Data Visualization

Start visualizing data in a new way

Data visualization is a phrase that lately comes up with increasing frequency. Many people lack a real understanding of the exact definition and what it entails - and even fewer people understand its true potential. It is important for prospective users of this technology to grasp the concept of data visualization in order to reap its substantial benefits.

Origins of data visualization

Although some forms of data visualization have been in existence for some time, most advances have occurred in the past 30 to 40 years with the proliferation of computers. The first scientific approach to this concept was undertaken by John Tukey and Edward Tufte, the authors of the academic papers on the subject. Many scientists and IT professionals ignored this literature at the time, only later realizing its importance.

Pitfalls to avoid

Certainly the biggest mistake committed in the implementation of data visualization stems from failure to devote enough attention to the level of professional detail required. Some practitioners sincerely believe they know what they are doing when they do not. As a consequence, commercials from even the top business intelligence vendors can fall short; improperly executed data visualization results in mismatched colors and sloppy visual effects. To someone who is not properly trained, these flaws might not stand out, but the images are far from well-rendered. The presence of unbalanced colors when encoding different images may lead to unwanted visual noise - often the case with 3D visualization graphs. Similar mistakes occur in the creation of 3D pie charts; incorrect presentation can leave viewers confused as to which slice is actually larger and by how much.

An integrated science

In order to properly use visual presentation, it is essential to consult the fields of psychology and cognitive behavior. Fortunately, reliable information is available on the principles of applying data visualization with an understanding gained from psychology. When executed properly, data visualization provides a powerful means to make data ever present in the eyes of dedicated clients or casual observers.