code: def load(self, dtype_conversion=None):
          
          if dtype_conversion is None:
              dtype_conversion = {"growth": str}
          super(GrowthExperiment, self).load(dtype_conversion=dtype_conversion)
          self.data["growth"] = self.data["growth"].isin(self.TRUTHY)
docs: Load the data table and corresponding validation schema.
  
          Parameters
          ----------
          dtype_conversion : dict
              Column names as keys and corresponding type for loading the data.
              Please take a look at the `pandas documentation
              <https://pandas.pydata.org/pandas-docs/stable/io.html#specifying-column-data-types>`__
              for detailed explanations.