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bob777 wrote in
: Hi, I suggest you abandon the pivot table and use the sumproduct function. Then you can put the names of the players in col A, put your required dates in 2 convenient cells, and then use sumproduct to extract the total scores achieved by each player within your date ranges. In a separate table, use countif to count the NUMBER of scores within the date range, and then finally print the averages in a separate table. If you are happy to publish your e-mail address, I will send you a simple spreadsheet demonstrating this. I considered this (and may still do something like that if I can't find the proper solution with the pivot tables), but the pivot tables have several advantages that I really like -- Players will be able to double click on their score summary in the table to drill down to the data of their actual games (which show a lot more detail than the pivot table provides). Also, if I was able to implement the table the way I want, a player could decide to check their scores for games played on Mondays (by checking just those days from the drop-down box) and then comparing these scores to games played on Fridays. Most of the people who will be using the tool are familiar with Pivot Tables (reading them, not creating them), so although designing my own tool to extract the desired data is probably feasible, it's not ideal. -- Marc. |
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