Role
Data Viz Designer
Timeline
6 Weeks
Platform
Desktop / Mobile
Tools
Figma
Python
BlenderOverview
The Challenge
Reddit Visualizations started as a personal project to explore what large-scale community data looks like when translated into visual form. Using publicly available Reddit API data, I designed a series of interactive and static visualisations examining how information spreads, how communities form, and how sentiment shifts across different subreddits over time.
Research & Discovery
Key Findings
Upvote patterns follow a power law — a handful of posts dominate engagement in every subreddit
Sentiment shifts dramatically within the first 2 hours of a post going live, then stabilises
Network graphs of cross-subreddit user activity revealed surprisingly tight community clusters
Design Process
How We Got There
I built a design system around a dark background with a constrained accent palette — one colour per data dimension, never more than four in a single chart. Typography was set in a monospace face for data labels and a humanist sans for editorial copy, maintaining the technical register of the subject matter while remaining readable.
The project produced five distinct visualisation types: a sentiment timeline, an upvote distribution histogram, a cross-community network graph, a posting-frequency heatmap, and an editorial scroll-story combining annotated charts with narrative text. Each was designed as a standalone piece but used a shared component vocabulary.
Final Design
The Solution
5 distinct visualisation pieces across timeline, network, heatmap, and distribution formats
Shared data viz design system
colour scale, typography, grid, and annotation conventions
Published scroll-story featured in a data design community showcase
