The most basic feature of statistics is to use numbers as the language and speak with numbers. Therefore, statistical analysis must be based on statistical data, start with a large number of data, find problems, analyze problems, form opinions, sum up experiences and lessons, and put forward countermeasures and suggestions for improvement through in-depth research. This is the most basic feature of statistical analysis.
Statistical analysis must use various scientific statistical methods, observe the whole thing through a large number of scattered data, understand the whole picture, and understand the essence and motion law of things through the number of things. Such as a large number of observation, sampling inference, grouping analysis, comparative analysis, average analysis, correlation regression analysis, time series analysis, index analysis and sequence substitution method, as well as various statistical prediction methods. Without these methods to classify and compare a large number of data, and to process and calculate various analysis indexes, it is impossible to determine the nature of things, grasp their movement laws, and judge the level, quality, speed, benefit and development prospect of things.