Philipp Rudiger- Scalable cross filtering dashboards| PyData Global 2020

Talk
Introducing automatic linked selection and cross filtering tools for HoloViews, GeoViews, and hvPlot supporting the concise and convenient .plot() interface in Pandas or Xarray along with custom widgets from Panel, allowing data scientists to create even complex dashboards relating values across each of the dimensions without having to program with callbacks or other advanced mechanisms.

Speakers
Philipp Rudiger is a Software Engineer at Anaconda, Inc. developing open-source and client-specific solutions for data management, visualization and analysis. He is the author of the open source dashboarding and visualization libraries Panel, hvPlot and GeoViews and one of the core developers and maintainers of Bokeh, Datashader, and HoloViews. He has a strong background in the Python data science stack with experience in visualization, ML and numerical analysis. Before making the switch to software development he completed his PhD and Masters in Computational Neuroscience at the University of Edinburgh working on biologically inspired, deep and recurrent neural network models of the mammalian visual system.


PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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[atul]

Instead of dragging and selecting over an area, can we click and select one bubble/bar to see the same effect?