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<!--Your Github repository must have the following contents:
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A README.md file that communicates the libraries used, the motivation for the project, the files in the repository with a small description of each, a summary of the results of the analysis, and necessary acknowledgments.
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Your code in a Jupyter notebook, with appropriate comments, analysis, and documentation.
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You may also provide any other necessary documentation you find necessary.-->
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# stacksurvey
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**stacksurvey** is an exploration and analysis of data from StackOverflow's developer survey of 2024.
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[https://survey.stackoverflow.co/2024/](https://survey.stackoverflow.co/2024/)
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The motivation for project is satisfying a class assignment. Eventually, an interesting (enough) topic was discovered in the data set:
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What is the annual compensation (y) over years of experience (x) of deveopers who use a programming language from a specific country?
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## Requirements
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numpy pandas sklearn matplotlib seaborn
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## Summary of Analysis
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*For the purpose of this analysis, (data) scientists and researchers are also considered developers.*
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The models generated by the notebook become less reliable for incomes greater than $200,000 per year and years of experience after 10.
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