WeatherPy

• Generates a random set of a latitude and longitutde coordinates
• Takes those coordinates and finds the nearest city with the citipy
• Finally, uses the OpenWeatherMap API to obtain weather data given those cities, so as to allow analysis on linear relationships between latitude and variables including max temperature, humidity, cloudiness, and windspeed, with the data split between the two hemispheres

WeatherPy Jupyter notebook is inside the WeatherPy directory, with the first four plots and dataframe saved in the output_data sub-directory

VacationPy

• Uses the data from WeatherPy and plots the cities on a map using humidity as the plot size
• Then filters the data to only have cities with idealized weather conditions and using the Geoapify API, finds the nearest hotel to each city and plots that on a map

VacationPy Jupyter notebook is inside the VacationPy directory

Directory structure:

WeatherPy/
├─ WeatherPy.ipynb
├─ screenshot.png
├─ output_data/
│ ├─ Fig1.png
│ ├─ Fig2.png
│ ├─ Fig3.png
│ ├─ Fig4.png
│ ├─ cities.csv
VacationPy/
├─ VacationPy.ipynb