Sports Viz Sunday is a place for people to combine two of the greatest things in the world: Sports and data.
We frequently release new datasets for you to pull insights out of and share in the form of data visualisation.
Share your entry through the hashtag #SportsVizSunday on Twitter and keep up with the blog to see what other sports fans are creating.
View Site
·
Meet The Team
·
Partner With Us
Table of Contents
Taking part is easy! All you need to do to submit your work is use the hashtag #SportsVizSunday on Twitter for one of the team to see it.
Occasionally we will drop a new dataset into the repo that you can get involved in. We have over 100 other datasets sitting within our repo that we would love for you to check out. They can be accessed through the data tab, or click here.
Contributions are what make our community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. If you have a data set you would like to contribute towards a future challenge, or wamt to partner with SportsVizSunday. Please reach out to one of the team.
CJ Mayes - @_CJMayes
Mo Wootten - @Mo_Wootten
Simon Rowe - @MrRoweUK
We recognise not everyone wants to have a GitHub account nor want to learn how to check out or clone repositories. The easiest way to download a specific dataset is to navigate to the data folder
How do I download an xlsx?
Click through to a dataset, find the sport you like and click download in the top right of the pane.
If you get stuck please visit here
How do I download a csv?
To download a CSV from GitHub simply navigate to your desired repository. Select the CSV file
Right click the Raw button at the top of the file, select Save Link As and choose the location on your computer where you want to save the file, and select Save, making the extension a csv
If you get stuck please visit here
This is an example of all of our Sports Data files