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A Django website for aggregating and graphing Washington State economic data

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WashEcon

A website for aggregating and graphing Washington State economic data


##Project Overview

This website is being designed for UW Economics professor Theo Eicher as a tool to be used by upper-level economics students for class assignments, projects, and individual study.

It is also being designed with a broader audience in mind. The overall goal is to produce a tool that can be used similary to the FRED Economic Data website, but with a focus on Washington state.

Main design considerations include...

  • Simple and clean user experience for people from all economic backgrounds
  • A robust feature set that allows the user a variety of ablities to mainpulate, compare, and export the datasets graphed
  • The ability to display data from as wide a variety of online sources as possible

##Progress Updated as work continues ... Shooting for completion of all 'To Do' features by the start of summer (~ June 2016).

###Completed

  • Home page
  • Browse function for finding data sets
  • General chart display outline finished (HighChart js plugin behaving strangely)
  • Hosted on AWS Elastic Beanstalk platform
  • Rough idea of site's look and feel

In Progress

  • Reformulating Django models to more accurately outline the data being stored by the site
    • nearly finished, needs testing, will merge updates within the week)
  • Front-end abstraction for adding/deleting/manipulating data series entries (Extension of Django's built-in admin feature)
    • Generally implemented - need to add additional features and fine-tune structure. Shooting for this being ready to use by February
  • Clean up code, add comments/additional information
    • Chip away in free time, make sure new code is to standard

To Do

  • Apply styles to entire site
  • Add data to AWS database service (RDS)
  • Fix bugs in graphing displays
  • Additional features allowing for more extensive data manipulation

##Tools Used

Site is being built in Python using the Django Web framework (https://www.djangoproject.com/)

Using HighCharts JavaScript plugin (http://www.highcharts.com/) for data visualisation, and Requests Python library (http://docs.python-requests.org/en/latest/) for HTTP requests

Making extensive use of jQuery for front-end development

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A Django website for aggregating and graphing Washington State economic data

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