A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.
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Updated
Jul 17, 2025 - Jupyter Notebook
A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.
This project combines web scraping and exploratory data analysis (EDA) on book listings from "Books to Scrape". Scraped 1000 books using Python, cleaned the dataset, and uncovered insights on categories, pricing trends, and availability using Pandas and Seaborn. Part of my Data Analyst portfolio series.
This project performs an exploratory data analysis (EDA) on a global roller coaster dataset using Python, Pandas, and Seaborn. It explores data cleaning, visualization, and feature relationships to uncover trends in coaster speed, height, and design over time.
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