def plot(self, data):
    """ Plots an overview in a list of dataframes

    Args:
      data: a dictionary with key the name, and value the dataframe.
    """

    import IPython

    if not isinstance(data, dict) or not all(isinstance(v, pd.DataFrame) for v in data.values()):
      raise ValueError('Expect a dictionary where the values are all dataframes.')

    gfsg = GenericFeatureStatisticsGenerator()
    data = [{'name': k, 'table': self._remove_nonascii(v)} for k, v in six.iteritems(data)]
    data_proto = gfsg.ProtoFromDataFrames(data)
    protostr = base64.b64encode(data_proto.SerializeToString()).decode("utf-8")
    html_id = 'f' + datalab.utils.commands.Html.next_id()

    HTML_TEMPLATE = """<link rel="import" href="/nbextensions/gcpdatalab/extern/facets-jupyter.html" >
        <facets-overview id="{html_id}"></facets-overview>
        <script>
          document.querySelector("#{html_id}").protoInput = "{protostr}";
        </script>"""
    html = HTML_TEMPLATE.format(html_id=html_id, protostr=protostr)
    return IPython.core.display.HTML(html)
Plots an overview in a list of dataframes

    Args:
      data: a dictionary with key the name, and value the dataframe.