def METHOD_NAME(self):
    # The values we want to plot (add to the total number of reads)
    cats = OrderedDict()
    cats["clusters"] = {"name": "Unique reads"}
    cats["duplicates"] = {"name": "Duplicate reads"}
    cats["filtered"] = {"name": "Filtered reads"}
    # Bargraph configuration
    config = {
        "id": "humid-bargraph",
        "title": "HUMID: Deduplication results",
        "ylab": "Number of reads",
        "hide_zero_cats": False,
    }
    self.add_section(
        name="Duplication Summary",
        anchor="humid-section",
        description="""
            Duplication statistics per sample. Every read in the
            input data has been assigned to one of the three categories
            shown here.
            """,
        helptext="""
            - **Unique reads** are the reads that are left over after deduplication.
            - **Duplicate reads** are the reads that were determined to be duplicates of the **Unique reads**.
            - **Filtered reads** were reads that could not be analysed, due to N nucleotides, or because the UMI or sequences were too short to use.
            """,
        plot=bargraph.plot(self.humid, cats, config),
    )