Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs and maps, data visualization tools can provide an accessible way to see and understand trends, outliers and patterns in data – whatever subject the data covers. This interesting information came to us from Daily Nous in their article, “New Visualization-Based Interface for the Stanford Encyclopedia of Philosophy.”

One data engineer and developer has created a visualization of the Stanford Encyclopedia of Philosophy (SEP) through which users can search for entries and see the connections between them. It generates attractive visualizations that are also well-designed, useful and approachable tool for navigating the SEP.

In the world of big data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.

It’s not simply as easy as just dressing up a graph to make it look better. Effective data visualization is a delicate balancing act between form and function. 

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.