Using ‘R’ for betting analysis [Data Science For The Rest Of Us]

Using ‘R’ for betting analysis by Minrio Mella.

From the post:

Gaining an edge in betting often boils down to intelligent data analysis, but faced with daunting amounts of data it can be hard to know where to start. If this sounds familiar, R – an increasingly popular statistical programming language widely used for data analysis – could be just what you’re looking for.

What is R?

R is a statistical programming language that is used to visualize and analyse data. Okay, this sounds a little intimidating but actually it isn’t as scary as it may appear. Its creators – two professors from New Zealand – wanted an intuitive statistical platform that their students could use to slice and dice data and create interesting visual representation like 3D graphs.

Given its relative simplicity but endless scope for applications (packages) R has steadily gained momentum amongst the world’s brightest statisticians and data scientists. Facebook use R for statistical analysis of status updates and many of the complex word clouds you might see online are powered by R.

There are now thousands of user created libraries to enhance R functionality and given how much successful betting boils down to effective data analysis, packages are being created to perform betting related analysis and strategies.

On a day when the PowerBall lottery has a jackpot of $1.5 billion, a post on betting analysis is appropriate.

Especially since most data science articles are about sentiment analysis, recommendations, all of which is great if you are marketing videos in a streaming environment across multiple media channels.

At home? Not so much.

Mirio’s introduction to R walks you through getting R installed along with a library for Pinnacle Sports for odds conversion.

No guarantees on your betting performance but having a subject you are interested in, betting, makes it much more likely you will learn R.


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