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My dataset captures the following:
Country | Version | Month | Classification | Line | Data |
China | Actual | Jan | Total | Direct labour headcount | |
China | Actual | Feb | Total | Direct labour headcount | |
China | Budget | separate lines for all 12 months | Total | Direct labour headcount | |
China | Prior Year | separate lines for all 12 months | Total | Direct labour headcount | |
China | Actual | Jan | Internal | Direct labour headcount | |
China | Budget | separate lines for all 12 months | Internal | Direct labour headcount | |
China | Prior Year | separate lines for all 12 months | Internal | Direct labour headcount | |
China | Actual | etc | Total | S&M headcount | |
China | Budget | etc | Total | S&M headcount | |
China | Prior Year | etc | Total | S&M headcount | |
etc |
I tried unsuccessfully to create a DAX formula to calculate the average headcount filtered according to country, month, classification and headcount group:
It looks like you are trying to Average a subset of data and so you should use AVERAGEX formula.
I did, but still get syntax error.
Please share few rows of actual dataset ?
As requested:
OC | Version | Period | Group | Line | Data |
China | Prior Year | 1 | Total | Total direct manufacturing personnel | 76 |
China | Prior Year | 2 | Total | Total direct manufacturing personnel | 73 |
China | Prior Year | 3 | Total | Total direct manufacturing personnel | 70 |
China | Prior Year | 4 | Total | Total direct manufacturing personnel | 67 |
China | Prior Year | 5 | Total | Total direct manufacturing personnel | 66 |
China | Prior Year | 6 | Total | Total direct manufacturing personnel | 66 |
China | Prior Year | 7 | Total | Total direct manufacturing personnel | 67 |
China | Prior Year | 8 | Total | Total direct manufacturing personnel | 69 |
China | Prior Year | 9 | Total | Total direct manufacturing personnel | 72 |
China | Prior Year | 10 | Total | Total direct manufacturing personnel | 80 |
China | Prior Year | 11 | Total | Total direct manufacturing personnel | 82 |
China | Prior Year | 12 | Total | Total direct manufacturing personnel | 81 |
China | Budget | 1 | Total | Total direct manufacturing personnel | 87 |
China | Budget | 2 | Total | Total direct manufacturing personnel | 81 |
China | Budget | 3 | Total | Total direct manufacturing personnel | 80 |
China | Budget | 4 | Total | Total direct manufacturing personnel | 77 |
China | Budget | 5 | Total | Total direct manufacturing personnel | 75 |
China | Budget | 6 | Total | Total direct manufacturing personnel | 74 |
China | Budget | 7 | Total | Total direct manufacturing personnel | 72 |
China | Budget | 8 | Total | Total direct manufacturing personnel | 75 |
China | Budget | 9 | Total | Total direct manufacturing personnel | 87 |
China | Budget | 10 | Total | Total direct manufacturing personnel | 89 |
China | Budget | 11 | Total | Total direct manufacturing personnel | 91 |
China | Budget | 12 | Total | Total direct manufacturing personnel | 94 |
China | Actual | 1 | Total | Total direct manufacturing personnel | 76 |
China | Actual | 2 | Total | Total direct manufacturing personnel | 68 |
China | Actual | 3 | Total | Total direct manufacturing personnel | 67 |
China | Actual | 4 | Total | Total direct manufacturing personnel | 66 |
China | Actual | 5 | Total | Total direct manufacturing personnel | 63 |
China | Actual | 6 | Total | Total direct manufacturing personnel | 63 |
China | Prior Year | 1 | internal | Total direct manufacturing personnel | 58 |
China | Prior Year | 2 | internal | Total direct manufacturing personnel | 58 |
China | Prior Year | 3 | internal | Total direct manufacturing personnel | 57 |
China | Prior Year | 4 | internal | Total direct manufacturing personnel | 57 |
China | Prior Year | 5 | internal | Total direct manufacturing personnel | 56 |
China | Prior Year | 6 | internal | Total direct manufacturing personnel | 56 |
China | Prior Year | 7 | internal | Total direct manufacturing personnel | 56 |
China | Prior Year | 8 | internal | Total direct manufacturing personnel | 55 |
China | Prior Year | 9 | internal | Total direct manufacturing personnel | 55 |
China | Prior Year | 10 | internal | Total direct manufacturing personnel | 55 |
China | Prior Year | 11 | internal | Total direct manufacturing personnel | 55 |
China | Prior Year | 12 | internal | Total direct manufacturing personnel | 55 |
China | Budget | 1 | internal | Total direct manufacturing personnel | 66 |
China | Budget | 2 | internal | Total direct manufacturing personnel | 66 |
China | Budget | 3 | internal | Total direct manufacturing personnel | 66 |
China | Budget | 4 | internal | Total direct manufacturing personnel | 64 |
China | Budget | 5 | internal | Total direct manufacturing personnel | 65 |
China | Budget | 6 | internal | Total direct manufacturing personnel | 64 |
China | Budget | 7 | internal | Total direct manufacturing personnel | 65 |
China | Budget | 8 | internal | Total direct manufacturing personnel | 65 |
China | Budget | 9 | internal | Total direct manufacturing personnel | 66 |
China | Budget | 10 | internal | Total direct manufacturing personnel | 66 |
China | Budget | 11 | internal | Total direct manufacturing personnel | 69 |
China | Budget | 12 | internal | Total direct manufacturing personnel | 69 |
China | Actual | 1 | internal | Total direct manufacturing personnel | 57 |
China | Actual | 2 | internal | Total direct manufacturing personnel | 56 |
China | Actual | 3 | internal | Total direct manufacturing personnel | 56 |
China | Actual | 4 | internal | Total direct manufacturing personnel | 56 |
China | Actual | 5 | internal | Total direct manufacturing personnel | 55 |
China | Actual | 6 | internal | Total direct manufacturing personnel | 55 |
Hi,
There is no Year and/or Date column. How can one use any Date Intelligence functions on this dataset.
The "Period" column refers to the month in abbrev. eg. 1 = Jan.
Hi,
Yes, i see that but there is still no Year column there so i cannot generate a Date column. It will be ideal if you have a Date column but if you do not then i can still live with 2 seperate columns - one for Year and another for Month. From these 2 columns, i can generate the Date column.
Hi
Are you looking for Average as below.
Just to make sure if my understanding of your problem is right.
Yes, the formula should also calculate the average according to the selected month(2). eg. average for Jan-Mar for actual, budget and prior year.
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