33 episodes

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

Shiny Developer Series Eric Nantz

    • Technology
    • 5.0 • 1 Rating

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

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

    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_Sweeper
    coronaSweeper Code - github.com/katerobsau/coronaSweeper
    Kate's contest submission post: community.rstudio.com/t/coronasweeper-shiny-contest-submission/104767
    Follow Kate on Twitter - @katerobsau


    Episode 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

    • 51 min
    Episode 29: Playing fair with the FairSplit Shiny App

    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/fairsplit
    FairSplit Code - github.com/voronoys/fairsplit
    Contest submission post - community.rstudio.com/t/fairsplit-shiny-contest-submission/104752


    Episode 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

    • 1 hr 15 min
    Episode 25: Colin Fay is back!

    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 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

    • 1 hr 13 min
    Episode 24: Illustrating the MyPaintings Masterpiece

    Episode 24: Illustrating the MyPaintings Masterpiece

    In episode 24 of the Shiny Developer Series, we kick off a series of episodes that spotlight amazing Shiny applications submitted in the 2021 RStudio Shiny Contest! David Barkemeyer joins Eric to uncover the technical achievements and design philosophy of his myPaintings application, complete with many innovative capabilities that greatly enhance the user experience and backend infrastructure. Throughout the episode, you will hear David's perspectives on effective techniques to manage application state, integration of custom javascript, and much more!


    Resources mentioned in the episode


    David on GitHub: https://github.com/DavidBarke
    myPaintings - Painting Trading Platform
    Shiny app: https://mypaintings.davidbarke.com
    GitHub Repo: https://github.com/DavidBarke/mypaintings
    {shinyjs}
    {bs4Dash}


    Episode Timestamps

    00:00:00 Episode Introduction
    00:03:24 How David got started with R & Shiny
    00:05:40 Introduction to myPaintings
    00:24:15 Infinite scroll feature
    00:30:22 Design UI & UX of myPaintings
    00:34:15 User management & helper functions
    00:46:51 Overall app & file organization
    00:49:28 Using .values to store & update user state and environment
    00:53:40 R6 classes as another option
    01:00:20 Recap and conclusion

    • 1 hr 2 min
    Episode 32: Consulting with Shiny Panel Discussion

    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.html
    Overview of the {sass} package: rstudio.github.io/sass/articles/sass.html
    {waiter} Loading screens for Shiny: github.com/JohnCoene/waiter
    Tooltips with {shinyBS}: ebailey78.github.io/shinyBS/docs/Tooltips_and_Popovers.html
    Interactive 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/reactable
    Clean Code: A Handbook of Agile Software Craftsmanship


    Episode 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


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    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!


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    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/

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

    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_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
    {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/reactable


    Episode 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-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/

    • 43 min

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