I explore how clustering algorithms like KMeans can be applied to create better sampling methods than using sub-city boundaries in Addis Ababa using spatial data, helping researchers and data collectors rethink how areas are grouped. A starting point, not the final word.
Coming Soon.
Choosing our research topic came naturally when we were assigned our project as third-year statistics majors. We had already observed distinct patterns in how students across different departments and academic years were were using AI tools on campus. Our goal became clear… quantify and visualize this growing dependency. What followed was an insightful journey of dicovery (and a few mistakes along the way). Here’s a look at our findings.
I faced an unusual problem in the middle of The Impostors League project I was working on. The whole project was about using data visualization in a mini game tournament we had organized in our dorm. Initially, I considered using Power BI or Tableau, but both required extra setup for my friends to access my visualizations. That’s when I discovered Google’s Looker Studio—a simpler, more accessible alternative to Power BI. As long as my friends had a Google account, they could instantly access the dashboard. Here’s my experience with it—and what I learned along the way.
Around March, 2025, my friends and I had the idea to start a gaming tournament among ourselves. Our favorite game was a 2024-modded version of Pro Evolution Soccer 2017 (PES 2017). Right away, I knew I wanted to build an interactive dashboard to visualize our gaming stats, ending debates and trash talks we had once and for all.