tabplot-package: Tableplot, a visualization of large datasets

In mtennekes/tabplot: Tableplot, a Visualization of Large Datasets

Description

A tableplot is a visualisation of a (large) dataset. Each column represents a variable and each row bin is an aggregate of a certain number of records. For numeric variables, a bar chart of the mean values is depicted. For categorical variables, a stacked bar chart is depicted of the proportions of categories. Missing values are taken into account. Also supports large ffdf datasets from the ff package.

Details

The main function of the package is tableplot, which is used to create a tableplot. Other useful functions are:

• itableplot to start a graphical user interface (made with the shiny package);

• tablePrepare to prepare a large dataset. Tableplotting is much faster when the returned object is passed on to tableplot rather than the dataset itself;

• tablePalettes to show all quantitative and qualitative palettes that are included;

• tableSave to save a tableplot;

• tableChange to make layout changes to a tableplot.

For a quick intro, see vignette("tabplot-vignette").

Author(s)

Martijn Tennekes [e-mail] and Edwin de Jonge

References

Tennekes, M., Jonge, E. de, Daas, P.J.H. (2013) Visualizing and Inspecting Large Datasets with Tableplots, Journal of Data Science 11 (1), 43-58

Examples

# load diamonds dataset from ggplot2
require(ggplot2)
data(diamonds)

# create tableplot
tableplot(diamonds)

mtennekes/tabplot documentation built on March 8, 2021, 6:11 p.m.