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 to 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 data.

1. Big Data Visualization: Allotting
by R and Python with GUI Tools
Big Data Visualization: Allotting
by R and Python with GUI Tools
SK Ahammad Fahad
Faculty of Computer and Information Technology
Al-Madinah International University
International Conference on Smart Computing and Electronic Enterprise
Kuala Lumpur, Malaysia - July, 2018

2. Data Visualization
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018

3. Data Visualization
The human understanding prepares perceived visual
data 60,000 times responsive than text.
Visible information estimates for 90 % of the instruction
spread to the brain.
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
Visualization helps to create a sense of it all.
It makes complex data more accessible, understandable
and usable.
Its great for particular analytical tasks, such as making
comparisons or understanding.
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018

4. History
10th century multiple time-
series graph of the changing
position of the seven most
prominent heavenly bodies
over space and time described
by Funkhouser.
William Playfair’s
1821 time series
graph of prices,
wages, and ruling
monarch over a 250
year period.
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018

5. Challenges
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6. Big Data Visualization
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018

7. Data Visualization By R, Python
and GUI Tools
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018

8. Visualized by R
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9. Visualized by R
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018

10. Visualized By Python
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11. Visualized By Python
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12. GUI Tools
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018
Tools Key Feature
Tableau
(i) Once online, others will transfer and manipulate visualizations.
(ii) Desktop application however completed graphics square measure hold on a public server.
(iii) Store up to 50MB of information (with free plan)
(iv) Drag-and-drop interface; no programming skills needed
Infogram
(i) Interactive promoting reports, sales collateral, and more.
(ii) Import information, customize, and share.
(iii) Simply shareable dashboards that visually track business.
(iv) Mapmaker to publish professional-quality interactive maps.
(v) Tremendous bank of photos and icons for Facebook, Instagram, and Twitter.
ChartBlocks
(i) Spreadsheets, databases, even live feeds. Import information from anyplace.
(ii) Chart building wizard to select the proper information.
(iii) Control virtually every facet.
(iv) Grab the embed code to place chart on website or share it instantly.
Datawrapper
(i) Charts text doesn’t become too tiny, fewer labels seem, the color key changes its position.
(ii) Create charts quick, simple.
(iii) No coding or design skills. No installation needed.
(iv) Charts become interactive. Bars or map areas to ascertain the underlying values and perceive the chart higher.
(v) Fonts, colors, and spacing that precisely utilized in the actual newsroom, and support team can produce a chart
vogue only for the client.
Plotly
(i) DEVELOPERS: Python, R & Shiny, MATLAB, Javascript
(ii) DATA SCIENCE: Dash, Plotly.js, Plotly.py, Plotly.R
(iii) BUSINESS INTELLIGENCE: Chart Studio, Dashboards, Slide Decks, Falcon SQL consumer (Free)
RAW
(i) As easy as a copy-paste, No worries, information is safe.
(ii) Conventional and unconventional layouts.
(iii) Understand and map visually your information dimensions, Visual feedback, at once.
(iv) Semi-Finished vectors and information structures.
Visual.ly
(i) Started quickly, collaborate directly, flexible to grow.
(ii) Start with a strategy, integrated product, and services.
(iii) Specialized creative professionals, modify quality.

13. GUI Tools
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018
Tools Cost
Tableau
(i) Public Edition – Free
(ii)Personal Edition – $999/user
(iii)Professional Edition – $1,999/user
Infogram
(i) Basic – Free;
(ii)Pro - $19/month;
(iii)Business - $67/month;
(iv)Team - $149/month;
(v)Enterprise - Contact for resolution
ChartBlocks
(i)Basic – Free;
(ii)Personal - $8/month;
(iii)Professional - $20/month;
(iv)Elite - $65/month
Datawrapper
(i)Single 10k – free;
(ii)Single Flat - 29€/month;
(iii)Team - 129€/month;
(iv)Custom - 279€/month;
(v)Enterprise - 879€+
Plotly
(i) Cloud: STUDENT: $59/year; PERSONAL: $396/year; PROFESSIONAL: $948/year
(ii) ON-PREMISES: $9,950/year, 5 User License; ON-PREMISES+DASH $15,950/year,
5 User License
(iii) Plotly: COMMUNITY: (free); PERSONAL: $396/year; PROFESSIONAL: $948/year
RAW Free
Visual.ly Contact for quota

14. Refarences
International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018
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15. International Conference on Smart Computing and Electronic Enterprise, (ICSCEE2018) ©2018 IEEE, Kuala Lumpur, Malaysia - July, 2018