What's the Weather Like?

Part 1: WeatherPy

A Python script was used to visualize the weather of 500+ cities of varying distance from the equator. To do so, a simple Python library, the OpenWeatherMap API, and my problem-solving skills were used to create a representative model of weather across cities.

A series of scatter plots were created to showcase the following relationships:

• Temperature (F) vs. Latitude
• Humidity (%) vs. Latitude
• Cloudiness (%) vs. Latitude
• Wind Speed (mph) vs. Latitude

Also, linear regression was computed for each relationship and plots were separated into Northern Hemisphere (greater than or equal to 0 degrees latitude) and Southern Hemisphere (less than 0 degrees latitude):

• 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 2: VacationPy

Jupyter-gmaps and the Google Places API were used to work with weather data to plan future vacations.

A heat map was created to display the humidity for every city from Part 1, as in the following image:

• The DataFrame was narrowed down to find an ideal weather condition. For example:

  • A max temperature lower than 80 degrees but higher than 70.

  • Wind speed less than 10 mph.

  • Zero cloudiness.

  • Any rows that didn't satisfy all three conditions were dropped to ensure the weather is ideal.

• Google Places API was used to find the first hotel for each city located within 5,000 meters of my coordinates.

• Hotels were plotted on top of the humidity heatmap, with each pin containing the Hotel Name, City, and Country, as in the following image:

  

Analyis

1. Temperature correlates well with latitude because as the maximum temperature decreases, there's a direct increase in the distance away from the equator on both hemispheres.

2. There isn't correlation between humidity levels and latitude on the Northern Hemisphere since its humidity levels ranges from 10% and 100%.

3. There isn't correlation between cloudiness and latitude on both hemispheres because the cloudiness levels are scattered across all latitudes.