JKISeason 4-8 - Airline Customer Loyalty

<p><strong>Challenge 8: Airline Customer Loyalty</strong></p><p><strong>Level: </strong>Easy<br><br><strong>Description:</strong> You work for a Canadian airline company that wants to better understand its most loyal customers. Before creating personalized offerings for this group, the company needs to uncover their demographics from the available data. As a data scientist, your task is to identify how these loyal customers are distributed across different demographic segments—such as gender and marital status—in each city. Who are the most loyal customers and how are they segmented in different locations? <strong>Hint 1:</strong> You can use loyalty points for calculating a basic loyalty score or combine multiple factors to create a more comprehensive one.<br><br><em>Beginner-friendly objectives:</em> 1. Calculate Loyalty for each user; 2. Extract the most loyal users along with their information; 3. Find out how these customers are distributed in different demographic groups in each city.<br><br><strong>Author:</strong> <strong>Babak Khalilvandian</strong><br><br><strong>Dataset: Airline Customer and Loyalty Data in KNIME Community Hub</strong><br><br>Remember to upload your solution with tag&nbsp;<strong>JKISeason4-8</strong>&nbsp;to your public space on KNIME Community Hub. To increase the visibility of your solution, also post it to&nbsp;<strong>this challenge thread</strong>&nbsp;on KNIME Forum.</p>