1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753
|
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Cell and Column Types</title>
<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
var i, h, a;
for (i = 0; i < hs.length; i++) {
h = hs[i];
if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
a = h.attributes;
while (a.length > 0) h.removeAttribute(a[0].name);
}
});
</script>
<style type="text/css">
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
</style>
<style type="text/css">
code {
white-space: pre;
}
.sourceCode {
overflow: visible;
}
</style>
<style type="text/css" data-origin="pandoc">
pre > code.sourceCode { white-space: pre; position: relative; }
pre > code.sourceCode > span { line-height: 1.25; }
pre > code.sourceCode > span:empty { height: 1.2em; }
.sourceCode { overflow: visible; }
code.sourceCode > span { color: inherit; text-decoration: inherit; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { display: inline-block; text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
{ counter-reset: source-line 0; }
pre.numberSource code > span
{ position: relative; left: -4em; counter-increment: source-line; }
pre.numberSource code > span > a:first-child::before
{ content: counter(source-line);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
-khtml-user-select: none; -moz-user-select: none;
-ms-user-select: none; user-select: none;
padding: 0 4px; width: 4em;
color: #aaaaaa;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
div.sourceCode
{ }
@media screen {
pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
code span.al { color: #ff0000; font-weight: bold; }
code span.an { color: #60a0b0; font-weight: bold; font-style: italic; }
code span.at { color: #7d9029; }
code span.bn { color: #40a070; }
code span.bu { color: #008000; }
code span.cf { color: #007020; font-weight: bold; }
code span.ch { color: #4070a0; }
code span.cn { color: #880000; }
code span.co { color: #60a0b0; font-style: italic; }
code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; }
code span.do { color: #ba2121; font-style: italic; }
code span.dt { color: #902000; }
code span.dv { color: #40a070; }
code span.er { color: #ff0000; font-weight: bold; }
code span.ex { }
code span.fl { color: #40a070; }
code span.fu { color: #06287e; }
code span.im { color: #008000; font-weight: bold; }
code span.in { color: #60a0b0; font-weight: bold; font-style: italic; }
code span.kw { color: #007020; font-weight: bold; }
code span.op { color: #666666; }
code span.ot { color: #007020; }
code span.pp { color: #bc7a00; }
code span.sc { color: #4070a0; }
code span.ss { color: #bb6688; }
code span.st { color: #4070a0; }
code span.va { color: #19177c; }
code span.vs { color: #4070a0; }
code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; }
</style>
<script>
// apply pandoc div.sourceCode style to pre.sourceCode instead
(function() {
var sheets = document.styleSheets;
for (var i = 0; i < sheets.length; i++) {
if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
try { var rules = sheets[i].cssRules; } catch (e) { continue; }
var j = 0;
while (j < rules.length) {
var rule = rules[j];
// check if there is a div.sourceCode rule
if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") {
j++;
continue;
}
var style = rule.style.cssText;
// check if color or background-color is set
if (rule.style.color === '' && rule.style.backgroundColor === '') {
j++;
continue;
}
// replace div.sourceCode by a pre.sourceCode rule
sheets[i].deleteRule(j);
sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
}
}
})();
</script>
<style type="text/css">body {
background-color: #fff;
margin: 1em auto;
max-width: 700px;
overflow: visible;
padding-left: 2em;
padding-right: 2em;
font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
font-size: 14px;
line-height: 1.35;
}
#TOC {
clear: both;
margin: 0 0 10px 10px;
padding: 4px;
width: 400px;
border: 1px solid #CCCCCC;
border-radius: 5px;
background-color: #f6f6f6;
font-size: 13px;
line-height: 1.3;
}
#TOC .toctitle {
font-weight: bold;
font-size: 15px;
margin-left: 5px;
}
#TOC ul {
padding-left: 40px;
margin-left: -1.5em;
margin-top: 5px;
margin-bottom: 5px;
}
#TOC ul ul {
margin-left: -2em;
}
#TOC li {
line-height: 16px;
}
table {
margin: 1em auto;
border-width: 1px;
border-color: #DDDDDD;
border-style: outset;
border-collapse: collapse;
}
table th {
border-width: 2px;
padding: 5px;
border-style: inset;
}
table td {
border-width: 1px;
border-style: inset;
line-height: 18px;
padding: 5px 5px;
}
table, table th, table td {
border-left-style: none;
border-right-style: none;
}
table thead, table tr.even {
background-color: #f7f7f7;
}
p {
margin: 0.5em 0;
}
blockquote {
background-color: #f6f6f6;
padding: 0.25em 0.75em;
}
hr {
border-style: solid;
border: none;
border-top: 1px solid #777;
margin: 28px 0;
}
dl {
margin-left: 0;
}
dl dd {
margin-bottom: 13px;
margin-left: 13px;
}
dl dt {
