https://github.com/sofiasawczenko/data_cleaning_enem_2019
This project aims to clean and process raw data for analysis, exploring student performance and its relationship with socioeconomic variables. The goal is to visualize these insights to identify patterns and trends.
https://github.com/sofiasawczenko/data_cleaning_enem_2019
Last synced: about 1 year ago
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This project aims to clean and process raw data for analysis, exploring student performance and its relationship with socioeconomic variables. The goal is to visualize these insights to identify patterns and trends.
- Host: GitHub
- URL: https://github.com/sofiasawczenko/data_cleaning_enem_2019
- Owner: sofiasawczenko
- Created: 2023-07-16T13:39:14.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-18T11:11:36.000Z (over 1 year ago)
- Last Synced: 2024-12-18T12:25:17.964Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 104 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ENEM Data Processing Project - São Paulo 2019
This project aims to analyze the results of the Exame Nacional do Ensino Médio (ENEM) in the state of São Paulo for the year 2019. 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).
## Motivation
ENEM 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.
## Data Used
The 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.
## Objectives
The "ENEM Data Processing - São Paulo 2019" project has the following main objectives:
1. Clean and process the raw data to prepare it for analysis.
2. Explore the students' performance in different areas of knowledge, identifying patterns and trends.
3. Analyze the relationship between students' performance and socioeconomic variables such as family income and school type.
4. Visualize the data graphically to make the results easier to interpret.
## How to Use the Project
### Requirements
To run this project, you will need to have the following installed:
- Jupyter Notebook or JupyterLab
### Instructions
1. Clone the repository to your local environment:
```bash
git clone https://github.com/sofiasawczenko/tratamento_dados_ENEM.git
```
2. Navigate to the project directory
```bash
cd tratamento_dados_ENEM
```
3. Install the dependencies:
```bash
pip install -r requirements.txt
```
4. 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.
5. Launch Jupyter Notebook or JupyterLab.
6. Open the "analise_enem_sp_2019.ipynb" notebook and follow the instructions to perform the data analysis.
## Contribution
Contributions 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.
## License
This project is licensed under the MIT License.
## Contact
If you have any questions or suggestions, feel free to contact me at sofiawko@gmail.com or through my GitHub profile (http://github.com/sofiasawczenko).