Changing Data through slicer

[dmartiprev]

I would like to create new data based on a slicer setting i have chosen linked to a parameter values.  For example, i have a baseline monthly forecast for 2022.  I would like to apply a percentage change to this baseline forecast for alternative scenarios.  For instance, i want to see what the forecast looks like if it was 5% higher than the baseline forecast.  I need this at the data column level and not a measure so that i can create some formulas off that new column data.  For instance, if column B is the baseline forecast, I have create a new column that equals the baseline forecast column multiplied by (1+ parameter value); in this case, i set my slicer to 5%.  I could have easily chosen 6% or something else, that's the type of functionality I'd like to build. 

 

I have created a measure that works visually for this, but i realized I really need this at the column level to use it for other things the way I want.

Adjusted Forecast = 'sheet1'[Baseline Forecast]*(1+'Adjustment Parameter'[Adjustment Parameter Value]/100)

[dmartiprev]

Is it possible to create a new data table in Power BI using this measure you just created so i can get it at a base level using the summarizecolumn function?  = SUMMARIZECOLUMNS('Sheet1'[Date],"Original Hours",average('sheet1'[Baseline Forecast]),"Adj Hours", 'sheet'[Adjusted Forecast])

I need to get the adjusted forecast at a base level so can plug this adjusted forecast number (hours) into a formula that calculates a new sales forecast by date that i can sum all the date sales forecasts into a monthly, quarterly, or annual sales forecast.  If I end up not getting the adjusted hours forecast at the base date level, the measure is either summing or averaging all dates' hours which will not work for my formula.  I need the sales formula to calculate an answer for each date that i can later sum, not come up with an answer right away because i don't what the measure you created ends up giving me.

[dmartiprev]

I'm sorry this is not a solution that works for what I am doing.  This could work if it generated a new table with base data that changes when we adjust the slicer settings.  I need to build a formula at the base level that i can then sum all the individual period solutions into a total.  When i use a measure it either sums or averages the solulutions  for all periods for the formula which gives a incorrect answer.

[Anonymous]

Hi  @dmartiprev ,

Here are the steps you can follow：

1. Create calculated table.

Table 2 = GENERATESERIES(0,1,0.01)

2. Create measure.

Adjusted Forecast =
var _select=SELECTEDVALUE('Table 2'[Value])
var _sum=SUMX('Table','Table'[Baseline Forcast])
return
 _sum*( 1+_select)

3. Result:

Take [Value] as the slicer.

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

[amitchandak]

@dmartiprev , You can not use slicer value in a new column, you have to create a measure using sumx to have line-level values

Adjusted Forecast =Sumx( 'sheet1', 'sheet1'[Baseline Forecast]*(1+[Adjustment Parameter Value Measure]/100) )

assuming Adjustment Parameter is what if parameter - https://docs.microsoft.com/en-us/power-bi/desktop-what-if