Removing filters from drill paths

@wwood I tried to find a way in which to do this exact same issue.  I opted to instead create a second card and link it as a "related card"  

I left the drill down so that they have the option to see the data using that filter, but keep in mind if they use the drill they will no longer see the related card unless you decide to add it into that path as well.

I will be very interesting that I can create one card 2level without filter of card 1Level. It´s very useful

Is possible this option?

Same problem for me.  Nobody is going to know they have to remove a filter unless they are trained, and it's annoying to have to do so every time there's a drill down.

Not true.  In my example, the top-level chart plots each department as a line.  The drill down chart plots individual staff members as a line.  Two different groupings.

What I want is that the user can click on the department line and then get a chart that shows them the lines of the staff within that department.

Hello, three years later!

I am super disappointed that this is still not a feature. After three years? I was designing a dashboard with the design dashboard feature, but it is totally unviable because I cannot control the drill path.

See the image. Each line represents a group of people. I want users to be able to click a line and see the trends for all the individuals. But when you click the line, you only see results for a specific month.

So now my users get to live with the typical dashboard experience, where they still have to deal with this terrible experience of removing a drilldown filter every **bleep** time 

Hi,

I solved it a little differently. I created a new modified dataset from the original. As per the requriement in the first visualization i had to build the metrics using the last recordvalues in the dataset. But in the drill down second visualization, i wanted to build the metrics using entire time-line from the beginning of the table and not just a slice which happened to be the last record in my dataset.

Solution :

First Part :Was to join the original table with the subset of the table itself for the entire time period. By using ETL in DOMO, i added new columns where each column had duplicate values that i needed from the last record (as per the requirement for the first visualization).

Seecond Part : To solve the problem of duplicate column values in the first visualiztion, in the visualization process, i made a new calculated field which was just an average of each column value (this was done for the new columns having duplicate values). This correction gave me the values to build metrics for the first visualization card and when i drilled down to build the second visualization, i still had the original data for the entire time period.

To visualize further, In the spread sheet attached the original columns for the two visulaization were;

After ETL process, here are the new duplicate columns for each row

Here is the sample snapshot of State of Arkansas, where each row in orange is having the last value in the dataset (i.e. from the 3rd May for the state of Arkansas).

In building out the first visualization metrics, i will use the orange columns, but (remember) you will have to average or min or max the duplicate column to get the actual value you need in the first visulaization.

That way all the original columns for the entire time period will be available to you in the drill down path visualization without any filter to build the second visulaztion.

If there are multiple visualizations that are needed to be build, then you will have to repeat the process of creating redundant orange colored columns with duplicated values to send the original dataset columns one step down in the drill path.

Thanks

Salman Ahmed