🌞 Introduction to Radiant
Introduction to Radiant
Radiant is an open-source platform-independent browser-based interface for business analytics in R. It was created at the Rady School of Management at the University of San Diego, USA, by Prof. Vincent R. Nijs and his students.
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
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.
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