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Local Data

For Yanni Loukissas, understanding the meaning of data requires that we understand their local conditions of production, dissemination, and use. Although data visualization tends to overlook these local features of data by presenting data simply as-is, visualization could be designed help us to challenge the ways that we normally present and perceive data.

This series of visualization projects illustrates local features of data that tend to be concealed by more scientific data analyses. Interpreting data from sources as diverse as news speech-to-text transcriptions, tax assessments, and the Digital Public Library of America, the visualizations reveal conditions of production that are local to each dataset.