title: Data analysis : compare two datasets for devising useful features for population segmentation
body: <p>Say I have two pandas dataframes, one containing data for general population and one containing the same data for a target group.</p>
  
  <p>I assume this is a very common use case of population segmentation. My first idea to explore the data would be to perform some vizualization using e.g. seaborn Facetgrid or barplot &amp; scatterplot or something like that to  get a general idea of the trends and differences. 
  However, I found out that this operation is not as straightforward as I thought as seaborn is made to analyze one dataset and not compare two datasets.</p>
  
  <p>I found this SO <a href="https://stackoverflow.com/questions/51732867/seaborn-plot-two-data-sets-on-the-same-scatter-plot/51733133">answer</a> which provides a solution. But I am wondering how would people go about if if the dataframe was huge and a concat operation would not be possible ? </p>
  
  <p>Datashader does not seem to provide such features as far as I have seen ?</p>
  
  <p>Thanks for any ideas on how to go about such task</p>