R Programming for Statistics and Data Science - Data Transformation with R - the Dplyr Package - Part I

This video tutorial explores the Star Wars dataset using the Tidyverse package in R. It covers data manipulation techniques such as filtering, selecting, mutating, and transmuting data. The tutorial demonstrates how to efficiently handle large datasets using tables and introduces functions like filter, select, mutate, and transmute to transform data creatively. The video aims to provide a comprehensive understanding of data manipulation in R, focusing on practical applications within the Star Wars dataset.

What is the primary purpose of the Deployer package in the Tidyverse?

• Data collection

• Data storage

• Data manipulation

• Data visualization

Which function would you use to subset data based on specific criteria?

• Select

• Mutate

• Transmute

• Filter

How can you filter data using logical operators?

• By using the filter function

• By using the select function

• By using the transmute function

• By using the mutate function

What function allows you to select specific columns by name?

• Transmute

• Filter

• Select

• Mutate

Which helper function can be used with select to get columns starting with a specific prefix?

• starts_with

• contains

• ends_with

• matches

What is the difference between mutate and transmute functions?

• Mutate adds new variables and keeps all others, transmute only keeps the new variable

• Mutate is for visualization, transmute is for storage

• Mutate is for filtering, transmute is for selecting

• Mutate deletes variables, transmute adds variables

Which function would you use to create a new variable while retaining all existing ones?

• Filter

• Transmute

• Select

• Mutate