Short project to analyze software engineers at Google.
Data Sources:
Code Files:
- LinkedInScraper.py: main file for scraping LinkedIn
- Locator.py: Finds locations of places
- DataCleaner.py: Does additional cleaning of data
- Untitled.ipynb
Data Files:
- education.csv: education data
- experiences.csv: work experience data
- datasets_23752_30346_countries of the world.csv: Countries of the world data
Libraries Used:
- Selenium
- Pandas
- Plotly
Motivation:
To understand the backgrounds of software engineers at Google
Summary of results:
Of this random sample of software engineers at Google:
- The majority have at least a Master’s degree
- They study CS
- The vast majority are not American
Blog post:
https://medium.com/@cosmos1990/what-are-the-backgrounds-of-software-engineers-at-google-5edee41d37e6