Voting Patterns

This Power BI project dives deep into Kenya’s national voting data, using interactive visuals to explore patterns in voter turnout, candidate performance, and rejected votes - all mapped across counties and regions.

Questions Explored:

• Which counties had the highest and lowest voter turnout?
• Who was the leading candidate in each region?
• Where were rejected votes most prevalent?
• Is there a correlation between population size and actual votes cast?

Key Visuals:

• A map of Kenya showing voter turnout per county
• A heatmap comparing registered voters vs actual votes
• Bar charts of candidate performance by county
• Scatter plots linking population to voter participation

Key Insights:

• Some populous counties underperformed in voter turnout
• Wamunyoro showed strong support in coastal and western regions
• Rejected vote percentages exceeded 3% in several counties
• The gap between registered voters and actual votes highlights critical engagement challenges

Tools Used:

• Power BI for dashboards, slicers, maps, and KPIs
• Excel/CSV for data cleaning and structure

Intended Users:

• Civic educators tracking voter behavior
• Policy analysts reviewing turnout gaps
• Political observers studying regional shifts
• Citizens and journalists seeking transparency

Demo available: Watch here