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

Scorri per mostrare il menu

book
Costly 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:

Compito

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.

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!

Sezione 4. Capitolo 6

Chieda ad AI

expand
ChatGPT

Chieda pure quello che desidera o provi una delle domande suggerite per iniziare la nostra conversazione

book
Costly 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:

Compito

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.

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!

Sezione 4. Capitolo 6
Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
some-alt