filter out empty format and category to avoid "nan" in output

    args = parser.parse_args()

    df = pd.read_csv(args.csv_report)

    # filter out missing format/category values

    mask_format_missing = df["format"].isna()

    mask_category_missing = df["category"].isna()

    df = df[~mask_format_missing | ~mask_category_missing]

    bins_for_measures = BINS_FOR_MEASURES

    if args.no_bins:

        bins_for_measures = {}