What is it?


…Other than awesome!

The Jump Plot allows for scalable graphing of sequence event data with multiple variations to successfully visualize the performance of your workflow.
Let’s learn how to Jump Plot!

Create Checkpoints

Plot sequence checkpoints on the x axis. These can be placed in static or variable distance from one another. Static distance (shown here) has no meaning to the visual, variable can allow for an overlay of an additional metric (e.g. average duration between checkpoints).

Order Checkpoints

Order checkpoints based on the sequence you will be reviewing.

Connect Checkpoints

Connect checkpoints with “hops” (bezier curves). In the standard Jump Plot, hop height is determined by the duration of time between checkpoints.

Skip a Checkpoint

One great benefit of the Jump Plot is that any variation of series hops through checkpoints can be represented. It is not required that each checkpoint is included in a series of hops.

Add Series

Add “series” to the Jump Plot as desired. Color can be added to series dimensions to differentiate for the reader.

Include Thresholds

A common variation of the Jump Plot will place a threshold on the x-axis.

Aggregate Hops

If overplotting occurs due to high volumes hops can be aggregated and sized by volume.

Percentage Transformation

If you have various measures of time across hops you can transform the values to percentages to view the entire sequence at once.

Percentage and Threshold

You can apply the percentage transformation to a threshold based view. The hop height should be calculated as percent change from threshold for each hop.

Jump Panel

You can view series in the form of a panel, often referred to as a “Jump Panel”.

Jump Line

Lastly, you can also view series in-line with your data, often referred to as a “Jump Line”.