code: def correlation_stat(self, df, hypo_column):
      # N/A values should not be accounted for in correlations
      subset = df[[self.reference_column, hypo_column]].dropna()
      # It's very important that the human label is first for Somers' D!
      return somersd(subset[self.reference_column], subset[hypo_column])
  
imports: import pandas
  from scipy.stats import somersd
label_desc: Use image node_id 2 for calling the Analyzer obj's underlying member method code with example usage: obj.correlation_stat(df, hypo_column) and returns: somersd