by Daniel Moore
Director of Applied Statistics Engineering, Console Development
Microsoft
In Xbox Hardware, we are interested in the various ways that our hardware is used, and we are especially interested in how that usage changes over time. We employ several several time series analysis techniques that are helpful in getting a holistic view of usage of the Xbox console. When it comes to the actual data that we look at – it could be an individual game or app usage or it could be specific features of the console. For all of these, there are a few parts of the time series that we are interested in. The first is the trend of usage over time. Many games are very popular when they are first released and then lose popularity as they age. Some games remain steady in their popularity. The consoles themselves may show increased usage on holiday periods. All of these would be reflected in the overall trend of the data. We are also interested in the weekly cycle of usage. As you can imagine, use of a gaming console goes up on the weekend and down during the week. This is probably even more so among children than adults – as they have more time (and permission!) to play on non-school days than they do on school days.
We use R extensively to perform a time series analysis. In this post we’ll explore the initial analysis and decomposition of the time series into its component parts. Though some packages offer more complete time series analysis options, the base version of R has some good built in features for this initial analysis. The data for this example is the usage of a single game over more than a year of usage on the Xbox One. This is done with the …read more
Source:: r-bloggers.com