Forum Discussion
Don't summarize problem
Hi all,
within my data, I have unit prices of different products and their costs.
When I display them in a table they look fine, after applying "Don't summarize".
But when I want to visualize them in a combo bar-line chart, all the unit prices and costs sum up showing me something completely different.
Could you please assist?
Thanks in advance
Anonymous
I am not sure if this is what you are facing.
if you have duplicated records in your rawdata, you can change the unit price to average.
if you have same product with different unit price, you can drag both product and unit price to shared axis and drill down to next the unit price level.
3 Replies
- ryan_mayuSuper User
Anonymous
I am not sure if this is what you are facing.
if you have duplicated records in your rawdata, you can change the unit price to average.
if you have same product with different unit price, you can drag both product and unit price to shared axis and drill down to next the unit price level.
- AnonymousNot applicable
I did have duplicated prices and I think that was the problem starting from my data source.
I put the price & cost per every data point instead of having a separate table with prices and costs related to every data point by using their ID_price or ID_cost.
Thank you for the answer!
- Greg_DecklerCommunity Champion
Anonymous - It's difficult to say without knowing how your source data looks exactly. Maybe try a different aggregation like MAX or something?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.