A Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.
Randomly select ~ 500 unique cities based on latitude and longitude.
Python library used -citipy 0.0.5
Performed a weather check on each of the cities using a series of successive API calls.
Weather API (https://openweathermap.org/api)
CSV of data retrieved: contains detail of cities analyzed, saved in as csv file:- Python-api-challenge/WeatherPy/output_data/ cities.csv
Data extraction, data analysis and visualization : Jupyter Notebook
Images : Scatter Plots
Temperature (F) vs. Latitude temp
Humidity (%) vs. Latitude humidity
Cloudiness (%) vs. Latitude cloudiness
Wind Speed (mph) vs. Latitude windspeed
