So for this assignment we were asked to play with our own .csv files to create a data visualization inside a map using Mapbox.  Thus, Hadar and I decided to compare two datasets: the gini index of each country with its deaths by firearms.

Gini index or Gini coefficient is is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation’s residents, and is the most commonly used measurement of inequality. Death by firearms is identified as the number of deaths caused by the use of firearms during an year in that specific country. By collecting these data I aimed to analyze how does income inequality relates to violence rate.

You can check the map here.

The blue circles are the gini index (the bigger the gini index, the more social inequality), and the red circles represent the deaths by firearms.

According to this map it doesn’t become clear if there is a connection between these two datasets. I believe we have to map the values better and to add the actual number of the datasets when the user hove some of the circles. Also, there are some circles that are too big and are covering some of the countries, which makes it hard to identify.

Besides, the datasets we used to collect this data are not very reliable. First, they didn’t include all country’s in in and second, the data is not correspondent from the same year.

Still, even though this map needs iteration, this was a very interesting experiment.

Sources:

https://data.humdata.org/dataset/gini_index

https://en.wikipedia.org/wiki/List_of_countries_by_firearm-related_death_rate

 

 

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