## Comparing read.csv with read_csv # Read in FAO data fao <- read.csv(file = 'data/FAO_1950to2012_111914.csv', stringsAsFactors = F) summary(fao) head(fao) # vs ...
In August 2014, I created a [40-minute video tutorial](https://www.youtube.com/watch?v=jWjqLW-u3hc) introducing the key functionality of the dplyr package in R, using ...