**<center><font size="6"> Data-Oriented Programming Paradigms</font></center>**
**<center><font size="6"> Work Plan</font></center>**

## The Data

For our assignment, our group choosed the following dataset to explore:
[Global Terrorism Database](https://www.kaggle.com/datasets/START-UMD/gtd?datasetId=504&sortBy=voteCount).

Taking into account the prepared lecture questions, we decided to look for additional data. The problem that occured was missing information about each country (education, GDPR, population and etc) and because of that we prepared the following extra data:
- [*The World Bank Dataset*](https://data.worldbank.org/indicator)
- [*GDP: GDP per capital*](https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?view=chart)
- [*Uneployment: Unemployment, total (% of total labor force)*](https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS?view=chart)
- [*Total population*](https://data.worldbank.org/indicator/SP.POP.TOTL?view=chart)
- [*Education: Government expenditure on education, total (% of GDP)*](https://data.worldbank.org/indicator/SE.XPD.TOTL.GD.ZS?view=chart)

## The Questions
We decided to investigate what our Global Terrorism data hold as information about the causes of terrorism around the world. So we end up with the following questions:
1. Is terrorism highest in low-, medium-, or high-income countries?
The data we need is: GDP per capital and Global Terrorism Database

2. Are terrorist attacks usually aimed at big number of casulites or not? How do the characteristics of terrorist attacks differ by country? (weapon type, attack type, victim target, type, nkills, cpuntry, iyear)
The data we need is: Global Terrorism Database

3. How do education and uneployment affect the terrorism level in a conutry?
- Education
The data needed is: World Bank Education, Total Population and Global Terrorism Database
- Unemployment
The data needed is: World Bank Unemployment and Global Terrorism Database

## Divisin of work
We decided to split the work based on the given questions.
- First Question: Aleksandar Manov 12143825
- Second Question: Teodor Chakarov 12141198
- Third Question: Education - Violeta Petkova 01636660
- Third Question: Unemployment - Claudia Kößldorfer 11825357