You can download my interesting processing file here: DataDrawingMachine
This is a small sample of data collected from the Divvy stations throughout the city. Each ride contains a list of the members trip ID#, station location, distance traveled from each station, and the duration of each trip.
The data is based on where Chicago has installed bike racks and in what ward. The white circles each represent a ward and the yellow dots represent how many racks are installed within that ward.
In his 2007 book Visualizing Data, Ben Fry breaks down the data visualization process into 7 common steps:
- Acquire: Obtain the data, whether from a file on a disk or a source over a network.
- Parse: Provide some structure for the data’s meaning, and order it into categories.
- Filter: Remove all but the data of interest.
- Mine: Apply methods from statistics or data mining as a way to discern patterns or place the data in mathematical context.
- Represent: Choose a basic visual model, and draw the data.
- Refine: Improve the basic representation to make it clearer, more meaningful, and more visually engaging.
- Interact: Add methods for manipulating the data or controlling what features are visible.
However, this is not a linear process. It is iterative.