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.

Client
HarrisX
Region

North America

Year

2018

Sectors
  • Democracy and Governance
Solutions
  • Election Results
  • Surveys
Understanding US Congressional Election Polls and Prediction Models

Impact

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.

Services

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Visual Data Analytics and Dashboarding

Web Design and Development

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