Project Overview
This Data Analyst portfolio project uses Python to analyze Amazon Sales Dataset and explore product pricing, discounts, customer ratings, review counts, and category-level trends.
Objectives
Analyze actual and discounted product prices.
Explore discount patterns across products.
Compare average ratings across product categories.
Examine review counts and customer engagement.
Identify missing values, duplicate records, and data quality issues.
Create visualizations to communicate key findings.
Tools & Technologies
Python
Pandas
NumPy
Matplotlib
Seaborn
Google Colab
Skills Demonstrated
Data cleaning and preprocessing
Exploratory Data Analysis (EDA)
Statistical analysis
Data visualization
Category-wise analysis
Insight generation
Dataset
The notebook expects a CSV file named amazon.csv. Upload the dataset to Google Colab before running the analysis.
Important Note
This project analyzes product listings, not confirmed sales transactions. Review counts and listing prices should not be interpreted as actual sales volume or revenue.