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Bokeh visualizations embedded in Flask, deployed on Heroku.

This project plots stock data from the WIKI Quandl database for February 2018 using Git, Flask, Pandas, Heroku, and Bokeh for visualization:

https://www.quandl.com/databases/WIKIP/data

File Organization and Function

  • app.py - Main application that handles URL routing, plot generation and dynamic Bokeh scripts

  • requirements.txt - Handles all necessary packages for running app.py

  • templates

    • index.html - Landing page

    • graph.html - Page where embedded Bokeh visualization is shown

  • conda-requirements.txt - Handles all packages available within conda

  • Procfile.txt - Declares what command should be executed to start the app

  • runtime.txt - Specifies what version of Python to run with this app

About

This project plots stock data from the WIKI Quandl database using Git, Flask, Pandas, Heroku, and Bokeh for visualization

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  • HTML 53.6%
  • Python 46.4%