- Germany
- https://marcel.weseng.de/
-
Economics Graduate | Analytical, reliable & data-driven | Experience in Machine Learning, Data Analysis & Structured Problem-Solving
Work experience: University of Hamburg, German Electron Synchrotron (DESY), Philips Medical Systems
- Joined on
2021-03-18
Block a user
Interactive Dash Dashboard for GPX/FIT-Based Running Data Analysis
This Python Dash app provides an interactive visual dashboard to analyze GPX/FIT tracking data from running sessions. After selecting a GPX/FIT file, the app processes the data and displays multiple synchronized plots, including:
- A dynamic route map with start/stop markers
- A relative elevation profile with gradient fill
- Speed over time with smoothing
- Heart rate over time with smoothing
- Deviation from average speed ("ghost runner")
- A summary banner showing total distance and duration
The app helps runners and hobby athletes explore performance, pacing, elevation, and route efficiency—all visualized intuitively using Plotly and Dash.
Updated 2026-05-20 13:50:36 +02:00