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How are the results of data analysis usually expressed?
Data analysis can be divided into two parts, one is the description of the analysis process and results, and the other is the further analysis of the results combined with professional knowledge, why there is such a result.

Data analysis refers to the use of appropriate statistical analysis methods to analyze, summarize, understand and digest a large number of collected data, so as to maximize the function of data and give full play to the role of data. Data analysis is a process of studying and summarizing data in detail to extract useful information and form conclusions.

The purpose of data analysis in this paper is:

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.