Big Data Visualization: Allotting by R and Python with GUI Tools

A tremendous amount of data comes with a vast amount of knowledge. Decent use of the persistent information can assist to overcome provocations and support to establish further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand times reliable rather th...

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Veröffentlicht in:2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) S. 1 - 8
Hauptverfasser: Fahad, S.K. Ahammad, Yahya, Abdulsamad Ebrahim
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.07.2018
Schlagworte:
Big Data
Big Data Visualization
Data visualization
GUI Visualization
Image color analysis
Libraries
Python Visualization
R visualization
Real-time systems
Visualization
Visualization Tools
Zero coding Visualization
ISBN:1538648369, 9781538648360
Online-Zugang:Volltext
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Zusammenfassung:A tremendous amount of data comes with a vast amount of knowledge. Decent use of the persistent information can assist to overcome provocations and support to establish further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand times reliable rather than textual representation. The premature data visualization system met some difficulties and there has some solution for handle this kind of big quantity of data. Data science used two distinct languages Python and R to visualize big data undeviatingly. There also have a lot of tools in operating business. This paper is focused on the visualization technique of Python and R. R appears including the extraordinary visualization library alike ggplot2, leaflet, and lattice to defeat the provocation of the extensive volume. Python has several particular libraries for data visualization. Commonly they are Bokeh, Seaborn, Altair, ggplot and Pygal. Also, with most modern, secure and powerful zero coding GUI's accessories to describe big data visualization for genuine recognition with practical determination. Method and process of visual description of data are significant to recover specific knowledge from the large-scale dataset.
ISBN:1538648369
9781538648360
DOI:10.1109/ICSCEE.2018.8538413