There are a few strategies you can leverage for gaining acceptance in the design of your data visualization: Articulate the benefits of the new or different approach. Sometimes simply giving people transparency into why things will look different going forward can help them feel more comfortable. Are there new or improved observations you can make

While tables interact with our verbal system, graphs interact with our visual system, which is faster at processing information.

What do you need your audience to know or do?

The Big Idea boils the so-what down even further: to a single sentence.

The human eye isn’t good at ascribing quantitative value to two-dimensional space. Said more simply: pie charts are hard for people to read.

Getting feedback from someone not as familiar with the topic can be especially useful in this situation.

It means that, if we use preattentive attributes strategically, they can help us enable our audience to see what we want them to see before they even know they’re seeing it!

Scatterplots can be useful for showing the relationship between two things, because they allow you to encode data simultaneously on a horizontal x-axis and vertical y-axis to see whether and what relationship exists. They tend to be more frequently used in scientific fields (and perhaps, because of this, are sometimes viewed as complicated to under

We tend to think of objects that are physically connected as part of a group. The connective property typically has a stronger associative value than similar color, size, or shape.