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- W4386337568 abstract "Museums around the world are making certain datasets public. This research introduces four data analytics built as Javascript visualizations of public domain art from the Metropolitan Museum of Art, New York City. The visualizations focus on Albrecht Dürer as the author work is in the public domain. The Javascript visualizations are housed online as public access. The challenge to research and build visualizations without using traditional data science libraries are described in the paper. From the research, four resulting visualizations emerged as follows: 2-qualitative, 1-quantitative, and 1-mobile. The novel visualizations for data analytics were custom built during the research process as described in the paper along with lessons learned and future work." @default.
- W4386337568 created "2023-09-01" @default.
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- W4386337568 date "2023-01-01" @default.
- W4386337568 modified "2023-09-27" @default.
- W4386337568 title "Building an Artist’s Profile in Javascript: Integrating Data Analytics and the New York Metropolitan Museum of Art Open Dataset to Visualize Elements of an Artist’s Life" @default.
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- W4386337568 doi "https://doi.org/10.1007/978-3-031-37717-4_12" @default.
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