title: Comparison of Correlation results of multiple users
body: <p>How can I create correlation heatmaps of multiple users by 'Label' column. I want to compare all of them at once.</p>
  <p>Would be helpful if I could filter values where (absolute) correlation is above 90%.</p>
  <pre><code>Index(['DATE', 'Creation_Date', 'Target_CPA', 'Site', 'Status', 'Label',
         'Campaign_Name', 'Campaign_Query', 'COST', 'REVENUE', 'AdWords_Clicks',
         'AdSense_Clicks', 'AdSense_IMPR', 'Adwords_IMPR', 'Conv', 'AdWords_CPC',
         'AdSense_CPC'],
        dtype='object')
  </code></pre>
  <p>Currently, I'm using this code by creating separate csv for each Label row value-</p>
  <pre><code>df.corr().unstack().sort_values(ascending=False).drop_duplicates()
   
  Result:
  Target_CPA      Target_CPA        1.000000
  AdWords_Clicks  AdSense_IMPR      0.996090
  Conv            AdSense_Clicks    0.980790
  COST            AdWords_Clicks    0.963979
  AdSense_IMPR    COST              0.959211
  </code></pre>