Data Science and Machine Learning with R - {dplyr}: The Arrange Verb

Data Science and Machine Learning with R - {dplyr}: The Arrange Verb

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

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The video tutorial covers the 'arrange' verb in data manipulation, focusing on ordering rows based on specific criteria. It uses examples from the Star Wars and mtcars datasets to demonstrate arranging rows by height and nested arranging. The tutorial explains the importance of maintaining data integrity when rearranging rows and introduces the use of descending order. Advanced techniques and helper functions are also discussed, providing a comprehensive understanding of the arrange verb's capabilities.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of the arrange verb in data manipulation?

To mutate columns by adding new variables

To filter rows based on a condition

To order rows based on column criteria

To select specific columns from a dataset

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to rearrange entire rows rather than individual column values?

To improve the readability of the dataset

To reduce the size of the dataset

To increase the speed of data processing

To ensure data integrity and maintain accurate observations

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the Star Wars dataset example, which character's height is used to demonstrate the arrange function?

Darth Vader

Yoda

R2D2

Luke Skywalker

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to rows with NA values when using the arrange verb?

They are removed from the dataset

They are highlighted in the dataset

They are placed at the bottom of the dataset

They are placed at the top of the dataset

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you reverse the default ascending order in the arrange function?

By using the flip helper function

By using the asc helper function

By using the desc helper function

By using the reverse helper function

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of nested arranging in data manipulation?

To filter data based on multiple conditions

To order data by multiple columns

To create new variables from existing ones

To select specific rows from a dataset

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the mtcars dataset example, which variable is used first for arranging?

Miles per gallon

Horsepower

Cylinders

Weight

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