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content/labs/Lab_3/IM939_Lab_3_1_Data_Processing_and_Summarization.html

@@ -1039,8 +1039,7 @@ <h3 data-number="11.2.1" class="anchored" data-anchor-id="data"><span class="hea
 <div class="sourceCode cell-code" id="cb11"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Getting the Data</span></span>
 <span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a>df_tuber <span class="op">=</span> pd.read_csv(<span class="st">'data/raw/TB_burden_countries_2014-09-29.csv'</span>)</span>
 <span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a>df_tuber.head()</span>
-<span id="cb11-5"><a href="#cb11-5" aria-hidden="true" tabindex="-1"></a></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a>df_tuber.head()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-display" data-execution_count="11">
 <div>
 
@@ -1256,8 +1255,8 @@ <h3 data-number="11.2.1" class="anchored" data-anchor-id="data"><span class="hea
 <div class="sourceCode cell-code" id="cb14"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Filling missing numeric values ONLY (categorical values will be untouched)</span></span>
 <span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>df_tuber <span class="op">=</span> df_tuber.fillna(value<span class="op">=</span>df_tuber.mean(numeric_only <span class="op">=</span> <span class="va">True</span>))</span>
 <span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Inspecting missing values in dataset</span></span>
-<span id="cb14-5"><a href="#cb14-5" aria-hidden="true" tabindex="-1"></a>pd.isnull(df_tuber).<span class="bu">sum</span>()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Count missing values</span></span>
+<span id="cb14-5"><a href="#cb14-5" aria-hidden="true" tabindex="-1"></a>df_tuber.isna().<span class="bu">sum</span>()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-display" data-execution_count="13">
 <pre><code>country                      0
 iso2                        23
@@ -1461,27 +1460,27 @@ <h2 data-number="11.3" class="anchored" data-anchor-id="distributions-sampling">
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@@ -1577,25 +1576,25 @@ <h2 data-number="11.3" class="anchored" data-anchor-id="distributions-sampling">
 <td data-quarto-table-cell-role="th">5</td>
 <td>-1.833333</td>
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