Path to better graph visualizations

Please join us for this presentation on better (Scale Invariance, Magnitude Invariance, and Conclusion Invariance) graph visuals to be presented by Jalil Farid.

Summary: Data analytics professionals are increasingly asked to provide not only clear and concise insights based on their research, but provide deployable web interfaces for those insights. As the arsenal of toolkits that provide deployable algorithms rapidly grows, methodologies to visualize their outputs in an interactive way and deliver them through the web continue to lag behind in the industry of analytics. Among the most difficult of visualization problems are insights related to graphs, which can be a useful tool for engineers to tell data-centric stories about relationships between agents. These visualizations also have problems as graph sizes scale into the millions of nodes. This presentation provides an overview of strategies useful for graph visualization engineering with the web in mind, specifically providing an overview of Energy Minimization Methods and more recently, Space Filling Curve methods that tackle the daunting task of visualizing large graphs. Knowledge of these techniques and tools can be useful to engineers that wish to build interactive graph visualizations that are consistent with the three main goals of web based visualization: Scale Invariance, Magnitude Invariance, and Conclusion Invariance. It is anticipated that listeners will receive an overview of the techniques of graph visualization, and take the strategies of Invariance to their own visualization and data storytelling projects.

Agenda:

6:30-7:00 - Networking, refreshments

7:00-7:10 - Message from our sponsors

7:10-8:00 - Presentation + Q&A

8:00-8:10 - Thanks and ideas for next month's meetup

Bio: Jalil is a Full-Stack Software Engineer with a knack for developing interactive web interfaces that are useful and resilient to scale. Jalil started his career at Dana-Farber with the Center for Cancer Computational Biology working as a developer for web applications that process and visualize genomic data. He has recently found himself working in healthcare with TwineHealth, with stops along the way in the finance industry. When he's not building web applications, he's either reading about physics, playing soccer, or sneaking in a chess game