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Analyzing income inequality in South Asia through interactive data visualizations

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.

Publisher Link

Type

Project Report