Climate Analysis: Honolulu, HI

• This project investigates expected weather for a trip to Hawaii in July-August 2019.

• 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.

• Then developed an API that allows data calls from a SQLite database using SQLAlchemy and Flask.

• 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.

• Utilizes VSCode to create Flask API for queries developed in this notebook. (Please refer to app.py for code and additional information.)

Resources:

• hawaii.sqlite: Utilized throughout project via SQLAlchemy and includes all data from both csv documents listed below.

• hawaii_measurements.csv

• hawaii_stations.csv

Images:

• 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