Scatter Plot is the default visualization type. It visualizes the values of points by positioning them in space according to their value for the features mapped to the X, Y, and Z axes. It is great for visualizing numerical features.
Required Features and Dimensions
Scatter Plot requires at least one feature mapped to at least one of the positional dimensions. Mapping one axis creates a 1D scatter plot, mapping two creates a 2D scatter plot, and mapping three creates a 3D scatter plot.
Although any feature type can be mapped to a Scatter Plot axis, Scatter Plots work best with continuous numerical features. Mapping a categorical feature to an axis, while supported, can cause points to cluster and overlap. For mixing categorical and numerical features, consider alternate plot types such as Violin Plot or Histogram.