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Created a Python script to visualize the weather of 602 cities across the world of varying distance from the equator using the OpenWeatherMap API
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Created 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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Ran linear regression on each relationship and separated them into Northern Hemisphere and Southern Hemisphere
- Northern Hemisphere - Temperature (F) vs. Latitude
- Southern Hemisphere - Temperature (F) vs. Latitude
- Northern Hemisphere - Humidity (%) vs. Latitude
- Southern Hemisphere - Humidity (%) vs. Latitude
- Northern Hemisphere - Cloudiness (%) vs. Latitude
- Southern Hemisphere - Cloudiness (%) vs. Latitude
- Northern Hemisphere - Wind Speed (mph) vs. Latitude
- Southern Hemisphere - Wind Speed (mph) vs. Latitude
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Created a heat map that displays the humidity for every city and plotted hotel on top of heat map
