This page was created to showcase the use of Pandas and Matplotlib to analyse and visualise the weather of 500+ cities around the world.
Relationships analysed included: Temperature (C) vs. Latitude, Humidity (%) vs. Latitude, Cloudiness (%) vs. Latitude, and Wind Speed (kph) vs. Latitude.
Data and visualisations are are provided as part of the analysis, including explanations and descriptions of trends and correlations.