The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques.

Transforming your impact data into sharp, strategic charts is easier than you might think. These simple visualization ...

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

Network graphs can show how your customers are segmented and the risk of churn for each segment. You can discover that what you thought were three or four main segments are actually 10.

From person-to-person coaching and intensive hands-on seminars to interactive online courses and media reporting, Poynter helps journalists sharpen skills and elevate storytelling throughout their ...

The two graphs below show the exact same data, but use different scales for the y-axis: On the left, we’ve constrained the y-axis to range from 3.140% to 3.154%. Doing so makes it look like ...

In my visualization post, What Makes a Good Data Visualization I mentioned two aspects of data to consider. You want a graph that conveys ideas from the data that are too complex to explain ...

Data visualization takes your data (numbers) and places it in a visual context, such as a chart, graph, or map. It also helps create data stories that communicate insights with clarity.

In our digital sage, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating ...