I am beginning to feel like I am writing a book here. However, I wanted to cover a new visualization which is hot off the press. It’s one of my favorites; Parallel Coordinates. Kai Chang has done some excellent work with respect to this visualization over here.
Why Parallel Coordinates are awesome.
- They can show a large number of linear relationships at a glance.
- They are relative easy to interpret.
- The D3 version is brushable so that you can select multiple sub-ranges of interest.
Example #1 : The Simple Sample
Ok, enough with the chatter, lets show the reusable version of these:
This diagram depicts 30 relationships across 40 variables without seeming too imposing.
Example #2 : More Data!
This example depicts 80 relationships across 90 variables.
Example #3 : Parallel Coordinates interacting with a map.
Saving the best for last, this demonstrates how nicely Parallel Coordinates can fit into a visualization; providing a powerful way to slice and dice a large amount of data. This visual presents 50 states and 26 tax categories. That’s well over 1000 variables and relationships!
That’s it for tonight…more soon…