A3-EbbyAmirebrahimi

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I wanted to investigate some demographic relationships, so I began by taking a look at the data on the UNdata website (data.un.org) in order to ponder questions that could be answered by the data.

I began by asking is there was any relation between contraceptive usage and abortion rates across different countries. In order to do this, I downloaded the data for contraceptive prevalence and abortion rates. I imported the data in Tableau and did a joined the data using the country names.

Here is the visualization I created: File:Abortion.pdf. There does not appear to be a any clear relation between the two.

So I went to look for other questions to answer. The next question I asked is if the poverty rate in a country has any relation to the homicide rate. Again, I did a join on the data and produced this visualization: File:Homicide.pdf. Again, no clear relationship there.

Finally, I decided to think of something a bit more direct. I asked if income per person (GDP per capita) in a country influences the number of internet users in that country? I used internet per 100 people as opposed to total internet users so that both numbers would be more of a density measure. Again, I joined the data on the countries in Tableau and created a graph. The result is as follows File:Internet.pdf. While there are so local extremes, the trend is clear: higher internet usage is associated with larger incomes per capita.

I chose to list the data by countries and then plot lines corresponding to internet usage and income. The data was sorted by income so the upward trend is clear. The internet data can then be seen to follow a similar trend, but in a more sporadic manner. This seemed to be a more clear representation that putting the two sets of data on different axes and using dots to show their relation. It also allows us to find countries which don't fit the trend to possibly investigate further.



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