Detecting Patterns in Text with str_detect()

This video tutorial covers string manipulation in R using the stringr package, focusing on extracting model names containing the letter 'M' from the 'empty cars' dataset. It demonstrates using tidyverse and GT extras for data manipulation and presentation, including creating and styling tables. The tutorial emphasizes the use of the string detect function and provides a step-by-step guide to preparing data and applying logical operations to filter results.

What is the primary goal of the lesson involving the 'mtcars' dataset?

• To find the car with the highest speed

• To sort the cars by horsepower

• To extract model names containing the letter 'M'

• To calculate the average mileage of cars

Which function is used to create a new variable in the dataset?

• select

• mutate

• filter

• arrange

What does the 'string_detect' function do in the context of this lesson?

• It sorts the dataset alphabetically

• It detects the presence of a specific letter in a string

• It converts strings to uppercase

• It calculates the length of a string

What is the purpose of using GT extras in the code?

• To sort data by numerical value

• To create visually appealing tables

• To perform complex mathematical calculations

• To generate random data

Which theme is mentioned as a nice option for table presentation?

• Theme 101

• Theme 202

• Theme 538

• Theme 404