Data Visualization, the graphical presentation of data is a simple definition that reserves a universe of interesting contents. Especially because Data Visualization is probably present in your life and is not new. The difference is that with the advent of the internet and its consequent dissemination of information across the globe, data has become something very valuable, only that these gems are only useful when well organized and the Data Visualization methodology allows just that, the organization of information .

But after all, what does Data Visualization have to do with it? Well, actually, it's all about. This is because with Data Visualization you can take the data and list, highlight, superimpose, vectorize, color and diagram, so it is possible to organize the data in a visual way, which facilitates the understanding of this information.

Organizing information saves time, something precious in the rush in which we live.

For example, have you ever had to study something using timelines? If so, you can see how much it makes it easier to understand the subject. Organizing a sequence of facts as well as your characters over time through a timeline is really an excellent way to understand the story.

Let's go to a practical example, think of the geological ages. Cenozoic, Paleozoic, Mesozoic, Precambrian. Imagine having to understand each one of them without putting them in order. Draw a timeline with all the data relevant to each of these geological ages? It would be complex at the very least. Therefore, organizing data using Data Visualization methods, as we saw in the example, the timelines, makes information cohesive and understandable.

Data Visualization: the study and organization of data

Knowing that our mind handles visuals much better, the demand for data visualization has practically always existed, although it has its most burning concept today. The first person who had this insight to use data visualization and to organize data through a timeline was a renowned scholar named Joseph Priestley.

His timeline was a detailed work of six hundred years, more precisely the period from 1200 to 1800 BC We will talk more about the work of Joseph Priestley below, but it is also interesting to bring here current examples such as Cole Nussbaumer who does an excellent job storytelling through Data Visualization. You can find more information about Cole and other Data Visualization minds in the text 5 brilliant data visualization minds.

The 3 curious methods of Data Visualization

As we already said here in this text, Data Visualization is not new as a practice. For a long time, human beings have been working hard in the search for more direct and simple ways of exposing the data presented.

There are several historical theories that seek to explain when the human being started to create graphic representations of anything, whether it be considered as art or an account of his daily life. The fact is that with this it is possible to affirm that Data Visualization has always been present in the routine of all human beings.

Now that you're familiar with the concept of Data Visualization, it's time to get to know a little about the curious methods used to apply data in an organized way. Come on.

Method 1

The first method is by the German astrologer, astronomer and mathematician, Johannes Kepler. Yes, that same one of the famous Kepĺer Laws taught in physics at school, field of celestial mechanics. Kepler is recognized as a crucial figure in the scientific revolution of the 17th century.

In its structure, the Rudolphine Tables, there is a powerful statement about knowledge and time. This structure is the graphic representation of a catalog of stars and planetary tables. It is named after Rudolf II, who was Holy Roman Emperor. Their tables had the scope to predict the positions of the planets based on calculations.

An important fact is that the reason that led him to create these Rudolphine tables was the fact that there was a discrepancy between his calculations with the calculations of the Alphonsine tables and with Copernicus.

Method 2

The second curious method that we separate here is from Johannes Buno, theologian and educator who was also German. Although he is not as well known as Kepler, Buno also has a renowned history with important ones.

In his 1672 representation, Johannes Buno puts each millennium before the birth of Christ represented by a great allegorical image. The four millennia that spanned Creation in 4004 BC until the birth of Christ, he found four comprehensive images. They are: an eagle, a set of boards, a camel and a dragon. Respectively representing the first, second, third and fourth millennium.

It is interesting to note how didactic is the representation of each of the millennia through the graphic representations that carry a series of symbolic elements for the explanation of such complex data. Did you see how Data Visualization was already very common since the earliest times?

Method 3

The third curious method is also the pioneer. It's Joseph Priestley's timeline. In it, Priestley manages to synthesize an entire 600-year history in a very elaborate timeline. It subdivided the professions of the time to list the functions of each one by means of classes. The first insight to represent time by a timeline.

Timelinefy is the most current and complete example of a timeline. In it, you can organize data in a unique way with the timeline methodology.

Other more traditional methods

Now that you have learned about curious methods of data visualization, it should be noted that there are more traditional forms of data visualization. As an example, we have graphical tables, graphs like age pyramids, diagrams that explain complex processes, flowcharts that synthesize a process within a company and so on.

These more traditional methods are likely to be better known to you, but what is important for you to know is that Data Visualization is so versatile that you can create it any way you want. The important thing is to know how to organize your data. Whether they are in a more symbolic and artistic way or more objective. Everything will depend on the occasion and your goal.

Conclusion

Now you are more familiar with the concept of Data Visualization and know that using the methodology to organize data and information simplifies the understanding of the subject. After all, Priestley, Kepler and Buno were not short of inspiration.

The truth is that there is a universe of sources for you to be inspired and make Data Visualization an indispensable tool. Whether professional or personal.

Thus, it is easy to do well when creating that seminar presentation, or when presenting data about a company, or when developing research that requires crucial data for decision making.