The 12 Basic Principles of Data Visualization

The 12 Basic Principles of Data Visualization

Data visualization is an important part of designing presentations or charts. It displaces the core informational insights, which surely plays its role for those who are trying to make some good decisions. In this article we share The 12 Basic Principles of Data Visualization.

By applying it in the right way a company can achieve significant enhancement. Be as it may be, it requires a specific approach, which can be carried off by putting to use applications of some concepts.

The list of twelve key principles of effective data visualization follows.

1. Think Beyond PowerPoint Templates

PowerPoint is the most common place to search for a presentation template. Yet it would be reasonable to consider other tool options. PowerPoint is far too overused; you will hardly find any innovative up-to-date ideas. For example, if your site is WP-based, you can use a WordPress tables plugin to create dynamic tables and charts

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2. Balance the Design

Balance is an essential part of every single thing, and it works in a similar manner for graphic design. For this reason, it is important to allocate all objects evenly. It does not necessarily mean symmetry. The design can be asymmetrical but still balanced.

3. Keep Your Audience in Mind

What is the main goal of visualizing data? To reach the audience, of course. The knowledge of who they are and what they like might turn out to be a game changer for your company.

4. Focus on Key Areas

The design should lead the eye of a viewer to a space where the main message is situated. Therefore, make sure that the key elements are emphasized. This can be achieved by utilization of sensory details (i.e., colour, size, font, etc.)

5. Pay Careful Attention to Titles

Your visualization elements will be entitled and, consequently, will be read. The fundamental need of it being connected to the chart is impossible to refute. So, pay attention while creating them, they must mirror the insights of the presentation.

6. Tell the Truth

Yes, it sounds like an evident thing, yet the false narration constantly takes place. When presenting data, designers often overdo it a little in the hopes of convincing the audience. However, this is not correct.

Readers don’t need to be convinced of anything; they just need to be informed. If the provided records turn out to be relevant for them, they become interested and move on to action.

7. Provide Context

As was aforesaid, the visual should motivate the reader to action. This effect must be encoded in your context. It might be hard to accomplish, but not impossible. Apply for help with the influence of various visual cues in order to convey the primary insights.

8. Keep it Simple

Simplicity is the key. We are not talking about keeping the design super minimalistic but about its accessibility. It needs to be easily gotten at, without any confusion.

9. Choose the Correct Colours

Another principle of data visualization is choosing the right colour. This might be a little tricky. It is true colour is able to make certain accents, or otherwise – unobtrusive background.

But there are a few moments to be taken into account, for example, correct colour combs.

10. Compare Aspects

Comparison of data can inspire more confidence in the reader. Plus, it makes information easier to perceive.

11. Use Clear Axis Labels and Numbers

It is advised to avoid quaint items in design, since they might greatly affect its accessibility. When you create a chart or a graph, keep it as consistent and simple as possible.

12. Select the Chart Carefully

Usage of charts might be a great decision. Nevertheless, before working with charts, you need to familiarize yourself with their features and types.


In today’s business orientated world, one probably might not do without data visualization. You can observe it in commercials, business meetings, academic materials, and much more. Sure, with the knowledge of aforementioned principles, it will be useful to you.

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