code: def valid_data_dict(data_dict):
      if data_dict is None:
          return True
  
      if not isinstance(data_dict, dict):
          return False
  
      return True
  
imports: from interpret.data import ClassHistogram, Marginal
  from interpret.perf import ROC, PR, RegressionPerf
  from interpret.blackbox import LimeTabular
  from interpret.blackbox import ShapKernel
  from interpret.blackbox import MorrisSensitivity
  from interpret.blackbox import PartialDependence
  from interpret.greybox import TreeInterpreter
  from interpret.greybox import ShapTree
  from interpret.glassbox import LogisticRegression, LinearRegression
  from interpret.glassbox import ClassificationTree, RegressionTree
  from interpret.glassbox import DecisionListClassifier
  from interpret.glassbox import ExplainableBoostingClassifier, ExplainableBoostingRegressor
  import pandas
  import numpy
  from sklearn.model_selection import train_test_split
  import dash.development.base_component
  from pandas.core.generic import NDFrame
  from plotly import graph_objs
  from sklearn.base import is_classifier
  import sys
label_desc: Use image node_id 11 for calling a global function with example usage: valid_data_dict(data_dict) and returns: True, True, False