Conteúdo do Curso

R Introduction: Part II

1. Matrices

What is a Matrix?matrix() Function Transposing Matrix Indexation Namings Operation with Matrices Sales and Revenue

2. Data Frames

What is a Data Frame?data.frame() Function Columns Accessors Logical Indexing Manipulating Columns Manipulating Rows Data Extraction

3. Lists

What is a List?Namings Extracting List Elements Modifying

Data Extraction

Finish the section with practice on abstract local furniture store selling data!

Tarefa

Swipe to show code editor

You will work with the data below. This data is stored in the store variable.

Item	Price	Sold
Sofa	340	67
Armchair	150	81
Dining table	115	79
Bookshelf	160	42
Kitchen Cabinet	70	67

Your tasks are:

Add a new column named 'Revenue' with the revenue of each item (multiply 'Price' and 'Sold'). To access columns, use the $ sign.
Using the sum() function, calculate the total number of items sold. Save in items_sold variable and output its value.
Calculate total revenue using sum() function. Save in the total_revenue variable and output its value.
Find out the average price of the sold item - divide total_revenue by items_sold.

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Seção 2. Capítulo 7

Data Extraction

Finish the section with practice on abstract local furniture store selling data!

Tarefa

Swipe to show code editor

You will work with the data below. This data is stored in the store variable.

Item	Price	Sold
Sofa	340	67
Armchair	150	81
Dining table	115	79
Bookshelf	160	42
Kitchen Cabinet	70	67

Your tasks are:

Add a new column named 'Revenue' with the revenue of each item (multiply 'Price' and 'Sold'). To access columns, use the $ sign.
Using the sum() function, calculate the total number of items sold. Save in items_sold variable and output its value.
Calculate total revenue using sum() function. Save in the total_revenue variable and output its value.
Find out the average price of the sold item - divide total_revenue by items_sold.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Obrigado pelo seu feedback!

Seção 2. Capítulo 7

Data Extraction

Finish the section with practice on abstract local furniture store selling data!

Tarefa

Swipe to show code editor

You will work with the data below. This data is stored in the store variable.

Item	Price	Sold
Sofa	340	67
Armchair	150	81
Dining table	115	79
Bookshelf	160	42
Kitchen Cabinet	70	67

Your tasks are:

Add a new column named 'Revenue' with the revenue of each item (multiply 'Price' and 'Sold'). To access columns, use the $ sign.
Using the sum() function, calculate the total number of items sold. Save in items_sold variable and output its value.
Calculate total revenue using sum() function. Save in the total_revenue variable and output its value.
Find out the average price of the sold item - divide total_revenue by items_sold.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Obrigado pelo seu feedback!

Finish the section with practice on abstract local furniture store selling data!

Tarefa

Swipe to show code editor

You will work with the data below. This data is stored in the store variable.

Item	Price	Sold
Sofa	340	67
Armchair	150	81
Dining table	115	79
Bookshelf	160	42
Kitchen Cabinet	70	67

Your tasks are:

Add a new column named 'Revenue' with the revenue of each item (multiply 'Price' and 'Sold'). To access columns, use the $ sign.
Using the sum() function, calculate the total number of items sold. Save in items_sold variable and output its value.
Calculate total revenue using sum() function. Save in the total_revenue variable and output its value.
Find out the average price of the sold item - divide total_revenue by items_sold.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 2. Capítulo 7

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo