What is the Use of Data Visualization

Source: Internet
Author: User
Keywords data visualization data visualization tools data visualization definition
What is visualization

However, in a broad sense, visualization is everywhere. When you open a browser, a website is a data visualization. Behind it is a dense database of data tables. When you reach your browser, it is a simple and easy to understand page.

Taobao is a visualization of commodities, with various filters on prices and shipping destinations. WeChat is a visualization of real-time data, which surrounds your social network and allows you to see the latest news flow at a glance.

Public opinion sometimes creates some new terms big data, o2o, cloud computing, and data visualization, but it seems that behind the rapid changes are the steady and slow changes in our understanding. There are not many innovations that really change the three views.

There are line graphs in the textbooks of elementary school, and then excel can be used to draw on the computer. In the past few years, if you open a certain big data product, it looks almost the same, just click and there will be interaction.

Data visualization in a narrow sense is more purely graphics to represent data, and there are many categories, but maybe you don't bother to understand.

Quick interpretation

The world of martial arts, only fast and not broken, visualization allows people to spot trends at a glance.

Psychologists say that 70% of the neural signals of the human brain come from vision, and our visual system is the most complete, and different sense organs can be transformed to some extent, and it is everyone's nature.



Many senses are strongly bound. Yes, length, and height are all positive, and nothing, short, and down are all negative. Think about what you usually say, your heart is strong, far-reaching, strong, strong and big, deep and harmonious Far, sturdiness (high hardness) and stability (high mass), all of us inadvertently bind synesthesia.

The speed and efficiency of different sensory acquisitions are different. Faced with a dense data sheet, it may be difficult to judge where the largest number is, but you can add a color to it at a glance:



Where is the biggest, where is the smallest, what is the trend.


If we convert data signals into feelings, when you look at the table above, you first recognize the numbers in the table, and then convert them into digital signals, it is far better to look at the colors at a glance.



This is very similar to the relationship between the GPU and the CPU. The GPU processes graphics super fast, but the tasks with more logic will stop. The CPU can handle complex tasks, but the complex drawing is exhausted. Existence means reasonableness. Reasonableness means Use whatever you want.



The human brain has some strange characteristics. For example, one sentence with three or four logics may put you down, and you can't memorize a very long article. With these two points, you can easily be killed by the computer in seconds, but Sometimes your reaction ability is stronger than that of a computer, such as vision. You can recognize at a glance that the old king next door is the old king, but the computer is difficult.



Human vision is powerful, which leads us to perceive data through vision faster than looking at data directly, and see trends at a glance.

Don’t you think your precious life shouldn’t be wasted on numbers?


Slices of the world (language/photography/data visualization)


Mapping is just a detail, a big data set in front of you, how do we design visualization?



Human thinking is endless. It is difficult for you to imagine how the cubes in four-dimensional space rotate, and it is also difficult to understand what kind of curve the moon revolves around the earth while the earth revolves around the sun. It is also difficult for you to understand a logic. A long sentence, for example, the house price growth rate of houses over 20 years old in Xuhui District of Shanghai in March last year was faster than the average house price growth rate in Shanghai. You may understand this sentence quickly, but it will be difficult to add a few more dimensions.



The brain is like a pipeline. When information is piping, the entrance will be blocked. Therefore, our ability to understand becomes dull in the increase of dimensions and logic.



Compare language with data visualization. When we talk or write articles, there are pauses. Each sentence is not long. The entire article is divided into a long pipeline in time according to chapters, paragraphs, sentences, and only a little bit at a time. According to the idiom of the programming world, it is "time for space." "The brain, the CPU, is slow to respond, but it’s okay. Tasks are queued, and you can figure out the problem if you spend more time reacting.



Because everything has many characteristics, that is, there are many data dimensions, and there are many fields reflected in the database, and you can't say a word, you have to cut them into pieces.



How much, today we don’t lack data, but how can we use massive amounts of data to describe your views and interpretations, answer your questions and doubts, and guide your actions and decisions?


Visualization is the same as talking. Angled visualization is not comprehensive. It is all-inclusive, that is, nothing is said. There is no data visualization that solves all problems. There are different answers from different angles. There are thousands of people.



This reminds me of the cover of "Bach, Gödel, and Escher: A Collection of Differences". The light passes through a three-dimensional object and is projected on three walls. Each slice contains a different letter:



Low-dimensional thinking is destined to understand that we can only understand three flat letters, but cannot understand the high-dimensional whole at once.

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