For this group, our project was an analytics visualization tool for a basketball analyst.
We called it on the ball, so the four contributors to our project where Samuel Hepner, Toby Kaufman,
Justin Salim, and Neman razdan, and this project was for ds4200. So now I'm going to be showing
you guys exactly how this tool works. So as you can see here this is our tool and our tool was
a scatter plot that showed the distribution of different players of the NBA selecting two
statistics. So as you can see here I can change the different statistics on the X and Y axis and
then it'll generate charts for each individual player. So an example here would be field goals
made on the x-axis and games played on the y-axis and as you can see if you generated a chart
usually the people with more games played also made more field goals. As you can see and so
let's look if you select any player over here you see Jason Tatum made 616 field goals and
played 67 games as a specific example, And you can see what percentile they're also in.
So as an addition to that the histogram on each axis also represents the distribution of each
player's for each statistic, and the legend Also may hide some players as a disclaimer,
but this is just how our visualization tool works.
And I think there's a really interesting cool tool that you guys could also use.