Load sample trial dataset | Inspect dataset structure and first few rows | Generate standard summary profiles across all phenotypic traits | Fit ANOVA model for Plant Height (PH) | Compute LSD Mean Comparisons | Display Ranked Means Table | Execute complete genetic variability partitioning | Execute Principal Component Analysis | Execute Hierarchical Cluster Engine (e.g., k = 4 groups) | Define custom mapping or number of clusters beforehand | 1. Mean performance: Genotypic performance with LSD | 2. PCA: Multivariate variation | 3. Clustering: Dendrogram with flexible cluster parameter option | 4. Residuals: Diagnostic plots | 5. Correlations: Phenotypic matrix | 6. Path Analysis: Direct Effects Plot for Grain Yield per Meter (GYPM)