GPXFIT

Multi Charts

The Multi Charts tool lets you view multiple data channels from your activity simultaneously in synchronized, stacked charts. This makes it easy to spot correlations between metrics like speed, heart rate, power, and elevation.

Overview

Multi Charts displays up to six data channels in aligned time-series charts:

  • Elevation - Altitude profile along the route
  • Speed - Velocity over time (from GPS or sensor data)
  • Heart Rate - Heart rate monitor data
  • Power - Power meter output (cycling)
  • Temperature - Ambient or body temperature
  • Cadence - Pedaling or running cadence

Only channels that contain data in your file will be shown.

Synchronized Interaction

All charts are linked together:

  • Hover over any chart to see a vertical crosshair across all charts at the same point in time
  • Zoom into a section on one chart and all charts zoom together
  • Pan across the timeline and all charts follow

This synchronization makes it easy to analyze how different metrics relate to each other at any point during your activity.

Data Smoothing

The tool applies a configurable moving average to smooth noisy data. This helps reveal trends without the distraction of point-to-point noise, especially useful for power and speed data.

When to Use

Correlation Analysis

Use Multi Charts to answer questions like:

  • Does my heart rate rise when the gradient increases?
  • How does my power output relate to speed on flat vs. hills?
  • Does my cadence drop when climbing?

Pacing Review

View speed and heart rate together to check pacing consistency throughout an activity.

Equipment Check

Compare power and speed charts to identify drivetrain issues or sensor anomalies.

Data Requirements

Channel Requires
Elevation Elevation data in track points
Speed GPS coordinates (calculated) or speed sensor data
Heart Rate Heart rate monitor
Power Power meter
Temperature Temperature sensor
Cadence Cadence sensor

Tips

  • Toggle individual channels on/off to focus on the metrics that matter most
  • Use the zoom feature to examine specific intervals in detail
  • Smoothed data is better for trend analysis; raw data for identifying sensor issues