Introducing visual design to improve data persuasion

Today, data visualization can be seen in design, communication, information and data news, user interface , the introduction of visual design data greatly enhance the persuasive, readability and logic has been enhanced, he brought more than subversion tables, but an idea, It not only takes visual information as a communication tool, but also is an important means of data mining.

One, the form is dead, visible when the stand!

In the age of the Internet has not yet been born, there are a group of senators for data visualization made an indelible contribution, and so far they are still working hard, they are tables, pie charts, column charts.

But the fact is that pie charts and charts are only suitable for the expression of a dimension of information, the table can only show x,y two directions of two-dimensional information, the traditional data display form for the control of the modern performance of a large number of complex, multidimensional, information needs and appears powerless. The emergence of such contradictions, so that the new data visualization design forms in recent years has attracted much attention.

Two, the human Buddha All has the attire, the data also has the clothing

Data visualization (visualization) originated in the 1960 computer graphics, people use computers to create graphical charts, the data of various properties and variables presented. In today's era of information explosion, more sophisticated computing methods are needed to create a more complex, larger, or even dynamic, real-time interactive digital model, so data visualization is born and bred.

As the saying goes, people rely on clothing, the Buddha depends on gold, the data is the same.

In the field of data visualization, there are two main research directions:

1. Information Display class----------------------------------------------------

Middle East-who supports an immediate ceasefire?

An information map published in 07 on the front page of "Independent" magazine

Amaztype

Search for the books you want on the Amaztype book Search, and the results will be arranged in the form of the first letter of the search word. In the display of rich search results at the same time embodies the vertical search + visual search of the new search engine.

2. Data mining class-from the huge data, through the visualization of computer graphics analysis, from which to draw some kind of contact, to extract important information.

My map

Each circle on the periphery of this figure represents a person whose line represents a connection, and the more highlighted color represents the higher the frequency of communication. Based on 60000 e-mail archived data, lines with different color depths present the relationship between the user and the individual in the address book, such as reply, send, CC. The "My Map" allows information to be mined in different relationship groups and time periods, reflecting transient recessions and flows in different relationships, thus becoming a veritable visual reflection of self-portraits, personal relationships, and social interactions.

What have I been listening to?

Byron Lee describes his musical journey by creating a visual representation of the histogram based on his 18-month listening record.

Third, the data is also intentional, the design has the law

As the saying goes, tailor. In the data visualization, each piece of data has its existence significance, therefore we must take the data as the core in the visual design, designs it. Then, how to the "Data body" design to weigh, filter, and abstract and make its visualization, will become the key to our good clothes!

1. Data axis

In the data visualization, how to show a number of main lines, complex information?

In this evolutionary example, there are many evolutionary lines, and in the design, take the main line-the time axis, put this information into the spindle line, is a good way.

2. Information flattening

Let's look at one such survey: The time spent on different types of online applications by people of all ages and genders

How many tables and columns do you think should be used to sort out the whole thing?

Let's look at how the multidimensional information is successfully visualized:

This information is linked to a certain axis, and other relevant information is displayed in a traditional form, emphasizing its contrast, flattening the data with depth and complexity. So that readers can reach the first time to each level of information, the greatest reduction of the distance to communicate. Compress "3d" information, make its "2d" plane become the key of design.

3. Abstract

Data is always complex, and for data-mining users, the most useful data needs to be found, so we need to abstract a large amount of data, that is, to extract the most important data to the user.

The example of this man and woman is a good reflection of this, it only selected some representative keyword to form the elements of the screen, and the conditions for the screening of these data can be controlled by the rules of some kind of procedure. It strengthens the contrast of data and guarantees the accuracy of data.

All the information visualization design methods, all leave information integration, refining, screening, and even sublimation, visual communication in which the various elements have been fully experienced, rather than let the data to operate the visual language in the dance, rather than the visual language to provide the data new life.

Four, glossy in the outside, data in the inside!

In the field of data visualization, all the time in the birth of all kinds of dazzling, stunning works, rigorous technology and creative art once again in this new field has been the impact of a brilliant spark, boring data in the design of the wings in the era of information explosion to show people the unique charm of the data. In fact, under the beautiful exterior, its core content is the data, is the information.

And the visualization of the process is not only to beautify the chart so simple. The purpose of information visualization is not visualization, and the ultimate goal is to realize data mining from visualization to help people analyze problems. Design here is not only a manifestation, but a means, not only to the complex and boring data for visual design, but also with a variety of professional nature of the data analysis, understanding, abstraction, and to refine it, so for the designer for a long way.