Graphics can help us understand the development and state of data, it can clearly show the changing trend of data and reflect the general law of data. Therefore, graphs are widely used in data analysis in economic, financial, environmental and other fields.
Compared with other types of charts and graphs, graphs have their unique advantages. First of all, it can highlight the changing trend and periodic change of data, which is very practical and adaptive for analyzing historical data and predicting future trends.
Secondly, graphics can directly reflect the speed and degree of data changes, and at the same time, we can compare the data changes in different regions and at different time points.
The diagram is easy to read and understand, because it is displayed in simple language and images, and it is very easy for users to use and operate.
Because of its advantages, graph has been widely used in modern data analysis and decision-making. Here are some application scenarios:
Economy and finance: in forecasting stock market, money market, interest rate change and inflation,
Ecological environment: analysis of climate, air pollution, water resources and natural disasters.
Medicine and life sciences: study disease trends, population health and epidemiology.
4. Computer Science: Help developers optimize and improve software and applications in evaluating software performance and network load.
These are just some application scenarios of graphs. In fact, they have very wide application value and broad application prospects in more fields.