second week

When I was reading this intro and the first chapter, I always thought I was reading a psychological book. The reason is that both sections mention a lot of sensory phenomena. For example, everything said about our senses is transformed. Deep down, our thoughts become simple or textured. The brain doesn't just process information through the eyes. It also creates mental visual images that enable us to reason and plan actions that help survive.

Many things I read in the second week are similar to what I read in the first week. For example, using color to express data is the right way. Because colored pictures can easily attract viewers, graphics, charts, and maps are not just tools for viewing, but tools for reading, double-checking, and double-checking. But we also need to be transparent while focusing on aesthetics. Making data beautiful is not just for eye-catching, but for people to understand. The relationship between visualization and art is similar to the connection between news and literature. An excellent way to find the correct data is to go to official websites, such as the UN website.

But I think that many times, it is easy for us to first consider setting colorful colors to achieve a neat appearance without considering whether these colors have practical significance. Obviously, colorful charts may help advertising performance, but distract readers from the precious data itself. In most cases of visualizing the data, we need to make the color matching easy to identify and distinguish. The second line is a counterexample. The recognition between colors is too low.

The role of an information architect is to anticipate this process and generate information graphics and visualization design information before the human brain attempts to make an essential part of the order. Visualization should be seen as a technology.

First week reading

Using statistical charts to analyze data and turn data In pictures, people can read the original data faster through visual symbols. Comparing charts present the statistical charts to improve people's understanding of data.

One of the most important conclusions I've learned in two chapters is that any chart, no matter how well designed, can mislead us if we don't pay attention. If we want to read the graph well, we have to pay attention to the nature of the content of the chart. In a nutshell, a figure is a way of turning symbols into language.

The core element of most charts is its visual coding. My favorite graph is bar graph. The reason is that most people know the bar graph and can understand what it means. The bar graph is very straightforward and gives us accurate information — the number of different lengths used in the bar statistics. Then the bar in a particular order. It's easy to see how many there are in the bar chart, so I think kids can understand that.

YEAH