The paper concentrates on the importance of visualizing quantitative information in the form of graphs and the best practices in creating graphs based on a particular context. The viewing of presentation of data visualization as a sequential series of steps is more productive since the improvements and effective data presentation can be done in incremental steps adding improvements in every step. The seven different types of relationships in quantitative business data expressed in the paper are very helpful in deciding on the method of visualization to be used to express a meaningful relationship between the quantitative data.
The author stresses the importance of simplicity and avoidance of unnecessary details in the graph which are important from a business point of view where the data needs to be expressed as clear as possible to avoid the confusion and get a good solution because in most cases this visualization is used as an intermediary step in arriving at a solution. The expression of data as 2-D model helps in most cases but with the availability of complex tools 3-D visualization can be more expressive and increase the understandability of data in various applications. The author's statement about proper utilization of colors and contrast to visualize the data or highlight a particular part of the data gives a better understanding of the quantitative results to represent some aspect like severity. The paper explains the better and effective way for communicating quantitative business data to the audience of importance in a intuitive and it affects the impact produced when compared to conventional means.
The author stresses the importance of simplicity and avoidance of unnecessary details in the graph which are important from a business point of view where the data needs to be expressed as clear as possible to avoid the confusion and get a good solution because in most cases this visualization is used as an intermediary step in arriving at a solution. The expression of data as 2-D model helps in most cases but with the availability of complex tools 3-D visualization can be more expressive and increase the understandability of data in various applications. The author's statement about proper utilization of colors and contrast to visualize the data or highlight a particular part of the data gives a better understanding of the quantitative results to represent some aspect like severity. The paper explains the better and effective way for communicating quantitative business data to the audience of importance in a intuitive and it affects the impact produced when compared to conventional means.
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