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sqlalchemy_flask_weather_api's Introduction

sqlalchemy-challenge

This script that allows beginners to query a sqlite database using SQLAlchemy and complete the following:

  • Create an engine, connection, and session to query precipitation data from Hawaii weather stations.

  • Query specific dates and station locations.

    • Load query results into dataframes using pandas to run statistical analysis and create visualizations.

After exploring the database using SQLAlchemy, the app.py script uses Flask to create a Flask API based on queries developed in jupyter notebook.

Output-Preview

prcp_bar.png

temp_hist.png

trip_error_bar.png

trip_stacked.png

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