Interactive data visualization
Goals:
Deepen the knowledge of Statistics Tables in all its potential for reporting and data analysis
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Techniques presented:
All the main advanced and customized reporting techniques will be illustrated, such as tiling, nesting and stratification, the calculation of new categories, multiple choice sets and statistical tests
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Tutorials:
There are exercises for each of the topics covered.
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Prerequisites:
Attendance at the INTRO course or having an intermediate knowledge of Statistics for Data Analysis is a prerequisite
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Subjects:
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Introduction to Custom Tables
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The structure of the tables and the terminology used.
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Measurement level of the variables
Basic elements of tables
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The basic components of the table generator interface.
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The basic characteristics of summary statistics, categories and totals.
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Tables for categorical variables.
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Create a cross-tab.
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Check labels and display formats of summary statistics
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Tiling, Nesting and Statification
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Create tables with side by side (stacking).
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Create nested tables.
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Create tables with layers.
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Tables for scale variables.
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Tiling of scale variables-
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Create tables for summary statistics of scale variables grouped into categories.
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Use of summary statistics for different scale variables.
Totals, Subtotals and Categories
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Create totals and subtotals for categorical variables.
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Hide categories for subtotals.
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Sort and exclude categories.
Calculate new Categories
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Calculate the differences as part of the Custom Tables procedure.
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Calculate ratios as part of the Custom Tables procedure.
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Calculate percentages as part of the Custom Tables procedure.
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Nest tables with shared categories.
Tables for variables with shared categories
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Get summary statistics and totals for tables with shared categories.
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Create tables with percentages and averages.
Multiple choice sets
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Defining multiple response sets in Statistics for Data Analysis.
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Create tables with multiple response sets in custom tables.
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Create co-occurrence tables of multiple response sets in custom tables.
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Create tables with multiple response sets and other variables.
Statistics Tests
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Use statistical tests to verify the independence of the variables.
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Use statistical tests for comparing column proportions.
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Use statistical tests to compare column means.
Formatting and editing tables within Custom Tables
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Change data cell appearance.
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Hide cells with low values.
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Add titles, captions and corner texts to tables.
Formatting and editing Tables outside Custom Tables
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Use the features of the Pivot Table Editor.
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Change cell and table properties.
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Change the default TableLook applied to tables.
Missing values
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The default handling of missing values.
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Include missing values in tables.
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Get totals net of missing values.
Moving tables from other software
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Using the clipboard to export output to other applications.
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Using the Export Tool for PivotTables.
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Use of the OMS (Output Management System) functionality to manage the export of the statistics tables obtained in Statistics for Data Analysis.
Introduction to the Syntax for Custom Tables
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Syntax creation and execution.
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Description and use of the features of the Syntax Editor.
Using syntax for recurring analysis
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Produce multiple tables using syntax.
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Make simple syntax changes.
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Get the syntax from the journal file.
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Describe and use the features of the Production Job dialog.
Special tables for objective
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Create tables for comparing specific groups.
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Create tables for the differences between the variables.
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Create tables for aspect ratios (ratios)
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Create tables for differences in count variables.
Table recommendations
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Initial placement of variables.
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Create tables with percentages and averages.
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Create charts from tables and view large tables.
Advanced Tables - Editing
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Use the censor tables extension
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Use the modify tables extension