User Guide Overview

This section explains how to apply MinexPy's core analysis modules in practical geoscience workflows.

Core Modules

• minexpy.stats: Descriptive statistics, spread metrics, and distribution diagnostics.
• minexpy.correlation: Pairwise and matrix-based correlation analysis (linear, rank-based, robust, and nonlinear).
• minexpy.statviz: Statistical visualization tools for distribution checks and bivariate analysis.
• minexpy.mapping: Geochemical point preparation, grid creation, interpolation, and map composition.

Recommended Workflow

1. Start with describe or StatisticalAnalyzer.summary to inspect scale, spread, and distribution shape.
2. Use correlation_matrix and pairwise correlation functions to test relationships between variables.
3. Confirm assumptions with visual diagnostics such as histogram, ECDF, Q-Q, and scatter plots.

Guides in This Section

• Statistical Analysis
• Correlation Analysis
• Statistical Visualization
• Geochemical Mapping