The week of March 9-13 was my research week. I started reading R cookbook 2nd edition by Pual Teetor, Machine Learning with R by Brett Lantz, and The art of R programming by Norman Matloff. I also started some lessons on the site DataCamp, which is a “freemium”, to help me start learning how to program in R.
Why R? I never knew R existed before I started asking about what language I should learn. I asked some of my (much) more computer savvy friends what they would suggest for a beginner and Python first came to mind. When I asked my Senior Project Advisor, Mr. Calhoun, he suggested R. Mr. Glanzer, the school’s computer science teacher, encouraged me to learn R too because of the type of work I will be doing. This music I am sorting is data that can be broken into many different categories.
The site where you can download R, r-project.org, succinctly explains that “R is a language and environment for statistical computing and graphics.” Perfect. I need something that has the abilities to handle large amounts of data.
Not only is learning R helpful for this project, it is also important to have knowledge of R in the STEM field. R is used to analyze data that scientists collect from their experiments. I want to pursue a career in the sciences and having knowledge of this language will add a headstart to my college career.
I am focused on learning the language for now. I will start creating my final product in the later weeks. While I am making progress in these lessons on Datacamp, I do have to return sometimes to review. Still, this is exciting progress and I already have an idea of how to program this catalog.