Shiny Developer Series

Eric Nantz
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  • التكنولوجيا

The goals of the Shiny Developer Series are to showcase the innovative applications and packages in the ever-growing Shiny ecosystem, as well as the brilliant developers behind them! This is the audio-only feed in case you want to listen to the content on the go. Visit shinydevseries.com for the video version of all episodes

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    Episode 32: Consulting with Shiny Panel Discussion

    In this special live recording of the Shiny Developer Series held at the first-ever Appsilon Shiny Conferenbce, host Eric Nantz welcomed back an all-star panel of Dean Attali, Tanya Cashorali, Pedro Silva, and Mike Thomas to share their unique perspectives on the life of a Shiny application developer in the world of consulting. The panel discussed topics such as their favorite techniques used across production apps, advice for becoming a Shiny consultant, and ways Shiny can integrate seamlessly with other tech stacks. Resources mentioned in the episode Shiny Modules: shiny.rstudio.com/articles/modules.htmlOverview of the {sass} package: rstudio.github.io/sass/articles/sass.html{waiter} Loading screens for Shiny: github.com/JohnCoene/waiterTooltips with {shinyBS}: ebailey78.github.io/shinyBS/docs/Tooltips_and_Popovers.htmlInteractive web-based data visualization with R, {plotly}, and {shiny}: plotly-r.com{shinyjs} Easily improve the user experience of your Shiny apps in seconds: deanattali.com/shinyjs/{reactable} Interactive data tables for R: glin.github.io/reactableClean Code: A Handbook of Agile Software CraftsmanshipEpisode Timestamps 00:00:00 Panelist introductions 00:03:20 What are key skills to build production-quality Shiny apps 00:10:05 Creating an app that doesn't feel like a standard Shiny app 00:17:15 Getting started with consulting/freelancing Shiny development 00:27:00 Advice for teams to increase Shiny dev skills 00:36:10 Tools/packages used every day 00:45:15 App development workflows 00:49:30 Underrated techniques 00:58:20 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-loadedVDO Ninja: https://vdo.ninjaStreamElements: https://streamelements.comShotCut: https://shotcut.org/Pop@_OS by System76: https://pop.system76.com/Ubuntu: https://ubuntu.com/

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    Episode 31: The Connecticut COVID-19 Test Spotter App (Part 2)

    The Shiny Developer Series continues our spotlight on the COVID-19 Test Spotter application created by renowned data scientist and entrepreneur Mike Thomas! In this episode we learn how Mike implemented robust database techniques and logic to manage user-supplied data, navigating the use of multiple mapping APIs, and achieving a practical development-to-production strategy for releasing the application to the public. Plus we have a great discussion on what production means in the space of Shiny development, and much more.  Resources mentioned in the episode COVID-19 At-Home Test Spotter (App) - ketchbrookanalytics.shinyapps.io/covid_test_spotterCOVID-19 At-Home Test Spotter (Code) - github.com/ketchbrookanalytics/covid_test_spotterApp blog post - www.ketchbrookanalytics.com/post/ketchbrook-analytics-launches-website-to-help-connecticut-residents-find-covid-19-test-kits{googleWay} Shiny vignette - symbolixau.github.io/googleway/articles/googleway-vignette.html#shiny{mongolite} user manual - jeroen.github.io/mongolite{reactable} Interactive data tables for R - glin.github.io/reactableEpisode Timestamps 00:00:00 Episode Introduction 00:00:46 CRUD workflow and flowchart, with MongoDB database updates 00:09:41 Diving into the Google Maps and Places API 00:15:55 Geographic fencing, and dealing with unexpected user behavior. 00:22:35 Deploying with a dev and production branch. 00:28:15 Future plans for the app 00:30:50 Advice for building Shiny apps in production 00:31:20 Production apps is all about reproducibility: OS, dependencies, and the code. 00:33:15 Pay attention to warning messages in your console. 00:34:22 Modularization and Golem 00:38:08 You can have too much reactivity, such as overextending uiOutput() / renderUI() 00:40:10 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-loadedVDO Ninja: https://vdo.ninjaStreamElements: https://streamelements.comShotCut: https://shotcut.org/Pop@_OS by System76: https://pop.system76.com/Ubuntu: https://ubuntu.com/

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    Episode 30: The Connecticut COVID-19 Test Spotter App (Part 1)

    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_spotterCOVID-19 At-Home Test Spotter (Code) - github.com/ketchbrookanalytics/covid_test_spotterApp blog post - www.ketchbrookanalytics.com/post/ketchbrook-analytics-launches-website-to-help-connecticut-residents-find-covid-19-test-kitsOlivia 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.cnnR Packages by Hadley Wickham and Jenny Bryan - r-pkgs.org{googleWay} Shiny vignette - symbolixau.github.io/googleway/articles/googleway-vignette.html#shinyEpisode 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-loadedVDO Ninja: https://vdo.ninjaStreamElements: https://streamelements.comShotCut: https://shotcut.org/Pop@_OS by System76: https://pop.system76.com/Ubuntu: https://ubuntu.com/

