- Using tools like SQLite, SQLAlchemy, and Flask to build SQL database structures and querying methods to analyze climate data.
- Using Python code and Jupyter Notebook to create graphs from climate data.
- SQLite
- SQLAlchemy - query tool for SQLite
- Flask - web framework that uses Python to build webpages
Seasonal data from Oahu's weather patterns could help determine the prospects of sustaining a business, specifically in this case, a surf and ice cream shop.
Weather patterns from June and December was collected over a period of time. Overall, precipitation and temperature for June and December is relatively close.
June gets an average temperature of 76.2°F, with a standard deviation of ± 3.42. Precipitation between the two months in Hawaii is on average 0.166 ± 0.28 for June and December with 0.20 ± 3.42. Simply, June is a bit warmer with less precipitation and December is a little cooler with slightly higher precipitaiton. The average temperature for the stations throughout the year ranges from 70°F to 75°F.
In addition to temperature, further analysis could be done on:
- Wind speed and the regularity of hurricanes
- Precipitation and foot traffic-does rain actually prevent customers from stopping by the shop