Forum Discussion
Converting 3 steps table to only one table
Hi, I am new to DAX and I have an assignment which requires me to simplify all 3 steps table to only one table, preferably using CALCULATETABLE function.
Been trying this for almost 2 weeks now, still can't seem to get the idea.
Does anyone know how I can simplify these steps to only one table?
Thank you
Table 1:
forecasting_uoa_transactions_step1 =
FILTER (
SUMMARIZE (
uoa_transactions_history,
uoa_transactions_history[Date],
uoa_transactions_history[Country],
"UoA", SUM(uoa_transactions_history[Total Changes])
),
DATEDIFF(uoa_transactions_history[Date],TODAY(),MONTH)<variable_uoa_per_cust_window[Variable_UoA_per_Cust_Window Value]+1
)Table 2:
forecasting_uoa_transactions_step2 =
SUMMARIZE (
forecasting_uoa_transactions_step1,
forecasting_uoa_transactions_step1[Country],
"UoA Per Customer Average", AVERAGE(forecasting_uoa_transactions_step1[UoA_per_Customer])
)Table 3:
forecasting_uoa_transactions_step3 =
SELECTCOLUMNS (
customer_transactions_forecast,
"Date", customer_transactions_forecast[YearMonth],
"Country", customer_transactions_forecast[Country],
"Customers", customer_transactions_forecast[Total Headcount]
)
Hi,
According to your description and DAX formulas, I can roughly understand your requirement, I think you can use VAR to define the above two calculated tables as virtual tables to achieve the result in one single DAX formula, you can try to create a calculated table like this:
forecasting_uoa_transactions= VAR _step1 = FILTER ( SUMMARIZE ( uoa_transactions_history, uoa_transactions_history[Date], uoa_transactions_history[Country], "UoA", SUM(uoa_transactions_history[Total Changes]) ), DATEDIFF(uoa_transactions_history[Date],TODAY(),MONTH)<variable_uoa_per_cust_window[Variable_UoA_per_Cust_Window Value]+1 ) VAR _step2 = SUMMARIZE ( _step1, [Country], "UoA Per Customer Average", AVERAGE( [UoA_per_Customer]) ) RETURN SELECTCOLUMNS ( _step2, "Date", [YearMonth], "Country", [Country], "Customers", [Total Headcount] )And you can get what you want.
If this result is not what you want, you can post some sample data(without sensitive data) and your expected result.
How to Get Your Question Answered Quickly
Thank you very much!
Best Regards,
Community Support Team _Robert Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
2 Replies
- lbendlin
Super User
Table 3 seems to be unrelated to the first two steps. Please validate your request.
- v-robertq-msft
Community Support
Hi,
According to your description and DAX formulas, I can roughly understand your requirement, I think you can use VAR to define the above two calculated tables as virtual tables to achieve the result in one single DAX formula, you can try to create a calculated table like this:
forecasting_uoa_transactions= VAR _step1 = FILTER ( SUMMARIZE ( uoa_transactions_history, uoa_transactions_history[Date], uoa_transactions_history[Country], "UoA", SUM(uoa_transactions_history[Total Changes]) ), DATEDIFF(uoa_transactions_history[Date],TODAY(),MONTH)<variable_uoa_per_cust_window[Variable_UoA_per_Cust_Window Value]+1 ) VAR _step2 = SUMMARIZE ( _step1, [Country], "UoA Per Customer Average", AVERAGE( [UoA_per_Customer]) ) RETURN SELECTCOLUMNS ( _step2, "Date", [YearMonth], "Country", [Country], "Customers", [Total Headcount] )And you can get what you want.
If this result is not what you want, you can post some sample data(without sensitive data) and your expected result.
How to Get Your Question Answered Quickly
Thank you very much!
Best Regards,
Community Support Team _Robert Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
