Mozilla Labs a and the Metrics Team have a open data set Test Pilot. Firefox can opt in this study by using Test Pilot add-on or installing Firefox 4. The data including many events data such as average browser session, average private browsing percentage, average active browsing percentage, average number of bookmarks, aver number of bookmark folders, average bookmark depth, average number of tabs, and average number of windows, and some demographics data from an optional survey they sent out to their users.
Our idea is to use Parallel Sets to deal with categorical data (such as gender, age, and technical skill level) and use Parallel Coordinates to present single variable. As for interactive interaction, users can change the order of the coordinates and show/ hide selected coordinates to better compare the data of interests. Also, users can click on the "filters" on each variables to make interested data stand out.
Due to the time constraint for the submission of the competition, only part of the interactions are implemented. The original idea of changing the order of coordinates by drag-and-drop has been compromised with entering numbers to determine the order and the "filter" function has been left out.
The Mozilla Labs The Metrics team co-host a Open Data Visualization Competition based on Test Pilot data with a goal of looking for creative and innovative visualization to answer the question "How do people use Firefox ?" As a result, we decided to use the combination of Parallel Coordinates and Parallel Sets to presenting the user data of Firefox with a goal of helping developers and designers understand the usage of Firefox and improve its design.
My role: Brainstorming potential visualizations, researching, wireframing, designing and managing project presention website
Course: Information Visualization
Duration: 11.2010-12.2010
Teammates: Jim Steinberger, Bo Wang, Yue Sun, Yiwei Ma
Technology used: Protovis, Adobe Illustrator