I am trying to create a measure to calculate the sum of sales for the previous quarter with a filter.
This is what I tried:
PQ Retail Sales = CALCULATE(SUM(MASTER_SALES_REPORTING_COMPETITION[Retail Sales $]),
FILTER(MASTER_SALES_REPORTING_COMPETITION,
MASTER_SALES_REPORTING_COMPETITION[Vendor Grouped] = "Company A"),
PREVIOUSQUARTER(DateDim[Date]))
Is there a logical error with the dax? PowerBI doesn't pick up any errors however I get a blank result.
Thank you.
Related
I have a table (we'll just call it MyTable) in PowerBI that includes a Date column. I have created a DateDimension table using CALENDARAUTO() with columns for the Date, Month#, MonthName, etc and created the relationship between that Date and the Date in MyTable.
I want to calculate the average year based on the records in MyTable. For example, if I have records with 1/1/2005, 1/1/2014, and 1/1/2015, the average year should be 2011.
How would I go about doing that? I've tried doing a measure of AVERAGE(DateDimension[Year]) and adding that to a Card visual, but it just shows 2.01K. If I do FORMAT(AVERAGE(DateDimension[Year]), "####"), the average is completely wrong.
Since you already have this DateDimension table, use
Average =
AVERAGEX(
MyTable,
RELATED(DateDimension[Year])
)
You can control the formatting by clicking on the measure (Average) and then using the Measure tools pane:
Set it to Whole number and no thousands operator.
[Please refer to the below image. I want to create a stacked column chart but I don't have a column that includes 0-30, 30-60, 60-90, etc. How did I put this range on X-axis?
And I didn't understand what kind of measure is used for "LAST 3 MONTH average" & "LAST 12 MONTH average ".
Can you please assist me with the same? ]
https://i.stack.imgur.com/AEnoa.png
Here is Microsoft documentation on using grouping and binning features in Power BI: https://learn.microsoft.com/en-us/power-bi/create-reports/desktop-grouping-and-binning
You can create a measure for last 3 month average like this:
3 Month Average = CALCULATE(
AVERAGE(Table[value]),
FILTER(Table,
Table[date] >= DATE(YEAR(TODAY()),MONTH(TODAY()-3),DAY(TODAY()))
)
)
I am trying to calculate the Cumulative Purchases by YTD. The first step is to rank the items by Cost Amount, but when I try to rank by the [_YTD Cost] measure, the numbers I get do not make sense (skipped numbers, duplicated).
[]
I had 3 slicers: Month, Year and to select Month/YTD measures. Since with the Month calculation I have no problems, I removed the interaction with the Month/YTD slicer and I placed only YTD measures on the table:
Total Purchase Cost = SUM ( Purchases[Amount] )
_YTD Cost = TOTALYTD([Total Purchase Cost], 'dim-calendar'[Date])
_RANK YTD = RANKX(ALLSELECTED(Purchases), [_YTD Cost])
Notes:
I pulled the item from the Item table
The Purchase table is linked to the Date table by Purchase Date
Not 100 % sure on your data model, but try changing your RANKX(ALLSELECTED(***) to reference the Item-column. Like this:
RANKX(ALLSELECTED('Item'[Item]), [_YTD Cost])
I have a requirement where i have to summarise the sales data by department and then create a calculated column to show the percentage of how much each department had contributed towards total sales.
Here % should be the calculated column in Direct Query Mode
Since you did not provide much information or what you have already tried, I can't really guess your model, but I hope this gives you a starting point.
Create a new measure:
(replace the table name where needed)
% Sales Sub Category = DIVIDE(
SUM('Sales'[Sales]),
CALCULATE(SUM('Sales'[Sales]), ALL('Sales'[Sub Category])
)
I am fairly new to PowerBI DAX and I want to filter out the top 20 product ids in a measure.
I came up with this formula but it does not seem to be working and I was hoping to get some help here.
$ Amount Parcel =
CALCULATE(
SUM(Data[$ Amount Parcel]),
FILTER (Data, NOT (Data[idProduct], SUM(Data[NetSales])) IN TOPN(20, SUMMARIZE(Data, Data[idProduct], "NetSales", SUM(Data[NetSales]))))
)
I want to show sales per PID for all products except for our 20 best sellers.
Thank you !!
I would suggest an easier approach adding a dimension column.
First of all, you need to have Product dimension table separated from Sales fact table. Make sure to create one-to-many relationship between Product and Sales with "Single" cross filter direction.
Then you can create a calculated column on Product table, which can be used to filter out top selling products.
Sales Rank = RANKX('Product', CALCULATE(SUM(Sales[SalesAmount])))
Now drag and drop Sales Rank field into the Filters pane of your visualization, and set the filter condition so that top selling products will not be shown.