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The World of Starbucks Collectors

Visualized and analyzed Starbucks secondhand mug trading using K-means clustering. Tools: Python for web scraping, R package plotly for graphics, and R Shiny for interactive presentation. Data source: fredorange.com

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A Web scraping project: Starbucks collections on Fredorange.com

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