A crash-course type material repository to the most of R.
Everyone is welcome to contribute, steps for contributing:
- Create an Issue specifying the contribution work.
- Fork this repo into your own account.
git clone <link>your forked repo into local machine.- Create new branch development using
git checkout -b development. - After the contribution work is ready go ahead and add it to staging area by
git add -A git commit -m <your_message>your changes into development branch.git push origin developmentinto your forked repository.- Issue a pull request from forked repo to this repo.
- 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.