| Autor: |
Mehta, Rachana, Darandale, Smita, Periwal, Nidhi |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2855 Issue 1, p1-9, 9p |
| Abstrakt: |
Humongous data gets generated nowadays with the excessive usage of internet and web services be it on any platform or in any domain. To analyze and explore this high volume of data is a challenging task. To aid this challenging task Information Visualization is used. It studies the data and knowledge to make them interactive and representable through visual form like charts, graphs and histograms due to which it becomes easy to analyze the complex data. It is a quick, easy way to convey concepts in a universal manner. There are multiple usage of visualization like in offices to report tasks, manage operations, track progress and many others. Various visualization techniques are used to design the graphical representation of this innumerate amount of data. On the line of wide emergence in the field of big data analytics, the need for data visualization has gained larger significance. The paper provides a comprehensive survey of various visualization techniques and signifies their needs in the current scenario. Further it examines some of the most promising visualization tools. Additionally, we review visualization methods for big data and IOT based on different parameters and applications of visualization software like Tableau, Power BI and others which are created by different companies for business intelligence and analytics. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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