What is a data flow chart? What are its functions and characteristics?

Data flow diagram (DFD) is a traditional method to visualize the information flow in the system, which graphically describes a large number of system requirements. Specifically, the data flow chart mainly shows how information enters and leaves the system and how it changes in the system. Functions and features are as follows:

I. Functions

It is convenient for users to express functional requirements and data requirements and their relationship. It provides a general understanding framework for two kinds of people (such as developers and business people) to help them understand and plan the current system and future system framework. It can clearly and intuitively show the data flow, thus helping the team to better understand the workflow of the system.

Second, the characteristics

1, abstract: The details of specific organization, workplace and material flow are removed from the data flow chart, and only the core contents of information and data storage, flow, use and processing are retained. Universality: It links the processes of various services in the system to form an overall perspective, rather than treating each process in isolation.

2. Difference from other flowcharts: Data flowcharts are different from traditional flowcharts, wireframes and other flowcharts. The drawing of data flow chart is based on the data point of view, focusing on the flow and processing of data, while other flow charts may pay more attention to the realization of specific workflow or tasks.

The related knowledge of visualization system is as follows:

1. Visualization system is a technology that transforms abstract and complex data information into intuitive and understandable graphics or images. It helps users to understand and analyze data by visual means, so as to make more accurate decisions. The main components of visualization system include data source, data processing module, visualization engine and user interface.

2. Data source is the source of providing data, which can be in the form of database, file and network. The data processing module is responsible for cleaning, transforming and aggregating the original data, so as to facilitate the subsequent visualization processing. Visualization engine is the core part of data visualization. According to the user's instructions and the characteristics of data, it selects the appropriate visualization method to generate the corresponding graphics or images.

3. User interface provides an interactive interface with users, through which users can operate the visualization system and view and analyze the results. Visualization systems are widely used, including but not limited to business intelligence, big data analysis, scientific research, news reporting and other fields. For example, in business intelligence, visualization systems can help enterprises in the form of charts.