Visualization: For Business
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Data visualization techniques like graphs, charts, and diagrams can help businesses efficiently analyze large amounts of data and gain new insights that can improve decision making. Visualizing business data in tools such as Tableau, Google Charts, and QlikView allows analysts to quickly identify trends, understand problems, and align stakeholders on the best solutions. When done well, data visualization changes how a company thinks about its operations and performance by facilitating discussion and consensus around what the numbers really mean.
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estimates for 90 % of the instruction spread to the brain [1]
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International Conference on Smart Computing and Electronic Enterprise. (ICSCEE2018) ©2018 IEEE
Big Data Visualization: Allotting by R and Python
with GUI Tools
SK Ahammad Fahad
Faculty of Computer and Information Technology
Al-Madinah International University
Shah Alam, Malaysia
[email protected]
Abdulsamad Ebrahim Yahya
Faculty of Computing and Information Technology
Northern Border University
Rafha, KSA
[email protected]
Abstract—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.
Keywords—Big Data Visualization; Python Visualization; R
visualization; GUI Visualization; Zero coding Visualization;
Visualization Tools
I. INTRODUCTION
Data visualization narrates the illustration of substance
info in graphical appearance. Information visualization
complies us to identify sampling, propensity, and interrelation.
The human understanding prepares perceived visual data
60,000 times responsive than text. In fact, visible information
estimates for 90 % of the instruction spread to the brain [1]
[5]. Today’s enterprises have entrance to an enormous
quantity of knowledge generated from each within and out of
doors the organization. Knowledge visualization helps to
create a sense of it all. Human movement a specific purpose or
simplifying the complexities of mounds of information doesn't
require the utilization of knowledge visualization, however, in
a way; today's world would probably necessitate it. Scanning
different worksheets, spreadsheets, or reports are ordinary and
wearisome at the best whereas observing charts and graphs is
often sufficient easier on the eyes[4]. With massive
information obtaining bigger and wider, it's competent to
undertake the notion that the utilization of data visualizat.
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- 1. Data Visualization Will Change the Way You Think About Your Business Article source: https://www.americanexpress.com/us/small-business/ openforum/articles/data-visualization-will-change- the-way-you-think-about-your-business/ Type: C By: Diwas Kandel (17618843)
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- 3. Visualization Techniques • Graphs • Pie Charts • Diagrams • Data tables
- 4. Tools for Business SizeUp Tableau Software Roambi Analytics SumAll QlikView Google Charts
- 5. Impacts Great visualizations are efficient — they let people look at vast quantities of data quickly Visualizations can help an analyst or a group achieve more insight into the nature of a problem and discover new understanding A great visualization can help create a shared view of a situation and align folks on needed actions