Week 10 Discussion: Data Visualization Tool

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.