📦 Repository Structure This project is part of a larger technical portfolio monorepo.

The analysis shown below lives in the folder: data-analysis/coffee-production-weather-analysis/

within the repository: DataEden / fari-tech-portfolio

This subfolder contains a data analysis project exploring the relationship between weather patterns and coffee production in Minas Gerais, Brazil.

🏗️ How This Page Is Generated

The documentation below is dynamically rendered from the project's GitHub repository. The site retrieves the repository README and converts it to HTML using the GitHub API and the Marked.js Markdown parser.

This allows the repository to remain the single source of truth while keeping the website documentation automatically up to date.

🔎 Data Source This analysis combines historical coffee production statistics from Brazil’s agricultural reporting agencies with seasonal weather data, including rainfall and temperature observations.

Supporting datasets and derived analytical outputs are stored within the project subdirectory.

⚙️ Engineering Note This page uses a GitHub-backed documentation model where the repository remains the single source of truth and the website serves as the presentation layer.

Notebook links open directly within the repository so readers can explore the full analysis environment, including notebooks, datasets, and supporting files.

Project Overview

An analytics project examining whether coffee production growth is better explained by climate variation or agricultural capacity expansion.

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