Why analysts choose Statistico
Instead of isolated statistical outputs, Statistico keeps every stage of Principal Component Analysis connected — without leaving the analytical workflow.
From correlation structure to statistical reasoning — this is Interactive Statistical Computing, not a sequence of static outputs.
What the module provides
One reduction. Connected component views.
Click a stage to inspect it — each view stays inside the same PCA solution, so there's no re-running the analysis to move between them.
pca-summary.webpSummary
Connect adequacy, retention guidance, and correlation structure before extraction decisions harden.
pca-components.webpComponents
Use eigenvalues and variance evidence to decide retained components.
pca-loadings.webpLoadings
Read loading matrices to understand which variables define each component.
pca-biplot.webpBiplot
Place observations and variable loadings in one map to explain dimensional structure.
pca-scores.webpScore Plot
Map cases in component-score space to reveal structure or outliers.
pca-ai.webpAI Interpretation
Plain-language summary of retention and structure — see the caution below.
Retention guidance is part of the PCA workflow
Kaiser and scree-elbow guidance sit next to the eigenvalue table, and hovering a scree point can highlight the matching row so retention is a visible decision.
pca-components.webpAssess loadings, rotation, and case-level maps
Loadings, biplot, contribution, and outlier views keep variable structure and case behavior connected.
Move from components to biplots and score maps
Biplot and score views use the same retained solution, so visualization does not restart the reduction.
Interpretation within the analytical workflow
Statistico's AI-assisted assessment summarizes retention, loadings, and structure cues from the same PCA output already in the workspace.
Built for analysts who already know the method
Excel remains the working data environment.
Statistical outputs remain visible and inspectable.
Interaction supports analysis rather than hiding it.