The aim of descriptive statistics is to describe the main features of a collection of data in quantitative terms . The visualization of the whole data table is seldom useful. It is preferable to summarize the characteristics of the data with some selected numerical indicators.
In this tutorial, we distinguish two kinds of descriptive approaches: the univariate tools which summarize the characteristics of a variable individually; the bivariate tools which characterize the association between two variables. According to the type of the variables (categorical or continuous), we use different indicators.
Keywords: descriptive statistics
Components: UNIVARIATE DISCRETE STAT, CONTINGENCY CHI-SQUARE, UNIVARIATE CONTINUOUS STAT, SCATTERPLT, LINEAR CORRELATION, GROUP CHARACTERIZATION
Tutorial: en_Tanagra_Descriptive_Statistics.pdf
Dataset: enquete_satisfaction_femmes_1953.xls
References:
Tanagra Tutorials, "Descriptive statistics"
