https://github.com/shubham18024/census_analysis

This repository contains code and resources for a summer research project focused on statistical analysis of census data. The project aims to analyze demographic trends, population distributions, and other relevant metrics derived from census datasets.
https://github.com/shubham18024/census_analysis

census-data csv-files data-analysis data-visualization jupyter-notebook mitosheet python report statistics

Last synced: about 1 year ago
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This repository contains code and resources for a summer research project focused on statistical analysis of census data. The project aims to analyze demographic trends, population distributions, and other relevant metrics derived from census datasets.

• Host: GitHub
• URL: https://github.com/shubham18024/census_analysis
• Owner: Shubham18024
• License: mit
• Created: 2024-06-16T07:18:38.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-26T11:25:45.000Z (over 1 year ago)
• Last Synced: 2025-01-27T18:40:38.562Z (about 1 year ago)
• Topics: census-data, csv-files, data-analysis, data-visualization, jupyter-notebook, mitosheet, python, report, statistics
• Language: HTML
• Homepage:
• Size: 25.3 MB
• Stars: 8
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Census Analysis Project

## Overview

This repository contains code and resources for a summer research project focused on statistical analysis of census data. The project aims to analyze demographic trends, population distributions, and other relevant metrics derived from census datasets.

## Project Structure

- **Data:** Contains census datasets used for analysis. Ensure datasets are appropriately sourced and licensed.

  

- **Notebooks:** Jupyter notebooks (`*.ipynb`) showcasing data exploration, statistical analysis, and visualization techniques.

- **Scripts:** Python scripts (`*.py`) for automating data preprocessing, analysis pipelines, and generating reports.

- **Reports:** Summaries, findings, and visual representations of the analyzed data.