As a relatively cool interface display method with both interaction and vision, it can not only display multiple scenes on one screen at the same time, but also bring a strong visual impact to the viewer, so that they can intuitively understand the desired Real-time dynamic information to be concerned about, or analyze the current and future consumer email list status and trends through the data chart on the big screen. 2. What is data visualization? First of all, let's understand what is "data visualization"? Data visualization is the process of visually expressing abstract concepts and visualizing abstract languages with figurative graphics. A simple understanding is to present data in a visual form, such as charts or maps, to help people understand the data itself and the meaning behind it.
The principles of data visualization consumer email list A basic principle of data visualization is to present valuable data and insights through concise, accurate, and insightful charts. Therefore, visualizing data is not just a list of simple charts, but more importantly, it explains the meaning behind the data (actual problems & solutions); however, many times we just show a lot of cool charts, but do not solve any practical problems Problems; or data information with high value, not using a suitable presentation method, resulting in unclear expression, and losing in this "final". Let's use a simple relationship diagram to show whether a visual diagram reflects its due value. A chart needs not only to provide reference value, but also to take into account the speed at which the reader understands the information.
If it only provides value, but it is time-consuming to understand, it must be inefficient; if the data information is clearly displayed, but If it can't provide enough value, then it's just "empty appearance, lack of inner". So before we design a consumer email list chart, we need to know what fields constitute the data, the data type of each field, the dependencies between fields, etc. Think about how to fully describe the business with a concise architecture. Here's a simple example, such as the railway industry - "When? Which employee? Where? What work was performed? And the specific content of the work" Of course, such data is static. When facing our customers, they care more about questions and answers. And the problem is usually not a single problem, but a combination of a series of problems, and the process of finding a problem is more like "peeling an onion".