Explore Climate Data!

Plot shows that the temperature is lower near the poles.

This website showcases results from a previous assignment which can be found in the Python-API repository. It includes Weather Data from 700+ cities across the world. Interactive plots were generated using plotly, matplotlib, and pandas to visualize the relationship of various factors like temperature, humidity, cloudiness and wind speed plotted against latitude.
A weather check was performed on each of the cities using a series of successive API calls from OpenWeatherMap. Then plotted against latitude using Matplotlib.


Visualizations

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