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Impara Data Extraction | Data Frames
R Introduction: Part II

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Data Extraction

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

Compito

Swipe to start coding

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.

Soluzione

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Sezione 2. Capitolo 7
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book
Data Extraction

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

Compito

Swipe to start coding

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.

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

close

Awesome!

Completion rate improved to 5.56

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