What is Visualization?
Visualization is the process of representing or showcasing data in a pictorial format and interacting with these representations in order to gain insight into the data or information. The act of visualization is useful in many ways.
We live in a data-packed world where tech is advancing at an incredible pace. The quantity of data is growing at a persistent speed creating what is known to be Big Data. Big Data involves datasets that grow to such an enormous size that it becomes difficult to work with them using traditional data management applications. Hence, the importance of Visualisation
The beauty of excellent content is that it will have the ability to paint a clear picture in the reader’s mind, just as truly effective visuals should tell a story with the data we have. Here are the six different types of Visualisation used in this day and age as per Curtin University.
Information Visualization
Information Visualization is concerned with the design, development, and application of computer-generated interactive graphical representations of information. This often implies that information visualization primarily deals with abstract, non-spatial data.
Transforming such non-spatial data to intuitive and meaningful graphical representations is therefore of fundamental importance to the field. The transformation is also a creative process in which designers assign new meanings into graphical patterns.
Like art, information visualization aims to communicate complex ideas to its audience and inspire its users for new connections. Like science, information visualization must present information and associated patterns rigorously, accurately, and faithfully” (Chen, 2015).
Data Visualization
Data visualization is the use of tools to represent data in the form of charts, maps, tag clouds, animations or any graphical means that make content easier to understand. Graphic representations of data are popular because they open up the way we think about data, reveal hidden patterns, and highlight connections among elements.
The current web applications allow anyone with access to data to enter information and easily create a virtualization of it, students, informal learners, and the purely curious can now easily create visualizations that might reveal trends that were not obvious from the numbers alone.
For scholars, particularly those whose conclusions depend on the interpretation of complex statistics, data visualization offers the promise of easier communication and a wider audience for their findings.
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Scientific Visualization
This type of visualization is used by Scientists to explore medical, biological, architectural, and meteorological subjects. The information is often visualized in 3D and relies on the most advanced technology (computers) to model and analyze very large data sets.
Scientific visualization is focused on presenting data to users by means of images, in the hope that the data aids understanding.
A combination of Information, Data, and Scientific visualization are very crucial for a solid format of storytelling for your brand in order to make it digestible for your audience.
Visual Power
Visuals have the power to tell a brand’s story or to explain new features and products without excessive information or a detailed picture of a particular product or service. It’s easy to grasp and learn from.
As humans, who are visual storytellers by nature, therefore applying the basic principle for the audience or potential customers will create and a better bond between the brand and the audience which otherwise would go under the radar.
The idea behind data visualization is that the same information which is represented graphically could be written about endlessly, or it could be illustrated in any other format for better consumption. With precise data and effective format, you could hit a home run with any category of the audience irrelevant to the niche or category of data that you plan to visualize.
Data visualization plays a massive role in transforming boring spreadsheet data into a visual treat for the audience to consume. That’s why visuals are so effective and explosive for this day and age.
If a picture like everyone says, is worth a thousand words, think of how easily communicated a single piece of data can be in pictorial format.
Still, it’s crucial for data to meet the design. Complexities of information can often be difficult to communicate through written language.
When finally picturing the data, it is very important to spot the valuable insights to sort the out data which needs to be visualized to see which metrics matter the most from the set of data. Finding the sweet spot to visualize the right data is the key.
Visual data can depict growth, unique site visits specific to certain marketing campaigns, the success of your marketing efforts, and its effect on different populations and target audiences.
The job of data visualization and infographics alike is to simplify the message being delivered. Stories can too easily become lost on the audience when graphs require them to do too much work of their own which would make the whole process useless.
When written content and visual format align in a perfect ratio, it would make your brain actively work and process to mentally understand the information being presented to them. Studies have found that images can improve learning by up to 400%! Hence, the ability to grasp information gets exponentially better and faster processing.
Don’t agree? The rapid growth of Instagram in a short span of time implies the importance of visual content over a text-based content platform like Twitter. And they also have the probability to go viral compared to other formats.
So, content must have a defining factor that stays in the viewer’s mind. It must be deemed worthy of being shared by the audience it is shown to. Often times edits and changes are required to be made to the initial piece of content before it effectively goes viral. Viral content is universally adored. And more often than not, it comes in the form of easily digestible imagery.
At the point when an account is combined with convincing imagery, content turns out to be all the more effortlessly known by the audience. Since outwardly prepared data is less demanding to digest, components, for example, shading, size, and introduction are only a portion of the numerous qualities that can have a universal effect on your audience by communicating with data.
