More work on O'Reilly book
* Make width narrower * Convert deps to table * Strip chapter status
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<section data-type="chapter" id="chp-workflow-basics">
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<h1><span id="sec-workflow-basics" class="quarto-section-identifier d-none d-lg-block"><span class="chapter-title">Workflow: basics</span></span></h1><div data-type="note"><div class="callout-body d-flex">
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<p>You are reading the work-in-progress second edition of R for Data Science. This chapter should be readable but is currently undergoing final polishing. You can find the complete first edition at <a href="https://r4ds.had.co.nz" class="uri">https://r4ds.had.co.nz</a>.</p></div>
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<p>You now have some experience running R code. We didn’t give you many details, but you’ve obviously figured out the basics, or you would’ve thrown this book away in frustration! Frustration is natural when you start programming in R, because it is such a stickler for punctuation, and even one character out of place will cause it to complain. But while you should expect to be a little frustrated, take comfort in that this experience is both typical and temporary: it happens to everyone, and the only way to get over it is to keep trying.</p><p>Before we go any further, let’s make sure you’ve got a solid foundation in running R code, and that you know about some of the most helpful RStudio features.</p>
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<h1><span id="sec-workflow-basics" class="quarto-section-identifier d-none d-lg-block"><span class="chapter-title">Workflow: basics</span></span></h1><p>::: status callout-note You are reading the work-in-progress second edition of R for Data Science. This chapter should be readable but is currently undergoing final polishing. You can find the complete first edition at <a href="https://r4ds.had.co.nz" class="uri">https://r4ds.had.co.nz</a>. :::</p><p>You now have some experience running R code. We didn’t give you many details, but you’ve obviously figured out the basics, or you would’ve thrown this book away in frustration! Frustration is natural when you start programming in R, because it is such a stickler for punctuation, and even one character out of place will cause it to complain. But while you should expect to be a little frustrated, take comfort in that this experience is both typical and temporary: it happens to everyone, and the only way to get over it is to keep trying.</p><p>Before we go any further, let’s make sure you’ve got a solid foundation in running R code, and that you know about some of the most helpful RStudio features.</p>
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<section id="coding-basics" data-type="sect1">
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<h1>
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Coding basics</h1>
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