Supplements & Vitamins E-commerce Market Analysis

Data Analytics Bootcamp Project | Big Blue Data Academy | March–June 2023

This project explores the supplements and vitamins e-commerce market through web scraping and exploratory data analysis (EDA).

An online pharmacy website, one of the most visited in Greece, was scraped using BeautifulSoup to collect product-level data. The dataset was then analyzed to identify pricing patterns, discount strategies, popular product categories, and consumer preferences.

Key insights include:

• Top 10 most inexpensive products
• Top 10 products with the highest discounts
• Discount distribution across the pharmacy
• Top-rated and most reviewed products
• Most common ingredients and supplement categories

Notebooks & Files

Pharmacy24webscrape_final.ipynb Web scraping pipeline for collecting product data from the online pharmacy.
EDA_SupVitDataset.ipynb Data cleaning, exploratory analysis, and visualization of the extracted dataset.
SupVit_Dataset.csv Final dataset containing detailed information on supplements and vitamins products.

SupVit_Dataset.csv Dataset Columns

• product_name — Product name and short description
• category — Supplement category
• normal_price — Original listed price
• discount_price — Price after discount
• reviews_count — Number of user reviews
• rating — Average customer rating
• discount% — Relative discount: (normal − discount) / normal
• weighted_average_metric — Popularity/quality score combining rating and reviews