Guess the Map 12: Or, How I Learned to Stop Worrying and Hate Mercator

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Absolute number of people in some profession? (doubt it, tbh)
No.

I am going to bed in a bit. First clue soon or in the morning?
 
OK, so you are getting a clue whether you like it or not. The same value, but divided by population, mostly because it has an interesting set of countries at the top. These are the top 6 countries:

Code:
       Country pop_rank
    Luxembourg        6
         Chile        5
        Greece        4
       Tunisia        3
          Iran        2
      Portugal        1

by_pop-png.575693

And so the original is at the top of this page:
first_go-png.575685
 

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This data is from 6 months in 2016, and I was probably responsible for about 1 10,000th of the UK value.
Is it economic or culturally based?
It is probably closer to the last map than either of these 2 words, but not that close at all.
 
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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)
 
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)
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.
 
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 all 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".
 
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, nothing to do with qualifications.
 
Robotics seminars are quite popular here. Can't think of any other guess :)
No. Science in general, not any particular field.
 
I see. So, is this a negative trait? :/
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):

Positive:
  • Richard Stallman
  • 2020 Bill Gates (?)
  • Me
  • Galileo
Negative:
  • 1990's Bill Gates
  • RIAA
  • Bill Bar
 
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That doesn't help me. Of those I only know Galileo, and I am not familiar with Gates enough to get anything out of that.
And who are you? :)

Anyway, certainly it is time for others to take a shot!
 
The list of people screams "open source" or "free software". (well, not Galileo)
Given that Iran is high, and embargoed, that would also fit.
Closer, but not quite.
 
Some actual numbers be any help (least significant digits changed to zero, so rounded down, to avoid google answering the question)?

Countries with highest absolute value:
Code:
> head(df[order(-df$Value),])
          Country   Value      by_pop pop_rank total_rank
42          China 4450000 0.003328876      113        177
99          India 3410000 0.002928259      108        176
103          Iran 2630000 0.039606554      176        175
184        Russia 1520000 0.010864185      155        174
227 United States 1150000 0.003665802      119        173
33         Brazil 1020000 0.005140101      131        172
Countries with highest value per capita:
Code:
> head(df[order(-df$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
Countries with lowest absolute value:
Code:
> head(df[order(df$Value),])
         Country Value       by_pop pop_rank total_rank
129      Lesotho     2 9.386062e-07        4          1
212         Chad     3 2.904385e-07        1          2
235      Vanuatu     3 1.372878e-05       11          2
19       Burundi     5 5.562917e-07        2          5
79      Guernsey     5 7.285125e-05       27          5
195 Sierra Leone     5 7.763911e-07        3          5
This data is from 6 months in 2016, and I was probably responsible for about 1 10,000th of the UK value.
And to give this context:
Code:
> df[df$Country == "United Kingdom",]
          Country  Value      by_pop pop_rank total_rank
77 United Kingdom 210000 0.003511484      115        149
 
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