Scatter Plot

The Scatter Plot visualization is a powerful tool for visualizing the relationships between two numerical variables. It uses points on a Cartesian plane to represent individual data points, making it easy to identify patterns, correlations, and outliers.

Scatter Plot Data Structure

To represent a Scatter Plot, you can use the following ScatterData interface:

type ScatterPoint = with_optional_properties & {
  value: [number, number];
  category: string;
};

type ScatterData = {
  points: ScatterPoint[];
};

Key Attributes

value: An array of two numerical values [x, y], representing the coordinates of a data point on the X and Y axes.
values: A string indicating the category or group to which the data point belongs.

Pros and Cons

Pros

Relationship Identification: Scatter Plots excel at revealing relationships, patterns, and trends between two numerical variables.
Outlier Detection: Outliers, or data points that deviate significantly from the norm, are easily identified on a Scatter Plot.

Cons

Potential Overplotting: In cases with a high density of data points, overplotting may occur, affecting the visibility of individual points.