Data Extraction
Finish the section with practice on abstract local furniture store selling data!
Opgave
Swipe to start coding
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 initems_sold
variable and output its value. - Calculate total revenue using
sum()
function. Save in thetotal_revenue
variable and output its value. - Find out the average price of the sold item - divide
total_revenue
byitems_sold
.
Løsning
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Sektion 2. Kapitel 7
single
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Data Extraction
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Finish the section with practice on abstract local furniture store selling data!
Opgave
Swipe to start coding
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 initems_sold
variable and output its value. - Calculate total revenue using
sum()
function. Save in thetotal_revenue
variable and output its value. - Find out the average price of the sold item - divide
total_revenue
byitems_sold
.
Løsning
Var alt klart?
Tak for dine kommentarer!
Awesome!
Completion rate improved to 5.56Sektion 2. Kapitel 7
single