April 2025
Intermediate to advanced
578 pages
13h 35m
Portuguese (Portugal, Brazil)
Content preview from R for Data Science, 2ª Edição
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Capítulo 11. Comunicação
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Introdução
No Capítulo 10, aprendeste a utilizar os gráficos como ferramentas de exploração. Quando fazes gráficos exploratórios, sabes - mesmo antes de olhar - quais as variáveis que o gráfico irá apresentar. Fizeste cada gráfico com um objetivo, podes olhar rapidamente para ele e passar para o gráfico seguinte. No decurso da maioria das análises, produzirás dezenas ou centenas de gráficos, a maioria dos quais é imediatamente deitada fora.
Agora que compreendes os teus dados, tens de comunicar essa compreensão aos outros. É provável que o teu público não partilhe os teus conhecimentos de base e não esteja profundamente interessado nos dados. Para ajudar os outros a construir rapidamente um bom modelo mental dos dados, terás de investir um esforço considerável para tornar os teus gráficos tão auto-explicativos quanto possível. Neste capítulo, vais aprender algumas das ferramentas que o ggplot2 fornece para o fazer.
Este capítulo centra-se nas ferramentas necessárias para criar bons gráficos. Partimos do princípio de que sabes o que queres e só precisas de saber como o fazer. Por essa razão, recomendamos vivamente que juntes este capítulo a um bom livro de visualização geral. Gostamos particularmente de The Truthful Art de Albert Cairo (New Riders). Não ensina a mecânica da criação de visualizações, mas concentra-se no que precisas de ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.