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@@ -216,7 +216,7 @@ <h2 class="anchored" data-anchor-id="scenario-auditing-a-partner-dataset">Scenar
 <section id="step-1-efficiently-loading-a-large-csv" class="level2">
 <h2 class="anchored" data-anchor-id="step-1-efficiently-loading-a-large-csv">Step 1: Efficiently Loading a Large CSV</h2>
 <p>Rather than using <code>pandas.read_csv()</code> directly, <strong>csvplus</strong> provides <code>load_optimized_csv()</code> to reduce memory usage automatically.</p>
-<div id="73856fcf" class="cell" data-execution_count="1">
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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> csvplus.load_optimized_csv <span class="im">import</span> load_optimized_csv</span>
 <span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co"># Load a large csv dataset</span></span>
@@ -243,7 +243,7 @@ <h3 class="anchored" data-anchor-id="what-this-function-does">What this function
 <section id="step-2-resolving-inconsistent-string-values" class="level2">
 <h2 class="anchored" data-anchor-id="step-2-resolving-inconsistent-string-values">Step 2: Resolving Inconsistent String Values</h2>
 <p>Text fields such as company names are often inconsistent due to typos or formatting differences. The <code>resolve_string_value()</code> function uses fuzzy matching to standardize values.</p>
-<div id="60265d52" class="cell" data-execution_count="2">
+<div id="0eb8d769" class="cell" data-execution_count="2">
 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
 <span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> csvplus.data_correction <span class="im">import</span> resolve_string_value</span>
 <span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a></span>
@@ -278,7 +278,7 @@ <h2 class="anchored" data-anchor-id="step-2-resolving-inconsistent-string-values
 <section id="step-3-generating-a-data-summary-report" class="level2">
 <h2 class="anchored" data-anchor-id="step-3-generating-a-data-summary-report">Step 3: Generating a Data Summary Report</h2>
 <p>Before performing deeper analysis, it is often helpful to understand the structure and quality of the dataset.</p>
-<div id="bfdd8fdc" class="cell" data-execution_count="3">
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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
 <span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> csvplus.generate_report <span class="im">import</span> summary_report</span>
 <span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a></span>
@@ -338,7 +338,7 @@ <h2 class="anchored" data-anchor-id="step-3-generating-a-data-summary-report">St
 <li>Confidence intervals</li>
 </ul>
 <p>To inspect categorical columns:</p>
-<div id="94253df7" class="cell" data-execution_count="4">
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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>categorical_stats.loc[<span class="st">'city'</span>, <span class="st">'n_unique'</span>]</span>
 <span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>categorical_stats.loc[<span class="st">'city'</span>, <span class="st">'n_unique'</span>]</span>
 <span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>categorical_stats.loc[<span class="st">'city'</span>, <span class="st">'top_values'</span>]</span>
@@ -352,7 +352,7 @@ <h2 class="anchored" data-anchor-id="step-3-generating-a-data-summary-report">St
 <section id="step-4-comparing-dataset-versions" class="level2">
 <h2 class="anchored" data-anchor-id="step-4-comparing-dataset-versions">Step 4: Comparing Dataset Versions</h2>
 <p>A week later, you receive an updated CSV file of the original CSV with potential schema and data changes. At this point, you want to understand <strong>what changed</strong> compared to the original dataset. After loading the dataset, the <code>data_version_diff()</code> function computes a structured comparison between the two DataFrames.</p>
-<div id="3577fc11" class="cell" data-execution_count="5">
+<div id="297e6e10" class="cell" data-execution_count="5">
 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
 <span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> csvplus.data_version_diff <span class="im">import</span> data_version_diff</span>
 <span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a></span>
@@ -408,19 +408,19 @@ <h2 class="anchored" data-anchor-id="step-4-comparing-dataset-versions">Step 4:
 <section id="step-5-inspecting-dataframe-changes-programmatically" class="level2">
 <h2 class="anchored" data-anchor-id="step-5-inspecting-dataframe-changes-programmatically">Step 5: Inspecting Dataframe Changes Programmatically</h2>
 <p>You can explore specific components of the diff object directly:</p>
-<div id="cfed0b8f" class="cell" data-execution_count="6">
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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>diff[<span class="st">"columns_added"</span>]</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
 <div class="cell-output cell-output-display" data-execution_count="5">
 <pre><code>['amount', 'category']</code></pre>
 </div>
 </div>
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 <div class="code-copy-outer-scaffold"><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>diff[<span class="st">"row_count_change"</span>]</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
 <div class="cell-output cell-output-display" data-execution_count="6">
 <pre><code>{'old_row_count': 3, 'new_row_count': 4, 'row_difference': 1}</code></pre>
 </div>
 </div>
-<div id="c1dee536" class="cell" data-execution_count="8">
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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb13"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a>diff[<span class="st">"missing_value_changes"</span>]</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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@@ -457,7 +457,7 @@ <h2 class="anchored" data-anchor-id="step-5-inspecting-dataframe-changes-program
 </div>
 </div>
 </div>
-<div id="d8847202" class="cell" data-execution_count="9">
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 <div class="code-copy-outer-scaffold"><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>diff[<span class="st">"numeric_summary_changes"</span>]</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
 <div class="cell-output cell-output-display" data-execution_count="8">
 <div>
@@ -518,7 +518,7 @@ <h2 class="anchored" data-anchor-id="step-5-inspecting-dataframe-changes-program
 <section id="step-6-displaying-a-human-readable-report" class="level2">
 <h2 class="anchored" data-anchor-id="step-6-displaying-a-human-readable-report">Step 6: Displaying a Human-Readable Report</h2>
 <p>For interactive use, <strong>csvplus</strong> provides a clean, console-friendly summary of changes in your dataframes from step 5.</p>
-<div id="7721ba0a" class="cell" data-execution_count="10">
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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb15"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> csvplus.data_version_diff <span class="im">import</span> display_data_version_diff</span>
 <span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a>display_data_version_diff(diff)</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>

sitemap.xml

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     <loc>https://UBC-MDS.github.io/DSCI_524_group37_csvplus/reference/data_version_diff.html</loc>
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     <loc>https://UBC-MDS.github.io/DSCI_524_group37_csvplus/index.html</loc>
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     <loc>https://UBC-MDS.github.io/DSCI_524_group37_csvplus/CHANGELOG.html</loc>
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