font-weight: bold;
}
ul {
margin-top: 0;
}
ul li {
list-style: circle outside;
}
ul ul {
margin-bottom: 0;
}
pre, code {
background-color: #f7f7f7;
border-radius: 3px;
color: #333;
white-space: pre-wrap;
}
pre {
border-radius: 3px;
margin: 5px 0px 10px 0px;
padding: 10px;
}
pre:not([class]) {
background-color: #f7f7f7;
}
code {
font-family: Consolas, Monaco, 'Courier New', monospace;
font-size: 85%;
}
p > code, li > code {
padding: 2px 0px;
}
div.figure {
text-align: center;
}
img {
background-color: #FFFFFF;
padding: 2px;
border: 1px solid #DDDDDD;
border-radius: 3px;
border: 1px solid #CCCCCC;
margin: 0 5px;
}
h1 {
margin-top: 0;
font-size: 35px;
line-height: 40px;
}
h2 {
border-bottom: 4px solid #f7f7f7;
padding-top: 10px;
padding-bottom: 2px;
font-size: 145%;
}
h3 {
border-bottom: 2px solid #f7f7f7;
padding-top: 10px;
font-size: 120%;
}
h4 {
border-bottom: 1px solid #f7f7f7;
margin-left: 8px;
font-size: 105%;
}
h5, h6 {
border-bottom: 1px solid #ccc;
font-size: 105%;
}
a {
color: #0033dd;
text-decoration: none;
}
a:hover {
color: #6666ff; }
a:visited {
color: #800080; }
a:visited:hover {
color: #BB00BB; }
a[href^="http:"] {
text-decoration: underline; }
a[href^="https:"] {
text-decoration: underline; }
code > span.kw { color: #555; font-weight: bold; }
code > span.dt { color: #902000; }
code > span.dv { color: #40a070; }
code > span.bn { color: #d14; }
code > span.fl { color: #d14; }
code > span.ch { color: #d14; }
code > span.st { color: #d14; }
code > span.co { color: #888888; font-style: italic; }
code > span.ot { color: #007020; }
code > span.al { color: #ff0000; font-weight: bold; }
code > span.fu { color: #900; font-weight: bold; }
code > span.er { color: #a61717; background-color: #e3d2d2; }
</style>
</head>
<body>
<h1 class="title toc-ignore">Cell and Column Types</h1>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">library</span>(readxl)</span></code></pre></div>
<p><code>readxl::read_excel()</code> will guess column types, by
default, or you can provide them explicitly via the
<code>col_types</code> argument. The <code>col_types</code> argument is
more flexible than you might think; you can mix actual types in with
<code>"skip"</code> and <code>"guess"</code> and a single type will be
recycled to the necessary length.</p>
<p>Here are different ways this might look:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="fu">read_excel</span>(<span class="st">"yo.xlsx"</span>)</span>
<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a><span class="fu">read_excel</span>(<span class="st">"yo.xlsx"</span>, <span class="at">col_types =</span> <span class="st">"numeric"</span>)</span>
<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a><span class="fu">read_excel</span>(<span class="st">"yo.xlsx"</span>, <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"date"</span>, <span class="st">"skip"</span>, <span class="st">"guess"</span>, <span class="st">"numeric"</span>))</span></code></pre></div>
<div id="type-guessing" class="section level2">
<h2>Type guessing</h2>
<p>If you use other packages in the <a href="https://www.tidyverse.org/">tidyverse</a>, you are probably
familiar with <a href="https://readr.tidyverse.org/">readr</a>, which
reads data from flat files. Like readxl, readr also provides column type
guessing, but readr and readxl are very different under the hood.</p>
<ul>
<li>readr guesses column type <em>based on the data</em>.</li>
<li>readxl guesses column type <em>based on Excel cell types</em>.</li>
</ul>
<p>Each cell in an Excel spreadsheet has its own type. For all intents
and purposes, they are:</p>
<p> empty < boolean < numeric < text</p>
<p>with the wrinkle that datetimes are a very special flavor of numeric.
A cell of any particular type can always be represented as one of any
higher type and, possibly, as one of lower type. When guessing,
<code>read_excel()</code> keeps a running “maximum” on the cell types it
has seen in any given column. Once it has visited <code>guess_max</code>
rows or run out of data, this is the guessed type for that column. There
is a strong current towards “text”, the column type of last resort.</p>
<p>Here’s an example of column guessing with <code>deaths.xlsx</code>
which ships with readxl.</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"deaths.xlsx"</span>), <span class="at">range =</span> <span class="fu">cell_rows</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">15</span>))</span>
<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a><span class="co">#> # A tibble: 10 × 6</span></span>
<span id="cb3-3"><a href="#cb3-3" tabindex="-1"></a><span class="co">#> Name Profession Age `Has kids` `Date of birth` `Date of death` </span></span>
<span id="cb3-4"><a href="#cb3-4" tabindex="-1"></a><span class="co">#> <chr> <chr> <dbl> <lgl> <dttm> <dttm> </span></span>
