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 .
Good to know
- Allows a quick overview of the data distribution.
- Visualize patterns with ease.
- Easy to interpret and understand.
- Outliers are quick to identify.
- Existence of relationship (or non relation) between variables is quickly established.
- Can handle a large number of data sets.
- Flexible, as functions with almost any continuous scale data.
- A scatter chart can be easily cluttered with a large number of series.
- Can be complex to determine with accurate distribution, correlations, and patterns.