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I reference the Prices table, and in the next step I filter out days in which the price is empty. I suggest that you start a new query from the Prices table and follow my instructions. I already imported and appended the data for both metals into a single table in Excel and we’ll start the process from this table. Not all days are represented, so in case of a gap I calculate the number of days in the gap, and I divide the growth % by the number of days. I downloaded from Quandl 50 years of daily prices of gold and silver, and my goal is to calculate the daily changes in terms of dollars and percentage from day to day. Each row represents data for a day, so the difference between rows is the daily change or in some cases, several days change. I want to calculate predictably the differences between each row and the row before. I want to analyze the daily prices of certain commodities and be able to show the patterns of daily changes side by side. By using Power Query (aka Get & Transform), I can calculate the difference between one row and the previous row in a robust and refreshable way, albeit not as easy as a simple Excel formula. You need to replace the formulas by values, and at this moment it cannot be refreshed and recalculated automatically. Sorting or deleting rows will break the formula or return bogus results. You can create a calculated column in a table and reference values in other columns in the same row by name and cells in different rows by using regular referencing. It is straightforward to compare values between each row in an Excel table and the next row.