I hope someone can help me.
I'm struggling with a DAX related question. I want to add a calculated column to index my cashflow with the index % from previous years.
I have a many-to-one relation.
One table with containing cashflows in different years (column= year + cashflow). I want to index the cashflows with the inflation % in another table.
The other tablad contains column like year and index %.
I'm not very experienced with DAX, but I tried the following:
cashflow_index = calculate( PRODUCT( B[index %]) ; filter ( B ; B[year] <= A[year]))
But i get an error. Can somebody help me to index the cashflows.
Thank you very much.
Related
I have received answers to my last question. Thanks to all. Now I have another query. I have a lookup table, called Products and a transaction table, called Sales. The relationship between them is one to many. I want to make a Calculated Column at Product to get the total number of sales for each product. I tried to apply Calculate function as solution.
Product [total number of sales] =
Countrows ( Filter (Product, Calculate (Sum( Sales [SalesAmount])))).
I expected products in each row in Product table shall filter the sum of sales amount and generate a virtual table with all the entries related to a particular product. And finally, Countrows shall count the number of entries. But on the contrary, it resulted with same number in each row.
I am just a beginner in DAX. I tried to solve it depending on context transition concept. But my guess was wrong. Please help me out. Thank you in advance.
Use RELATEDTABLE:
If you just want the number of entries in the Sales table per product:
=
COUNTROWS(
RELATEDTABLE( Sales )
)
If you want the total sales per product:
=
SUMX(
RELATEDTABLE( Sales ),
Sales[SalesAmount]
)
I have 2 tables for stock management. 1 for the list of stock and some other properties and 1 for the daily values (i have a relationship between both on the index of the stock).
I would like to have a weekly performance ie the value has increased/decreased by xx from the previous week.
So I created a table (weeklies) with a few rows which correspond to a week for each row. I have 2 columns: 1 is the beginning date of the week, 1 is the last date of the week.
Im creating a calculated third column with the sum of all the values at the beginning date of a given week :
CALCULATE (
SUMX ( Daily_Stock; [Price] * RELATED ( Stock_list[Qty] ) );
FILTER ( Daily_Stock; Daily_Stock[Date] = weeklies[begin_date] )
)
It works fine but I would like to exclude some stocks which were sold before the beginning date (i have other reasons to be able to achieve this) so I'm trying to multiply by 0 if it is the case for that specific stock.
CALCULATE (
SUMX (
Daily_Stock;
[Price] * RELATED ( Stock_list[Qty] )
* IF ( RELATED ( Stock_list[sold_date] ) < weeklies[begin date]; 0; 1 )
);
FILTER ( Daily_Stock; Daily_Stock[Date] = weeklies[begin_date] )
)
There I have the following error :
A single value for column sold_date in table Stock_list cannot be determined.
Tweaking around a little bit and I had the same error on the weeklies table.
Does anyone know what I should be doing here?
I can explain more, I wanted to avoid a too-long post.
thanks
I think the issue is the relation.
I assume the RELATED is based on the stock index you mentioned.
I think related stock_list[sold_date] returns all dates that RELATED stockID has ever been sold.
Which would mean you are trying to compare more than one date with weeklies[begin date].
image copied from powerpivotpro on using VALUES with IF in measures.
If i am right, you need another way of relating to your stocklist to get singular matches. I am not sure if the VALUES solution rob collie uses for measures will work here, but maybe it is worth testing. Rob collie powerpivotpro - Magic of IF(VALUES)
I have table[Table 1] having three columns
OrganizationName, FieldName, Acres having data as follows
organizationname fieldname Acres
ABC |F1 |0.96
ABC |F1 |0.96
ABC |F1 |0.64
I want to calculate the sum of Distinct values of Acres
(eg: 0.96+0.64) in DAX.
One of the problems with doing what you want is that many measures rely on filters and not actual table expressions. So, getting a distinct list of values and then filtering the table by those values, just gives you the whole table back.
The iterator functions are handy and operate on table expressions, so try SUMX
TotalDistinctAcreage = SUMX(DISTINCT(Table1[Acres]),[Acres])
This will generate a table that is one column containing only the distinct values for Acres, and then add them up. Note that this is only looking at the Acres column, so if different fields and organizations had the same acreage -- then that acreage would still only be counted once in this sum.
If instead you want to add up the acreage simply on distinct rows, then just make a small change:
TotalAcreageOnDistinctRows = SUMX(DISTINCT(Table1),[Acres])
Hope it helps.
Ok, you added these requirements:
Thank You. :) However, I want to add Distinct values of Acres for a
Particular Fieldname. Is this possible? – Pooja 3 hours ago
The easiest way really is just to go ahead and slice or filter the original measure that I gave you. But if you have to apply the filter context in DAX, you can do it like this:
Measure =
SUMX(
FILTER(
SUMMARIZE( Table1, [FieldName], [Value] )
, [FieldName] = "<put the name of your specific field here"
)
, [Value]
)
I am new to Power BI and currently I am working with table visulaizations and slicers.
My data is as follows
Student table:
Date table:
Exam table:
The relationships within the table are as follows:
I want an output like the image shown below, I would like to create 2 table visuals that can be filtered on Student Name, Classroom and also have slicer on 2 dates. I need to compute minimum score. The user must be able to select 2 dates at a time on the slicer, the first date selected on the slicer should be attached to my 'Min Score at date1' and second date selected on the slicer should be attached to my 'Min Score at date2', and the third column 'Difference in Score' must be able to calculate the difference between the Min Score at date1 and Min Score at date2.
Similarly I also want to calculate the average minimum score too
Please let me know how to proceed or what alternative formula or query or method should I apply to get the desired result.Thanks!
Before I start, let me mention that this example was done in SSAS so it may need some tweaking in PowerBi but the logic is identical nonetheless.
First create a clone date table and call it something else e.g. 'Compare Date'. Next, create an inactive, one to many relationship between the 'Compare Date' and your 'Fact' table, see the image below, in this case I am joining on [Year Month], you will need to adjust to fit your needs:
If you are unsure how to do this, just right click on the new table and select the create relationship option, ensure that the relationship is like the image below:
Once this has been done, right click on the 'relationship' and mark it as inactive.
Now that you have the new date table and the relationships set up, I want you to create a few DAX measures:
Min Date 1 = Min('Student Table'[Score])
Min Date 2 = CALCULATE(Min('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Avg Date 1 = AVERAGE('Student Table'[Score])
Avg Date 2 = CALCULATE(AVERAGE('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Delta Min = [Min Date 2] - [Min Date 1]
Delta Avg = [Avg Date 2] - [Avg Date 1]
These measures will calculate exactly what you need and can be filtered independently via two date slicers tied to each date table. The rest is just busy work.
I hope this helps.
I have a table [Delays] with a column called [Delay]. I also have a table [Ranges] with three columns: [Range], [From] and [To]. I need to create a column in the [Delays] table to display the Range value from the [Ranges] table according to this criteria: 'Delays'[Delay] >= 'Ranges'[From] && 'Delays'[Delay] < 'Ranges'[To].
Help is greatly appreciated.
Try creating a measure using:
=CALCULATE(
VALUES(Ranges[Range]),
FILTER(Ranges,
Delays[Delay] >= Ranges[From]
&& Delays[Delay] < Ranges[To]
)
Depending on your table, you may need to use the HASONEVALUE function because if delay falls in multiple ranges, the measure will fail.
This is assuming that the Ranges table and Delays table are not joined together. If they are, you can just add the Ranges[Range] from the Delays table.
SUMMARIZE(
Delays,
Delays[Delay],
Range[Ranges]
)