This tutorial comes with a R Shiny demo application which you can access here. Create professional web applications for your company
Shiny is extremely powerful to quickly build interactive web applications. It’s also the preferred technological solution for many data scientists, because it’s R-native.
As not all web applications are meant to be public, the ability to control access should be part of the know-how of any aspiring data scientist.
This tutorial will introduce you to a few options to secure your Shiny apps through authentication layer.
Note: in order to get the most from this tutorial, interested reader should already be familiar with basic Shiny principles (e.g. reactivity, how to use a module), web development (e.g. html tags and css), and RStudio projects.
This tutorial comes with a R Shiny demo application which you can access here.
The complete code is also available on my **[bitbucket account](https://bitbucket.org/cho7tom/authentication/src/master/).**
This tutorial will cover several approaches to secure access to R Shiny web application.
Note: for the sake of the demonstration, I created a table to store username and password straight from the Shiny server section. Keep in mind that *credentials should be encrypted and stored in a database in the case of apps deployed in production *(database connection is not covered in this particular post).
A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.
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The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.