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 nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
Hi there ,
I have a data as below ;
When i create a chart on power bi , datas are showed together based on months as below
But i want to show datas as below based on their names groupped first then based on month , could you pls telll me how can i manage below seem on power bi ... thanks in advance
Solved! Go to Solution.
I was hoping Field Parameters could be used to quickly solve this but the result wasn't quite what you requested. Instead I put your Categories into a table and added a measure to extract the values from your table.
1. Category table (DAX), Seq should be used as sorting column:
Categories = DATATABLE(
"Category", STRING,
"Seq", INTEGER,
{
{"Total Sales", 1},
{"Branch 1 Sales", 2},
{"Branch 2 Sales", 3},
{"Total Order Qty", 4},
{"Total Delivery", 5},
{"File Qty", 6}
}
)
2. Measure (DAX):
Measure = SWITCH(SELECTEDVALUE(Categories[Category]),
"Total Sales", SUM('Table'[Total Sales]),
"Branch 1 Sales", SUM('Table'[Branch 1 Sales]),
"Branch 2 Sales", SUM('Table'[Branch 2 Sales]),
"Total Order Qty", SUM('Table'[Total Order Qty]),
"Total Delivery", SUM('Table'[Total Delivery]),
"File Qty", SUM('Table'[File Qty])
)
3. Use Clustered Column Chart visual with 'Categories'[Category] as x-axis, 'Categories'[Measure] as y-axis and 'Table'[Month] as legend.
I was hoping Field Parameters could be used to quickly solve this but the result wasn't quite what you requested. Instead I put your Categories into a table and added a measure to extract the values from your table.
1. Category table (DAX), Seq should be used as sorting column:
Categories = DATATABLE(
"Category", STRING,
"Seq", INTEGER,
{
{"Total Sales", 1},
{"Branch 1 Sales", 2},
{"Branch 2 Sales", 3},
{"Total Order Qty", 4},
{"Total Delivery", 5},
{"File Qty", 6}
}
)
2. Measure (DAX):
Measure = SWITCH(SELECTEDVALUE(Categories[Category]),
"Total Sales", SUM('Table'[Total Sales]),
"Branch 1 Sales", SUM('Table'[Branch 1 Sales]),
"Branch 2 Sales", SUM('Table'[Branch 2 Sales]),
"Total Order Qty", SUM('Table'[Total Order Qty]),
"Total Delivery", SUM('Table'[Total Delivery]),
"File Qty", SUM('Table'[File Qty])
)
3. Use Clustered Column Chart visual with 'Categories'[Category] as x-axis, 'Categories'[Measure] as y-axis and 'Table'[Month] as legend.
In Power Query, if you select the first column (Date?) and choose Unpivot other columns, you will get 3 columns that can be pulled on to a column chart to get what you want
| User | Count |
|---|---|
| 24 | |
| 22 | |
| 22 | |
| 21 | |
| 13 |
| User | Count |
|---|---|
| 67 | |
| 56 | |
| 45 | |
| 42 | |
| 30 |