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The Data Analysis Workshop

You're reading from   The Data Analysis Workshop Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839211386
Length 626 pages
Edition 1st Edition
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Authors (3):
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Konstantin Palagachev Konstantin Palagachev
Author Profile Icon Konstantin Palagachev
Konstantin Palagachev
Gururajan Govindan Gururajan Govindan
Author Profile Icon Gururajan Govindan
Gururajan Govindan
Shubhangi Hora Shubhangi Hora
Author Profile Icon Shubhangi Hora
Shubhangi Hora
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Toc

Table of Contents (12) Chapters Close

Preface
1. Bike Sharing Analysis 2. Absenteeism at Work FREE CHAPTER 3. Analyzing Bank Marketing Campaign Data 4. Tackling Company Bankruptcy 5. Analyzing the Online Shopper's Purchasing Intention 6. Analysis of Credit Card Defaulters 7. Analyzing the Heart Disease Dataset 8. Analyzing Online Retail II Dataset 9. Analysis of the Energy Consumed by Appliances 10. Analyzing Air Quality Appendix

Building a Profile of a High-Risk Customer

Based on the analysis performed in the previous sections, we can now build a profile of the customer who is most likely to default. With this predicted customer profile, credit card companies can take preventive steps (such as reducing credit limits or increasing the rate of interest) and can demand additional collateral from customers who are deemed to be high risk.

The customer who satisfies the majority of the following conditions can be classified as a high-risk customer. A high-risk customer is one who has a higher probability of default:

  • A male customer is more likely to default than a female customer.
  • People with a relationship status of other are more likely to default than married or single people.
  • A customer whose highest educational qualification is a high-school diploma is more likely to default than a customer who has gone to graduate school or university.
  • A customer who has delayed payment for 2 consecutive...
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