Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Leer Costly Customers | Becoming an Analyst
Introduction to Python for Data Analysis

bookCostly Customers

Sometimes we don't receive as much as we spend. The same with some customers in our DataFrame. We do spend more money to 'buy' this customer, but we don't receive the the same amount of money.

Let's find the percentage of these customers!

We want to find costly customers, not payments. To do that, we need to add additional customer_id.nunique() that will find only unique customers with their costly (or not) payments.

To find the percentage, use the next formula:

Taak

Swipe to start coding

  1. Count the number of the costly customers:
  • Set the condition if the value in the 'cost' column is greater than the value in the 'money_spent' column
  • Use unique customers to find the metric
  1. Print the number of the costly customers.
  2. Find the percentage of costly customers using the formula.
  3. Print the result of countings in the 0.00 format.

Oplossing

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 6
single

single

Vraag AI

expand

Vraag AI

ChatGPT

Vraag wat u wilt of probeer een van de voorgestelde vragen om onze chat te starten.

close

Awesome!

Completion rate improved to 2.08

bookCostly Customers

Veeg om het menu te tonen

Sometimes we don't receive as much as we spend. The same with some customers in our DataFrame. We do spend more money to 'buy' this customer, but we don't receive the the same amount of money.

Let's find the percentage of these customers!

We want to find costly customers, not payments. To do that, we need to add additional customer_id.nunique() that will find only unique customers with their costly (or not) payments.

To find the percentage, use the next formula:

Taak

Swipe to start coding

  1. Count the number of the costly customers:
  • Set the condition if the value in the 'cost' column is greater than the value in the 'money_spent' column
  • Use unique customers to find the metric
  1. Print the number of the costly customers.
  2. Find the percentage of costly customers using the formula.
  3. Print the result of countings in the 0.00 format.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

close

Awesome!

Completion rate improved to 2.08
Sectie 4. Hoofdstuk 6
single

single

some-alt