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Hi
I have a sample dataset like this:
Date | Region | Product | Sales |
1/01/2014 | Region A | Product A | 100 |
20/02/2014 | Region A | Product B | 150 |
11/04/2014 | Region A | Product A | 102 |
31/05/2014 | Region A | Product B | 153 |
20/07/2014 | Region B | Product A | 105 |
8/09/2014 | Region B | Product B | 150 |
28/10/2014 | Region B | Product A | 115 |
17/12/2014 | Region B | Product B | 173 |
5/02/2015 | Region A | Product A | 117 |
27/03/2015 | Region A | Product B | 176 |
16/05/2015 | Region A | Product A | 121 |
5/07/2015 | Region B | Product B | 173 |
24/08/2015 | Region B | Product A | 132 |
13/10/2015 | Region A | Product B | 199 |
2/12/2015 | Region A | Product A | 135 |
21/01/2016 | Region A | Product B | 202 |
11/03/2016 | Region B | Product A | 139 |
30/04/2016 | Region B | Product B | 199 |
19/06/2016 | Region A | Product A | 152 |
In a table or graph, I like to calculate Year-on-Year growth like this:
Month | Region | Product | This year Sales | Last year Sales | Growth |
Is there a way to calculate 'Last year Sales' from the dataset, e.g. using set analysis?
I googled a lot but could not find an answer. If anyone can help me, it would be much appreciated.
Kind regards
Thomas
Hi
I have attached a sample based on your Data..