Walker Bagley and Eamon Tracey examine the demographics of olympians over the years by visualizing data from the UN and Olympic Committee through Python.
Notre Dame freshmen and Keenan Knights Walker Bagley and Eamon Tracey collected data on countries' Winter and Summer Olympics success, determined by number and type of medals won. Then, they compared and analyzed Olympic success against countries' populations, GDPs per capita, and average temperatures to discover correlations. They provide their data visualizations below.
The dataset containing 134,732 entries is what we used to tally, examine, and explore the number of medals for each country for any given Olympic Games since 1896. It contains information for the country of each athlete, their event, medal, year, and season for the competition, as well as a spreadsheet of country codes to match up with each olympian.
LinkThe dataset contains entries for each of 193 countries (see dataset for list) of each country's population since 1960.
LinkLike the country populations dataset, this one conatins entries for each of the same 193 countries on each country's GDP per capita since 1960.
LinkThe dataset contains the average temperature in Celcius for each country between 2000 and 2013.
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The data above provide various insights:
Below is a collection of all-time Olympic medal data visualizations separated by medal type (gold, silver, bronze) and season (summer, winter). All colors are presented on a logarithmic scale to prevent outlier domination.