A DATA-DRIVEN ANALYSIS OF REMOTE WORK SALARIES AND SATISFACTION

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

Institutions

Publication Details

Journal
Carpathian Journal of Electrical Engineering
Published
2025-12-31
DOI
https://doi.org/10.34302/cjee/meiz3377
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A DATA-DRIVEN ANALYSIS OF REMOTE WORK SALARIES AND SATISFACTION

Dacian Tepfenhart, Ioan Alexandru Vlad
Carpathian Journal of Electrical Engineering
Digital Economy and Work Transformation
article

A DATA-DRIVEN ANALYSIS OF REMOTE WORK SALARIES AND SATISFACTION

Dacian Tepfenhart, Ioan Alexandru Vlad
article en

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.

Carpathian Journal of Electrical EngineeringVol. 1(19)
Technical University of Cluj-Napoca (RO)
Decent work and economic growth
Openalex Percentile: Top 14%
Digital Economy and Work Transformation
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A DATA-DRIVEN ANALYSIS OF REMOTE WORK SALARIES AND SATISFACTION — Dacian Tepfenhart, Ioan Alexandru Vlad · Carpathian Journal of Electrical Engineering (2025) | TGRS Research Map | TGRS