

Highlight 1
The visualization of precinct-level data is highly engaging and easy to understand, making it accessible for users with varying levels of data literacy.
Highlight 2
The use of population density to distribute vote dots adds an important dimension to the data, providing a more accurate picture of electoral demographics.
Highlight 3
The side-by-side comparison feature for 2016 vs 2020 results effectively showcases the evolution of voting patterns, which is beneficial for analysts and curious voters alike.

Improvement 1
The application could enhance its user interface by incorporating real-time updates of election results as they come in.
Improvement 2
Adding interactive features, such as the ability to filter results by specific demographic data or geographic locations, would improve user engagement.
Improvement 3
An option to download or export data visualizations in various formats could broaden the utility of the tool for researchers and journalists.
Product Functionality
Integrate real-time updates for upcoming elections and enhance filtering options for user-customizable data visualization.
UI & UX
Revamp the UI to include more intuitive navigation and guidance for first-time users, along with better responsive design for mobile devices.
SEO or Marketing
Increase online visibility by creating content related to election data analysis and utilizing social media platforms for broader outreach.
MultiLanguage Support
Consider adding multiple language options to cater to a diverse audience, especially in areas with a significant number of non-English speaking voters.
- 1
What data does VoteMap use for its visualizations?
VoteMap uses precinct-level election results and data from the 2020 Census block non-incarcerated voting-age population totals.
- 2
Can I compare election results from different years?
Yes, VoteMap allows you to compare election results from 2016 and 2020 side-by-side.
- 3
What technology powers the VoteMap application?
VoteMap uses MapLibre for the frontend and a vector-tile service called Tippecanoe to generate the data tiles.