1. Univariate (1D) Visualizations | 1.1 Optimal 1D Histogram | 1.2 Fixed vs. Adaptive 1D Kernel Density (sskernel & ssvkernel) | 1.3 Comparing Window Functions (WinFunc) in Adaptive KDE | 2. Bivariate (2D) Visualizations | 2.1 Optimal 2D Histogram (sshist_2d) | 2.2 Fixed vs. Adaptive 2D Kernel Density (sskernel2d & ssvkernel2d)

1. Optimal 1D Histogram: sshist | Comparison with the standard approach | The S3 object | 2. Optimal 1D Kernel Density: sskernel & ssvkernel | Fixed Global Bandwidth (sskernel) | Locally Adaptive Bandwidth (ssvkernel) | Estimating Uncertainty with Bootstrap | 3. Optimal 2D Density Estimation | 2D Histogram: sshist_2d | 2D Kernel Density: sskernel2d and ssvkernel2d | References

Introduction | Features | Installation | Basic Usage: read_paradox() | Reading Encrypted Files | Handling Character Encodings | Advanced Usage: Metadata and Manual Control | Links