As I was reading the What is the Output? article for my class, I noticed a interesting remark there. One of their arguments were, that a lot of times people can't tell what made the do something that the example that they gave is, that when people were less social, they were spending more time bathing. Apparently, they were replacing the warmth of the social interaction to the warmth of taking a bath.
Sure, it seems far fetched, but I was interested. Is there any connection between the temperature and socialization on any of the levels: from the situational to the cultural and DNA level.
Well, I would need to make an experiment in order to show it on either DNA or situational level. Well, for the later so of them exist. I think people tend to talk more with the stranger, when they are holding a hot vs. cold drink. So there is some small indication. I have never heard of any evidence on the DNA level.
But considering that there is a lot of data comparing the countries, I figured that there must be some sort of social or something index. And considering the talk around the climate change, there must be at least some indication of the average temperature for a country.
Well, temperature was easy to find, the only thing that I needed to do was go on the Wikipedia page for List of countries by average yearly temperature. It is the average temperature for three decades, but I think that the relative order of the countries most likely did not change. So for the exploratory analysis, it works just as well.
There actually is a social index. It is just a part of the Legatum Prosperity Index, but I am just glad that one exists. I do still need to check the methodology, but I need an internet for that, and I don't think my current roommate would like to have a cable over her head. No matter how many times she tells me that it is alright.
Well, I can at least compare the countries that I know something of. A classmate of mine, when I mentioned this, said that Spain is most likely at the top. I have also lived in couple of countries: Austria, Croatia, Germany, Hungary, Slovenia and Slovakia, so there should be at least some data in regards to this. My prediction would be that Germany would be the most social, followed by Croatia, Slovenia, Slovakia, Austria, and Hungary. Not sure where to put Spain, since I am not familiar with this culture, but let for this testing put it above Germany.
The average of all countries is 50,8, so that makes Germany, Austria, Slovenia and Spain overly social, while the Croatia, Hungary and Slovakia are not that social. At least compared to the average. I am not surprised at most of these results. The Germany, Slovenia and Spain do seems to be quite social countries. Even though, asking Slovenians, I don't think any will admit to it. :) I am also not surprised that Hungary and Slovakia are less social. This is the impression that I also got.
I was a bit surprised by the Austria, because I based at least some of the reasons for placing it at the bottom from the Austrians themselves. Apparently the real Austrians are very closed-off and it is hard to get to know them. They prefer to spend time alone and need months to even start eating with other people by the same table. Since it is always finished, that these people don't speak foreign languages, I just figured that I simply never met them (my German is, after all, far from perfect). My impression on the other hand was, that they were quite social. Not as much as in Germany, but around the same as in Slovenia.
I was also a bit surprised by the Croatia, but then again, I guess that the place where my great-grandmother used to live did have a lot more Slovenian people than Croatians. So this might be the reason why I missed this one.
Well, no matter methodology, I guess I can see if there is any patterns in there. The first thing to do would be to draw a scatter plot. Not my best code, but it was a good practice writing it with no internet and manuals what so ever. I still used the help function though.
'''python import pandas import matplotlib.pyplot as pyt
temp = pandas.read_csv("Data-Temp.csv", sep="\t", index_col="country") social = pandas.read_csv("Data.csv", sep=";", index_col="country")
data = social.merge(temp, how="inner", left_index=True, right_index=True, sort=True)
social = list(data.soci2016) temp = list(data.temp)
pyt.scatter(social, temp) pyt.show() '''
Based on this picture, there does not seems to be any strong effects between these two variables. Maybe I would be able to find something statistically significant, if I would go and do some regression on it, but considering the state, it does not seems to be worth it. There must me some other element, that is much more important then the temperature.