An Overview of Data Visualization techniques, features and their critical analysis

Computer Engineering

A powerful tool for presenting huge datasets in a graphical style, data visualization also fosters fresh innovation and discovery. It is referred to as an active and energizing tool that opens up new research avenues and streamlines the scientific method. A significant amount of data is generated every day as a result of the widespread use of the internet and the web. Thus, there is a requirement to comprehend complex and substantial amounts of data. When there is a lot of data, different data processing methodologies must be used, and different sorts of methods and techniques must be used to show the data. Data visualization is essential to the success of any business because it makes it possible to effectively manage data and use it to create knowledge. Visualization, in general, is the process of giving statistics and data a visual representation. The visualization methods make use of a variety of computer graphic effects. Although it might be difficult to visualize data, it is much simpler to grasp data when it is presented in a visual manner as opposed to text, numbers, or big tables with several rows and columns. In this context, the article proposes a thorough explanation of data visualization fundamental ideas, along with a comparison of their various features and methodologies

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