Exploratory Data Analysis : Global Terrorism
Exploratory Data Analysis is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. Read more
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.
ABOUT DATA: As mentioned before this dataset contains terror activities that have taken place from 1970 to 2017. That's a 47 year period, almost 5 decades worth of Terror. The dataset contains aproximately 180,000 rows and 135 columns a.k.a attributes. The dataset has been downloaded from kaggle
Here’s a step by step outline of this project:
Download the dataset using opendatset library from Kaggle
Perform the following actions:
- Load the file using Pandas
- Look at some of the information regarding the file
- Fix any missing or incorrect values.
- Perform Univariate Analysis on some of the attributes.
- Attack type
- Target Type
- Create intersting visualisations and animations to answer Questions based on the data
How to Run the Code
You can execute the code by using the "Run" button at the top of this page and selecting "Run on Colab". You can make changes and save your own version of the notebook to Jovian by executing the following cells:
!pip install jovian --upgrade --quiet
# Execute this to save new versions of the notebook jovian.commit(project="global-terrorism")
[jovian] Detected Colab notebook... [jovian] Uploading colab notebook to Jovian... Committed successfully! https://jovian.ai/kartikaye-madhok/global-terrorism