🌸 Iris Dataset Analysis and Visualization

This project demonstrates a complete exploratory data analysis (EDA) workflow on the Iris dataset using Python. It includes loading the dataset, basic statistics, grouped insights by species, and a variety of visualizations such as line charts, bar plots, histograms, and scatter plots.

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📦 Features

• Load and explore the Iris dataset using scikit-learn
• Perform data cleaning and transformation with pandas
• Generate summary statistics for each feature
• Group data by species and compute averages
• Create beautiful visualizations using matplotlib and seaborn

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🛠️ Tools and Libraries

• Python 3.x
• pandas
• numpy
• seaborn
• matplotlib
• scikit-learn

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🚀 How to Run

1. Clone this repository or download the .py file.

2. Install dependencies:

   pip install pandas numpy matplotlib seaborn scikit-learn