In fact, we can think that data visualization lowers the threshold of data analysis. This is because data visualization makes it very simple to understand data. The audience is not a statistician and doesn't understand all kinds of complicated mathematical formulas. They can also quickly find some problems from the chart and explore the potential business value, thus helping to make better business decisions. At the same time, data visualization tools also reduce the learning cost of the audience. Listeners don't need to know how to use those professional statistical tools and modeling tools, and they don't need to call back any programming languages. They just need to connect the data, and they can easily understand the meaning of the data by dragging.
From the above, we can easily find that data visualization is an important part of big data. In fact, with the rapid development of the Internet in recent years, statistics show that the global data volume is growing at an average annual rate of 50%, and 80% of the current data volume was generated in the last two years. This shows that now is the era of data. In the face of such a huge amount of data, how to use it is a key. Big data can do many things. When we use data visualization, we need to have a clear goal. This goal is to make data better understood and, like other tools, enable enterprises to master the growing data stream. Of course, we must also promote data discovery to help people make better decisions.
As we all know, everything has two sides, and big data is no exception. If we make good use of big data, we can benefit users. For example, autonomous driving and alpha dogs are the crystallization of human intelligence, machine intelligence and big data. But if we don't make good use of it, it is a waste of resources and an invasion of personal privacy, so we can quote a famous saying, which is what Dickens said: this is the best era and the worst era; This is an era of wisdom and stupidity; This is a period of faith, but also a period of doubt; This is a bright season and a dark season; This is the spring of hope and the winter of disappointment; Everyone has everything in front of him, but nothing in front of him. Therefore, when we use big data, we still have to control the direction in order to promote the development of human society.
So what should we pay attention to in data visualization and reporting? In fact, the word data visualization and the differences between data visualization tools and reports and traditional reporting tools such as Excel and PPT need to be understood. In fact, there are many similarities between the two, and many data visualization displays are static reports. However, a very important point of data visualization is its interactivity, which is displayed in a dynamic way and covers more information than static reports.
In this paper, we introduced a lot of knowledge about data visualization. Through this knowledge, we can easily find that data visualization is a very practical tool. Therefore, it is necessary for us to master the tools and skills of data visualization, so that data visualization can make greater contributions to us.