class_docstr: Renders the profiling results as an interactive Dash application, either directly in/from a
  Jupyter notebook or as a standalone web app. Requires a live kernel or server.
code: def server(self) -> Any:
      return self.app.server
  
file_path: tslumen/tslumen/report/dashboard/report.py
imports: from typing import Optional, Any
  import warnings
  import pandas
  from tslumen.scheduling import Scheduler
  from tslumen.profile.base import BundledProfiler, BundledResult
  from tslumen.report.base import Report
  from tslumen.report.dashboard.base import TslumenDash
  from tslumen.report.dashboard import sections
  from tslumen.report.dashboard._dash import html
label_desc: Use image node_id 3 for calling the Dashboard obj's underlying member method code with example usage: obj.server() and returns: self