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.

Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond Written by George Anadiotis, Contributor Feb. 16, 2021 at 7:11 a.m. PT Science and ...

The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science ...

Science News. from research organizations. ... How people misinterpret data in bar graphs. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 02 / 220203102536.htm.

Investing in your data science team’s graph skill development will also help. Consider how to build the skills you need in-house and offer professional development.

And because bar graphs are everywhere, psychologists from Wellesley College wanted to determine how well people can actually read and interpret bar graphs. You know where this is headed. Turns out one ...

Data storytelling represents an exciting, new field of expertise where art and science truly converge. My hope is more data storytellers—from across an organization—will emerge to ensure the ...

A log scale graph, where one or both axes increase exponentially (1, 10, 100, instead of 1, 2, 3), data is compressed to make exponential trends easier to parse. However, log curves can distort ...

Until the nineteenth century, Friendly and Wainer tell us, most modern forms of data graphics—pie charts, line graphs, and bar charts—tended to have a one-dimensional view of their data ...

Illustrated graphs challenge our understanding of the relationship between science and art. Many of the pieces in Jill Pelto’s online gallery have companion artist’s statements that explain how Pelto ...