Understanding US Congressional Election Polls and Prediction Models
Keshif built an exploratory dashboard to analyze and geo-spatially visualize a rich proprietary data model based on multilevel regression with poststratification (MRP) to predict Congressional race outcomes and potential upsets for the 2018 House of Representatives elections.
The dataset derives from monthly polling of 50,000 households conducted by HarrisX, a nationally recognized polling agency in the United States. Using our solution, audiences can explore results for 435 Congressional Districts through interactive regional and hexagonal maps, and a detailed tabular district view consisting of information related to district status, forecasts, the incumbent party, and approval ratings of the U.S. President.
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