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.