The aim for my visualisation project was to create a unique way to present the statistics of NBA players, in particularly, who would win the MVP award?
This idea came about when my partner, Alejo Rodrigues and myself were discussing basketball. It was at this point that I realised I had nowhere near as much knowledge as him in the subject, and just through looking through the statistics, I realised that I was so lost, and that it all looked like a massive case of mumbo jumbo to me. I mean c’mon check out the statistics for the NBA players here, how complicated does it look? There’s a whole bunch of different terms and everything, how are you meant to work out what is important?
Anyway, Alejo on the other hand looked like he was in his element, happily stating which type of statistic
was important, and which wasn’t. So then, we decided to carefully select a bunch of statistics, that were in Alejo’s opinion important to the game, and through this we were going to find out the top 10 players in the NBA and then rank them from 1 (most likely to win MVP) to 10 (least likely to win MVP). So in a way, our visualisation is all about carefully selecting statistics to help make a prediction.
So, these are the statistics that we have found:
Player Ppg FG%
Apg Rpg Spg Bpg
Leborn James 27.1 0.531 6.9 7.2 1.8 0.8
Kevin Durant 28 0.496 2.8 6.6 1.3 1.2
Kobe Bryant 27.9 0.43 4.7 5.3 1.2 0.3
Chris Paul 18.8 0.478 9.8 3.5 2.4 0.1
Tony Parker 18.3 0.48 7.7 2.9 1 0.1
Kevin Love 26 0.448 2 13.3 0.8 0.5
Rajon Rondo 11.9 0.448 8.1 4.8 1.9 0.1
Russel Westbroke 23.6 0.457 5.5 4.6 1.7 0.3
Dwayne Wade 22.1 0.497 4.6 4.8 1.7 1.3
Dwight Howard 20.6 0.573 1.9 14.5 1.5 2.2
Oh and don’t forget to stay tuned to see how we will put this together in our visualisation presentation(s), I’m actually really excited about it! 🙂