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Used Python and SQLAlchemy to do basic climate analysis and data exploration on the climate database. The analysis uses SQLAlchemy ORM queries, Pandas, and Matplotlib.

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README.md

climate_starter

For this project there are 2 steps:

  1. Climate Analysis & Exploration

a. You can view the source code at climate_starter.ipynb
b. For graphs
Precipitation Analysis
Precipitation Analysis


Station Analysis
Station Analysis


Temperature Analysis
Temperature Analysis


Predicated Temperature Analysis
Predicated Temperature Analysis


  1. Climate app

Use of Flask & SQLAlchemy to create different routes for the above generated graphs.
a. Following routes were created:
/
/api/v1.0/precipitation
/api/v1.0/stations
/api/v1.0/tobs
/api/v1.0/<start>
/api/v1.0/<start>/<end>
b. You can view the source code at climate_app.py

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Used Python and SQLAlchemy to do basic climate analysis and data exploration on the climate database. The analysis uses SQLAlchemy ORM queries, Pandas, and Matplotlib.

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