Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Artwork by Maddie R. Original Graph: Real scientific data (in the form of a graph) that is the inspiration for the project. Integrated into the illustrated graph. Does not have to be climate ...

Different graph types are best used to showcase different datasets and relationships. The Scientist Staff Line and bar graphs are the two most used types of graphs by scientists. 6 However, they are ...

Two graphs walk into a bar: Readout-based measurement reveals the Bar-Tip Limit error, a common, categorical misinterpretation of mean bar graphs. Journal of Vision, 2021; 21 (12): 17 DOI: 10.1167 ...

Neo4j is among the graph database vendors who have been around the longest, and it now is the best-funded one, too. But that does not mean it's the only one worth keeping an eye on. Amazon entered ...

Excel offers a wide variety of charts and graphs, each designed to help you uniquely visualize data. But choosing the right chart isnt always straightforward. Let's break down the essential Excel ...

The COVID GRAPH and Open Research Knowledge Graph (ORKG) teams have focused on COVID-19, and emphasized annotation and structure, respectively. Connected Papers seems to expand coverage, and ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

R Core Team. R Foundation for Statistical Computing, 2023 Data set 2, despite having the same summary statistics as data set 1, tells a completely different story when plotted point by point.