The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Hi Experts
I would like to create a new column to group my customer base on certain rules. Please take a look at the example I created below
Customer | Item Purchased |
AAA | GT |
BBB | GT |
AAA | AT |
CCC | AT |
CCC | FT |
DDD | GT |
DDD | GT |
AAA | HT |
CCC | HT |
I want the rule to be like this:
New column= if customer = AAA = "AAA",
if customer = BBB = "BBB"
anything else will be grouped as "others"
Can anyone tell me how to set this formula?
Let me know if my request is confusing.
Thanks!
Solved! Go to Solution.
Hi, @Yuiitsu
Based on your description, you may create a meausre or a column as follows.
Result =
var _customer = SELECTEDVALUE('Table'[Customer])
return
IF(
ISFILTERED('Table'[Customer]),
IF(
_customer in {"AAA","BBB"},
_customer,
"others"
)
)
Result Column =
IF(
'Table'[Customer] in {"AAA","BBB"},
'Table'[Customer],
"others"
)
Result:
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @Yuiitsu
Based on your description, you may create a meausre or a column as follows.
Result =
var _customer = SELECTEDVALUE('Table'[Customer])
return
IF(
ISFILTERED('Table'[Customer]),
IF(
_customer in {"AAA","BBB"},
_customer,
"others"
)
)
Result Column =
IF(
'Table'[Customer] in {"AAA","BBB"},
'Table'[Customer],
"others"
)
Result:
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Experts
I found out that I could just right click the column and add new group.
It is so much easier!
Thanks alot for all the info guys!
Try a new column
New column = switch( true(),
[customer] = "AAA", "AAA",
[customer] = "BBB", "BBB",
"Others"
)
Also check : https://radacad.com/grouping-and-binning-step-towards-better-data-visualization
User | Count |
---|---|
83 | |
83 | |
37 | |
34 | |
32 |
User | Count |
---|---|
92 | |
79 | |
62 | |
53 | |
51 |