R Analysis Project on Washington State Housing and Homelessness

Overview

This project conducts a comprehensive analysis of housing and homelessness in Washington State using R programming. The goal is to explore the factors influencing housing stability, analyze trends in homelessness, and provide actionable insights for policymakers and stakeholders.

Key Features

• Data Collection: Gather data from various sources, including government reports, surveys, and datasets available from public repositories.
• Data Cleaning: Use R libraries like dplyr and tidyr to preprocess and clean the data for analysis.
• Statistical Analysis: Conduct various statistical tests and analysis to understand the relationships between socioeconomic factors and housing stability.
• Visualization: Create informative visualizations using ggplot2 to depict trends and key findings effectively.

Project Structure

• data/: Contains raw and processed data files.
• scripts/: R scripts for data analysis
• figures/: Plots and figures generated from the analysis.
• results/: Analysis results and summaries.

Installation

To run this project locally, ensure you have R installed along with the necessary libraries. You can install the required packages using:

install.packages(c("dplyr", "ggplot2", "tidyr"))

Usage

1. Load the data files from the data/ directory.
2. Run the analysis scripts located in the scripts/ directory.
3. Examine the plots and results in the results/ and figures/ directories.

Contributing

Contributions to improve this analysis and project are welcome! Please open issues or submit pull requests for further enhancements.

Contact

For any inquiries, please contact Tarang Jammalamadaka at tarangjammalamadaka9@gmail.com.

License

This project is licensed under the MIT License - see the LICENSE file for details.