text: """
      This module implements the plot_diff function.
  """
  
  from typing import Optional, Union, List, Dict, Any
  import dask.dataframe as dd
  import pandas as pd
  
  from ..configs import Config
  from ..container import Container
  from ..dtypes import DTypeDef
  from ...progress_bar import ProgressBar
  from .compute import compute_diff
  from .render import render_diff
  
  __all__ = ["plot_diff", "compute_diff", "render_diff"]
  
  
  def plot_diff(
      df: Union[List[Union[pd.DataFrame, dd.DataFrame]], Union[pd.DataFrame, dd.DataFrame]],
      x: Optional[str] = None,
      config: Optional[Dict[str, Any]] = None,
      display: Optional[List[str]] = None,
      dtype: Optional[DTypeDef] = None,
      progress: bool = False,
  ) -> Container:
      """
      This function is to compute and visualize the differences between 2 or more(up to 5) datasets.
  
      Parameters
      ----------
      df
          The DataFrame(s) to be compared.
      x
          The column to be emphasized in the comparision.
      config
          A dictionary for configuring the visualizations
          E.g. config={"hist.bins": 20}
      display
          A list containing the names of the visualizations to display
          E.g. display=["Histogram"]
      dtype: str or DType or dict of str or dict of DType, default None
          Specify Data Types for designated column or all columns.
          E.g.  dtype = {"a": Continuous, "b": "Nominal"} or
          dtype = {"a": Continuous(), "b": "nominal"}
          or dtype = Continuous() or dtype = "Continuous" or dtype = Continuous().
      progress
          Whether to show the progress bar.
  
      Examples
      --------
      >>> from dataprep.datasets import load_dataset
      >>> from dataprep.eda import plot_diff
      >>> df_train = load_dataset('house_prices_train')
      >>> df_test = load_dataset('house_prices_test')
      >>> plot_diff([df_train, df_test])
      """
      # pylint: disable=too-many-arguments
      cfg = Config.from_dict(display, config)
  
      with ProgressBar(minimum=1, disable=not progress):
          intermediate = compute_diff(df, x=x, cfg=cfg, dtype=dtype)
      to_render = render_diff(intermediate, cfg=cfg)
      return Container(to_render, intermediate.visual_type, cfg)
  