Shiny Apps for Interactive Data Analysis

[This article was first published on Rsquared Academy Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

We are excited and happy to share a set of shiny apps built for interactive data analysis and teaching at Rsquared Academy. The apps are part of our R packages and presently cover the following topics:

  • Descriptive Statistics
  • Probability Distributions
  • Hypothesis Testing
  • Linear Regression
  • Logistic Regression
  • RFM Analysis
  • Data Visualization

We would suggest that you explore the apps using sample data sets available within the app before using your own data set so that you get comfortable with the user interface.



You can try the live version of the apps here or locally launch these apps from the R packages mentioned in the below table. It will be easier to use the apps if you refer to the documentation of the respective packages.

Topic Try App R Package API
Descriptive Statistics Launch descritpr ds_launch_shiny_app()
Visualize Distributions Launch vistributions vdist_launch_app()
Hypothesis Testing Launch inferr infer_launch_shiny_app()
Linear Regression Launch olsrr ols_launch_app()
Logistic Regression Launch blorr blr_launch_app()
RFM Analysis Launch rfm rfm_launch_app()
Data Visualization Launch xplorerr app_visualizer()


All feedback is welcome. Issues (bugs and feature requests) can be posted to github tracker. For help with code or other related questions, feel free to reach out to us at [email protected].

To leave a comment for the author, please follow the link and comment on their blog: Rsquared Academy Blog. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)