For my final data visualization project, I chose to work with a data set that has all the statistics from every player that had every baseball since 1867! It was pretty tough, because there was a lot of filtering out I had to do
I decided to work with this dataset because I am really interested in baseball and math, and when you combine them together, it becomes a really interesting form of sports data and anaylsis
In my visualization, the data is represented as dots on a map, for each country, and when you hover over the country, it shows the average salary for the players born there
To interact with the visualization, try changing whether you want to see data from pitchers or non pitchers, and that changes the places of the dots, and also try looking around the map and zooming in on other places
One interesting thing I noticed during this project is that the salaries vary greatly, but the players in North America tend to have a higher salary, but something I find incredible is that the salaries are much closer together for the pitchers than they are for the pitchersÂ
Something I still wonder about is why there aren't more European baseball players
The most challenging moment of this project was when I was trying to create the dropdown menu, because the code is pretty complicated for that
If I had more time, I would like to be able to show the amount of players I used for each data point, and to have a little graph show up with the standard deviations
My proudest moment during this project was when I finally got it to work at the end, and when the dropdown menu changed the stats that were being shown