Data visualization has widely spread in websites that provide information. Data visualization is getting used in journalism, industries, tech firms, etc. more and more where the sites offer insights into the data. Our brains can easily capture and understand the data when it’s presented visually in charts and graphs. So, if you want to provide information and data about your business, you should show them in a visualized way. In this article, I’ll tell you about the ways of making your data visually effective.
Top 3 Practices to Make Data Visualization Effective
1. Design for Target Audience
Data on any product is boring, and if it’s presented directly towards the customer, the customers won’t read it, and the main point of showing the data to them will become useless. That’s where data visualization comes into play. A good designer knows how to show the data to the customers in an easy way and according to the context. If a designer shows unnecessary data to the customers, the customers will lose interest. So, a good designer must know the context and what data to use. Besides, a designer needs to consider the target audience. Based on the audience group, the designer will have to describe the data. If the audience is a novice, the designer will have to show them in easy graphs and charts. The data should be engaging and structured. The designer should spell out in words directly about what to take away from the data. Most of the customers are a novice in reading data. That’s why you should present the data in a structured and easy way to make it effective.
Again, if your customer group is an expert, you should present the data in a granular way. In this case, the data should be explored by the reader.
2. Combine Interactivity with Key Data
Most of the designers focus on interactivity while presenting the data to the customers. But sometimes alone, interactivity cannot grab the audience. You need to show the key data before an interactive visualization. You shouldn’t hide key data behind interactive design and elements. Moreover, you can avoid interaction to show your key data to the customers.
Interactivity is important, but you shouldn’t compromise when you need to show the key data of your products. You can use interactive elements to grab attention. But alone interactivity will reduce the effectiveness of data visualization.
3. Directly Label the Data Points
Many designers believe that if they label the same type of data in the same color or symbol, it’ll be easier for the readers to read the data. But it’s a wrong concept. It’s easier for designers to show the data using legends, but it isn’t very easy for readers to read the data because the customers will have to go back and forth to understand the data. It puts a strain on the readers’ minds, and the customers lose interest in the data. As a designer, you should reduce this strain from the reader. For this, you can label the data series directly on the website. It may seem not very easy at the beginning, but as a designer, your work is to make the information easily understandable.0