What is Information Visualization?
Technology & Science / July 19, 2018

There are several situations in the real world where we try to understand some phenomena, data, and events by graphics. People considerate the world is driven by our access to information. So, we collect it on our finances, health, sporting events of interest to us. In fact, we collect it on pretty much anything we can think of. It’s almost to the point where we are overwhelmed by the volume. Some would say it’s not worth much, and they’d be right! We need some means to glean understanding from this excess of information. One way we might do that is through information visualization. Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. Definition of Information Visualization Information visualization focuses on the development and empirical analysis of methods for presenting abstract information in visual form. The visual display of information allows people to become more easily aware of essential facts, to quickly see regularities and outliers in data, and therefore to develop a deeper understanding of data. Interactive visualization additionally takes advantage of people’s ability to also identify interesting facts when the visual display…

What is Visual Analytics

We are living in a world which faces a rapidly increasing amount of data to be dealt with on a daily basis. In the last decade, the steady improvement of data storage devices and means to create and collect data along the way influenced our way of dealing with information: Most of the time, data is stored without filtering and refinement for later use. Virtually every branch of industry or business, and any political or personal activity nowadays generate vast amounts of data. Making matters worse, the possibilities to collect and store data increase at a faster rate than our ability to use it for making decisions. However, in most applications, raw data has no value in itself; instead we want to extract the information contained in it. Overview Generally, large scale organizations have large amount of data and information to process. They need some strong procedures and techniques to collect, analyze, process and visualize the data in order to get required results as well as to take the right decision in order to get their long term goals and objectives. Several software and tools relating to big data analytics, visual analytics are being used by companies in order to…

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