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

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

Author: Eric Nantz May 28, 2022 Duration: 47:07
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
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 
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Hosted by Eric Nantz, Shiny Developer Series pulls back the curtain on the vibrant world of Shiny, the powerful R framework for building interactive web applications. This isn't just a technical manual; it's a conversation with the creators themselves. Each episode sits down with the brilliant developers who are actively shaping this ecosystem, diving into the stories behind their innovative packages and the unique applications they've built. You'll hear firsthand about the challenges solved, the design decisions made, and the practical insights gained from real-world projects. The focus here is on the people and the code that push what's possible with Shiny, making it an essential listen for developers looking to expand their toolkit and find inspiration. Tune into this podcast for a direct line to the community's collective knowledge, perfect for learning during a commute or while your hands are busy. It offers an audio-only format for convenience, capturing detailed discussions and technical deep dives that are as informative as they are engaging for anyone invested in data science and interactive web development.
Author: Language: en-us Episodes: 33

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