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.

Data analysis is a statistical method, and its main characteristics are multidimensional and descriptive. Some geometric methods are helpful to reveal the relationship between different data, draw statistical information maps and explain the main information contained in these data more concisely. Others are used to collect data and find out which ones are homogeneous in order to better understand the data.

Data analysis can process a large amount of data and determine the most useful part of these data. The success of this subject in recent years is largely attributed to the improvement of drawing technology. These charts can highlight relationships that are difficult to capture by directly analyzing data; More importantly, these expressions have nothing to do with the concept of "prior" based on the distribution of phenomena, which is just the opposite of classical statistical methods.

The mathematical foundation of data analysis was established in the early 20th century, but it was not until the appearance of computers that practical operation became possible and data analysis was popularized. Data analysis is the product of the combination of mathematics and computer science.

If fixed time is used as the granularity unit of data analysis, it is called time series analysis, which is one of the methods mainly used for business analysis of sales data.

Extended data:

diagnostic tool

Excel's own data analysis function can be used to complete data statistics and analysis unique to many professional software, including: histogram, correlation coefficient, covariance, various probability distributions, sampling and dynamic simulation, overall mean judgment, mean inference, linear and nonlinear regression, multiple regression analysis, moving average and so on.

In the field of business intelligence, Cognos, Style Intelligence, Microstrategy, BO and Oracle, and Yonghe Z-Suitebi suite and other domestic products.

References:

Baidu Encyclopedia-Data Analysis