Today's content includes three aspects, the first is why to do data visualization; the second is the reference path about the implementation process of data visualization, and the detailed design ideas of data-based Kanban are analyzed by taking the double-drill design model as an example; third It is an introduction to some common data visualization tools. 1. Why do data visualization The so-called data visualization is divided into two parts: "visualization" and "data". If you search for the term "visualization" on Baidu Encyclopedia alone, you will find that it still means "data visualization", but in fact, the field of visualization is very large, such as movies, TV, short videos, etc. that everyone watches. a way to visualize.
And "data" includes the Arabic numerals mobile number list we learned in elementary school, the data in the Excel list used at work, or the business data in the system, and so on. Then the intersection of the two is naturally data visualization. In a narrow sense, data visualization refers to the use of statistical charts to present data. Broadly speaking, it refers to a general term for data visualization, information visualization, and scientific visualization. The term data visualization is flexible.
For example, we often hear a word called data analysis, and data analysis can also be connected with data visualization, called data visualization analysis or data analysis visualization. Therefore, in a broad sense, data visualization covers data analysis. After all, the pre-environment of any data visualization has been analyzed. There is another understanding, that is, it can also be considered that data analysis covers data visualization, because data visualization is one of the final products of data analysis. Today's content is based on a narrow sense, mainly about how to use charts to present data.