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### [Project 6](MySQL_port.md)
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## [Insights into Dog Behavior: Analyzing Dognition Data with MySQL](MySQL_port.md)
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#### Project Overview
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The goal of this project is to utilize MySQL queries to perform analysis of trends and relationships embedded within the Dognition database. Developed as a fundamental component of the ‘Managing Big Data with MySQL’ course from Duke University, the project focuses on refining and applying skills in data cleaning, sorting, and employing advanced analytical techniques using SQL. By exploring large datasets such as the Dognition database, the project aims to uncover meaningful insights into canine behavior patterns and preferences, leveraging robust data management practices to extract actionable intelligence for further research and practical applications in understanding and enhancing dog-human interactions.
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###### Skills Applied: MySQL, Writing Queries, Data Cleaning, and Big Data
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#### Figure 9: Top States by Number of Dognition Users
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##### This MySQL query analyzes geographical user trends within the Dognition dataset, resulting in a table that lists the top 5 states with the highest number of Dognition users.
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<img src="state_users.png" width="720" />
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[Project 3: Discovering Similar Songs using Machine Learning and Spotify](https://www.kaggle.com/code/zacharyraup/discovering-similar-songs)
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[Project 4: Predictive Maintenance in Manufacturing](https://www.kaggle.com/code/zacharyraup/predictive-maintenance-in-manufacturing)
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[Project 5: Utilizing MCMC in Python to Explore the Parameter Space of an Exoplanet Transit](TOI4153_port.md)
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[Project 6: Insights into Dog Behavior: Analyzing Dognition Data with MySQL](MySQL_port.md)
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% [Project 5: Predicting Diabetes Using Machine Learning | Comparison of Classification Models](PDML.md)
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% [Project 6: Utilizing MCMC in Python to Explore the Parameter Space of an Exoplanet Transit](TOI4153_port.md)
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% [Project 7: Insights into Dog Behavior: Analyzing Dognition Data with MySQL](MySQL_port.md)
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% [Project 8: Interactive Animation of Museum Visitor Paths and Hourly Room Traffic in Tableau](MuesTabl.md)
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