Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.
OpenWeatherMap API and a little common sense to create a representative model of weather across world cities.
The objective is 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
- Latitude vs Max Temperature shows normal distribution as the equator middle point.
- Latitude vs Humidity tends to behave normal distribution as the equator middle point.
- Latitude vs Cloudiness shows constant correlations.
- Latitude vs Wind Speed shows that wind is picking up in Northern hemisphere comparing Southern hemisphere. Less windy around the equator.