Book Club - R for Data Science

The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together.

The first book we will work through is the R for Data Science book (available online: https://r4ds.had.co.nz/ ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate

In this meetup we are looking at two sections, Section III - Program and Section IV - Model.

We will look at using the pipe, writing functions, and iterating over a data structure to automate our workflow. This sections also covers vectors in more detail; vectors are the fundamental building block of more complex data structures.

"All models are wrong, but some are useful." - George Box
This section looks fitting models to better understand your data and builds on top of the exploratory data analysis tools looked at in the previous sections.

Location - we are meeting at the Curtin University Law School, 57 Murray Street. Someone will be waiting by the entrance to let you in and point you to the right room. If possible please arrive by 5.45pm.

If this format is successful, future books could include:

1. Advanced R - https://adv-r.hadley.nz/
2. R packages - http://r-pkgs.had.co.nz/
3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)