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Re-render book for O'Reilly

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Hadley Wickham
2023-01-12 17:22:57 -06:00
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<div data-type="part">
<h1><span id="sec-transform-intro" class="quarto-section-identifier d-none d-lg-block">Transform</span></h1><p>After reading the first part of the book, you understand (at least superficially) the most important tools for doing data science. Now it’s time to start diving into the details. In this part of the book, you’ll learn about the most important types of variables that you’ll encounter inside a data frame and learn the tools you can use to work with them.</p><div class="cell">
<h1><span id="sec-transform-intro" class="quarto-section-identifier d-none d-lg-block">Transform</span></h1><p>The second part of the book was a deep dive into data visualization. In this part of the book, you’ll learn about the most important types of variables that you’ll encounter inside a data frame and learn the tools you can use to work with them.</p><div class="cell">
<div class="cell-output-display">
<figure id="fig-ds-transform"><p><img src="diagrams/data-science/transform.png" alt="Our data science model transform, highlighted in blue. " width="535"/></p>
<figcaption>Figure 1: The options for data transformation depends heavily on the type of data involve, the subject of this part of the book.</figcaption>
<figure id="fig-ds-transform"><p><img src="diagrams/data-science/transform.png" alt="Our data science model, with transform highlighted in blue. " width="535"/></p>
<figcaption>Figure 1: The options for data transformation depends heavily on the type of data involved, the subject of this part of the book.</figcaption>
</figure>
</div>
</div><p>You can read these chapters as you need them; they’re designed to be largely standalone so that they can be read out of order.</p><ul><li><p><a href="#chp-logicals" data-type="xref">#chp-logicals</a> teaches you about logical vectors. These are simplest type of vector, but are extremely powerful. You’ll learn how to create them with numeric comparisons, how to combine them with Boolean algebra, how to use them in summaries, and how to use them for condition transformations.</p></li>