Write a function that categorises sales performance with header: function [category, performance_data] = sales_performance(sales_data, ID) Inputs: sales_data - A 4 column matrix containing Item IDs, Price, Quantity and Revenues ID - A scalar representing the item ID to categorise. Outputs: category - A string indicating the revenue performance category performance_data - A three element row vector for Price, Quantity and Revenue for the item ID taken from sales_data. The performance is calculated based on the following criteria based on the revenue: Revenue outside the top 50% returns: category = 'Low Performing' Revenue inside the top 50% to 75% returns: category = 'Medium Performing' Revenue inside the top 75% to 95% returns: category = 'High Performing' Revenue inside the top 5% return returns: category = 'Top Performing' If no matching ID found or more than one ID then your function should produce an error - 'Not a unique ID number
Write a function that categorises sales performance with header: function [category, performance_data] = sales_performance(sales_data, ID) Inputs: sales_data - A 4 column matrix containing Item IDs, Price, Quantity and Revenues ID - A scalar representing the item ID to categorise. Outputs: category - A string indicating the revenue performance category performance_data - A three element row vector for Price, Quantity and Revenue for the item ID taken from sales_data. The performance is calculated based on the following criteria based on the revenue: Revenue outside the top 50% returns: category = 'Low Performing' Revenue inside the top 50% to 75% returns: category = 'Medium Performing' Revenue inside the top 75% to 95% returns: category = 'High Performing' Revenue inside the top 5% return returns: category = 'Top Performing' If no matching ID found or more than one ID then your function should produce an error - 'Not a unique ID number
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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Write a function that categorises sales performance with header:
function [category, performance_data] = sales_performance(sales_data, ID)
Inputs:
sales_data - A 4 column matrix containing Item IDs, Price, Quantity and Revenues
ID - A scalar representing the item ID to categorise.
Outputs:
category - A string indicating the revenue performance category
performance_data - A three element row vector for Price, Quantity and Revenue for the item ID taken from sales_data.
The performance is calculated based on the following criteria based on the revenue:
- Revenue outside the top 50% returns: category = 'Low Performing'
- Revenue inside the top 50% to 75% returns: category = 'Medium Performing'
- Revenue inside the top 75% to 95% returns: category = 'High Performing'
- Revenue inside the top 5% return returns: category = 'Top Performing'
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