python-api-challenge

Part 1: WeatherPy

Use Python requests, APIs, and JSON traversals to analyze weather data

I created a Python script to visualize weather data of over 500 cities at different distances from the equator

1. In order to create the list of cities I created a set of random latitude and longitude combinations, used the citipy library to find the nearest city, and stored the name of the city and the latitude and longitude in a list. I used len() to confirm the list of cities was longer than 500, it was 626.
2. I used the OpenWeatherMap API to retrieve weather data from the cities list generated in the starter code and created a series of scatter plots to showcase the following relationships: - Latitude vs. Temperature - Latitude vs. Humidity - Latitude vs. Cloudiness - Latitude vs. Wind Speed
3. I computed the linear regression for each relationship, and included the linear regression line, the model's formula, and the r values.

• The following were created:
  • Northern Hemisphere: Temperature vs. Latitude
  • Southern Hemisphere: Temperature 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 vs. Latitude
  • Southern Hemisphere: Wind Speed vs. Latitude

Part 2: VacationPy

Use the Geoapify API and the geoViews Python library to create map visualizations

1. I imported the list of cities stored in the cities.csv file from Part 1 and stored the data in a dataframe.
2. I used the gmaps library to create a heatmap that displayed each city and the humidity of each city determined the size of the marker.
3. I created a new dataframe that included only cities where the maximum temperature was below 27 and above 21, a humidity below 70%, no cloudiness, and wind speed below 4.5 mph.
4. I added a Hotel Name column and used gmaps to search hotels within 10000 meters from each city and stored the closest hotel to the latitude and longitude set for each city.
5. I created a heatmap with the locations with my ideal weather with hover messages that showed where the hotels are, and created a display box showing the city name, hotel name, and country.