One post tagged with "leaders"

Overview​

Political leaders carry the identity of electoral shifts. I designed the Leader Index Page to give a comprehensive view of every major leader’s journey—through elections, parties, positions, and scandals.

This article explains how I structured leader data, visualized career movements, and surfaced meaningful insights.

Leader Profile Fields​

Each leader includes:

• Name + Local name
• Birthdate, gender, bio, education
• Party affiliation history
• Election records (vote counts, wins/losses)
• Cabinet roles and government positions
• Associated scandals and ratings

Election History Tracking​

Each leader has a timeline of contests:

{
  year: 2074,
  district: 'Kathmandu-4',
  party: 'NC',
  votes: 36500,
  rank: 1
}

Visualized using a line + bar chart hybrid with annotations for debut, loss, comeback, etc.

Party Switch Insight​

Switches are detected by comparing partyId across elections and government roles. I annotate leader cards with indicators like:

• Switched from UML to RSP in 2079
• Left party after scandal

Biography Display​

Bios are shown with support for multiple languages, tags (e.g. “Lawyer”, “Journalist”), and dynamic quote sections. Photos are embedded if available.

Related Modules​

Each leader’s page links to:

• Elections contested
• Governments served
• Ratings and polls
• Scandal timelines (if any)

This creates a centralized profile that’s context-aware.

Summary​

The Leader Index is not just a list—it’s a political memory map. With structured biographical fields, electoral history, and dynamic insights, it forms a powerful resource for researchers, voters, and students.

Next: I’ll cover how I handled constituency-level election results and map overlays to show spatial trends.