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Here you can checkout the visualizations I made when analysing the `Global Terrorism Database`.
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For more information on how the plot where made.
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For an in depth explanation of how the data is categorized see the [database manual](http://start.umd.edu/gtd/downloads/Codebook.pdf).
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#### Assumptions
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Certain assumptions were made about the data.
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* I only use data from `2007` to `2017`.
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* I only consider attacks that are definitely terrorist attacks.
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* For attacks with an unknown number of fatalities I assume no one died.
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This means that these visuals should be treated as lower bounds on the actual numbers.
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## Deaths by type of attack
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On the chart below we see timeseries of fatalities split by type of `attack` for the entire ten year period of the data. Note how there is a surge in deaths around and after `2014`.
The second plot in the gallery shows the number of attacks by weapon type and region. As can be seen `explosives` a by far the most popular weapon type. Also note that categories `fake weapons`, `biological` and `radiological` have been left out of the plot due to the scarcity of such attacks.
Lastly, I present you with a map revealing the attack locations of the `five most deadly` terrorist groups. Each dot represents an attack and each attack is colour coded by group.
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