Thanks for all the suggestions in Part 1. Time to make some progress.
The main decision I needed to make at the end of Part 1, is which numbers to use control the area of each Hugo “country”. I wanted to include all the current categories and that pushes me towards using 2020 stats rather than an average of several years. It is also the quickest way of getting the data but also means if I chose to, I could make bubble charts for several years to show changes.
The next decision is which numbers to use for bubble size in the chart. Nomination votes and final votes are a bit too similar. The number of nominees at the nomination stage is an interesting figure though and oft overlooked. It has some correlation with final votes but with a lot of variation. Here’s a scattergram to show what I mean.
That’s good because if the two numbers are too correlated you end up showing the same information twice. Instead, we have two different measures of popularity/significance. For example, which is the bigger deal with the Hugo Awards: best novel or best short story? Novel is the one that gets the headlines but the variety of stories nominated for short is bigger! Number of nominees is the size of the field and that feels like a nice match for territory.
Here’s a new version of the bubble graph with bubble size now linked to number of nominees.
I’ve manually adjusted X-Y coordinates to space them out. The numbers used are really just to put the categories first into four quadrants but not to carry much meaning beyond that. The chart would be easier to read if I spaced the bubble out more but I actually want them closer than this to create a landmass. To do this I’m going to export the image as an SVG then edit in a vector graphics program (MacOS Graphic).
Here is the bubble graph again after replacing the labels and some manual tweaks of position.
It feels a shame that Graphic Story is so far from Pro Artist and that Editor Long is so far from Novel. I can’t avoid choices like that though.
Now to add some squiggly boundaries to make it look more like an island and less like a balloon poodle.
Next time: we have a map and now we can colour it in!