IBM SPSS Statistics 27 is a world-leading data statistical analysis software. This powerful comprehensive analysis software will bring users faster, more effective and in-depth data mining functions. It is more practical than spreadsheets, databases or standard multidimensional tools. and convenience. It was originally developed by three foreign college students, and was later acquired by the world-renowned company “IBM”; after continuous optimization and function enhancement, it has become a leading data analysis platform in the industry, and has been sought after and affirmed by users all over the world!
The software provides a set of powerful functions that allow users to extract actionable information from huge amounts of data. In particular, with the help of the powerful advanced statistical program built into the program, you can understand large and complex data sets and data structures more quickly, so as to ensure that you can make high-precision and one-step-ahead decisions. And, you can also take advantage of its extended functions, such as Python, R programming language code and open source software for seamless integration! Compared with similar software, the data processing ability of this program is better and faster, and it can perform efficient data adjustment; through functions such as autonomously identifying invalid values, viewing missing data, summarizing variable distribution, etc., it can reduce data preparation for you time. You can also get Statacorp Stata MP 17.0 2023 By LicensedSoft.
IBM SPSS 27 New Functions:
- It advances the statistical procedure accordingly.
- At the same time, it also helps you share the results.
- In addition, it enables further predictive understanding from large and complex datasets.
- Fully supports ODBC and SQL.
- Bivariate statistics, this is just the beginning.
- Order grammar language.
- Python programmability extension.
- Complex information control.
- Clear information statistics.
- Direct return. Custom form options.
- Therefore, ground-cloud deployment options are provided.
- And, it helps you share the results.
- The readability and validity of published results.
- IBM SPSS Statistics 27 has a further predictive insight from a huge and complex collection of information.
- New steering options for better integration.
IBM SPSS 27 2023 New Features:
1. SPSS Geospatial association rules
By using geospatial association rules, you can find patterns in data based on spatial and non-spatial attributes. For example, you can identify patterns in crime data through location and demographic attributes. Based on these patterns, you can build rules to predict where certain types of crime are likely to occur.
This process is available in the “Basic Statistics” tab.
2. SPSS Spatiotemporal prediction
Spatiotemporal prediction uses data that contains location data, prediction input fields (predictor variables), time fields, and target fields. Each location has a number of rows in the data representing the value of each predictor at each time interval at each location.
This process can be obtained in the “Basic Statistics” option
3. Temporal Causal Modeling
Temporal causal modeling attempts to discover key causal relationships in time series data. In temporal causal modeling, you specify a set of target sequences and a set of candidate inputs for those targets. This way, the procedure will build an autoregressive time series model for each target and include only those inputs that are causally related to the target. This approach differs from traditional time series modeling where you must explicitly specify predictor variables for the target series. Since temporal causal modeling typically involves building a model for multiple related time series, the result is called a model system.
Temporal causal modeling is provided in the Prediction option.
4. SPSS Batch loading into the 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
You can now run R programs that use functions in the R Integration Package for IBM SPSS statistics from any external R process, such as R IDE or R interpreter. The software command syntax can also be run from R.
Extension commands implemented via Python or R now support the TO and ALL keywords in variable lists.
IBM SPSS Statistics – Essentials for R and Essentials for Python now include more extended commands and associated custom dialog boxes. Additionally, help for all the extension commands installed with Essentials for R and Essentials for Python can be accessed by pressing the F1 key in the syntax editor.
6. Advantages
The statistical analysis software with multi-language interface can be switched in real time, and the Chinese interface is clear and friendly
.
In domestic statistical applications, many users encounter difficulties in learning English statistical terminology, so they really hope that the software has a Chinese version. This software can switch the software language interface by itself, which meets the requirements of many people who want to use the Chinese version. The Chinese interface of this software has a fresh and friendly Chinese interface; the brand-new Chinese help document makes learning easier for users; it has concise and clear Chinese output, the results are clear at a glance, and it is more convenient to share and publish the results.
7. Statistical analysis software with comprehensive functions
This software covers the entire process of data analysis very comprehensively, providing a complete process of data analysis such as data acquisition, data management and preparation, data analysis, and result reporting. It is especially suitable for designing survey proposals, performing statistical analysis on data, and making relevant graphs in research reports. For users who read statistical analysis reports, they are already very familiar with the charts made by this software.
8. Quickly and easily prepare data for analysis
Before you conduct data analysis, you need to prepare and organize the data according to the analysis purpose and analysis techniques. The numerous technologies included in this software make data preparation very simple. Unlike other statistical analysis software, you don’t need to purchase additional products to complete important data preparation tasks. Given a list of variable values, and the number of values, you can add information based on these. Once the data dictionary is established, you can use the Copy Data Attributes tool to more quickly prepare data for analysis.
This software can open multiple data sets at the same time. Which is convenient for comparative analysis and database conversion processing of different databases during research. The software provides more powerful data management functions to help users use other application programs and databases through the software.
9. More File Support:
Supports data files in Excel, text, Dbase, Access, SAS and other formats. By using the data interface of ODBC (Open Database Capture). You can directly access the database management system with Structured Query Language (SQL) as the data access standard. Through the database. The export wizard function can easily write data into the database and so on.
This software supports super-long variable names (64 characters), which not only facilitates the needs of Chinese research. It also achieves better compatibility with today’s various complex data warehouses. You can directly use variable names in databases or data tables9, Using comprehensive statistical techniques for data analysis. In addition to general common summary statistics and row and column calculations. This software also provides a wide range of basic statistical analysis functions, such as data summary, counting, cross analysis, classification, descriptive statistical analysis, factor analysis , regression and cluster analysis, etc. It is convenient for market analysts to directly apply to specific problems.
New generalized linear models (GZLMs) and generalized estimating equations (GEEs) can used to deal with a wide range of statistical model problems. Use the multinomial Logistic regression statistical analysis function to obtain more diagnostic functions in the classification table 10. Use the presentation
chart Clearly express analysis results.
10. HD Export:
High-resolution, colorful pie charts, bar charts, histograms, scatterplots, 3D graphs, and more are standard features in this software. This software provides a new presentation graphics system that can produce more professional pictures. It includes all the graphs available in previous versions of the software and provides new features. It makes custom generation of graphs easier and the resulting graphs more readable. This software further enhances the function of the highly visual graph builder. The presentation graph system makes it easier for you to control the time of creating and editing graphs. Greatly reducing the workload, and you can create a graph or table at a time, and then use Drawing templates to save time. At the same time, the output function in PDF format enables users to better share information with other personnel.
Multidimensional pivot tables make the results more vivid. In IBM SPSS Statistics 27 software, users can create two independent Y-axes based on different value ranges in an overlay graph. Navigate through your tables by rearranging rows, columns and layers. Find important findings that might otherwise lost in standard reports.
