πŸ‰ Introduction to Radiant

Radiant
Business Analytics
Author

Arvind Venkatadri

Published

November 11, 2022

Modified

May 21, 2024

Abstract
An R/Shiny based point-and-click tool for Business Analytics

Introduction to Radiant

Radiant is an open-source platform-independent browser-based interface for business analytics in R.

Key features

  • Explore: Quickly and easily summarize, visualize, and analyze your data
  • Cross-platform: It runs in a browser on Windows, Mac, and Linux
  • Reproducible: Recreate results and share work with others as a state file or an Rmarkdown report
  • Programming: Integrate Radiant’s analysis functions with your own R-code
  • Context: Data and examples focus on business applications

Radiant can be used for a variety of tasks

  • Probability and Stats
  • Data visualization
  • Machine Learning
  • Data mining
  • Report Generation.

Radiant Workflows can also be exported to R/RStudio easily.

Installing Radiant

You can download and install Radiant from here:

https://radiant-rstats.github.io/docs/install.html

Important

NOTE: This automatically installs R, RStudio, and Radiant on your machine. This is going to be convenient when we start working in R too!

It also installs Latex, which allows us to create crisp PDF reports of our analyses.

The version of R may not be the latest one, though…

Basic Tutorials with Radiant

All the Tutorials are available on Youtube; the links to individual videos are on the page below

https://radiant-rstats.github.io/docs/radiant-tutorial-series.html

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