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- W2120504965 abstract "Modern research projects incorporate from several sources, and new insights are increasingly driven by the ability to interpret in the context of other data. Glue is an interactive environment built on top of the standard Python science stack to visualize relationships within and between datasets. With Glue, users can load and visualize multiple related datasets simultaneously. Users specify the logical connections that exist between data, and Glue transparently uses this information as needed to enable visualization across files. This functionality makes it trivial, for example, to interactively overplot catalogs on top of images. The central philosophy behind Glue is that the structure of research is highly customized and problem-specific. Glue aims to accommodate this and simplify the data munging process, so that researchers can more naturally explore what their have to say. The result is a cleaner scientific workflow, faster interaction with data, and an easier avenue to insight." @default.
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- W2120504965 date "2013-01-01" @default.
- W2120504965 modified "2023-09-26" @default.
- W2120504965 title "Multidimensional Data Exploration with Glue" @default.
- W2120504965 cites W2319794630 @default.
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- W2120504965 doi "https://doi.org/10.25080/majora-8b375195-002" @default.
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