Coffee Taste Preferences Analysis

Project Details

The "Coffee Taste Preferences Analysis" Python code project explores coffee drinkers' preferences using data from the 'Great American Coffee Taste Test.' The code covers various aspects, including demographic information, brewing methods, and taste preferences. Visualizations offer insights into popular coffees, preferences by gender, age, and expertise level. The project combines web scraping and data analysis techniques to provide actionable insights for businesses in the coffee industry.

Use case:

By understanding customer preferences and behaviors, businesses can optimize their strategies, improve product-market fit, and enhance customer satisfaction through personalized experiences and campaigns. This analysis has practical applications for businesses, enabling them to predict customer behavior, create targeted marketing campaigns, and enhance product offerings based on segmented experiences.

Reference:

The Great American Coffee Taste Test