24 Jul, 2020
Imagine that you need to hear a recording with 500 voices speaking at the same time. They say very important things, but everything is messed up and you can only hear a few words and still cost a lot. You won't be able to understand anything, will you?
Now, imagine that in this same scenario you can use software that separates all the voices, classifies each one according to the genre of the speaker, separates each message according to the subject that gives cores to each one of them. Setting up an infographic that lists all communication data. Everything just got easier, didn't it? That's exactly what Data Visualization does.
Now let’s call this bunch of big data shipments. Big Data came with everything. In the information age, strategies that revolve around data have been increasingly consolidated around the world. This is because only the data is like a new car, but it cannot be licensed to drive: you cannot go anywhere.
This is what Data Visualization enters into the field as an effective methodology for presenting data. Concept that may be new to you, but very familiar. Data Visualization is nothing more than the graphical representation of data from a design that communicates what you want more easily.
Proof of this is that, with each passing day, Power BI has taken the place of the Excel spreadsheet editor. But why? Well, this is due to the fact that Power BI enables more dynamic readings of complex data much better than Excel. In addition to also having a spreadsheet, it allows the creation of infographics, diagrams and timelines, in addition to allowing the user to correlate all the data he wants.
Soon, Data Visualization, which today is a differentiator, will be a prerequisite. Are you prepared to deal with a market that breathes Data Visualization? In this text you will know some excellent tips for your readings on this methodology, which will certainly surprise you.
The importance of Data Visualization in conducting research and analysis
Everyone wins with Data Visualization ,. Whoever elaborates a project that involves the methodology can present something more practical, didactic and simple, even if the data are complex. For those who read this project, there will be a better understanding considering that Data Visualization implies a very visual appeal that links communication, design and data science.
Knowing that Data Visualization facilitates by presenting data in an organized way and with great visual appeal, it is possible to state that the methodology makes all the difference in a research or analysis that requires a massive amount of information.
Data Visualization will be the “Mise in place” of all data in your study. That is, it will put everything in order so that you can “get your hands dirty” and know where your research or analysis data is pointing.
Imagine serious research on testing a new dermatological drug. There are several data that need a complete analysis in order not to make room for any error. The more data, the closer to the gold standard the study will be. And the more organized, the better you will know about the test drug.
Discover 5 good readings on Data Visualization
So far you've already had a brief sense of the importance of Data Visualization, haven't you? So now we are going to give you reading tips that are sure to make a difference in your learning about this fundamental methodology these days.
The subject is vast and will only be effective in your life if you capture as much content as Data Visualization contemplates. No sailor navigates the seas without knowing the least amount of navigation, right? That is why it is important to know the theoretical basis to be able to truly immerse yourself in this ocean of knowledge that Data Visualization provides. Let's go to the books.
Cartographies of Time - Daniel Rosenberg and Anthony Grafton
This work is co-authored by Daniel Rosenberg and Anthony Grafton and had its first edition released in February 2012. Anthony Grafton is a professor at Henry Putnam University at Priceton University. Daniel Rosenberg is a professor of history at the University of Oregon.
Cartographies of Time is a work that will tell the story of the timeline in a unique way and that involves anyone who reads it. Without skimping on the incredible visuals, the book is the summary of all the talent of Anthony and Daniel who, besides being great historians, turn out to be excellent writers.
Reading uses the methodology of Data Visualization to be able to approach the history of the timeline and will certainly interest all those who are thirsty for knowledge. A book with double learning, because in addition to understanding the dynamics of the timeline, you know the story about the western view. A book that is certainly worth checking out.
Information Dashboard Design: Displaying Data For At-a-glance Monitoring - Stephen Few
Stephen Few has a consultancy, the perceptual Edge, in which he is a founder. Launched in August 2013, this book is a true 260-page Stephen Few lesson on how to create great panels. It is not for nothing that he is considered one of the leaders in Data Visualization. The book presents and analyzes several problems that commonly occur in panel design and narrates the best design practices through practical examples, something that makes learning much more didactic.
Learn with a focus on the visual. Nothing more fair for those who are one of the experts in the methodology of Data Visualization, isn't it?
Storytelling with Data: A Data Visualization Guide for Business Professionals - Cole Nussbaumer Knaflic
Cole Nussbaumer Knaflic is one of the greatest minds in Data Visualization. Promoting several workshops around the world, Cole has mastered the art of storytelling based on data science. In addition, she has already written two books on Data Visualization. Storytelling with Data is one of them.
Don't art and business mix? Cole proves otherwise with his adorably well-written and engaging work. For many, their natural talent for storytelling with data is unique, so Storytelling with Data is sure to be an unparalleled read. The book released in January 2019 brings good examples, in addition to having a simple language, without much forearms to understand. A current reading for you to learn.
Alberto Cairo's work is excellent for those who are starting in the field of graphics and Data Visualization or even communication professionals who deal with designers. It is so important it can be considered mandatory for anyone who wants to acquire knowledge of the methodology through readings.
In the book “The functional Art”, Alberto Cairo shows us everything that a good graphic needs in a simple way of understanding. All of this based on arguments supported by clear examples. Be from your own work as from other professionals. In addition, Cairo addresses several cognitive aspects of our mind without technical language, which does not keep the reader from reading.
Preview This: The FlowingData Guide to Design, Visualization, and Statistics - Nathan Yau
A little older than the others already presented, released in July 2011, Visualize This by Nathan Yau, who is a great expert in Data Visualization, brings good data design tips. Nathan teaches how to maximize the potential of data through design.
The book also offers step-by-step tutorials that help in the creation of statistical graphs, geographic maps and other platforms for the reader to improve their way of organizing data with Data Visualization. You will be surprised.
Now you can get a better sense of Data Visualization, understand the ways to apply the methodology and, in addition, have seen 5 good books to learn and improve your knowledge of Data Visualization.
It is important to say that knowledge is never too much. Therefore, although they are very good, do not limit yourself to only the works presented here. Visit our blog and check other subjects, access.