Coding Challenge: Importing Data

Now we’ll work with a dataset containing information about a bank’s customer base, featuring the following variables:

• customerID: The customer’s unique ID.

• gender: The customer’s gender.

• SeniorCitizen: The customer’s senior citizen status.

• Partner: The customer’s relationship status.

• Dependents: The customer’s number of dependents.

• tenure: The length of time (in months) that the individual has been a customer.

• Services that the customer has subscribed to:

  • PhoneService

  • MultipleLines

  • InternetService

  • OnlineSecurity

  • OnlineBackup

  • DeviceProtection

  • TechSupport

  • StreamingTV

  • StreamingMovies

• Contract: The customer’s current contract type: “Month-to-Month,” “One Year,” “Two Year.”

• PaperlessBilling: The customer’s preference regarding paperless billing.

• PaymentMethod: The customer’s preferred method of bank payment: bank withdrawal, credit card, mailed check.

• MonthlyCharges: The customer’s current total monthly charge.

• TotalCharges: The customer’s total charges.

• Churn: Whether or not the customer has exited or churned (our target variable).

We’ve already seen how to load a dataset using pandas, so try loading this data, from a file called data.csv, by replacing line 3 in the code below: