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  • Backlog

    A Backlog for our project sprints.

    No due date
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  • Sprint 4

    The goal for the Backend Team is to successfully setup the apps within Django to allow for an easy transition of existing python code from the Data Analysis Team. The goal for both teams at this point is to successful integrate existing Data Analysis code into the Django application. The end result should be a web app that asks for the user input that was previously entered using the command line in previous sprints. Both teams should also work on UI to make the web app relatively appealing, although simplistic.

    Overdue by 7 year(s)
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    Due by November 16, 2018
    •3/3 issues closed
    100% complete0 open3 closed

  • Sprint 3

    The goal for the Database Team is to transition towards a Backend Team and begin work on a web application. The team should successfully deploy a Django application that queries the Google Cloud SQL database. The goal for the Data Analysis Team is to include more output for the user as described in section IV, including visualizations using a JavaScript framework (i.e. D3.js or Chart.js).

    Overdue by 7 year(s)
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    Due by November 9, 2018
    •4/4 issues closed
    100% complete0 open4 closed

  • Sprint 2

    The goal for the Database Team is to download, clean, and insert twenty quarters of data (i.e. 2015-2018) into the SQL database. This might involve writing a script to do the insertions and possibly finding away to avoid manually downloading 40 CSV files. The goal for the Data Analysis Team is to write a program that returns a list of airports within a driving range of x miles of a user. This list should contain the average cost of a ticket from that airport to the destination airport specified by the user. The driving distance to the source airports, along with an estimated driving cost (using a general, national average of gas prices), should also be part of the list.

    Overdue by 7 year(s)
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    Due by October 26, 2018
    •7/7 issues closed
    100% complete0 open7 closed

  • Sprint 1

    Set up the development environment for the team to use. This includes getting a Google Cloud SQL instance running and a requirements.txt document for everyone to install the dependencies locally. The goal for the Database Team is to download, clean, and insert at least one quarter of data into the SQL database (i.e. 2018 Quarter 1). The goal for the Data Analysis Team is to properly set up data retrieval and execute basic queries against the database.

    Overdue by 7 year(s)
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    Due by October 12, 2018
    •3/3 issues closed
    100% complete0 open3 closed