Data. Data. Data. Everywhere data. The mind numbs at the thought. Daily I am talking with customers discussing their data challenges, where their data resides, and the notion that bringing data together into some meaningful sense is akin to herding cats.
Using Data Visualization to Boost Your Brain Power
The brain processes data through its perceptive abilities (i.e. the right side, the visual) extremely fast and efficient vs. the way it processes data using its cognitive abilities (i.e. the left side, the thinking). Data visualization is powerful because it shifts the balance between perception and cognition to take better advantage of the brain’s ability to process information. We are able to process visual information much more rapidly than textual information. Optimizing the brain to its fullest is truly a science, but it can be mastered with data visualization.
Visualizing data becomes a necessity when you want quick insight and understanding of large data masses. It also is the best means to easily digest the data, which I’m sure your brain appreciates just as much as mine. Our brains are able to optimize its workload when presented with graphical data vs. the raw data itself.
How Visualization Works With Your Brain
A number of items to consider that can help to optimize brain power through data visualization:
- Match the Data to a Visual. When you create visual representations of your data, make sure that it’s relevant to the data you are presenting. Using different charts, images, and colors, you can help make your data more memorable.
- Be Accurate. Even though you’re using pictures and colors, they need to be accurate in depicting the data. The pie chart or infographic needs to show the right data values and information. Just randomly assigning pictures and colors doesn’t help in representing data. So make thoughtful decisions when it comes to your graphics and imagery.
- Make it Stand Out. Use colors that highlight the data to help with comparing and contrasting values. However, don’t use colors that can strain the eyes, such as white and yellow or black with blue. Using a grayscale with primary colors are great for data display. The brain will respond well to the color coded data and have an easier time analyzing it.
- Know How the Brain Works. The Interactive Design Foundation outlines how the brain behaves and responds to data visualization. Guided by the Gestalt Principles and any of the six principles (proximity, similarity, enclosure, closure, continuity, or connection), data visualization can become a more effective method for the brain to digest by shifting from a thinking perspective to a seeing perspective. Applying these principles to data visualization will allow the brain to quickly and more easily process data.
- Design a Dashboard. Use dashboards to help depict data. Rows of numbers can be overwhelming. Having an interactive dashboard to display multiple metrics, both dynamically and visually, goes a long way in making data easier to read.
- Keep it simple. Good data visualization takes a complex set of data and makes it easier to understand. It does this through simplifying the perspective and providing ‘big pictures’. When visualizing be careful not to include too many visual stimuli. Remember we’re trying to make it easier to understand and process data.
Read next: Neuroaesthetics & Informative Art
Transforming Your Data
Let’s look at a few examples of how we can use data visualization to get a quicker and better understanding of our data.
Take the data below. It is showing a set of results for Revenue broken down by State.
State | Revenue | State | Revenue | State | Revenue | State | Revenue | State | Revenue |
AL | 10604.23 | HI | 14066.78 | MA | 9704.79 | NM | 34454.24 | SD | 36474.59 |
AK | 10284.74 | IA | 10835.9 | MI | 16841.52 | NY | 41520.7 | TN | 44573.62 |
AR | 11427.29 | ID | 16220.72 | MN | 5631.91 | NC | 33660.93 | TX | 32515.69 |
AZ | 14526.93 | IL | 7460.44 | MS | 10148.19 | ND | 36279.79 | UT | 41664.09 |
CA | 14368.02 | IN | 6228.67 | MO | 10369.17 | OH | 29675.86 | VT | 34875.9 |
CO | 10081.99 | KS | 13043.49 | MT | 14462.75 | OK | 36366.27 | VA | 34573.24 |
CT | 41461.55 | KY | 11491.49 | NE | 14584.65 | OR | 35540.94 | WA | 31216.06 |
DE | 17709.72 | LA | 13448.77 | NV | 36492.35 | PA | 42365.42 | WI | 37388.47 |
FL | 13830.31 | ME | 10710.68 | NH | 41769 | RI | 34325.1 | WY | 38545.32 |
GA | 11278.7 | MD | 10553.76 | NJ | 39210.82 | SC | 36371.77 | WV | 37223.59 |
My brain hurts a little bit just looking at it. Especially, considering what I really want to know from this dataset – which states fall below the revenue goal. Suddenly, I have to really think about how I can pinpoint those states. What about the states that are exceeding expectations? What are those expectations? Which state has the most revenue? Which state has the least? So many questions that I have to think about and process data to get to my answer.
Figure 1 shows the visual results of the same data. With a quick look, I can see that Minnesota, Illinois, Indiana, and Massachusetts all fall below the revenue goal. And, I can easily see the rest of states exceed them.

