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CNCC Data Visualization Graphic Representation & Systemic Mapping Discussion

CNCC Data Visualization Graphic Representation & Systemic Mapping Discussion

Question Description

Visit the university’s (University of the Cumberlands) online library, and complete a search using “data visualization”, with the following options selected:

Full Text + Print

Scholarly (Peer Reviewed)

Publication date – must be 2015 through 2020

You should receive about 423,353 results.

Select two results that have NOT already been used in the forum to post the following:

Include the title and author(s), data published and publisher. Include a summary of the content in your own words. Include why you selected each particular result.

other student work;

Data visualization is a means of presenting data in a way that is easy to understand and understandable by humans. In business visualization, it’s about making things look a certain way with the data in a way that conveys what is most important. In other words: visualizing business value is not data visualization (Cardno, Ingham, Lewin, & Singh, 2018). It is a visual application which creates data by visualizing data from one or more sources. Data visualization includes a visual description of the data, a code for creating and displaying the data, and a series of charts used for making an analysis of the data. Thus the purpose of data visualization should take into account both the visual design of the project and the data source. Using data is key to visualizing any data visualization project, whether it is for marketing or research (Cardno et al., 2018).

Data visualization is the process of creating visualizations that show data, in a way that makes it easy to understand, analyze, and communicate these results. Data visualization uses a number of tools such as graphics to provide information that is relevant and useful to the user (Qin, Luo, Tang, & Li, 2020). This includes pie charts, bar charts and pie-tables. These techniques can be used with any data, such as text and graphics data that is easy to understand. The data visualization community, at its core, is a network of users who have a particular interest in data visualization and, by implication, are motivated to create and contribute to a high quality website that helps them communicate the data in a meaningful way (Qin et al., 2020).

Reference

Cardno, A. J., Ingham, P. S., Lewin, B. A., & Singh, A. K. (2018). U.S. Patent No. 9,870,629. Washington, DC: U.S. Patent and Trademark Office.

Qin, X., Luo, Y., Tang, N., & Li, G. (2020). Making data visualization more efficient and effective: A survey. The VLDB Journal, 29(1), 93-117.


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