Demographic trends in UNCA employment

On page load, the image below graphs the total number of employees at UNCA each year since 2002. By fiddling with the check boxes below the image, you can graph various subsets of employees to see how they've changed over time.

Examples

Perhaps, the easiest way to see what kinds of graphs this can generate is to click on the example links below.

Job Class:
admin faculty professional technical clerical skilled maintenance
Status:
full time part time
Gender:
male female
Race:
white black hispanic asian am indian multi-racial pacific isl unknown
Display results as: Raw numbers Proportion of ...
Job Class:
admin faculty professional technical clerical skilled maintenance
Status:
full time part time
Gender:
male female
Race:
white black hispanic asian am indian multi-racial pacific isl unknown

A little more info

All data and terminology comes from the UNCA factbooks - specifically, the table titled "Employees by Employment Status, Job Class, Sex and Race", which has appeared as Table 35 in the last several Factbooks. The categories of Job Class, Status, Gender, and Race are, of course, independent of one another; thus, at least one checkbox should be checked in each row or you've selected a group of size zero. If all checkboxes are checked, then we've selected all employees. As we uncheck checkboxes, we reduce the size of our selected set.

The "unkown" racial category here actually conflates several categories in the Factbooks, including "Unkown", "Other", "Not Reported", and "Non-resident Alien". The total number of all of these in any year is always less than 10 and usually much smaller.

When graphing raw numbers, you can click on the graph to rescale the vertical axis so that the data fits nicely on the graph. This is particularly necessary when the graph shifts entirely out of view.