Parallel coordinate plots are a powerful tool to visualize high-dimensional and multivariate data
A parallel coordinate plot visualizes how multiple variables connect to each other. This can be very helpful in performing root cause analysis.
In the above example, there are two variables: 'delta V', a common indicator of self-discharge, and 'Cathode Electrode Manufacturing Equipment', which indicates the slitter the cell was produced on. The parallel coordinate plot of these two variables creates a line connecting each cell's 'delta V' to the slitter it was produced on.
Additionally, it's possible to draw a range on one of the axes. This range can be dragged up and down. In the above example, this allows the user to see which slitters are producing the cells with high delta V (greater than 275uV).
One of the advantages of drawing this range is that it allows selection of cells. A common use case is to draw a range that selects all cells that are out of specification to allow them to be identified for further investigation.
Creating the parallel coordinate plot
Under 'select widget type' choose the 'Parallel Coordinates' plot.
Adding multiple variables to the axes
To add battery metrics like capacity, DCIR, delta V, or coulombic efficiency, under 'Select Data Type', choose 'Per-Cycle Metrics'. Then, under 'Select Trace', choose the relevant metric.
To add metadata attributes like material mass, equipment ID, experiment number, or build date, under 'Select Data Type', choose 'Device Attribute'. Then, under 'Select Trace', choose the relevant metadata attribute.
It is possible to add as many variables to the axes as desired.
Formatting the plot
Axes can be moved or adjusted by clicking the axis and dragging it to the desired location.
The group colors can be modified in 'Formatting' in the top right of the charting panel.