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Video Academy | Socio-Economic Area

The statistical analysis techniques presented in these videos are applicable to all subject areas, specifically focusing onexamplesof typesocial,economicAnddemographic.

How to prepare data for a questionnaire

Data preparation is often one of the longest phases of an analysis (70-80% of the entire journey)


In this video we show some of themain techniquesstatistics to transform data from a questionnaire so that they can be used for the actual analysis phase.

We will see thesimplicityand thespeedof using Statistics for Data Analysis powered by SPSS, an intuitive solution suitable for everyone.



  • Introductory context

  • The main techniques ofdata preparation:

    • Aggregations

    • Automatic recodings

    • Dataset restructuring

    • Calculation between variables

  • Practical examplewith Statistics for Data Analysis

See the features of the Data Preparation module

Principal component analysis

You need toto extractcertain characteristics or ofreduceyour sample size?



By watching this video, you will have the opportunity to see how it is possible with the technique ofPrincipal Components (PCA), which helpsidentifypatterns in the data based on thecorrelationbetween features.

This way, with a smaller size, it will be easier for youindividuatetrends,modelsoutliersin the data.



  • Contextintroductory

  • Theoryof the PCA

  • Examplepractical on amarket analysis

Look at the characteristics of the modulesBasicAndCategories

Surveys on local economies and the labor market with Statistics for Data Analysis

Today organs edentitiesas the Chambers of Commerce are among themain disseminators of economic-statistical dataof local economies.

The webinar shows:investigationsonstatisticsAndtrendof the economic situation and of the birth-death rate of the enterprises of a territory, surveys on the employment of recent graduates according to the main socio-economic variables of the territory, assessment of the demand for work and of the professional and training needs expressed by the enterprises.

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