Explore Your Data Interactively

Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.


ExPanDaR 0.3.0


  • Removed the requirement for at least one non-numerical variable

  • Added by group violin plot

  • Included '!' and 'is.na()' as allowed functions for user defined variables

  • Introduced the option to change the order of reported components and to exclude selected components

  • Added clustered standard errors and fixed effects for logit models in prepare_regression_table()

  • Implemented binary response logit models in ExPanD()

Bug fixes:

  • Fixed a sorting bug in long variable definition construction

  • Fixed a bug in ExPanD() extreme obs plot (was sorting on grouping variable)

Minor issues:

  • Removed the dependency with the CodeDepends package

  • Added rio package to the imports list

  • Added packages used by ExPanD() to NAMESPACE to make CRAN checks happy

  • UI cleanups

  • Fixed the definition of oint_ta in r3 dataset

  • Added a check to verify that ts_ids provided as ordered vectors

  • Fixed a typo in worldbank_var_def

  • Removed the drop_undersore parameter in prepare_regression_table() (no longer needed)

  • Work-around for special characters in stargazer column.labels

  • Marginally improved error handling for user provided data files

  • Allowed treat_outliers() to route parameters through to stats::quantile() (needed for type parameter)

  • Changed NA handling in "prepare_graph" type functions

Reference manual

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