Hi Alteryx Users,
I am sure there is a way, but I not able to find it.
As table shows below. I have columns with Dates and Values to start off with.
I have missing data in values. and I want to use the before and after data to join the dots.
For example
I am missing data for three days. 5-6-7/10/2019, so I take the value from 08/10/2019 (90) and 04/10/2019 (57), do a subtraction and divide by 4 as I have three days with missing values, the result gives in the increment level of (8.25), then I use it to add onto the value of 04/10/2019 (57) to predict the value for 05/10/2019 (62.25) and so on.
I did the same for 11-12-13-14 /10/2019 but only to divide by 5 as I have 4 days of values missing.
I tried the Imputation tool but doesn't seems to give me what I need. I assumed there is something clear use of predictive tool to get what I want. Any help would be appreciated.
Dates | values | Predicted Values | Increment Levels | Calculations of increment level | |
01/10/2019 | 25 | ||||
02/10/2019 | 53 | ||||
03/10/2019 | 42 | ||||
04/10/2019 | 57 | ||||
05/10/2019 | 65.25 | 8.25 | (90-57)/4 | ||
06/10/2019 | 73.5 | ||||
07/10/2019 | 81.75 | ||||
08/10/2019 | 90 | ||||
09/10/2019 | 100 | ||||
10/10/2019 | 108 | ||||
11/10/2019 | 116.6 | 8.6 | (151-108)/5 | ||
12/10/2019 | 125.2 | ||||
13/10/2019 | 133.8 | ||||
14/10/2019 | 142.4 | ||||
15/10/2019 | 151 | ||||
16/10/2019 | 159 | ||||
17/10/2019 | 167 | ||||
18/10/2019 | 176 |
Solved! Go to Solution.
Hi @Felix776 ,
I think, you only have rows for days with data ... created a sample workflow, that creates missing dates and calculates the average, hope, it is helpful.
Best,
Roland