Temperature showed the strongest reported environmental relationship with mood (p < 0.001).
ARXP // APPLIED DATA SCIENCE
Istanbul Mobility
& Mood Explorer
Explore 974 days of weather, traffic, mobility and aggregate public mood signals from Istanbul between 2020 and 2022.
Explore the daily data
Filter the study period and compare mood with environmental drivers.
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Observations—
Period—
Mean mood—
Selected correlation—
Research findings
Reported results from the original project analysis.
Public-transit mobility was negatively correlated with the aggregate mood index.
Ridge Regression produced the best reported forecasting benchmark in the project.
The weekend effect was statistically significant in the study period.
The analysis did not find evidence for a distinct “Monday blues” effect.
The final merged table spans weather, traffic, mobility and mood-related signals.
Method & attribution
What this demo represents—and what it does not.
The research combines Google mobility indicators, weather observations, traffic indices and an aggregate Google Trends-based mood index for Istanbul.
Collaborative project: Burak Sami Şirin and Arda Çiftçi.
Arda's contribution: statistical analysis and model-selection experiments across regression and classification approaches.
Associations in this historical dataset do not establish causality. This Space is an educational explorer—not a mental-health assessment, real-time forecasting system or policy tool.