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preface-text.Rmd

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@@ -33,7 +33,7 @@ six chapters, you will learn how to answer predictive, exploratory, and inferent
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data analysis questions with common methods in data science, including
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classification, regression, clustering, and estimation.
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In the final chapters
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(\@ref(getting-started-with-jupyter)—\@ref(move-to-your-own-machine)),
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(\@ref(getting-started-with-jupyter)–\@ref(move-to-your-own-machine)),
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you will learn how to combine R code, formatted text, and images
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in a single coherent document with Jupyter, use version control for
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collaboration, and install and configure the software needed for data science

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