About Our Project

Meet the Team

Daniel Högen
Meltem Özdag
Moritz Reichelt
Igor Suslov
Yunus Emre Yavuz

What is this?

This project is part of the course "Information Visualization" at LMU Munich. It aims to provide an interactive and engaging way to explore the Strava dataset of our professor, Andreas Butz.

Download Strava Dataset GitLab Repository

Data Overview

The dataset contains information about activities such as running, cycling, and swimming. It includes details like distance, duration, and calories burned.

Features

Monthly Activity Charts: Line and bar charts display monthly distances.
Pie Charts: One shows total activity time; another illustrates distance per activity.
Activity Calendar: A GitHub-style calendar with daily hour breakdowns.
Interactive Map: Visualizes activity paths and routes in real-time.
Scatter Plot: Correlates heart rate with pace for performance insights.
Calorie vs Food Bar Chart: Compares calorie expenditure against food consumption.
Switch between Datasets: Live switching between years and different datasets.
Bonus: Butz Gallery

Tech Stack

Next.js: Frontend and API routes
Vercel: Deployment platform
Recharts: Data charts and visualizations
Python: Data processing and preparation