code: def plot_categorical_stats(cls, stats, feature_column):
      plt.barh(
          width=list(stats.frequency_count.values()),
          y=list(stats.frequency_count.keys()),
      )
      plt.ylabel(feature_column)
      plt.show()
  
file_path: contextual-ai/xai/plots/data_stats_notebook_plots.py
imports: from collections import Counter
  import matplotlib.pyplot
  import pandas
  import numpy
  import seaborn
  from IPython.display import display, Markdown
label_desc: Use image node_id 1 for calling the NotebookPlots obj's underlying member method code with example usage: obj.plot_categorical_stats(cls, stats, feature_column) without return types