BIG DATA VISUALIZATION DESIGN PRINCIPLES. Research Paper (Research Paper Sample)

BIG DATA VISUALIZATION DESIGN PRINCIPLES
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Telling a Good Story Using Data Visualization Techniques
In the contemporary world of Big Data, the technique of visualizing large sets of data involves a step-by-step process of presenting data mainly by encoding it using design elements that provide accessible ways of understanding data patterns, outliers, and data trends. Therefore, we can use data visualization elements to conduct thorough analysis of large sets of information in order to establish data-driven decisions. The fact that human culture is visual, data visualization techniques utilizes visual arts such as maps, charts, and graphs to grab our attention and interest. The technique is often a storytelling with a purpose. The graph below provides a clear story that can be used as the perfect example of data visualization.
Source: CITATION Mar18 \t \l 1033 (Martin, 2018)
In this sense, businesses often utilize the right visualization technique to read data and to tell a story in a creative way by drawing conclusion about the set hypothesis, establishing patterns and trends, and/or prove theories that can one way or another help organization to make data-driven decisions. Exploratory and Explanatory data visualization techniques are, however, crucial in analyzing data.