week 6
The most important things to make a visible data are intuitive, interactivity, and real-time. So the steps of the iterative process of visualizing the data are divided into data acquisition, then graph selection (presentation), and finally, graph drawing. After reading the article, I think the whole data visualization can be divided into two directions: the first is to focus on display, and the second is to focus on analysis.
The interface of the data visualization program is like a dashboard of a car. You can get the critical information you want at a glance —— from the amount of remaining fuel to the speed of the vehicle to the range of the car. In short, visual data is the ability to display all the critical information in one view. An excellent data visualization tool should have both of the following features. First of all, it looks cool. Second is a bright yet popular color. Too much white is dull, too many colors feel messy, so the interface should be appropriately balanced. For example, in the screenshot below, our first reaction was to notice the map in the upper right corner because of the color.
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