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ESTD Year: 2017 | Impact Factor (2026): 8.7
DOI Prefix: 10.47001/IRJIET
ESTD Year: 2017 | Impact Factor (2026): 8.7
DOI Prefix: 10.47001/IRJIET
Vol 10 No 6 (2026): Volume 10, Issue 6, June 2026 | Pages: 60-70
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 08-06-2026
The World Economy Dataset is a comprehensive collection of economic indicators that provides insights into the financial and developmental status of countries across the globe. The dataset includes key variables such as Gross Domestic Product (GDP), population, inflation rate, unemployment rate, income level, and regional classifications. The primary objective of analyzing this dataset is to understand global economic trends, compare the economic performance of different countries, and identify factors that influence economic growth and stability.
Using data visualization and analytical techniques, the dataset enables the examination of relationships between various economic indicators and highlights regional disparities in economic development. Visualizations such as bar charts, donut charts, maps, line graphs, and highlight tables help present complex economic information in an understandable and interactive manner. The analysis reveals the contribution of different regions to the global economy, the impact of population on economic output, and the role of inflation and unemployment in shaping economic performance.
This project demonstrates how data analytics and visualization tools can be used to transform raw economic data into meaningful insights that support decision-making and economic research. The findings provide valuable information for policymakers, researchers, businesses, and students seeking to understand global economic conditions and emerging trends. Overall, the World Economy Dataset serves as an effective resource for exploring economic patterns, comparing countries, and gaining a deeper understanding of the world economy.
World Economy Dataset, Global Economic Analysis, Economic Indicators, Gross Domestic Product (GDP), Population Analysis, Inflation Rate, Unemployment Rate, Economic Growth, Economic Stability, Data Analytics, Data Visualization, Comparative Economic Study.
Karthikeya Podicheti, Rajesh Banoth, Sai Mithil Pasnoori, & Diana Moses. (2026). World Economy Data Visualization in Tableau. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(6), 60-70. Article DOI https://doi.org/10.47001/IRJIET/2026.106006
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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