Olympic Athletes & Medal History Dataset-2024

By shrijeetverma13 · May 17, 2026

This dataset contains historical Olympic Games data including athlete information, sports events, medals, countries, host cities, and Olympic seasons. It…

The analysis produced a grouped bar chart and data tables comparing medal counts between male and female athletes across different sports. The visualization shows how each sport's medals are distributed by gender, making it easy to spot which sports are dominated by one gender or are more balanced.

The analysis produced a stacked bar chart and data tables showing the top 10 medal-winning countries at the 2024 Olympics, broken down by gold, silver, and bronze medals. The visualization clearly displays each country's medal distribution with gold shown in yellow, silver in gray, and bronze in brown.

The analysis reveals which sports each of the top 5 Olympic countries dominates in medal count. A grouped bar chart and detailed tables were generated showing the top sports for each country. The United States leads in swimming (69 medals), athletics (50), and basketball (28). Australia also dominates swimming with 51 medals, followed by water polo and basketball. China tops in swimming (35) and diving (15). The United Kingdom excels in rowing (36) and athletics (35), while France leads in basketball (28) and judo (23).

The analysis identifies which NUTS2 regions punch above their weight in Olympic medal production relative to their population size. A horizontal bar chart has been generated showing the top 15 NUTS2 regions by medalists per million inhabitants, with color intensity indicating the total number of medalists from each region.

The 2024 Olympic medalists range in age from 16 to 59 years, with a mean age of 27.1 years and a median of 26.7 years. Two charts were generated: a histogram showing the overall age distribution with a red dashed line at the mean, and a horizontal bar chart ranking all sports by mean athlete age. Rhythmic gymnastics, diving, taekwondo, artistic gymnastics, and swimming favor the youngest athletes, while equestrian sport and eventing skew significantly older with means around 40 years.

Yes, there is a strong positive relationship between regional GDP and medalist production. Across 189 European NUTS2 regions, the Pearson correlation coefficient is 0.716, indicating that wealthier regions tend to produce significantly more Olympic medalists. Two scatter/bar charts and supporting data tables were generated to visualize this relationship.

The analysis compared countries by their gold medal efficiency — the ratio of gold medals to total medals — for all countries that won at least 5 medals. A scatter plot was generated showing total medals on the x-axis and gold ratio on the y-axis, with each country labeled by its IOC code and bubble size representing absolute gold count. This reveals which countries 'punch above their weight' in golds versus those who accumulate many medals but fewer golds.

The analysis examined 2,061 medalists with known birthplace regions. A horizontal bar chart shows the top 20 birthplace regions, with the People's Republic of China leading at 32 medalists. When cross-referencing birthplace with the country competed for, only 142 athletes (6.9%) had a matching birthplace region and competition country, while 1,919 athletes (93.1%) competed outside their birth region. Importantly, this high 'outside' percentage is largely because the birthplace column often records sub-national regions (like provinces or states), so even athletes competing for their home country appear as 'outside' when their specific region doesn't exactly match the country name.

The analysis identified the top 15 most successful athletes at the 2024 Olympics by total medal count. A horizontal stacked bar chart was created showing gold, silver, and bronze breakdowns for each athlete. Zhang Yufei (China, swimming) tops the list with 6 medals (1 gold, 1 silver, 5 bronze), followed by five athletes tied with 5 medals each: Torri Huske, Léon Marchand, Mollie O'Callaghan, Regan Smith, and Kaylee McKeown. Swimming dominates the top 15, with only Simone Biles, Rebeca Andrade, and Shinnosuke Oka representing artistic gymnastics. No athletes won medals across multiple sports in this dataset.

The analysis produced two interactive visualizations and supporting data tables showing how medals are distributed between male and female athletes across all sports. The diverging bar chart (Chart 1) displays each sport sorted by female-to-male ratio, with female percentages extending left (pink) and male percentages extending right (blue), making it easy to spot gender imbalances at a glance. The grouped bar chart (Chart 2) shows the raw medal counts side by side for each sport, ordered by total medals. The accompanying data tables provide the detailed breakdown including medal counts, percentages, and balance scores for every sport in the dataset.