Information Visualization for Data Science - 1
Information Visualization is an area of study, which helps us to think and rethink of several venues to discuss the ideas, we like to present to anyone for any given reason. An interesting question arises here, what should be presented by us to a class, a C-Suite, an audience on the slide as text and formulas? This book will shed light the hints for being creative and above all, the appropriate handling and use of visualization. You might find some of it mundane, because you've always done it like that, using slides, and such media. As the current media of presentation stands here firm, still it is not written on stone. It is vital and important to make things conscious with alternatives to such thought process. We must decide to know, differentiate, what we want to tell, what we want to show.
Information Visualization is a field, which allows us to work with diverse set of fields, such as financial gains, loses healthcare, production, manufacture and many more, as there is no systematic training that will enable you to meet your presentation tasks. In the world of Big Data and Data Science the experience that in the course of our studies looks , boring, sweeping, dry, witty, stiff, brilliant, overloaded, garrulous and others.
We have seen with early computer-human interaction, which was for a small group of computer specialists on earlier IBM Mainframes and expensive supercomputers. However, in the current era of computing, it is now pervasive at every workplace, desktop, laptop and different kinds of cellular devices. Even in our cars, the use of graphical user interfaces is a common way of human-computer communication. It is also a fact that most technology folks have a clear idea in our technical, semi-technical world of computing of what is meant by scientific visualization, such as the graphical representation of Big Data, Data Science related Machine Learning data such as statistical data or computer animations processes, the field of information visualization is relatively new and still largely unknown. Let us visit the question, what is information visualization? Where we can use information visualization? What can be the possible problems and opportunities of information visualization found? How we can use information visualization to classify the trends?
Stay tuned for more, in next series of articles on this topic.
