This choropleth map shows the GDP per capita of each country from one of our CSV files. The colors are on a scale from dark to light, with the lighter colors symbolizing a higher GDP per capita. The visualization is interactive, as you can zoom in and move the map. When you hover your cursor over a highlighted country, you can see their country code and specific GDP per capita. Not every country has a color because we did not cover every country in our CSV file. It is interesting to note that European countries typically had higher GDPs, while the African countries and countries in the Americas had lower GDPs.

This graph is a scatter plot that represents the relationship between the unemployment rate and the number of World Cup wins in the past six tournaments for France, Belgium, Croatia, and the United Kingdom. Although the full graph does not represent a correlation, if the user clicks on France and Croatia on the right of the graph and removes these points from the graph, a clear negative correlation between the unemployment rate and the number of wins can be seen for the United Kingdom and Belgium. However, if the user looks at France and Croatia scatterplot, this correlation is not as direct. This may indicate that the performance of countries with higher unemployment rates, such as France and Croatia, is not as affected by unemployment rates as lower unemployment rates (as seen in the steep negative correlation in the United Kingdom/Belgium graph). Surprisingly, France's unemployment rate the number of wins in the world cup is positive, which may indicate that countries can perform better with higher unemployment rates but more data would need to be collected to further explain this unique relationship

This scatter plot shows the relationship between a country’s GDP per capita and the number of goals they scored in the 2018 World Cup. Each point is a different country, with GDP being plotted on the x-axis and the number of goals plotted on the y-axis. Note that the points are a different size, and this is because the size is based on each nation’s GDP. The scatter plot is interactive, as hovering over a specific point brings up the name of the country, as well as their GDP and number of goals scored. The highest scoring countries (ie. France, England, and Belgium) had GDPs that were near the middle of the pack, while somewhat ironically, the countries with the highest GDPs (ie. Switzerland and Iceland) scored a low number of goals. The countries with low GDPs had a wide range of goals scored.