Week 10 Discussion: Data Visualization Tool
Question
Week 10 Discussion
Respond
to the following:
- From the research you
did about information visualization, identify the tool you would be most
likely to use in a design project and explain why you selected it.


Solution
Week 10 Discussion: Data
Visualization Tool
Information
visualization is the process of presenting data and information in a
graphical display for easy comprehension since our eyes are easily attracted to
patterns and colors (Aparicio and Costa, 2015). Data visualization
software makes examination and comprehension of patterns, trends,
and outliers, and data easier by employing graphic features such
as graphs, maps, and charts. Information visualization software and
techniques are crucial in Enormous Data for analyzing enormous data volumes as
well as developing data-driven judgments. Dashboards, periodic reports,
marketing and business documents, investor presentation decks, and nearly
elsewhere data that needs to be digested quickly can all benefit from these
data visualizations (Bikakis, 2018). Several data visualization tools can be
used in a design project; Tableau is the best option I would use.
Tableau
offers several versions, such as desktop software, server-based internet
versions, and a publicly free alternative (Ling et al., 2016, July). There
are numerous information import choices presented by Tableau, ranging from
Data files to online Ads and statistical data analysis to Salesforce
information. Various chart styles and mapping abilities are presented as output
sets. Hence, designers may develop color-decorated maps that present a
piece of relevant information in a far more comprehensible style than a chart
or spreadsheet. Tableau's public option is available for
free to anyone searching for a sophisticated tool for creating
information visualizations that could be utilized in various scenarios,
ranging from broadcasters to political works to individual presentations (Ling
et al., 2016, July).
Tableau
is the best option for a wide range of designing projects due to its numerous
data input alternatives, mapping potential, publicly free edition,
and numerous instructional videos to stroll beginners through how to work
with the tool. It also offers a large collection of
visualizations and infographics developed with the free public
version to inspire others to make their visualization tool. However, its
non-free editions are somewhat costly, billed monthly at $70 per user account.
References
Aparicio, M., &
Costa, C. J. (2015). Data visualization. Communication design quarterly
review, 3(1), 7-11.
Bikakis, N. (2018). Big
data visualization tools. arXiv preprint arXiv:1801.08336.
Ling, C., Bock, J. S.,
Goodwin, L., Jackson, G. C., & Floyd, M. K. (2016, July). Comparison of Two
Visualization Tools in Supporting Comprehension of Data Trends. In International
Conference on Human Interface and the Management of Information (pp.
158-167). Springer, Cham.



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