CompSci 100e: Program Design & Analysis II(Spring 2009)
Extra Credit: Data Analysis Project
This project is completely open-ended. One of the goals of this course is that you should be able to use the techniques from this course to solve problems on your own. In this project, you will select a data source and perform some sort of analysis on this data.Example projects:
- Red States, Blue States: using US Election Atlas and US Census TIGER data to display election results
- Oracle of Kevin Bacon: using Internet Movie Database data to determine the shortest chain of movies/actors that connects an actor to Kevin Bacon
Grading
This project is extra credit and worth a maximum of 40 points. However, most submissions will be worth far less. You must successfully parse the data from your chosen source and then perform some analysis to receive any credit. In other words, you do not receive points simply for trying.
Submitting/Documentation
Your README should describe:- Collaborators, resources used, and time spent
- The problem you are solving
- How you identified and parsed your data source
- Results of your data analysis
- Abstraction documentation: like an owner's manual - describe how someone else can run your code to run your analysis
- Implementation documentation: how does your code implement the abstraction. What classes and functions did you create? What data structures did you use.
- If you had another month, what else could you do with the data
Submit your code and a README under assignment name data.