Hi, I have a number of reasonably large .csv files. Power BI is great at analysing them but only if I remove a number of rows of data (using Excel) from the top of each file before loading it in to Power BI. The reason I have to remove them is that these rows are effectively header info but they are in a number of different formats along each row and when Power BI attempts to parse the data it uses the first row to determine what it expects the rest of the data to be. This results in the actual data being parsed at the "wrong" comma and ending up useless, unless as I say I "pre-process" the data in Excel.
Is there any way (in Power BI) to strip out these header rows and only then parse the rows which compromise the rest of the data?
Thanks,
Tony
