[OC] Every sourced US/Israel strike + Iran retaliation location mapped — Operation Epic Fury / Roaring Lion (as of Mar 2, 2026) Visualization
![[OC] Every sourced US/Israel strike + Iran retaliation location mapped — Operation Epic Fury / Roaring Lion (as of Mar 2, 2026) Visualization](/api/images/reddit-maps/1riqgt1_1772460002275.jpg)
Data Analysis
What This Visualization Shows
This data visualization displays "[OC] Every sourced US/Israel strike + Iran retaliation location mapped — Operation Epic Fury / Roaring Lion (as of Mar 2, 2026)" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Reading Resource: https://medium.com/@interestingamerica/8ef1b1b655ce
Sources & Methodology
Strike locations are only plotted where confirmed by 2+ major outlets. Iran strikes sourced from CBS News map (Mar 1), Al Jazeera mapping article (Feb 28), Israel-Alma daily report (Mar 1), and Wikipedia's sourced compilation. Iran retaliation locations from WaPo satellite/video verification (Mar 1), Wikipedia, NBC/AJ/Time live coverage.
Casualty snapshot:
Iran: 201 killed / 747 injured (Iranian Red Crescent, Feb 28 17:30 CET) — numbers are rising Israel: ≥11 killed / ~500 wounded (JPost citing MDA + hospitals, Mar 1) US military: 3 killed / 5 seriously wounded (CENTCOM confirmed, Mar 1) UAE: 3 killed / 58 injured (UAE gov statement) Minab school: 148 killed / 95 wounded (Iranian state media; NOT independently verified per WaPo/NYT, though footage was verified) Key claims labeled as "claimed": IDF's 1,200 munitions + 40 commanders; Trump's 9 ships sunk (CENTCOM would not confirm); IRGC's 27 bases + 560 US troops (contradicts CENTCOM).
Hormuz: S&P Global/Platts confirmed tanker traffic halted Mar 1. IRGC broadcast "closed" warnings (UKMTO confirmed receiving). Iran FM says "no plan to close." Maersk/Hapag-Lloyd/CMA CGM/MSC all suspended transits. NOT a formal closure.
Tools: Python, Matplotlib, Cartopy on Google Colab.
⚠️ This is an active, rapidly evolving conflict. All numbers are preliminary snapshots. I'll update as confirmed figures change., which allows us to understand complex relationships and insights within the data through visual storytelling.
Deep Dive into the Topic
Technology data visualization provides insights into digital trends, user behavior, and system performance that drive innovation and improve user experiences. This field encompasses everything from website analytics and app usage patterns to system performance monitoring and cybersecurity threat visualization.
Digital analytics visualizations help product managers understand user journeys, identify feature adoption patterns, and optimize user interfaces. System performance dashboards enable IT professionals to monitor server health, network traffic, and application response times. Social media and web analytics reveal content engagement patterns, user demographics, and digital marketing effectiveness.
The rapid evolution of technology creates new opportunities for data visualization in emerging fields like artificial intelligence, Internet of Things (IoT), and blockchain analytics. These technologies generate vast amounts of data that require innovative visualization approaches to make them understandable and actionable. Technology data visualization not only helps manage complex systems but also enables the development of better products and services through data-driven insights.
Data Analysis and Insights
The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.
Statistical analysis of this data reveals variations across different dimensions that provide insights into underlying drivers and relationships. These patterns help identify areas of opportunity, potential risks, and key performance indicators that can guide future actions and resource allocation.
The analytical approach used in this visualization enables comparison across different categories, time periods, or geographic regions, revealing insights that support evidence-based decision-making. This type of analysis is essential for organizations seeking to optimize performance and understand complex market dynamics.
Significance and Applications
This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.
For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.
The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.
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About the Author

Alex Cartwright
Senior Data Visualization Expert
Alex Cartwright is a renowned data visualization specialist and infographic designer with over 15 years of experience in...