To ensure our dataset comprehensively includes repositories from Wisconsin, we'll enrich it by incorporating user location data. We will employ GraphQL to effectively filter users based on their location—specifically those in Wisconsin or Madison—and then access all of their public repositories. This strategy enables us to directly link from user profiles, selected by their location, to their public repositories, guaranteeing our dataset's completeness regarding Wisconsin-based repositories.
To ensure our dataset comprehensively includes repositories from Wisconsin, we'll enrich it by incorporating user location data. We will employ GraphQL to effectively filter users based on their location—specifically those in Wisconsin or Madison—and then access all of their public repositories. This strategy enables us to directly link from user profiles, selected by their location, to their public repositories, guaranteeing our dataset's completeness regarding Wisconsin-based repositories.