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Converting single column into rows

ArnabSengupta
8 - Asteroid

Hi All,

 

I have a dataset, where it gives sale of 3 product based on different months.

 

I want to convert the Months column into rows so products are not duplicated for each month.

 

I have attached an excel file to this and also sheet 2 contains the expected output.

 

Help is much appreciated

 

Thank you! 

8 REPLIES 8
AkimasaKajitani
17 - Castor
17 - Castor

Hi @ArnabSengupta 

 

I can't find the month column from your sample file.

But according to the Desired Output, I made the sample workflow.

 

Step is as follows.

1. I filled the empty value of "Order number" and "Product number" by using Multi-row formula.

2. I made the field of Make1~3 by using Tile tool.

3. After that, I used the Cross Tab into desired output.

AkimasaKajitani_0-1628825941158.png

 

Please check the attached workflow. If you have any question, let me know.

 

ArnabSengupta
8 - Asteroid

Hi @AkimasaKajitani : I am sorry for the mishap, I uploaded a wrong file. I have updated it with the correct file. Kindly take a look into it.

 

Thank you!

messi007
15 - Aurora
15 - Aurora

@ArnabSengupta,

 

You can do this with cross tab tool.

Please see below:

 

messi007_0-1628841010510.png

 

Attached the workflow.

 

Hope this helps!

Regards

 

HomesickSurfer
12 - Quasar

Hi @ArnabSengupta 

 

Here's my approach that includes all calendar months, including those not present in your data(without sales), and; with columns in left-right order (Jan-Dec)...assuming that you will require that.

 

Workflow attached.

 

Monthly Sales 1.PNG

atcodedog05
22 - Nova
22 - Nova

Hi @ArnabSengupta 

 

Just adding another approach to the mix 🙂

 

Workflow:

atcodedog05_0-1628860665559.png

 

Hope this helps : )

 

ArnabSengupta
8 - Asteroid

Thank you all for helping me out on this.

 

Cheers!

HomesickSurfer
12 - Quasar

Hi @ArnabSengupta 

 

Did you not require columns for.months without sales, as per your sample output?

Kamran1991
11 - Bolide

You can use this also

2.PNG

1.PNG

  

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