Sociology & Haas School of Business - Pricing norms in cannabis markets

For this project students will use python to write code scraping, munging, and classifying product data to better understand the dynamics of the United States cannabis industry. Apprentices will apply their programming skills to 1.) Turn messy unstructured data sets into shiny clean data sets available for reproducible research and 2.) Apply the latest techniques in natural language processing to find trends and patterns in product description data. These data science techniques will help us uncover the political and cultural elements that affect market competition in the US cannabis industry.