1.4 Data Science Through Doing
This book takes a seriously hands on approach to doing data
science. Concepts are introduced but usually with an example of the
concept with some code. We use R as our language to share these
concepts and demonstrate how we execute the concepts in practice.
Through this guide new R commands will be introduced. The reader is
encouraged to review the command’s documentation and understand what
the command does. Help is obtained using the ? command as in:
Documentation on a particular package can be obtained using the
help= option of library():
To learn effectively you are encouraged to run R (e.g., RStudio or Emacs with ESS mode) and to replicate the commands. Check that the output you get is the same and that you understand how it is generated. Try some variations. Explore.
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
