nthot's comments

Totally off topic from the feature request: You might want to include the 1060 in your list of graphics cards if you are willing to include the 970m (laptop version). The newer laptop 1060 is somewhere around 5 to 10% slower than the desktop variant, and the desktop variant is roughly equivalent to the old desktop 970. The 1060 should be a pretty good improvement over the 970m. It might end up saving you money as 1060 laptops start popping up to replace the 960m laptops.

R for Data Science is a good R equivalent by Hadley Wickham. It also acts as a high level overview of the hadley/tidy verse (ggplot2, tidyr, dplyr, etc.). R4DS is free online [1].

[1] http://r4ds.had.co.nz/

I've always had a hard time understanding pipes, so it may just be that the concept will take more time for me to grok. I thought that the little bunny foo foo example in section 18.2 was really hard to grasp. I think that doing a similarly in depth example with numerical data, while more boring, may make the concept easier to understand.

I've been using r4ds for the past couple weeks. This is the first time I've really understood how everything in R and the tidyverse fits together. I am really enjoying the book. It has already helped me immensely.

Seriously, thank you for writing this.

Insurance premiums are a function of losses. Automated trucks will reduce losses and reduce premium. It's not going to just reduce drivers, it's going to put a dent in the insurance industry. Companies like Geico could lose 40% of premium according to a KPMG report I can't link to because I'm on my cell.

This could also affect the amount of capital available to the economy as insurance companies invest their premiums.