What are the analysis methods of data analysis?

Many data analysis will use some data analysis methods when analyzing data, but many people don't know what the analysis methods of data analysis are. For data analysts, it is necessary to know more data analysis methods, and data analysts will adopt different data analysis methods according to different variables in their work projects. The commonly used data analysis methods include cluster analysis, factor analysis, correlation analysis, correspondence analysis, regression analysis and variance analysis. Before we learn to use these data analysis, we must know what the definitions of these methods are.

First of all, let me talk about the method of factor analysis. The so-called factor analysis refers to the statistical technique of extracting * * * sexual factors from variable groups. Factor analysis is to find internal relations from a large number of data and reduce the difficulty of decision-making. The methods of factor analysis include image analysis, gravity center method, maximum likelihood method, least square method, α extraction method, Rao typical extraction method and so on 10.

Secondly, let's talk about regression analysis methods. Regression analysis is a statistical analysis method to study the dependence of a random variable Y on another variable (X) or a group of variables. Regression analysis is a statistical analysis method to determine the quantitative relationship between two or more variables. Regression analysis method is widely used. Regression analysis can be divided into univariate regression analysis and multivariate regression analysis according to the number of independent variables involved. According to the type of relationship between independent variables and dependent variables, it can be divided into linear regression analysis and nonlinear regression analysis.

Next, let's talk about the correlation analysis method. Correlation analysis is to study whether there is a certain dependence between phenomena and explore the direction and degree of correlation of specific phenomena with dependence. Correlation is an uncertain relationship.

Then the cluster analysis method. Cluster analysis refers to the analysis process of grouping the collection of physical or abstract objects into multiple classes composed of similar objects. Clustering is the process of classifying data into different classes or clusters, so the objects in the same cluster are very similar, while the objects in different clusters are very different. Cluster analysis is an exploratory analysis. In the process of classification, there is no need to give a classification standard in advance, and cluster analysis can automatically classify from sample data.

Then talk about the analysis of variance method. Variance data method is used to test the significance of differences between two or more samples. Due to the influence of various factors, the data obtained from the research is fluctuating. Analysis of variance starts with the variance of observed variables, and studies which variables among many control variables have significant influence on observed variables.

Finally, talk about correspondence analysis method. Correspondence analysis reveals the relationship between variables by analyzing the interactive summary table composed of qualitative variables. It can reveal the differences between the categories of the same variable and the corresponding relationship between the categories of different variables. The basic idea of correspondence analysis is to express the proportional structure of each element in the row and column of the linked list in the form of points in the low-dimensional space.

From the above, we find that there are many methods of data analysis. Besides the analysis methods mentioned in this paper, such as cluster analysis, factor analysis, correlation analysis, correspondence analysis, regression analysis and variance analysis, there are many numerical analysis methods. The above data analysis methods are all classic, so we must know more about the occurrence of this kind of related information. I hope this article can bring you help.