Figure 1
But, what about the highest revenue producing state? Am I able to determine that from my map? Suddenly, my brain kicks into gear and I start filtering the list above, only looking at the states that are in green, but I can’t identify exactly which state has the highest revenue.
However, I can change the way the data is displayed and ranked to see the highest revenue producing states down to the lowest. Using Figure 2, I could quickly determine that Tennessee is my highest revenue producing state year to date. Changing the visual representation of the data answers my question, but I’ve lost perspective on which states are exceeding or missing revenue expectations.

Figure 2
By adding color to my new chart, I can satisfy both requirements and quickly understand the data set. My brain doesn’t need to work so hard thanks to color-coded data visualization below. (Figure 3).

Figure 3
At this point, I might also consider adding the absolute revenue amount on my chart. However, when I do this, suddenly my chart becomes less usable because there is just too much information to try and digest. (Figure 4)

Figure 4
Just adding more elements for the sake of full disclosure, doesn’t guarantee an improved visual. Simplicity is the best approach.
Simplicity is the best approach. #dataviz Click To TweetSo, whether you utilize the Gestalt Principles to affect your behavior with data visualization, or simply go with the ‘a picture is worth a thousand words’ saying, the end goal is the same – utilize data visualization to boost your brain power. It stimulates both the creative and logical side of the brain. Your brain will appreciate that you are feeding it information that it can immediately process and digest through the visual lens, rather than having to work hard for the same result. Who knew data could be so good for the brain?
Want to learn more about how you can take your data visualization from good to great? Check out our top 5 tips here.
- 1.Optimize your Brain Power with Data Visualization
- 2.Unpacking the Laws of Visual Perception
- 3.Data Persuasion: How to Make Your Case with Data Visualization
- 4.Neuroaesthetics and Informative Art
- 5.Data Driven Decisions, Learning, and Cognition
Great information with simple explanation. Thank you!
Making the data stand out that’s my goal. Thank you for the informative post.
Great Information – thanks!
I think iDashbaords is able to “wake up” even the innermost brain we have, the one where the “immediate” decisions are taken (eat, sleep, make babies, istintive reactions, face recognitions, dangers signals, …. ), so the user could use all his/her “brains”: the logical one for looking to (and “reading”) numbers and text, but either the “istintive” one just seeing and watching colors, needle angles, trends in charts; moreover iDashaboards could avoid the “too many numbers” effects, which usually happens looking to Excel tables.
The user could take better and quicker decisions when he/she lets all his/her brains working together, having filtered and summarized data too… 🙂
Brilliant Blog 🙂
Always a great reminder to keep it simple, awesome blog Jerry!
Great Blog Jerry. We talk about Left vs Right brained thinkers on Demo’s and at Tradeshows.
So true. Keep it simple
Pure Brilliance!
Love it. Less is more!
Great information! I’d be mindful that everyone sees data in a different way so giving the users business user permissions is important here.
Great article Jerry!
Simplicity is the best approach.
Excellent post!
I especially like the inclusion of the Gestalt principle, otherwise known as the law of simplicity.
When dealing with hundreds and thousands of individual data points, it’s easy to become overwhelmed. By using the law of simplicity in conjunction with tools that make it easier to derive knowledge we can actually use the data instead of just collecting it.
Great article Jerry!
This was great!