Course data up on a tree(map)

The budget of Finland has seldom given a more lavish yet concise visualization than Talousarvio 2012 by Juuso Pääkkönen. I wanted to try something at least remotely similar with the Aalto open course data.

Treemap of Aalto courses by School and department

My map does not offer any interactive elements and doesn’t necessary tell much at the outset, so here a few words of explanation.

The big rectangles are Schools, further broken down into smaller rectangles, departments. The bigger the rectangle, the more courses there are. Why is ECON a one big block?
Course codes of BIZ aka former ECON are not mapped to the department level like is the case with all other Schools.

Courses do not reveal much numeral data like a budget but something still: ECTS credits tell about the workload of the course. In the map, credits are averaged by the department. In case ECTS is given as a range, say 1-10, I have used the upper value only.

Here, a course object can be anything from a one week seminar to a doctoral thesis.

The R code is available as a GitHub Gist.

EDIT 1: 92 courses are given ECTS 0 credits. 61% of these belong to ECON. In this exercise, I haven’t excluded these.
EDIT 2: In the map, ERI stands for Other separate courses given by other units than the Schools per se
EDIT 3: the map is incorrect, see the newer post

Posted by Tuija Sonkkila

About Tuija Sonkkila

Data Curator at Aalto University. When out of office, in the (rain)forest with binoculars and a travel zoom.
This entry was posted in Coding, Data and tagged , , , , . Bookmark the permalink.

3 Responses to Course data up on a tree(map)

  1. Tuija Sonkila says:

    It was not the sort order, but the fact that I had factorized deptCode values. Back to the drawing board… Anyway, I’ll make a new post about this, with a correct map. Thanks again for commenting.

  2. Tuija Sonkkila says:

    The color corresponds to the average value of credits of that department. But you are absolutely correct that there is something fishy going on here. The sizes are not right. They are supposed to show the amount of courses. By far the most course-rich School (if I remember right) is ARTS. I suspect that the data ought to be sorted by courses but it is not. I will check this. Thanks for not taking the plot for granted!

  3. Very illustrative visualisation. However it is not completely clear to me from the explanation whether the rectangle areas correspond to the number of _courses_ given per department or number of _ECTS_ credited per department. (E.g. I find it curious that the large introductory math, physics and cs courses given by the SCI school would really yield such a small fraction of the ECTS. But maybe this is so.)