Data science and STEM Salaries

This jupyter notebook performs exploratory data analysis(EDA) on 62,000 salary records from top global companies.

Prerequisites

pip install -r requirements.txt

Salaries in top-50 IT companies

Salaries and titles

Clustering

Dataset

Context

62,000 salary records from top companies. This data was scraped off levels.fyi and then I cleaned it up a tad.

Content

This dataset contains useful information such as education level, compensation (base salary, bonus, stock grants), race, and more.

Acknowledgements

This dataset uses the technique in this article to get the data, but uses a different cleaning techniques.

https://towardsdatascience.com/a-beginners-guide-to-grabbing-and-analyzing-salary-data-in-python-e8c60eab186e