Data analysis with SPSS and its features

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SPSS data analysis

Introduction

Statistical Package for the Social Sciences (SPSS) is an IBM tool that was introduced in 1968. This is one software package that is mostly used for statistical analysis.
SPSS Data analysis is mainly used for health, marketing, and educational research, by market researchers, survey companies, government, marketing organisations, and data miners. In addition to descriptive statistics, numerical outcome predictions, and group identification, this software also provides data transformation, graphing, and direct marketing options.

Features of SPSS

  • A survey collected through Survey Gizmo can easily be exported into SPSS for detailed analysis.
  • SPSS stores data in the SAV format. This format allows data to be manipulated, analysed and pulled very easily. These data are generally gathered from surveys.
  • Statistical packages such as SPSS have easy access to data with different variable types, and the data is easy to understand. With SPSS, researchers can easily set up models because most of the process is automated.
  • With SPSS, we can do anything with the data. The possibilities are endless.
  • With SPSS, you can obtain data from critical data. You can find trend analysis,assumptions, and predictive models in SPSS.
  • You will find SPSS easy to learn, use, and apply.
  • It is helpful to have data management systems and editing tools at hand.
  • With SPSS help, you can analyse the exact results in depth.
  • We can use SPSS to design, plot, report, and present features for more clarity.
spss help

Conclusion

SPSS help to analyse all kind of data whether it is in big massive data or it is unstructured data. SPSS will give you the best outcome results. Data analysis through SPSS is better than excel and many others tools. At last analysis and research using SPSS can enhance your business growth and improve your organisation strength.

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