University Points

Academia R

How do entry level points vary by university. And a chance to play with geomtextpath.

Eugene https://fizzics.netliffy.app
2021-12-15

We looked at university choices last week, and the way in which different third level courses have different entry requirements. Using the same data, I thought it might be fun to see which were the most sought after universities. It’s also an excuse to play with geomtextpath, a package I haven’t used before but that looks like it has some nifty features for ggplot2 work.

We get the data as in the university choices post.

This gives a data frame something like this:

z %>% filter(college %in% c("TR", "TU", "MH")) %>% 
  ggplot(aes(x = final, colour = name)) +
  geom_textpath(aes(label = name), stat = "density",
                size = 12, fontface = 2, hjust = 0.2, vjust = 0.3,
                show.legend = F, linewidth = 2, family = "Fuzzy Bubbles") +
  scale_color_okabe_ito() +
  theme_clean() +
  theme(axis.title.y = element_blank(),
        axis.text.y = element_blank()) +
  coord_cartesian(xlim = c(200, 700))

Looks like a clear pecking order, with Trinity College Dublin top of the pile, colleges like Maynooth University in the middle, and the newer colleges like Technological University Dublin catching up.

Corrections

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/eugene100hickey/fizzics, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

Eugene (2021, Dec. 15). Euge: University Points. Retrieved from https://www.fizzics.ie/posts/2021-12-15-university-points/

BibTeX citation

@misc{eugene2021university,
  author = {Eugene, },
  title = {Euge: University Points},
  url = {https://www.fizzics.ie/posts/2021-12-15-university-points/},
  year = {2021}
}