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@@ -838,12 +838,12 @@ <h1 class="title"><span id="sec-import-databases" class="quarto-section-identifi
 <span><span class="co">#&gt; # Database: DuckDB v1.1.0 [root@Darwin 24.0.0:R 4.4.1/:memory:]</span></span>
 <span><span class="co">#&gt;   destino atraso</span></span>
 <span><span class="co">#&gt;   &lt;chr&gt;    &lt;dbl&gt;</span></span>
-<span><span class="co">#&gt; 1 ATL      11.3 </span></span>
-<span><span class="co">#&gt; 2 MCO       5.45</span></span>
-<span><span class="co">#&gt; 3 MSY       6.49</span></span>
-<span><span class="co">#&gt; 4 XNA       7.47</span></span>
-<span><span class="co">#&gt; 5 BNA      11.8 </span></span>
-<span><span class="co">#&gt; 6 ALB      14.4 </span></span>
+<span><span class="co">#&gt; 1 SFO       2.67</span></span>
+<span><span class="co">#&gt; 2 GSP      15.9 </span></span>
+<span><span class="co">#&gt; 3 SJU       2.52</span></span>
+<span><span class="co">#&gt; 4 GSO      14.1 </span></span>
+<span><span class="co">#&gt; 5 STT      -3.84</span></span>
+<span><span class="co">#&gt; 6 SAN       3.14</span></span>
 <span><span class="co">#&gt; # ℹ more rows</span></span></code><button title="Copiar para a área de transferência" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>Se você quiser saber mais em como o <code>NULL</code> funciona, você irá gostar do artigo “<a href="https://modern-sql.com/concept/three-valued-logic"><em>Three valued logic</em></a>” de Markus Winand.</p>

diff --git a/datetimes.html b/datetimes.html
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@@ -494,7 +494,7 @@ <h1 class="title"><span id="sec-dates-and-times" class="quarto-section-identifie
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://lubridate.tidyverse.org/reference/now.html">today</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="co">#&gt; [1] "2024-11-04"</span></span>
 <span><span class="fu"><a href="https://lubridate.tidyverse.org/reference/now.html">now</a></span><span class="op">(</span><span class="op">)</span></span>
-<span><span class="co">#&gt; [1] "2024-11-04 10:26:14 PST"</span></span></code><button title="Copiar para a área de transferência" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span><span class="co">#&gt; [1] "2024-11-04 10:54:58 PST"</span></span></code><button title="Copiar para a área de transferência" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>Otherwise, the following sections describe the four ways you’re likely to create a date/time:</p>
 <ul>

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@@ -401,7 +401,7 @@ <h1 class="title"><span id="sec-import" class="quarto-section-identifier">Import
 <li><p>No <a href="spreadsheets.html" class="quarto-xref"><span>20&nbsp; Planilhas</span></a>, você aprenderá como importar dados de planilhas do Excel e do Planilhas Google (<em>Google Sheets</em>).</p></li>
 <li><p>No <a href="databases.html" class="quarto-xref"><span>21&nbsp; Bancos de dados</span></a>, você aprenderá sobre obter dados de um banco de dados (<em>databases</em>) e importar para o R (e você também aprenderá um pouco sobre como exportar dados do R para um banco de dados).</p></li>
 <li><p>No <a href="arrow.html" class="quarto-xref"><span>22&nbsp; Arrow</span></a>, você aprenderá sobre o <em>Arrow</em>, uma poderosa ferramenta para trabalhar com volume de dados que não cabem na memória do seu computador, particularmente quando são armazenados em formato <em>parquet</em>.</p></li>
-<li><p>No <a href="rectangling.html" class="quarto-xref"><span>23&nbsp; Hierarchical data</span></a>, você aprenderá como trabalhar com dados hierárquicos, incluindo as listas profundamente aninhadas produzidas por dados em formato JSON.</p></li>
+<li><p>No <a href="rectangling.html" class="quarto-xref"><span>23&nbsp; Dados hierárquicos (rectangling)</span></a>, você aprenderá como trabalhar com dados hierárquicos, incluindo as listas profundamente aninhadas produzidas por dados em formato JSON.</p></li>
 <li><p>No <a href="webscraping.html" class="quarto-xref"><span>24&nbsp; Raspagem de dados (Web scraping)</span></a>, você aprenderá sobre raspagem de dados (<em>web scraping</em>), a arte e a ciência de extrair dados de páginas web.</p></li>
 </ul>
 <p>Existem dois pacotes tidyverse importantes que não são apresentados aqui: haven e xml2. Se você está trabalhando com dados de arquivos do SPSS, Stata ou SAS, veja o pacote <strong>haven</strong> , <a href="https://haven.tidyverse.org" class="uri">https://haven.tidyverse.org</a>. Se você está trabalhando com dados XML, veja o pacote <strong>xml2</strong> , <a href="https://xml2.r-lib.org" class="uri">https://xml2.r-lib.org</a>. Caso contrário, você precisará pesquisar qual pacote você deverá utilizar; o Google será seu amigo neste caso 😃.</p>

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@@ -1304,11 +1304,11 @@ <h1 class="title"><span id="sec-iteration" class="quarto-section-identifier"><sp
 <span><span class="co">#&gt;    year     n</span></span>
 <span><span class="co">#&gt;   &lt;dbl&gt; &lt;dbl&gt;</span></span>
 <span><span class="co">#&gt; 1  2007   142</span></span>
-<span><span class="co">#&gt; 2  1962   142</span></span>
-<span><span class="co">#&gt; 3  1982   142</span></span>
-<span><span class="co">#&gt; 4  1977   142</span></span>
-<span><span class="co">#&gt; 5  1987   142</span></span>
-<span><span class="co">#&gt; 6  1967   142</span></span>
+<span><span class="co">#&gt; 2  1952   142</span></span>
+<span><span class="co">#&gt; 3  1957   142</span></span>
+<span><span class="co">#&gt; 4  1972   142</span></span>
+<span><span class="co">#&gt; 5  1992   142</span></span>
+<span><span class="co">#&gt; 6  1962   142</span></span>
 <span><span class="co">#&gt; # ℹ more rows</span></span></code><button title="Copiar para a área de transferência" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 </section><section id="gravando-arquivos-csv" class="level3" data-number="26.4.2"><h3 data-number="26.4.2" class="anchored" data-anchor-id="gravando-arquivos-csv">

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