Amplía tu conjunto de herramientas para explorar valores faltantes

Solucion planteada por el profe:

def missing_mosaic_plot(
        self,
        target_var: str,
        x_categorical_var: str,
        y_categorical_var: str,
        ax = None
    ):
        return (
            self._obj
            .assign(
                **{target_var: lambda df: df.weight.isna().replace([True, False], ["NA", "!NA"])}
            )
            .groupby(
                [x_categorical_var, y_categorical_var, target_var],
                dropna=False,
                as_index=True,
            )
            .size()
            .pipe(
                lambda df: mosaic(
                    data=df,
                    properties=lambda key: {"color": "r" if "NA" in key else "gray"},
                    ax=ax,
                    horizontal=True,
                    axes_label=True,
                    title="",
                    labelizer=lambda key: "",
                )
            )
        )