The built in BinByEvenDistribution() function creates a binned column where each bin has the same number of unique values as the others. At times, it is needed to have an even distribution based on row count and not unique data values. This can be accomplished by manually creating a function using the Percentile() function.

Note: For some data sets each bin might have a slightly different number of rows, if there are data points on the boundaries between bins.

case  
when [myData]<Percentile([myData],25) then "0 - " & Max([myData])
when ([myData]>=Percentile([myData],25)) and ([myData]<Percentile([myData],50)) then MIN([myData]) & " - " & Max([myData])  
when ([myData]>=Percentile([myData],50)) and ([myData]<Percentile([myData],75)) then MIN([myData]) & " - " & Max([myData])  
when [myData]>=Percentile([myData],75) then MIN([myData]) & " - " & Max([myData])
end

Note: Since this example uses 4 bins the 0, 25, 50, 75, and 100th percentiles are used in the function. If you want different bins, you would modify the percentiles in the Percentile() functions and introduce additional/fewer "when" clauses as needed to match the number of bins.

Doc: Statistical Functions > Percentile

• https://docs.tibco.com/pub/sfire-analyst/7.11.1/doc/html/en-US/TIB_sfire-analyst_UsersGuide/index.htm