{"id":23248200,"url":"https://github.com/diogojorgebasso/dataanalysis_r_minesnancy","last_synced_at":"2026-04-30T09:38:47.230Z","repository":{"id":258207442,"uuid":"869417637","full_name":"diogojorgebasso/DataAnalysis_R_MinesNancy","owner":"diogojorgebasso","description":"Les codes et les matériaux des cours d'analyse de données en R à Mines de Nancy. 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Cada aula está organizada em pastas separadas, em cada subpasta o nome do exercicio e o arquivo de dados (csv, rda, txt, em vários formatos).\n\n## Estrutura do Repositório\n\n``` bash\n├── Aula 1\n│   ├── ...\n├── Aula 6\n│   ├── class.ipynb\n│   ├── poisson\n│       ├── alcool.csv\n│       ├── main.ipynb\n├── Autos\n│   ├── autos2005.csv\n│   ├── main.r\n├── Fromage\n│   ├── ...\n├── Villes\n│   ├── ...\n└── Train for the Test\n    ├── exercises.pdf\n    ├── README.md\n```\n\n## Descrição das Aulas\n\nEm cada pasta de aula, você encontrará um arquivo `README.md` com um resumo bem simples na aula, sendo o estudo mais profundo [disponível na Wiki](https://github.com/diogojorgebasso/DataAnalysis_R_MinesNancy/wiki).\n\n### Train for the Test\n\nAqui você encontrará materiais para treinar para provas, incluindo o arquivo `exercises.pdf` e explicações sobre os exercícios.\n\n## Como Executar os Códigos\n\n Certifique-se de ter o R, Jupyter e Visual Studio Code instalado na sua máquina.\n\n## Contribuições\n\nSinta-se à vontade para contribuir com melhorias ou correções nos códigos e nos materiais didáticos. Basta fazer um fork deste repositório e enviar um pull request com suas sugestões.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdiogojorgebasso%2Fdataanalysis_r_minesnancy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdiogojorgebasso%2Fdataanalysis_r_minesnancy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdiogojorgebasso%2Fdataanalysis_r_minesnancy/lists"}