Scatter Plot

The Scatter Plot reveals correlations and dependencies between two or more numeric properties. Each data point is a single measurement plotted by its field values on the X and Y axes, making clusters, outliers, and trends immediately visible.

Video: https://www.youtube.com/watch?v=wX4ro6FfyaE

Drop one numeric field onto X-axis and another onto Y-axis. Each measurement becomes a dot at the intersection of its two values.

  Y-axis: heat_consumption
  X-axis: energy_consumption

  heat │                    ●
       │          ●    ●
       │     ●  ●
       │   ●
       │ ●
       └────────────────────── energy
         low              high

  Trend: higher energy → higher heat (positive correlation)

When you need to compare more than two dimensions at once, add grouping fields to the Series section. Each unique combination of group values gets a distinct color, making it possible to spot patterns across multiple segments in a single chart.

Example: Compare heat and energy consumption across buildings and floors — each floor of each building is a separate color group.

  Y-axis:  heat_consumption
  X-axis:  energy_consumption
  Series:  building name + floor

  heat │  ● Retroville F1    ○ Retroville F3
       │     ● Astarta F1
       │  ○        ○
       │     ●  ●     ○
       │  ●
       └────────────────────────── energy

  ● = Retroville F1/F3 (clustered low-right = efficient)
  ● = Astarta F1 (clustered high = less efficient)