The common perception among web designers is that the data charts that they upload on the website have to be packed with information. That is only partially correct! Yes, it is true that your data charts mean nothing to the online user unless you have relevant and valuable data in them. What is truer is that unless you present your data charts in an appealing, attractive way, your online visitors will be quickly repelled at their sight! Internet users have little time to deliberate over figures, unless you can provide them with the data numerical in a visually attractive format.
Important points to note regarding data visualization
Choice of Color & Design
To ensure that your website is offering data charts in a manner that users like to read them, begin by picking the right colors and design. The color palette of the charts has to be dictated by the information that you want to pack into them. If you are talking about serious figures like malnutrition data or lives lost in a natural calamity, you cannot pick bright, vigorous colors. Soft, soothing colors will be a better option in these cases. On the other hand, for purely commercial purposes and to grab the attention of the users, make use of bright, shiny shades in your data charts.
Choice of Words
Words lend a touch of panache to data charts. Pick your words carefully and with a lot of insight. If the design fails to draw attention (it might be so because users have varied tastes in colors and designs), the words will do the trick. You have to think of appropriate, relevant words that put across the right message without seeming too clever. Try not to pick words that are for the learned elite.
A far wiser idea would be to pick up words that appeal to the general users and can grab eyeballs. To make data more appealing to online users, you have to simply and decode information for the convenience of the users. Unless you can do that, users will bounce away from your data chart without actually registering anything in their mind.
The idea of data charts is to communicate the message that you want to put across. If the words and the design are able to do that, you job is done!
Best Tips to make your data more appealing
To make your data more appealing, consider implementing the following tips:
- Use compelling and relevant data: Ensure that the data you present is interesting and relevant to your audience. Choose data points that support your story and capture attention.
- Tell a clear and concise story: Construct a narrative around your data to make it more engaging. Define the key message or insights you want to convey and structure your data visualization around that story.
- Simplify the design: Avoid overcomplicating your data visualization design. Keep it clean, uncluttered, and easy to understand. Use clear labels, intuitive icons, and minimalistic elements to guide the viewer’s eye.
- Choose appropriate colors: Select colors that complement your data and enhance its visual impact. Use color strategically to highlight important information and create visual hierarchy within your visualization. Be consistent with your color choices to maintain a cohesive look.
- Use effective visual elements: Incorporate visually engaging elements such as charts, graphs, infographics, or images to make your data more visually appealing. Experiment with different visual formats to find the best way to represent your data.
- Use whitespace effectively: Leave enough whitespace around your data visualization to give it room to breathe. This can help improve readability and focus the viewer’s attention on the most important elements.
- Ensure accuracy and clarity: Double-check your data to ensure accuracy and eliminate any potential errors. Label your axes and data points clearly to avoid confusion and misinterpretation.
- Make it interactive: Consider adding interactive features to your data visualization, such as tooltips or filters, which allow users to explore and interact with the data themselves. This can make the experience more engaging and personalized.
Remember, the goal is to present your data in a visually appealing and informative manner that captures the attention of your audience. Experiment with different techniques and keep refining your approach based on feedback and user engagement.