1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | Count | average weight over 60 periods | ||||||||||||
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | 15 | 15 | 15 | 15 | 15 | 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
I have an interface that shows 60 periods, when the item is selected a 1 appears on that period.
If you group by periods of 10 then I assume the tread seems very uneven or seasonally but these items are not affected by seasons.
I have shown a count at the end for the sum of selections and then a array of counts or weighting over the sixty periods by 6.
The selected period at 60 will fall off screen at the next period change by decreasing the count by 1 and then the average weight periods will display something like 14 15 15 15 15 15 Unless
a new selection appears at period one or any period there after at one
What I would like is a algorithm that predicts if the item has a continuing trend or a failed trend and possible the count for the next future 10 periods
I am not good at maths and my health is poor so this is beyond my ability so you help would be appreciated