code: def component_callbacks(self, app):
      @app.callback(
          [
              Output("reg-vs-col-graph-" + self.name, "figure"),
              Output(
                  "reg-vs-col-show-points-div-" + self.name, "style"
              ),
              Output(
                  "reg-vs-col-n-categories-div-" + self.name, "style"
              ),
              Output(
                  "reg-vs-col-categories-sort-div-" + self.name, "style"
              ),
          ],
          [
              Input("reg-vs-col-col-" + self.name, "value"),
              Input("reg-vs-col-display-type-" + self.name, "value"),
              Input("reg-vs-col-show-points-" + self.name, "value"),
              Input("reg-vs-col-winsor-" + self.name, "value"),
              Input("reg-vs-col-n-categories-" + self.name, "value"),
              Input("reg-vs-col-categories-sort-" + self.name, "value"),
          ],
      )
      def update_residuals_graph(
          col, display, points, winsor, topx, sort
      ):
          if (
              col in self.explainer.onehot_cols
              or col in self.explainer.categorical_cols
          ):
              style = {}
          else:
              style = dict(display="none")
          if display == "observed":
              return (
                  self.explainer.plot_y_vs_feature(
                      col,
                      points=bool(points),
                      winsor=winsor,
                      dropna=True,
                      topx=topx,
                      sort=sort,
                      round=self.round,
                      plot_sample=self.plot_sample,
                  ),
                  style,
                  style,
                  style,
              )
          elif display == "predicted":
              return (
                  self.explainer.plot_preds_vs_feature(
                      col,
                      points=bool(points),
                      winsor=winsor,
                      dropna=True,
                      topx=topx,
                      sort=sort,
                      round=self.round,
                      plot_sample=self.plot_sample,
                  ),
                  style,
                  style,
                  style,
              )
          else:
              return (
                  self.explainer.plot_residuals_vs_feature(
                      col,
                      residuals=display,
                      points=bool(points),
                      winsor=winsor,
                      dropna=True,
                      topx=topx,
                      sort=sort,
                      round=self.round,
                      plot_sample=self.plot_sample,
                  ),
                  style,
                  style,
                  style,
              )
  
imports: import numpy
  import pandas
  import dash
  from dash import html, dcc, Input, Output, State
  from dash.exceptions import PreventUpdate
  import dash_bootstrap_components
  from ..dashboard_methods import *
  from ..None import to_html
label_desc: Use image node_id 4 for calling the RegressionVsColComponent obj's underlying member method code with example usage: obj.component_callbacks(app) and returns: self,  style,  style,  style, self,  style,  style,  style, self,  style,  style,  style