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- W2898862499 abstract "This chapter explores a code/art method to data visualization using a case study of the project Aperveillance: Watching with Open Data. The generative nature of coding affords a method for creating artistic visualizations that go beyond more traditional charts and graphs. What are the possibilities for leveraging the iterative nature of code in order to create visualizations that focus more on exploration than analysis and offer the chance to raise new questions? Whereas a more traditional approach to data visualization would seek to answer questions or create clearer explanations through the process of visualization, code/art visualizations instead aim to provoke further questions, such as those about the societal tensions between surveillance and privacy in the case study. In addition to explicating the underlying Digital Humanities methods associated with such a practice, this chapter offers a step-by-step guide showing how the Aperveillance project was created using the p5.js programming language." @default.
- W2898862499 created "2018-11-09" @default.
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- W2898862499 date "2018-01-01" @default.
- W2898862499 modified "2023-09-27" @default.
- W2898862499 title "Code/Art Approaches to Data Visualization" @default.
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- W2898862499 doi "https://doi.org/10.1007/978-3-319-96713-4_12" @default.
- W2898862499 hasPublicationYear "2018" @default.
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