Wrapping Up!

We accomplished the following:

1. Why code

2. How to handle data

3. Basics of R, RStudio, Quarto and \(\LaTeX\)

4. Basics of reproducible and comprehensible coding practices

5. Efficient File Management

What we could not cover or covered partially:

1. Data Wrangling and Analysis with R: Particularly useful would be R for Data Science. The online book is one the the most useful sources to learn all the aspects of coding in R using tidyverse framework.

2. Zotero integration with RStudio: Follow the link here.

3. Github: This is an excellent tutorial

There are many other links which are attached to the pages for each day. It would be useful to revisit and explore them as you walk through your semesters.

Over the next few days, you can access some of the basic qmd templates for writing papers and assignments on the box link here. Make sure to revisit by the time you have to write your first essay.

And as promised, one last thing!