Personal note on basic R tutorials for data science
- Learn basic syntaxes of R
- Learn how to analyze data using R
- Learn how to conduct dimension reduction (same in Python)
- Able to install and run R-Studio in my local machine
- Able to manipulate data with simple logics in R
- Able to implement different dimension reduction techniques using R
This repository contains jupyter notebook.
See Installation section in R Tutorial.ipynb
Follow this tutorial. Note that R needed to be installed locally first.
This repository is solely for personal use for excercise in Information Visualization course at Aalto University.
The content is adapted from r-statistics and STHDA-Statistical tools for high-throughput data analysis.
This project is using GNU AGPLv3 license.