Summary: Latitude vs. Longitude

Temperature Graph

The purpose of this project was to analyze how the weather changes as one gets closer to the equator. To accomplish this analysis, data was obtained from the OpenWeatherMap API to assemble a dataset on over 500 cities, world-wide.

After assembling the dataset, Python Pandas and Matplotlib were employed to plot various aspects of the weather verses the latitude. Factors included: temperature, cloudiness, wind speed, and humidity. This site provides the source data and visualizations created as part of the analysis, as well as explanations and descriptions of any trends and correlations observed.

Visualizations
Temperature Graph
Humidity Graph
Cloudiness Graph
Wind Speed Graph