engsoccerdata VS c3plot

Compare engsoccerdata vs c3plot and see what are their differences.

engsoccerdata

English and European soccer results 1871-2022 (by jalapic)
Soccer Rstats R Data Science Data Visualization sports-stats Sports Sport
Source Code
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c3plot

R Package for Interactive Plotting via C3.js with a Base Graphics-like Interface (by arkraieski)
Data Visualization R Graphics Data Science
Source Code
arkraieski.github.io
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engsoccerdata c3plot
1 1
749 0
- -
0.0 4.6
over 1 year ago 11 months ago
R R
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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."

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).

What are some alternatives?

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

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

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.

understatr - fetch understat data

wesanderson - A Wes Anderson color palette for R

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

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

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

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

r4ds - R for data science: a book

TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge

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

engsoccerdata vs fastverse c3plot vs R-Fundamentals engsoccerdata vs understatr c3plot vs wesanderson engsoccerdata vs ggshakeR c3plot vs awesome-R engsoccerdata vs R-Fundamentals c3plot vs DataScienceR engsoccerdata vs tanya-data-viz c3plot vs r4ds engsoccerdata vs TidyTuesday engsoccerdata vs drake