Year: 2025
Type: article
Abstract: This paper provides a data-driven analysis of remote work salaries, leveraging a real-world dataset processed with Python. The study investigates how industry, experience, employment type, and remote flexibility impact salary and job satisfaction. Insights are visualized using statistical plots and support a broader understanding of global salary trends in remote work environments.
Authors: Ioan Alexandru Vlad, Dacian Tepfenhart
Institution: Technical University of Cluj-Napoca
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7130308145