In this project, I sought to analyze weather patterns based on distance to the equator. I utilized Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I utilizing a simple Python library, the OpenWeatherMap API to create representative models of weather across world cities. I first assembled a dataset of more than 500 cities using the citipy python library and python to randomly generate coordinates to get the nearest city. Then I use this list of cities to get the weather using the OpenWeatherMap API. Using MatPlotLib, I used each city's maximum temperature, humidity, cloudiness, or wind speed and plotted the data with the latitude on the appropriate graphs.
