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Statistics Tables

The Statistics Tables Module analyses data by drawing customised tables, transforming data into information.

Statistics Tables simplifies data summarisation by providing the ability to choose different styles for different audiences. This module integrates analysis functions to understand data and functionality to develop tables that are easy to read and interpret.

This Statistics for Data Analysis module is useful for creating and updating reports on a regular basis, particularly for those using surveys or market research, social science, databases or direct marketing, but also scientific research in general.

Statistics Tables includes features that allow you to:

  • Obtain in-depth analysis to better understand the data and improve reporting for decision-making.

  • View previews of tables, allowing you to create accurate and precise reports in no time.

  • Customise the appearance and layout of tables to communicate results clearly and accurately.

  • Make the results available, offering information that can be used in practice.


Obtaining in-depth analyses


  • Including inferential statistics, also known as significance tests, to highlight opportunities or problem areas.

  • Comparing methods or proportions by demographic groups, customer segments, time periods or other categorical variables.

  • Identifying trends, changes or key differences in the data.

  • Showing significance test results directly in Statistics Tables format.

  • Selecting different summary statistics, including categorical variables, dispersion measures, multiple response series, scale variables and customised total summaries for categorical variables.


Viewing table previews


  • Dragging and dropping the variables onto the table development tool and display them in a preview panel before adding them to the tables.

  • Interacting with variables to immediately understand the structure of the data.

  • Moving variables from rows to columns for precise positioning; adding, swapping and nesting variables, hiding variable labels from the table preview function.

  • Compressing large or complex tables for a smaller view to display variables.

  • Previewing variable changes, including size, stack or nesting, categories of each variable and required statistics.


Customising the appearance and layout of tables


  • Creating totals and subtotals without changing the data file and sort categories in the table without affecting the subtotal calculation

  • Changing variable types, excluding categories, sorting categories by summary statistics and hiding categories that include subtotals.

  • Adding titles and headings, using table expressions and specifying minimum or maximum column widths when creating tables.

  • Choosing from several pre-formatted styles in Statistics for Data Analysis or creating your own styles.

  • Adding scripts to automate formatting and other repetitive tasks via Statistics Base.


Making results available


  • Creating customised tabular reporting for different users, including those without technical skills.

  • Using syntax and automation to manage the necessary reports in production mode or to create reports with the same structure.

  • Producing all results as pivot tables that can be easily exported to Microsoft Word, Excel or HTML, without changing the formatting.

Video on some of the functionalities of interactive reports with Statistics Tables

Technical sheet Statistics Tables

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