The purpose of the project was to analyse how weather changes as you get closer to the equator. To accomplish this analysis, random 1500 Latitude and Longitudes have been selected, then Python CitiPy library has been to find the city closest to the Lat/Lon (dropping all duplicates) to get a listing of over 500 cities. The weather data has been pulled from OpenWeatherMapAPI for the cities (dropping cities with no data) to create a dataframe of weather information for over 500 cities.

After assembling the dataset, I used matplotlib to plot the various aspects of the weather Vs Latitude. Following relationships has been analyzed.

• Temperature (F) vs. Latitude
• Humidity (%) vs. Latitude
• Cloudiness (%)) vs. Latitude
• Wind Speed (%) vs. Latitude

This site provides the source data and visualizations created as part of the analysis, as well as explanations and descriptions of any trends and corelations witnessed.