Scatter

Scatter charts, also known as scatter plots or scatter graphs, are often used to display continuous data distribution.

The demo below shows the players’ distribution by height (x-axis) and weight (y-axis) of three different disciplines: basketball (284 players), triathlon (109 participants), and volleyball (382 players). Thanks to the scatter chart, we get an immediate impression of the athletes’ distribution, including the outliers .

Nice to know


Pros:
  1. •

    Allows a quick overview of the data distribution.

  2. •

    Visualize patterns with ease.

  3. •

    Easy to interpret and understand.

  4. •

    Outliers are quick to identify.

  5. •

    Existence of relationship (or non relation) between variables is quickly established.

  6. •

    Can handle a large number of data sets.

  7. •

    Flexible, as functions with almost any continuous scale data.

Cons:
  1. •

    A scatter chart can be easily cluttered with a large number of series.

  2. •

    Can be complex to determine with accurate distribution, correlations, and patterns.