Analysing the Iran–Israel–U.S. Conflict with Datastam.ai

By abhishek.verma75000 · July 29, 2026

Every global conflict generates vast amounts of data but turning that data into meaningful insights is the real challenge. Using Datastam.ai, I analysed…

A bar chart and data table have been generated showing how average Risk Score varies across different Category segments, with categories ranked from highest to lowest risk.

The analysis identified the scenarios with the highest combined Risk Score and Impact Level, shown in a horizontal bar chart ranking the top 10 Scenario-Topic combinations. The chart uses color coding (red for High, orange for Medium, green for Low impact) so you can quickly see which scenarios carry both the highest risk scores and the most severe impact levels.

The topics demanding the most immediate strategic attention are 'Strait of Hormuz' and 'Regional War', both with the highest possible Risk Score of 10. These are followed closely by 'Conflict' and 'Nuclear Programme' (Risk Score 9), and 'Security' (Risk Score 8). In total, 6 topics scored 8 or higher, marking them as high-priority areas requiring urgent strategic response. Notably, 'Regional War' carries Very High impact across both India and Global dimensions, making it especially critical.

The Entity 'Global' shows both the highest cumulative Risk Score (28) and the broadest impact footprint (14, spanning 4 different topics), making it the standout in this analysis. Iran and Middle East follow as the next highest risk entities, each with a Risk Score of 9, though covering only 1 topic each.

The 'High' Impact Level dominates the dataset, accounting for 5 out of 9 total records. Two charts were generated to show exactly how these impact levels are distributed across different Sections and where risk concentrations are highest, helping pinpoint the areas needing the most attention.

Comparing India Impact and Global Impact across 9 entity/topic combinations shows that Global Impact tends to be rated higher on average (2.71 out of 3) than India Impact (2.29 out of 3). Six of the nine rows show differing impact levels between India and Global perspectives, while three rows match. Notably, Iran's Nuclear Programme, Israel's Security, and USA's Strategy are all rated higher globally than for India, while India's own Balanced Policy topic is rated higher domestically than globally. Two charts were created: a grouped bar chart comparing scores by entity and topic, and a distribution chart showing how many topics fall into Low, Medium, and High impact categories for each region.

A bar chart and data table were created showing how many topics are associated with each entity, along with each entity's average risk score. The chart combines bars for topic frequency with a line overlay for average risk, making it easy to compare which entities appear most often and how risky they are on average.

The analysis generated a box plot and a grouped bar chart to show how Risk Score varies across the different Section categories (like Introduction, Driver, etc.). The box plot displays the full distribution of Risk Score values for each section, including outliers, while the bar chart shows the average Risk Score per section with error bars representing the standard deviation. A summary table was also produced with the minimum, maximum, mean, and standard deviation of Risk Score for each Section.

The dataset contains 9 rows and 10 columns overall. Among the categorical columns, Topic has the most variety with 9 unique values, followed by Entity with 6, while Section, Category, and India Impact each have 5 unique values, and Impact Level, Global Impact, and Scenario each have 4. Looking at the Scenario column specifically, most rows (6 out of 9) fall under the 'Current' scenario, with the remaining three scenarios (1, 2, and 3) each represented by a single row.

The analysis ranked all rows by Risk Score from highest to lowest and compared this ranking against Impact Level and India Impact categories. Two visualizations were generated: a horizontal bar chart showing all rows ordered by Risk Score with color-coding by India Impact, and a scatter plot highlighting alignment versus mismatches between global risk ranking and India-specific impact. These charts let you visually spot any rows where a high Risk Score doesn't match up with a correspondingly high India Impact rating, making it easy to identify globally significant risks that may be under-weighted for India specifically.