python-api

Whether financial, political, or social -- data's true power lies in its ability to answer questions definitively. So let's take what you've learned about Python requests, APIs, and JSON traversals 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?

Part I - WeatherPy

Using a python library, the openweather API i create a representational model of the weather across 500 cities. The relationships showcased are:

Temperature (F) vs. Latitude

Humidity (%) vs. Latitude

Cloudiness (%) vs. Latitude

Wind Speed (mph) vs. Latitude

Then i ran linear regressions on the following:

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

Part II - VacationPy

Heatmap for weather in 500+ cities with markers for recommended hotels