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Data Visualization

Data visualization is a core component of scientific research and communication. At CAC, our consultants collaborate with researchers to bring data to life — whether for exploration, analysis, or presentation.

Expertise & Tools

We support a wide range of tools and technologies, including:

• Tableau — for dashboards and interactive visualizations
• Python & R libraries — for custom-coded visualizations
• Web APIs — such as Google Charts, for accessing and viewing data
• Bokeh — for interactive plotting in web applications
• ParaView — for advance 3D scientific visualizations

Our team frequently integrates visualizations into web applications we develop and host, enabling interactive exploration of data that is either user-supplied or stored in database managed by CAC.

Training & Learning Opportunities

CAC offers training in both data visualization best practices and the practical use of tools through several platforms:

• Cornell Virtual Workshop (CVW) — free, online self-paced tutorials
• Scientific Computing Training Series — live and recorded webinars
• CAC YouTube Channel — variety of research computing training videos
• eCornell Certificate Programs — for in-depth structured learning
• Consulting sessions — tailored training for Cornell and external organizations through our Partner Program

Featured Training Topics

Topics covered in the CVW include:

• Using ParaView for 3D scientific data
• Interactive visualization with Bokeh
• Visualization tools in the Python ecosystem for data science.

See an example from our Python for Data Science CVW topic: a visualization exploring the relationship between various Major League Baseball hitting statistics over time.

Get in Touch

Contact us to learn more about our data visualization training and consulting or to discuss your specific project needs.