Working-from-Home Life & Burnout
A data story exploring the relationship between remote work conditions and burnout, based on a dataset of 1,600 survey responses — with findings that challenge common assumptions.
Overview
This data story explores the reasons behind burnout in the context of remote and hybrid work. Drawing on a dataset with 1,600 samples, it tests common assumptions about what drives burnout — and surfaces patterns that may surprise you.
Methodology
Survey data was cleaned and structured using Python. Relationships between work conditions, autonomy, social factors, and reported burnout were explored through a series of interactive visualisations built with D3.js.
Findings
Contrary to a common narrative, the physical environment of remote work was less strongly linked to burnout than task completion.
Takeaways
Open datasets on workplace conditions offer rich material for data stories that go beyond surface-level correlations — and challenge received wisdom about how we work.
Data Sources
Ratings use the ODON Open Data Maturity Model (ODMM).
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Work From Home Employee Burnout Dataset
Legal L3 Published on Kaggle under a custom dataset licence that permits non-commercial use with attribution. Redistribution and commercial use require separate permission — placing it at L3 (open with conditions).
Technical T3 Provided as a single structured CSV file downloadable directly from Kaggle. Well-formed tabular format, no specialist tooling required — T3.
Tools Used
- Python
- D3.js