def METHOD_NAME():
    with st.expander("Correlation coefficients"):
        if not isinstance(st.session_state.df_scores, pd.DataFrame):
            st.warning(MSG_NO_DATA)
            return
        df = st.session_state.df_scores
        st.markdown(
            "The table bellow shows the pearson correlation"
            " coefficient between the criteria scores."
        )
        df_correl = df[CRITERIA].corr()
        fig = plt.figure()
        sns.heatmap(
            df_correl,
            cmap="Blues",
            linewidths=0.5,
            annot=True,
            fmt=".2g",
            annot_kws={"size": 7},
        )
        st.pyplot(fig)