Geometry layer

Aesthetic mappings

In the transition layer

After the scales

The user can carry out the actions needed to acquire the desired information in the data.

The graphic should use bright colours and animations to captivate the viewer's attention.

The graphic should provide users with customisable options to alter the dataset for their own analysis.

There is lots of different types of expressions, but at a minimum the user can pan and zoom.

Shadows

Zooming

Views

Transition

transition_layers()

transition_time()

transition_reveal()

transition_events()

transition_layers()

transition_time()

transition_reveal()

transition_events()

Practice, Practice, Practice

Purpose, Polish, Perfection

Pace, Perplexity, Purpose

Plan, Plot, Polish

A tsibble must have a valid time index column.

A tsibble must have a key column to store a single time series.

The as_tsibble() function will fail if duplicate index-key pairs exist.

The tsibble() function supports both regular and irregular time intervals.

Zoom in to only the first week of data.

Aggregate visits to daily or weekly averages.

Apply jittering to separate overlapping points.

Increase line thickness and add more gridlines.

Data are random and contain no seasonal pattern.

The same period repeats at irregular time intervals.

You want to visualise long-term trend only.

You want to compare patterns across years for a repeated cycle.

Gaps draw visual attention and make the plot more interesting.

It avoids misleading the viewer into believing the data are continuous.

Gaps automatically reduce the influence of outliers.

It forces the plot to use thicker lines for emphasis.