minor update

docs/index.html

@@ -244,7 +244,7 @@ <h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-list
 
 <div class="quarto-listing quarto-listing-container-default" id="listing-listing">
 <div class="list quarto-listing-default">
-<div class="quarto-post image-right" data-index="0" data-categories="code,rtip,operations" data-listing-date-sort="1733202000000" data-listing-file-modified-sort="1733229125061" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="7" data-listing-word-count-sort="1279">
+<div class="quarto-post image-right" data-index="0" data-categories="code,rtip,operations" data-listing-date-sort="1733202000000" data-listing-file-modified-sort="1733230164354" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="7" data-listing-word-count-sort="1279">
 <div class="thumbnail">
 <p><a href="./posts/2024-12-03/index.html" class="no-external"></a></p><a href="./posts/2024-12-03/index.html" class="no-external">
 <p class="card-img-top"><img src="posts\2024-12-03\todays_post.png"  class="thumbnail-image card-img"/></p>

docs/index.xml

@@ -300,7 +300,14 @@ background-color: null;
 font-style: inherit;">NA</span>)</span>
 <span id="cb15-7">)</span></code></pre></div>
 </div>
-<p>Try to perform the following tasks: 1. Find the missing values in the <code>employee</code> data frame. 2. Count the total number of missing values in the <code>employee</code> data frame. 3. Count the number of missing values in each column of the <code>employee</code> data frame. 4. Identify the rows with missing values in the <code>employee</code> data frame. 5. Filter out the rows with missing values from the <code>employee</code> data frame.</p>
+<p>Try to perform the following tasks:</p>
+<ol type="1">
+<li>Find the missing values in the <code>employee</code> data frame.</li>
+<li>Count the total number of missing values in the <code>employee</code> data frame.</li>
+<li>Count the number of missing values in each column of the <code>employee</code> data frame.</li>
+<li>Identify the rows with missing values in the <code>employee</code> data frame.</li>
+<li>Filter out the rows with missing values from the <code>employee</code> data frame.</li>
+</ol>
 <p>Once you’ve attempted the tasks, compare your solutions with the ones provided below.</p>
 <details>
 <summary>

docs/posts/2024-12-03/index.html

@@ -380,7 +380,14 @@ <h1>Your Turn!</h1>
 <span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a>  <span class="at">Department =</span> <span class="fu">c</span>(<span class="st">"Sales"</span>, <span class="st">"Marketing"</span>, <span class="st">"IT"</span>, <span class="st">"Finance"</span>, <span class="cn">NA</span>)</span>
 <span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
-<p>Try to perform the following tasks: 1. Find the missing values in the <code>employee</code> data frame. 2. Count the total number of missing values in the <code>employee</code> data frame. 3. Count the number of missing values in each column of the <code>employee</code> data frame. 4. Identify the rows with missing values in the <code>employee</code> data frame. 5. Filter out the rows with missing values from the <code>employee</code> data frame.</p>
+<p>Try to perform the following tasks:</p>
+<ol type="1">
+<li>Find the missing values in the <code>employee</code> data frame.</li>
+<li>Count the total number of missing values in the <code>employee</code> data frame.</li>
+<li>Count the number of missing values in each column of the <code>employee</code> data frame.</li>
+<li>Identify the rows with missing values in the <code>employee</code> data frame.</li>
+<li>Filter out the rows with missing values from the <code>employee</code> data frame.</li>
+</ol>
 <p>Once you’ve attempted the tasks, compare your solutions with the ones provided below.</p>
 <details>
 <summary>