<span id="cb3-5"><a href="#cb3-5" tabindex="-1"></a><span class="co">#> 1 David Bow… musician 69 TRUE 1947-01-08 00:00:00 2016-01-10 00:00:00</span></span>
<span id="cb3-6"><a href="#cb3-6" tabindex="-1"></a><span class="co">#> 2 Carrie Fi… actor 60 TRUE 1956-10-21 00:00:00 2016-12-27 00:00:00</span></span>
<span id="cb3-7"><a href="#cb3-7" tabindex="-1"></a><span class="co">#> 3 Chuck Ber… musician 90 TRUE 1926-10-18 00:00:00 2017-03-18 00:00:00</span></span>
<span id="cb3-8"><a href="#cb3-8" tabindex="-1"></a><span class="co">#> 4 Bill Paxt… actor 61 TRUE 1955-05-17 00:00:00 2017-02-25 00:00:00</span></span>
<span id="cb3-9"><a href="#cb3-9" tabindex="-1"></a><span class="co">#> # ℹ 6 more rows</span></span></code></pre></div>
</div>
<div id="excel-types-r-types-col_types" class="section level2">
<h2>Excel types, R types, <code>col_types</code></h2>
<p>Here’s how the Excel cell/column types are translated into R types
and how to force the type explicitly in <code>col_types</code>:</p>
<table>
<colgroup>
<col width="26%" />
<col width="32%" />
<col width="40%" />
</colgroup>
<thead>
<tr class="header">
<th>How it is in Excel</th>
<th>How it will be in R</th>
<th>How to request in <code>col_types</code></th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td><em>anything</em></td>
<td><em>non-existent</em></td>
<td><code>"skip"</code></td>
</tr>
<tr class="even">
<td>empty</td>
<td><code>logical</code>, but all <code>NA</code></td>
<td><em>you cannot request this</em></td>
</tr>
<tr class="odd">
<td>boolean</td>
<td><code>logical</code></td>
<td><code>"logical"</code></td>
</tr>
<tr class="even">
<td>numeric</td>
<td><code>numeric</code></td>
<td><code>"numeric"</code></td>
</tr>
<tr class="odd">
<td>datetime</td>
<td><code>POSIXct</code></td>
<td><code>"date"</code></td>
</tr>
<tr class="even">
<td>text</td>
<td><code>character</code></td>
<td><code>"text"</code></td>
</tr>
<tr class="odd">
<td><em>anything</em></td>
<td><code>list</code></td>
<td><code>"list"</code></td>
</tr>
</tbody>
</table>
<p>Some explanation about the weird cases in the first two rows:</p>
<ul>
<li>If a column falls in your data rectangle, but you do not want an
associated variable in the output, specify the column type
<code>"skip"</code>. Internally, these cells may be visited in order to
learn their location, but they are not loaded and their data is never
read.</li>
<li>You cannot request that a column be included but filled with
<code>NA</code>s. Such a column can arise naturally, if all the cells
are empty, or you can skip a column (see previous point).</li>
</ul>
<p>Example of skipping and guessing:</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="fu">read_excel</span>(</span>
<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a> <span class="fu">readxl_example</span>(<span class="st">"deaths.xlsx"</span>),</span>
<span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a> <span class="at">range =</span> <span class="fu">cell_rows</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">15</span>),</span>
<span id="cb4-4"><a href="#cb4-4" tabindex="-1"></a> <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"guess"</span>, <span class="st">"skip"</span>, <span class="st">"guess"</span>, <span class="st">"skip"</span>, <span class="st">"skip"</span>, <span class="st">"skip"</span>)</span>
<span id="cb4-5"><a href="#cb4-5" tabindex="-1"></a>)</span>
<span id="cb4-6"><a href="#cb4-6" tabindex="-1"></a><span class="co">#> # A tibble: 10 × 2</span></span>
<span id="cb4-7"><a href="#cb4-7" tabindex="-1"></a><span class="co">#> Name Age</span></span>
<span id="cb4-8"><a href="#cb4-8" tabindex="-1"></a><span class="co">#> <chr> <dbl></span></span>
<span id="cb4-9"><a href="#cb4-9" tabindex="-1"></a><span class="co">#> 1 David Bowie 69</span></span>
<span id="cb4-10"><a href="#cb4-10" tabindex="-1"></a><span class="co">#> 2 Carrie Fisher 60</span></span>
<span id="cb4-11"><a href="#cb4-11" tabindex="-1"></a><span class="co">#> 3 Chuck Berry 90</span></span>
<span id="cb4-12"><a href="#cb4-12" tabindex="-1"></a><span class="co">#> 4 Bill Paxton 61</span></span>
<span id="cb4-13"><a href="#cb4-13" tabindex="-1"></a><span class="co">#> # ℹ 6 more rows</span></span></code></pre></div>
<p>More about the <code>"list"</code> column type in the last row:</p>
<ul>
<li>This will create a list-column in the output, each component of
which is a length one atomic vector. The type of these vectors is
determined using the logic described above. This can be useful if data
of truly disparate type is arranged in a column.</li>
</ul>
<p>We demonstrate the <code>"list"</code> column type using the
<code>clippy.xlsx</code> sheet that ship with Excel. Its second column
holds information about Clippy that would be really hard to store with
just one type.</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a>(clippy <span class="ot"><-</span> </span>
