One of the most valuable things for today is data. Companies want information from their customers. What is the customer looking for? Which movie does he want to see? What is your musical style? Is he looking for something specific? And nothing better to provide this information from the Internet itself. Yes, the internet contains a sea of ​​information about its users. And how companies like Amazon, Netflix and Spotify use this data to offer the right product to their customers. In addition to winning over future consumers.

But, this huge amount of data is of no use if there are no specific back tools to process and group them in a way that optimizes them as analyzes and facilitates an interpretation. For this, there are tools to organize and make data more visual. That is, transform the numbers into useful information. Graphs, tables, infographics, timelines, diagrams and maps are some examples of data visualization options.

However, you must be asking where the title words Big Data and Data Visualization come in, in that context. Or rather, what do these expressions mean? In this article, you will better understand these concepts, although they are normally used in English, have a translation into Portuguese. And yes, one complete is available for another.

The Big Data Explosion

The term Big Data, or big data in Portuguese, started to be used recently. An expression started to be used in 1997 and only in 2005 it was made official.

However, the Big Data story started many years earlier. The first records of a large amount of information collected and processed are from 1663. That year, scientist John Graunt collected data from several sources and in large quantities for a study on the bubonic plague epidemic. Quantity that until then has never been analyzed by any other researcher.

But, John Graunt's studies were done without the use of any equipment. The data was all processes manually. It was during the United States census in 1890 that the first data processing machine was launched. A change was absurd. The previous census, carried out in 1880, took 7 and a half years for its manually processed data. With a machine created by Herman Hollerith it was possible to arrive at the results of the 1890 census in just 1 year and a half.

In the 20th century, during the Second World War, in 1943, there was a major milestone for data processing. The British developed the first digital machine to process information. Named Colossus, a machine was used to decipher the codes sent by Nazi rivals.

In the coming years, the United States began to invest heavily in data processing. We created public bodies to address the issue, which was already entitled to use Cold War policies. Thus, it was necessary to process and store daily data.

In 1989, there was a big evolution of Big Data, when the British Tim Berners-Lee created something to facilitate the exchange of data and information as people. This "something" was nothing less than the World Wide Web, known to everyone on the WWW. The revolutionary creation changed the way of generating data, in addition to allowing a much larger share and storage than seen until then. Since then, this area of ​​knowledge has developed more and more, in addition to having several programs and software that help in its evolution.

Data Visualization: understand the application of this concept

Data Visualization, or data visualization in Portuguese, is an expression used to define the presentation of data in a more visual way.

There are a few ways to turn data into visual information. A well-known one, seen daily in newspapers and news, is the graphics. However, the graphs are just a tip of the iceberg of the universe, that of data visualization. It is possible to use histograms, matrix, tables, diagrams, maps, infographics and even timelines to represent Data Visualization. Some of these formats are already well known. Others not so much. Below, you will find the explanation and examples of application in 3 forms of data visualization, which are simple and dynamic to be used.

Timelines

When in addition to the data it is also necessary to understand a chronological order, the first thing that comes to mind are the timelines. They are great for telling a story, whether from a person, a place or even an object. And of course, always respecting the structure of the events of the facts.

The timelines allow you to show the events in sequence and make it easier for the reader to move through the years without getting lost in the content. It is worth remembering that this form of Data Visualization mixes information from historical time with that of chronological time. If you want to know more about the difference between these two ways of measuring time, you can read more in this text.

Timelinefy is a digital tool that allows you to work on the elaboration of timelines. In this way, it is possible to organize facts and information over a period, in a simple and visual way.

The idea of ​​the tool is to make historical moments easy to understand, through this style of organization and visualization of data. For this, it is possible to add multimedia, transforming each timeline into a unique experience. To learn more, try the tool!

Infographics

When you imagine an infographic, the image of design elements usually comes to mind. However, infographics have been used for many years by different societies in history. So much so that there are prehistoric records of cave paintings that are defined as the first infographics.

Infographics allow data to be presented using a highly visual format. That is, a way of visualizing the elements being very dynamic. For this, graphics, images, maps and other forms of data visualization are combined with some short and summarized texts on the theme. And, of course, a lot of design, which in addition to making the layout more attractive, also helps to facilitate the understanding of the theme.

This form of Data Visualization can be used in several areas and themes. There are some websites that help you to create very fun and charming infographics. A good example of the use of infographics is made by politicians and governments. Due to the dynamic design, it is possible to share information and statistics from this area without being massive, thus making it more pleasant and reaching more people.

Diagrams

You have probably seen in some police film those sketches on the walls, with photos of wanted, arrows and lines linking the investigated and suspects. Well, this is a diagram. A diagram is a good way to express a slightly more complex system. Usually, this representation of the data joins numbers, words and even short sentences, with or without images. Another good example of a diagram can be seen in the industrial area, to outline a production line.

In addition to these, there are some science classics that use the diagram as a study base. In chemistry, the famous Linus Pauling Diagram demonstrates how the distribution of electrons in an atom works. In mathematics, the Venn Diagram is used to understand the numerical sets, grouping and connecting the information.

The expansion of Big Data and the growth in the use of Data Visualization

With the constant evolution of technology, it is becoming more and more practical to obtain a large amount of data. Have you ever stopped to think about how population and political research were done in the past? It was necessary to do everything manually, collect the data using printed spreadsheets.

Nowadays, using small electronic devices it is possible to collect data in a faster and more practical way. And so, it is possible to increase the amount of data. Not to mention that these devices used also facilitate when processing data. You no longer need to manually group the information to be able to view the data. Device information is easily transferred to be used in software that allows you to create a Data Visualization more efficiently. Thus, if time is saved, data is increased and errors are reduced.

It should be noted that the greater the amount of data, that is, Big Data, the greater the demand for data visualization, Data Visualization. These two expressions go together and one needs the other to evolve. It should be noted that loose data are just numbers and are of little use for studies. Thus, data visualization tools are essential to optimize work and make presentations of large volumes of information uncomplicated. That is, the larger the Big Data size, the greater the demand for Data Visualization.

Conclusion

It is important to remember that the Data Visualization application can be used by different groups and types of people. Many students already use this artifice to facilitate the understanding of several subjects. And, depending on the area of ​​study, a timeline can be extremely effective in this learning process.

Timelinefy is a digital tool that allows the user to create and share timelines. This proposal allows everything to be done and consumed in a virtual environment and by anyone! It is worth knowing more about this Data Visualization tool by clicking here.