Vahaduo calcs vol.2

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Originally Posted by Dunai

This is a logical split of Italians. Did you also make weighed averages, because for instance Piedmont Italians number 4.2 millions, while Swiss Italians are 700.000, so tehnically the Piedmont average should have a much higher weigh within North-Alpine average than Swiss Italians?

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A large percentage of that population is made up of immigrants from southern Italy, other European and non-European countries.

It's fine, these are just proxies anyway. For really detailed breakdown there is smaller regions sheet.

You could update the Gagauz average for both sheets while we are at it. Not much has changed, I've just received one more sample.

Gagauz_Moldova,19.27,23.03,18.01,12.99,21.11,2.46, 0.70,0.41,0.88,0.37,0.49,0.22,0.06

I don't know if you want to do an average for the smaller regions sheet out of only 3 Bulgarians, but if you do here's the average:

Bulgarian_Moldova,22.16,20.14,18.01,13.21,20.12,3. 13,1.58,0.27,0.85,0.27,0.20,0.00,0.08

Another one I'd consider for the smaller regions are Romanians from Ukraine (Northern Bukovina). Average of only 3:

Romanian_Ukraine,25.37,33.29,12.72,10.48,12.73,1.6 3,0.47,0.89,1.07,0.61,0.28,0.26,0.20

I updated the Gagauz and agree Bulgarian_Moldova and Romanian_Ukraine can be added to smaller regions sheet.

For Creoda small regions sheet:

Code:

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Swiss_German_North,41.81,20.86,17.80,8.11,9.32,0.81,0.25,0.00,0.21,0.00,0.68,0.11,0.02

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These samples are all from northern part of Swiss German area so I'd keep regular Swiss_German average for now as well.

Edit: I can add myself, I also have some updates for German/Austrian averages :D

I updated:

Salzburg-Upper Austria
East Prussia Masuria
Farther Pomerania
Schleswig Holstein
Rhineland Palatinate

Does French_South in K13 mean the average of Occitania, Aquitaine and Provence?

Quote:

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Originally Posted by Stearsolina

I updated the Gagauz and agree Bulgarian_Moldova and Romanian_Ukraine can be added to smaller regions sheet.

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Let's also do these changes in the "Smaller regions" sheet:

• Please remove Romanian_Wallachia since Romanian_Muntenia is enough
• Remove Romanian_North-Moldavia
• Rename Romanian_South-Moldavia to Romanian_Moldavia_South
• Add these two coordinates that represent averages for Suceava-Botosani counties (n=72) and Iasi-Neamt respectively (n=67)

Code:

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Romanian_Moldavia_North,25.79,32.07,14.53,8.69,13.44,1.39,0.78,0.52,1.48,0.53,0.44,0.21,0.13
Romanian_Moldavia_Central,24.03,29.33,15.97,9.67,15.00,1.98,0.89,0.59,1.18,0.59,0.50,0.15,0.12

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Quote:

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Originally Posted by Ion Basescul

You could update the Gagauz average for both sheets while we are at it. Not much has changed, I've just received one more sample.

Gagauz_Moldova,19.27,23.03,18.01,12.99,21.11,2.46, 0.70,0.41,0.88,0.37,0.49,0.22,0.06

I don't know if you want to do an average for the smaller regions sheet out of only 3 Bulgarians, but if you do here's the average:

Bulgarian_Moldova,22.16,20.14,18.01,13.21,20.12,3. 13,1.58,0.27,0.85,0.27,0.20,0.00,0.08

Another one I'd consider for the smaller regions are Romanians from Ukraine (Northern Bukovina). Average of only 3:

Romanian_Ukraine,25.37,33.29,12.72,10.48,12.73,1.6 3,0.47,0.89,1.07,0.61,0.28,0.26,0.20

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Quote:

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Originally Posted by Ion Basescul

Let's also do these changes in the "Smaller regions" sheet:

• Please remove Romanian_Wallachia since Romanian_Muntenia is enough
• Remove Romanian_North-Moldavia
• Rename Romanian_South-Moldavia to Romanian_Moldavia_South
• Add these two coordinates that represent averages for Suceava-Botosani counties (n=72) and Iasi-Neamt respectively (n=67)

Code:

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Romanian_Moldavia_North,25.79,32.07,14.53,8.69,13.44,1.39,0.78,0.52,1.48,0.53,0.44,0.21,0.13
Romanian_Moldavia_Central,24.03,29.33,15.97,9.67,15.00,1.98,0.89,0.59,1.18,0.59,0.50,0.15,0.12

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Done.

Personally I think we should be aiming for averages of 8+ samples minimum.

Quote:

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Originally Posted by Creoda

Done.

Personally I think we should be aiming for averages of 8+ samples minimum.

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For quite a few ethnic groups and regions even 5-7 samples is a decent number. You are interested almost entirely in Western Europe, as I have noticed. And luckily for you, that region has the most samples by and large. I mean you can find dozens of samples from Wales, Flanders or Alabama while much bigger countries outside said regions are sometimes severely underrepresented.