Sensus makes it easy for reporters to find U.S. Census data that will inform or guide their reporting.
What it does
Sensus is designed to make the otherwise challenging task of sifting through vast quantities of U.S. census data more manageable. Sensus offers a quick way for journalists (or members of the general public) to navigate census data, which may inspire stories or confirm or refute facts the reporter is using. Users drill into the data through a series of drop down menus, the results of which are shown in a tri-colored map that allows the user to quickly identify high, low and outlier values.
How it works
- Expand range of project to include more of the data recorded by the U.S. Census.
- Improve statistical analysis to let users quickly spot outliers using stats-based visuals.
Initial Concept: Rich Gordon
Student Team: Jason Peterson (journalism), Sai Kolli (computer science), Saman Sheikh (journalism), Shaker Islam (computer science)
Faculty Guidance: Larry Birnbaum, Rich Gordon, and Kris Hammond (with assistance from Shawn O’Banion)