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    Episode 29: Playing fair with the FairSplit Shiny App

    Whether in a sports pickup game or a different friendly competition, we often strive for balancing the distributions of skills so everyone can have fun. What does this have to do with Shiny? In episode 29, our coverage of the 2021 Shiny contest continues as I am joined by Douglas Mesquita and Luis Gustavo Silve e Silve who created the novel FairSplit Shiny application! Motivated by regular football pickup games, Douglas and Luis developed a novel algorithm to balance the distribution of individuals incorporating multiple traits that eventually wound up into a snazzy Shiny app that easily has something for everyone. This is yet another example of the many use cases Shiny brings at your fingertips. Resources mentioned in the episode FairSplit App - voronoys.shinyapps.io/fairsplitFairSplit Code - github.com/voronoys/fairsplitContest submission post - community.rstudio.com/t/fairsplit-shiny-contest-submission/104752Episode Timestamps 00:00:00 Episode & Douglas' introduction 00:02:50 Luis' introduction 00:07:30 Fairsplit Shiny app 00:17:10 Application walkthrough 00:27:20 Sidenote: Statistical bias introduced into the system 00:47:47 Code discussion 01:12:25 Episode wrapup

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    Episode 28: The transformative effects of Shiny with the coronaSweeper app

    The Shiny Developer Series spotlight on the 2021 Shiny Contest continues with episode 28! Eric is joined by statistics lecturer Dr. Kate Saunders to share her unique coronaSweeper Shiny application which merges a well-known mini-game in the Windows world with modelling the spread of COVID19. On the surface it might seem straight-forward, but Kate walks us through her extensive design ideas of the algorithms and user experience of the application frontend. This was a very inspiring conversation that demonstrates the ways Shiny can be transformative to teaching real principles in mathematics, statistics, and beyond! Resources mentioned in the episode coronaSweeper App - katerobsau.shinyapps.io/Corona_SweepercoronaSweeper Code - github.com/katerobsau/coronaSweeperKate's contest submission post: community.rstudio.com/t/coronasweeper-shiny-contest-submission/104767Follow Kate on Twitter - @katerobsauEpisode Timestamps 00:00:00 Episode Introduction 00:04:45 Inspiration behind coronaSweeper 00:08:15 Demo of coronaSweeper 00:14:35 Code walkthrough 00:43:10 Shiny for teaching? 00:50:20 Episode wrapup

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    Episode 27: Peeling back the curtain of Movie Vue R (Part 2)

    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/vueRvue-cli-r - github.com/timelyportfolio/vue-cli-rvite vue3 and Shiny - github.com/timelyportfolio/vite-vue-rvaltio vanilla with utils as standalone using browserify - github.com/timelyportfolio/valtio_standaloneKent's listviewer HTML widget for viewing lists: cran.r-project.org/package=listviewerLinking vue to crosstalk - github.com/vue-r/vueR/issues/12Episode 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

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    Episode 26: Peeling back the curtain of Movie Vue R (Part 1)

    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-rContest Submission Post on RStudio CommunityApp GitHub repository: github.com/FrissAnalytics/shiny-vue-rDiscussion slides available at this linkVue.js - Progressive JavaScript framework: vuejs.orgVuetify - Material design framework for Vue: vuetifyjs.comHTML templates article: shiny.rstudio.com/articles/templates.htmlMaterial design icons: materialdesignicons.comhttp-vue-loader - load .vue files from your HTML/JS: github.com/FranckFreiburger/http-vue-loaderVuex getting started guide: vuex.vuejs.org/guideVue Router - The official router for Vue.js: router.vuejs.orgUI component for Globe Data Visualization using ThreeJS/WebGL: globe.glLodash - A modern JavaScript utility library delivering modularity, performance & extras: lodash.comd3.js - Data-Driven Documents: d3js,orgMitt - Tiny 200b functional event emitter / pubsub: github.com/developit/mittOverlay Scrollbars - A javascript scrollbar plugin which hides native scrollbars, provides custom styleable overlay scrollbars and keeps the native functionality and feeling: kingsora.github.io/OverlayScrollbarsKent's listviewer HTML widget for viewing lists: cran.r-project.org/package=listviewerplumber - Turn your R code into a web API: www.rplumber.ioEpisode 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

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    Episode 25: Colin Fay is back!

    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 AppsW3.CSS Templates{golem}: Opinionated framework for building production-grade Shiny applications{brochure} : Natively multipage Shiny appsgolemexamples: Gathering in one place some {golem} examplesEpisode 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

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The goals of the Shiny Developer Series are to showcase the innovative applications and packages in the ever-growing Shiny ecosystem, as well as the brilliant developers behind them! This is the audio-only feed in case you want to listen to the content on the go. Visit shinydevseries.com for the video version of all episodes

المعلومات

  • صناع العمل
    Eric Nantz
  • سنوات النشاط
    ٢٠١٦ - ٢٠٢٢
  • الحلقات
    ٣٣
  • التقييم
    ملائم
  • حقوق النشر
    © 2024 Shiny Developer Series
  • موقع البرنامج على الويب
    Shiny Developer Series