10.20 Join Categorics
The Join Categorics option provides a convenient way to stratify the dataset, based on multiple categoric variables. It is a simple mechanism that creates a new variable from the combination of all of the values of the two constituent variables selected in the Rattle interface. The resulting variables are prefixed with JOIN_ and include the names of both the constituent variables.
A simple example might be to join gender and marital, to give a new variable, JOIN_marital_gender.
We might also want to join a numeric variable and a categoric variable, like the typical age and gender stratification. To do this we first use the Binning option within Remap to categorise the age variable.
If you find this curated material useful then you can consider a donation to support it's ongoing availability and give you access to the PDF version of this book. The material has been scoped up by Generative AI without permission or any kind of recompense so do consider a donation if you can afford it. Unlike Generative AI your access to this materials is freely given. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Togaware has a 30 year tradition of making popular open source software which includes sold privacy preserving productivity apps, rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0