{"id":26896054,"url":"https://github.com/sofiasawczenko/data_cleaning_enem_2019","last_synced_at":"2025-04-01T02:59:31.375Z","repository":{"id":181621427,"uuid":"667052440","full_name":"sofiasawczenko/data_cleaning_ENEM_2019","owner":"sofiasawczenko","description":"This project aims to clean and process raw data for analysis, exploring student performance and its relationship with socioeconomic variables. 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The data used in this project was extracted from the Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP) website, available at [http://inep.gov.br/microdados](http://inep.gov.br/microdados).\n\n## Motivation\n\nENEM is one of the largest educational assessments in Brazil and provides crucial information on students' performance across various fields of knowledge. Analyzing ENEM data can offer valuable insights into the educational system in São Paulo, helping to identify strengths and areas for improvement.\n\n## Data Used\n\nThe data used in this project consists of the 2019 ENEM microdata for the state of São Paulo. The microdata contains detailed information about each student who participated in the exam, including scores by field of knowledge, socioeconomic background, education level, and other relevant data.\n\n## Objectives\n\nThe \"ENEM Data Processing - São Paulo 2019\" project has the following main objectives:\n\n1. Clean and process the raw data to prepare it for analysis.\n2. Explore the students' performance in different areas of knowledge, identifying patterns and trends.\n3. Analyze the relationship between students' performance and socioeconomic variables such as family income and school type.\n4. Visualize the data graphically to make the results easier to interpret.\n\n## How to Use the Project\n\n### Requirements\nTo run this project, you will need to have the following installed:\n- Jupyter Notebook or JupyterLab\n\n### Instructions\n1. Clone the repository to your local environment:\n ```bash\n   git clone https://github.com/sofiasawczenko/tratamento_dados_ENEM.git\n```\n2. Navigate to the project directory\n ```bash\n  cd tratamento_dados_ENEM\n```\n3. Install the dependencies:\n```bash\n  pip install -r requirements.txt\n```\n4. Download the ENEM 2019 microdata for São Paulo from the INEP website (http://inep.gov.br/microdados) and place the files in the \"data\" folder.\n\n5. Launch Jupyter Notebook or JupyterLab.\n\n6. Open the \"analise_enem_sp_2019.ipynb\" notebook and follow the instructions to perform the data analysis.\n\n## Contribution\nContributions are welcome! If you would like to contribute to the project, please open a pull request with your changes and provide a clear description of the modifications.\n\n## License\nThis project is licensed under the MIT License.\n\n## Contact\nIf you have any questions or suggestions, feel free to contact me at sofiawko@gmail.com or through my GitHub profile (http://github.com/sofiasawczenko).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsofiasawczenko%2Fdata_cleaning_enem_2019","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsofiasawczenko%2Fdata_cleaning_enem_2019","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsofiasawczenko%2Fdata_cleaning_enem_2019/lists"}