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Name: Rasmus Christensen
Type: User
Name: Rasmus Christensen
Type: User
This package enables those interested in Fantasy Premier League to perform detailed data analysis of the game, using the FPL's JSON API. The fplscrapR functions help R users collect and parse data from the Official Fantasy Premier League website.
Historical FPL Data stored for fplscrapR
A Set of Functions to Efficiently Scrape NFL Play by Play Data
Play-by-Play Sequence Overview Plot for NFL Games
R Package for Scraping NFL Data off their JSON API
Line-up Optimizer for FPL
Short code-through to illustrate 'penalty champions' (players with high goals-to-npxG ratios)
Scraping and exploring Premier League goal-assist connections
R for data science: a book
Shot distance, xG efficiency and player style
an R package providing color palettes for pro sports teams
Basic script to scrape select us data
Basic discussion of win probability, expected points, and EPA player value in football
Basic player EPA in the 2018/19 Premier League
GitHub Pages
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.