All Projects → Bustami → Datofutbol

Bustami / Datofutbol

Dato Fútbol repository

Programming Languages

r
7636 projects

Projects that are alternatives of or similar to Datofutbol

Soccergraphr
Soccer Analytics in R using OPTA data
Stars: ✭ 42 (+82.61%)
Mutual labels:  football, soccer, data-science, rstats
Engsoccerdata
English and European soccer results 1871-2020
Stars: ✭ 615 (+2573.91%)
Mutual labels:  soccer, data-science, rstats
Awesome Soccer Analytics
⚽️📈 A curated list of awesome resources related to Soccer Analytics.
Stars: ✭ 244 (+960.87%)
Mutual labels:  football, soccer, analytics
regista
An R package for soccer modelling
Stars: ✭ 71 (+208.7%)
Mutual labels:  soccer, rstats, football
Soccer ggplots
Soccer/football analytics blog posts & data viz from the World Cup, Premier League, Copa America, and beyond. Using ggplot2, ggsoccer, & more. (Est. June 2018) ****Please look at the README for best version of the code!****
Stars: ✭ 115 (+400%)
Mutual labels:  football, soccer, rstats
workshops-setup cloud analytics machine
Tips and Tricks to setup a cloud machine for Analytics and Data Science with R, RStudio and Shiny Servers, Python and JupyterLab
Stars: ✭ 12 (-47.83%)
Mutual labels:  analytics, shiny, rstats
Model Describer
model-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-4.35%)
Mutual labels:  data-science, analytics
World Cup 2018 Cli Dashboard
⚽🏆A World Cup 2018 CLI dashboard – Watch matches in your terminal
Stars: ✭ 529 (+2200%)
Mutual labels:  football, soccer
Shinyjs
💡 Easily improve the user experience of your Shiny apps in seconds
Stars: ✭ 566 (+2360.87%)
Mutual labels:  shiny, rstats
Data Science Career
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Stars: ✭ 630 (+2639.13%)
Mutual labels:  data-science, analytics
Timevis
📅 Create interactive timeline visualizations in R
Stars: ✭ 470 (+1943.48%)
Mutual labels:  shiny, rstats
Highcharter
R wrapper for highcharts
Stars: ✭ 583 (+2434.78%)
Mutual labels:  shiny, rstats
Datascience Box
Data Science Course in a Box
Stars: ✭ 629 (+2634.78%)
Mutual labels:  data-science, rstats
Moderndive book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Stars: ✭ 527 (+2191.3%)
Mutual labels:  data-science, rstats
Footballdata
A hodgepodge of JSON and CSV Football/Soccer data
Stars: ✭ 526 (+2186.96%)
Mutual labels:  football, soccer
Pachyderm
Reproducible Data Science at Scale!
Stars: ✭ 5,305 (+22965.22%)
Mutual labels:  data-science, analytics
Awesome R
A curated list of awesome R packages, frameworks and software.
Stars: ✭ 4,858 (+21021.74%)
Mutual labels:  data-science, rstats
Threatpursuit Vm
Threat Pursuit Virtual Machine (VM): A fully customizable, open-sourced Windows-based distribution focused on threat intelligence analysis and hunting designed for intel and malware analysts as well as threat hunters to get up and running quickly.
Stars: ✭ 814 (+3439.13%)
Mutual labels:  data-science, analytics
Awesome Streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Stars: ✭ 769 (+3243.48%)
Mutual labels:  data-science, analytics
Errormoji
®️ errors, in emoji
Stars: ✭ 16 (-30.43%)
Mutual labels:  data-science, rstats

Last Update (17-05-2020):

This is the new repository of this project: https://github.com/Dato-Futbol


DATO FUTBOL is a personal project that started in 2017 and it is focus on get a deeper knowledge in the field of Football Analytics.

I've been developing different resources related, like the Blog, which was created using RStudio with the package blogdown, and deploying Shiny apps for some posts.

Another resources here:
  1. Una mirada al Soccer Analytics usando R

  2. La revolución de los datos en Soccer Analytics

  • Another articles about using R for Soccer Analytics (Medium):

Part I

Part II

Part III

Examples

Generally, to choose topics for writing depends on available data. So, i propose 3 data categories: A) Historical data, B) Event data & C) Tracking data. Here some examples:

1) Historical data

*Champions ranking

2) Event data

*Shotmap

*Passing Networks

3) Tracking data

Animation with Voronoi diagrams (code in Github):

If you have any request don't hesitate to contact me by email:

[email protected]

Enjoy it!

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].