Decoding Olympic Success: A Data-Driven Dashboard

An Interactive Data Exploration

1. Initial Data Exploration & EDA

Getting a feel for the dataset with high-level overviews.

Medal Distribution

Most participations don't result in a medal.

Gender Distribution

Historical participation by gender.

Top 10 Countries by Medals

Identifying the historical powerhouses.

Athlete Participation Over Time (Summer)

The growth of the Olympic Games since 1896.

Athlete Age Distribution

Most athletes compete in their early to mid-20s.

2. Hypothesis Testing: Key Findings

H1: The Physique of a Champion

Result: CONFIRMED. Medalists are, on average, taller.

H2: The Age Paradox in Gymnastics

Result: DISPROVED. Medalists are slightly older, valuing experience.

H3: Economic Power and the Podium

Result: CONFIRMED. Higher GDP correlates strongly with medal count.

H4: The Globalization of Sport

Result: CONFIRMED. Emerging regions are diversifying their success.

3. Deeper Analysis with Custom Metrics

BMI vs. Medal Won

Exploring body mass index and success.

Sport-Specific Deep Dive: Basketball

Height is a significant factor for medalists.