Marcel Weschke mwio
  • Germany
  • https://marcel.weseng.de/
  • Data Analyst | Data Science & ML | Economics | Python · R · SQL | Automation & Reproducible Workflows | M.Sc. Data Analytics

  • Joined on 2021-03-18
Emacs Configuration
Updated 2026-08-08 13:07:53 +02:00
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
ControlDeck
Updated 2026-01-04 12:31:58 +01:00