Global Terrorism Database (GTD) is an open source collection of data related to terrorism for the study purpose. I have selected this project from AlmaBetter for Exploratory Data Analysis (EDA) project which is required for the fulfilling the Data Science course work.
Dataset: It was provided by the AlmaBetter team.
Project Description
The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time period and now includes more than 180,000 attacks. The database is maintained by researchers at the National Consortium for the Study of Terrorism and Responses to Terrorism (START), headquartered at the University of Maryland. Explore and analyze the data to discover key findings pertaining to terrorist activities.
Main Libraries to be used:
- Pandas for data manipulation, aggregation
- Matplotlib and Seaborn for visualisation and behaviour with respect to the target variable.
- NumPy for computationally efficient operations