Climate Analysis: Honolulu, HI
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This project investigates expected weather for a trip to Hawaii in July-August 2019.
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I modeled and analyzed fictional weather data for Hawaii, collected at various weather stations, to predict typical weather during said trip within climate_analysis.ipynb.
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Then developed an API that allows data calls from a SQLite database using SQLAlchemy and Flask.
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Utilize Python and SQLAlchemy to do basic climate analysis and data exploration of the climate database. All of the following analysis is completed using SQLAlchemy ORM queries, Pandas, and Matplotlib.
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Utilizes VSCode to create Flask API for queries developed in this notebook. (Please refer to app.py for code and additional information.)
Resources:
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hawaii.sqlite: Utilized throughout project via SQLAlchemy and includes all data from both csv documents listed below.
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hawaii_measurements.csv
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hawaii_stations.csv
Images:
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Includes 4 total .png files created via Matplotlib within the Jupyter Notebook.
- precipitation_plot.png
- temperature_histogram.png
- trip_avg_temp.png
- daily_normals.png