Shiny Developer Series

One of my biggest joys of the Shiny Developer Series is watching the journeys of many innovations in the Shiny ecosystem from the brilliant community of developers and practitioners. It is my great pleasure in episode 25 to welcome back data scientist & software engineer Colin Fay! Picking up from his last appearance almost three years ago, Colin takes us through the journey of authoring the recently-published Engineering Production Shiny and his favorite principles covered in the book. We also discuss the uptake of golem in the R community, his new approaches to starting development of a Shiny app integrating customized HTML templates, and even a little real-time consulting on using his brand-new brochure package for a fun learning project! Resources mentioned in the episode Engineering Production-Grade Shiny Apps W3.CSS Templates {golem}: Opinionated framework for building production-grade Shiny applications {brochure} : Natively multipage Shiny apps golemexamples: Gathering in one place some {golem} examples Episode Timestamps 00:00:00 Episode Introduction 00:01:15 Engineering Production-Grade Shiny Apps 00:11:00 The current state and future of golem 00:11:20 'Once you go golem, you never go back!' 00:26:09 HTML Template Demo 00:37:35 brochure package discussion 01:04:10 Advice for Shiny developers seeking to get their apps in shape for production

After a terrific showing of the eye-opening Movie Vue R in episode 26, Kent Russell and Herman Sontrop reveal the fundamental cast of R packages and workflows bringing the app to life. Kent leads us through live demonstrations of his R packages binding to Vue.js, illustrating the seamless way you can link existing HTML widgets to the Vue framework, as well as the mechanics of incorporating Shiny into existing Vue templates to unlock immense potential. Later in the episode we learn revolutionary techniques for adapting the popular crosstalk package to Vue apps, as well as a unique way of tracking application state. Each of these demonstrations reveal many nuggets of development wisdom straight from a true pioneer in bridging the amazing worlds of JavaScript and R together! Resources mentioned in the episode Kent's packages and examples used in the live coding demonstrations: vue.js for R - github.com/vue-r/vueR vue-cli-r - github.com/timelyportfolio/vue-cli-r vite vue3 and Shiny - github.com/timelyportfolio/vite-vue-r valtio vanilla with utils as standalone using browserify - github.com/timelyportfolio/valtio_standalone Kent's listviewer HTML widget for viewing lists: cran.r-project.org/package=listviewer Linking vue to crosstalk - github.com/vue-r/vueR/issues/12 Episode Timestamps 00:00:00 Episode Introduction 00:01:00 The vueR package and introductory examples 00:06:55 Live coding example with vuetify 00:13:55 vueR example, adding a calendar date selector and other mint-ui elements to your Shiny app 00:21:00 htmlwidget leaflet map example 00:24:10 Example of a sunburst plot 00:33:15 Example of a checkbox selector for hierarchical element trees 00:36:00 JavaScript build steps with Vue CLI 00:59:30 vite vue 3 build example 01:09:30 A call to the community to help with vueR development goals 01:10:30 Integrating crosstalk 01:14:30 Using vuex as a store of state. Time travel through the state of your Shiny app 01:20:24 Example of valtio 01:27:08 Episode wrapup

