[OC] Operation Epic Fury / Roaring Lion — Every sourced US-Israel vs Iran strike animated day-by-day (Feb 28 – Mar 5, 2026 UTC) Comparison

March 5, 2026
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By Alex Cartwright
[OC] Operation Epic Fury / Roaring Lion — Every sourced US-Israel vs Iran
strike animated day-by-day (Feb 28 – Mar 5, 2026 UTC) Comparison
Click to enlarge

Data Analysis

What This Visualization Shows

This data visualization displays "[OC] Operation Epic Fury / Roaring Lion — Every sourced US-Israel vs Iran strike animated day-by-day (Feb 28 – Mar 5, 2026 UTC)" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on **Tools:** Python · GeoPandas · Matplotlib · ImageIO · Pillow

**Sources (all cross-verified):** Wikipedia · Al Jazeera · CSIS · USNI News · Naval News · The War Zone (TWZ) · Air & Space Forces Magazine · Washington Post · [war.gov](http://war.gov) · Iran International

**Key facts this viz captures that many summaries miss:**

**TWO different Iranian frigates were sunk:** \- **IRIS Jamaran** — at Chabahar pier, Day 1 (US airstrike, CENTCOM confirmed) \- **IRIS Dena** — torpedoed off Galle, Sri Lanka, Day 5 by a US submarine using a Mark 48 — first US sub kill since WWII (USNI, Al Jazeera, DoD) \- Total 20+ Iranian vessels sunk per JCS Gen. Caine

**B-2 Spirit bombers used GBU-31 2,000-lb guided bombs** — NOT the 30,000-lb GBU-57 MOP bunker busters (Air & Space Forces Mag., Reuters)

**\~180 girls were killed in the Shajareh Tayyebeh elementary school strike in Minab (Day 1)** — the largest single-incident civilian toll confirmed in the Wikipedia List of Attacks article

**Cyprus strike: CONFIRMED FALSE** — Wikipedia explicitly states the UK "later confirmed that there were NOT strikes against Cyprus"

**Israel bombed Iran's Assembly of Experts** while they were in an emergency session to elect the next supreme leader (Wikipedia)

*All stats are cumulative to end of UTC day. Conflict is ongoing — figures will continue to rise.*, which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.

The power of data visualization lies in its ability to reveal patterns, outliers, and correlations that might not be apparent in traditional tabular formats. Through careful selection of chart types, color schemes, and interactive elements, effective visualizations can communicate complex information quickly and accurately to diverse audiences.

Modern data visualization combines statistical analysis with design principles to create compelling visual stories. This interdisciplinary approach requires understanding both the underlying data and the cognitive processes involved in visual perception. The result is more effective communication of quantitative insights that can inform decision-making and drive positive change.

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

Alex Cartwright

Senior Data Visualization Expert

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

Infographic DesignData AnalysisVisual Communication
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Visualization Details

Published3/5/2026
CategoryData Analysis
TypeVisualization
Views4