Alluvial plots are similar to sankey diagrams and visualise categorical data
over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in
Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694>
Their graphical grammar however is a bit more complex then that of a regular x/y
plots. The 'ggalluvial' package made a great job of translating that grammar into
'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial
plot, however there still remains a multi-layered complexity that makes it difficult
to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple
interface to this package that allows you to produce a decent alluvial plot from any
dataframe in either long or wide format from a single line of code while also handling
continuous data. It is meant to allow a quick visualisation of entire dataframes
with a focus on different colouring options that can make alluvial plots a great
tool for data exploration.

Generate Alluvial Plots with a Single Line of Code

package-ubuntu-20.04-r-4.0.5#cran#easyalluvial-0.3.0

A data frame with 891 rows and 10 variables

<dl>
<dt>Survived</dt>
<dd>
Survived
</dd>
<dt>Pclass</dt>
<dd>
Pclass
</dd>
<dt>Sex</dt>
<dd>
Sex
</dd>
<dt>Age</dt>
<dd>
Age
</dd>
<dt>SibSp</dt>
<dd>
SibSp
</dd>
<dt>Parch</dt>
<dd>
Parch
</dd>
<dt>Fare</dt>
<dd>
Fare
</dd>
<dt>Cabin</dt>
<dd>
Cabin
</dd>
<dt>Embarked</dt>
<dd>
Embarked
</dd>
<dt>title</dt>
<dd>
title
</dd>
</dl>

package-ubuntu-20.04-r-4.0.5#cran#easyalluvial-0.3.0#docs#titanic

titanic

Description

Usage

Format

Source

easyalluvial

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