April 2025
Intermediate to advanced
352 pages
9h 18m
Portuguese (Portugal, Brazil)
Content preview from Analítica de futebol com Python e R
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Apêndice B. Resumo estatístico e tratamento de dados: Passando a bola
Este apêndice contém materiais para te ajudar a compreender algumas estatísticas básicas. Se os tópicos forem novos para ti, recomendamos que leias este material depois do Capítulo 1 ou do Capítulo 2 e antes de te aprofundares no livro.
No Capítulo 2, analisaste o desempenho dos quarterbacks em diferentes profundidades de passe, numa tentativa de perceber que aspeto do jogo era fundamental para o desempenho e que aspeto era mais ruidoso, o que possivelmente te levaria a errar ao tentares fazer previsões sobre o desempenho futuro. Tiveste a sorte de ter os dados mais ou menos prontos para fazeres esta análise. Tiveste de criar a tua própria variável para análise, mas essa manipulação de dados foi mínima.
Análise desportiva em geral, e a análise do futebol em particular, estão ainda numa fase inicial de desenvolvimento. Como tal, os conjuntos de dados podem nem sempre ser os mais limpos ou Tidy. Os conjuntos de dados Tidy estão normalmente numa forma de tabela que os computadores podem ler facilmente e os humanos podem compreender facilmente. Além disso, a análise de dados em qualquer domínio (e a análise do futebol não é diferente) requer frequentemente conjuntos de dados que foram criados para diferentes fins. É aqui que a organização de dados pode ser útil. Como muitas pessoas tiveram de limpar dados confusos, existem muitos termos neste domínio. Alguns sinónimos de " data wrangling" incluem limpeza de dados ...
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