def load(self, dtype_conversion=None):
        """
        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.

        """
        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)
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.