Data Extraction
Finish the section with practice on abstract local furniture store selling data!
Tâche
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
.
Solution
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Merci pour vos commentaires !
Section 5. Chapitre 7
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Data Extraction
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Finish the section with practice on abstract local furniture store selling data!
Tâche
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
.
Solution
Tout était clair ?
Merci pour vos commentaires !
Awesome!
Completion rate improved to 2.27Section 5. Chapitre 7
single