build based on 7856226

TidierOrg · Aug 13, 2024 · 16db890 · 16db890
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Showing 2 changed files with 35 additions and 35 deletions.
diff --git a/latest/examples/generated/UserGuide/ibis_comp/index.html b/latest/examples/generated/UserGuide/ibis_comp/index.html
@@ -975,7 +975,7 @@ <h2 id="selecting-columns">Selecting columns<a class="headerlink" href="#selecti
 </code></pre></div>
 <p>TidierDB does not require names to be prefixed and, like TidierData, tidy column selection with <code>starts_with</code>, <code>ends_with</code>, and <code>contains</code> is supported at base. TidierDB also supports providing column names as strings, although this would only be needed in the setting of renaming a column with a space in it.</p>
 <p>TidierDB</p>
-<div class="highlight"><pre><span></span><code>@chain t(mtcars) @select(starts_with(&quot;m&quot;), &quot;drat&quot;, wt) @collect
+<div class="highlight"><pre><span></span><code><span class="nd">@chain</span><span class="w"> </span><span class="n">t</span><span class="p">(</span><span class="n">mtcars</span><span class="p">)</span><span class="w"> </span><span class="nd">@select</span><span class="p">(</span><span class="n">starts_with</span><span class="p">(</span><span class="s">&quot;m&quot;</span><span class="p">),</span><span class="w"> </span><span class="s">&quot;drat&quot;</span><span class="p">,</span><span class="w"> </span><span class="n">wt</span><span class="p">)</span><span class="w"> </span><span class="nd">@collect</span>
 </code></pre></div>
 <div class="highlight"><pre><span></span><code>32×4 DataFrame
  Row │ model              mpg       drat      wt
@@ -1019,13 +1019,13 @@ <h2 id="multi-step-queries-and-summarizing">Multi step queries and summarizing<a
 </code></pre></div>
 <p>In TidierDB, <code>@filter</code> will automatically determine whether the criteria belong in a <code>WHERE</code> or <code>HAVING</code> SQL clause.</p>
 <p>TidierDB</p>
-<div class="highlight"><pre><span></span><code>@chain t(mtcars) begin
-    @group_by(cyl)
-    @summarize(total_hp = sum(hp),
-               avg_hp = avg(hp))
-    @filter(total_hp &lt; 1000)
-    @collect
-end
+<div class="highlight"><pre><span></span><code><span class="nd">@chain</span><span class="w"> </span><span class="n">t</span><span class="p">(</span><span class="n">mtcars</span><span class="p">)</span><span class="w"> </span><span class="k">begin</span>
+<span class="w">    </span><span class="nd">@group_by</span><span class="p">(</span><span class="n">cyl</span><span class="p">)</span>
+<span class="w">    </span><span class="nd">@summarize</span><span class="p">(</span><span class="n">total_hp</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sum</span><span class="p">(</span><span class="n">hp</span><span class="p">),</span>
+<span class="w">               </span><span class="n">avg_hp</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">avg</span><span class="p">(</span><span class="n">hp</span><span class="p">))</span>
+<span class="w">    </span><span class="nd">@filter</span><span class="p">(</span><span class="n">total_hp</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="mi">1000</span><span class="p">)</span>
+<span class="w">    </span><span class="nd">@collect</span>
+<span class="k">end</span>
 </code></pre></div>
 <div class="highlight"><pre><span></span><code>2×3 DataFrame
  Row │ cyl     total_hp  avg_hp