In this section, we'll use Rattle for a quick correlation analysis and to create a model to forecast the bike demand.
Our dataset has three possible target variables:
casual. Rattle doesn't handle multiple targets. We can create a model for
registered and a second model for
casual and add both values to have the total number of users, or we can build a model for
cnt (the total amount). We will only create a model for
cnt because we're interested in the level of activity and this variable will provide it.
Load the dataset into Rattle and set
Ignore, and set the rest of variables to
To perform the correlation ...