House (lower-right), and Governor (lower-left). To visualize district data elements, each congressional district is subdivided into four quadrants representing the four elections of interest: President (upper-left), U.S. House, and 2010 state Governor elections, with an Democratic incumbent loss of the U.S. Pennsylvania's 4th district ( larger image), showing Republican choices in the 2012 Presidential, U.S. A 11, state electoral college vote countįig.A 10, state Governor incumbent win/loss.House seats controlled by the majority party A 5, party with the majority of the state's U.S.Congressional district data elements contain nine data attribute values, and state-wide data elements contain eleven data attributes: Given these requirements, we built a dataset with two types of data elements representing congressional district results and state-wide results, respectively. A final state-specific value we wanted to visualize is the number of electoral college votes each state controls, since this affects the state's influence during the Presidential election. These aggregates would be difficult or impossible to determine by looking at district results alone. House, and state Governor races.Although results presented by congressional district are novel and interesting, we also need to show aggregates for each state, for example, which party's candidate won the state for the Presidential, U.S. We therefore wanted to highlight where an incumbent lost during an election cycle for President, U.S. Incumbent party losses are particularly important, since they can change the balance of power throughout the country. Results were tabulated by congressional district: for each of the 435 districts spread throughout the 50 United States, we collected or estimated which party's candidate the district's voters selected for each of the four offices. House, and most recent state Governor's elections. In order to investigate voting patterns across the United States, we decided to visualize winning candidates for four elected offices: the 2016 Presidential, most recent U.S. House,īut chose an Repubican state Governor in 2014 (Fig. Massachusetts, a "blue state", voted for DemocratĬandidates for 2012 President, 2014 U.S. House elections, but selected aĭemocrat candidate for the 2012 state Governor election State", chose Republican candidates for the 2012 Presidential,Ģ014 U.S. To a state as "red" or "blue", very few statesįit this simple dichotomy. Individuals vote for different elected offices. Our practical interest during this project is to study how groups of (a) Montana ( larger image) (b) Massachusetts ( larger image) The challenge is to find effective ways to present even some of this data together in a single image. A multidimensional dataset D contains m data elements, D = , representing n data attributes A = ( A 1, ., A n ), that is, e i = ( a i,1, ., a i,n ), a i,j∈ A j. We are particularly interested in multidimensional visualization techniques. Research in our laboratory focuses on visualization, the conversion of large collections of strings and numbers into images that viewers can use to explore, analyze, and validate within their data. Results for the 2014–2015 election cycle are archived here. Maps of other states and the United States as a whole are available at the bottom of the web page: House election (lower-right), and the most recent Governor election (lower-left) color represents party (blue for Democrat, red for Republican, green for Independent), and saturation represents the winning percentage (more saturated for higher percentages) the small disc floating over the state shows aggregated state-wide results incumbent losses are highlighted with textured X's the height of the state represents the number of electoral college votes it controls Election results for North Carolina ( larger image), each of the 13 congressional districts are subdivided into four quadrants to show which party's candidate the district's voters selected for the 2012 Presidential election (upper-left quadrant), the most recent U.S. Department of Computer Science, North Carolina State Universityįig.
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