The distribution plot is intended to compare the range and distribution for groups of numerical information
The distribution plot visually evaluates the distribution of sample information by making a comparison of the empirical distribution of the data with the theoretical value sets anticipated from a predefined distribution.
In this type of data visualization, the information is marked as data points along an axis to display how the data is distributed across your measure (task completion, for instance). The bounding box around the value points features the range of the data distribution.
The distribution plot sorts out a lot of information and visualizes outlier values.
In addition, you can use the distribution plots to make formal hypothesis tests to define if the sample information comes from a specified distribution.