Shiny Apps for Interactive Data Analysis

March 31, 2019
By

(This article was first published on Rsquared Academy Blog, and kindly contributed to R-bloggers)

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.

Demo

Details

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()

Feedback

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.

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