Our inspiration comes from the recent wave of disasters due to climate change

It lets you choose a location/country and it displays the most common disaster and how many happened in the records

We used Python, Javascript, HTML, and CSS

Time constraints and merging the front-end and back-end of the project

We are proud of being able to efficiently parse through the Excel file to get the data we need

We need to do more planning

lists of more disasters

GADM (2018). Database of Global Administrative Areas, Version 3.6. Gleditsch, K. S. and M. D. Ward (1999). A revised list of independent states since the congress of Vienna. International Interactions 25 (4), 393–413. Guha-Sapir, D., R. Below, and P. Hoyois (2014). EM-DAT: International disaster database. Centre for Research on the Epidemiology of Disasters (CRED)