Sales:
saleid, saledate, amt, customername
When I place all the above into a table visual then it shows 1 record per sale row.
However, when I only place the customername into a table visual, then it shows me distinct customernames. It looks like the table visual is actually a pivot table and not a normal table.
How do I make it to display 1 record per sale like a normal table even when customername is the only column in the visual?
Related
I have a table with below columns in my dataset. We have monthly revenue for each resellers in this table.
For few resellers, there will be no data for some particular months, as they didn’t generate revenue on those months. I want to create rows for those resellers with the missing date and the revenue for those missing dates to be updated as blank.
Please advise how we can achieve this.
Current data:
Expected result:
For the missing dates you need to create a date table using the CALENDAR function like this:
Date table = CALENDAR(MIN(Date), MAX(Date))
This will create a table with a single colmn containing all the dates in your table with filled gaps (even if you don't have certain dates in your table). Then you need to create a relationship between your table and the date table.
When you use the date and the revenue in a visual lets say table or matrix all dates will be visible but the revenues will be blank (except for those that actually had a value in revenue).
Sales:
saleid, saledate, invoicedate, customername, amt, productid
Product:
productid, productname
Measure:
formatsaledate = FORMAT(LASTDATE(sale[date]),"dd/mm/yyyy")
On the visual pane, when I drag the following columns into a table visual, then it displays:
However when I put the above measure into the table visual then data gets duplicated:
Why does using measure to format the date (dd/mm/yy) results in duplicate rows?
I have following questions.
Table Sales:
Table Product:
Table Sales is connected to table Product via Sales ID.
Table Sales contain 5 unique records, table Product contain only 3 of them. 2 are missing. Is there some way how to artificially create in Power BI missing category?
I'm learning DAX and I'm trying to make a measure for Sales Last year.
this formula works :
Sales LY = CALCULATE([Sales CY],SAMEPERIODLASTYEAR(Date[Date]))
But when I add FILTER to the measure, it gives me the values from the current year like "Sales CY"
Sales LY = `CALCULATE([Sales CY], Filter (dim_date, SAMEPERIODLASTYEAR (Date[Date]) ))`
I already have a date filter on the page relative date in this year
the invoices Table and Date table are joined on the date of the creation of the invoice (createdat)
Any ideas what's the meaning behind the things in blue circles?
The FILTER function expects a condition that can be checked for each row of the table instead of a column of dates returned by SAMEPERIODLASTYEAR, so I wouldn't expect the second version to work.
I think the bits circled in blue are emphasizing that you are connected an imported data table to a DirectQuery table (different storage modes).
I would like to create a table to compare Month To Date (MTD) Vs YTD Sales data metrics
I am using two queries:
1st query = YTD Sales data (Two fields: Sales and Quotes)
2nd query = MTD Sales Data (Two Fields: Sales and Quotes).
Each query has the same field names, just different data
I would like to output a table like the following
How to I create the above table? At the moment I can only create a table like the following:
The latter 1x4 table only works if I appropriately name the fields. But definitely isn’t what I want, because with enough fields, the table could go on forever.
Any help would be appreciated
In the query editor, create a label column for each table that labels what they are and then append the two tables together so you get something like this:
Then you can create a matrix visual with the Label column in the Columns field and the Sales and Quantity columns in the Values area.
Make sure you've switched "Show on Rows" to "On" under the Format > Values section of the Visualizations pane.