5  Wrapping up

Learning to code happens slowly at first, but it’s worth taking a moment to enumerate what we’ve learned to keep those steps in perspective. So far, we’ve covered:

• how to navigate R and RStudio

• how R handles different kinds of data

• how to work with R at the command line

• how to assign values to variables

• how to use functions, including supplying arguments

• how to make histograms and scatterplots

• how to create, run, and share scripts in RStudio

• how to use best practices in file system management

• how to work with file systems from inside and outside RStudio

• how to import and export table data

• how to access and change columns, rows, and values in a tibble

And it’s only Week 3! As you progress, some of the steps you’ve learned now will make more complex activities in R more intuitive, and you’ll be able to pick up new skills faster. This week’s lab exercise will build on what we’ve done both last week and this week, using this kind of weather data to do a bit of analysis. When you’re ready, you can move on to the Week 3 Lab Exercise…