Heatmap

The Heatmap shows how data points are distributed across two dimensions. The plot area is divided into buckets (grid cells), and each bucket is colored based on how many points fall into it. This makes clusters, gaps, and density patterns in the data easy to spot.

📊 How to read it (with default colors):

• Blue = fewer points in a bucket

• Red = more points in a bucket

• Buckets between these extremes are shaded on a blue-to-red gradient.

Settings

Accessible via the ⚙️ (settings wheel) in the top-right corner of the plot:

• X and Y axes – Select which variables define the horizontal and vertical dimensions.

• Plot limits – The limits on the x or y axes, or auto to take the min/max from the data

• Resample signals – Relevant when your signals have different timestamps

• Color range – Change the lower and upper colors (default is blue–red) or the bucket count fraction. Buckets with fewer points than a specified fraction of the most populated bucket are shown in the lower color. Buckets with more points are shaded on a gradient up to the upper color.

• Opacity – Opacity of the plot

• Filters – Filter datapoints based on conditions