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user to see not only how classes are distributed but also the size of subgroups. Plot allows to localize problems in dataset level. Function can recieve data frame or fairness object." />




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    <h1>Demographic parity</h1>
    
    <div class="hidden name"><code>demographic_parity.Rd</code></div>
    </div>

    <div class="ref-description">
    <p>Demographic parity is popular choice to visualize parity on dataset level. In perfect dataset classes should be evenly distributed across subgroups. Plot allows
user to see not only how classes are distributed but also the size of subgroups. Plot allows to localize problems in dataset level. Function can recieve data frame or fairness object.</p>
    </div>

    <pre class="usage"><span class='fu'>demographic_parity</span>(<span class='no'>x</span>, <span class='no'>...</span>)

<span class='co'># S3 method for fairness_object</span>
<span class='fu'>demographic_parity</span>(<span class='no'>x</span>, <span class='no'>...</span>)

<span class='co'># S3 method for default</span>
<span class='fu'>demographic_parity</span>(<span class='no'>x</span>, <span class='no'>...</span>, <span class='no'>outcome</span>, <span class='no'>group</span>)</pre>

    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
    <table class="ref-arguments">
    <colgroup><col class="name" /><col class="desc" /></colgroup>
    <tr>
      <th>x</th>
      <td><p>data.frame/ fairness_object</p></td>
    </tr>
    <tr>
      <th>...</th>
      <td><p>other parameters</p></td>
    </tr>
    <tr>
      <th>outcome</th>
      <td><p>target column name in data</p></td>
    </tr>
    <tr>
      <th>group</th>
      <td><p>protected group (column) in data</p></td>
    </tr>
    </table>

    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    



    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'>
<span class='fu'><a href='https://rdrr.io/r/utils/data.html'>data</a></span>(<span class='st'>"compas"</span>)
<span class='fu'>demographic_parity</span>(<span class='no'>compas</span>, <span class='kw'>outcome</span> <span class='kw'>=</span>  <span class='st'>"Two_yr_Recidivism"</span>, <span class='kw'>group</span> <span class='kw'>=</span> <span class='st'>"Ethnicity"</span>)</div><div class='img'><img src='demographic_parity-1.png' alt='' width='700' height='433' /></div><div class='input'>
</div></pre>
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