Using slicer for sum of columns

[Anonymous]

Suppose I have the following data:

Name	Country	January	February	March	April	May	June	July	August	September	October	November	December
Alex	USA	14	0	74	12	13	98	13	100	18	68	31	35
Andrew	USA	57	24	67	32	21	37	29	80	54	9	25	34
Diego	Spain	84	100	52	32	86	11	69	74	77	26	73	85
George	Canada	30	95	89	44	85	41	97	38	5	11	59	19
John	Australia	47	90	16	55	80	87	98	7	14	79	37	5
Laura	Spain	66	24	76	82	71	92	59	64	68	78	16	84
Mary	Canada	14	49	64	44	91	49	96	26	76	25	33	34
Santiago	Spain	55	97	32	82	71	88	31	27	89	55	77	5

I want to have a slicer with the months of the year, allowing single or multiple segmentation at once. With that I'd like to have a table (or any graphic) that shows the sum of the values for each country, depending on the months selected in the slicer.

For example:

If only January is selected as a filter we would obtain this count: USA - 71, Spain - 205, Canada - 44, Australia - 47. However, if we select from January, February and March in the slicer, we would obtain: USA - 236, Spain - 586, Canada - 341, Australia - 153.

I need help on how to handle this problem, since I don't know how to turn "Months" into a slicer.

Thanks in advance.

[selimovd · Accepted solution]

Hey @Anonymous ,

you should unpivot the month columns. You can do that like this:

Then you can rename the "Attribute" column to "Date", replace the values with real dates and then you can slice by date in the report.

If you need any help please let me know.

If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍

Best regards

Denis

Blog: WhatTheFact.bi

Follow me: twitter.com/DenSelimovic

[parry2k · Accepted solution]

@Anonymous understood, but as a best practice and a scalable solution, it is always good to have unpivoted data. There is always create a better model or write a complex DAX to achieve the business goal. You decide what to pick. So better to revisit your solution by revisiting that this needs to be unpivoted. All the best. 

Check my latest blog post Comparing Selected Client With Other Top N Clients | PeryTUS  I would ❤ Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

⚡Visit us at https://perytus.com, your one-stop-shop for Power BI-related projects/training/consultancy.⚡

[V-pazhen-msft · Accepted solution]

@Anonymous 

Dax calculation is based on rows not column, the best solution for is to transform the table making the month into rows then you can create a slicer to filter to interact. If you are worrying about later report creation. You can just duplicate the table then use the new table for this sum calculation.

Paul Zheng _ Community Support Team
If this post helps, please Accept it as the solution to help the other members find it more quickly.

[parry2k · Accepted solution]

@Anonymous understood, but as a best practice and a scalable solution, it is always good to have unpivoted data. There is always create a better model or write a complex DAX to achieve the business goal. You decide what to pick. So better to revisit your solution by revisiting that this needs to be unpivoted. All the best. 

Check my latest blog post Comparing Selected Client With Other Top N Clients | PeryTUS  I would ❤ Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

⚡Visit us at https://perytus.com, your one-stop-shop for Power BI-related projects/training/consultancy.⚡

[selimovd · Accepted solution]

Hey @Anonymous ,

you should unpivot the month columns. You can do that like this:

Then you can rename the "Attribute" column to "Date", replace the values with real dates and then you can slice by date in the report.

If you need any help please let me know.

If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍

Best regards

Denis

Blog: WhatTheFact.bi

Follow me: twitter.com/DenSelimovic

[Anonymous]

Hey @selimovd  thanks for the help.

I wonder if there is any other alternative to solve this. Since this is a very simplified example of the real data that I'm handling, and the dashboard has many others graphics and variables, I don't know if by "unpivoting" my data, managing the information of the other columns would be more difficult.

[parry2k]

@Anonymous you need to unpivot your data in PQ

- transform data
- select name and country columns in the table
- right-click, unpivot other columns it will add two columns, attribute, and value, rename these as per your requirement
- close and apply

Now you can slice the data by months.

Check my latest blog post Comparing Selected Client With Other Top N Clients | PeryTUS  I would ❤ Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

⚡Visit us at https://perytus.com, your one-stop-shop for Power BI-related projects/training/consultancy.⚡

[Anonymous]

@parry2k thanks for the response.

Question: this is a simplified example of the real data that I'm handling, and the dashboards has many others graphics and variables. If I unpivot my data wouldn't that make more difficult the ellaboration of my dashboard? Is there any other alternative to the stated problem?