Leveraging a Python library that generates cities based on latitude and longitude, and the OpenWeatherMap API, I have created a representative model of weather accross world cities.
My report includes a series of scatter plots showcasing the following relationships:
- Temperature (F) vs. Latitude
- Humidity (%) vs. Latitude
- Cloudiness (%) vs. Latitude
- Wind Speed (mph) vs. Latitude
To generate these scatter plots, I have taken the following steps:
- I randomly selected over 500 unique (non-repeat) cities based on latitude and longitude.
- I performed a weather check on each of the cities using a series of successive API calls.
- I included a print log of each city as it's being processed with the city number and city name.
- I saved both a CSV of all data retrieved and png images for each scatter plot.
- APIs
- Jupyter Notebook
- Libraries used: Pandas, Matplotlib, Numpy
Contact: jorge.arriola.villafuerte@gmail.com