Learning-R 📚

A crash-course type material repository to the most of R.

Everyone is welcome to contribute, steps for contributing:

1. Create an Issue specifying the contribution work.
2. Fork this repo into your own account.
3. git clone <link> your forked repo into local machine.
4. Create new branch development using git checkout -b development.
5. After the contribution work is ready go ahead and add it to staging area by git add -A
6. git commit -m <your_message> your changes into development branch.
7. git push origin development into your forked repository.
8. Issue a pull request from forked repo to this repo.
9. Get your name in CONTRIBUTORS.md!

Note: Add dataset only in zip format and if size less than an MB, else add link to the dataset in a readme file.

Added:

• Datatypes
• Conditions and loops
• Operators in R
• EDA on a dataset

To do:

• data manipulation using dplyr
• data viz using ggplot2

Resources: R Programming for Data Science(book) - downloaded for free from here.