Episode 31

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


May 27th, 2022

43 mins 16 secs

Your Hosts

About this Episode

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

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


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