This project's purposes include retrieving Hawaii's temperature and precipitation data utilizing SQLAlchemy and storing them in a Flask powered JSON dataset. Furthermore, I made use of Matplotlib to analyze Hawaii weather patterns via data visualization.
- Data Cleaning
- Inferential Statistics
- Data Visualization
- Python
- Matplotlib
- Pandas, jupyter
- SQLAlchemy
- SQL
- Flask
- JSON
After accessing the dataset via SQLAlchemy, SQL queries are executed through python to organize data based on its variables. The reorganized data is then deployed as a JSON dataset through the use of the Flask app for future users to access. Additionally, I also utilized Maplotlib to visualize data and uncover crucial patterns of Hawaii weather.
- Feel free to contact team leads with any questions or if you are interested in contributing! #Stephen Zhang