☕ The Coffee Chronicles

A data analysis project uncovering trends and insights from coffee reviews to explore consumer preferences and market dynamics.

🌟 Business Value

This project provides actionable insights for:

• Coffee Enthusiasts: Discover top-rated coffees and make informed choices.
• Coffee Businesses: Understand customer preferences and optimize product offerings.
• Baristas and Cafes: Curate menus and elevate customer satisfaction.

📊 Project Overview

This project analyzes coffee review data to address the following key questions:

1. What are the most common coffee origins in the United States and Floyd?
2. How do ratings differ across various roast levels (light, medium, dark)?
3. What are the most frequently mentioned origins in highly-rated reviews?
4. What is the price range for highly-rated coffees versus lower-rated coffees?

📂 Dataset

• Source: Kaggle and CoffeeReview.com
• Attributes: Coffee name, roaster, roast type, origin, price, ratings, and review date.
• Focus: Filtered for reviews from the United States and Floyd regions.

🔧 Methods

• Descriptive Analysis: Identify common coffee origins.
• Comparative Analysis: Compare rating differences across roast levels.
• Consumer Preference Analysis: Highlight frequently mentioned origins in top reviews.
• Market & Pricing Analysis: Analyze price ranges for highly-rated vs. low-rated coffees.

🚀 Project Features

• Pseudocode for data cleaning, filtering, and analysis.
• Python scripts for data loading, preparation, and visualization.
• Insights presented using visualizations like bar charts, word clouds, box plots, and scatter plots.