Abstract: A tremendous amount of data comes with a huge amount of knowledge. Decent use of the persistent information can assist to beat provocations and support to determine further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand-fold reliable instead of textual representation. The premature data visualization system met some difficulties and there has some solution for handle this type of massive quantity of knowledge. Data science used two distinct languages Python and R to see big data in undeviating manner. There even have tons of tools in operating business. This paper is concentrated on the visualization technique of Python and R. R emerges 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're Bokeh, Seaborn, Altair, ggplot and Pygal. Also, with latest secure and powerful zero coding GUI's accessories to explain big data visualization for genuine recognition with practical determination. Method and process of visual description of knowledge are significant to recover specific knowledge from the large-scale dataset.

Keywords: Big Data Visualization; Python Visualization; R visualization; GUI Visualization; Zero coding Visualization; Visualization Tools

PDF | DOI: 10.17148/IARJSET.2021.8210

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