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Anonymous
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## Create bins and use bin in bar chart

I have created a calculated column:
Category Sales Bin = (IF(Orders[Sale%]>0 && Orders[Sale%]<=0.06, "0% - 6%",
IF(Orders[Sale%]>0.06 && Orders[Sale%]<=0.14,"7% - 14%",
IF(Orders[Sale%]>0.14 && Orders[Sale%]<=0.21,"14% - 21%",
IF(Orders[Sale%]>0.21,"> 21%" )))))

sale% is also a calcualted column which is calculating percentage and is in decimal format.
Now Category Sales Bin is showing "0% - 6%" for all the values
For 13.01 or 12.68 it is showing "0% - 6%".

Why it is showing for all same value .

also i want to use this bin in bar chart and study sale% distribution bin wise

2 ACCEPTED SOLUTIONS
Super User

Looking at the pbix, I think you already know the answer.  The Sales% in the table visual is an aggregation of the numeric column but the Category Sales Bin 3 is a text field which is not going to aggregate.

Sales% summed actually does make sense in the data but we have to be very careful adding up percentages normally.

One solution is to create SUM(sales%) as a measure and create the bucket calculation as a measure which refers to it.  I think you would have to use a variable to store the SUM(sales%) and then use that variable in the rest of the measure.  Don't overcomplicate it.

You will need Product SubCategory in the visual to provide the correct context

Good luck.

Community Support

Hi @Anonymous ,

The cause is just like what @HotChilli said.

Please create a Measure like so:

``````Category Sales Bin =
VAR Sum_Sales =
SUM ( Orders[Sale%] )
RETURN
(
IF (
Sum_Sales > 0
&& Sum_Sales <= 0.06,
"0% - 6%",
IF (
Sum_Sales > 0.06
&& Sum_Sales <= 0.14,
"7% - 14%",
IF (
Sum_Sales > 0.14
&& Sum_Sales <= 0.21,
"14% - 21%",
IF ( Sum_Sales > 0.21, "> 21%" )
)
)
)
)
``````

Best Regards,

Icey

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

3 REPLIES 3
Community Support

Hi @Anonymous ,

The cause is just like what @HotChilli said.

Please create a Measure like so:

``````Category Sales Bin =
VAR Sum_Sales =
SUM ( Orders[Sale%] )
RETURN
(
IF (
Sum_Sales > 0
&& Sum_Sales <= 0.06,
"0% - 6%",
IF (
Sum_Sales > 0.06
&& Sum_Sales <= 0.14,
"7% - 14%",
IF (
Sum_Sales > 0.14
&& Sum_Sales <= 0.21,
"14% - 21%",
IF ( Sum_Sales > 0.21, "> 21%" )
)
)
)
)
``````

Best Regards,

Icey

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Super User

@Anonymous , Please refer to my Video and the file attached after signature if those can help

Power BI Features || Datamarts: https://youtu.be/8tskWsJTEpg || Field Parameters : https://youtu.be/lqF3Wa1FllE?t=70
Time Intelligence Decoded : https://youtu.be/aU2aKbnHuWs&t=145s
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Super User

Looking at the pbix, I think you already know the answer.  The Sales% in the table visual is an aggregation of the numeric column but the Category Sales Bin 3 is a text field which is not going to aggregate.

Sales% summed actually does make sense in the data but we have to be very careful adding up percentages normally.

One solution is to create SUM(sales%) as a measure and create the bucket calculation as a measure which refers to it.  I think you would have to use a variable to store the SUM(sales%) and then use that variable in the rest of the measure.  Don't overcomplicate it.

You will need Product SubCategory in the visual to provide the correct context

Good luck.

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