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Technical Breakdown

1 / Assets & Resources

One of the most important assets is data. The dataset we primarily used comes from the CORGIS Dataset Project, which is a large public database. Our CSV file contains information regarding SAT scores and breaks these scores down into two categories: Verbal and Math. The platform we chose is Wix, which is convenient for group work. By using this platform, we saved a lot of time when exchanging work and making updates. The physical equipment we used is members' personal computers. 

2 / Services

As previously stated, the platform we choose is Wix. By using Wix we saved a lot of time on exchanging work and editions. Python, R, and Jupyter Notebooks were used to process our data and create visualizations. Google Docs were used to develop the storyboard, narrative, data critique, and annotated bibliography for this project.

To create our graphs and other data visualizations, we utilized the NumPy and seaborn libraries in Python and the dplyr package in R as fast and effective ways of simplifying and visualizing raw data.  Our project was designed with a clear mission, to "help people see and understand data."

Since this class is a remote summer session course, in-person teamwork was difficult to organize. Therefore, we chose to use Zoom to meet up with our fellow team members and collaborate. Zoom meetings gave us a space for screen-sharing, voice discussions, and text communication.

3 / Interface Methods

Our interface involved designing and developing an intuitive and user-friendly platform for users to explore the correlation between state residency/household income and SAT scores. Through thoughtful layout and visual elements, we aimed to provide an engaging and informative experience for our users.

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