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

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

Author: Eric Nantz May 28, 2022 Duration: 51:44
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
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 

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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