Clustered Bar Chart (GPL)

Figure 1. GPL for clustered bar chart

SOURCE: s = userSource(id("Employeedata"))
DATA: jobcat=col(source(s), name("jobcat"), unit.category())
DATA: gender=col(source(s), name("gender"), unit.category())
DATA: salary=col(source(s), name("salary"))
COORD: rect(dim(1,2), cluster(3))
SCALE: linear(dim(2), include(0))
GUIDE: axis(dim(2), label("Mean Salary"))
GUIDE: axis(dim(3), label("Gender"))
ELEMENT: interval(position(summary.mean(jobcat*salary*gender)), color(jobcat))

Following is another option for creating a graph that appears clustered. It uses the dodge collision modifier. (See dodge Collision Modifier (GPL) .) Note that the difference between this and the previous example is that empty space is not allocated for missing categories (in this case, the combination of "Female" and "Custodial").

Figure 3. GPL for dodged bar chart

SOURCE: s = userSource(id("Employeedata"))
DATA: jobcat=col(source(s), name("jobcat"), unit.category())
DATA: gender=col(source(s), name("gender"), unit.category())
DATA: salary=col(source(s), name("salary"))
SCALE: linear(dim(2), include(0))
GUIDE: axis(dim(2), label("Mean Salary"))
GUIDE: axis(dim(1), label("Gender"))
ELEMENT: interval.dodge(position(summary.mean(gender*salary)), 
                        size(size."25%"), color(jobcat))