The purpose of this project is to analyze and visualize how weather changes as you approach the equator. To accomplish this analysis, we first pulled data from the OpenWeatherMap API to assemble a dataset containing weather information on over 500 cities across the world, each with a varied distance from the equator. The Citipy library is used to find nearest cities.

After assembling the dataset, we used Matplotlib to plot various aspects of the weather vs. latitude. Factors we considered included: maximum temperature (F), cloudiness (%), wind speed (mph), and humidity (%). This site provides the source data and visualizations created as a part of this analysis, as well as explanations and descriptions of any trends and correlations witnessed.