Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hello,
This should be a simple question but cannot figure it out for the life of me. Below I have an example of data I am looking at. Essentially, I want to be able to create a column chart that shows both 'In' and 'Out' transactions. The issue is that In and Out both live under Transaction. Any idea whether through DAX or Power Query Editor that I can split these out to achieve the chart?
Thanks!
Solved! Go to Solution.
You can use the Transaction field as it is to achieve this. Below, I entered data to a table to match your first 4 rows. I have the Date and Transaction fields in X-axis and a measure for the sum of Amount in Y-axis:
Proud to be a Super User! | |
I would use a matrix, but yes. Here it is with Transaction as columns and Date in rows:
Here it is with Date in column and Transaction in rows:
Here it is with date and transaction in rows and nothing in column:
Proud to be a Super User! | |
You can use the Transaction field as it is to achieve this. Below, I entered data to a table to match your first 4 rows. I have the Date and Transaction fields in X-axis and a measure for the sum of Amount in Y-axis:
Proud to be a Super User! | |
Thanks! Would this be the same idea for a table where I can show both In/Out? Currently it groups it under the same transaction column.
I would use a matrix, but yes. Here it is with Transaction as columns and Date in rows:
Here it is with Date in column and Transaction in rows:
Here it is with date and transaction in rows and nothing in column:
Proud to be a Super User! | |
Thank you so much! 😊
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 23 | |
| 22 | |
| 18 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 63 | |
| 44 | |
| 42 | |
| 40 | |
| 39 |