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R for data science : import, tidy, transform, visualize, and model data /

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內容簡介top R for Data Science 簡介 What exactly is data science? With this book, youl gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, youl learn how to use the versatile R programming language for data analysis.Whenever you measure the same thing twice, you get two resultss long as you measure precisely enough. This phenomenon creates uncertainty and opportunity. Author Garrett Grolemund, Master Instructor at RStudio, shows you how data science can help you work with the uncertainty and capture the opportunities. Youl learn about:Data Wranglingow to manipulate datasets to reveal new informationData Visualizationow to create graphs and other visualizationsExploratory Data Analysisow to find evidence of relationships in your measurementsModellingow to derive insights and predictions from your dataInferenceow to avoid being fooled by data analyses that cannot provide foolproof resultsThrough the course of the book, youl also learn about the statistical worldview, a way of seeing the world that permits understanding in the face of uncertainty, and simplicity in the face of complexity.

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