📊 Iris Dataset EDA using Pandas & Matplotlib

This notebook performs Exploratory Data Analysis (EDA) on the classic Iris dataset using only two libraries:

• pandas for data handling & statistics
• matplotlib for all visualizations

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🗂 Dataset

Source: Iris Dataset CSV

It contains:

• Sepal length & width
• Petal length & width
• Species (Setosa, Versicolor, Virginica)

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✅ Features Used

📌 Pandas (Statistics):

• .mean(), .median(), .mode()
• .min(), .max(), .std(), .var()
• .skew(), .kurt(), .sum(), .count()
• .describe(), .corr(), .cov()

📌 Matplotlib (Visuals):

• Line plots
• Scatter plots
• Error bars
• Histograms & Binning
• Density plot
• 2D Contour plot
• Multiple subplots
• 3D plot

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📷 Sample Outputs

• 📈 Sepal & petal measurements over samples
• 🔵 Scatter plots between features
• 🧭 Contour plots with synthetic functions
• 🧊 3D plot showing Sepal & Petal relationships

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⚙️ Requirements

pip install pandas matplotlib