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Wage & Value

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posted on 03.06.2020 by Roberto Lucha
This visualization, titled "Wage & Value" was submitted by Roberto Lucha to the University of Arizona Libraries 2020 Data Visualization Challenge. It received the third place win within the undergraduate classification.

Submitted abstract:
This Wage dataset was gathered from a user on Kaggle. To begin, I started with an exploratory data analysis to see the contents of the data. The data focuses primarily on Salary, Height, Sex, Race, Years of Education, and Age. A degree of preprocessing was required to further make use of the data. A linear regression model was used to determine correlations between salary and features within this dataset. Data was further preprocessed, and classification methods were used to make machine learning algorithms to make further inferences about our groups. A brief description of the findings have been included in the submission with each graph



For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

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