Scatter And Histogram

Scatter

Use scatter when you need correlation, clustering, or direct interaction with limits.

Good use cases:

• compare two parametric tests
• isolate outlier clouds
• inspect site or wafer-separated clusters
• drag limits and watch local impact before committing

Key points:

• WebGPU handles the large-point path when available
• brushing is rectangular in the full scatter workflow
• live what-if previews update the linked context before commit

Histogram

Use histogram when you need shape, tails, limit context, or a simpler explanation of a single test.

Good use cases:

• detect a fat tail or split distribution
• compare the current selection to the lot-wide shape
• decide whether a limit change affects a meaningful population

How the two work together

• scatter tells you whether a problem is structured
• histogram tells you how much of the distribution is affected

If you only look at one, you can miss either the structure or the volume.

Practical limit-review pattern

1. start in histogram to understand the failing tail
2. open scatter to see whether the tail belongs to a real population
3. drag candidate limits only after the population makes sense
4. use impact review before treating the change as a proposal