engsoccerdata
drake
engsoccerdata | drake | |
---|---|---|
1 | 1 | |
749 | 1,329 | |
- | 0.1% | |
0.0 | 6.1 | |
over 1 year ago | 2 months ago | |
R | R | |
- | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
engsoccerdata
-
Updated 538 predictions after today's results
"The forecasts are based on a substantially revised version of ESPN’s Soccer Power Index (SPI), a rating system originally devised by FiveThirtyEight editor-in-chief Nate Silver in 2009 for rating international soccer teams. We have updated and adapted SPI to incorporate club soccer data going back to 1888 (from more than 550,000 matches in all) that we’ve collected from ESPN’s database and the Engsoccerdata GitHub repository, as well as from play-by-play data produced by Opta that has been available since 2010."
drake
-
Your impression of {targets}? (r package)
The targets package is the official successor to Drake, and has the same primary author (Will Landau). He has explained why he created targets, which includes stronger guardrails for users and better UX.
What are some alternatives?
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
targets - Function-oriented Make-like declarative workflows for R
understatr - fetch understat data
easystats - :milky_way: The R easystats-project
ggshakeR - An analysis and visualization R package that works with publicly available soccer data
tabulapdf - Bindings for Tabula PDF Table Extractor Library
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
tanya-data-viz - Personal data visualization side projects.
fiery - A flexible and lightweight web server
TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning