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

This week we are discussing Part 1: Explore
This includes dataviz with ggplot2, data transformation with dplyr, workflows and exploratory data analysis.
Share your workflow tips and tricks, your favourite ggplot visualisation, or your go to dplyr functionality.

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 the 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)