Introducing the Future of Data Visualization
- Joani Radhima
- Mar 20, 2021
- 1 min read
The future is now, old man. The time has come.
https://www.youtube.com/watch?v=MDl4W3_6dqA
Yannis, Michalis, and Tryfon. The three swordsmen of the new era of data visualization have arrived at the scene. They came to chew gum and kick ass, and they are all out of gum.
The first target? Something interesting. Something familiar. We are talking about guys in their 20s, raised on PS1 and PS2. What else could it be?
It's in the game. You heard that right. We're talking FIFA.
Yeah, nothing too crazy here, our creativity is like at the very bottom. But we're hanging. We're hustling. We're pushing through.
The Data
The data consists of the attributes of all players in the past 6 FIFA versions, from 2015 to 2021. The data can be downloaded at https://www.kaggle.com/stefanoleone992/fifa-21-complete-player-dataset.
Some preliminary visualizations are presented below.
Messi with the 550K per week. Definitely deserved.
Mboopi has that big value right now. As already mentioned; the future is now, old man.
The Brits seem to be paying premium for their players, a natural consequence of the crazy TV money the Prem gets. However, we see that if you want to get rich, Barcelona and Real Madrid are your best bet.
Get that money L. Vasquez!
Serie A seems to be the old man's league; fewest young players and most old ones. Ageing like fine wine ragazzi!
There are two "clusters" of players, attacking minded and defensive minded, as can be seen from the great divide at defense ~ 50.
Hey guys! Nice topic you've picked for your project, given our group is also visualizing football data, that is quite inspiring for us as well!
I'd say the the preliminary visuals in your first blog post of players value and salaries are already quite insightful, I think it might be interesting to take it further and maybe try:
- to combine it with the players' performance
- to visualize the players value or salary evolution over time
- to visualize the general growth of players' value over time - for example what were the average and highest transfer prices 10, 15, 20 years ago compared to nowadays (if it is interesting enough to look for such data).
I personally quite…