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IBM_Predicting_Customer_Churn

Final project for I310D: Introduction to Human-Centered Data Science.
Affiliated Members: Itzhak Estrella, Avery Gilbert, Vanessa Medrano & Lucy Schilling.

Data Feature Table

Feature Description Data Type
CustomerID A unique ID that identifies each customer. string
Count A value used in reporting/dashboarding to sum up the number of customers in a filtered set. int64
Country The country of the customer’s primary residence. string
State The state of the customer’s primary residence. string
City The city of the customer’s primary residence. string
Zip Code The zip code of the customer’s primary residence. int64
Lat Long The combined latitude and longitude of the customer’s primary residence. string
Latitude The latitude of the customer’s primary residence. float64
Longitude The longitude of the customer’s primary residence. float64
Gender The customer’s gender: Male, Female. string
Senior Citizen Indicates if the customer is 65 or older: Yes, No. string
Partner Indicates if the customer has a partner: Yes, No. string
Dependents Indicates if the customer lives with any dependents: Yes, No. Dependents could be children, parents, grandparents, etc. string
Tenure Months Indicates the total number of months that the customer has been with the company by the end of the specified quarter. int64
Phone Service Indicates if the customer subscribes to home phone service with the company: Yes, No. string
Multiple Lines Indicates if the customer subscribes to multiple telephone lines with the company: Yes, No. string
Internet Service Indicates if the customer subscribes to Internet service with the company: No, DSL, Fiber Optic, Cable. string
Online Security Indicates if the customer subscribes to an additional online security service provided by the company: Yes, No. string
Online Backup Indicates if the customer subscribes to an additional online backup service provided by the company: Yes, No. string
Device Protection Indicates if the customer subscribes to an additional device protection plan for their Internet equipment provided by the company: Yes, No. string
Tech Support Indicates if the customer subscribes to an additional technical support plan from the company with reduced wait times: Yes, No. string
Streaming TV Indicates if the customer uses their Internet service to stream television programming from a third party provider: Yes, No. The company does not charge an additional fee for this service. string
Streaming Movies Indicates if the customer uses their Internet service to stream movies from a third party provider: Yes, No. The company does not charge an additional fee for this service. string
Contract Indicates the customer’s current contract type: Month-to-Month, One Year, Two Year. string
Paperless Billing Indicates if the customer has chosen paperless billing: Yes, No. string
Payment Method Indicates how the customer pays their bill: Bank Withdrawal, Credit Card, Mailed Check. string
Monthly Charges Indicates the customer’s current total monthly charge for all their services from the company. float64
Total Charges Indicates the customer’s total charges, calculated to the end of the quarter specified above. float64
Churn Label Yes = the customer left the company this quarter. No = the customer remained with the company. Directly related to Churn Value. string
Churn Value 1 = the customer left the company this quarter. 0 = the customer remained with the company. Directly related to Churn Label. int64
Churn Score A score from 0-100 calculated using the predictive tool IBM SPSS Modeler, incorporating factors known to cause churn. The higher the score, the more likely the customer will churn. int64
CLTV Customer Lifetime Value. A predicted CLTV is calculated using corporate formulas and existing data. The higher the value, the more valuable the customer. High-value customers should be monitored for churn. int64
Churn Reason A customer’s specific reason for leaving the company. Directly related to Churn Category. string

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Final project for I310D: Introduction to Human-Centered Data Science.

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