<span id="cb5-2"><a href="#cb5-2" tabindex="-1"></a> <span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"clippy.xlsx"</span>), <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"text"</span>, <span class="st">"list"</span>)))</span>
<span id="cb5-3"><a href="#cb5-3" tabindex="-1"></a><span class="co">#> # A tibble: 4 × 2</span></span>
<span id="cb5-4"><a href="#cb5-4" tabindex="-1"></a><span class="co">#> name value </span></span>
<span id="cb5-5"><a href="#cb5-5" tabindex="-1"></a><span class="co">#> <chr> <list> </span></span>
<span id="cb5-6"><a href="#cb5-6" tabindex="-1"></a><span class="co">#> 1 Name <chr [1]> </span></span>
<span id="cb5-7"><a href="#cb5-7" tabindex="-1"></a><span class="co">#> 2 Species <chr [1]> </span></span>
<span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a><span class="co">#> 3 Approx date of death <dttm [1]></span></span>
<span id="cb5-9"><a href="#cb5-9" tabindex="-1"></a><span class="co">#> 4 Weight in grams <dbl [1]></span></span>
<span id="cb5-10"><a href="#cb5-10" tabindex="-1"></a>tibble<span class="sc">::</span><span class="fu">deframe</span>(clippy)</span>
<span id="cb5-11"><a href="#cb5-11" tabindex="-1"></a><span class="co">#> $Name</span></span>
<span id="cb5-12"><a href="#cb5-12" tabindex="-1"></a><span class="co">#> [1] "Clippy"</span></span>
<span id="cb5-13"><a href="#cb5-13" tabindex="-1"></a><span class="co">#> </span></span>
<span id="cb5-14"><a href="#cb5-14" tabindex="-1"></a><span class="co">#> $Species</span></span>
<span id="cb5-15"><a href="#cb5-15" tabindex="-1"></a><span class="co">#> [1] "paperclip"</span></span>
<span id="cb5-16"><a href="#cb5-16" tabindex="-1"></a><span class="co">#> </span></span>
<span id="cb5-17"><a href="#cb5-17" tabindex="-1"></a><span class="co">#> $`Approx date of death`</span></span>
<span id="cb5-18"><a href="#cb5-18" tabindex="-1"></a><span class="co">#> [1] "2007-01-01 UTC"</span></span>
<span id="cb5-19"><a href="#cb5-19" tabindex="-1"></a><span class="co">#> </span></span>
<span id="cb5-20"><a href="#cb5-20" tabindex="-1"></a><span class="co">#> $`Weight in grams`</span></span>
<span id="cb5-21"><a href="#cb5-21" tabindex="-1"></a><span class="co">#> [1] 0.9</span></span>
<span id="cb5-22"><a href="#cb5-22" tabindex="-1"></a><span class="fu">sapply</span>(clippy<span class="sc">$</span>value, class)</span>
<span id="cb5-23"><a href="#cb5-23" tabindex="-1"></a><span class="co">#> [[1]]</span></span>
<span id="cb5-24"><a href="#cb5-24" tabindex="-1"></a><span class="co">#> [1] "character"</span></span>
<span id="cb5-25"><a href="#cb5-25" tabindex="-1"></a><span class="co">#> </span></span>
<span id="cb5-26"><a href="#cb5-26" tabindex="-1"></a><span class="co">#> [[2]]</span></span>
<span id="cb5-27"><a href="#cb5-27" tabindex="-1"></a><span class="co">#> [1] "character"</span></span>
<span id="cb5-28"><a href="#cb5-28" tabindex="-1"></a><span class="co">#> </span></span>
<span id="cb5-29"><a href="#cb5-29" tabindex="-1"></a><span class="co">#> [[3]]</span></span>
<span id="cb5-30"><a href="#cb5-30" tabindex="-1"></a><span class="co">#> [1] "POSIXct" "POSIXt" </span></span>
<span id="cb5-31"><a href="#cb5-31" tabindex="-1"></a><span class="co">#> </span></span>
<span id="cb5-32"><a href="#cb5-32" tabindex="-1"></a><span class="co">#> [[4]]</span></span>
<span id="cb5-33"><a href="#cb5-33" tabindex="-1"></a><span class="co">#> [1] "numeric"</span></span></code></pre></div>
<p>Final note: all datetimes are imported as having the UTC timezone,
because, mercifully, Excel has no notion of timezones.</p>
</div>
<div id="when-column-guessing-goes-wrong" class="section level2">
<h2>When column guessing goes wrong</h2>
<p>It’s pretty common to expect a column to import as, say, numeric or
datetime. And to then be sad when it imports as character instead. Two
main causes:</p>
<p><strong>Contamination by embedded missing or bad data of incompatible
type.</strong> Example: missing data entered as <code>??</code> in a
numeric column.</p>
<ul>
<li>Fix: use the <code>na</code> argument of <code>read_excel()</code>
to describe all possible forms for missing data. This should prevent
such cells from influencing type guessing and cause them to import as
<code>NA</code> of the appropriate type.</li>
</ul>
<p><strong>Contamination of the data rectangle by leading or trailing
non-data rows.</strong> Example: the sheet contains a few lines of
explanatory prose before the data table begins.</p>
<ul>
<li>Fix: specify the target rectangle. Use <code>skip</code> and
<code>n_max</code> to provide a minimum number of rows to skip and a
maximum number of data rows to read, respectively. Or use the more
powerful <code>range</code> argument to describe the cell rectangle in
various ways. See the examples for <code>read_excel()</code> help or
<code>vignette("sheet-geometry")</code> for more detail.</li>
</ul>
<p>The <code>deaths.xlsx</code> sheet demonstrates this perfectly.
Here’s how it imports if we don’t specify <code>range</code> as we did
above:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a>deaths <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"deaths.xlsx"</span>))</span>
<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a><span class="co">#> New names:</span></span>
<span id="cb6-3"><a href="#cb6-3" tabindex="-1"></a><span class="co">#> • `` -> `...2`</span></span>
<span id="cb6-4"><a href="#cb6-4" tabindex="-1"></a><span class="co">#> • `` -> `...3`</span></span>
<span id="cb6-5"><a href="#cb6-5" tabindex="-1"></a><span class="co">#> • `` -> `...4`</span></span>
<span id="cb6-6"><a href="#cb6-6" tabindex="-1"></a><span class="co">#> • `` -> `...5`</span></span>
<span id="cb6-7"><a href="#cb6-7" tabindex="-1"></a><span class="co">#> • `` -> `...6`</span></span>
<span id="cb6-8"><a href="#cb6-8" tabindex="-1"></a><span class="fu">print</span>(deaths, <span class="at">n =</span> <span class="cn">Inf</span>)</span>
<span id="cb6-9"><a href="#cb6-9" tabindex="-1"></a><span class="co">#> # A tibble: 18 × 6</span></span>
<span id="cb6-10"><a href="#cb6-10" tabindex="-1"></a><span class="co">#> `Lots of people` ...2 ...3 ...4 ...5 ...6 </span></span>
<span id="cb6-11"><a href="#cb6-11" tabindex="-1"></a><span class="co">#> <chr> <chr> <chr> <chr> <chr> <chr></span></span>
<span id="cb6-12"><a href="#cb6-12" tabindex="-1"></a><span class="co">#> 1 simply cannot resist writing <NA> <NA> <NA> <NA> some…</span></span>
<span id="cb6-13"><a href="#cb6-13" tabindex="-1"></a><span class="co">#> 2 at the top <NA> of thei…</span></span>
<span id="cb6-14"><a href="#cb6-14" tabindex="-1"></a><span class="co">#> 3 or merging <NA> <NA> <NA> cells</span></span>
<span id="cb6-15"><a href="#cb6-15" tabindex="-1"></a><span class="co">#> 4 Name Profession Age Has … Date… Date…</span></span>
<span id="cb6-16"><a href="#cb6-16" tabindex="-1"></a><span class="co">#> 5 David Bowie musician 69 TRUE 17175 42379</span></span>
<span id="cb6-17"><a href="#cb6-17" tabindex="-1"></a><span class="co">#> 6 Carrie Fisher actor 60 TRUE 20749 42731</span></span>
<span id="cb6-18"><a href="#cb6-18" tabindex="-1"></a><span class="co">#> 7 Chuck Berry musician 90 TRUE 9788 42812</span></span>
<span id="cb6-19"><a href="#cb6-19" tabindex="-1"></a><span class="co">#> 8 Bill Paxton actor 61 TRUE 20226 42791</span></span>
<span id="cb6-20"><a href="#cb6-20" tabindex="-1"></a><span class="co">#> 9 Prince musician 57 TRUE 21343 42481</span></span>
<span id="cb6-21"><a href="#cb6-21" tabindex="-1"></a><span class="co">#> 10 Alan Rickman actor 69 FALSE 16854 42383</span></span>
<span id="cb6-22"><a href="#cb6-22" tabindex="-1"></a><span class="co">#> 11 Florence Henderson actor 82 TRUE 12464 42698</span></span>
<span id="cb6-23"><a href="#cb6-23" tabindex="-1"></a><span class="co">#> 12 Harper Lee author 89 FALSE 9615 42419</span></span>
<span id="cb6-24"><a href="#cb6-24" tabindex="-1"></a><span class="co">#> 13 Zsa Zsa Gábor actor 99 TRUE 6247 42722</span></span>
<span id="cb6-25"><a href="#cb6-25" tabindex="-1"></a><span class="co">#> 14 George Michael musician 53 FALSE 23187 42729</span></span>
<span id="cb6-26"><a href="#cb6-26" tabindex="-1"></a><span class="co">#> 15 Some <NA> <NA> <NA> <NA> <NA> </span></span>
<span id="cb6-27"><a href="#cb6-27" tabindex="-1"></a><span class="co">#> 16 <NA> also like to write stuff <NA> <NA> <NA> <NA> </span></span>
<span id="cb6-28"><a href="#cb6-28" tabindex="-1"></a><span class="co">#> 17 <NA> <NA> at t… bott… <NA> <NA> </span></span>
<span id="cb6-29"><a href="#cb6-29" tabindex="-1"></a><span class="co">#> 18 <NA> <NA> <NA> <NA> <NA> too!</span></span></code></pre></div>
<p>Non-data rows above and below the main data rectangle are causing all
the columns to import as character.</p>
<p>If your column typing problem can’t be solved by specifying
<code>na</code> or the data rectangle, request the <code>"list"</code>
column type and handle missing data and coercion after import.</p>
<div id="peek-at-column-names" class="section level3">
<h3>Peek at column names</h3>
<p>Sometimes you aren’t completely sure of column count or order, and
yet you need to provide <em>some</em> information via
<code>col_types</code>. For example, you might know that the column
named “foofy” should be text, but you’re not sure where it appears. Or
maybe you want to ensure that lots of empty cells at the top of “foofy”
don’t cause it to be guessed as logical.</p>
<p>Here’s an efficient trick to get the column names, so you can
programmatically build the <code>col_types</code> vector you need for
your main reading of the Excel file. Let’s imagine I want to force the
columns whose names include “Petal” to be text, but leave everything
