def METHOD_NAME(df: pd.DataFrame) -> pd.DataFrame:
    df = df.copy(deep=True)
    # Splitting the data into that which has the totals and that which is disaggregated by mechanism
    df_mech = df[df["dimension"] == "by mechanisms"]
    df_mech = create_mechanism_df(df_mech)
    df_tot = df[df["dimension"] == "Total"]
    df_tot = create_total_df(df_tot)
    df = pd.merge(df_mech, df_tot, how="outer", on=["country", "year"])
    # Reconciling the variable names with previous aggregated version
    df = df.rename(
        columns={
            "Both sexes_All ages_Rate per 100,000 population": "Rate per 100,000 population",
            "Both sexes_All ages_Counts": "Counts",
        }
    )
    return df