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.
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")
.
# NOT RUN {
# load diamonds dataset from ggplot2
require(ggplot2)
data(diamonds)
# create tableplot
tableplot(diamonds)
# }
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