Data analysis method: It is the most commonly used recording and processing method to express data in tabular form according to certain rules. The design of the table requires clear and simple correspondence, which is conducive to finding the correlation between related quantities.

In addition, it is required to indicate the name, symbol, order of magnitude and unit of each quantity in the title bar: calculation columns and statistical columns other than the original data can also be listed as required.

Data analysis purposes:

The purpose of data analysis is to extract the information hidden in a large number of seemingly chaotic data, so as to find out the internal law of the studied object. In practical application, data analysis can help people make judgments so as to take appropriate actions. Data analysis is a process of collecting and analyzing data in an organized and purposeful way, making it into information.

This process is the supporting process of quality management system. In the whole product life cycle, including market research, after-sales service and final disposal, it is necessary to properly use the data analysis process to improve the effectiveness.

For example, before starting a new design, designers should analyze the obtained data through extensive design investigation to determine the design direction, so data analysis plays an extremely important role in industrial design. ?