This project demonstrates how to:
- Load and explore a dataset using pandas.
- Perform basic data analysis and compute summary statistics.
- Visualize data with matplotlib and seaborn.
- Handle missing data (if any) and ensure dataset cleanliness.
- Export results to an Excel file with multiple sheets.
- analysis.py / analysis.ipynb → Main script or notebook containing the code.
- iris_analysis.xlsx → Exported results (includes raw data, summary statistics, and class distribution).
- README.md → This documentation file.
Install the following Python libraries before running the project:
pip install pandas numpy matplotlib seaborn scikit-learn openpyxl