I was given the task of making the Regression and Correlation tests using R language. This journey began with me trying to learn the most important things about R programming in order to be an effective member in my group with the task that was given to me. I used a great percentage of the sources provided to us on e-learning by Dr. Sharin, in addition to multiple YouTube videos explaining more about R programming in relation to its uses in statistics and data analysis. Also, I've been using Visual Studio 2022 IDE for most of my programming journey, and I spent some time looking for a way to integrate R programming into it but with no avail. It turned out that Microsoft had removed R support in Visual Studio by the time I needed. What this meant for me is that I also needed to learn about another IDE specifically made for R language called (R Studio). This whole process was quite time-consuming, but I ended up gathering a good set of information after all of it. I would imagine it would've been easier, had Dr. Sharin provided us with some training or exercises to do to introduce us to this language even more, but we were able to survive without that nonetheless.
Later on, I started working on Correlation and Regression, and I inserted the data set along with the required formulas for each statistical analysis after I had learned how to do that on Excel previously. In my point of view, doing that on Excel would've been more convenient and less of a hassle to go through, yet again, I endured it.
In the end, I came out with some nice results and great knowledge, and this project has offered me a great opportunity to learn more about R programming, since I was considering to come across it earlier in my academic life.