I guess that rules out population based stuff.Yellow's the least?

I guess that rules out population based stuff.Yellow's the least?
The most. I have added the colour scale.Yellow's the least?
Neither, both, sort of?Is it economic or culturally based?
No.Absolute number of people in some profession? (doubt it, tbh)
Country pop_rank
Luxembourg 6
Chile 5
Greece 4
Tunisia 3
Iran 2
Portugal 1
It is probably closer to the last map than either of these 2 words, but not that close at all.Is it economic or culturally based?
Very much to do with the practice of science, and many of these counts will be generated by students, but it is not related to a scientific order or specifically science education. I expect North Korea should have a significant value, but theirs is probably being reported with China.I would have said number of students, but can't be (due to a couple of issues with other countries).
Is it about some scientific order?
Alternatively: para-education (as in study-centers and tutors)
Alternatively #2: plastic surgery or beauty-related (relatively low position of Unbest Korea and Italy deterred me)
No, nothing to do with qualifications.PHD holders would also be a decent bet, I think.
IIRC Portugal has a small (relatively) percentage of its population with university education, but maybe either virtually of those go on to MA or PHD, OR (something I once read somewhere) in Portugal any uni degree gives you the title of "Doctor".
No. Science in general, not any particular field.Robotics seminars are quite popular here. Can't think of any other guess![]()
No, but that somewhat closer. Forget the "fi" bit though.Publications of scifi books![]()
One of the clues I was going to give were different people who may consider this positive or negative (this is all my supposition, as far as I am aware none of these people have expressed an opinion):I see. So, is this a negative trait? :/
Closer, but not quite.The list of people screams "open source" or "free software". (well, not Galileo)
Given that Iran is high, and embargoed, that would also fit.
> head(df[order(-df$Value),])
Country Value by_pop pop_rank total_rank
42 China 4450000 0.003328876 113 177
99 India 3410000 0.002928259 108 176
103 Iran 2630000 0.039606554 176 175
184 Russia 1520000 0.010864185 155 174
227 United States 1150000 0.003665802 119 173
33 Brazil 1020000 0.005140101 131 172
> head(df[order(-df$by_pop),])
Country Value by_pop pop_rank total_rank
178 Portugal 430000 0.04059807 177 164
103 Iran 2630000 0.03960655 176 175
220 Tunisia 330000 0.03238423 175 154
85 Greece 280000 0.02658476 174 151
41 Chile 420000 0.02563568 173 162
131 Luxembourg 10000 0.02431600 172 99
> head(df[order(df$Value),])
Country Value by_pop pop_rank total_rank
129 Lesotho 2 9.386062e-07 4 1
212 Chad 3 2.904385e-07 1 2
235 Vanuatu 3 1.372878e-05 11 2
19 Burundi 5 5.562917e-07 2 5
79 Guernsey 5 7.285125e-05 27 5
195 Sierra Leone 5 7.763911e-07 3 5
And to give this context:This data is from 6 months in 2016, and I was probably responsible for about 1 10,000th of the UK value.
> df[df$Country == "United Kingdom",]
Country Value by_pop pop_rank total_rank
77 United Kingdom 210000 0.003511484 115 149