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

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
Starbucks_shiny		Starbucks_shiny
blog_img		blog_img
FredorangeMug.csv		FredorangeMug.csv
FredorangeUser.csv		FredorangeUser.csv
README.md		README.md
ScrapeMugProfiles.py		ScrapeMugProfiles.py
ScrapeUserProfiles.py		ScrapeUserProfiles.py
code and charts.Rmd		code and charts.Rmd
data cleaning.R		data cleaning.R
mug.csv		mug.csv
user.csv		user.csv

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