Create an Interactive Data Summary

An R interface for Rho's 'web-codebook' 'JavaScript' charting library, which provides a simple interactive framework for exploring data. 'datadigest' includes two key functions (codebook() and explorer()) that deliver a concise summary of every variable in a data frame, along with interactive features such as real-time filters, grouping, and highlighting. Each function has an associated 'RStudio' addin/'Shiny' app for quick and convenient exploration of one or more data frames.


datadigest 1.0.2

Initial release for datadigest, an R interface for Rho's web-codebook JavaScript library. The r version of the codebook has been built using the htmlwidgets framework and consists of two key functions: codebook() and explorer(). codebook() delivers an interactive interface for a single data frame while explorer() extends this functionality, allowing the user to navigate through multiple data frames.

While codebook() and explorer() can be loaded as HTML widgets using their respective R functions, the package also includes a dedicated Shiny application for each. The shiny applications offer easy access to data currently loaded in the R session, the ability to upload data files, and/or the ability to download a static or interactive data summary. Following package installation, RStudio users may access the two applications via the toolbar as RStudio add-ins.

Reference manual

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1.0.2 by Becca Krouse, 3 years ago

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Browse source code at

Authors: Becca Krouse [cre, aut] , Spencer Childress [aut] , Jeremy Wildfire [aut] , Rho Inc. [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports htmlwidgets, shiny, miniUI, Hmisc, htmltools, haven, jsonlite, tibble, datasets

Suggests knitr, rmarkdown

See at CRAN