When you write a measure in DAX, its logic is recalculated in every cell of a visualization. Sometimes, the result at the total level does not correspond to the sum of the rows visible in the visual, because the logic in DAX aggregates the numbers using a different logic. For example, consider a simple calculation that divides the sales amount by the number of working days.
Figure 5: Reset the pivot table to view all the data again. Now that you're grounded on filtering within a pivot table, let's now filter the grand totals, as shown in Figure 6: Assuming you wish to filter the Grand Total column, click the arrow in the Row Labels field. Choose Value Filters. Select an option from the submenu, such as Greater. Step 4 – Create a calculated field to total all of the sales in the view Step 5 – Drop the Total Sales measure onto the data area. You will see the Total Sales field appear in the Measure Values shelf. Step 6 – Right-click on the Total Sales measure in the Measure Values shelf and choose Edit Table Calculation. Also, start scheduling a 'rest' week every month where you decrease your training by 30-50%. 'I did the 4 month aggressive program. However, at the end of June I was convinced by two friends that I could try a triathlon - so due to my training for the tri I actually did the 3.1 miles on July 19th. End of Month Vessel Count: 89 89. Retention 4 8 9 2 3 6 32 RRF 18 4 7 1 16 46 Grand Total 5 26 18 4 9 1 19 7 89 Disposal Summary Contract Status Atlantic JRRF.
We work off of these three pre-existing measures:
These measures produce the correct figures month by month. However, at the year level the number of working days might be too big whenever there are incomplete months – this always happens before the end of the year, or when the first month with sales is not January as in the following example. As you can see in the following figure, in this case the yearly value of SalesPerWorkingDays is lower than the value of any month, which does not make much sense.
Grand Total 5 2 6 Months Libor Rate
At the total level, the number of working days includes the first five months of the year, which are months without sales. In order to accurately compute the sales per working days, you must ignore the working days of the months with no sales. A simple change to the WorkingDays measure does not produce the correct result:
Indeed, the result is even harder to read than before: Although the months with no sales have disappeared from the report, they are still being considered at the year level.
Tales from the borderlands episode 2 1 0 download free. Focus on this: you want the total of WorkingDays to be the sum of the visible rows, whereas you want to compute the SalesPerWorkingDay measure as a ratio between Sales Amount and WorkingDays regardless of the cardinality of the report – the same formula should be used for both the month and the year levels. Instead, the total of WorkingDays is computed in its own filter context. At the year level, the value of Sales Amount is greater than zero. Therefore, the number of working days returned is the number of working days across the entire year, just as in the previous example.
Grand Total 5 2 6 Months Old
Solving the scenario is simple: whenever you have a calculation that works fine at the month level but produces a wrong result at the year level, you need to control the granularity to evaluate the DAX expression in a measure. Because you want the year to be computed as the sum of the individual months for WorkingDays, then you must force the calculation at the month level, aggregating the partial results at a different level of granularity.
When you write a measure in DAX, its logic is recalculated in every cell of a visualization. Sometimes, the result at the total level does not correspond to the sum of the rows visible in the visual, because the logic in DAX aggregates the numbers using a different logic. For example, consider a simple calculation that divides the sales amount by the number of working days.
Figure 5: Reset the pivot table to view all the data again. Now that you're grounded on filtering within a pivot table, let's now filter the grand totals, as shown in Figure 6: Assuming you wish to filter the Grand Total column, click the arrow in the Row Labels field. Choose Value Filters. Select an option from the submenu, such as Greater. Step 4 – Create a calculated field to total all of the sales in the view Step 5 – Drop the Total Sales measure onto the data area. You will see the Total Sales field appear in the Measure Values shelf. Step 6 – Right-click on the Total Sales measure in the Measure Values shelf and choose Edit Table Calculation. Also, start scheduling a 'rest' week every month where you decrease your training by 30-50%. 'I did the 4 month aggressive program. However, at the end of June I was convinced by two friends that I could try a triathlon - so due to my training for the tri I actually did the 3.1 miles on July 19th. End of Month Vessel Count: 89 89. Retention 4 8 9 2 3 6 32 RRF 18 4 7 1 16 46 Grand Total 5 26 18 4 9 1 19 7 89 Disposal Summary Contract Status Atlantic JRRF.
We work off of these three pre-existing measures:
These measures produce the correct figures month by month. However, at the year level the number of working days might be too big whenever there are incomplete months – this always happens before the end of the year, or when the first month with sales is not January as in the following example. As you can see in the following figure, in this case the yearly value of SalesPerWorkingDays is lower than the value of any month, which does not make much sense.
Grand Total 5 2 6 Months Libor Rate
At the total level, the number of working days includes the first five months of the year, which are months without sales. In order to accurately compute the sales per working days, you must ignore the working days of the months with no sales. A simple change to the WorkingDays measure does not produce the correct result:
Indeed, the result is even harder to read than before: Although the months with no sales have disappeared from the report, they are still being considered at the year level.
Tales from the borderlands episode 2 1 0 download free. Focus on this: you want the total of WorkingDays to be the sum of the visible rows, whereas you want to compute the SalesPerWorkingDay measure as a ratio between Sales Amount and WorkingDays regardless of the cardinality of the report – the same formula should be used for both the month and the year levels. Instead, the total of WorkingDays is computed in its own filter context. At the year level, the value of Sales Amount is greater than zero. Therefore, the number of working days returned is the number of working days across the entire year, just as in the previous example.
Grand Total 5 2 6 Months Old
Solving the scenario is simple: whenever you have a calculation that works fine at the month level but produces a wrong result at the year level, you need to control the granularity to evaluate the DAX expression in a measure. Because you want the year to be computed as the sum of the individual months for WorkingDays, then you must force the calculation at the month level, aggregating the partial results at a different level of granularity.
Here is the correct solution:
By iterating over each month, the value is computed month by month leading to blank when there are no sales. When the filter context is filtering the entire year, this latter formula computes the values for every month and then aggregates the partial results, as you can see in the following figure.
Grand Total 5 2 6 Months 4
At this point, because WorkingDays computes correctly at the year level, SalesPerWorkingDay also provides an accurate result.
This scenario is one specific case within a much broader topic, that is how to enforce a calculation at the correct granularity. Experienced data modelers know very well that some calculations can only be done at a specific granularity, whereas less experienced developers sometimes find it hard to solve simple scenarios like the one presented.
Articles in the DAX 101 series
- Mark as Date table(Jul 20, 2020)
- Using USERELATIONSHIP in DAX(May 18, 2020)
- Sorting months in fiscal calendars(Nov 25, 2019)
- Previous year up to a certain date(Sep 12, 2019)
- Using CONCATENATEX in measures(Jun 24, 2019)
- Automatic time intelligence in Power BI(May 13, 2019)
- Creating a simple date table in DAX(May 11, 2019)
- Year-to-date filtering weekdays in DAX(Apr 29, 2019)
- Summing values for the total(Apr 15, 2019)
- Counting working days in DAX(Mar 13, 2019)
- Computing running totals in DAX(Mar 4, 2019)
