Exploring the Iris Dataset

In this project, you will perform a complete exploratory analysis on the **Iris dataset** — one of the most used datasets in data science. It is small, clean, and well-documented, which makes it perfect for focusing on the analysis techniques rather than the data problems.

1. Load the Iris dataset from Seaborn or [Kaggle](https://www.kaggle.com/datasets/uciml/iris)
2. Check the balance of the target variable (species count)
3. Create histograms and box plots for each numerical feature
4. Use a pairplot to visualize relationships between all features at once
5. Compute a correlation matrix and display it as a heatmap
6. Write a short summary of what separates the three species