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 Section II - Wrangle.
We will focus on data import and getting your data into a 'tidy' format, from there it is then much easier to transform your data. For this Section II of the book takes a closer look at dealing with strings (e.g. words or parts thereof), factors (e.g. categorical data) and dates and times (just as much of a challenge for seasoned users as it is for learners).
In case we won't be able to finish this section we shall continue working through it during the next meetup.

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 book club 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)