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analyzing 2020 Census data to understand the make up of Texas counties

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Texas Census Data Analysis

This repository contains scripts and notebooks for analyzing Texas census data. The project aims to explore demographic trends, population distribution, and other relevant insights using data from various census sources.

Repository Structure

  • data: Contains datasets used for analysis. Due to the size limitations of GitHub, only sample datasets or smaller subsets may be included here.
  • notebooks: Jupyter notebooks for data analysis and visualization.
  • scripts: Python scripts for data processing, cleaning, and other tasks.
  • reports: Reports generated from the analysis, including visualizations and findings.
  • README.md: This file providing an overview of the repository.

Analysis Overview

The analysis includes but is not limited to:

  • Data Exploration: Initial exploration of census datasets to understand their structure, variables, and quality.
  • Data Cleaning: Preprocessing steps to handle missing values, outliers, and ensure data consistency.
  • Descriptive Statistics: Calculating summary statistics and visualizing distributions of demographic variables.
  • Spatial Analysis: Mapping population distribution, density, and other spatial patterns across Texas.
  • Trend Analysis: Identifying and visualizing trends in population growth, demographic changes, etc.
  • Comparative Analysis: Comparing demographic characteristics between different regions, cities, or time periods within Texas.
  • Predictive Modeling: If applicable, building predictive models to forecast population changes or other relevant outcomes.

Usage

To replicate the analysis or contribute to the project, follow these steps:

  1. Clone or download this repository to your local machine.
  2. Install the necessary dependencies listed in requirements.txt.
  3. Explore the notebooks and scripts to understand the analysis workflow.
  4. Execute the scripts or run the notebooks to perform analysis tasks.
  5. Modify, extend, or improve the analysis as needed. If contributing, follow the contribution guidelines outlined in CONTRIBUTING.md.

Data Sources

The analysis utilizes census data from various sources, including:

  • United States Census Bureau
  • Texas State Data Center
  • Other relevant governmental and research institutions

Contribution

Contributions to this project are welcome! If you have suggestions, bug reports, or want to add new analysis, please open an issue or submit a pull request following the guidelines outlined in CONTRIBUTING.md.

License

This project is licensed under the MIT License.

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