Shivani Manivasagan, Mehak Garg
December 2024 (CSCI 181AP Project)
This project examines trends in global refugee (asylum) applicant data from 2000 to 2020. Through data analytics & visualization using Python, we explore important temporal and geographic trends related to global refugee applications.
We create 3 informative visualizations to display key insights and patterns in the data, which help highlight changes in refugee application numbers over time, as well as important trends across regions and countries.
Note: To view the below HTML files in this repo in their rendered format, follow the link, download the files, and open them in your browser.
- Visualizations and Analysis Article (HTML) - A brief article featuring the visualizations along with an analysis of the insights and trends found in the data.
- Technical Methods Article (HTML) - An explanation of the methodology used in the project.
- Global Refugee Applicants Analysis (Jupyter Notebook) - The project's source code.
The datasets used in this analysis are located in the 'data' folder and include:
asylum-applicants.csv: Contains information about the number of asylum applicants worldwide from 2000 to 2020.asylum-decisions.csv: Contains information about asylum decisions and outcomes over the same time period.