Climate Data Analytics Dashboard
Climate Data Analytics Dashboard
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This UofT CREATE project focused on analyzing historical Heathrow Airport weather data to identify seasonal patterns and long-term trends in variables such as pressure, temperature, precipitation, sunshine, and global radiation. Using Pandas and sqlite3, we cleaned and explored the dataset, then built visualizations and a dashboard to communicate the most meaningful findings in a clear, accessible way.
Key Findings
High pressure and low precipitation: Days with pressure above roughly 103 kPa were rarely associated with precipitation.
Higher pressure, more sun: Higher-pressure days tended to correlate with greater global radiation and sunshine.
Warming over time: Mean temperature showed an upward long-term trend, while global radiation remained relatively constant
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Higher-pressure days generally aligned with greater global radiation, suggesting clearer and sunnier conditions.
Precipitation became far less common at higher atmospheric pressures, with rainfall appearing rarely above ~103 kPa.
A similar positive relationship appeared between pressure and sunshine duration.
The temperature series showed strong seasonal cycles along with a gradual increase over time.
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