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Visual Data Analysis

Sometimes, data can be overwhelming. There’s too much of it, too little time to comprehend it, or you simply can’t see the data you have available at your disposal. If so, visual data analysis can help you make sense of it all, by combining data analytics and data visualization techniques.

What is Visual Data?

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

What is data visualization and why is it important?

Data visualization is the representation of data or information in a graph, chart, or other visual format. It communicates relationships of the data with images. This is important because it allows trends and patterns to be more easily seen. That fact showcases the importance of data visualization.

What components of a visual data analysis solution should have?

Data analytics alone can be powerful. However, it can be difficult to see the big picture or how one set of data relates to another. Visualization tools by themselves may make static mashups and presentations of data easy to grasp. Yet they may lack the ability to drill down, tweak or explore. Visual data analysis brings you the best of both worlds. See the full article for more details.

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