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.


Reference manual

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install.packages("funModeling")

1.9.6 by Pablo Casas, 8 months ago


https://livebook.datascienceheroes.com


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, rlang, utils, RColorBrewer, moments, entropy, cli, stringr

Depends on Hmisc

Suggests knitr, rmarkdown


See at CRAN