Four (now five!) data science-type type books for us to use

[rdstern]

These are all available freely to read. Printed copies would be bought. The online versions have the advantage that R code can be copied and pasted into RStudio or R-Instat to try.

The Wickham book on R for Data Science, has been our "standard". It starts, as we propose, on data visualisation.

The book called R Graphics cookbook is by Winsten Chang, who also works at RStudio. It is more general that appears from the title and also discusses data science from the start.

The third is called Introduction to Data Science. The author is Rafael A. Irizarry and is seems to be a book used at Harvard. There is also a useful R package with all the datasets used in this book. It provides a good model for the topics we aim to cover before too long.

The fourth is again narrower and is just called Data Visualisation with R. It is particularly interesting in that it has chapters in the same order as we approach the data visualisation in R-Instat, namely 1 variable, (Chapter 3), then 2 variables (Chapter 4) and so on. That's what we want to do in our data visualisation too, i.e. it would be good if our Describe > One Variable and Describe > Two Variable dialogues offered most (if not all) of the graph types that are in these chapters of the book.

We should mix using the same exam[ples as in these books and trying out the same ideas on our own data sets.

[rdstern]

I have taken one of these books - just the start of it. Written the following document:
Data Visualization with R_Instat.docx

This document describes 5 ways of visualising data using R-Instat. It uses an example from chapter 3 of the data visualisation book. The next steps are to ensure that most (ideally all) the descriptive visualisations in this book can be done easily in R-Instat.

[rachelkg]

I was starting work on the R Graphics cookbook data visualisation chapters. Attempting to recreate items from these in R-Insat. Should I work through this first instead?

[rachelkg]

I have tried to recreate the graph from Chapter 7 https://rafalab.github.io/dsbook/ggplot2.html. Introduction to Data Science.

I had some success and some challenges. Feel free to make comments and improvements.

Trying to recreate the Dslabs graph on murders.docx
have documented them in this word document.

[rdstern]

It is time for considerable improvements in our modelling menu. I will be suggesting a set of issues. I also use another recent book as support. It is called Introduction to Statistical Learning with applications in R. It is the second edition and is accompanied by a package with 21 (I think) interesting examples of data. Each chapter includes a section on worked examples with these datasets - of course using R. So our challenge is for (most of) these models to be available for users, ideally via dialogues, and at least through the halfway dialogues.