Created a map that displays a point for every city in the city_data_df - Data Frame. The size of the point should be in the humidity in each city. Requirements The requirements for "Part 1: WeatherPy" are the following Create Plots to Showcase the Relationship Between Weather Variables and Latitude (30 points) Use the OpenWeatherMap API to retrieve weather data from the cities list generated in the started code (10 points)
Create a scatter plot to showcase the relationship between Latitude vs. Temperature (5 points)
Create a scatter plot to showcase the relationship between Latitude vs. Humidity (5 points)
Create a scatter plot to showcase the relationship between Latitude vs. Cloudiness (5 points)
Create a scatter plot to showcase the relationship between Latitude vs. Wind Speed (5 points)
Compute Linear Regression for Each Relationship (40 points) Linear regression scatter plot for Northern Hemisphere: Temperature (C) vs. Latitude (5 points)
Linear regression scatter plot for Southern Hemisphere: Temperature (C) vs. Latitude (5 points)
Linear regression scatter plot for Northern Hemisphere: Humidity (%) vs. Latitude (5 points)
Linear regression scatter plot for Southern Hemisphere: Humidity (%) vs. Latitude (5 points)
Linear regression scatter plot for Northern Hemisphere: Cloudiness (%) vs. Latitude (5 points)
Linear regression scatter plot for Southern Hemisphere: Cloudiness (%) vs. Latitude (5 points)
Linear regression scatter plot for Northern Hemisphere: Wind Speed (m/s) vs. Latitude (5 points)
Linear regression scatter plot for Southern Hemisphere: Wind Speed (m/s) vs. Latitude (5 points)
The requirements for "Part 2: VacationPy" are the following (30 points) Create a map that displays a point for every city in the city_data_df DataFrame (5 points)
Narrow down the city_data_df DataFrame to find your ideal weather condition (5 points)
For each city in the hotel_df DataFrame, use the Geoapify API to find the first hotel located within 10,000 metres of your coordinates (10 points)
Add the hotel name and the country as additional information in the hover message for each city in the map. (10 points)