PlanMyTrip app is a top travel technology company that specializes in internet related services in the Hotel and Lodging industry. Jack is the head of analysis for the user interface team. I have been helping Jack to collect and present data for customers based on their preferred criteria. The final purpose of this project is to recommond a travel itinerary of four cities to users.
There are three sections in this project:
- In this section, I generated 2000 pair of latitudes and longitudes and identified 768 cities from the coordinates.
- Using citipy API, I tried to scrape the following information for each city: latitudes & longitudes, max temperature, humidity, cloudiness, wind speed, weather description and country. Eventually, I successfully gathered information for 703 out of the 768 cities, put them into a DataFrame and exported to a csv file.
The Weather_DataBase.ipynb file
The WeatherPy_Database.csv file
- 703 cities are narrowed down to 222 cities by applying a preference criterion: min and max temperature.
- Using gmaps API, I found a hotel nearby each city and created a DataFrame to hold destination information and the hotel name. The DataFrame was exported as a csv file.
- A map with marker and info box is generated for the vacation search.
The Vacation_Search.ipynb file
The WeatherPy_vacation.csv file
The WeatherPy_vacation_map.png image
- Finally, four cities were chosen to create a final travel itinerary. Start & end: Xuanzhou; stop1: Pingdingshan; stop2: Hanzhong; stop3: Yongan.
- By using the Google Maps Directions API, I created a travel route by driving between the four cities within marker layer map.
- Lastly, map with marker and info box for only these four cities was created and exported.
The Vacation_Itinerary.ipynb file
The WeatherPy_travel_map.png image
The WeatherPy_travel_map_markers.png image
