nality (width of the resulting data frame), we use <code>thresh_infreq = 0.01</code> and <code>name_infreq = "OTHER"</code> to group excess categories.</p>
<div class="sourceCode" id="cb3"><html><body><pre class="r"><span class="no">customer_churn_binarized_tbl</span> <span class="kw">&lt;-</span> <span class="no">customer_churn_tbl</span> <span class="kw">%&gt;%</span>
  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(-<span class="no">customerID</span>) <span