else to be guessed.</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a>(nms <span class="ot"><-</span> <span class="fu">names</span>(<span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"datasets.xlsx"</span>), <span class="at">n_max =</span> <span class="dv">0</span>)))</span>
<span id="cb7-2"><a href="#cb7-2" tabindex="-1"></a><span class="co">#> [1] "mpg" "cyl" "disp" "hp" "drat" "wt" "qsec" "vs" "am" "gear"</span></span>
<span id="cb7-3"><a href="#cb7-3" tabindex="-1"></a><span class="co">#> [11] "carb"</span></span>
<span id="cb7-4"><a href="#cb7-4" tabindex="-1"></a>(ct <span class="ot"><-</span> <span class="fu">ifelse</span>(<span class="fu">grepl</span>(<span class="st">"^Petal"</span>, nms), <span class="st">"text"</span>, <span class="st">"guess"</span>))</span>
<span id="cb7-5"><a href="#cb7-5" tabindex="-1"></a><span class="co">#> [1] "guess" "guess" "guess" "guess" "guess" "guess" "guess" "guess" "guess"</span></span>
<span id="cb7-6"><a href="#cb7-6" tabindex="-1"></a><span class="co">#> [10] "guess" "guess"</span></span>
<span id="cb7-7"><a href="#cb7-7" tabindex="-1"></a><span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"datasets.xlsx"</span>), <span class="at">col_types =</span> ct)</span>
<span id="cb7-8"><a href="#cb7-8" tabindex="-1"></a><span class="co">#> # A tibble: 32 × 11</span></span>
<span id="cb7-9"><a href="#cb7-9" tabindex="-1"></a><span class="co">#> mpg cyl disp hp drat wt qsec vs am gear carb</span></span>
<span id="cb7-10"><a href="#cb7-10" tabindex="-1"></a><span class="co">#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl></span></span>
<span id="cb7-11"><a href="#cb7-11" tabindex="-1"></a><span class="co">#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4</span></span>
<span id="cb7-12"><a href="#cb7-12" tabindex="-1"></a><span class="co">#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4</span></span>
<span id="cb7-13"><a href="#cb7-13" tabindex="-1"></a><span class="co">#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1</span></span>
<span id="cb7-14"><a href="#cb7-14" tabindex="-1"></a><span class="co">#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1</span></span>
<span id="cb7-15"><a href="#cb7-15" tabindex="-1"></a><span class="co">#> # ℹ 28 more rows</span></span></code></pre></div>
</div>
</div>
<div id="square-pegs-in-round-holes" class="section level2">
<h2>Square pegs in round holes</h2>
<p>You can force a column to have a specific type via
<code>col_types</code>. So what happens to cells of another type? They
will either be coerced to the requested type or to an <code>NA</code> of
appropriate type.</p>
<p>For each column type, below we present a screen shot of a sheet from
the built-in example <code>type-me.xlsx</code>. We force the first
column to have a specific type and the second column explains what is in
the first. You’ll see how mismatches between cell type and column type
are resolved.</p>
<div id="logical-column" class="section level3">
<h3>Logical column</h3>
<p>A numeric cell is coerced to <code>FALSE</code> if it is zero and
<code>TRUE</code> otherwise. A date cell becomes <code>NA</code>. Just
like in R, the strings “T”, “TRUE”, “True”, and “true” are regarded as
<code>TRUE</code> and “F”, “FALSE”, “False”, “false” as
<code>FALSE</code>. Other strings import as <code>NA</code>.</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" tabindex="-1"></a>df <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"type-me.xlsx"</span>), <span class="at">sheet =</span> <span class="st">"logical_coercion"</span>,</span>
<span id="cb8-2"><a href="#cb8-2" tabindex="-1"></a> <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"logical"</span>, <span class="st">"text"</span>))</span>
<span id="cb8-3"><a href="#cb8-3" tabindex="-1"></a><span class="co">#> Warning: Expecting logical in A5 / R5C1: got a date</span></span>
<span id="cb8-4"><a href="#cb8-4" tabindex="-1"></a><span class="co">#> Warning: Expecting logical in A8 / R8C1: got 'cabbage'</span></span>
<span id="cb8-5"><a href="#cb8-5" tabindex="-1"></a><span class="fu">print</span>(df, <span class="at">n =</span> <span class="cn">Inf</span>)</span>
<span id="cb8-6"><a href="#cb8-6" tabindex="-1"></a><span class="co">#> # A tibble: 10 × 2</span></span>
<span id="cb8-7"><a href="#cb8-7" tabindex="-1"></a><span class="co">#> `maybe boolean?` description </span></span>
<span id="cb8-8"><a href="#cb8-8" tabindex="-1"></a><span class="co">#> <lgl> <chr> </span></span>
<span id="cb8-9"><a href="#cb8-9" tabindex="-1"></a><span class="co">#> 1 NA "empty" </span></span>
<span id="cb8-10"><a href="#cb8-10" tabindex="-1"></a><span class="co">#> 2 FALSE "0 (numeric)" </span></span>
<span id="cb8-11"><a href="#cb8-11" tabindex="-1"></a><span class="co">#> 3 TRUE "1 (numeric)" </span></span>
