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* Make width narrower
* Convert deps to table
* Strip chapter status
This commit is contained in:
Hadley Wickham
2022-11-18 11:05:00 -06:00
parent 5895db09cd
commit 69b4597f3b
33 changed files with 784 additions and 1048 deletions
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@@ -1,13 +1,5 @@
<section data-type="chapter" id="chp-numbers">
<h1><span id="sec-numbers" class="quarto-section-identifier d-none d-lg-block"><span class="chapter-title">Numbers</span></span></h1><div data-type="note"><div class="callout-body d-flex">
<div class="callout-icon-container">
<i class="callout-icon"/>
</div>
</div>
<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>
<h1><span id="sec-numbers" class="quarto-section-identifier d-none d-lg-block"><span class="chapter-title">Numbers</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>
<section id="introduction" data-type="sect1">
<h1>
Introduction</h1>
@@ -218,14 +210,14 @@ x * c(1, 2, 3)
<pre data-type="programlisting" data-code-language="downlit">flights |&gt;
filter(month == c(1, 2))
#&gt; # A tibble: 25,977 × 19
#&gt; year month day dep_time sched_dep…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
#&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;
#&gt; 1 2013 1 1 517 515 2 830 819 11 UA
#&gt; 2 2013 1 1 542 540 2 923 850 33 AA
#&gt; 3 2013 1 1 554 600 -6 812 837 -25 DL
#&gt; 4 2013 1 1 555 600 -5 913 854 19 B6
#&gt; 5 2013 1 1 557 600 -3 838 846 -8 B6
#&gt; 6 2013 1 1 558 600 -2 849 851 -2 B6
#&gt; year month day dep_time sched_…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
#&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;
#&gt; 1 2013 1 1 517 515 2 830 819 11 UA
#&gt; 2 2013 1 1 542 540 2 923 850 33 AA
#&gt; 3 2013 1 1 554 600 -6 812 837 -25 DL
#&gt; 4 2013 1 1 555 600 -5 913 854 19 B6
#&gt; 5 2013 1 1 557 600 -3 838 846 -8 B6
#&gt; 6 2013 1 1 558 600 -2 849 851 -2 B6
#&gt; # … with 25,971 more rows, 9 more variables: flight &lt;int&gt;, tailnum &lt;chr&gt;,
#&gt; # origin &lt;chr&gt;, dest &lt;chr&gt;, air_time &lt;dbl&gt;, distance &lt;dbl&gt;, hour &lt;dbl&gt;,
#&gt; # minute &lt;dbl&gt;, time_hour &lt;dttm&gt;, and abbreviated variable names
@@ -759,8 +751,8 @@ Positions</h2>
fifth_dep = nth(dep_time, 5),
last_dep = last(dep_time)
)
#&gt; `summarise()` has grouped output by 'year', 'month'. You can override using the
#&gt; `.groups` argument.
#&gt; `summarise()` has grouped output by 'year', 'month'. You can override using
#&gt; the `.groups` argument.
#&gt; # A tibble: 365 × 6
#&gt; # Groups: year, month [12]
#&gt; year month day first_dep fifth_dep last_dep
@@ -783,14 +775,14 @@ Positions</h2>
filter(r %in% c(1, max(r)))
#&gt; # A tibble: 1,195 × 20
#&gt; # Groups: year, month, day [365]
#&gt; year month day dep_time sched_dep…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
#&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;
#&gt; 1 2013 1 1 517 515 2 830 819 11 UA
#&gt; 2 2013 1 1 2353 2359 -6 425 445 -20 B6
#&gt; 3 2013 1 1 2353 2359 -6 418 442 -24 B6
#&gt; 4 2013 1 1 2356 2359 -3 425 437 -12 B6
#&gt; 5 2013 1 2 42 2359 43 518 442 36 B6
#&gt; 6 2013 1 2 458 500 -2 703 650 13 US
#&gt; year month day dep_time sched_…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier
#&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;
#&gt; 1 2013 1 1 517 515 2 830 819 11 UA
#&gt; 2 2013 1 1 2353 2359 -6 425 445 -20 B6
#&gt; 3 2013 1 1 2353 2359 -6 418 442 -24 B6
#&gt; 4 2013 1 1 2356 2359 -3 425 437 -12 B6
#&gt; 5 2013 1 2 42 2359 43 518 442 36 B6
#&gt; 6 2013 1 2 458 500 -2 703 650 13 US
#&gt; # … with 1,189 more rows, 10 more variables: flight &lt;int&gt;, tailnum &lt;chr&gt;,
#&gt; # origin &lt;chr&gt;, dest &lt;chr&gt;, air_time &lt;dbl&gt;, distance &lt;dbl&gt;, hour &lt;dbl&gt;,
#&gt; # minute &lt;dbl&gt;, time_hour &lt;dttm&gt;, r &lt;int&gt;, and abbreviated variable names