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Chronological Outlooks of Globe Illustrated with Web-Based Visualization

Tahmim Hossain, Sai Sarath Movva, Ritika Ritika

TL;DR

The paper presents a browser-based visualization suite for global terrorism, air quality, and population dynamics built with Plotly, Plotly.js, and D3.js. It details data acquisition and preprocessing across three datasets, and describes a three-page visualization architecture linked by a central homepage, deployed on free hosting platforms to democratize access. The implementation covers distinct tech stacks per visualization, including Python/Plotly with Streamlit and a pure JavaScript Express-based server, and includes a validation survey indicating positive usability. The work highlights the value of interactive geospatial and temporal visualizations for informing policy and research, with planned future enhancements in interactivity and data scale.

Abstract

Developing visualizations with comprehensive annotations is crucial for research and educational purposes. We've been experimenting with various visualization tools like Plotly, Plotly.js, and D3.js to analyze global trends, focusing on areas such as Global Terrorism, the Global Air Quality Index (AQI), and Global Population dynamics. These visualizations help us gain insights into complex research topics, facilitating better understanding and analysis. We've created a single web homepage that links to three distinct visualization web pages, each exploring specific topics in depth. These webpages have been deployed on free cloud hosting servers such as Vercel and Render.

Chronological Outlooks of Globe Illustrated with Web-Based Visualization

TL;DR

The paper presents a browser-based visualization suite for global terrorism, air quality, and population dynamics built with Plotly, Plotly.js, and D3.js. It details data acquisition and preprocessing across three datasets, and describes a three-page visualization architecture linked by a central homepage, deployed on free hosting platforms to democratize access. The implementation covers distinct tech stacks per visualization, including Python/Plotly with Streamlit and a pure JavaScript Express-based server, and includes a validation survey indicating positive usability. The work highlights the value of interactive geospatial and temporal visualizations for informing policy and research, with planned future enhancements in interactivity and data scale.

Abstract

Developing visualizations with comprehensive annotations is crucial for research and educational purposes. We've been experimenting with various visualization tools like Plotly, Plotly.js, and D3.js to analyze global trends, focusing on areas such as Global Terrorism, the Global Air Quality Index (AQI), and Global Population dynamics. These visualizations help us gain insights into complex research topics, facilitating better understanding and analysis. We've created a single web homepage that links to three distinct visualization web pages, each exploring specific topics in depth. These webpages have been deployed on free cloud hosting servers such as Vercel and Render.
Paper Structure (15 sections, 10 figures)

This paper contains 15 sections, 10 figures.

Table of Contents

  1. Introduction
  2. Dataset
  3. Global Terrorism Dataset r4:
  4. Global Air Quality Dataset r5:
  5. Global Population Dataset r6:
  6. Methodology
  7. Technology Stack
  8. Implementation
  9. Homepage:
  10. Global Terrorism Visualizer r4:
  11. Global Air Quality Visualizer r5:
  12. Global Population Visualizer r6:
  13. Validation Survey
  14. My Contribution to this Project
  15. Conclusion & Future Work

Figures (10)

  • Figure 1: (a) Modified Global Terrorism Database (b) Modified Air Quality Index Dataset (c) Modified Global Population Dataset
  • Figure 2: Methodology of our project.
  • Figure 3: Technologies that were used behind the project.
  • Figure 4: Homepage
  • Figure 5: User Selection from Region, Country and Year and map information hovering.
  • ...and 5 more figures