Data Science Project: Excel-Based Diet Problem Optimization
VerifiedAdded on 2019/09/16
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Project
AI Summary
This project focuses on solving the Diet Problem, a classic optimization challenge, using data science and Excel. The goal is to determine the most cost-effective combination of foods that meets specific daily nutritional requirements. The assignment requires building Excel spreadsheets to present food and nutrition data, as well as historical consumption information. A user interface is to be developed, including forms for food selection, data updates, and solution presentation. The solution form will display the optimal diet, allowing for user updates and sensitivity analysis. The project also includes designing a logo, creating reports detailing the solution and sensitivity analysis, and plotting daily calorie and cost data. The reference provided is Winston's 'Operations Research: Applications and Algorithms'. The project demonstrates practical application of linear programming and data analysis techniques to solve real-world problems.
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