From the course: Building Data Apps with R and Shiny: Essential Training
Build, test, and deploy apps easily in Shiny
From the course: Building Data Apps with R and Shiny: Essential Training
Build, test, and deploy apps easily in Shiny
- [Martin] Your data science team is working hard on your project, planning everything out, crushing the objectives. One of the outputs is a web app. Everyone's excited, things are going to plan, momentum is on your side. And then, a huge pause. Why? Because you need to offload development to a web dev team. Can you imagine how easy life would be if you didn't have to do that? That's where Shiny can help. With Shiny, you can build a web app and reuse the R code you've already written for data rendering, data visualization, and modeling. Shiny means that you can retain ownership of the app and the data science workflow seamlessly. Hello, I'm Martin John Hadley, and I'll take you through everything you need to know about Shiny and how to build fully-functioning, data-rich web apps. We don't waste time on technical implementations of reactive expressions. This is about visualizing your data in Shiny apps, allowing your users to download data sets or even upload their own files. Let's get going.
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