Amazon Sales Data Mining & Visualization

Overview

This repository contains exploratory data analysis (EDA) and data mining on the Amazon sales dataset to uncover insights into sales trends, customer behavior, and product performance.

Files

• ExploratoryDataAnalysis.ipynb – Performed data analysis to understand the data and plot visualizations.
• DataPreprocessing.ipynb – Performed key preprocessing and statistical analysis, including:
  • Binning and Smoothing
  • Data Normalization
  • Chi-Squared Test
  • Correlation Coefficient & Covariance
  • Discretization
• OutliersHandling.ipynb - Implemented statistical (Z-Score, IQR, Box Plot), ML-based (DBSCAN), and distance-based (KNN) methods for detecting and handling outliers. Used Winsorization and outlier removal to improve data quality.

Features

🔹 Data Cleaning & Preprocessing
🔹 Exploratory Data Analysis (EDA)
🔹 Statistical Analysis & Data Mining
🔹 Interactive Visualizations

Stay tuned for insights and findings! 🚀