What makes a great Shiny app? Anything that helps your users explore and find answers from data. And it helps when your apps is beautiful and fast. It is now easier than ever for Shiny developers to create these beautiful, dynamic, quick-reacting, multipage shiny apps. In this episode of the Shiny Developer Serie -- the first of two parts -- Eric Nantz hosts Herman Sontrop and Kenton Russell as they introduce the tools behind their Movie Vue R Shiny application. They submitted this application to the 2021 Shiny Contest and have shared the code and documentation with the Shiny developer community. Part 1 is a high-level tour of what is inside the Movie Vue R Shiny application and how the Vue javascript framework is used to offer R and Shiny components really nice user interface elements. Resources mentioned in the episode Movie Vue R Shiny App: friss.shinyapps.io/shiny-vue-r Contest Submission Post on RStudio Community App GitHub repository: github.com/FrissAnalytics/shiny-vue-r Discussion slides available at this link Vue.js - Progressive JavaScript framework: vuejs.org Vuetify - Material design framework for Vue: vuetifyjs.com HTML templates article: shiny.rstudio.com/articles/templates.html Material design icons: materialdesignicons.com http-vue-loader - load .vue files from your HTML/JS: github.com/FranckFreiburger/http-vue-loader Vuex getting started guide: vuex.vuejs.org/guide Vue Router - The official router for Vue.js: router.vuejs.org UI component for Globe Data Visualization using ThreeJS/WebGL: globe.gl Lodash - A modern JavaScript utility library delivering modularity, performance & extras: lodash.com d3.js - Data-Driven Documents: d3js,org Mitt - Tiny 200b functional event emitter / pubsub: github.com/developit/mitt Overlay Scrollbars - A javascript scrollbar plugin which hides native scrollbars, provides custom styleable overlay scrollbars and keeps the native functionality and feeling: kingsora.github.io/OverlayScrollbars Kent's listviewer HTML widget for viewing lists: cran.r-project.org/package=listviewer plumber - Turn your R code into a web API: www.rplumber.io Episode Timestamps 00:00:00 Episode Introduction 00:01:00 Introduction to Herman Sontrop 00:06:10 Introduction to Kenton Russell 00:10:00 High-level walkthrough of Movie Vue R 00:19:25 Diving into the code that drives Movie Vue R 00:22:35 Overview and motivation behind Vue 00:38:30 Vue instance example 00:40:00 Vue reactivty examples 00:46:10 Vue.js components are like Shiny modules 00:49:50 Single file components 00:54:16 Breaking down a Vue component into useful parts; props, data, methods, computed, and watch 00:57:20 Vuetify, tap into many pre-built components, styles, and more 01:10:00 Covid Globe Example in Shiny app 01:12:40 Rendering a ggplot 01:15:15 Summarizing parts of the Movie Vue R app 01:19:10 A look at template.html. A detailed walk through the organization of the app's HTML and files 01:26:30 Where R and Shiny are added to a Vue app. And how your app can send messages back to Shiny and R 01:31:20 Loading images and ggplots 01:38:00 Episode wrapup

One of the common themes seen throughout the Shiny Developer Series is that effective Shiny development is much more than just getting an application to work! Other important considerations include applying Shiny to high-profile projects, ensuring a production-grade code base, and even building robust tooling to assist with development. I have the pleasure of discussing these with Appsilon software engineer and Shiny frontend developer Pedro da Silva! You will hear Pedro's practical advice on the many developer-friendly packages and tools he uses for production Shiny development, a detailed walkthrough of his (Shiny contest) award-winning Shiny Decisions application, and his recommendations for taking your Shiny development skills to the next level. Resources mentioned in the episode Pedro's website with links to posts and webinnars: https://www.pedrocsilva.com Appsilon: https://appsilon.com Shiny Decisions repo: https://github.com/pedrocoutinhosilva/shiny.decisions Deployed Shiny Decisions app: https://sparktuga.shinyapps.io/ShinyDecisions R6 chapter from Advanced R: adv-r.hadley.nz/r6.html {glue} for interpreted string literals: https://glue.tidyverse.org/ {tidymodules}: https://opensource.nibr.com/tidymodules/index.html {sass} for R and Shiny: https://rstudio.github.io/sass/index.html {bslib}: https://rstudio.github.io/bslib/ John Coene's "Javascript for R" book: https://book.javascript-for-r.com/ David Granjon's "Outstanding Shiny UI" book: https://unleash-shiny.rinterface.com/ {renv}: https://rstudio.github.io/renv/articles/renv.html {testthat}: https://testthat.r-lib.org/ {shinyloadtest}: https://rstudio.github.io/shinyloadtest/ Tidyverse style guide: https://style.tidyverse.org/ An lintr, which performs automated checks to confirm that you https://appsilon.com/conform to the style guide, https://github.com/jimhester/lintr Mastering Shiny: https://mastering-shiny.org/ Pedro's recommended Chrome extensions for development: Resolution Test: Test web pages in different screen resolutions ColorPick Eyedropper: A zoomed eyedropper & color chooser tool Screenshotting: Web page screen capture CSS Peeper: Extract CSS and build beautiful styleguides Episode Timestamps 00:00:05 Episode Introduction 00:02:49 Appsilon, Shiny consulting 00:07:49 The wonderful 'black magic' of Shiny 00:09:55 Custom Shiny apps in the enterprise. Number one theme: migrating from excel 00:17:45 Demo of Shiny app game Shiny Decisions 00:22:55 A code walkthrough of Shiny Decisions <//br> 00:32:55 On styling Shiny Decisions 00:50:45 The value of learning a little javascript to improve your Shiny apps 00:51:55 Book recommendations for integrating Javascript into your Shiny app and improving UI 00:52:55 Pedro on jQuery for Shiny 00:56:05 Advice for building Shiny apps in production 01:10:05 Advice for people seeking a career in data science with R and Shiny

