Data visualization designer
What Are the Important things about Data Visualization?
Data visualization. The word which can be a growing number of spoken of, on the other hand have a feeling that numerous people not have the real definition or real feeling in what data visualization really is. Or, just what it should be. First I am going to try and clarify what it's, in support of then can one consider what are the direct benefits of meaningful data visualization are. - data visualization designer
Even though some activities that is viewed as data visualizations have become old, most development has happened the past 30-40 years. For the reason that period, through the first organized papers of John Tukey or Edward Tufte, I have faith that many scientists and later IT professionals felt like I felt when first shown such literature. The dominant feeling was that everything fell into place and i also asked myself how could I make numerous mistakes in my professional life attached to building reports, graphs etc.
Therefore I feel that the most important mistakes in data visualization are made because individuals never pay the mandatory a higher level focus on it; they may be certain they understand what they are doing. Even on commercials from top BI vendors, it's possible to see glossy dashboards packed with colors, 3D bar graphs and 3D transparent pie charts. For the untrained eye that appears great, but that's the core in the problem - it just 'looks' great. Yet it's informative? Plenty of colors for encoding visual information contributes to visual noise; on 3D bar graphs you can not read measures correctly, so if you are given a 3D transparent pie-chart, just pick any two slices and continue to contemplate which slice is bigger and also by simply how much?
Hopefully you agree that there are far more to visual presentation of quantities then only to click a 'convert to graph' button in most application. Whenever we consult fields of psychology, human visual systems and cognition or gest�lt principles of visual perception, we become conscious that data visualization is one thing that has to be done correctly and, much more importantly, it is usually learned and taught. Let's emphasize only one example. There is certainly well-known early on of visual perception occurring quickly below the degree of consciousness called preattentive processing. It enables every man to become able to detecting a particular set of visual attributes at great speed. The first example that springs to mind will be the very text you read. If I require you to count present did the word 'visual' occur in this text, you will want at the very least Ten or twenty seconds with an answer. But, if every word 'visual' appear in bold style and colored red, recognition will probably be almost instantaneous. That'll be because alteration in color is going to be preattentively perceived. Other such categories include - for example - position, orientation, size or shape differences.
Once a data visualization designer knows such simple principles, they can apply them to any report or graph, data analysis or information dashboard. Only then does it give a powerful means to make sense of data. When done right, data visualization is likely to make us think, compare data, read stories from our data, will put data within the right context and ultimately help decision-makers to help make the right choices.
Perceptive Analytics specializes in creating custom data visualizations. Conveying meaning in data quickly is the focal point of analytics. Visual analytics helps you discover new relationships in data, prompts you to ask new questions, and helps you convey what you see to others. Join us for this webinar to learn how to unlock the potential of your data using data visualizations. - data visualization designer