Data visualization designer
What are Important things about Data Visualization?
Data visualization. The phrase that is increasingly more spoken of, but I possess a feeling that many people lack the real definition or real feeling about what data visualization really is. Or, what it really must be. First I will try and clarify how it is, and just then can one consider just what the direct important things about meaningful data visualization are. — data visualization company
Despite the fact that some activities that is viewed as data visualizations have become old, most development has took place the past 30–40 years. For the reason that period, in the first organized papers of John Tukey or Edward Tufte, I believe that many scientists and later IT professionals felt like I felt when first unveiled in such literature. The dominant feeling was that everything fell in place and I asked myself how could I make countless mistakes inside my career connected to building reports, graphs etc.
Well, i believe the biggest mistakes in data visualization are made because people do not the required a higher level attention to it; these are certain they are fully aware what they are doing. Even on commercials from top BI vendors, one can possibly see glossy dashboards full of colors, 3D bar graphs and 3D transparent pie charts. For the untrained eye seems great, that is the core in the problem — it simply ‘looks’ great. Yet it’s informative? A lot of colors for encoding visual information brings about visual noise; on 3D bar graphs you can not read measures correctly, so if you are presented with a 3D transparent pie-chart, just pick any two slices and then try to ask yourself which slice is bigger and by just how much?
Hopefully congratulations, you agree that there is a lot more to visual presentation of quantities then in order to click a ‘convert to graph’ button in a few application. Whenever we consult fields of psychology, human visual systems and cognition or gest�lt principles of visual perception, we become conscious data visualization is a thing which needs to be done right and, much more importantly, it is usually learned and taught. Let’s emphasize one example. There exists well-known early stage of visual perception that develops very fast beneath the level of consciousness called preattentive processing. It enables every person to get capable of detecting a particular pair of visual attributes at great speed. The very first example that springs to mind may be the very text you read. Only require you to count present did the saying ‘visual’ appear in this text, you will need a minimum of 10 or 20 seconds on an answer. But, if every word ‘visual’ can be found in bold style and colored red, recognition will be imminent. Which will be because difference in color is going to be preattentively perceived. Other such categories include — by way of example — position, orientation, shape or size differences.
Each data visualization designer recognizes such simple principles, he can apply the crooks to any report or graph, data analysis or information dashboard. Only then could it supply a powerful ways to understand data. When performed correcly, data visualization is likely to make us think, compare data, read stories beyond our data, will put data from the right context and consequently help decision-makers to really make the right decisions.
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 company