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This project analyzes housing patterns across Mexican states using the 2024 National Survey of Occupation and Employment (ENOE) data. Using Python and interactive visualizations, it explores metrics like inhabitants per dwelling and shared expenses patterns to provide insights into housing characteristics across Mexico.

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Pedro1Guevara/inegi_enoe_2024

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Housing Analysis in Mexico - ENOE 2024

Description

This project analyzes data from Mexico's National Survey of Occupation and Employment (ENOE) 2024, focusing on housing characteristics across Mexican states. The analysis includes comparisons of inhabitants per dwelling, shared expense patterns, and other relevant indicators.

Disclaimer

This is an independent project and is not associated with or endorsed by the National Institute of Statistics and Geography (INEGI). The data used is publicly accessible through ENOE.

Features

  • Comparative analysis between states
  • Interactive visualizations using Plotly
  • Detailed housing metrics
  • Custom statistical insights

Requirements

  • Python 3
  • Pandas
  • NumPy
  • Plotly

Usage

The code is optimized to run in Google Colab. Each cell is documented and can be executed sequentially to perform the complete analysis.

Data

Data comes from ENOE 2024 (third quarter) and is publicly available through INEGI. https://en.www.inegi.org.mx/datosabiertos/

About

This project analyzes housing patterns across Mexican states using the 2024 National Survey of Occupation and Employment (ENOE) data. Using Python and interactive visualizations, it explores metrics like inhabitants per dwelling and shared expenses patterns to provide insights into housing characteristics across Mexico.

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