Data Visualization and its different types From the time immemorial man invented drawing and the script, we have learnt that a photo is worth thousand words. The use of this unique quantity may be in simple terms allegorical and figurative, but nothing reinforces this factor more than a new technological know-how (or tool, if you like) that seems to be turning into vital for businesses: Data Visualization.
Data Visualization is pretty a self-explanatory term. At its simplest, it is all about visualizing data. But what information is visualized, why, and how? And where does the data that is visualized come from? These questions take a seat at the core of this activity. We can apprehend Data Visualization as the illustration or graphic representation of the data that groups generate from a wide variety of sources. And these sources should be without a doubt somewhere from the Net, such as the social media, for instance. Big Data, the buzzword in the world of technology, turns up colossal amounts of data, all of which can be of widespread use for businesses, however only if they are explained and represented meaningfully in a visual format. This is what Data Visualization genuinely is. A statistics visualizer makes use of strategies such as graphs, charts, maps and so on, to explain business data. At the coronary heart of Data Visualization lies the concept that information should not only be in a palatable manner, but should also supply companies the perspicacity to enable commercial enterprise decisions. This ability that Data Visualization is no longer only about presentation, however also about evaluation and insightfulness.
Now, the different types of data visualization How does Data Visualization go about doing its job of making data look attractive and useful? Are there different types of Data Visualization? Yes, and these are a few of them: Column chart: This is mainly about using columns to represent what is contained in data. The vertical columns are drawn to help understand the difference between various units of data. Column Data is useful in helping explain medium to small data. Line chart: Line charts are considered a vital type of Data Visualization. Why? Simply because they can show how and to what extent data varied over a specified point of time. This is an important tool for analysis that helps to understand the degree of change of many important units.