find % of row value vs. column total

I think I have the exact same question. See screenshot below for question. I'd like a column that would be 325,965 / 959,627  or 34.0% and so on for each subsequent row.

Hello @mwade and @kivlind,

Sadly in beastmode we cannot calculate this. We will need to use a dataflow to accomplish this. 

Using a Magic ETL:
In ETL we first want to replicate our card. 

1.  Add an input dataset and select your dataset
2. If your card has any filters you want to apply them next, using "Filter Rows"
3. We will now use "Add Constants" to add a constant text column of 1
   
   
   
4. Now using group by we are going to group by "1" and aggregate our value column
   
   1. If you have multiple Value columns you want to aggregate all of them in this step. 
5. You should now have a column with a single value in it. 
   
   1. This is your total for that column 
6. You now will want to join this to our original data.From the orignal data we are going to use "Add Constants" and add a constant text column with a value of 1
7. We now can join our input dataset to our single value. 
   
8. Add a Select Columns and remove your columns 1 and 1_1
9. Now you can add your output. 
   
   
   

You can now create a card from this Magic ETL. You will now have a column that contains a total value. 

You can now create a beastmode to find the percent. 

SUM(`value_column`) / MAX(`total of value`)

This should give you your percentage. 

OVER() indicates the function is not a plain aggregation, but an analytic function. It's also called a window function because you can specify a window of rows to evaluate.  In the example above, OVER() is empty which indicates that the SUM is to be across all-time and all groupings, thus returning the grand total.

 Here is some documentation for one database vendor...which explains how it generally works.

https://www.vertica.com/docs/9.2.x/HTML/Content/Authoring/AnalyzingData/SQLAnalytics/WindowPartitioning.htm