Exploratory Data Analysis and Data Preparation Tool-Box

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (< https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.


funModeling v1.2 (Release date: 2016-xxxxx)

  • New function prep_outliers to deal almost automatically with them
  • New function plotar, which

Minor improvements:

  • New parameter in df_status: print_results, if FALSE then there isn't a print console.
  • If str_input is missing in cross_plot , then it runs for all variables

funModeling v1.1 (Release date: 2016-03-14)


  • Bug fix when automatically creating the folder in cross_plot

  • massive_cross_plot will be deprecated since now cross_plot covers the same functionality

  • Vignette improvements

funModeling v1.0 (Release date: 2016-01-25)

Initial version.

Reference manual

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1.9.4 by Pablo Casas, a year ago


Report a bug at https://github.com/pablo14/funModeling/issues

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

Authors: Pablo Casas [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr, lazyeval, utils, RColorBrewer, moments, entropy, cli, stringr

Depends on Hmisc

Suggests knitr, rmarkdown

See at CRAN