This repository contains different data analysis solutions to challenges issued by Dataquest.io.
Here is a list of the projects contained in this repository:
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Analyzing-Employee-Exit-Surveys: Analysis of exit surveys from employees of the Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) institute in Queensland, Australia.
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Analyzing-NYC-High-School-Data: Analysis of New York City's data on student SAT scores by high school, along with additional demographic data sets.
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Earnings-Based-on-College-Majors: Analysis of a dataset on job outcomes of students who graduated from college between 2010 and 2012. The original data on job outcomes was released by American Community Survey, which conducts surveys and aggregates the data. FiveThirtyEight cleaned the dataset and released it on their Github repo.
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Exploring-Ebay-Car-Sales-Data: Analysis of a dataset of used cars from eBay Kleinanzeigen, a classifieds section of the German eBay website.
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Hacker-News-Posts-Analysis: Analysis of a dataset of submissions to popular technology site Hacker News.
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Popular-Apps-Project: Finding out what different kinds of apps are likely to attract more users on Google Play and the App Store.
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Star-Wars-Survey: Analysis of Star Wars survey results conducted by FiveThirtyEight.
Contributions are what make the open source community a great place to learn, inspire, and create. Any contributions you make are really helpful!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingContribution) - Commit your Changes (
git commit -m 'Add some AmazingContribution') - Push to the Branch (
git push origin feature/AmazingContribution) - Open a Pull Request
Does something seem off? Make sure to report it.