This project delves into the world of online electronics sales by analyzing a dataset from Amazon. Using Python libraries and guided by data science principles, we'll uncover valuable insights into customer behavior, product performance, and sales trends. This exploration will aid in understanding market dynamics and potentially inform strategic business decisions.

Python (Data analysis and visualization) Libraries: Pandas (Data manipulation), NumPy (Numerical computing), Matplotlib/Seaborn (Data visualization)

The dataset used in this project is available publicly on Kaggle: https://www.kaggle.com/datasets/edusanketdk/electronics

Please note that you may need to create a free Kaggle account to access the dataset.

• Import libraries and load data
• Clean and preprocess data
• Conduct exploratory data analysis
• Draw conclusions and insights