The best tool for Fantasy Football analytics: Excel or R?

In the early days, I used Excel for basic stuff, but I’ve been playing with R for some fun and funky data crunching. It’s a nice tool to know how to use.

It can be hard, though, to keep up with all the extensions that are being written and released almost daily. But that’s a good problem to have. And for the stuff I do, I definitely prefer R to Excel or an Excel-related application.

For anaylzing Fantasy Football data, somebody who obviously takes Fantasy Football seriously and knows a thing or two about R, seems to agree with me and has written up a good number of reasons why R is the best tool for Fantasy Football data analysis.

Here are a few of his reasons:

1. Data Manipulation. R allows you to manipulate (e.g., subset, recode, merge) data quickly. Some R packages have been designed specifically for these purposes, e.g., plyr. Typically, a majority of the time spent on an analysis project is spent before the analysis—preparing the data. R is much more adept and efficient in data preparation than Excel. Fantasy data scraped from websites often require many steps in data processing to be ready for analysis, so R is ideal.

2. It Supports Larger Data Sets. Excel has restrictions for how large your data can be. Even if if your data don’t exceed this maximum size, Excel can become slow with large data sets (especially after you add tabs, formulas, and references). R supports larger data, and can support big data with packages such as Hadoop.

3. It’s Open Source. Unlike Excel and other proprietary software used for data analysis, R is not a black box. You can examine the code for any function or computation you perform. You can even modify and improve these functions by changing the code.

You may read the rest at Fantasy Football Analytics.

Fantasy Football Analytics: R or Excel

Related Posts

The ideal value of listen.backlog when setting PHP-FPM pm = ondemand I recently wrote about the impact that setting how PHP-FPM's process manager controls child processes from dynamic (pm = dynamic) to ondemand (pm = on...
Google releases Dart SDK 1.0 for scalable, structured web apps Google has released Dart SDK 1.0. Dart is a "a cross-browser, open source toolkit for structured web applications." It was first announced back in ...
DevAssistant: A developer’s best friend One application I came across while testing an installation of the main edition Fedora 21 alpha is DevAssistant. (See Fedora 21 Workstation: GNOME 3. ...
What is the best blogging application that’s based on Django After about six years of using WordPress as the blogging  platform for this website, I have come to the stage where I want to try something else. Some...
A 10-minute guide to Kubernetes Editor: This article was originally published by Omer Dawelbeit under the title "Learn the Kubernetes Key Concepts in 10 Minutes". In this post I w...
The problem with Scaleway Cloud hosting providers are popping up everyday that it's almost difficult to keep up. The upside is that competition will be fierce, which is alwa...

We Recommend These Vendors and Free Offers

Launch an SSD VPS in Europe, USA, Asia & Australia on Vultr's KVM-based Cloud platform starting at $5:00/month (15 GB SSD, 768 MB of RAM).

Deploy an SSD Cloud server in 55 seconds on DigitalOcean. Built for developers and starting at $5:00/month (20 GB SSD, 512 MB of RAM).

Want to become an expert ethical hacker and penetration tester? Request your free video training course of Online Penetration Testing and Ethical Hacking

Whether you're new to Linux or are a Linux guru, you can learn a lot more about the Linux kernel by requesting your free ebook of Linux Kernel In A Nutshell.


Leave a Comment

Your email address will not be published. Required fields are marked *

*