This document summarizes an analysis of the Global Terrorism Dataset which contains over 135 data fields and 181,000 entries on terrorist attacks from 1970 to 2017. Visualizations were created using Plotly to show trends in Asia and Europe by attack and target type, top ranked countries and cities, regions and weapons. Correlation heatmaps revealed relationships between variables like suicide attacks and ransom amounts paid. Histograms showed which regions and attack types were most prevalent while boxplots illustrated trends in weapon types by region. The full Jupyter notebook with the analysis is available on GitHub.