code: def render_plot(
      data: Dict[str, List[Union[str, float, List[float]]]],
      config: Dict[str, Union[Dict[str, Dict[str, str]], str]],
  ) -> None:
      """Renders the plot view in Colab.
  
      Args:
        data: A dictionary containing plot data.
        config: A dictionary of the configuration.
      """
      util.render_tfma_component(
          "tfma-nb-plot",
          data,
          config,
          trusted_html_for_vulcanized_tfma_js=get_trusted_html_for_vulcanized_js(),
      )
  
imports: from typing import Any, Callable, Dict, List, Optional, Union
  from tensorflow_model_analysis.notebook.colab import util
label_desc: Use image node_id 4 for calling a global function with example usage: render_plot(data, config) without return types