This visualization aims to study and understand the relationships between the different attributes of a car. The plots only use a subset of 12 of the 26 variables. These are the variables that I personally consider most important after doing a statistical PCA and MCA.

This visualization uses a Parallel Coordinates Plot as the main plot and then three secondary plots: two donuts and one data table (SlickGrid library). All these plots all linked and synchronized. Any modification in any plot is translated to the others.

I provide many tools to explore the data. Try hovering the donuts, or the data table. Brush the parallel coordinates plot or sort the table!

The data used in this example is contained in the folder assets/data in .csv format and can be found [here] (http://archive.ics.uci.edu/ml/datasets/Automobile)

For any reason D3 does not work well with Chrome and CORS origin so if you want to try it, is better to use Firefox.