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), and conda-store (part of the conda ecosystem).
Pavithra has been involved in the open source community for over 5 years, notable as an emeritus contributor to the Dask library and Wikimedia Foundation projects. In her spare time, she enjoys a good book and hot coffee. :)
Session
According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1 in 5 individuals) have vision impairment. Improving the accessibility of visualizations will enable more people to participate in and engage with our data analyses.
In this talk, we’ll discuss some principles and best practices for creating more accessible data visualizations. It will include tips for individuals who create visualizations, as well as guidelines for the developers of visualization software to help ensure your tools can help downstream designers and developers create more accessible visualizations.