Data Science and Machine Learning with R - Working with Files

This video tutorial introduces the basics of using R and RStudio, focusing on different file types such as R scripts and R Notebooks. It explains how to create and manage projects within RStudio, including the use of GitHub for version control. The tutorial emphasizes the importance of organizing work into projects for efficient management and retrieval.

What is the default file extension for an R script in RStudio?

• .R

• .rscript

• .rs

• .script

Which shortcut is used to create a new R script in RStudio?

• Ctrl + Alt + Shift + N

• Ctrl + Shift + N

• Ctrl + Alt + N

• Ctrl + N

What is a key feature of R Notebooks in RStudio?

• They are used for creating web applications

• They can only run in the console

• They support markdown for text formatting

• They allow integration with Python code

What is the purpose of an R project in RStudio?

• To create web applications

• To compile R code

• To manage multiple files and folders within a single project

• To write only R scripts

How can you create a new R project from an existing directory?

• By using the 'New File' option

• By writing a new R script

• By selecting 'New Project' and choosing 'Existing Directory'

• By importing a CSV file

What is a benefit of using version control with RStudio projects?

• It allows for real-time collaboration

• It automatically compiles R code

• It helps manage project dependencies

• It enables easy sharing and tracking of project changes

What must be installed on your system to use GitHub for version control in RStudio?

• Python

• Git

• Java

• Node.js

How can you open a project from GitHub in RStudio?

• By writing a new R script

• By downloading the files manually

• By using the 'Import Dataset' feature

• By using the 'Version Control' option and pasting the repository URL

What is a key advantage of managing work in RStudio projects?

• It enables real-time collaboration

• It provides free cloud storage

• It organizes work into manageable units

• It allows for automatic code generation

What should you consider when naming your RStudio projects?

• The length of the name

• The number of files in the project

• The color of the project icon

• A name that helps you remember the project's contents