Efficiently choose your future best friends!
With Pokémon Picker, harness the power of statistics to find out which Pokémon you're going on an adventure with. We've collected statistics on the different Pokémon, so you can compare them efficiently and systematically.
Match your team to your fighting style, choose your favourite Types, and never miss the opportunity to have the perfect team again!
Learn more about Pokémon Picker.
This Visualization was created in the context of the course Data Visualization (COM-480) at EPFL, in Spring 2020. The goal was to create from scratch a dynamic visualization from a dataset of our choice. After exploring some leads, we selected a dataset about Pokémons (because well, the three of us are geeks).
The idea for us was to display the Pokémon in a new fashion, so everyone can try and extract meaningful information. For example, someone who wants to create a team, can rely on this tool to find the best Pokémons with some criterions (for example, best ratio speed/attack). This also allows to visually describe how the evolution mechanic works, making most of the time a Pokémon faster/stronger/..., but sometimes not.
The above was entirely constructed by us. The dynamic graph relies on D3.js v5. The rest is basically HTML/JS/CSS, with a hint of Bootstrap. To gather data, we use some python (e.g. to scrape the list of evolutions).
Discover who are behind the project.
Super Nerd Olivier Cloux
“Strong Pokemon. Weak Pokemon. That is only the selfish perception of people. Truly skilled trainers should try to win with all their favorites.” – Karen
Engineer Jonathan Collaud
“We do have a lot in common. The same earth, the same air, the same sky. Maybe if we started looking at what’s the same, instead of looking at what’s different, well, who knows?” – Meowth
Hex Maniac Hugo Hueber
“It’s more important to master the cards you’re holding than to complain about the ones your opponent was dealt.” – Grimsley