The purpose of this project was to analyze the changes in weather experienced in different cities around the world at different latitiudes. Does a given city's distance from the equator suggest any predictable weather trends? To accomplish this analysis, OpenWeatherMap API was utilized to assemble the dataset to create a representative model of weather across world cities.
Matplotlib was used to build a series of plots to showcase the relationships regarding several variables of weather vs. latitude. Relationships analyzed included: Temperature (F) vs. Latitude, Humidity (%) vs. Latitude, Cloudiness (%) vs. Latitude, and Wind Speed (mph) vs. Latitude.
Data and visualizations are are provided as part of the analysis, including explanations and descriptions of observed trends and correlations.