Can you elaborate on the filling other features with 0 value statement? I am not sure I follow. Filling missing dates for the blank values can be done in multiple ways. You can use the filtergram(As shown in your screenshot) and select the blank date values on the filtergram, then perform a find and replace on them. You can also fill up or fill down on the date value using our fill operation found on the dropdown menu near the column name.
I have two questions :
Order date Loads Customer
11/10/2021, 5 Walmart
11/11/2021, 8 Walmart
11/13/2021, 9 Walmart
11/15/2021, 4 Walmart
1) I want to fill the missing dates like 11/12/2021, 11/14/2021 with 0 Loads value for same customer.
2 ) Also, I want to create new feature(6Weeks_Moving average), and have to calculate 42 days moving average.
I will appreciate if you can provide the sample of the both solutions.
Hi @so ,
First you'll want to use "shift" to get the rows of missing dates you will need to create.
1) Window > Shift
2) Shift Up on the Dates column by 1 row
3) Create a computed column to calculate the rows you will need to create (notice the minus 1, because if it's only 1 day apart we don't need to create any row):
4) Using another compute column convert the number into an array (note that you need to create this "if statement" to cater for the maximum number of values you have, as there is no looping in compute column statements):
5) This next compute column could be incorporated in the previous if statement, so i am actually going to EDIT the above, but wanted to leave it there for reference... SO I am going to change the above to this (slightly more complex logic):
6) This next step is trivial but important. Of course the last row is not going to have a valid value, as it has no valid "next row" to look at, so we need to remove the error value from the cell. Double click on the cell with the red warning dot, to replace it with nothing.
7) I need to split this column into separate columns now:
7)depivot this column to create the rows I want
9) (optional) change the date to date format and remove the columns you don't need, resulting in:
On to your next question, there are two things you need to do:
1) Create a constant:
2a) Window > Aggregate
2b) Use the Constant column to Group the records, and then the offset you use will be 42 (i used 3 because my dataset was smaller).
Hope that helps!