As an airline analyst you are presented with a data file that captures flight travel data for every cust over a one week period. The data file consists of: Customer ID • Gender • Customer Type (Loyal or Disloyal) Age Type of Travel (Business or Personal) • Class (Business, Economy or Economy Plus) Flight Distance (in miles) You are required to provide the following: 1. Number of business and personal flights (by type of travel) taken by females and males. 2. Business flights as a percentage of total flights taken by females. 3. Business flights as a percentage of total flights taken by males. 4. Personal flights as a percentage of total flights taken by females. 5. Personal flights as a percentage of total flights taken by males.
As an airline analyst you are presented with a data file that captures flight travel data for every cust over a one week period. The data file consists of: Customer ID • Gender • Customer Type (Loyal or Disloyal) Age Type of Travel (Business or Personal) • Class (Business, Economy or Economy Plus) Flight Distance (in miles) You are required to provide the following: 1. Number of business and personal flights (by type of travel) taken by females and males. 2. Business flights as a percentage of total flights taken by females. 3. Business flights as a percentage of total flights taken by males. 4. Personal flights as a percentage of total flights taken by females. 5. Personal flights as a percentage of total flights taken by males.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Note: Please do this in Python 3
The format of the data file is in CSV (excel).
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