Pavithra Eswaramoorthy
Pavithra Eswaramoorthy is a Developer Advocate at Quansight, where she works to improve the developer experience and community engagement for several open source projects in the PyData community.
Currently, she maintains the Bokeh visualization library, and contributes to the Nebari (adjacent to the Jupyter community), conda-store (part of the conda ecosystem), and Ragna (RAG orchestration framework) projects.
Pavithra has been involved in the open source community for over 5 years, notable as a maintainer of the Dask library and an administrator for Wikimedia’s OSS programs.
In her spare time, she enjoys a good book and hot coffee. :)
Session
Visualizing our data helps us better explore and understand it, and communicate findings and insights. However, not all data visualizations are accessible to everyone, particularly individuals with disabilities, such as visual impairments or cognitive challenges.
In this talk, we’ll discuss some principles and best practices for creating more accessible data visualizations. It will include tips for data scientists and analysts who create visualizations, as well as guidelines for the developers of visualization software to provide accessibility affordances in their libraries.