What's the Weather Like?

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

Part I - WeatherPy

Create a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.

Objective

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

Run linear regression on each relationship while comparing the Northern Hemisphere and the Southern Hemisphere

• Random latitude and longitude coordinates were generated and saved to a list. Nearest city name from the coordinates was found using the citipy python library
• Weather check was performed on each of the cities using a series of successive API calls to OpenWeatherMap API to get JSON data
• Data was loaded in a pandas dataframe and exported to a CSV file
• Plots were made using matplotlib

Part II - VacationPy

Objective

• Create a heat map that displays the humidity for every city from the part I - WeatherPy
• Filter data to find cities with ideal weather conditions: max temperature lower than 80 degrees but higher than 70, wind speed less than 10 mph and zero cloudiness
• Use Google Places API to find the first hotel for each city located within 5000 meters.
• Plot the hotels on top of the humidity heatmap with each pin containing the Hotel Name, City and Country.