The UX designers need to select a visualization type carefully by considering the following factors: Design of Visualization Each visualization has its own purpose and usage guidelines and should be selected based on the available data and user expectations.Ī few common visualizations are shown below:Ĭommon Visualization Types: (a) Sunburst Chart (b) Sankey Diagram (c) Polar Coordinates Chart (d) Parallel Coordinates Chart (e) Treemap (f) Heatmap It is essential for UX designers to continuously grow their knowledge about the wide range of available visualization approaches. If you select a visualization type that is not making it easier to define the relationship of data, then the visualization is not useful. The main purpose of a visualization is to provide an easier way for the human brain to understand and analyse patterns, trends, and outliers in big data. Selecting a visualization type that fulfills the requirement of visualization is a key step in designing big data. How to process data and present it in visualization totally depends on how your users will use it to achieve their goals. Try to find the purpose of the visualization and identify what the user wants to see and analyse to make better decisions. It is important to define the problem that you want to resolve using big data visualization. This will help you to define the complexity of the proposed solution. Check their level of expertise and understanding of advanced visualizations. Observing the users and their behaviours helps you decide what interactions you need to provide, and when to provide them. The UX designer performs user research and identifies the users who will use the designed visualizations for better decision-making. Like any other design task, big data designing also requires the involvement of users from the beginning of the process. To provide a design solution to any problem, it is important to understand the users who are going to use that solution. How Does UX Design Help in Visualizing Big Data?īy applying UX principles, you can achieve the real purpose of big data visualization by simplifying the presented information. Providing meaningful interactions to give more insights into the presented data. Selecting the appropriate visualization to present the required information. Understanding the problem that you want to resolve with visualization. A few main challenges are mentioned below, and since data and design need to be integrated together to provide an enhanced user experience, we can see how UX design principles can help to overcome these challenges. Since the main purpose of big data visualizations is to provide a visual way to understand complex data, there are certain challenges designers face while trying to keep the visuals simple. Advanced visualization techniques are required to best present big data to the audience. Simple visualizations like bar, line and pie charts do not provide enough features to handle big data in a single representation. Interactions allow users to filter and drill-down the information to deeper levels and analyse the underlying story. Using a visualization is the first step and providing interactions to see more insights into data is the next step towards the understanding of big data. If it makes sense to the audience, they can communicate it to relevant stakeholders. Visualization is a way to help humans make sense of the data. Visualization helps to organize and present big data in an easy-to-perceive way, especially in cases where problems are complex and it is difficult for humans to analyse the data and understand its meaning. To get the real benefit of big data and to use it in the decision-making process, humans need an easy way to understand data and perform fast and rational decisions. The importance of good visualization representation is increasing as data is becoming more complex and larger in quality.
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