<span id="cb8-12"><a href="#cb8-12" tabindex="-1"></a><span class="co">#> 4 NA "datetime" </span></span>
<span id="cb8-13"><a href="#cb8-13" tabindex="-1"></a><span class="co">#> 5 TRUE "boolean true" </span></span>
<span id="cb8-14"><a href="#cb8-14" tabindex="-1"></a><span class="co">#> 6 FALSE "boolean false" </span></span>
<span id="cb8-15"><a href="#cb8-15" tabindex="-1"></a><span class="co">#> 7 NA "\"cabbage\"" </span></span>
<span id="cb8-16"><a href="#cb8-16" tabindex="-1"></a><span class="co">#> 8 TRUE "the string \"true\"" </span></span>
<span id="cb8-17"><a href="#cb8-17" tabindex="-1"></a><span class="co">#> 9 FALSE "the letter \"F\"" </span></span>
<span id="cb8-18"><a href="#cb8-18" tabindex="-1"></a><span class="co">#> 10 FALSE "\"False\" preceded by single quote"</span></span></code></pre></div>
<p><img src=“img/type-me-logical.png” alt=“Screenshot of the
worksheet named”logical_coercion” inside the “type-me.xlsx” example
spreadsheet. The cells in the first column (column A) have very mixed
contents, such as empty, datetime, or string. The cells in the second
column (column B) describe the contents of the first column in precise
language.” width=“70%” /></p>
</div>
<div id="numeric-column" class="section level3">
<h3>Numeric column</h3>
<p>A boolean cell is coerced to zero if <code>FALSE</code> and one if
<code>TRUE</code>. A datetime comes in as the underlying serial date,
which is the number of days, possibly fractional, since the <a href="https://learn.microsoft.com/en-US/office/troubleshoot/excel/1900-and-1904-date-system">date
origin</a>. For text, numeric conversion is attempted, to handle the
“number as text” phenomenon. If unsuccessful, text cells import as
<code>NA</code>.</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" tabindex="-1"></a>df <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"type-me.xlsx"</span>), <span class="at">sheet =</span> <span class="st">"numeric_coercion"</span>,</span>
<span id="cb9-2"><a href="#cb9-2" tabindex="-1"></a> <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"numeric"</span>, <span class="st">"text"</span>))</span>
<span id="cb9-3"><a href="#cb9-3" tabindex="-1"></a><span class="co">#> Warning: Coercing boolean to numeric in A3 / R3C1</span></span>
<span id="cb9-4"><a href="#cb9-4" tabindex="-1"></a><span class="co">#> Warning: Coercing boolean to numeric in A4 / R4C1</span></span>
<span id="cb9-5"><a href="#cb9-5" tabindex="-1"></a><span class="co">#> Warning: Expecting numeric in A5 / R5C1: got a date</span></span>
<span id="cb9-6"><a href="#cb9-6" tabindex="-1"></a><span class="co">#> Warning: Coercing text to numeric in A6 / R6C1: '123456'</span></span>
<span id="cb9-7"><a href="#cb9-7" tabindex="-1"></a><span class="co">#> Warning: Expecting numeric in A8 / R8C1: got 'cabbage'</span></span>
<span id="cb9-8"><a href="#cb9-8" tabindex="-1"></a><span class="fu">print</span>(df, <span class="at">n =</span> <span class="cn">Inf</span>)</span>
<span id="cb9-9"><a href="#cb9-9" tabindex="-1"></a><span class="co">#> # A tibble: 7 × 2</span></span>
<span id="cb9-10"><a href="#cb9-10" tabindex="-1"></a><span class="co">#> `maybe numeric?` explanation </span></span>
<span id="cb9-11"><a href="#cb9-11" tabindex="-1"></a><span class="co">#> <dbl> <chr> </span></span>
<span id="cb9-12"><a href="#cb9-12" tabindex="-1"></a><span class="co">#> 1 NA "empty" </span></span>
<span id="cb9-13"><a href="#cb9-13" tabindex="-1"></a><span class="co">#> 2 1 "boolean true" </span></span>
<span id="cb9-14"><a href="#cb9-14" tabindex="-1"></a><span class="co">#> 3 0 "boolean false" </span></span>
<span id="cb9-15"><a href="#cb9-15" tabindex="-1"></a><span class="co">#> 4 40534 "datetime" </span></span>
<span id="cb9-16"><a href="#cb9-16" tabindex="-1"></a><span class="co">#> 5 123456 "the string \"123456\""</span></span>
<span id="cb9-17"><a href="#cb9-17" tabindex="-1"></a><span class="co">#> 6 123456 "the number 123456" </span></span>
<span id="cb9-18"><a href="#cb9-18" tabindex="-1"></a><span class="co">#> 7 NA "\"cabbage\""</span></span></code></pre></div>
<p><img src=“img/type-me-numeric.png” alt=“Screenshot of the
worksheet named”numeric_coercion” inside the “type-me.xlsx” example
spreadsheet. The cells in the first column (column A) have very mixed
contents, such as empty, datetime, or string. The cells in the second
column (column B) describe the contents of the first column in precise
language.” width=“70%” /></p>
</div>
<div id="date-column" class="section level3">
<h3>Date column</h3>
<p>A numeric cell is interpreted as a serial date (<em>I’m questioning
whether this is wise, but <a href="https://github.com/tidyverse/readxl/issues/266" class="uri">https://github.com/tidyverse/readxl/issues/266</a></em>).
