X-axis of the university rank distribution histogram is distorted. Some bars represent 25x as many universities as other bars. Ideally it’d look like a smoothed version of the previous graph
That’s true, but by design. With that particular plot, we wanted to show clear percentages for discrete categories of interest. Categories containing even numbers of universities risk (e.g. 1-100, 101-200) being uninformative for practical purposes, by combining universities with very different characteristics, while dividing others). Of course, your mileage may vary as to which categories are practically interesting.
The previous graph (below) already shows the raw distribution, but you can also look at the cumulative percentages in the next plot below (note: this cannot show the unranked universities, which, as the former plot shows, account for a decent proportion of respondents).
X-axis of the university rank distribution histogram is distorted. Some bars represent 25x as many universities as other bars. Ideally it’d look like a smoothed version of the previous graph
That’s true, but by design. With that particular plot, we wanted to show clear percentages for discrete categories of interest. Categories containing even numbers of universities risk (e.g. 1-100, 101-200) being uninformative for practical purposes, by combining universities with very different characteristics, while dividing others). Of course, your mileage may vary as to which categories are practically interesting.
The previous graph (below) already shows the raw distribution, but you can also look at the cumulative percentages in the next plot below (note: this cannot show the unranked universities, which, as the former plot shows, account for a decent proportion of respondents).