So, in summary, Shiny's really useful if you have R script or visualization that you want to make interactive. If, however, you want to make your Shiny app available to other people through the web browser, then you'd need to use a hosting platform, like shinyapps.io, that has the the Shiny Server Application installed on it. And you can have a local instance of your Shiny app. In that case, all you need is RStudio and the R library, Shiny. So if you've written a Shiny app to visualize your data interactively, and you want to show that in a conference presentation, then you may want to leave it on your local machine. We might want to use a Shiny application on our local machine, or through the web browser. We essentially think of there being two different places that we might want to use a Shiny application. This might sound quite technical, but it's not. It's an R library installed on your local machine for creating interactive apps. So, before we use Shiny, we should understand what is Shiny? Well, it's a framework for building interactive applications using the R language. And that's what Shiny's for, for making interactive data visualizations and applications using the R language. So why use Shiny? You might be interested in using Shiny because you want to make an interactive application which allows people to explore a data set of yours or to understand a model that you've built inside of R, and its dependency on different parameters.
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