Conditional Format column chart based on separate date table

[Ben_Cates]

Hi everyone,

I have a basic column chart with a date table on the x-axis, and values on the y.  The end user can select to view different charts using the "Ramp" slicer.  For each of the values in the Ramp field, there is a separate table consisting of a single specific Transition Date per ramp.  I'd like to colour the columns on the main chart so that if the dates are before the Transition Date, they have a different colour, resulting in each Ramp having it's own colour pattern.

Any ideas?  Appreciate any insight!

[Ben_Cates]

That worked!  Thank you so much for your expertise, @elitesmitpatel 

[elitesmitpatel]

please share dummy data or file

[Ben_Cates]

Here's a link to the dummy .pbix. And a better screenshot below of what I'm trying to achieve.

Both ramps have monthly values from January 2023 through September 2024.  Calgary has a separate transition date of May 1, 2024, so every column prior to that on the chart needs to be a different colour.  When a user slices the chart to display Edmonton, which has a transition date of July 1, 2023, the chart needs to update the formatting so that every column prior to July 1 has a different colour.

https://drive.google.com/file/d/1One0TErghoLo79Mw6CE0BV90PG8BPg4H/view?usp=sharing 

[elitesmitpatel · Accepted solution]

Hi @Ben_Cates 
Below is the solution 

Steps :
1) create a measure 

SelectedColor =

SWITCH(

    TRUE(),

    SELECTEDVALUE(Facts[Ramp]) = "Calgary" && LOOKUPVALUE(TransitionDate[Transition Date],  TransitionDate[Ramp], "Calgary") >MAX(Facts[Date]),"#ec8fca",  

    SELECTEDVALUE(Facts[Ramp]) = "Edmonton" && LOOKUPVALUE(TransitionDate[Transition Date],  TransitionDate[Ramp], "Edmonton") >MAX(Facts[Date]),"#FF0000"

)

2)  select the column chart and go to Format --> Columns --> Color --> fx

3) after clicking on fx in fromat style select field value  and below that  select the previously created measure.

add more conditions and colour accoding to your choice in measure.
Below is the file link :- 

Dummy data solved 

If you get some value Please Kudo's our effort  and Accept it as solution so other can be benefited.