In the world we live today, data is very important. And big data is one of the latest trends. But with the increase in data popularity, the number of people that truly understand data and how-to analysis it correctly is decreasing. One thing that can solve this problem is data visualization.
Data visualization is not just about displaying the data with charts; its real value lies in presenting the data in a way user can easily understand and get insights. So how can you visualize your data in the best way possible?
Data visualization is used to communicate information to a certain audience, whether it’s a case for change, point of view, or simply new information. A narrative is a compelling form of communication, only a few can thump, and that is why storytelling is very important when it comes to data visualization.
Data most often represent objects, places, and people. Despite this, data in its raw form remains meaningless to most people. A good data visualization uses idea and language that the audience understand to tell a story.
Visualize missing data
Missing data is a powerful story by itself, so don’t skip time intervals and ignore the nulls because you don’t have data to visualize. Instead, ask yourself why the data is missing. Data may be missing for several reasons, some of which include data entry errors, poor data collections, or limited accessibility to a certain population. But instead of ignoring the missing data, find a way to visualize it.
Use color intentionally
Color is an important part of good data visualization; it is not just there to make it look good. Color is a very powerful tool that you can use to communicate a message. For instance, a heatmap with colors that vary in intensity to show comparative performance is an excellent way to help the audience more quickly uncover patterns and process the imagery.
The less, the better
Removing unnecessary legends, colors, and gridlines will give you a clean graph and allow you to concentrate your attention on your point. Legend is an effective strategy that can be used to clean up the graphic, and if done right, it makes it easier to interpret the graph. Labeling bars make it easier for your audience to process information to determine what each color in the bar chart represents.
Get feedback and iterate
Getting feedback can be very valuable, so try to ask other people to take a look at your data visualization. Ask your audience what they think about your graph and the first thing she noticed. Audiences have been known to provide great feedback and take note of what questions they have. Then establish how you can make your graph communicate the information more clearly.
Choosing the right data visualization software
Complete with exquisite visuals, our advanced data visualization software can make it easy for you to tailor your data to your audience and manipulate the data just how you want it. Contact us today for more information.
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