SPSSIt is a software for statistical products and service solutions. Originally, the full name of the software was "social science statistical software package". However, with the expansion of SPSS product service field and the increase of service depth, zol provides SPSS Chinese version download.
Introduction to SPSS Chinese Download Software
SPSSIt is a software for statistical products and service solutions. Originally, the software was called "SolutionsStatistical Package for the Social Sciences". However, with the expansion of SPSS product service field and the increase of service depth,SPSS has officially changed its full English name to "statistical products and service solutions" in 2000, which indicates that the strategic direction of SPSS is making major adjustments.
Software features
friendly interface
The Chinese version of SPSS presents all functions in a unified and standardized interface, which is very intuitive.The function display mode also uses the common Windows window mode, and the SPSS software download version gives users a familiar experience;
Simple operation
The operation mode of the Chinese version of spss also takes into account the user's usage habits.Users can use the software to serve specific scientific research work as long as they have certain Windows operating skills and are proficient in statistical analysis principles;
Powerful
The Chinese version of spss uses a similar EXCEL form to input and manage data. The data interface is relatively common. The SPSS software download version can easily read data from other databases.Its statistical process includes commonly used and relatively mature statistical process, which can meet the work needs of non statistical professionals;
Beautiful output
The Chinese version of spss is stored in a special SPO format, which can be transferred to HTML format and text format, and the output results are very beautiful.
Software benefits
1. Geospatial Association Rules
By using geospatial association rules, you can find patterns in data based on spatial and non spatial attributes.For example, patterns in crime data can be identified through location attributes and demographic information attributes.Based on these patterns, you can build rules to predict where a particular type of crime is likely to occur.
This procedure is available in the Basic Statistics option.
2. Space time prediction
Space time prediction uses data that includes location data, prediction input fields (prediction variables), time fields, and target fields.Each location has many rows in the data, and these rows represent the value of each prediction variable at each location at each time interval.
This procedure is available in the Basic Statistics option.
3. Time causal model
Time causal modeling attempts to discover key causal relationships in time series data.In temporal causal modeling, you specify a set of target sequences and candidate input sets for those targets.In this way, the process will build an autoregressive time series model for each target and only include those inputs that have causal relationships with the target.This method is different from traditional time series modeling, in which you must explicitly specify prediction variables for the target series.Because time causal modeling usually involves building models for multiple related time series, the results are called model systems.
Time causal modeling is available in the Forecast option.
4. Bulk load into database
When exporting data to the database, batch loading will submit the data to the database in batches instead of submitting one record at a time.This operation can make the operation faster, especially for large data files.
5. Programmability enhancements
&8226;Now you can run the R Integration Package for IBM&174; from any external R process;R programs of functions in SPSS&174; Statistics, such as R IDE or R interpreter.You can also run the SPSS Statistics command syntax from R.
&8226;Extension commands implemented through Python or R now support the use of TO and ALL keywords in variable lists.
&8226;IBM SPSS Statistics Essentials for R and IBM SPSS Statistics Essentials for Python now contain more extended commands and associated custom dialogs.In addition, you can access help for all extended commands installed with Essentials for R and Essentials for Python by pressing F1 in the syntax editor.
Installation steps
1. Download the latest version of SPSS, and double-click to install it.
2. Click as shown in the figure.
3. Click Accept Terms, and then click Next.
4. Click Change to select the installation path of the software;Or directly click Next, and the software will be installed in the default location.
5. Click Install, wait patiently for a while, and then click OK.
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