Data visualization vs numbers in science

7 Minutes


Data Visualization for Healthcare

Numbers are essential in medicine. They provide short, concise, evidence-based ratings of therapies, diagnostic tests, and risk assessments commonly used in family medicine. However, Data visualization is better than numeric language because it gives a clearer picture of the results and needs less effort for analysis in compared to numbers.

In the era of information explosion, more and more data piles up in science. However, these dense data are unfocused and less readable, so one of the most common challenges we are faced with is making data and statistics as compelling as the science they represent. We need visualization tools to help information to be easily understood and accepted, as visualization is more intuitive and meaningful.

You already know that using visuals to communicate your content is fast, easy, and efficient because pictures are so much easier to interpret. However, you might be wondering how to communicate with your information even faster.

Here are some tips to let your data speak for itself:

             1 .Make it easy for your brain

The human brain can deal with about seven bits of information before it starts to drop things. Also, we are going to push our limit if we just stick to the text.

It is essential that we remove all the stuff we do not need. When we visualize the content, instead of being overloaded with all the information presented, your brain can quickly and easily understand what is going on.

We use the brain’s ability to process certain things (like position and length) and remove things that confuse our brains (like repetitive movements) to help us understand our data much more quickly.

different graphics of data visualization

            2. Beauty matters

Something pretty is eye-catching so that people are drawn to what you are saying. Make the focus “aesthetically pleasing to the eye” and you will keep your audience´s attention.

            3. Use bright colours to highlight

To attract attention to a certain part of your data use alarm colours, which draw the eye quickly to areas that need attention, and help get that message across. Bright colours that stick out immediately make you know exactly where to take action

example of data visualization

          4. Check your visuals with the 5-second rule

Research shows that the modern attention span for looking at things online is, on average, less than five seconds. So if you cannot grab attention within five seconds, you have likely lost your viewer.

Be sure your visuals include clear titles and instructions. Tell people succinctly what the visualization shows and how to interact with it.

And if you want to communicate effectively with your data, contact 3DforScience and we will offer you all our services of scientific interactive media and 3D medical animation which help healthcare companies to communicate through visuals.


Visual channels are important to express the collected data more simply and innovatively. The main objective in obtaining numerical results is that users stay with the message we want to convey and sometimes with a few simple figures is very complicated.

The visualization of the data allows us to capture the user’s attention, present it interestingly, and help the readers to understand the results obtained.

example of data visualization in medical industry


3DforScience is a scientific communication company specialized in digital content for the pharma and biotech industries. Our passionate creative team works alongside an in-house scientific team to provide cutting-edge medical animations, scientific illustrations, virtual reality, etc.

Our extensive experience within the field ensures all the content we produce is scientifically accurate, innovative, engaging, and pitched at the right level for the target audience.[Would you like to bring your scientific messaging to life? Contact us. We would love to help you create something unique

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