Working through R: Part. 2

Last night, the amazing Brittani sent me a wonderful tutorial on how to input data on R when using a Mac computer. This was the most beneficial thing I have received for this assignment, as without it I would have been unable to work through part 3 of Clarke’s data exploration tasks. This weekend, I thought I had uploaded the data in its entirety, but I was mistaken. Using the tutorial, I was able to add my data into R and get started on Clarke’s tutorials. With the data in the system, I was able to quickly work through the tutorial and retrieve the intended results. While I did have a few hiccups, Clarke’s tutorial had some slight errors in field names, I was able to resolve the problems and continue through the tutorial. One thing that I noticed during my attempts is that capitalization matters! If you forget to capitalize something it could very well result in an error message. That was a learning experience, but I caught on quickly. Overall, I was able to muddle through the tutorial up until dyplr. No matter how many times I edited the data, I still received an error message.

R is a tricky software, and I realize I am just dipping my toes in the water. It will take persistence and practice to perfect my skills. I found Clarke’s tutorial to be a decent way to get some experience with R, but when attempting the software on your own, I highly recommend searching for tutorials that match your operating system as that is your key to success!