As explained in this Edraw article, every data visual has one of the five key objectives—distribution, composition, relationship, trend and comparison. • Distribution: The visuals show how ...

Stone, who also worked with the Stanford Visualization Group (which is now at the University of Washington), will help Tableau determine best practices for using color within data visualization.

Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

But examining the academic literature on data visualization can have real implications for the practical, working journalist. Here are 6 lessons that we can learn from academia: 1.

Unlocking the full value of enterprise data starts with effective data visualization and seamless collaboration. Discover how the right tools empower teams to turn raw information into actionable ...

Data visualizations show how air pollution has changed in cities around the world since 1850. See how how air pollution has changed over 170 years. Skip to main content ...

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.

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