Exploratory Data Analysis System

Performs an exploratory data analysis through a shiny interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-means method.


Reference manual

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1.0.1 by Oldemar Rodriguez, 2 months ago


Browse source code at https://github.com/cran/discoveR

Authors: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.

Documentation:   PDF Manual  

GPL (>= 2) license

Imports shiny, shinyAce, FactoMineR, shinydashboard, shinydashboardPlus, shinyWidgets, colourpicker, shinyjs, knitr, DT, promises, ggplot2, rstudioapi, factoextra, reshape, corrplot, dendextend, scatterplot3d, stringr, future, rmarkdown, zip, ggdendro, stringi, rgdal, raster

See at CRAN