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HoneyBadgers:

Intro to Big Data project created by Team Honey Badgers, featuring Mark Petrie, Val Booth, and Nick Jenis.

Overview:

This project was done for the Intro to Big Data class at RIT. Team Honey Badgers created a Windows Python App that allows you to filter and make graphs of three years worth of FAFSA dependency filing data representing every college/university in the US, along with outside territories. Data was retrieved from data.gov and represents every quarter from Q1 2013 to Q3 2016.

Tech Stack:

To Use the App:

  • Download zip file from here.
  • Extract the folder named app_main from the app_main.zip file.
  • Enter the folder and find the file app_main.exe.
  • Double click the file to launch the application. You may receive a pop up that says, "The publisher could not be verified. Are you sure you want to run this software?" Please select the 'Run' option.
  • Wait a moment and the 'Plot' GUI window will open.

More Info:

Feel free to read the final, ACM style paper for this project here.

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