As business people and marketers, we traffic in data. It’s what we use to make decisions (even gut decisions). Data is also how we communicate the status of things and how we make the case for change.

When it comes to visualizing data, there is no shortage of charts and graphs to choose from. From traditional graphs to innovative hand-coded visualizations, there is a continuum of visualizations ...

There are dozens of chart types for visualizing data, yet analysts come back to bar charts, time and time again. Simply put, bar charts are really good at what they do: they’re quick to create, show ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

I propose the following law: “The longer an innovative visualization exists, the probability someone says it should have been a line/bar chart approaches 1” I’ve seen the “shoulda been a line chart” ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

Instead of telling people about a story/data/information, show them. Humans are inherently programmed to respond to the visual and our brains process images 60,000 times faster than text. Images seen ...

Planning and executing an excellent SEO strategy is critical for any digital marketing campaign. However, the effort requires data to tell the story in a way that resonates with our clients. But ...

See how easy it is to create interactive web graphs from ggplot2 visualizations with the ggiraph R package. You can even link graphs so that clicking one dataviz affects the display of another. Static ...