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Module 10 Challenge is a climate analysis of a vacation destination. SQLAlchemy ORM queries, Pandas and Matplotlib used for climate data exploration. Precipitation and Stations data converted to json and linked to Flask API.

Jupyter Notebook 96.01% Python 3.99%
flask-api json-api matplotlib orm-framework pandas-dataframe sqlalchemy

sqlalchemy-challenge's Introduction

sqlalchemy-challenge

In the SurfsUp folder you will find:

  1. climate_starter.ipynb This jupyter notebook file contains: Part 1: An analysis and exploration of the climate data including the Precipitation and Station anlysis.
  2. app.py This python file is the design of the climate app.
  3. app.ipynb This jupyter notebook file contains my checks on the cliamte app script I had written as a trial, when I was finding errors in the app.py.

I have done my best to also address the marking key expectations from bootcampspot, including: 1. Coding conventions and formatting. 2. Deployment and submission 3. Comments.

Enjoy marking this assignment/challenge. Sandra

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