Whether financial, political, or social -- data's true power lies in its ability to answer questions definitively. This project aims to answer a fundamental question: "What's the weather like as we approach the equator?"
Now, we know what you may be thinking: "Duh. It gets hotter..."
But, if pressed, how would you prove it?
Create a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator, utilizing a simple Python library, the 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
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