Shiny Apps for Interactive Data Analysis

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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.

TopicTry AppR PackageAPI
Descriptive StatisticsLaunchdescritprds_launch_shiny_app()
Visualize DistributionsLaunchvistributionsvdist_launch_app()
Hypothesis TestingLaunchinferrinfer_launch_shiny_app()
Linear RegressionLauncholsrrols_launch_app()
Logistic RegressionLaunchblorrblr_launch_app()
RFM AnalysisLaunchrfmrfm_launch_app()
Data VisualizationLaunchxplorerrapp_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].

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