What's the weather like as we approach the equator?

Tools, Languages, & Libraries Utilized

Python

Pandas

NumPy

Google Maps API

Open Weather Map API

Requests

Matplotlib

SciPy - Lingress

VS Code

Jupyter Notebook

Use Python requests, APIs, and JSON traversals to answer a fundamental question: "What's the weather like as we approach the equator?"

Contents:

    /output_data - contains csv files with city data set and images of graphs
    /VacationPy - ipynb for generating a heat map for humidity and pull in hotels for certain parameters
    /WeatherPy - ipynb for getting the weather data for a random list and plotting the data

Conclusions:

The plots of temperature vs latitude clearly show that the temperatures are increasing as you get closer to the equator. The increase in temperature is due to this area getting more direct sunlight.

The linear regression of humidity vs latitude indicate that there is not a clear relationship between the two variables. There is a cluster of plots on the higher end of the humidity spectrum near the equator, but our linear regression is nearly flat.

Based on the google maps and heatmap, we can see that the cities that are closer to water, typically have a higher humidity percentage. The scatter plot of latitude vs humidity has a small cluster near the equator, but the rest of the data does not have a clear correlation.