text: import markdown
  import pandas
  import plotly.express as px
  from pandas_profiling import ProfileReport
  
  
  class FrameProfilingRenderer:
      """
      Generate a ProfileReport based on a pandas DataFrame
      """
  
      def __init__(self, title: str = "Pandas Profiling Report"):
          self._title = title
  
      def to_html(self, df: pandas.DataFrame) -> str:
          assert isinstance(df, pandas.DataFrame)
          profile = ProfileReport(df, title=self._title)
          return profile.to_html()
  
  
  class MarkdownRenderer:
      """Convert a markdown string to HTML and return HTML as a unicode string.
  
      This is a shortcut function for `Markdown` class to cover the most
      basic use case.  It initializes an instance of Markdown, loads the
      necessary extensions and runs the parser on the given text.
      """
  
      def to_html(self, text: str) -> str:
          return markdown.markdown(text)
  
  
  class BoxRenderer:
      """
      In a box plot, rows of `data_frame` are grouped together into a
      box-and-whisker mark to visualize their distribution.
  
      Each box spans from quartile 1 (Q1) to quartile 3 (Q3). The second
      quartile (Q2) is marked by a line inside the box. By default, the
      whiskers correspond to the box' edges +/- 1.5 times the interquartile
      range (IQR: Q3-Q1), see "points" for other options.
      """
  
      # More detail, see https://plotly.com/python/box-plots/
      def __init__(self, column_name):
          self._column_name = column_name
  
      def to_html(self, df: pandas.DataFrame) -> str:
          fig = px.box(df, y=self._column_name)
          return fig.to_html()
  