5 Tips To Make Impactful Data Visualization

Quick tips to improve your data visualization!

5 Tips To Make Impactful Data Visualization

How can I improve the value, engagement, and insightfulness of my data visualization? These questions should be at the top of the list for anyone creating a visualization, regardless of their experience. You want to make it memorable and impactful. Visualizations tell a compelling story when done well. Additionally, they can shed light on information and features that a spreadsheet, bar chart, or pie graph might not reveal.

Consider what you want the visualization to achieve before diving into the details, as this will assist you choose which data to include.

Consider the following:

  • Who is my target audience?
  • Whose questions are they asking?
  • What solutions am I discovering for them?
  • What exactly am I saying?
  • What other queries might my visualization elicit, and what discussions might they produce?

When you're ready to start creating, these tricks and tips will make your visualization clear and engaging so that users will understand the intended messages effectively and leave with clear and practical takeaways.

1. Select the Appropriate Graphs and Charts Types

Carefully consider and identify the most appropriate format for your visualization that will best communicate the narrative and address the major issues raised by the data, all while tying in with your main objective. Sometimes it might even be beneficial to combine related graphics; this can encourage further investigation that yields useful business insights and solutions that motivate action.

2. Design Layouts with Predictable Patterns

Humans are naturally visual beings. We are drawn to indications that provide us with critical information quickly. We instinctively look for patterns, thus it can be quite challenging to understand what the visualization is trying to say if the patterns are random or make no sense.

Make sure the sequence or structure in which you show data, whether it be numerical, alphabetical, or sequential, makes sense to viewers in order to capitalise on these human tendencies. An easy example would be to position your visualization to follow the convention of speaking in a format that reads from left to right. Make sure the links between the data are obvious if you're using numerous graphs and that the order of the data is consistent. You don't want your audience to become overwhelmed when they move from one place to another.

3. Utilise Obvious Formatting & Colours

Colour is crucial. Without using words, it can say a lot. However, utilising colour requires a delicate balance; it's better to keep things straightforward. To emphasise and highlight the content, use colour. While using a specific colour or too many shades of the same colour can make the data blend together, employing too many colours can generate chaos.

Associating colours is important as well. To help the viewer comprehend the information more quickly, use colours that are intuitive and make sense. Use red to represent heat and blue to represent cold when working with temperatures. It also matters a lot how you use colour. Bringing out differences in the data or demonstrating consistency across values is useful.

4. Carefully and Purposefully Apply Text

Your text selection, including the type and quantity you employ, can help you visualize better. Even while too much or poorly organised text can be distracting, there are situations when relying solely on images is insufficient. When utilising text, be sure it draws attention to crucial information. Despite the fact that our brains are programmed to comprehend patterns and visuals rather than words, using text effectively can have a significant impact.

5. Combine Shapes and Sizes for Visual Clues

Instead of sitting and carefully examining information, context enables us to quickly understand it. Subject matter visuals can convey a powerful narrative. Using representative shapes makes a visual much more engaging and intuitive over using bar charts with values. Excessive numbers and text can make your data visualization appear confusing or overwhelming.

Size can give context indicators and emphasise poignant information. Size, though, can also signify scaled values. Shape size can be adjusted depending on data values rather than colour.

Here are a Few More Pointers to Help You Improve Your Visualizations:

  • Reduce the number of perspectives you include in your visualization. The broad picture gets buried in the details if there are too many added.
  • An excellent analysis can be distinguished from a dreadfully confused visualization by the use of interactivity. You must direct the narrative and promote exploration. Be sure to include interactive elements that viewers can interact with by providing them with subtly worded directions, for example.
  • Try grouping your filters if you have more than one. Keeping them together serves as a subliminal visual indicator of their similarity.
  • The top or upper-left corner should include the most crucial perspective. Usually, that area attracts your attention first.