@johnmackintosh Column header rows: Try to find a pattern which you can generalise to find the number of rows to extraxt as headers. Blind guess: the number of columns in the data set should be the same as the number of column header rows. Once you know these numbers you can use them when skipping the first N rows during import. Since these might be different for each data set, I'd use mapply instead of lapply.
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