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This article mainly explains "what is the use of learning SPSS data analysis". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "what's the use of learning SPSS data analysis"?

1. What is SPSS?

SPSS is the abbreviation of social statistical science software package, and its official full name is IBM SPSS Statistics. The SPSS software package was originally developed by SPSS Inc. Launched in 1968 and acquired by IBM in 2009, it is mainly used in data management and statistical analysis in various fields. As the standard of world social science data analysis, SPSS has an extremely friendly operation interface and a beautiful output interface. It is also equipped with a very detailed user manual.

2. What are the functions of SPSS?

The main functions of SPSS are: data editing, visualization, table editing, joining other software and statistics.

(1) data editing

Through the data editing function of SPSS, the data can be added, deleted and modified, and the data can be split, weighted, sorted, aggregated and so on.

(2) Visualization

SPSS has a very powerful drawing function, which can automatically output the statistical chart of descriptive analysis according to the model to reflect the internal relationship between different variables; at the same time, users can customize the basic properties of statistical chart to make the data analysis report more beautiful. Among them, the basic chart includes bar chart, fan chart, pie chart, bar chart, box chart, histogram, Pmurp chart, QmurQ chart and so on. Its interaction diagram is more beautiful, including bar interaction diagram, ribbon interaction diagram, box interaction diagram, scatter interaction diagram and other different styles of 2D and 3D diagrams.

(3) form editing

Users can use SPSS to draw different styles of tables, and the tables can be edited in a viewer or in a special editing window.

(4) connect with other software

SPSS can open many types of data files, including Excel, Access, DaBase, text editor, Lotus 1-2-3, and so on. Users can also save pictures in different image formats.

(5) Statistics

CDA data analysts believe that SPSS statistical function is a key module for data analysis, through which most mathematical statistical model analysis can be completed, including regression analysis, contingency table analysis, cluster analysis, factor analysis, correlation analysis, correspondence analysis, time series analysis, discriminant analysis and so on.

3. How to use SPSS for data analysis?

First of all, what is the general process of data analysis? Data analysts divide a complete data analysis project into data acquisition-data storage-data preprocessing-modeling and analysis-visual analysis.

(1) data acquisition

There are three main ways to obtain external data, one is to obtain the data published on some domestic websites, such as the National Bureau of Statistics, and the other is to obtain the data on the website through tools such as crawlers. The other is through the internal database of the enterprise. SPSS has a rich database interface, which can easily read data from the database.

(2) data storage

For projects with small amount of data, excel can be used to deal with data, but for projects with more than 10,000 data, using database to store and manage will be more efficient and convenient. SPSS also has its own data format for data storage, the sav file. Users can save the data processed by SPSS to sav format, and at the same time, it is very convenient to convert sav files to other data formats.

(3) data preprocessing

Data preprocessing is also called data cleaning. In most cases, the format of the data we get is inconsistent, and there are some problems such as abnormal values, missing values and so on, and the methods of data preprocessing steps for different projects are also different. CDA data analysts believe that 80% of the work of data analysis is processing data, which shows the importance of data preprocessing in data analysis.

(4) Modeling and analysis.

At this stage, we should first make clear the structure of the data and select the model according to the project requirements.

(5) Visual analysis.

The last step of data analysis is to write a data analysis report, which generally includes data visualization analysis.

(6) the four stages of data analysis by SPSS:

The preparation phase of a.SPSS data

At this stage, according to the requirements of SPSS, SPSS data files should be prepared by using the functions provided by SPSS. It includes defining the structure of SPSS data in the data editing window, inputting and modifying SPSS data and so on.

The processing and finishing stage of b.SPSS data

This stage mainly carries on the necessary preprocessing to the data in the data editing window.

Analysis phase of c.SPSS data

Choosing the correct statistical analysis method to analyze and model the data in the data editing window is the core task of this stage. Because SPSS can automatically complete the mathematical calculation in the process of modeling and give the calculation results automatically, it effectively shields many mathematical formulas which are very obscure to ordinary users, and analysts do not need to remember mathematical formulas, which undoubtedly paves the way for the wide application of statistical analysis methods and SPSS.

Reading and interpretation of the results of d.SPSS Analysis

The main task of this stage is to understand the analysis results in the SPSS output editing window, clarify its statistical meaning, and make a practical and reasonable explanation combined with the application background knowledge.

At this point, I believe you have a deeper understanding of "what is the use of learning SPSS data analysis"? you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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