Visualizing Global Energy Transition using Tableau
The world's transition to renewable energy sources presents both opportunities and difficult sustainability challenges. However, important elements like carbon emissions, renewable energy capacity, and economic indicators are frequently ignored by traditional energy development. Using Tableau's features and live connections for real-time data integration, this study employs a problem-oriented, solution-driven framework that makes use of data storytelling and visualization techniques. To support well-informed decision-making for a sustainable future, our goal is to gain a thorough understanding of the global energy landscape. Significant insights are revealed by analyzing global sustainable energy trends from 2000 to 2019. The animated line graph shows a steady increase in carbon emissions and renewable energy capacity, with Brazil showing stable emissions and rising renewable energy capacity. China's consistently high GDP growth and carbon emissions are highlighted by geospatial analysis, highlighting the significance of striking a balance between environmental responsibility and economic growth. The four-orbit charts also show regional differences, with Africa trailing behind Europe in wind and bioenergy, Asia leading in solar and hydropower, and Europe in both. For legislators and corporate executives looking to make strategic choices for a more sustainable future, the insights are priceless. A well-designed data visualization gives stakeholders a variety of viewpoints on intricate global trends, which helps them create specialized plans and distribute resources efficiently. This strategy encourages greater comprehension, cooperation, and creativity in the pursuit of sustainability.
Authors
- Priyadarshini Adyasha Pattanaik (ORCID: https://orcid.org/0000-0001-5058-5471)
- Sanchit Sarhadi
- Punyisa Phumiphol
Institutions
- BSP Business & Law School – Hochschule für Management und Recht (DE)
Publication Details
- Journal
- International Journal on Engineering Artificial Intelligence Management Decision Support and Policies
- Published
- 2025-05-08
- DOI
- https://doi.org/10.63503/j.ijaimd.2025.59
- Primary Topic
- Global Energy and Sustainability Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00