Power BI: How to merge two tables (loaded plus created table) - powerbi

I'm struggling with what I assume is a calculated table in Power BI Desktop.
I need to somehow connect my database loaded Accounts table with a manually created Progress table (with some fixed data), so that each row in Accounts basically has a calculated column which is the resulting Progress table for that row. (Hope that makes sense).
[This is the Progress table1
The calculated columns in the Progress table should use data from the related Accounts row to give an overview of where the Account is now, how long it took and the likely future time frames to reach the next levels of progress.
Is there a way to do such a thing?
TIA!
Dennis

I think you have 2 options:
Add a column in the model layer using the DAX LOOKUPVALUE function: https://msdn.microsoft.com/en-us/library/gg492170.aspx
From the Edit Queries window, use the Merge Queries button, then Expand the resulting NewColumn.

Related

Join 2 table in power bi

I need help on this issue as i don't have any experience in Power Bi. I want to join 2 table in Power Bi where it have the same column which is Part_Number. How can i make this 2 table to match by Part Number and return the value?
Recon Table
Inventory Table
I would like to have Part Number, Part Name, QTY, Total Quantity as the result. Hope that i can the clarification i need. Thanks a lot!
For this case you simply must merge the tables. It doesn't look like you have done a lot of research on the matter though, so it's hard to understand exactly what you need help with.
To merge your two tables in Power Query, I would right click in the left hand side menu and select Merge Queries as New.
After that you simply follow the on-screen instructions and select your two tables and their respective key columns. After merging you can choose to disable load of your two original tables to save space in your data model, but this depends on your requirements.
If this was my data model, I would think on why joining these tables are necessary, instead of using these two tables as fact tables, and creating a third table to handle the part number dimension with associated part metadata.
Read the docs: Merge queries in Power Query

new Power BI table combining unrelated data

I am trying to create a table that is a list of all possible combinations between two tables: products and companies. I'm building a dashboard in Power BI and the data comes from SQL queries. I have the following list structures for the Products table and the Companies table:
and my desired output for analysis is:
There is nothing that relates the companies to the products, and I'm trying to get a list of all of the products for each company. Can I do this in Power BI? If not, is it possible in SQL (there is nothing to join on)? Thank you for your help!
You can do this with a 'hacked' join, or a cross join. I prefer the former from a process POV, but cannot speak to speed or efficiency.
Using a Join ( Merge in PQ )
Create a new column 'DummyKey' with a value of 1 on each table.
Merge both tables using your 'DummyKey' columns.
Complete the Join process and choose the columns you want to bring through.
Cross Joins in PowerQuery according to MS
I think this 'cross join' is only technically right and does not provide future flexibility.
Both methods will get you to the same end point, and can be done in SQL or PQ.

Power BI problem in direct active relationship

I have a problem with Power BI in the use of multiple direct active relationship between two table.
I have this 2 table: Population and Cost and I want to graph the the costs over the years in the different regions according to the population of the region.
In Population the attributes of my interest are: Year, Region, #Population, insted in Cost I have: Year, Region, Costs. So I need to create two active relationship between Year and Region in the two tables. However I can't do that in Power BI.
I tryed to generate a new Population table (an identical copy of the other) and create the two active relationship: the first (for Years) between Cost and one Population, the second (for Region) between Cost and the other Population.
Unfortunately this solution is not successful, in fact, by dividing the costs for the population, in one case I obtain the aggregation over all the years, in the other the aggregation of all regions.
Does anyone have any idea how to solve the problem?
Each Power BI relationship is limited to a single column from each table. The typical workaround to your scenario is to create a concatenated column on each table.
You can do this in the Query Editor (my preference) using the Merge Columns button from the Add Column ribbon.
The other method would be using the Add Column button (e.g. on the Modeling ribbon) and writing the DAX formula e.g.
Year Region Key = [Year] & [Region]
Once you have a concatenated column added to both tables, use that to create the active relationship.

Power BI / DAX return values from table from rows filtered out by slicer

I have a table visualisation that shows the populations of countries and a toggle switch that flips between 'sold' and 'unsold'. (This works with a measure that checks is a country is present in a sales table and assigns a 1 or 0 which is then used as a filter on the table visualisation).
Various slicers in the dashboard are used to filter the data model and retain the details of sales. When 'unsold' is selected therefore, the relevant countries are already filtered out of the countries data table and it is not possible to display them with their populations.
At the moment the workaround is to use a duplicate countries table that only has a one way filter, so that the rows remain regardless of filtering. This means that other slicers which interact with the rest of the data model don't filter the table visualisation as desired.
I am sure this must be possible using some combination of CALCULATE(), FILTER() and ALL() but I haven't managed to achieve this.
N.B. I can force the unsold countries to appear in a table visualisation using a constant measure (with formula: measure_name = 0) in a column .
Apologies if this is not very well explained, any help much appreciated.
Thanks for reading,
S
Image attached to (hopefully!) explain problem better.
Real scenario is more complicated hence not screenshotting from PBI.

How can I have a measure adhere to slicer filters?

I'm trying to figure out how to get a measure to adhere to the filter set by a slicer in Power BI.
My DAX query is: Block Time Cost = SUMX( FILTER(v_Invoice_Line_Items, v_Invoice_Line_Items[IV_Item_RecID]=9), v_Invoice_Line_Items[billable_ext_price_amount])
I know very, very little about DAX so my initial query may be way off base.
It calculates as I expect, but when filter with a date range silcer the value does not update as expected or at all.
I'm pulling my data from two views in the same database, v_Invoice and v_Data_Combined. I have a page level filter on the row Record_Description to limit the data to the types I'm looking for and the measure pulls it's data from rows in the v_Data_Combined view.
The rows in v_Invoice are below.
A sample copy is here.
and the rows for v_Data_Combined, if you click they will enlarge.
A sample copy is here.
I have no relations set between the views.
How can I have a measure adhere to slicer filters?
The slicer has to be on the same table as the measures you're filtering, or on a table related to that table. If your slicer is on a column in v_Invoice and your data is from v_Data_Combined - and the 2 tables are unrelated in Power BI, the slicer from one table will have no effect on the data from the other table.
Without sample data (which can be fake data), it's hard to make further recommendations.
However, if the two tables you have aren't really related to each other, then I would recommend exploring the possibility of "lookup" tables. E.g. if you have Company_Name in both tables, then you might add a 3rd table that is a unique list of companies (their name, address, etc). Then, when you want to slice by company you would slice on this 3rd table. That slicer will then filter both related tables (without having to have the tables related to each other).
You can read more about data modeling in Power BI, and how to design lookup tables, here: https://powerpivotpro.com/2016/02/data-modeling-power-pivot-power-bi/