Episode 30 of the Shiny Developer Series reveals just how the power of open source software can be used to provide meaningful improvement to our daily lives. In the first of a two-part series, chief data scientist Mike Thomas reveals the motivation behind his brilliant COVID-19 test locator Shiny application, empowering a local community in Connecticut to efficiently report and track availability of test kits in a huge time of need. After a tour of the application interface, Mike shares his favorite techniques to bring an efficient user experience and the backend integrations with APIs to bring production-grade features to life. Resources mentioned in the episode COVID-19 At-Home Test Spotter (App) - ketchbrookanalytics.shinyapps.io/covid_test_spotter COVID-19 At-Home Test Spotter (Code) - github.com/ketchbrookanalytics/covid_test_spotter App blog post - www.ketchbrookanalytics.com/post/ketchbrook-analytics-launches-website-to-help-connecticut-residents-find-covid-19-test-kits Olivia Adams' interview with CNN - www.cnn.com/videos/health/2021/02/08/software-developer-builds-simple-massachusetts-covid-19-vaccine-website-olivia-adams-intv-newday-vpx.cnn R Packages by Hadley Wickham and Jenny Bryan - r-pkgs.org {googleWay} Shiny vignette - symbolixau.github.io/googleway/articles/googleway-vignette.html#shiny Episode Timestamps 00:00:00 Episode Introduction 00:01:31 Mike's introductiona and journey with R & Shiny 00:07:20 Data science consulting and Ketchbrook Analytics 00:11:40 Olivia Adams' inspiring story 00:17:40 Demo of Mike's COVID-19 At-Home Test Spotter App 00:31:55 App code introduction 00:32:10 googleway package integrating the Google Maps API 00:36:25 Pulling addresses from map searches 00:41:10 Using MongoDB for records collection 00:43:15 bslib to simulate the multi-page app experience 00:46:20 Episode wrapup shinydevseries::session_info() 📽 Find previous interviews at https://shinydevseries.com 📋 Feedback is more than welcome! Please send your comments or suggestions on our contact form at shinydevseries.com/contact If you enjoyed this video or got value from it, then consider dropping something in the tip jar. Any money raised will be used to improve the channel and invest in additional equipment and resources to make the content even better! 💰 https://bit.ly/sdstip 📨 Help shape the future direction of the Shiny Developer Series live streams by completing this very short survey Media production for the Shiny Developer Series is made possible by these outstanding projects and platforms: OBS Studio: https://obsproject.com/ OBS Fully Loaded install script by Martin Wimpress: https://github.com/wimpysworld/obs-fully-loaded VDO Ninja: https://vdo.ninja StreamElements: https://streamelements.com ShotCut: https://shotcut.org/ Pop@_OS by System76: https://pop.system76.com/ Ubuntu: https://ubuntu.com/