Data Visualization: The Importance Of Data Visualization

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What is data visualization Data visualization is the representation of data in a visual context so that people understand the data better. Some of the patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software. Today’s data visualization tools are more than just charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways like infographics, dials and gauges, geographic maps, spark lines, heat maps, and detailed bar, pie and fever charts. The images can also include interactive capabilities thereby enabling users to manipulate them or dig deeper into the data for analysis. Alerts can be setup to inform the users when…show more content…
The two leading vendors in the BI space, Tableau and Qlik have emphasized visualization which caused other vendors to move towards visual approach in their software. Virtually all BI softwares has strong data visualization functionalities. Data visualization tools have played an important role in democratizing data and analytics and making data-driven insights available to workers throughout an organization. They are easier to operate than traditional statistical analysis software, leading to a rise in data visualization tools. Data visualization software also plays an important role in big data and advanced analytics projects. As businesses accumulated massive troves of data during the early years of the big data trend, they needed a way to quickly and easily get an overview of their data. Visualization tools were the solution. When a data scientist is writing advanced predictive analytics or machine learning algorithms, it is necessary to visualize the outputs and monitor results to ensure that models are performing as intended. This is because visualizations of complex algorithms are generally easier to interpret than numerical
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