In this project, I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I utilized a simple Python library, the OpenWeatherMap API, and create a representative model of weather across world cities.
Using Matplotlib to build a series of scatter plots to showcase the following relationships:
- Temperature (F) vs. Latitude
- Humidity (%) vs. Latitude
- Cloudiness (%) vs. Latitude
- Wind Speed (mph) vs. Latitude
- As we approach the equator the temperature increases.
- Since data has been collected in summer the temperatures are warmer in northen hemisphire.
- There is no relationship between city latitude and wind speed, cloudiness and Humidity.
