README.md

In jomuller/dfexplore: Explore data.frames by plotting NA and classes of each variable

dfexplore

Description

dfexplore is a R package. The aim of dfexplore is to quickly explore a data.frame, graphicaly and by creating a report (not implemented yet) which show the missing values (number and distribution) and classes of data.

To install or update, run in R :

install.packages("dfexplore")

The main function is dfplot(), which display graphicaly the data.frame. Plotting is based on ggplot2.

library(dfexplore)
dfplot(example_df)

Changelog

0.3 - Work in progress

Improvements

• Use roxygen2 documentation tool
• Use image() accelerate dfplot() and avoid ggplot2 if not available.
• Use package(testthat) for unit testing
• Allow to dfplot() big data.frame by merging rows (and analyze them by group of 10 or 100, depending the size)
• Documentation : Write difference between dfplot method for data.frame and dfdescription

Add

• dfplot() : Add a flipped presentation available for better readbility
• Add plot_evol() function.

0.2.1 - Released the 2013-01-16 on CRAN

Bugfixes based on Bill Venables feedback

• dfplot() now display correctly the title of the data.frame object.
• dfplot() is able to deal with data.frame including matrix.
• Use LazyData

Add

• simulate_dataframe() to create randomly generated data.frames with NAs and strange data.frames with matrix included
• expand_dfmatrix() to transform a data frame with matrix to a data frame without matrix.

Expand

• Better documentation of dfplot(), with examples of ggplot use

v0.2 - Released the 2013-12-12 on CRAN

Add - dfplot() display a plot with classes and NA in a data.frame

v0.1

Simple ggplot function to display NA in a data frame

jomuller/dfexplore documentation built on May 19, 2019, 7:26 p.m.