03 · Understand

Analytics Workspaces

Available in P³

Explore scalar values, spectra, and fields without separating scientific context from the result.

P³ Analytics workspace with dataset variables, filters, plots, and a PCA result

Keep the scientific context attached to the result.

A workspace connects datasets, derived variables, active filters, scientific methods, and rearrangeable result tiles.

Capabilities

What Analytics Workspaces handles

These capabilities reflect the current product. Experimental or unsupported feature types are not presented as finished.

01

Scalar, vector, and matrix modes

Use workflows suited to ordinary columns, spectra and curves, or two-dimensional fields.

02

Interactive plots

Choose Plotly for interaction or Datashader for dense results, with filtering and reusable selections.

03

Scientific methods

Create statistics, correlations, PCA, clustering, fits, spectrum features, and derived variables.

04

Reusable workspaces

Arrange plots, tables, notes, and model results on a persistent canvas with action history.

Workflow

A clear sequence with inspectable handoffs.

01

Connect one or more datasets

02

Choose scalar, vector, or matrix intent

03

Apply variables and filters

04

Keep the useful plots, tables, and derived results

Start with P³

Build with P³.

Free for private and eligible university use. Companies can request a commercial license.