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# Wave and Value


Preferred citation (DataCite format):  
  Lucha, Roberto (2020). Wage & Value.
  University of Arizona Research Data Repository.
  Figure. https://doi.org/10.25422/azu.data.12410885


Corresponding Author:   
  Roberto Lucha, University of Arizona, rlucha@email.arizona.edu


License:
  CC BY 4.0


DOI:
  https://doi.org/10.25422/azu.data.12410885


## Summary

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




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## Files and Folders


Wage & Value.pdf: PDF file containing data visualization



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## Additional Notes


This item is part of University of Arizona Libraries 2020 Data Visualization Challenge, which is available here:
https://doi.org/10.25422/azu.data.c.4986770

References:
https://www.kaggle.com/ljanjughazyan/wages?select=wages.csv