Overview
During Information Visualization course at Pitt, I worked on a final project where I visualized the data of paper citation counts of top Pathology papers across the World in the form of bubble map, bubble chart and circular bar plot (shown in the pdf doc above). The main purpose of this project corresponds to discover which part of the world does the most number of citations of papers arise from and which city exactly has engendered these many citations over the past 36 years (1985-2021).
Tech Stack
- I have created the visualizations using a web based interactive computing platform - Jupyter Notebook. I collected raw datasets of citation counts of the Pathology papers from Microsoft Academic Graph (MAG) Dataset with the help of a USQL script written on Microsoft Azure Portal (MAP).
- Visualized this data with the help of several figures such as bubble maps and and circular bar-plots using Plotly and Matplotlib library packages in Python/Jupyter notebook.
Timeline
October to December 2021 (2 months)