Create a weather climate map using python and the Web API.
-
Configure cities by Latitude and Longitude as their locations and Humidity as their weight.
-
Create a weather criteria that organizes each city by index number, City ID, City Name, Cloudiness, Country Initials, Date, Humidity, Latitude, Longitude, Max Temperature, and Wind Speed.
-
Find Hotels in countries worldwide by using Google Places API for each city's coordinates.
-
Discovered Hotels would be saved in the new .csv file named under hotel_data_new.csv file.
- Generate a city lists by using Citipy.
- Perform a weather check on each city using a series of successive API calls.
- Export the city data into a .csv file named under city_data.csv file.
- Plot each data for:
- Latitude vs. Temperature
- Latitude vs. Humidity
- Latitude vs. Cloudiness
- Latitude vs. Wind Speed
- Find a linear regression for temperature, humidity, cloudiness, and wind speed on both Northern and Southern Hemisphere.