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.