Domain specific/interesting end goal use cases

[ksunden]

While initial development work will focus more heavily on synthetic data/toy examples of some relatively low-level artists, it is a good idea to keep in mind a wide range of applications, as that is the actual end goal that makes this work actually useful.

In particular the following, in no particular order:

• Oceanography/Geospatial data
  • large datasets, subsampling data
  • transforms into map coordinates
  • integrations with cartopy, etc.
• Astronomy data
  • It is a NASA funded grant, after all
  • large datasets
  • stress test units
  • spatial-type data
  • integration with data sources used in that domain
• Biological data
  • Of particular interest to CZI grant
  • Microscopy data/images
• Spectroscopy data
  • It is my own area of expertise, I have several kinds of plots that serve a variety of levels of difficulty
  • Specialized domain-specific data format
  • Composing multiple artists
  • particularly hard units support (spectroscopists can never agree what units to use, and like to say that length and energy units are interoperable)
  • easy "quick" plots from a self describing data format
  • multidimensional data, slicing into, etc.
  • interactivity, stress testing the level of hooks provided to modify the plot
• Sports analytics data
  • relatively unique visualizations
  • see https://hockeyviz.com for many examples of a wide variety of plot types (made with matplotlib)
  • potential interest for live updating

These are just a few of the domains for which this dataset-centric approach may be useful, feel free to add more.