Working with data will require efficiency for plotting and analysis; the easiest way to do this is learning to code. Here CAGS has compiled a list of available sources from various coding platforms that may prove useful. If you have resources that you would like to share, please contact our Professional Development Committee Chair
On-campus resources
Books:
- Click here for the Google Drive link
- RCookbook
- R for data science
MatPlotLib Cheatsheets
- Click here for the Google Drive link
RStudio Cheatsheets
- Click here for the Google Drive link
Jupyter Notebooks and Python Cheatsheets
- Click here for the Google Drive link
