VISUALISE FROM ggsql:penguins
DRAW point
MAPPING bill_len AS x, bill_dep AS y, species AS fillPoint
Layers are declared with the
DRAWclause. Read the documentation for this clause for a thorough description of how to use it.
The point layer is used to create scatterplots. The scatterplot is most useful for displaying the relationship between two continuous variables. A bubblechart is a scatterplot with a third variable mapped to the size of points.
Aesthetics
The following aesthetics are recognised by the point layer.
Required
- Primary axis (e.g.
x): Position along the primary axis. - Secondary axis (e.g.
y): Position along the secondary axis.
Optional
size: The size of each pointcolour: The default colour of each pointstroke: The colour of the stroke around each point (if any). Overridescolourfill: The fill colour of each point (if any). Overridescolouropacity: The opacity of the pointshape: The shape used to draw the point
Settings
position: Position adjustment. One of'identity'(default),'stack','dodge', or'jitter'
Data transformation
The point layer does not transform its data but passes it through unchanged
Orientation
The point layer has no orientation. The axes are treated symmetrically.
Examples
Create a classic scatterplot
Map to size to create a bubble chart
VISUALISE FROM ggsql:penguins
DRAW point
MAPPING bill_len AS x, bill_dep AS y, body_mass AS sizeUse filter to only plot a subset of the data
VISUALISE FROM ggsql:penguins
DRAW point
MAPPING bill_len AS x, bill_dep AS y, species AS fill
FILTER sex = 'female'When points are plotted on a discrete scale you will likely see a lot of overplotting. Use jitter position to introduce a bit of random offset to counter that.
VISUALISE species AS x, sex AS y, island AS fill FROM ggsql:penguins
DRAW point
SETTING position => 'jitter', distribution => 'normal'Use density distribution for a violin-like jitter effect, where jitter width scales with local data density.
VISUALISE species AS x, bill_dep AS y FROM ggsql:penguins
DRAW point
SETTING position => 'jitter', distribution => 'density'