The idea behind it
Features Data Source — upload CSV/Excel or use a built-in synthetic dataset. Overview — automatic column profiling, type detection, stats & preview. Trend Forecast — linear trend + FFT-detected seasonality, with a 95% confidence band. Clustering — K-Means segmentation with PCA projection and silhouette score. Classification — RandomForest with accuracy / precision / recall / F1, confusion matrix and feature importances. Insights — correlation heatmap, strongest pairs, key drivers and z-score anomaly detection. All processing happens locally — no data leaves your machine.