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Data Visualization Techniques, Model and Taxonomy

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Data Visualization and Knowledge Engineering

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 32))

Abstract

Data is all around us—even if we realize this or not. From daily weather reports to the fickle changes in the prices of the stock market and even as insignificant as the notification popping up on our cell phones. The data around us is growing exponentially and is expected to grow with a speed unanticipated and hence it becomes very important to store, manage and visualize data. To get a sense of how much data has become relevant to us gets justified by the very fact that almost the amount of data generated since the hundreds of years has been generated in the recent years and it gives us a general sense of how important data has become and it is expected to increase only in the imminent future, and that is why it is important to visualize the data.

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Correspondence to Shreyans Pathak or Shashwat Pathak .

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Pathak, S., Pathak, S. (2020). Data Visualization Techniques, Model and Taxonomy. In: Hemanth, J., Bhatia, M., Geman, O. (eds) Data Visualization and Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-030-25797-2_11

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