How to Improve Data Visualization Design?
- Wisely choose the colors you pick for your application
Color is a delicate matter in web and mobile design. For information density, you might want to use colors that clearly distinguish data. However, this trick will not help users read the information any better. For accessibility of data, it would be better to avoid color palettes that may become compromised when seen by colorblind individuals. In addition, unique and bright colors make it much easier for people to see how they are using their time amongst their smartphone’s applications. So look over every aspect of your visualization design to make sure it will not get in the way of consuming your information. Besides, there is also the meaning of color to consider, too.
- Place information in a logical way
Each type of visualization works best for displaying a certain type of information. From this perspective, there could be more than one method to display it logically. Here are some tips:
- Bar graphs should be sorted alphabetically
- Line charts are better to be displayed in chronological order
- It is better to slot wedges of a pie chart based on their size
Do not just place each information point willy-nilly. Consider what is the optimal logical design.
- Only add what is necessary
Today, users can quickly get overwhelmed by the sheer volume of data, because website owners do not want to leave anything out. But some information is not worth sharing. The same fully applies to data visualization. There is no need to complicate your data design. Consider removing unnecessary borders, lines, drop-shadowing, and 3D from your visualization elements.
- Avoid being too creative with the content
Unlike an email subject or blog article title that should shock/tease viewers, data visualization should not be a puzzle. When it comes to the copy surrounding data visualization elements, there can be no such thing as oversimplification.
- Select the appropriate type of data visualization
Whether you are utilizing a ready-made template or creating a data visualization element from scratch, determine which type of visualization design you need before you get started. Highlighted map? Bubble chart? Venn diagram? Progress bar? Which is the best fit for your website/app?
For example, a large set of related data will be best displayed with a table. A bar graph is the best solution if you need to compare data, either among selected variables or along a timeline. If you have a dataset that tracks descent/growth, a line graph would be a perfect fit for you. Finally, a pie chart will work best if you need to give users a quick idea of how your product is distributed. As you can see, there is always bound to be a certain type of visualization that represents your data best.
Read also: DESIGNING POWERFUL NARRATIVES: BEST PRACTICES FOR BETTER UI/UX