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02-02-2026 19:20 PM
This comprehensive Power BI dashboard provides a deep-dive analysis of the Modern Olympic Games, spanning from the inaugural 1896 Athens Games to 2022. Designed with a premium, executive-level aesthetic, the report balances high-level historical trends with granular athlete performance data to tell the story of sporting greatness.
Immersive Landing Page: A high-impact entry point featuring a dynamic podium of the all-time top three nations (USA, China, and UK) to immediately establish the competitive context.
Global Leaderboard (Countries): An interactive map and regional breakdown allowing users to explore "Continental Power" and national medal hauls through intuitive cross-filtering.
Legends Gallery (Athletes): A dedicated search-and-discovery experience featuring "Athlete Bio Cards" and performance metrics for history’s most decorated Olympians.
Advanced Filtering: Global slicers for Season (Summer/Winter), Games Year, and specific Sports allow for a highly personalized data exploration experience.
The dashboard utilizes a "Midnight Navy" and "Olympic Gold" color palette to evoke a sense of prestige and history. By adhering to strict UX principles, such as the F-pattern layout for quick scanning, the report ensures that complex historical data remains accessible and engaging for both analysts and casual fans.
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The report looks good overall.
However, the data in Tab 3 is incorrect.
It seems you used a table that is not loaded into the dataset (athlete medals).
For example, Michael Phelps is shown with 16 medals, when he actually has 28, same with others.
I only noticed this issue in that specific table.
Thank you for the feedback!
You've actually spotted a classic data granularity issue in the source dataset. After a deep dive into the result_athletes bridge table, I discovered that it primarily maps individual events to athletes, but it is missing the many-to-many relationships for relay/team events.