# Ethiopian Coffee Quality Analysis ☕
## Project Overview
This project explores a Coffee Quality dataset to understand the factors that influence coffee scoring. The analysis includes data cleaning, exploratory data analysis, and visualization of key variables.
## Dataset
Coffee Quality Dataset containing information about:
- Coffee species
- Country of origin
- Processing methods
- Aroma, flavor, acidity scores
- Altitude and production information
## Tools Used
- Python
- Pandas
- Matplotlib
- Seaborn
- Jupyter Notebook
## Analysis Steps
1. Data loading and inspection
2. Handling missing values
3. Exploratory Data Analysis (EDA)
4. Data visualization
5. Insights and conclusions
## Key Insights
- Processing methods influence cup quality
- Certain regions produce higher scoring coffee
- Altitude shows correlation with coffee quality
## Project Structure
ethiopian-coffee-analysis
│
├── analysis.ipynb
├── coffee_quality.csv
└── README.md
## Author
Fahmi Ahmed