Scatter Plot

Through Scatter Plots, users can display two or more variables’ values using a collection of points in Cartesian coordinates.

The position where a point is placed corresponds to a value: the size of each circle is proportional as a default to the frequency of the values in the dataset. They are used for plotting quantifiable relationships between values in order to identify anomalies, data variance, groups. They are very useful if users wish to understand if there are any general relationships within the data.

Dimension (mandatory fields are in bold)

Type

Description

X

axis/grid

It controls the coordinates used on the x-axis.

Y

axis/grid

It controls the coordinates used on the y-axis.

Color

target

It controls the marker color of the generated traces.

Style

target

It controls the marker style of the generated traces.

Size

output

It uses the linked attributes as weight operators to evaluate the size of each circle.

Note

The marker color is also used to show negative values for the output attributes provided in the Size dimension. If the evaluated output value for a particular point is negative, the marker is painted only on its edges. Otherwise, for standard positive values for the output, the marker will be painted inside, and it will be left white on the edges.


Size dimension menu add-ons

Since the Size dimension is an output dimension, and since this plot has more than one target dimension, a dedicated entry in the Dimension option menu is added, to allow users to customize the target attribute to be used if multiple output attributes have been defined. The option is Target ignored (in case of multiple output), due to the fact that the used attribute will become disabled and its content will be ignored until there will no longer be a multiple output attribute definition.