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R Introduction: Part II
course content

Course Content

R Introduction: Part II

R Introduction: Part II

1. Matrices
What is a Matrix?matrix() FunctionTransposingMatrix IndexationNamingsOperation with MatricesSales and Revenue
2. Data Frames
What is a Data Frame?data.frame() FunctionColumns AccessorsLogical IndexingManipulating ColumnsManipulating RowsData Extraction
3. Lists
What is a List?NamingsExtracting List ElementsModifying

bookData Extraction

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

Task

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

ItemPriceSold
Sofa34067
Armchair15081
Dining table11579
Bookshelf16042
Kitchen Cabinet7067

Your tasks are:

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

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Section 2. Chapter 7
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bookData Extraction

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

Task

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

ItemPriceSold
Sofa34067
Armchair15081
Dining table11579
Bookshelf16042
Kitchen Cabinet7067

Your tasks are:

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

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 7
toggle bottom row

bookData Extraction

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

Task

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

ItemPriceSold
Sofa34067
Armchair15081
Dining table11579
Bookshelf16042
Kitchen Cabinet7067

Your tasks are:

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

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

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

Task

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

ItemPriceSold
Sofa34067
Armchair15081
Dining table11579
Bookshelf16042
Kitchen Cabinet7067

Your tasks are:

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

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 7
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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