Sephora Value Canvas Dashboard
Welcome to the Sephora Product Price Comparison Dashboard! This project was created as part of the Data Visualization Society Mentorship Program and serves as a comprehensive tool for analyzing and comparing product prices at Sephora, a popular cosmetics and beauty store. In addition to visualizing product prices, this project includes a Python and Selenium web scraper to extract data from the Sephora website and a Python data science pipeline to clean and process the data.
The primary goal of this dashboard is to help users make informed purchasing decisions by providing insights into product unit prices. Sephora offers products in various sizes, and the unit prices can vary significantly. This dashboard not only compares the prices of different products but also highlights cost-effective options by identifying products with lower unit prices.
This project was inspired by the "Sephora Minis Math" TikTok by @michaelamakeup92
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Data Scraper: This project includes a Python and Selenium web scraper that allows you to extract product data from the Sephora website. You can easily customize the scraper to collect specific information for analysis. Data collected on August 22nd, 2023 is provided in the repo.
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Data Cleaning: Once the data is collected, it goes through a comprehensive data cleaning process to ensure accuracy and consistency.
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Plotly Dash Dashboard: The heart of this project is the interactive Plotly Dash dashboard that provides various visualizations and tools for product price comparison.
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Product Price Comparison: The dashboard allows users to compare the unit prices of different products. It highlights products with multiple size options, enabling users to identify the most cost-effective choice.
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Recommendations: In addition to comparing prices, the dashboard provides recommendations for cheaper alternatives, helping users save money while shopping at Sephora.
The dashboard provides an intuitive interface for users to:
- View product price comparisons.
- Explore unit prices for different product sizes.
- Receive recommendations for cost-effective products.
If you have any questions or suggestions, please reach out
- Hannah LeBlanc
- Email: leblanchannahm@gmail.com
- GitHub: https://github.com/leblanchannah
Thank you to my DVS Mentor Matt!
Happy data exploring and shopping at Sephora! 🛍️