World_Weather_Analysis

Overview of the World_Weather_Analysis:

Jack loves the PlanMyTrip app. Beta testers love it too. And, as with any new product, they’ve recommended a few changes to take the app to the next level. Specifically, they recommend adding the weather description to the weather data you’ve already retrieved in the module. Then, you'll have the beta testers use input statements to filter the data for their weather preferences, which will be used to identify potential travel destinations and nearby hotels. From the list of potential travel destinations, the beta tester will choose four cities to create a travel itinerary. Finally, using the Google Maps Directions API, you will create a travel route between the four cities as well as a marker layer map.

Results:

Retrieve Weather Data

Weather data was retrieved using the following code Weather_Database.ipynb

Retrieved csv fileWeatherPy_Database.csv

Create a Customer Travel Destinations Map

Marker layer map with pop-up markers for the cities in the vacation DataFrame is created using the code Vacation_Search.ipynb Retrieved csv fileWeatherPy_vacation.csv

Create a Travel Itinerary Map

Use the Google Directions API to create a travel itinerary that shows the route between four cities chosen from the customer’s possible travel destinations. Then, create a marker layer map with a pop-up marker for each city on the itinerary. The Jupyter Notebook file used here to get the data was Vacation_Itinerary.ipynb The directions layer map

The marker layer map with a pop-up marker for each city