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How can you make your data pop?

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Data is everywhere, but how can you make it stand out and communicate your message effectively? Whether you are presenting to clients, colleagues, or investors, you need to know how to make your data pop. In this article, you will learn some tips and tricks to enhance your data visualization and presentation skills.

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Kat Norton

Microsoft MVP | Founder of Miss Excel | Follow for Excel Tips!
Andy Churchill, PhD

Great research presentations are rare: together, we can change that ??
Kimberly M. Herrington

Senior Analyst | Data Journalist | Network Weaver | Creator of #BuffaloBusinessIntelligence | DS4A Fellowship Mentor

1 Choose the right chart

Not all charts are created equal. Depending on your data type, purpose, and audience, you need to choose the right chart that showcases your data clearly and accurately. For example, if you want to compare proportions, a pie chart or a donut chart might be a good option. If you want to show trends over time, a line chart or a bar chart might be more suitable. If you want to explore relationships, a scatter plot or a bubble chart might be helpful. Always consider what you want to convey and what your audience needs to see.

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Kat Norton

Microsoft MVP | Founder of Miss Excel | Follow for Excel Tips!
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Using the right chart is absolutely key! If you are using Microsoft Excel to build a chart, I always suggest checking out the Recommended Charts button on the Insert Ribbon for a great place to start!

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2 Use colors wisely

Colors can make or break your data visualization. They can highlight key points, create contrast, evoke emotions, and create harmony. However, they can also confuse, distract, or mislead your audience if used poorly. To use colors wisely, follow these guidelines: use a consistent color scheme that matches your brand or theme, use contrasting colors to draw attention to important data or differences, use complementary colors to create balance and harmony, avoid using too many colors or colors that are hard to distinguish, and use colorblind-friendly palettes if possible.

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Kimberly M. Herrington

Senior Analyst | Data Journalist | Network Weaver | Creator of #BuffaloBusinessIntelligence | DS4A Fellowship Mentor
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If you are just getting started, try limiting your design to 3 colors- but here's the catch, you can use various tints/tones/shades of those 3 colors (sparingly). That means I can choose black, but also use grey as well and still count it as "one" color. #D4D4D4 is one of my favorites :-) The other thing to consider is visual "weight" of text. If you have a white background, the text with the darkest pigment is most likely to draw the eye (all font sizes being the same)- so use font colors wisely to draw and defer attention to various parts of a visualization. Hex code / Color #D4D4D4 is a great "visual speed bump" if you need to partition sections on white background Use these tips and tricks wisely to avoid spreading visual-lies. :-)

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3 Add context and clarity

Your data visualization should not only be visually appealing, but also informative and understandable. To add context and clarity to your data, you need to include elements such as titles, labels, legends, annotations, and captions. These elements help your audience to know what your data is about, what it means, and why it matters. They also help you to tell a story with your data and guide your audience through your main points. However, be careful not to clutter your data visualization with too much text or unnecessary details. Keep it simple and concise.

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4 Use animations and interactivity

Another way to make your data pop is to use animations and interactivity. These features can help you to engage your audience, show changes over time, reveal hidden insights, and create a dynamic and memorable experience. For example, you can use animations to show how your data changes over time, such as a moving line chart or a growing bubble chart. You can also use interactivity to allow your audience to explore your data in different ways, such as filtering, zooming, or hovering. However, make sure that your animations and interactivity are relevant, smooth, and easy to use.

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Andy Churchill, PhD

Great research presentations are rare: together, we can change that ??
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If you use PowerPoint and don't use morphing try it out. What you do is add background colour boxes over the parts of the graph you don't want people to focus on at a transparency of about 15%. This will leave highlighted the parts you want people to focus on. You then copy the slide and move the shaded parts around to reveal the next part you want people to focus. You then select "transition" and then "morph" and then when you move between slides, the PP will organically shift the audiences attention. Give it a try and if you get stuck don't be afraid to reach out. Happy to do a quick tutorial as it is super easy.

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5 Practice and refine

Finally, the best way to make your data pop is to practice and refine your data visualization and presentation skills. You can do this by testing your data visualization on different devices, platforms, and audiences, and getting feedback on how it looks, works, and communicates. You can also review your data visualization and presentation objectives, and check if you have achieved them. You can also look for inspiration and examples from other data visualization experts and learn from their best practices and techniques.

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Andy Churchill, PhD

Great research presentations are rare: together, we can change that ??
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I'd add to @adam Reece's comment here, the key to putting the visual in front of a test audience is to NOT explain it to them, but instead have them explain it to you. The test is what they see without you prompting them. That's all you'll need to know about whether or not it's working.

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Adam Reece

Customer-focused Data Manager
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One often overlooked test is to put the visualization in front of someone who is not already familiar with the business or data. Too often we forget that not everyone is familiar with the data we have been absorbed in. This can even apply to colleagues or executives that have not taken time to familiarize themselves with the data before the presentation. Showing it to an unfamiliar audience first can help test if the interpretation of the visualization is as obvious as we thought.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you make your data pop?

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2

3

4

5

6

1 Choose the right chart

2 Use colors wisely

3 Add context and clarity

4 Use animations and interactivity

5 Practice and refine

6 Here’s what else to consider

Presentation Skills

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How can you make your data pop?

1

2

3

4

5

6

1 Choose the right chart

2 Use colors wisely

3 Add context and clarity

4 Use animations and interactivity

5 Practice and refine

6 Here’s what else to consider

Presentation Skills

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感谢您的反馈

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