Ready for a trip to Hawaii? Better check the weather there before you go!
Python and SQLAlchemy were used to reflect tables from sqlite database files into SQLAlchemy ORM, to which queries were made with exploratory analysis on Hawaii climate being performed using Pandas library.
Parameters taken into consideration were precipitation in the latest 12 months, temperature recorded by the most active observation station, estimated average temperature for planned trip, and estimated daily normal temperatures for planned trip. Results were visualized by Matplotlib as follows.
Precipitation in the latest 12 months:
Temperature recorded by the most active observation station:
Estimated average temperature for planned trip:
Estimated daily normal temperatures for planned trip:
Moreover, Flask API server was developed upon the aforementioned sqlite database files. Inqueries from customer and data returning thereafter were interfaced through HTML. Application is deployed on Heroku and can be accessed here.
