c3plot VS engsoccerdata

Compare c3plot vs engsoccerdata and see what are their differences.

c3plot

R Package for Interactive Plotting via C3.js with a Base Graphics-like Interface (by arkraieski)
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c3plot engsoccerdata
1 1
0 740
- -
4.6 0.0
11 months ago over 1 year ago
R R
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

c3plot

Posts with mentions or reviews of c3plot. We have used some of these posts to build our list of alternatives and similar projects.
  • Any Idea For A R Package
    1 project | /r/rstats | 21 Dec 2020
    I hope this helps. If you want to see an example of how this fits together, you could check out the code for my c3plot package which wraps C3..JS (which is itself a D3 wrapper).

engsoccerdata

Posts with mentions or reviews of engsoccerdata. We have used some of these posts to build our list of alternatives and similar projects.
  • Updated 538 predictions after today's results
    1 project | /r/coys | 16 Apr 2022
    "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."

What are some alternatives?

When comparing c3plot and engsoccerdata you can also consider the following projects:

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.

fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

wesanderson - A Wes Anderson color palette for R

understatr - fetch understat data

awesome-R - A curated list of awesome R packages, frameworks and software.

ggshakeR - An analysis and visualization R package that works with publicly available soccer data

DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning

r4ds - R for data science: a book

tanya-data-viz - Personal data visualization side projects.

TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing