Graph Visualization Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure ...

Data visualizations capture any measured task in the customer journey. It's meant to organize observations of a dimension or metric in a graph.

If you develop applications that share data with users, you’re likely to have requirements to present a graph, chart, dashboard, or other data visualization embedded in the application.

To honor that work, we chose 15 visualizations in these areas, selected from a field of 46 contenders. We hope these signal the direction of the new data age—that the revolution will be visualized.

Why you should use data visualization tools Let’s look at some use cases to embed data visualizations when rapid development and experimentation are required.

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

Graphs are most commonly displayed as edge visualizations in which the connections between nodes are the focal point of the image. This tends to be the norm in domains where it is the connectivity ...

When I log on first thing in the morning, I search for the latest COVID-19 case numbers. The best way to absorb that data is a quick glance at a chart or graph.

Visualizations can help you understand data better – but they can also confuse or mislead. Here, some tips on what to watch out for.