Here is a parallel coordinates plot for cars based on their MPG, cylinder, displacement and horsepower You can tell a lot about the data from looking at this visualization.

In the recent years, high-dimensional data visualization has become a challenging task in data science and machine learning. As one of the most effective methods for high-dimensional data ...

Learn the pros and cons of parallel coordinates, a method for visualizing multivariate ordinal data, and how to apply best practices to create effective and engaging plots.

This paper presents the design of a tool that enables the exploration of multivariate heterogeneous data by combining the strengths of Parallel Coordinates and Parallel Sets. The design relied on the ...

This MATLAB tool makes parallel coordinates plots with paper quality. Parallel coordinates plots allows the visualization of high-dimensional data. The following features are implemented: Filtering ...

Alfred Inselberg provided parallel coordinates plots as alternatives to the table of the expenditures data in the Graph Makeover Contest.

Learn about three effective visualization techniques for analyzing association rules: scatter plots, matrix plots, and parallel coordinates. Apply them using Python and R.

Data visualization methods such as parallel coordinate plots and scatter plots displayed in an array can be highly useful 2D visualization techniques for high-dimensional data.

Our interactive visualization tool is the first application of parallel coordinates to represent patient data mapped to a validated clinical nomogram or risk prediction tool.