How to use the kmapper.visuals.graph_data_distribution function in kmapper

"A mapper graph should have more than 0 nodes. This might be because your clustering algorithm might be too sensitive and be classifying all points as noise."
        )

    color_function = init_color_function(simplicial_complex, color_function)

    json_graph = scomplex_to_graph(
        simplicial_complex,
        color_function,
        X,
        X_names,
        lens,
        lens_names,
        custom_tooltips,
        colorscale=colorscale,
    )
    colorf_distribution = graph_data_distribution(
        simplicial_complex, color_function, colorscale
    )
    mapper_summary = format_meta(
        simplicial_complex,
        color_function_name=color_function_name,
        custom_meta=custom_meta,
    )

    return json_graph, mapper_summary, colorf_distribution

mapper_data = format_mapper_data(
            graph,
            color_function,
            X,
            X_names,
            lens,
            lens_names,
            custom_tooltips,
            env,
            nbins,
        )

        colorscale = colorscale_default

        histogram = graph_data_distribution(graph, color_function, colorscale)

        mapper_summary = format_meta(graph, custom_meta)

        # Find the absolute module path and the static files
        js_path = os.path.join(os.path.dirname(__file__), "static", "kmapper.js")
        with open(js_path, "r") as f:
            js_text = f.read()

        css_path = os.path.join(os.path.dirname(__file__), "static", "style.css")
        with open(css_path, "r") as f:
            css_text = f.read()

        # Render the Jinja template, filling fields as appropriate
        template = env.get_template("base.html").render(
            title=title,
            mapper_summary=mapper_summary,