This is the Parallel Coordinates chart section of the gallery. If you want to know more about this kind of chart, visit data-to-viz.com. If you're looking for a simple way to implement it in d3.js, pick an example below.
The ggally package is a ggplot2 extension that allows to build parallel coordinates charts thanks to the
parcoord() function. It allows to beneficiate the grammar of graphics and all the usual ggplot2 customization.
Scaling variable is a crucial step to build a proper parallel coordinates chart. It transforms the raw data to a new scale that is common with other variables, and thus allow to compare them. The
ggally package offers a
scale option that computes the most common types of scaling:
The MASS library allows to build parallel coordinates chart thanks to the
parcoord() function. Learn how to use the function, how to reorder variables, how to custom the color palette and how to highlight a group on the chart.
The web is full of astonishing R charts made by awesome bloggers. The R graph gallery tries to display some of the best creations and explain how their source code works. If you want to display your work here, please drop me a word or even better, submit a Pull Request!