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I am having a date set as shown in the below table.
Zone | Date | Sales |
A | 01-Mar-22 | 7 |
B | 01-Mar-22 | 7 |
C | 01-Mar-22 | 15 |
D | 01-Mar-22 | 3 |
E | 01-Mar-22 | 43 |
A | 02-Mar-22 | 43 |
B | 02-Mar-22 | 35 |
C | 02-Mar-22 | 13 |
D | 02-Mar-22 | 3 |
E | 02-Mar-22 | 8 |
A | 03-Mar-22 | 8 |
B | 03-Mar-22 | 35 |
C | 03-Mar-22 | 20 |
D | 03-Mar-22 | 2 |
E | 03-Mar-22 | 26 |
A | 04-Mar-22 | 18 |
B | 04-Mar-22 | 34 |
C | 04-Mar-22 | 44 |
D | 04-Mar-22 | 14 |
E | 04-Mar-22 | 31 |
A | 05-Mar-22 | 23 |
B | 05-Mar-22 | 17 |
C | 05-Mar-22 | 31 |
D | 05-Mar-22 | 23 |
E | 05-Mar-22 | 17 |
Total sales for 5 days is 520 (Sum of Sales column)
The number of days is 5
Average sales per day 104 (520 divided by 5)
Now I want to have a calculated column to show future date sales based on the data set's average.
Date | Actual Avg sales/day | Sales forecast |
01-Mar-22 | 104 | |
02-Mar-22 | 104 | |
03-Mar-22 | 104 | |
04-Mar-22 | 104 | |
05-Mar-22 | 104 | |
06-Mar-22 | 104 |
Not enough data for a proper forecast. Even if you would use a sliding window it would flatten out quickly. You also don't seem to consider weekends/holidays/seasonality.
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