Welcome to Farm Precipitation & Income Analysis

Explore the relationship between precipitation patterns and farm income data. This project analyzes how weather conditions impact agricultural productivity and income across different regions and time periods.

🎯 About This Project

This data science project investigates the correlations between precipitation and farm income. The analysis includes:

Data collection from multiple sources (USDA and precipitation databases)
Comprehensive exploratory data analysis
Statistical analysis and visualization
Documentation and reproducible code

📊 Project Overview

Data Sources: USDA farm income data, precipitation measurements, BeautifulSoup, Requests
Analysis Methods: Python, Pandas, Numpy, statistical analysis
Visualization: Matplotlib, Seaborn, Streamlit
Key Question: How do precipitation patterns correlate with farm income?

📚 Documentation & Resources

Documentation

Complete technical documentation of the project, data sources, and functions

Tutorial

Step-by-step guide demonstrating how to use the functions to complete an analysis

Technical Write-up

Detailed analysis results and findings from the data

Streamlit App

A live dashboard with insights and summaries. This will take you to another website

Explore the data and discover the relationship between precipitation and farm income!

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Explore the relationship between precipitation patterns and farm income data. This project analyzes how weather conditions impact agricultural productivity and income across different regions and time periods.

## 🎯 About This Project

This data science project investigates the correlations between precipitation and farm income. The analysis includes:

- Data collection from multiple sources (USDA and precipitation databases)
- Comprehensive exploratory data analysis
- Statistical analysis and visualization
- Documentation and reproducible code

## 📊 Project Overview

- **Data Sources**: USDA farm income data, precipitation measurements, BeautifulSoup, Requests
- **Analysis Methods**: Python, Pandas, Numpy, statistical analysis
- **Visualization**: Matplotlib, Seaborn, Streamlit
- **Key Question**: How do precipitation patterns correlate with farm income?

## 📚 Documentation & Resources

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### [Documentation](documentation.qmd)
Complete technical documentation of the project, data sources, and functions
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### [Tutorial](tutorial.qmd)
Step-by-step guide demonstrating how to use the functions to complete an analysis
:::

::: {.g-col-6}
### [Technical Write-up](technicalwriteup.qmd)
Detailed analysis results and findings from the data
:::

::: {.g-col-6}
### [Streamlit App](https://farmprecipproject-overview.streamlit.app/)
A live dashboard with insights and summaries. **This will take you to another website**
:::

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*Explore the data and discover the relationship between precipitation and farm income!*