> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How do I use the parallel coordinates chart in W&B?

The parallel coordinates chart shows how hyperparameters relate to metrics across many runs. Each line is one run; each axis is a config key or summary metric. To add a panel, configure axes, colors, and brushes, see [Parallel coordinates](/models/app/features/panels/parallel-coordinates) and [Visualize sweep results](/models/sweeps/visualize-sweep-results).

## Reading the chart

* Lines that **cross** between adjacent axes suggest an inverse relationship between those parameters.
* Lines that **run parallel** suggest a positive correlation.
* A tight **bundle** of lines at a good metric value marks a promising hyperparameter region.

Color lines by a summary metric (for example `val/accuracy`) so strong runs stand out on a gradient from cool to warm colors.

## Filtering with brushes

Drag on an axis to brush a value range. Only runs in range stay highlighted. Brushing multiple axes narrows to runs that satisfy all ranges — useful for questions like which learning-rate and batch-size pairs exceed 90% accuracy.

## Sweeps

After a sweep, filter to the sweep (**Filter > Sweep > your-sweep-id**) so the panel shows trial runs only. Use the chart to see the explored space and plan a tighter follow-up sweep.

***

<Badge stroke shape="pill" color="orange" size="md">[Runs](/support/models/tags/runs)</Badge><Badge stroke shape="pill" color="orange" size="md">[Experiments](/support/models/tags/experiments)</Badge><Badge stroke shape="pill" color="orange" size="md">[Workspace](/support/models/tags/workspace)</Badge><Badge stroke shape="pill" color="orange" size="md">[Sweeps](/support/models/tags/sweeps)</Badge>