Description
You can include up to two dimensions and one measure in a distribution plot. You can choose to display only the value points to see the distribution of values, a bounding box to see the range of values, or both.
Each line corresponds to a value of the second dimension, and the distribution of the values of the measure determines the length of the box. A stretched box represent a high distribution of values, while a compressed box represents values with a low distribution.
The distribution plot can be horizontal or vertical.
When to use it
The distribution plot is suitable for comparing range and distribution for groups of numerical data.
Advantages
The distribution plot organizes large amounts of data, and visualizes outlier values.
Disadvantages
The distribution plot is not relevant for detailed analysis of the data as it deals with a summary of the data distribution.