Boolean or text cells become <code>NA</code>.</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" tabindex="-1"></a>df <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"type-me.xlsx"</span>), <span class="at">sheet =</span> <span class="st">"date_coercion"</span>,</span>
<span id="cb10-2"><a href="#cb10-2" tabindex="-1"></a> <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"date"</span>, <span class="st">"text"</span>))</span>
<span id="cb10-3"><a href="#cb10-3" tabindex="-1"></a><span class="co">#> Warning: Expecting date in A5 / R5C1: got boolean</span></span>
<span id="cb10-4"><a href="#cb10-4" tabindex="-1"></a><span class="co">#> Warning: Expecting date in A6 / R6C1: got 'cabbage'</span></span>
<span id="cb10-5"><a href="#cb10-5" tabindex="-1"></a><span class="co">#> Warning: Coercing numeric to date in A7 / R7C1</span></span>
<span id="cb10-6"><a href="#cb10-6" tabindex="-1"></a><span class="co">#> Warning: Coercing numeric to date in A8 / R8C1</span></span>
<span id="cb10-7"><a href="#cb10-7" tabindex="-1"></a><span class="fu">print</span>(df, <span class="at">n =</span> <span class="cn">Inf</span>)</span>
<span id="cb10-8"><a href="#cb10-8" tabindex="-1"></a><span class="co">#> # A tibble: 7 × 2</span></span>
<span id="cb10-9"><a href="#cb10-9" tabindex="-1"></a><span class="co">#> `maybe a datetime?` explanation </span></span>
<span id="cb10-10"><a href="#cb10-10" tabindex="-1"></a><span class="co">#> <dttm> <chr> </span></span>
<span id="cb10-11"><a href="#cb10-11" tabindex="-1"></a><span class="co">#> 1 NA "empty" </span></span>
<span id="cb10-12"><a href="#cb10-12" tabindex="-1"></a><span class="co">#> 2 2016-05-23 00:00:00 "date only format" </span></span>
<span id="cb10-13"><a href="#cb10-13" tabindex="-1"></a><span class="co">#> 3 2016-04-28 11:30:00 "date and time format"</span></span>
<span id="cb10-14"><a href="#cb10-14" tabindex="-1"></a><span class="co">#> 4 NA "boolean true" </span></span>
<span id="cb10-15"><a href="#cb10-15" tabindex="-1"></a><span class="co">#> 5 NA "\"cabbage\"" </span></span>
<span id="cb10-16"><a href="#cb10-16" tabindex="-1"></a><span class="co">#> 6 1904-01-05 07:12:00 "4.3 (numeric)" </span></span>
<span id="cb10-17"><a href="#cb10-17" tabindex="-1"></a><span class="co">#> 7 2012-01-02 00:00:00 "another numeric"</span></span></code></pre></div>
<p><img src=“img/type-me-date.png” alt=“Screenshot of the worksheet
named”date_coercion” inside the “type-me.xlsx” example spreadsheet. The
cells in the first column (column A) have very mixed contents, such as
empty, datetime, or string. The cells in the second column (column B)
describe the contents of the first column in precise language.”
width=“70%” /></p>
</div>
<div id="text-or-character-column" class="section level3">
<h3>Text or character column</h3>
<p>A boolean cell becomes either <code>"TRUE"</code> or
<code>"FALSE"</code>. A numeric cell is converted to character, much
like <code>as.character()</code> in R. A date cell is handled like
numeric, using the underlying serial value.</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" tabindex="-1"></a>df <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="fu">readxl_example</span>(<span class="st">"type-me.xlsx"</span>), <span class="at">sheet =</span> <span class="st">"text_coercion"</span>,</span>
<span id="cb11-2"><a href="#cb11-2" tabindex="-1"></a> <span class="at">col_types =</span> <span class="fu">c</span>(<span class="st">"text"</span>, <span class="st">"text"</span>))</span>
<span id="cb11-3"><a href="#cb11-3" tabindex="-1"></a><span class="fu">print</span>(df, <span class="at">n =</span> <span class="cn">Inf</span>)</span>
<span id="cb11-4"><a href="#cb11-4" tabindex="-1"></a><span class="co">#> # A tibble: 6 × 2</span></span>
<span id="cb11-5"><a href="#cb11-5" tabindex="-1"></a><span class="co">#> text explanation </span></span>
<span id="cb11-6"><a href="#cb11-6" tabindex="-1"></a><span class="co">#> <chr> <chr> </span></span>
<span id="cb11-7"><a href="#cb11-7" tabindex="-1"></a><span class="co">#> 1 <NA> "empty" </span></span>
<span id="cb11-8"><a href="#cb11-8" tabindex="-1"></a><span class="co">#> 2 cabbage "\"cabbage\"" </span></span>
<span id="cb11-9"><a href="#cb11-9" tabindex="-1"></a><span class="co">#> 3 TRUE "boolean true" </span></span>
<span id="cb11-10"><a href="#cb11-10" tabindex="-1"></a><span class="co">#> 4 1.3 "numeric" </span></span>
<span id="cb11-11"><a href="#cb11-11" tabindex="-1"></a><span class="co">#> 5 41175 "datetime" </span></span>
<span id="cb11-12"><a href="#cb11-12" tabindex="-1"></a><span class="co">#> 6 36436153 "another numeric"</span></span></code></pre></div>
<p><img src=“img/type-me-text.png” alt=“Screenshot of the worksheet
named”text_coercion” inside the “type-me.xlsx” example spreadsheet. The
cells in the first column (column A) have very mixed contents, such as
empty, datetime, or string. The cells in the second column (column B)
describe the contents of the first column in precise language.”
width=“70%” /></p>
</div>
</div>
<!-- code folding -->
<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
(function () {
var script = document.createElement("script");
script.type = "text/javascript";
script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
document.getElementsByTagName("head")[0].appendChild(script);
})();
</script>
</body>
</html>
|