Skip to content

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.

Notifications You must be signed in to change notification settings

SandraBotica/sqlalchemy-challenge

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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

About

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.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published