Outlier Detection in Sales Data using IQR and 3-Sigma

This project analyzes monthly sales data of 20 company agents. It compares two outlier detection methods: IQR (Interquartile Range) and 3-Sigma Rule, evaluates the impact of outliers on mean and median, and visualizes the distribution using boxplots.

Highlights:

• Detects outliers using both IQR and 3-Sigma.
• Compares how each method performs on skewed data.
• Calculates and compares mean/median before and after outlier removal.
• Includes boxplots to visualize the effect of outliers.

Tools Used:

• Python
• NumPy
• Matplotlib
• scipy

pip install numpy matplotlib scipy