Analyzing income inequality in South Asia through interactive data visualizations
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BRAC University
Citation
Abstract
In South Asia, where socioeconomic gaps have frequently been widened rather than
addressed by fast economic expansion, income inequality is still a major problem.
Static charts and technical reports are two examples of traditional means of presenting
inequality statistics, and they often fall short in explaining the wide-ranging,
demographic, and region-specific subtleties of inequality to non-experts and local
officials. By creating, refining, and testing an interactive data visualization tool that
converts intricate inequality indicators into understandable, captivating, and useful
visual narratives, our study fills this communication gap. This study incorporates
indices of economic, educational, gender, and digital inclusion across South Asian
nations, using data from the World Bank, UNDP, national government websites, and
gender-disaggregated databases. Utilizing visualization technologies like Tableau
and Streamlit and Python libraries like Pandas, Plotly, and GeoPandas, the project
delivers an interactive dashboard with real-time, multi-dimensional filtering and comparative
analysis capabilities of wide-ranging datasets. Choropleth maps, time series
graphs, and dynamic bar charts are some of the visualizations used to display both
temporal and spatial shifts in inequality. According to user testing with journalists,
students and development professionals, the benefits of interactive visual storytelling
greatly enhance the understanding, engagement and memory of inequality statistics,
especially for non-technical and novice audiences. Additionally, data literacy and
public discussion is enabled by design features such as mounting narrative on maps,
geographical filtering and simplicity. This study comes to the conclusion that data
visualization is a potent instrument for altering the method with which the public
interacts with social and economic facts. Most importantly, this gives a repeatable
paradigm for data-driven policy support, public awareness, and inclusive governance
in South Asia.
Description
Cataloged from PDF version of project report.
Includes bibliographical references (pages 88-89).
This project report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026.
Includes bibliographical references (pages 88-89).
This project report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026.
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Type
Project Report