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Statistical Packages: SPSS
SPSS Statistics places constraints on internal file structure, data types , data processing , and matching files, which together considerably simplify programming. SPSS datasets have a two-dimensional table structure, where the rows typically represent cases such as individuals or households and the columns represent measurements such as age, sex, or household income.
Only two data types are defined: numeric and text or "string". All data processing occurs sequentially case-by-case through the file dataset. Files can be matched one-to-one and one-to-many, but not many-to-many. In addition to that cases-by-variables structure and processing, there is a separate Matrix session where one can process data as matrices using matrix and linear algebra operations.
The graphical user interface has two views which can be toggled by clicking on one of the two tabs in the bottom left of the SPSS Statistics window. The 'Data View' shows a spreadsheet view of the cases rows and variables columns. Unlike spreadsheets, the data cells can only contain numbers or text, and formulas cannot be stored in these cells. The 'Variable View' displays the metadata dictionary where each row represents a variable and shows the variable name, variable label, value label s , print width, measurement type, and a variety of other characteristics.
Cells in both views can be manually edited, defining the file structure and allowing data entry without using command syntax.
Quantitative Analysis and IBM® SPSS® Statistics (E-Book, PDF)
This may be sufficient for small datasets. Larger datasets such as statistical surveys are more often created in data entry software, or entered during computer-assisted personal interviewing , by scanning and using optical character recognition and optical mark recognition software, or by direct capture from online questionnaires. These datasets are then read into SPSS. Add-on packages can enhance the base software with additional features examples include complex samples which can adjust for clustered and stratified samples, and custom tables which can create publication-ready tables.
SPSS Statistics is available under either an annual or a monthly subscription license. V25 also includes new Bayesian Statistics capabilities, a method of statistical inference and publication ready charts, such as powerful new charting capabilities, including new default templates and the ability to share with Microsoft Office applications. Nie , Dale H. Bent, and C. Hadlai Hull.
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A processing run read a command file of SPSS commands and either a raw input file of fixed format data with a single record type, or a 'getfile' of data saved by a previous run. To save precious computer time an 'edit' run could be done to check command syntax without analysing the data. Excel allows a user to store information in a tabular format and interact with their data in an infinite number of ways. The most common is to sort and filter data as well as using formulas and pivot tables to manipulate the data to create new insights. Excel also allows multiple methods of importing and exporting data allowing it to be integrated into workflows.
It also has its own programming ability to automate steps or create your own custom functions known as VBA. Excel is the tool used for data entry and creating records which can be used further used and manipulated with respect to the user demands and be it manipulation or managing the data it is a very viable tool to use. It also provides the flexibility to use an external database to do analysis, make reports, etc.
Excel with the latest versions is having high graphics tools and visualization techniques. SPSS gives us knowledge on how the process is built in batches and work and the memory management in the programming areas. Excel gives us a view of how data can be used to study on how the data will be stored, processed and manipulated to reduce the redundancy and making it meaningful for further usage. SPSS gives us detailed insight into the utilization of computing storages and efficiency of the memory system.
Excel reveals on how to extract information and Knowledge from data in various format.
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SPSS sub-areas include computations, probabilistic theories, reasoning, discrete structures, and database. Excel includes much more formulated and simpler mathematical operations and analytics. SPSS is the major batch processing and statistical tool whereas Excel is a standard data manipulation application. SPSS is completely about efficiently using data manipulation techniques to fetch good results and Excel is about safely handling and storing the data. SPSS is completely batch processing with stats whereas Excel is data computing and formulation technique.