What I Found Interesting:
So, there are several things that I observed while creating the visualizations:
The first thing is that, while it's expected that cholera makes no distinctions between male and female, it was very interesting to me how the trends for the percentages of females and males that contracted cholera per age group were nearly identical.
So, this just means that the age-range has a lot more to do with it.
The percentage of young children, a group of people that tend to have a high mortality rate, did not have a huge percentage of their demographic affected by cholera, especially compared with older people. This can be because of the diet of young infants, such as 0-1 year olds breastfeeding.
There was an interesting dip for both men and women in this data, happening around the 11-20 range. For some reason, these ages had the least amount of their population in Naples affected by the cholera outbreak.
However, this could just be because people at this age have stronger immune systems than the much older or younger, or their lifestyles have them more out-and-about than remaining and drinking water always near their homes. They would be more likely to walk for further water sources, perhaps.
Another things that I found interesting about the data presented was how, while most of the deaths were concentrated around the water pump at the center of this map, there were some areas with a significant amount of deaths that are not as close to the center.
There are several reasons, I think, for this discrepancy, One, it could be that because these bigger death counts on the periphery seem to be close to other water pumps, which may also be affected with cholera. There could also be the possibility that people went out of their way to get the water from the water pump at the center.
Another thing that I find interesting is how, after a certain point (around Sep. 12th), there was more cumulative deaths than there were attacks of cholera. This is especially because I can see that the trend of deaths follows the trend of attacks very similarly.
It could be that the data also contains deaths that were due to some other reason than cholera.
It could also be due to cholera causing a really sudden death such that the attack of cholera wouldn't have been recorded before the death.