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2D Scatter Plot

Examples​

2D Scatter Plot Example

Context​

A 2D Scatter Plot is a visualization that displays points on a two-dimensional graph to reveal relationships between two numerical variables. Each point represents an observation in the dataset.

Inputs​

  • X-axis (numerical variable)
  • Y-axis (numerical variable)

Settings​

  • Chart Name (customizable title)
  • Chart Legend (define or modify legend text)
  • Point Opacity (adjust transparency of points)
  • Point Size (modify size of data points)

Axis Controls​

  • X-axis (select a column for X values)
  • Y-axis (select a column for Y values)
  • Rotate Y-axis labels (toggle rotation for readability)
  • Y-axis text size (adjust text size via slider)
  • Y-axis width (modify width for layout optimization)
  • Rotate X-axis labels (toggle rotation for better fit)
  • X-axis text size (adjust via slider)
  • X-axis height (modify spacing for long labels)

Color Settings​

  • Color By (choose a variable for color encoding)
  • Show Color Legend (enable/disable legend)
  • SymLog Color Scale (apply logarithmic scaling)
  • Trim Color Scale (adjust percentile range for color mapping)
  • Treat Zero as Missing (ignore zero values in visualization)

Tooltip & Interaction​

  • Show Tooltip (toggle tooltip display)
  • Tooltip Value (select which data appears in the tooltip)
  • Centre Plot (reset and center visualization)

Filtering & Display​

  • Action on Filter
    • Hide Points (remove filtered-out points)
    • Gray Out Points (dim non-selected points)
  • Background Color
    • None, White, Light Gray, Gray, Black

Brush & Selection​

  • Brush Type
    • Free Draw (polygonal selection)
    • Rectangle (box selection)

This scatter plot is a powerful way to visualize relationships between variables, detect clusters, and identify outliers in data.