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The GTD, maintained by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) at the University of Maryland, provides detailed information on terrorist attacks worldwide.
The GTD is downloadable as a CSV file from the START Center. Engineers use `pandas.read_csv()` with encoding handling for the large file (~230,000 incidents). `geopandas` spatial joins add administrative boundaries, enabling choropleth mapping of regional terrorism intensity.
The Global Terrorism Database trains AI risk assessment models that predict attack likelihood from regional indicators. RAG systems built on GTD data enable AI security analysts to query 'What attack tactics has ISIS used in Western Europe?' with verified historical incident data.
# pip install pandas
import pandas as pd
# Download globalterrorismdb_0522dist.xlsx from START center first
df = pd.read_excel("globalterrorismdb_0522dist.xlsx", engine="openpyxl",
usecols=["iyear", "country_txt", "attacktype1_txt", "nkill"])
annual = df.groupby("iyear").agg(incidents=("iyear", "count"), fatalities=("nkill", "sum"))
print(annual.tail(10))Official dataset source
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