A **Scatterplot** displays the value of **2 sets of data** on 2 dimensions. Each dot represents an observation. The position on the X (horizontal) and Y (vertical) axis represents the values of the 2

variables. It is really useful to study the **relationship** between both variables. It is common to provide even more information using colors or shapes (to show groups, or a third variable). It is also

possible to map another variable to the size of each dot, what makes a bubble plot. If you have many dots and struggle with** overplotting**, consider using 2D density plot.

**Input format**

*Format 1*: 2 numerical variables

*Format 1*: 2 numerical variables AND 1 categorical.

**Seaborn**

**Matplotlib
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**Bad Chart**

**related**