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Hi, this is Sharon Machlis, Director of Editorial Data amp;amp; Analytics at IDG Communications. In this second episode of Do More with R, well see how dplyr casewhen() function helps avoid a lot of nested ifelse statements. For data, I have a list of US states and their estimated populations, which you can see here. I also set up R variables showing which states are in each region And, you can see that here. First, let me load the state population data and the USRegions vectors into R and also load the dplyr package. Iamp;#39;ll source this file here. Then, letamp;#39;s look at the structure of the data. Iamp;#39;ll use the basic str base R command. And you can see itamp;#39;s got 2 columns, one with state names and one with populations. The task here is to assign each state to its proper division. There are a couple of different ways to do this. One common way is to use Rs ifelse function. In R, if you want to run an if statement across an entire vector at once, you typically
