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The task is to show two measures for Projects on a line graph, one being the actual hours worked each week, the other being a forecast of how many hours might be worked to fit the budget. I have a measure set that calulates this approximation.
Photo's will be the easiest to explain, I have a sample set of the model here. There are two fact tables, one being Project_Forecast and
The Date_Table is so the values can share a common X-axis.
Here are some values for selected job 9555.
As you can see, the leftmost table for actual hours and the middle table for forecasted is correct, though when I add the Date column to the forecasted hours it cuts the dates to the actuals. Week_Seq# refers to what week of the project it is.
How can I join these two metrics together without truncating/shorting the forecasted hours?
Here is my measure for the Approximate_Hours.
Solved! Go to Solution.
Hi @CJBoelt ,
he calculaction seems to swith per one row:
6+11 = 17. Perhaps only a random event? First i would try to find out why 7/8/2022 is missing. Is this Date in the Date_table? Are you able to share the PBI without sensitve data via ondrive or dropbox?
Proud to be a Super User!
Hi @CJBoelt ,
he calculaction seems to swith per one row:
6+11 = 17. Perhaps only a random event? First i would try to find out why 7/8/2022 is missing. Is this Date in the Date_table? Are you able to share the PBI without sensitve data via ondrive or dropbox?
Proud to be a Super User!
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