📊 Exploratory Data Analysis of ENEM (Brazilian National High School Exam)

This project explores the public microdata from ENEM (Exame Nacional do Ensino Médio), Brazil’s national high school exam, with the aim of identifying patterns in student performance across regions, income levels, gender, and school types.

🎯 Objectives

• Understand the distribution of scores in subjects such as Mathematics, Writing, and Natural Sciences.
• Analyze the relationship between socio-economic variables (income, school type) and exam performance.
• Visualize educational inequalities across states and regions of Brazil.
• Practice data cleaning, transformation, and exploratory data visualization.

📁 Dataset

• Source: INEP - Microdados ENEM
• Year used: 2023
• Format: .CSV file extracted from .ZIP
• Encoding: latin1
• Separator: ;

🛠️ Tools & Libraries

• Python
• pandas, numpy
• matplotlib, seaborn, plotly
• Jupyter Notebook

📊 Sample Questions

• What is the average score in Mathematics by region?
• Do students from private schools perform better than public school students?
• Is there a gender gap in performance across subjects?
• What is the correlation between income level and overall performance?

🇧🇷 Resumo em Português

Este projeto analisa os microdados públicos do ENEM com o objetivo de identificar padrões de desempenho entre candidatos de diferentes regiões, níveis de renda, tipos de escola e gênero. As análises incluem médias por disciplina, correlações e visualizações que ajudam a entender desigualdades educacionais no Brasil.

✅ Status

📌 In progress – First analyses, cleaning, visualizations and insights will be added soon.

💡 License

MIT License