The brain science behind why some charts just "click" (and others don't)


Hey there,

You know that feeling when you look at a chart and something just... clicks?

Like suddenly the data makes sense in a way it never did before?

That's the power of a well-designed data visualization.

And the secret to creating that "aha!" moment lies in understanding how the human brain works.

Because here's the thing:

Our brains are fascinating, but they're also kind of quirky.

And if you don't know how to work with those quirks, your charts might not be having the impact you want.

Let's dive into some brain science that will help you create charts that really stick.

1. Color is a powerful pre-attentive attribute

Our brains detect color even before we consciously decide to pay attention to it.

So, use color strategically to highlight the insights you want to draw attention to.

For example, let's say you're comparing profit figures across categories.

Try coloring the top-performing category a different color from the least-performing one.

Instant "pop" for the data points that matter most.

2. Proximity = similarity

Our brains naturally assume that things close together are related.

It's called the Law of Proximity in Gestalt psychology.

You can use this to your advantage by grouping related data points together visually.

So if you're comparing metrics for different product lines, try clustering them by category.

Or if you're showing change over time, align the data points along a clear timeline.

This makes it easier for the viewer's brain to process the information and draw connections.

3. Less is more

Cognitive load is real.

Just like your computer slows down when you have too many programs open, your brain struggles to process too much information at once.

So when it comes to dataviz, simplicity is your friend.

Cut the clutter and include only the essential info needed to convey your message.

And embrace white space!

Giving your data room to breathe can actually increase comprehension.

Think "Data Zen Garden."

4. Story > stats

Yes, data is important.

But if you want your insights to be memorable, wrap them in a story.

Stories do more than entertain us.

They tap into our emotions and light up different parts of our brain, which helps us remember things more easily.

So don't just show the numbers.

Highlight the human impact behind the data.

Instead of just displaying that churn rate, share a real customer story that illustrates the larger trend.

Suddenly, your data has a heartbeat.

And it's a lot harder to forget.

Want to learn more?

Check out these amazing resources for even more neuroscience-backed dataviz tips:

The bottom line?

When you design your dataviz with the brain in mind, you create charts that don't just communicate, but captivate.

And that, my friend, is how you make an impact with your insights.

So go forth and make some brain-friendly charts.

Your audience's synapses will thank you.

Happy vizzing,

Donabel

"Creativity is intelligence having fun." - Albert Einstein


P.S. Want to see some of these principles in action (or just beautiful charts in general)?

Check out the "Information is Beautiful" website for stunning examples of data visualizations.

Warning: You may lose track of time geeking out over their gorgeous designs!

Hi! I'm sqlbelle!

Join 4.4K subscribers who receive weekly, bite-sized data lessons, and practical SQL and Tableau tutorials | Subscribe for additional resources, and start with free tutorials at youtube.com/sqlbelle

Read more from Hi! I'm sqlbelle!

Hey there, Remember when you landed that data analyst job you'd been dreaming of? The one with the fancy title, cool projects, and promise of working with cutting-edge tech? Fast forward to today. You're knee-deep in a complex analysis at 2 AM, fueled by your third cup of coffee, suddenly realizing this isn't normal. Or healthy. Welcome to burnout in the data world. It's real, it's ugly, and it's more common than inconsistent data across multiple platforms. But here's the thing: It doesn't...

Hello there, Ever feel like you're following all the "best practices" but still not getting the results you want? You're not alone. Here's the thing: when it comes to data work, "best practices" can be misleading, and sometimes even a trap. Let's dive into why, and more importantly, what you can do about it. The Problem with Best Practices 🚫 Best practices are like hand-me-down clothes. Sometimes they fit perfectly, but often they need some serious tailoring.In the data world, here's where...

Hey there, Picture this: you're in the hot seat, interviewing for your dream data analyst job. Your palms are sweaty, your heart is racing. The interviewer looks up from your resume and asks, "So, tell me about yourself." You freeze. Your mind goes blank. 😩 You start rambling about your love for spreadsheets and how you were not able to sleep last night. Big mistake. Here's the deal: If you don't tailor your "Tell me about yourself" response to the specific role and company, you're missing a...