docs: def balanced_binning_reference(y, ax=None, target='Frequency', bins=4, **kwargs):
      
      """
      BalancedBinningReference generates a histogram with vertical lines
      showing the recommended value point to bin your data so they can be evenly
      distributed in each bin.
  
      Parameters
      ----------
      y : an array of one dimension or a pandas Series
      
      ax : matplotlib Axes, default: None
          This is inherited from FeatureVisualizer and is defined within
          ``BalancedBinningReference``.
  
      target : string, default: "Frequency"
          The name of the ``y`` variable
  
      bins : number of bins to generate the histogram, default: 4
  
      kwargs : dict
          Keyword arguments that are passed to the base class and may influence
          the visualization as defined in other Visualizers.
  
      """
  
      # Initialize the visualizer
      visualizer = BalancedBinningReference(ax=ax, bins=bins, target=target, **kwargs)
      
      # Fit and poof the visualizer
      visualizer.fit(y)
      visualizer.poof()