames Housing Explorer application: gallery.shinyapps.io/ames-explorer (https://gallery.shinyapps.io/ames-explorer)
shinypod package by Ian Lyttle: github.com/ijlyttle/shinypod (https://github.com/ijlyttle/shinypod)
shinysense package by Nick Strayer: github.com/nstrayer/shinysense (https://github.com/nstrayer/shinysense)
Giving your first data science talk by Emily Robinson: hookedondata.org/giving-your-first-data-science-talk/ (https://hookedondata.org/giving-your-first-data-science-talk/)
The Unreasonable Effectiveness of Public Work (David Robinson): slides (https://www.dropbox.com/s/jk7216yr30ztpdp/DavidRobinson-RStudio-2019-old.pdf?dl=0) and recording (https://resources.rstudio.com/rstudio-conf-2019/the-unreasonable-effectiveness-of-public-work)
Additional resources
Tips on designing hex stickers for R packages (Hao Zhu): zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/ (https://zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/)
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Music Credits
Opening and closing themes: Training Montage by WillRock (http://ocremix.org/artist/5043/willrock) from the Return All Robots Remix Album (http://ocremix.org/events/returnallrobots/) at ocremix.org (http://ocremix.org/)