Below is AI generated, but we can adapt it to our dataset
- Create countplot to check class distribution
- Make bar plot to compare feature means by class
- Generate scatter plot with classes colored to see separation
- Use pairplot to overview feature relationships
- Draw boxplots to check distributions by class
- Plot histograms to see shape of feature distributions
- Calculate correlation matrix heatmap to identify correlations
- Produce clustermap to reveal internal data structures
- EDA ipynb setup and folder setups