1. Detect Outliers Using Modified Z-Score Method

2. Create a Correlation Heatmap with Annotations

3. Generate a Summary Table of Missing Values

4. Identify the Most Predictive Features with Mutual Information

5. Generate a Categorical Count Plot

6. Create a Lagged Feature for Time-Series Data

7. Compare Two Datasets and Highlight Differences

8. Automate Feature Engineering for Categorical Data

9. Visualize Feature Importance from a Random Forest Model

10. Detect Unusual Patterns in Numerical Columns